Datasets Available¶

1. Ecoregions of the Conterminous United States¶

name: ecoregions-us
reference: ecoregions-us’s home link.
citation: [‘U.S. Environmental Protection Agency. 2011. Level III ecoregions of the conterminous United States. U.S. EPA, National Health and Environmental Effects Research Laboratory, Corvallis, Oregon, Map scale 1:3,000,000’, ‘U.S. Environmental Protection Agency. 2011. Level III and IV ecoregions of the conterminous United States. U.S. EPA, National Health and Environmental Effects Research Laboratory, Corvallis, Oregon.’]
description: Ecoregions of the Conterminous United States

2. Nematode traits and environmental constraints in 200 soil systems¶

name: nematode-traits
reference: https://figshare.com/articles/Data_Paper_Data_Paper/3552057
citation: Christian Mulder and J. Arie Vonk. 2011. Nematode traits and environmental constraints in 200 soil systems:scaling within the 60–6000 µm body size range. Ecology 92:2004.
description: This data set includes information on taxonomy, life stage, sex, feeding habit, trophic level, geographic location, sampling period, ecosystem type, soil type, and soil chemistry

3. Mammal abundance indices in the northern portion of the Great Basin¶

name: great-basin-mammal-abundance
reference: https://figshare.com/articles/Data_Paper_Data_Paper/3525485
citation: Rebecca A. Bartel, Frederick F. Knowlton, and Charles Stoddart. 2005. Mammal abundance indices in the northern portion of the Great Basin, 1962-1993. Ecology 86:3130.
description: Indices of abundance of selected mammals obtained for two study areas within the Great Basin.

4. Mapeamento de iniciativas (e catálogos) de dados abertos governamentais no Brasil.¶

name: catalogos-dados-brasil
reference: https://github.com/dadosgovbr/catalogos-dados-brasil
citation: Augusto Herrmann, Catálogos de dados abertos no Brasil, (2015), https://github.com/dadosgovbr/catalogos-dados-brasil
description: Um catálogo de dados é uma coleção curada de metadados a respeito de conjuntos de dados

5. Biomass and Its Allocation in Chinese Forest Ecosystems (Luo, et al., 2014)¶

name: forest-biomass-china
reference: forest-biomass-china’s home link.
citation: Yunjian Luo, Xiaoquan Zhang, Xiaoke Wang, and Fei Lu. 2014. Biomass and its allocation in Chinese forest ecosystems. Ecology 95:2026.
description: Forest biomass data set of China which includes tree overstory components (stems, branches, leaves, and roots, among all other plant material), the understory vegetation (saplings, shrubs, herbs, and mosses), woody liana vegetation, and the necromass components of dead organic matter (litterfall, suspended branches, and dead trees).

6. Poker Hand dataset¶

name: poker-hands
reference: http://archive.ics.uci.edu/ml/datasets/Poker+Hand
citation: Lichman, M. (2013). UCI Machine Learning Repository [http://archive.ics.uci.edu/ml]. Irvine, CA: University of California, School of Information and Computer Science.
description: A dataset used to predict poker hands

7. Phylogeny and metabolic rates in mammals (Ecological Archives 2010)¶

name: mammal-metabolic-rate
reference: https://figshare.com/collections/Phylogeny_and_metabolic_scaling_in_mammals/3303477
citation: Isabella Capellini, Chris Venditti, and Robert A. Barton. 2010. Phylogeny and metabolic rates in mammals. Ecology 20:2783-2793.
description: Data on basal metabolic rate (BMR) with experimental animal body mass, field metabolic rate (FMR) with wild animal body mass, and sources of the data. Ecological Archives E091-198-S1.

8. Database of Vertebrate Home Range Sizes - Tamburello et al., 2015¶

name: home-ranges
reference: http://datadryad.org/resource/doi:10.5061/dryad.q5j65/1
citation: Tamburello N, Cote IM, Dulvy NK (2015) Energy and the scaling of animal space use. The American Naturalist 186(2):196-211. http://dx.doi.org/10.1086/682070.
description: Database of mean species masses and corresponding empirically measured home range sizes for 569 vertebrate species from across the globe, including birds, mammals, reptiles, and fishes.

9. The effects of biodiversity on ecosystem community, and population variables reported 1974-2004¶

name: biodiversity-response
reference: https://figshare.com/articles/Data_Paper_Data_Paper/3530822
citation: Bernhard Schmid, Andrea B. Pfisterer, and Patricia Balvanera. 2009. Effects of biodiversity on ecosystem community, and population variables reported 1974-2004. Ecology 90:853
description

10. USDA plant list - taxonomy for US plant species¶

name: plant-taxonomy-us
reference: http://plants.usda.gov
citation: USDA, NRCS. 2017. The PLANTS Database (http://plants.usda.gov, DATEOFDOWNLOAD). National Plant Data Team, Greensboro, NC 27401-4901 USA.
description: Plant taxonomy data for the United States from the USDA plants website

11. Foraging attributes for birds and mammals (Wilman, et al., 2014)¶

name: elton-traits
reference: elton-traits’s home link.
citation: Hamish Wilman, Jonathan Belmaker, Jennifer Simpson, Carolina de la Rosa, Marcelo M. Rivadeneira, and Walter Jetz. 2014. EltonTraits 1.0: Species-level foraging attributes of the world’s birds and mammals. Ecology 95:2027.
description: Characterization of species by physiological, behavioral, and ecological attributes that are subjected to varying evolutionary and ecological constraints and jointly determine their role and function in ecosystems.

12. Effects of biodiversity on the functioning of ecosystems:A summary of 164 experimental manipulations of species richness¶

name: species-exctinction-rates
reference: https://figshare.com/articles/Data_Paper_Data_Paper/3530825
citation: Bradley J. Cardinale, Diane S. Srivastava, J. Emmett Duffy, Justin P. Wright, Amy L. Downing, Mahesh Sankaran, Claire Jouseau, Marc W. Cadotte, Ian T. Carroll, Jerome J. Weis, Andy Hector, and Michel Loreau. 2009. Effects of biodiversity on the functioning of ecosystems:A summary of 164 experimental manipulations of species richness. Ecology 90:854.
description: A summary of the results on the accelerating rates of species extinction

13. Abalone Age and Size Data¶

name: abalone-age
reference: http://archive.ics.uci.edu/ml/datasets/Abalone
citation: Lichman, M. (2013). UCI Machine Learning Repository [http://archive.ics.uci.edu/ml]. Irvine, CA: University of California, School of Information and Computer Science.
description: Database to aid in the prediction of the age of an Abalone given physical measurements

14. A database on visible diurnal spring migration of birds¶

name: bird-migration-data
reference: https://figshare.com/articles/Data_Paper_Data_Paper/3551952
citation: Georg F. J. Armbruster, Manuel Schweizer, and Deborah R. Vogt. 2011. A database on visible diurnal spring migration of birds (Central Europe:Lake Constance). Ecology 92:1865.
description: Birds migration data

15. Barnacle, fucoid, and mussel recruitment in the Gulf of Maine, USA, from 1997 to 2007¶

name: marine-recruitment-data
reference: https://figshare.com/articles/Data_Paper_Data_Paper/3530633
citation: Peter S. Petraitis, Harrison Liu, and Erika C. Rhile. 2009. Barnacle, fucoid, and mussel recruitment in the Gulf of Maine, USA, from 1997 to 2007. Ecology 90:571.
description: This data set provides access to recruitment data collected in the experimental plots from 1997 to 2007

16. Car Evaluation¶

name: car-eval
reference: http://archive.ics.uci.edu/ml/datasets/Car+Evaluation
citation: Lichman, M. (2013). UCI Machine Learning Repository [http://archive.ics.uci.edu/ml]. Irvine, CA: University of California, School of Information and Computer Science.
description: A database useful for testing constructive induction and structure discovery methods.

17. Wisconsin Breast Cancer Database¶

name: breast-cancer-wi
reference: http://archive.ics.uci.edu/ml/datasets/Breast+Cancer+Wisconsin+%28Diagnostic%29
citation: Lichman, M. (2013). UCI Machine Learning Repository [http://archive.ics.uci.edu/ml]. Irvine, CA: University of California, School of Information and Computer Science.
description: Database containing information on Wisconsin Breast Cancer Diagnostics

18. Demography of the endemic mint Dicerandra frutescens in Florida scrub¶

name: dicerandra-frutescens
reference: https://figshare.com/articles/Data_Paper_Data_Paper/3529460
citation: Eric S. Menges. 2008. Demography of the endemic mint Dicerandra frutescens in Florida scrub. Ecology 89:1474.
description: Study of the demography of Dicerandra frutescens, an endemic and endangered mint restricted to Florida scrub

19. Sonoran Desert Lab perennials vegetation plots¶

name: veg-plots-sdl
reference: https://figshare.com/articles/Data_Paper_Data_Paper/3555756
citation: Susana Rodriguez-Buritica, Helen Raichle, Robert H. Webb, Raymond M. Turner, and D. Lawrence Venable. 2013. One hundred and six years of population and community dynamics of Sonoran Desert Laboratory perennials. Ecology 94:976.
description: The data set constitutes all information associated with the Spalding-Shreve permanent vegetation plots from 1906 through 2012, which is the longest-running plant monitoring program in the world.

20. Transparency and Open Data Portals of Brazilian states and municipalities¶

name: transparencia-dados-abertos-brasil
reference: https://github.com/augusto-herrmann/transparencia-dados-abertos-brasil
citation: Augusto Herrmann, Transparency and Open Data Portals of Brazilian states and municipalities, (2017), GitHub repository, https://github.com/augusto-herrmann/transparencia-dados-abertos-brasil
description: Tabelas com o levantamento de portais estaduais e municipais de transparência e dados abertos, feito originalmente por Rodrigo Klein em sua tese de doutorado na PUC/RS, em 2017

21. The distribution and host range of the pandemic disease chytridiomycosis in Australia, spanning surveys from 1956-2007.¶

name: chytr-disease-distr
reference: https://figshare.com/articles/Data_Paper_Data_Paper/3547077
citation: Kris Murray, Richard Retallick, Keith R. McDonald, Diana Mendez, Ken Aplin, Peter Kirkpatrick, Lee Berger, David Hunter, Harry B. Hines, R. Campbell, Matthew Pauza, Michael Driessen, Richard Speare, Stephen J. Richards, Michael Mahony, Alastair Freeman, Andrea D. Phillott, Jean-Marc Hero, Kerry Kriger, Don Driscoll, Adam Felton, Robert Puschendorf, and Lee F. Skerratt. 2010. The distribution and host range of the pandemic disease chytridiomycosis in Australia, spanning surveys from 1956-2007. Ecology 91:1557.
description: The data is of a distribution and host range of this invasive disease in Australia

22. National_Lakes_Assessment_Data¶

name: nla
reference: nla’s home link.
citation: NA
description: The National Aquatic Resource Surveys (NARS) are statistical surveys designed to assess the status of and changes in quality of the coastal waters of the nation, lakes and reservoirs, rivers and streams, and wetlands. Using sample sites selected at random, these surveys provide a snapshot of the overall condition of water belonging to the nation. Because the surveys use standardized field and lab methods, we can compare results from different parts of the country and between years. EPA works with state, tribal and federal partners to design and implement the National Aquatic Resource Surveys.

23. Mammal Community DataBase (Thibault et al. 2011)¶

name: mammal-community-db
reference: https://figshare.com/articles/Data_Paper_Data_Paper/3552243
citation: Katherine M. Thibault, Sarah R. Supp, Mikaelle Giffin, Ethan P. White, and S. K. Morgan Ernest. 2011. Species composition and abundance of mammalian communities. Ecology 92:2316.
description: This data set includes species lists for 1000 mammal communities, excluding bats, with species-level abundances available for 940 of these communities.

24. GDP Data¶

name: gdp
reference: https://github.com/datasets/gdp/blob/master
citation: NA
description: Country, regional and world GDP in current US Dollars ($). Regional means collections of countries e.g. Europe & Central Asia. Data is sourced from the World Bank and turned into a standard normalized CSV.

25. Bird Body Size and Life History (Lislevand et al. 2007)¶

name: bird-size
reference: https://figshare.com/articles/Data_Paper_Data_Paper/3527864
citation: Terje Lislevand, Jordi Figuerola, and Tamas Szekely. 2007. Avian body sizes in relation to fecundity, mating system, display behavior, and resource sharing. Ecology 88:1605.
description: A comprehensive compilation of data set on avian body sizes that would be useful for future comparative studies of avian biology.

27. species data on densities and percent cover in the 60 experimental plots from 1996 to 2002¶

name: macroalgal-communities
reference: https://figshare.com/articles/Data_Paper_Data_Paper/3526004
citation: Peter S. Petraitis and Nicholas Vidargas. 2006. Marine intertidal organisms found in experimental clearings on sheltered shores in the Gulf of Maine, USA. Ecology 87:796.
description: Experimental clearings in macroalgal stands were established in 1996 to determine if mussel beds and macroalgal stands on protected intertidal shores of New England represent alternative community states

28. Partners_In_Flight_Species_Assessment_Data¶

name: partners-in-flight
reference: http://rmbo.org/pifassessment/Database.aspx
citation: Partners in Flight. 2017. Avian Conservation Assessment Database, version 2017. Available at http://pif.birdconservancy.org/ACAD. Accessed on 19.2.2018
description: The Partners in Flight (PIF) Species Assessment Database is now the Avian Conservation Assessment Database, Whereas the Species Assessment Database contained information only on landbirds in Canada, USA and Mexico, the Avian Conservation Assessment Database contains assessment data for all North American birds from Canada to Panama.

29. Cancer Rates Lake County¶

name: lake-county-illinois-cancer-rates
reference: https://catalog.data.gov/dataset/cancer-rates
citation
description: geospatial data of cancer rates in Lake County, Illinois

30. A stream gage database for evaluating natural and altered flow conditions in the conterminous United States.¶

name: streamflow-conditions
reference: https://figshare.com/articles/Data_Paper_Data_Paper/3544358
citation: James A. Falcone, Daren M. Carlisle, David M. Wolock, and Michael R. Meador. 2010. GAGES:A stream gage database for evaluating natural and altered flow conditions in the conterminous United States. Ecology 91:621.
description: streamflow in ecosystems

31. Michigan forest canopy dynamics plots - Woods et al. 2009¶

name: forest-plots-michigan
reference: forest-plots-michigan’s home link.
citation: Kerry D. Woods. 2009. Multi-decade, spatially explicit population studies of canopy dynamics in Michigan old-growth forests. Ecology 90:3587.
description: The data set provides stem infomation from a regular grid of 256 permanent plots includes about 20% of a 100-ha old-growth forest at the Dukes Research Natural Area in northern Michigan, USA.

32. Global Biotic Interactions (GloBI) data¶

name: globi-interaction
reference: https://github.com/jhpoelen/eol-globi-data/wiki
citation: Poelen, J.H., Simons, J.D. and Mungall, C.J., 2014. Global biotic interactions: an open infrastructure to share and analyze species-interaction datasets. Ecological Informatics, 24, pp.148-159.
description: GloBI contains code to normalize and integrate existing species-interaction datasets and export the resulting integrated interaction dataset.

33. Portal Project Data (Ernest et al. 2016)¶

name

portal-dev

reference

https://github.com/weecology/PortalData

citation

1. 1. Ernest, G. M. Yenni, G. Allington, E. M. Christensen, K. Geluso, J. R. Goheen, M. R. Schutzenhofer, S. R. Supp, K. M. Thibault, James H. Brown, and T. J. Valone. 2016. Long-term monitoring and experimental manipulation of a Chihuahuan desert ecosystem near Portal, Arizona (1977-2013). Ecology 97:1082.

description

The data set represents a Desert ecosystems using the composition and abundances of ants, plants, and rodents has occurred continuously on 24 plots.

34. Long term limnological measures in Acton Lake, database, 1992-2017¶

name: acton-lake
reference: acton-lake’s home link.
citation: Michael J Vanni, Maria J Gonzalez, and William H Renwick. 2019. Long term limnological measures in Acton Lake, a southwest Ohio reservoir, and its inflow streams: 1992-2017. Environmental Data Initiative.
description: Long-term data collected from Acton Lake and its inflow streams, on a suite of physical, chemical and biological variables investigating how Acton Lake, responds to changes in ecosystem subsidies of detritus (sediments) and nutrients.

35. The data was used to investigate patterns and causes of variation in NPP by the giant kelp, Macrocystis pyrifera, which is believed to be one of the fastest growing autotrophs on earth.¶

name: macrocystis-variation
reference: https://figshare.com/articles/Data_Paper_Data_Paper/3529700
citation: Andrew Rassweiler, Katie K. Arkema, Daniel C. Reed, Richard C. Zimmerman, and Mark A. Brzezinski. 2008. Net primary production, growth, and standing crop of Macrocystis pyrifera in southern California. Ecology 89:2068.
description

36. Wine Quality¶

name

wine-quality

reference

wine-quality’s home link.

citation

Cortez, A. Cerdeira, F. Almeida, T. Matos and J. Reis.

description

Two datasets are included, related to red and white vinho verde wine samples, from the north of Portugal. The goal is to model wine quality based on physicochemical tests

37. Sagebrush steppe mapped plant quadrats (Zachmann et al. 2010)¶

name: mapped-plant-quads-id
reference: https://figshare.com/articles/Data_Paper_Data_Paper/3550215
citation: Luke Zachmann, Corey Moffet, and Peter Adler. 2010. Mapped quadrats in sagebrush steppe:long-term data for analyzing demographic rates and plant-plant interactions. Ecology 91:3427.
description: This data set consists of 26 permanent 1-m2 quadrats located on sagebrush steppe in eastern Idaho, USA.

38. Shortgrass steppe mapped plants quads - Chu et al. 2013¶

name: mapped-plant-quads-co
reference: https://figshare.com/articles/Data_Paper_Data_Paper/3556779
citation: Cover, density, and demographics of shortgrass steppe plants mapped 1997-2010 in permanent grazed and ungrazed quadrats. Chengjin Chu, John Norman, Robert Flynn, Nicole Kaplan, William K. Lauenroth, and Peter B. Adler. Ecology 2013 94:6, 1435-1435.
description: This data set maps and analyzes demographic rates of many common plant species in the shortgrass steppe of North America under grazed and ungrazed conditions.

39. The LakeCat Dataset¶

name: lakecats-final-tables
reference: https://www.epa.gov/national-aquatic-resource-surveys/lakecat
citation: Hill, Ryan A., Marc H. Weber, Rick Debbout, Scott G. Leibowitz, Anthony R. Olsen. 2018. The Lake-Catchment (LakeCat) Dataset: characterizing landscape features for lake basins within the conterminous USA. Freshwater Science doi:10.1086/697966.
description: This current lakecat dataset has 136 local catchment (Cat) and 136 watershed (Ws) metrics making a total of 272 metrics.

40. Mammal Life History Database - Ernest, et al., 2003¶

name

mammal-life-hist

reference

mammal-life-hist’s home link.

citation

1. Morgan Ernest. 2003. Life history characteristics of placental non-volant mammals. Ecology 84:3402.

description

The purpose of this data set was to compile general life history characteristics for a variety of mammalian species to perform comparative life history analyses among different taxa and different body size groups.

41. Portal Project Data (Ernest et al. 2009)¶

name

portal

reference

https://figshare.com/articles/Data_Paper_Data_Paper/3531317

citation

1. Morgan Ernest, Thomas J. Valone, and James H. Brown. 2009. Long-term monitoring and experimental manipulation of a Chihuahuan Desert ecosystem near Portal, Arizona, USA. Ecology 90:1708.

description

The data set represents a Desert ecosystems using the composition and abundances of ants, plants, and rodents has occurred continuously on 24 plots. Currently includes only mammal data.

42. Long-term population dynamics of individually mapped Sonoran Desert winter annuals from the Desert Laboratory, Tucson AZ¶

name: sonoran-desert
reference: http://www.eebweb.arizona.edu/faculty/venable/LTREB/LTREB%20data.htm
citation
description: Long-term population dynamics of individually mapped Sonoran Desert winter annuals from the Desert Laboratory, Tucson AZ

43. Percentage leaf herbivory across vascular plant species¶

name: leaf-herbivory
reference: leaf-herbivory’s home link.
citation: Martin M. Turcotte, Christina J. M. Thomsen, Geoffrey T. Broadhead, Paul V. A. Fine, Ryan M. Godfrey, Greg P. A. Lamarre, Sebastian T. Meyer, Lora A. Richards, and Marc T. J. Johnson. 2014. Percentage leaf herbivory across vascular plant species. Ecology 95:788. http://dx.doi.org/10.1890/13-1741.1.
description: Spatially explicit measurements of population level leaf herbivory on 1145 species of vascular plants from 189 studies from across the globe.

44. Vascular plant composition - McGlinn, et al., 2010¶

name: plant-comp-ok
reference: https://figshare.com/articles/Data_Paper_Data_Paper/3547209
citation: Daniel J. McGlinn, Peter G. Earls, and Michael W. Palmer. 2010. A 12-year study on the scaling of vascular plant composition in an Oklahoma tallgrass prairie. Ecology 91:1872.
description: The data is part of a monitoring project on vascular plant composition at the Tallgrass Prairie Preserve in Osage County, Oklahoma, USA.

45. Wine Composition¶

name: wine-composition
reference: Exploration, Classification and Correlation. Institute of Pharmaceutical
citation: Forina, M. et al, PARVUS - An Extendible Package for Data
description: A chemical analysis of wines grown in the same region in Italy but derived from three different cultivators.

46. Miscellaneous Abundance Database (figshare 2012)¶

name: community-abundance-misc
reference: Not available
citation: Baldridge, Elita, A Data-intensive Assessment of the Species Abundance Distribution(2013). All Graduate Theses and Dissertations. Paper 4276.
description: Community abundance data for fish, reptiles, amphibians, beetles, spiders, and birds, compiled from the literature by Elita Baldridge.

47. BioTIME species identities and abundances¶

name: biotime
reference: https://zenodo.org/record/1095628#.WskN7dPwYyn
citation: Dornelas M, AntÃ£o LH, Moyes F, et al. BioTIME: A database of biodiversity time series for the Anthropocene. Global Ecology & Biogeography. 2018; 00:1 - 26. https://doi.org/10.1111/geb.12729.
description: The BioTIME database has species identities and abundances in ecological assemblages through time.

48. Dataset containing information on all airports on ouraiports.com¶

name: airports
reference: http://ourairports.com/data/
citation: OurAirports.com, Megginson Technologies Ltd.
description: Dataset containing information on all airports on ourairports.com

49. Antarctic Site Inventory breeding bird survey data, 1994-2013¶

name: antarctic-breed-bird
reference: antarctic-breed-bird’s home link.
citation: Heather J. Lynch, Ron Naveen, and Paula Casanovas. 2013. Antarctic Site Inventory breeding bird survey data, 1994-2013. Ecology 94:2653.
description: The data set represents the accumulation of 19 years of seabird population abundance data which was collected by the Antarctic Site Inventory, an opportunistic vessel-based monitoring program surveying the Antarctic Peninsula and associated sub-Antarctic Islands.

50. Croche understory vegetation data set¶

name: croche-vegetation-data
reference: https://figshare.com/articles/Data_Paper_Data_Paper/3528707
citation: Alain Paquette, Etienne Laliberté, André Bouchard, Sylvie de Blois, Pierre Legendre, and Jacques Brisson. 2007. Lac Croche understory vegetation data set (1998-2006). Ecology 88:3209.
description: The Lac Croche data set covers a nine-year period (1998-2006) of detailed understory vegetation sampling of a temperate North American forest located in the Station de Biologie des Laurentides (SBL), Québec, Canada.

51. Breed-Bird-Survey-nlcd Data¶

name: breed-bird-survey-nlcd
reference: https://figshare.com/articles/Data_Paper_Data_Paper/3554424
citation: Michael F. Small, Joseph A. Veech, and Jennifer L. R. Jensen. 2012. Local landscape composition and configuration around North American Breeding Bird Survey routes. Ecology 93:2298.
description: Landcover data for all North American Breeding Bird Survey routes from the 2006 National Land Cover Database at buffers from 200 m to 10 km..

52. Iris Plants Database¶

name

iris

reference

https://archive.ics.uci.edu/ml/datasets/iris

citation

1. Fisher. 1936. The Use of Multiple Measurements in Taxonomic Problems. and Asuncion, A. & Newman, D.J. (2007). UCI Machine Learning Repository [http://www.ics.uci.edu/~mlearn/MLRepository.html]. Irvine, CA: University of California, School of Information and Computer Science.

description

Famous dataset from R. A. Fisher. This dataset has been corrected. Information Source: Asuncion, A. & Newman, D.J. (2007). UCI Machine Learning Repository [http://www.ics.uci.edu/~mlearn/MLRepository.html]. Irvine, CA: University of California, School of Information and Computer Science.

53. Mount St. Helens vegetation recovery plots (del Moral 2010)¶

name: mt-st-helens-veg
reference: mt-st-helens-veg’s home link.
citation: Roger del Moral. 2010. Thirty years of permanent vegetation plots, Mount St. Helens, Washington. Ecology 91:2185.
description: Documenting vegetation recovery from volcanic disturbances using the most common species found in non-forested habitats on Mount St. Helens.

54. Nesting ecology and offspring recruitment in a long-lived turtle¶

name: turtle-offspring-nesting
reference: https://figshare.com/articles/Data_Paper_Data_Paper/3531323
citation: Lisa E. Schwanz, Rachel M. Bowden, Ricky-John Spencer, and Fredric J. Janzen. 2009. Nesting ecology and offspring recruitment in a long-lived turtle. Ecology 90:1709. [https://doi.org/10.6084/m9.figshare.3531323.v1]
description: Valuable empirical resource for exploring important facets of nesting ecology and hatchling recruitment in a wild population of a long-lived species.

55. ND-Gain¶

name: nd-gain
reference: http://index.gain.org/
citation: Chen, C., Noble, I., Hellmann, J., Coffee, J., Murillo, M. and Chawla, N., 2015. University of Notre Dame Global Adaptation Index Country Index Technical Report. ND-GAIN: South Bend, IN, USA.
description: The ND-GAIN Country Index summarizes a country’s vulnerability to climate change and other global challenges in combination with its readiness to improve resilience. It aims to help governments, businesses and communities better prioritize investments for a more efficient response to the immediate global challenges ahead.

56. Masses of Mammals (Smith et al. 2003)¶

name: mammal-masses
reference: https://figshare.com/articles/Data_Paper_Data_Paper/3523112
citation: Felisa A. Smith, S. Kathleen Lyons, S. K. Morgan Ernest, Kate E. Jones, Dawn M. Kaufman, Tamar Dayan, Pablo A. Marquet, James H. Brown, and John P. Haskell. 2003. Body mass of late Quaternary mammals. Ecology 84:3403.
description: A data set of compiled body mass information for all mammals on Earth.

57. MammalDIET¶

name: mammal-diet
reference: Not available
citation: Kissling WD, Dalby L, Flojgaard C, Lenoir J, Sandel B, Sandom C, Trojelsgaard K, Svenning J-C (2014) Establishing macroecological trait datasets:digitalization, extrapolation, and validation of diet preferences in terrestrial mammals worldwide. Ecology and Evolution, online in advance of print. doi:10.1002/ece3.1136
description: MammalDIET provides a comprehensive, unique and freely available dataset on diet preferences for all terrestrial mammals worldwide.

58. Prairie-forest ecotone of eastern Kansas/Foster Lab¶

name: prairie-forest
reference: https://foster.ku.edu/ltreb-datasets
citation: PI: Bryan L. Foster, University of Kansas, bfoster@ku.edu
description: Long-term studies of secondary succession and community assembly in the prairie-forest ecotone of eastern Kansas (NSF LTREB # 0950100)

59. Mapped plant quadrat time-series from Kansas (Adler et al. 2007)¶

name: mapped-plant-quads-ks
reference: https://figshare.com/articles/Data_Paper_Data_Paper/3528368
citation: Peter B. Adler, William R. Tyburczy, and William K. Lauenroth. 2007. Long-term mapped quadrats from Kansas prairie:demographic information for herbaceaous plants. Ecology 88:2673.
description: Demographic data for testing current theories in plant ecology and forecasting the effects of global change.

60. New York City TreesCount¶

name: nyc-tree-count
reference: https://www.nycgovparks.org/trees/treescount
citation: TreeCount 2015 is citizen science project of NYC Parks’[https://www.nycgovparks.org/trees/treescount].
description: Dataset consist of every street tree of New York City on the block

61. 3-D maps of tree canopy geometries at leaf scale¶

name: tree-canopy-geometries
reference: https://figshare.com/articles/Data_Paper_Data_Paper/3530507
citation: Hervé Sinoquet, Sylvain Pincebourde, Boris Adam, Nicolas Donès, Jessada Phattaralerphong, Didier Combes, Stéphane Ploquin, Krissada Sangsing, Poonpipope Kasemsap, Sornprach Thanisawanyangkura, Géraldine Groussier-Bout, and Jérôme Casas. 2009. 3-D maps of tree canopy geometries at leaf scale. Ecology 90:283
description: This data set reports the three-dimensional geometry of a set of fruit and rubber trees at the leaf scale

62. Spatial Population Data Alpine Butterfly - Matter et al 2014¶

name: butterfly-population-network
reference: butterfly-population-network’s home link.
citation: Matter, Stephen F., Nusha Keyghobadhi, and Jens Roland. 2014. Ten years of abundance data within a spatial population network of the alpine butterfly, Parnassius smintheus. Ecology 95:2985. Ecological Archives E095-258.
description: Stephen F. Matter, Nusha Keyghobadhi, and Jens Roland. 2014. Ten years of abundance data within a spatial population network of the alpine butterfly, Parnassius smintheus. Ecology 95:2985.

63. Fish parasite host ecological characteristics (Strona, et al., 2013)¶

name: fish-parasite-hosts
reference: https://figshare.com/articles/Data_Paper_Data_Paper/3555378
citation: Giovanni Strona, Maria Lourdes D. Palomares, Nicolas Bailly, Paolo Galli, and Kevin D. Lafferty. 2013. Host range, host ecology, and distribution of more than 11800 fish parasite species. Ecology 94:544.
description: The data set includes 38008 fish parasite records (for Acanthocephala, Cestoda, Monogenea, Nematoda, Trematoda) compiled from scientific literature.

64. Fray Jorge community ecology database (Kelt et al. 2013)¶

name

fray-jorge-ecology

reference

fray-jorge-ecology’s home link.

citation

1. Kelt, P. L. Meserve, J. R. Gutierrez, W. Bryan Milstead, and M. A. Previtali. 2013. Long-term monitoring of mammals in the face of biotic and abiotic influences at a semiarid site in north-central Chile. Ecology 94:977. http://dx.doi.org/10.1890/12-1811.1.

description

Long-term monitoring of small mammal and plant communities in the face of biotic and abiotic influences at a semiarid site in north-central Chile.

65. First-flowering dates of plants in the Northern Great Plains¶

name: ngreatplains-flowering-dates
reference: https://figshare.com/articles/Data_Paper_Data_Paper/3531716
citation: Steven E. Travers and Kelsey L. Dunnell. 2009. First-flowering dates of plants in the Northern Great Plains. Ecology 90:2332.
description: Observations data of first-flowering time of native and nonnative plant species in North Dakota and Minnesota over the course of 51 years in the last century

66. Mapped plant quadrat time-series from Montana (Anderson et al. 2011)¶

name: mapped-plant-quads-mt
reference: https://figshare.com/articles/Data_Paper_Data_Paper/3551799
citation: Jed Anderson, Lance Vermeire, and Peter B. Adler. 2011. Fourteen years of mapped, permanent quadrats in a northern mixed prairie, USA. Ecology 92:1703.
description: Long term plant quadrats of northern mixed prairie in Montana.

67. The ph_ownership_history dataset¶

name: harvard-forest
reference: http://harvardforest.fas.harvard.edu/
citation: Hall B. 2017. Historical GIS Data for Harvard Forest Properties from 1908 to Present. Harvard Forest Data Archive: HF110.
description: ph_ownership_history

68. BUPA liver disorders¶

name: bupa-liver-disorders
reference: https://archive.ics.uci.edu/ml/datasets/Liver+Disorders
citation: Richard S. Forsyth, 8 Grosvenor Avenue, Mapperley Park , Nottingham NG3 5DX, 0602-621676
description: The first 5 variables are all blood tests which are thought to be sensitive to liver disorders that might arise from excessive alcohol consumption. Each line in the dataset constitutes the record of a single male individual. The 7th field (selector) has been widely misinterpreted in the past as a dependent variable representing presence or absence of a liver disorder. This is incorrect. The 7th field was created by BUPA researchers as a train/test selector. It is not suitable as a dependent variable for classification. The dataset does not contain any variable representing presence or absence of a liver disorder.

69. Forest fire data for Montesinho natural park in Portugal¶

name

forest-fires-portugal

reference

http://archive.ics.uci.edu/ml/datasets/Forest+Fires

citation

Cortez and A. Morais. A Data Mining Approach to Predict Forest Fires using Meteorological Data. In J. Neves, M. F. Santos and J. Machado Eds., New Trends in Artificial Intelligence, Proceedings of the 13th EPIA 2007 - Portuguese Conference on Artificial Intelligence, December, Guimaraes, Portugal, pp. 512-523, 2007. APPIA, ISBN-13 978-989-95618-0-9.

description

A database for regression analysis with the aim of predicting burned areas of forestry using meteorological and other data.

70. Biovolumes for freshwater phytoplankton - Colin et al. 2014¶

name: phytoplankton-size
reference: https://figshare.com/articles/Data_Paper_Data_Paper/3560628
citation: Colin T. Kremer, Jacob P. Gillette, Lars G. Rudstam, Pal Brettum, and Robert Ptacnik. 2014. A compendium of cell and natural unit biovolumes for >1200 freshwater phytoplankton species. Ecology 95:2984.
description: Sampling phytoplankton communities basing on cell size.

71. Bioclim 2.5 Minute Climate Data¶

name: bioclim
reference: http://worldclim.org/bioclim
citation: Hijmans, R.J., S.E. Cameron, J.L. Parra, P.G. Jones and A. Jarvis, 2005. Very high resolution interpolated climate surfaces for global land areas. International Journal of Climatology 25: 1965-1978.
description: Bioclimatic variables that are derived from the monthly temperature and rainfall values in order to generate more biologically meaningful variables.

72. Body sizes of consumers and their resources¶

name: predator-prey-body-ratio
reference: https://figshare.com/articles/Data_Paper_Data_Paper/3525119
citation: Ulrich Brose, Lara Cushing, Eric L. Berlow, Tomas Jonsson, Carolin Banasek-Richter, Louis-Felix Bersier, Julia L. Blanchard, Thomas Brey, Stephen R. Carpenter, Marie-France Cattin Blandenier, Joel E. Cohen, Hassan Ali Dawah, Tony Dell, Francois Edwards, Sarah Harper-Smith, Ute Jacob, Roland A. Knapp, Mark E. Ledger, Jane Memmott, Katja Mintenbeck, John K. Pinnegar, Bjorn C. Rall, Tom Rayner, Liliane Ruess, Werner Ulrich, Philip Warren, Rich J. Williams, Guy Woodward, Peter Yodzis, and Neo D. Martinez10. 2005. Body sizes of consumers and their resources. Ecology 86:2545.
description: Body size ratios between predators and their prey,

73. Oosting Natural Area (North Carolina) plant occurrence (Palmer et al. 2007)¶

name: plant-occur-oosting
reference: https://figshare.com/articles/Data_Paper_Data_Paper/3528371
citation: Michael W. Palmer, Robert K. Peet, Rebecca A. Reed, Weimin Xi, and Peter S. White. 2007. A multiscale study of vascular plants in a North Carolina Piedmont forest. Ecology 88:2674.
description: A data set collected in 1989 of vascular plant occurrences in overlapping grids of nested plots in the Oosting Natural Area of the Duke Forest, Orange County, North Carolina, USA.

74. BAAD: a Biomass And Allometry Database for woody plants¶

name: biomass-allometry-db
reference: https://doi.org/10.6084/m9.figshare.c.3307692.v1
citation: Falster, D.S., Duursma, R.A., Ishihara, M.I., Barneche, D.R., FitzJohn, R.G., Varhammar, A., Aiba, M., Ando, M., Anten, N., Aspinwall, M.J. and Baltzer, J.L., 2015. BAAD: a Biomass And Allometry Database for woody plants.
description: The data set is a Biomass and allometry database (BAAD) for woody plants containing 259634 measurements collected in 176 different studies from 21084 individuals across 678 species.

75. USGS North American Breeding Bird Survey¶

name: breed-bird-survey
reference: http://www.pwrc.usgs.gov/BBS/
citation: Pardieck, K.L., D.J. Ziolkowski Jr., M.-A.R. Hudson. 2015. North American Breeding Bird Survey Dataset 1966 - 2014, version 2014.0. U.S. Geological Survey, Patuxent Wildlife Research Center
description: A Cooperative effort between the U.S. Geological Survey’s Patuxent Wildlife Research Center and Environment Canada’s Canadian Wildlife Service to monitor the status and trends of North American bird populations.

76. Vertnet Reptiles¶

name: vertnet-reptiles
reference: http://vertnet.org/resources/datatoolscode.html
citation: Bloom, D., Wieczorek J., Russell, L. (2016). VertNet_Reptilia_Sept. 2016. CyVerse Data Commons. http://datacommons.cyverse.org/browse/iplant/home/shared/commons_repo/curated/VertNet_Reptilia_Sep2016
description: Compilation of digitized museum records of reptiles including locations, dates of collection, and some trait data.

77. Tree growth, mortality, physical condition - Clark, 2006¶

name: la-selva-trees
reference: https://doi.org/10.6084/m9.figshare.c.3299324.v1
citation: David B. Clark and Deborah A. Clark. 2006. Tree growth, mortality, physical condition, and microsite in an old-growth lowland tropical rain forest. Ecology 87:2132.
description: The data set helps to examine the post-establishment ecology of 10 species of tropical wet forest trees selected to span a range of predicted life history patterns at the La Selva Biological Station in Costa Rica.

78. Commercial Fisheries Monthly Trade Data by Product, Country/Association¶

name: biotimesql
reference: https://zenodo.org/record/1095628#.WskN7dPwYyn
citation: Dornelas M, Antão LH, Moyes F, et al. BioTIME: A database of biodiversity time series for the Anthropocene. Global Ecology & Biogeography. 2018; 00:1 - 26. https://doi.org/10.1111/geb.12729.
description: The BioTIME database has species identities and abundances in ecological assemblages through time.

79. Gulf of Maine intertidal density/cover (Petraitis et al. 2008)¶

name: intertidal-abund-me
reference: intertidal-abund-me’s home link.
citation: Peter S. Petraitis, Harrison Liu, and Erika C. Rhile. 2008. Densities and cover data for intertidal organisms in the Gulf of Maine, USA, from 2003 to 2007. Ecology 89:588.
description: The data on densities and percent cover in the 60 experimental plots from 2003 to 2007 and to update data from 1996 to 2002 that are already published in Ecological Archives.Includes densities of mussels, herbivorous limpet, herbivorous snails, predatory snail, barnacle , fucoid algae and percent cover by mussels, barnacles, fucoids, and other sessile organisms.

80. Alwyn H. Gentry Forest Transect Dataset¶

name: gentry-forest-transects
reference: http://www.mobot.org/mobot/research/gentry/welcome.shtml
citation: Phillips, O. and Miller, J.S., 2002. Global patterns of plant diversity: Alwyn H. Gentry’s forest transect data set. Missouri Botanical Press.
description

81. A Southern Ocean dietary database¶

name: socean-diet-data
reference: https://figshare.com/articles/Full_Archive/3551304
citation: Ben Raymond, Michelle Marshall, Gabrielle Nevitt, Chris L. Gillies, John van den Hoff, Jonathan S. Stark, Marcel Losekoot, Eric J. Woehler, and Andrew J. Constable. 2011. A Southern Ocean dietary database. Ecology 92:1188.
description: Diet-related data from published and unpublished data sets and studies

82. Commercial Fisheries Monthly Trade Data by Product, Country/Association¶

name: fao-global-capture-product
reference: http://www.fao.org/fishery/statistics/global-capture-production/
citation: FAO. 2018. FAO yearbook. Fishery and Aquaculture Statistics 2016/FAO annuaire. Statistiques des pêches et de l’aquaculture 2016/FAO anuario. Estadísticas de pesca y acuicultura 2016. Rome/Roma. 104pp.
description: Commercial Fisheries statistics provides a summary of commercial fisheries product data by individual country.

83. Aquatic Animal Excretion¶

name: aquatic-animal-excretion
reference: http://onlinelibrary.wiley.com/doi/10.1002/ecy.1792/abstract
citation: Vanni, M. J., McIntyre, P. B., Allen, D., Arnott, D. L., Benstead, J. P., Berg, D. J., Brabrand, Å., Brosse, S., Bukaveckas, P. A., Caliman, A., Capps, K. A., Carneiro, L. S., Chadwick, N. E., Christian, A. D., Clarke, A., Conroy, J. D., Cross, W. F., Culver, D. A., Dalton, C. M., Devine, J. A., Domine, L. M., Evans-White, M. A., Faafeng, B. A., Flecker, A. S., Gido, K. B., Godinot, C., Guariento, R. D., Haertel-Borer, S., Hall, R. O., Henry, R., Herwig, B. R., Hicks, B. J., Higgins, K. A., Hood, J. M., Hopton, M. E., Ikeda, T., James, W. F., Jansen, H. M., Johnson, C. R., Koch, B. J., Lamberti, G. A., Lessard-Pilon, S., Maerz, J. C., Mather, M. E., McManamay, R. A., Milanovich, J. R., Morgan, D. K. J., Moslemi, J. M., Naddafi, R., Nilssen, J. P., Pagano, M., Pilati, A., Post, D. M., Roopin, M., Rugenski, A. T., Schaus, M. H., Shostell, J., Small, G. E., Solomon, C. T., Sterrett, S. C., Strand, O., Tarvainen, M., Taylor, J. M., Torres-Gerald, L. E., Turner, C. B., Urabe, J., Uye, S.-I., Ventelä, A.-M., Villeger, S., Whiles, M. R., Wilhelm, F. M., Wilson, H. F., Xenopoulos, M. A. and Zimmer, K. D. (2017), A global database of nitrogen and phosphorus excretion rates of aquatic animals. Ecology. Accepted Author Manuscript. doi:10.1002/ecy.1792
description: Dataset containing the nutrient cycling rates of individual animals.

84. Pantheria (Jones et al. 2009)¶

name: pantheria
reference: pantheria’s home link.
citation: Kate E. Jones, Jon Bielby, Marcel Cardillo, Susanne A. Fritz, Justin O’Dell, C. David L. Orme, Kamran Safi, Wes Sechrest, Elizabeth H. Boakes, Chris Carbone, Christina Connolly, Michael J. Cutts, Janine K. Foster, Richard Grenyer, Michael Habib, Christopher A. Plaster, Samantha A. Price, Elizabeth A. Rigby, Janna Rist, Amber Teacher, Olaf R. P. Bininda-Emonds, John L. Gittleman, Georgina M. Mace, and Andy Purvis. 2009. PanTHERIA:a species-level database of life history, ecology, and geography of extant and recently extinct mammals. Ecology 90:2648.
description: PanTHERIA is a data set of multispecies trait data from diverse literature sources and also includes spatial databases of mammalian geographic ranges and global climatic and anthropogenic variables.

85. vertnet:¶

name: vertnet
reference: http://vertnet.org/resources/datatoolscode.html
citation: Not currently available
description

86. Load US Census Boundary and Attribute Data as ‘tidyverse’ and ‘sf’-Ready Data Frames¶

name: tidycensus
reference: https://github.com/walkerke/tidycensus
citation
description: An integrated R interface to the decennial US Census and American Community Survey APIs andthe US Census Bureau’s geographic boundary files. Allows R users to return Census and ACS data astidyverse-ready data frames, and optionally returns a listcolumn with feature geometry for all Censusgeographies.

87. Global wood density database - Zanne et al. 2009¶

name: wood-density
reference: http://datadryad.org/resource/doi:10.5061/dryad.234
citation: Chave J, Coomes DA, Jansen S, Lewis SL, Swenson NG, Zanne AE (2009) Towards a worldwide wood economics spectrum. Ecology Letters 12(4): 351-366. http://dx.doi.org/10.1111/j.1461-0248.2009.01285.x and Zanne AE, Lopez-Gonzalez G, Coomes DA, Ilic J, Jansen S, Lewis SL, Miller RB, Swenson NG, Wiemann MC, Chave J (2009) Data from: Towards a worldwide wood economics spectrum. Dryad Digital Repository. http://dx.doi.org/10.5061/dryad.234
description: A collection and collation of data on the major wood functional traits, including the largest wood density database to date (8412 taxa), mechanical strength measures and anatomical features, as well as clade-specific features such as secondary chemistry.

88. Forest Inventory and Analysis¶

name: forest-inventory-analysis
reference: http://fia.fs.fed.us/
citation: DATEOFDOWNLOAD. Forest Inventory and Analysis Database, St. Paul, MN: U.S. Department of Agriculture, Forest Service, Northern Research Station. [Available only on internet: http://apps.fs.fed.us/fiadb-downloads/datamart.html]
description: WARNING: This dataset requires downloading many large files and will probably take several hours to finish installing.

89. USA National Phenology Network¶

name: npn
reference: http://www.usanpn.org/results/data
citation: Schwartz, M. D., Ault, T. R., & J. L. Betancourt, 2012: Spring Onset Variations and Trends in the Continental USA: Past and Regional Assessment Using Temperature-Based Indices. International Journal of Climatology (published online, DOI: 10.1002/joc.3625).
description: The data set was collected via Nature’s Notebook phenology observation program (2009-present), and (2) Lilac and honeysuckle data (1955-present)

90. USGS North American Breeding Bird Survey 50 stop¶

name: breed-bird-survey-50stop
reference: http://www.pwrc.usgs.gov/BBS/
citation: Pardieck, K.L., D.J. Ziolkowski Jr., M.-A.R. Hudson. 2015. North American Breeding Bird Survey Dataset 1966 - 2014, version 2014.0. U.S. Geological Survey, Patuxent Wildlife Research Center.
description: A Cooperative effort between the U.S. Geological Survey’s Patuxent Wildlife Research Center and Environment Canada’s Canadian Wildlife Service to monitor the status and trends of North American bird populations.

91. 3D Elevation Program (3DEP) high-quality U.S. Geological Survey topographic data¶

name: usgs-elevation
reference: https://pubs.er.usgs.gov/publication/fs20163022
citation: Lukas, Vicki, Stoker, J.M., 2016, 3D Elevation Program—Virtual USA in 3D: U.S. Geological Survey Fact Sheet 2016–3022, 1 p., http://dx.doi.org/10.3133/fs20163022.
description: The U.S. Geological Survey (USGS) 3D Elevation Program (3DEP) uses lidar to create a virtual reality maps.

92. Vertnet Amphibians¶

name: vertnet-amphibians
reference: http://vertnet.org/resources/datatoolscode.html
citation: Bloom, D., Wieczorek J., Russell, L. (2016). VertNet_Amphibia_Sept. 2016. CyVerse Data Commons. http://datacommons.cyverse.org/browse/iplant/home/shared/commons_repo/curated/VertNet_Amphibia_Sep2016
description: Compilation of digitized museum records of amphibians including locations, dates of collection, and some trait data.

93. Vertnet Mammals¶

name: vertnet-mammals
reference: http://vertnet.org/resources/datatoolscode.html
citation: Bloom, D., Wieczorek J., Russell, L. (2016). VertNet_Mammals_Sept. 2016. CyVerse Data Commons. http://datacommons.cyverse.org/browse/iplant/home/shared/commons_repo/curated/VertNet_Mammals_Sep2016
description: Compilation of digitized museum records of mammals including locations, dates of collection, and some trait data.

94. Marine Predator and Prey Body Sizes - Barnes et al. 2008¶

name

predator-prey-size-marine

reference

predator-prey-size-marine’s home link.

citation

Barnes, D. M. Bethea, R. D. Brodeur, J. Spitz, V. Ridoux, C. Pusineri, B. C. Chase, M. E. Hunsicker, F. Juanes, A. Kellermann, J. Lancaster, F. Menard, F.-X. Bard, P. Munk, J. K. Pinnegar, F. S. Scharf, R. A. Rountree, K. I. Stergiou, C. Sassa, A. Sabates, and S. Jennings. 2008. Predator and prey body sizes in marine food webs. Ecology 89:881.

description

The data set contains relationships between predator and prey size which are needed to describe interactions of species and size classes in food webs.

95. Commercial Fisheries Monthly Trade Data by Product, Country/Association¶

name: noaa-fisheries-trade
reference: noaa-fisheries-trade’s home link.
citation: No known Citation
description: Commercial Fisheries statistics provides a summary of commercial fisheries product data by individual country.

96. Indian Forest Stand Structure and Composition (Ramesh et al. 2010)¶

name

forest-plots-wghats

reference

forest-plots-wghats’s home link.

citation

1. Ramesh, M. H. Swaminath, Santoshgouda V. Patil, Dasappa, Raphael Pelissier, P. Dilip Venugopal, S. Aravajy, Claire Elouard, and S. Ramalingam. 2010. Forest stand structure and composition in 96 sites along environmental gradients in the central Western Ghats of India. Ecology 91:3118.

description

This data set reports woody plant species abundances in a network of 96 sampling sites spread across 22000 km2 in central Western Ghats region, Karnataka, India.

97. Food web including metazoan parasites for a brackish shallow water ecosystem in Germany and Denmark¶

name

flensburg-food-web

reference

https://figshare.com/articles/Full_Archive/3552066

citation

Dieter Zander, Neri Josten, Kim C. Detloff, Robert Poulin, John P. McLaughlin, and David W. Thieltges. 2011. Food web including metazoan parasites for a brackish shallow water ecosystem in Germany and Denmark. Ecology 92:2007.

description

This data is of a food web for the Flensburg Fjord, a brackish shallow water inlet on the Baltic Sea, between Germany and Denmark.

98. A database on the life history traits of the Northwest European flora¶

name: plant-life-hist-eu
reference: http://www.uni-oldenburg.de/en/biology/landeco/research/projects/leda/
citation: KLEYER, M., BEKKER, R.M., KNEVEL, I.C., BAKKER, J.P, THOMPSON, K., SONNENSCHEIN, M., POSCHLOD, P., VAN GROENENDAEL, J.M., KLIMES, L., KLIMESOVA, J., KLOTZ, S., RUSCH, G.M., HERMY, M., ADRIAENS, D., BOEDELTJE, G., BOSSUYT, B., DANNEMANN, A., ENDELS, P., GoeTZENBERGER, L., HODGSON, J.G., JACKEL, A-K., KueHN, I., KUNZMANN, D., OZINGA, W.A., RoeMERMANN, C., STADLER, M., SCHLEGELMILCH, J., STEENDAM, H.J., TACKENBERG, O., WILMANN, B., CORNELISSEN, J.H.C., ERIKSSON, O., GARNIER, E., PECO, B. (2008): The LEDA Traitbase: A database of life-history traits of Northwest European flora. Journal of Ecology 96: 1266-1274
description: The LEDA Traitbase provides information on plant traits that describe three key features of plant dynamics: persistence, regeneration and dispersal.

99. Vertnet Birds¶

name: vertnet-birds
reference: http://vertnet.org/resources/datatoolscode.html
citation: Bloom, D., Wieczorek J., Russell, L. (2016). VertNet_Aves_Sept. 2016. CyVerse Data Commons. http://datacommons.cyverse.org/browse/iplant/home/shared/commons_repo/curated/VertNet_Aves_Sep2016
description: Compilation of digitized museum records of birds including locations, dates of collection, and some trait data.

100. Tree demography in Western Ghats, India - Pelissier et al. 2011¶

name: tree-demog-wghats
reference: tree-demog-wghats’s home link.
citation: Raphael Pelissier, Jean-Pierre Pascal, N. Ayyappan, B. R. Ramesh, S. Aravajy, and S. R. Ramalingam. 2011. Twenty years tree demography in an undisturbed Dipterocarp permanent sample plot at Uppangala, Western Ghats of India. Ecology 92:1376.
description: A data set on demography of trees monitored over 20 years in Uppangala permanent sample plot (UPSP).

101. PRISM Climate Data¶

name: prism-climate
reference: http://prism.oregonstate.edu/
citation: Not currently available
description: The PRISM data set represents climate observations from a wide range of monitoring networks, applies sophisticated quality control measures, and develops spatial climate datasets to reveal short- and long-term climate patterns.

102. Mammal Super Tree¶

name: mammal-super-tree
reference: http://doi.org/10.1111/j.1461-0248.2009.01307.x
citation: Fritz, S. A., Bininda-Emonds, O. R. P. and Purvis, A. (2009), Geographical variation in predictors of mammalian extinction risk: big is bad, but only in the tropics. Ecology Letters, 12: 538-549. doi:10.1111/j.1461-0248.2009.01307.x
description: Mammal Super Tree from Fritz, S.A., O.R.P Bininda-Emonds, and A. Purvis. 2009. Geographical variation in predictors of mammalian extinction risk: big is bad, but only in the tropics. Ecology Letters 12:538-549

103. Vertnet Fishes¶

name: vertnet-fishes
reference: http://vertnet.org/resources/datatoolscode.html
citation: Bloom, D., Wieczorek J., Russell, L. (2016). VertNet_Fishes_Sept. 2016. CyVerse Data Commons. http://datacommons.cyverse.org/browse/iplant/home/shared/commons_repo/curated/VertNet_Fishes_Sep2016
description: Compilation of digitized museum records of fishes including locations, dates of collection, and some trait data.

104. PREDICTS Database¶

name: predicts
reference: http://data.nhm.ac.uk/dataset/902f084d-ce3f-429f-a6a5-23162c73fdf7
citation: Lawrence N Hudson; Tim Newbold; Sara Contu; Samantha L L Hill et al. (2016). Dataset: The 2016 release of the PREDICTS database. http://dx.doi.org/10.5519/0066354
description: A dataset of 3,250,404 measurements, collated from 26,114 sampling locations in 94 countries and representing 47,044 species.

105. Amniote life History database¶

name: amniote-life-hist
reference: amniote-life-hist’s home link.
citation: Myhrvold, N.P., Baldridge, E., Chan, B., Sivam, D., Freeman, D.L. and Ernest, S.M., 2015. An amniote life-history database to perform comparative analyses with birds, mammals, and reptiles:Ecological Archives E096-269. Ecology, 96(11), pp.3109-000.
description: Compilation of life history traits for birds, mammals, and reptiles.

106. Fia georgia, GA¶

name: fia-georgia
reference: https://www.fia.fs.fed.us/
citation: June 20, 2019. Forest Inventory and Analysis Database, St. Paul, MN: U.S. Department of Agriculture, Forest Service, Northern Research Station
description: The Forest Inventory and Analysis (FIA) Program of the U.S.

107. Fia vermont, VT¶

name: fia-vermont
reference: https://www.fia.fs.fed.us/
citation: June 20, 2019. Forest Inventory and Analysis Database, St. Paul, MN: U.S. Department of Agriculture, Forest Service, Northern Research Station
description: The Forest Inventory and Analysis (FIA) Program of the U.S.

108. The US Forest Service, Forest Health Monitoring, Pennsylvania¶

name: forest-health-monitoring-pennsylvania
reference: https://www.fia.fs.fed.us/tools-data/other_data/index.php
citation
description: The USDA Forest Service, Forest Health Monitoring (FHM) is a national program designed to determine the status, changes, and trends in indicators of forest condition on an annual basis.

109. Virgin Islands National Park: Population Dynamics of Octocorals¶

name: virgin-islands-coral-octocorals-count
reference: http://coralreefs.csun.edu/data/data-catalogue/
citation: Edmunds, P.J., Tsounis, G. & Lasker, H.R. Hydrobiologia (2016) 767: 347. https://doi.org/10.1007/s10750-015-2555-z
description: These data describe coral reef community structure by density based on the analysis of color photographs along the south coast of St. John from as early as 1987, http://coralreefs.csun.edu/legal/use-policy/

110. Portal Project Teaching¶

name: portal-project-teaching
reference: https://figshare.com/articles/Portal_Project_Teaching_Database/1314459
citation
description: The Portal Project Teaching Database is a simplified version of the Portal Project Database designed for teaching

111. USDA Global Branded Food Products Database (Branded Foods)¶

name: usda-mafcl-fooddatacenteral-brandedfoods
reference: usda-mafcl-fooddatacenteral-brandedfoods’s home link.
citation: U.S. Department of Agriculture, Agricultural Research Service. FoodData Central, 2019. fdc.nal.usda.gov
description: The data is compiled from public-private partnership that provides values for nutrients in branded and private label foods that appear on the product label

112. Fia maine, ME¶

name: fia-maine
reference: https://www.fia.fs.fed.us/
citation: June 20, 2019. Forest Inventory and Analysis Database, St. Paul, MN: U.S. Department of Agriculture, Forest Service, Northern Research Station
description: The Forest Inventory and Analysis (FIA) Program of the U.S.

113. The North Carolina Piedmont Forest LTREB Project, Seedling and Sapling Plots¶

name: north-carolina-piedmont_seedlng_sampling
reference: http://labs.bio.unc.edu/Peet/PEL/df.htm
citation
description: The data shows the Seedling and Sapling Plots information from North Carolina Piedmont Forest LTREB Project

114. Fia american-samoa, AS¶

name: fia-american-samoa
reference: https://www.fia.fs.fed.us/
citation: June 20, 2019. Forest Inventory and Analysis Database, St. Paul, MN: U.S. Department of Agriculture, Forest Service, Northern Research Station
description: The Forest Inventory and Analysis (FIA) Program of the U.S.

115. Rainfall in India¶

name: rainfall-in-india
reference: https://data.gov.in/resources/sub-divisional-monthly-rainfall-1901-2017
citation: India Meteorological Department (IMD)
description: Month wise all India rainfall data from 1901-2017. The sub-division wise rainfall and its departure from normal for each month and season has been provided in the data.

116. British Columbia Detailed Soil Survey¶

name: british-columbia-detailed-soil-survey
reference: https://open.canada.ca/data/en/dataset/adf4d26a-9fc0-44c9-ba38-620531ca0dbe
citation
description: The British Columbia Detailed Soil Survey dataset series at a scale of 1:100 000 consists of geo-referenced soil polygons with linkages to attribute data found in the associated Component File (CMP), Soil Names File (SNF) and Soil Layer File (SLF).

117. The US Forest Service, Forest Health Monitoring, California¶

name: forest-health-monitoring-california
reference: https://www.fia.fs.fed.us/tools-data/other_data/index.php
citation
description: The USDA Forest Service, Forest Health Monitoring (FHM) is a national program designed to determine the status, changes, and trends in indicators of forest condition on an annual basis.

118. Fia minnesota, MN¶

name: fia-minnesota
reference: https://www.fia.fs.fed.us/
citation: June 20, 2019. Forest Inventory and Analysis Database, St. Paul, MN: U.S. Department of Agriculture, Forest Service, Northern Research Station
description: The Forest Inventory and Analysis (FIA) Program of the U.S.

119. Ontario Detailed Soil Survey¶

name: ontario-detailed-soil-survey
reference: https://open.canada.ca/data/en/dataset/a75c3d6c-354d-436d-999d-431fb3a9de79
citation
description: The Ontario Detailed Soil Survey dataset series is at a scale of 1: 50 000 and consists of geo-referenced soil polygons with linkages to attribute data found in the associated Component File (CMP), Soil Names File (SNF) and Soil Layer File (SLF).

120. The Global Root Trait, GRooT Database¶

name: groot
reference: https://github.com/GRooT-Database/GRooT-Data
citation: Guerrero-Ramirez N, Mommer L, Freschet GT, Iversen CM, McCormack M.L, Kattge J, Poorter H, van der Plas F, Bergmann J, Kuyper TW, York LM, Bruelheide H, Laughlin DC, Meier IC, Roumet C, Semchenko M, Sweeney CJ, van Ruijven J, Valverde-Barrantes OJ, Aubin I, Catford JA, Manning P, Martin A, Milla R, Minden V, Pausas JG, Smith SW, Soudzilovskaia NA, Ammer C, Butterfield B, Craine J, Cornelissen JHC, de Vries FT, Isaac ME, Kramer K, KÃ¶nig C, Lamb EG, Onipchenko VG, PeÃ±uelas J, Reich PB, Rillig MC, Sack L, Shipley B, Tedersoo L, Valladares F, van Bodegom P, Weigelt P, Wright JP, Weigelt A. 2020. Global Root Traits (GRooT) Database. Global Ecology and Biogeography. doi.org/10.1111/geb.13179
description: The GRooT database contains about 114,222 trait records on 38 continuous root traits.

121. Virgin Islands National Park: Coral Reef: Decadal-scale changes in community structure from 1987 to 2011¶

name: virgin-islands-coral-decadal-scale
reference: http://coralreefs.csun.edu/data/data-catalogue/
citation: Edmunds PJ (2013) Decadal-scale changes in the community structure of coral reefs of St. John, US Virgin Islands. Mar Ecol Prog Ser 489:107-123. https://doi.org/10.3354/meps10424
description: Long-term Coral Reef Community Dynamics, Coral Time-Series Data from St John and St Thomas Islands, http://coralreefs.csun.edu/legal/use-policy/

122. Credit Card Fraud Detection Dataset¶

name: credit-card-fraud
reference: https://www.kaggle.com/mlg-ulb/creditcardfraud
citation
description: Anonymized credit card transactions labeled as fraudulent or genuine

123. Fia us-virgin-islands, VI¶

name: fia-us-virgin-islands
reference: https://www.fia.fs.fed.us/
citation: June 20, 2019. Forest Inventory and Analysis Database, St. Paul, MN: U.S. Department of Agriculture, Forest Service, Northern Research Station
description: The Forest Inventory and Analysis (FIA) Program of the U.S.

124. COVID-19 in Italy¶

name: coronavirus-italy
reference: https://www.kaggle.com/sudalairajkumar/covid19-in-italy
citation
description: Coronavirus Disease 2019 cases in Italy

125. Third-order and Upper watershed White Clay Creek and Boulton Run â Climate, Stable Isotopes, Stream Water Chemistry,Precipitation Stable Isotopes (2011-2012)¶

name: white-clay-creek-boulton-chemistry
reference: https://www.hydroshare.org/resource/ff7435cd22d94914ad3a674c40b229e9/
citation: Karwan, D., O. Lazareva, A. Aufdenkampe (2018). Third-order White Clay Creek and Boulton Run - Climate, Stable Isotopes, Stream Water Chemistry (2011-2012), HydroShare, https://doi.org/10.4211/hs.ff7435cd22d94914ad3a674c40b229e9
description: Deuterium and Oxygen-18 measured on stream water samples collected during baseflow, stormflow conditions, time-integrated and bulk precipitation

126. The US Forest Service, Forest Health Monitoring, Washington¶

name: forest-health-monitoring-washington
reference: https://www.fia.fs.fed.us/tools-data/other_data/index.php
citation
description: The USDA Forest Service, Forest Health Monitoring (FHM) is a national program designed to determine the status, changes, and trends in indicators of forest condition on an annual basis.

127. Fia new-mexico, NM¶

name: fia-new-mexico
reference: https://www.fia.fs.fed.us/
citation: June 20, 2019. Forest Inventory and Analysis Database, St. Paul, MN: U.S. Department of Agriculture, Forest Service, Northern Research Station
description: The Forest Inventory and Analysis (FIA) Program of the U.S.

128. Fia massachusetts, MA¶

name: fia-massachusetts
reference: https://www.fia.fs.fed.us/
citation: June 20, 2019. Forest Inventory and Analysis Database, St. Paul, MN: U.S. Department of Agriculture, Forest Service, Northern Research Station
description: The Forest Inventory and Analysis (FIA) Program of the U.S.

129. County Emergency Management Offices New York¶

name: county-emergency-management-offices
reference: https://catalog.data.gov/dataset/county-emergency-management-offices
citation
description: Dataset lists all contacts for Emergency Management Offices within NYS

130. Fia northern-mariana-islands, MP¶

name: fia-northern-mariana-islands
reference: https://www.fia.fs.fed.us/
citation: June 20, 2019. Forest Inventory and Analysis Database, St. Paul, MN: U.S. Department of Agriculture, Forest Service, Northern Research Station
description: The Forest Inventory and Analysis (FIA) Program of the U.S.

131. The US Forest Service, Forest Health Monitoring, Delaware¶

name: forest-health-monitoring-delaware
reference: https://www.fia.fs.fed.us/tools-data/other_data/index.php
citation
description: The USDA Forest Service, Forest Health Monitoring (FHM) is a national program designed to determine the status, changes, and trends in indicators of forest condition on an annual basis.

132. Fia montana, MT¶

name: fia-montana
reference: https://www.fia.fs.fed.us/
citation: June 20, 2019. Forest Inventory and Analysis Database, St. Paul, MN: U.S. Department of Agriculture, Forest Service, Northern Research Station
description: The Forest Inventory and Analysis (FIA) Program of the U.S.

133. fill¶

name: nlcd-urban-imperviousness-puerto-rico
reference: fill
citation: fill
description: pr_masked_imperv_10-25-08.img

134. Fernow experimental Forest in central Appalachia. LTREB WS 4 Biomass¶

name: fernow-biomass
reference: http://www.as.wvu.edu/fernow/data.html
citation: Tajchman, S.J., H. Fu, J.N. Kochenderfer, and C. Pan. 1995. Spatial characteristics of topography, energy exchange, and forest cover in a central Appalachian watershed. Proceedings, 10th Central Hardwood Forest Conference. USDA Forest Service Northeast Forest Experimental Station General Technical Report NE-197.
description: Fernow experimental Forest in central Appalachia. LTREB WS 4 Biomass, See Data policy

135. Fia north-carolina, NC¶

name: fia-north-carolina
reference: https://www.fia.fs.fed.us/
citation: June 20, 2019. Forest Inventory and Analysis Database, St. Paul, MN: U.S. Department of Agriculture, Forest Service, Northern Research Station
description: The Forest Inventory and Analysis (FIA) Program of the U.S.

136. Fia utah, UT¶

name: fia-utah
reference: https://www.fia.fs.fed.us/
citation: June 20, 2019. Forest Inventory and Analysis Database, St. Paul, MN: U.S. Department of Agriculture, Forest Service, Northern Research Station
description: The Forest Inventory and Analysis (FIA) Program of the U.S.

137. Fia nevada, NV¶

name: fia-nevada
reference: https://www.fia.fs.fed.us/
citation: June 20, 2019. Forest Inventory and Analysis Database, St. Paul, MN: U.S. Department of Agriculture, Forest Service, Northern Research Station
description: The Forest Inventory and Analysis (FIA) Program of the U.S.

138. The US Forest Service, Forest Health Monitoring, Michigan¶

name: forest-health-monitoring-michigan
reference: https://www.fia.fs.fed.us/tools-data/other_data/index.php
citation
description: The USDA Forest Service, Forest Health Monitoring (FHM) is a national program designed to determine the status, changes, and trends in indicators of forest condition on an annual basis.

139. fill¶

name: nlcd-urban-imperviousness-alaska
reference: fill
citation: fill
description: NLCD_2011_Urban_Descriptor_AK_20200724.img

140. COVID-19 Case Surveillance Public Use Data with Geography¶

name: covid-case-surveillance
reference: https://dev.socrata.com/foundry/data.cdc.gov/n8mc-b4w4
citation
description: This case surveillance public use dataset has 19 elements for all COVID-19 cases shared with CDC and includes demographics, geography (county and state of residence), any exposure history, disease severity indicators and outcomes, and presence of any underlying medical conditions and risk behaviors.

141. Fia louisiana, LA¶

name: fia-louisiana
reference: https://www.fia.fs.fed.us/
citation: June 20, 2019. Forest Inventory and Analysis Database, St. Paul, MN: U.S. Department of Agriculture, Forest Service, Northern Research Station
description: The Forest Inventory and Analysis (FIA) Program of the U.S.

142. The US Forest Service, Forest Health Monitoring, Wisconsin¶

name: forest-health-monitoring-wisconsin
reference: https://www.fia.fs.fed.us/tools-data/other_data/index.php
citation
description: The USDA Forest Service, Forest Health Monitoring (FHM) is a national program designed to determine the status, changes, and trends in indicators of forest condition on an annual basis.

143. Fia colorado, CO¶

name: fia-colorado
reference: https://www.fia.fs.fed.us/
citation: June 20, 2019. Forest Inventory and Analysis Database, St. Paul, MN: U.S. Department of Agriculture, Forest Service, Northern Research Station
description: The Forest Inventory and Analysis (FIA) Program of the U.S.

144. Sycamore Creek macroinvertebrate collections after flooding event¶

name: sycamore-creek-macroinvertebrate
reference: https://sustainability.asu.edu/caplter/data/view/knb-lter-cap.375.8/
citation
description: This data shows how long-term climate variability influences the structure and function of desert streams

145. Fia arkansas, AR¶

name: fia-arkansas
reference: https://www.fia.fs.fed.us/
citation: June 20, 2019. Forest Inventory and Analysis Database, St. Paul, MN: U.S. Department of Agriculture, Forest Service, Northern Research Station
description: The Forest Inventory and Analysis (FIA) Program of the U.S.

146. Virgin islands coral taxonomy¶

name: virgin-islands-coral-taxonomy
reference: http://coralreefs.csun.edu/data/data-catalogue/
citation: N/A
description: Coral Time-Series Data from St John and St Thomas Islands, http://coralreefs.csun.edu/legal/use-policy/

147. Fia iowa, IA¶

name: fia-iowa
reference: https://www.fia.fs.fed.us/
citation: June 20, 2019. Forest Inventory and Analysis Database, St. Paul, MN: U.S. Department of Agriculture, Forest Service, Northern Research Station
description: The Forest Inventory and Analysis (FIA) Program of the U.S.

148. Fia kansas, KS¶

name: fia-kansas
reference: https://www.fia.fs.fed.us/
citation: June 20, 2019. Forest Inventory and Analysis Database, St. Paul, MN: U.S. Department of Agriculture, Forest Service, Northern Research Station
description: The Forest Inventory and Analysis (FIA) Program of the U.S.

149. The USA Final Fire Perimeter dataset, National USFS Final Fire Perimeter¶

name: national-usfs-finalfire-perimeter
reference: https://data.fs.usda.gov/geodata/edw/datasets.php
citation: United States Department of Agriculture - Forest Service. 20210415. National USFS Final Fire Perimeter: S_USA.FinalFirePerimeter. https://data.fs.usda.gov/geodata/edw/edw_resources/meta/S_USA.FinalFirePerimeter.xml.
description: The FinalFirePerimeter polygon layer represents final mapped wildland fire perimeters

150. WorldClim [Bioclimatic] variables for WorldClim version 2¶

name: worldclim-twofive
reference: http://worldclim.org/version2
citation: Fick, S.E. and R.J. Hijmans, 2017. Worldclim 2: New 1-km spatial resolution climate surfaces for global land areas. International Journal of Climatology.
description: WorldClim variables at 2.5 minutes, minimum temperature (°C), maximum temperature (°C), precipitation (mm), solar radiation (kJ m-2 day-1), wind speed (m s-1), water vapor pressure (kPa), Bioclimatic variables

151. Fia oklahoma, OK¶

name: fia-oklahoma
reference: https://www.fia.fs.fed.us/
citation: June 20, 2019. Forest Inventory and Analysis Database, St. Paul, MN: U.S. Department of Agriculture, Forest Service, Northern Research Station
description: The Forest Inventory and Analysis (FIA) Program of the U.S.

152. Dietary Supplement Ingredient Database (DSID-4),¶

name: usda-dietary-supplement-ingredient-data
reference: https://dietarysupplementdatabase.usda.nih.gov/Data_Files.php
citation: US Department of Agriculture, Agricultural Research Service, Nutrient Data Laboratory and US Department of Health and Human Services, National Institutes of Health, Office of Dietary Supplements. Dietary Supplement Ingredient Database (DSID) release 4.0, August 2017. Available from: https://dsid.usda.nih.gov
description: This is the fourth release of the Dietary Supplement Ingredient Database (DSID-4) which reports national estimates for ingredient levels in dietary supplements (DS), based on chemical analysis

153. Fernow Experimental Forest daily streamflow¶

name: fernow-forest-streamflow
reference: https://www.fs.usda.gov/rds/archive/catalog/RDS-2011-0015
citation: Edwards, Pamela J.; Wood, Frederica. 2011. Fernow Experimental Forest daily streamflow. Newtown Square, PA: U.S. Department of Agriculture, Forest Service, Northern Research Station. Data publication updated 17 August 2017. https://doi.org/10.2737/RDS-2011-0015
description: The data contains daily streamflow for nine watersheds on the Fernow Experimental Forest from 1951 to 2015.

154. Fia rhode-island, RI¶

name: fia-rhode-island
reference: https://www.fia.fs.fed.us/
citation: June 20, 2019. Forest Inventory and Analysis Database, St. Paul, MN: U.S. Department of Agriculture, Forest Service, Northern Research Station
description: The Forest Inventory and Analysis (FIA) Program of the U.S.

155. Nuclear Power Plants Database¶

name: nuclear-power-plants
reference: https://github.com/cristianst85/GeoNuclearData
citation
description: Database with information about Nuclear Power Plants worldwide

156. Stroud Water Research Center - Precipitation, Meteorology (1996-2010)¶

name: white-clay-creek-swrc-meteorology
reference: white-clay-creek-swrc-meteorology’s home link.
citation: Tsang, Y.-P., Hourly Precipitation at Stroud Water Research Center 1996-2010
description: Meteorological data collected at Stroud Water Research Center

157. Foreign Exchange rates for 2000 to 2019¶

name: foreign-exchange-rates-2000-2019
reference: https://www.kaggle.com/brunotly/foreign-exchange-rates-per-dollar-20002019
citation
description: Federal Reserve’s time serie of foreign exchange rates per dollar from 2000 to 2019

158. Virgin Islands National Park: Coral Reef: Physical Measurements¶

name: virgin-islands-coral-physical-measurements
reference: http://coralreefs.csun.edu/data/data-catalogue/
citation: Edmunds P. 2019. Virgin Islands National Park: Coral Reef: Physical Measurements. Environmental Data Initiative. https://doi.org/10.6073/pasta/f68ca3604ca632eabcd31712ca0cd622. Dataset accessed 10/10/2019.
description: Virgin Islands National Park Coral Reef Physical measurements, Coral Time-Series Data from St John and St Thomas Islands, http://coralreefs.csun.edu/legal/use-policy/

159. The US Forest Service, Forest Health Monitoring, Minnesota¶

name: forest-health-monitoring-minnesota
reference: https://www.fia.fs.fed.us/tools-data/other_data/index.php
citation
description: The USDA Forest Service, Forest Health Monitoring (FHM) is a national program designed to determine the status, changes, and trends in indicators of forest condition on an annual basis.

160. Prince Edward Island Detailed Soil Survey¶

name: prince-edward-island-detailed-soil-survey
reference: https://open.canada.ca/data/en/dataset/3adcf032-7fdb-4301-8d8e-ebf0e0f06e68
citation
description: The Prince Edward Island Detailed Soil Survey is a dataset series describing the spatial distribution of soils and associated landscapes in the Canadian province of Prince Edward Island.

161. The US Forest Service, Forest Health Monitoring, Maine¶

name: forest-health-monitoring-maine
reference: https://www.fia.fs.fed.us/tools-data/other_data/index.php
citation
description: The USDA Forest Service, Forest Health Monitoring (FHM) is a national program designed to determine the status, changes, and trends in indicators of forest condition on an annual basis.

162. The US Forest Service, Forest Health Monitoring, Missouri¶

name: forest-health-monitoring-missouri
reference: https://www.fia.fs.fed.us/tools-data/other_data/index.php
citation
description: The USDA Forest Service, Forest Health Monitoring (FHM) is a national program designed to determine the status, changes, and trends in indicators of forest condition on an annual basis.

163. Titanic: Machine Learning from Disaster¶

name: titanic
reference: https://www.kaggle.com/c/titanic
citation
description: Titanic passenger data use to predict survival on the Titanic

164. Fia north-dakota, ND¶

name: fia-north-dakota
reference: https://www.fia.fs.fed.us/
citation: June 20, 2019. Forest Inventory and Analysis Database, St. Paul, MN: U.S. Department of Agriculture, Forest Service, Northern Research Station
description: The Forest Inventory and Analysis (FIA) Program of the U.S.

165. The US Forest Service, Forest Health Monitoring, Vermont¶

name: forest-health-monitoring-vermont
reference: https://www.fia.fs.fed.us/tools-data/other_data/index.php
citation
description: The USDA Forest Service, Forest Health Monitoring (FHM) is a national program designed to determine the status, changes, and trends in indicators of forest condition on an annual basis.

166. fill¶

name: nlcd-imperviousness-conus
reference: fill
citation
description: NLCD imperviousness products. Default bounding box is [xmin,ymax,xmax,ymin][-110,50,-100,30]

167. Fernow Experimental Forest precipitation chemistry¶

name: fernow-precipitation-chemistry
reference: https://www.fs.usda.gov/rds/archive/catalog/RDS-2011-0016
citation: Edwards, Pamela J.; Wood, Frederica. 2011. Fernow Experimental Forest precipitation chemistry. Newtown Square, PA: U.S. Department of Agriculture, Forest Service, Northern Research Station. Data publication updated 17 August 2017. https://doi.org/10.2737/RDS-2011-0016
description: The data publication contains weekly precipitation chemistry from two weather stations on the Fernow Experimental Forest from 1983 to 2015

168. Fia virginia, VA¶

name: fia-virginia
reference: https://www.fia.fs.fed.us/
citation: June 20, 2019. Forest Inventory and Analysis Database, St. Paul, MN: U.S. Department of Agriculture, Forest Service, Northern Research Station
description: The Forest Inventory and Analysis (FIA) Program of the U.S.

169. Fia tennessee, TN¶

name: fia-tennessee
reference: https://www.fia.fs.fed.us/
citation: June 20, 2019. Forest Inventory and Analysis Database, St. Paul, MN: U.S. Department of Agriculture, Forest Service, Northern Research Station
description: The Forest Inventory and Analysis (FIA) Program of the U.S.

170. The US Forest Service, Forest Health Monitoring, Alabama¶

name: forest-health-monitoring-alabama
reference: https://www.fia.fs.fed.us/tools-data/other_data/index.php
citation
description: The USDA Forest Service, Forest Health Monitoring (FHM) is a national program designed to determine the status, changes, and trends in indicators of forest condition on an annual basis.

171. Fia mississippi, MS¶

name: fia-mississippi
reference: https://www.fia.fs.fed.us/
citation: June 20, 2019. Forest Inventory and Analysis Database, St. Paul, MN: U.S. Department of Agriculture, Forest Service, Northern Research Station
description: The Forest Inventory and Analysis (FIA) Program of the U.S.

172. Fia florida, FL¶

name: fia-florida
reference: https://www.fia.fs.fed.us/
citation: June 20, 2019. Forest Inventory and Analysis Database, St. Paul, MN: U.S. Department of Agriculture, Forest Service, Northern Research Station
description: The Forest Inventory and Analysis (FIA) Program of the U.S.

173. Maizuru Bay fish community¶

name: ushio-maizuru-fish-community
reference: https://github.com/ong8181/dynamic-stability
citation: Ushio M, Hsieh CH, Masuda R, Deyle RE, Ye H, Chang CW, Sugihara G, Kondoh M (2018) Fluctuating interaction entwork and time-varying stability of a natural fish community Nature 554 (7692): 360–363 doi:101038/nature25504
description: Fluctuating interaction network and time-varying stability of a natural fish community

174. Fia wisconsin, WI¶

name: fia-wisconsin
reference: https://www.fia.fs.fed.us/
citation: June 20, 2019. Forest Inventory and Analysis Database, St. Paul, MN: U.S. Department of Agriculture, Forest Service, Northern Research Station
description: The Forest Inventory and Analysis (FIA) Program of the U.S.

175. Food and Nutrient Database for Dietary Studies 2013-2014 (FNDDS 2013-2014)¶

name: usda-mafcl-fooddatacenteral-fndds
reference: usda-mafcl-fooddatacenteral-fndds’s home link.
citation: U.S. Department of Agriculture, Agricultural Research Service. FoodData Central, 2019. fdc.nal.usda.gov
description: The data shows the nutrient and food component values and weights for foods and beverages reported in America dietary survey component of the National Health and Nutrition Examination Survey

176. Fia idaho, ID¶

name: fia-idaho
reference: https://www.fia.fs.fed.us/
citation: June 20, 2019. Forest Inventory and Analysis Database, St. Paul, MN: U.S. Department of Agriculture, Forest Service, Northern Research Station
description: The Forest Inventory and Analysis (FIA) Program of the U.S.

177. Fia puerto-rico, PR¶

name: fia-puerto-rico
reference: https://www.fia.fs.fed.us/
citation: June 20, 2019. Forest Inventory and Analysis Database, St. Paul, MN: U.S. Department of Agriculture, Forest Service, Northern Research Station
description: The Forest Inventory and Analysis (FIA) Program of the U.S.

178. PA Avondale 2N - Soil Moisture, Soil Temperature - NOAA CRN (2011-2015)¶

name: white-clay-creek-avondale-soil
reference: white-clay-creek-avondale-soil’s home link.
citation: Bell, J.E., M.A. Palecki, C.B. Baker, W.G. Collins, J.H. Lawrimore, R.D. Leeper, M.E. Hall, J. Kochendorfer, T.P. Meyers, T. Wilson, and H.J. Diamond. 2013: U.S. Climate Reference Network Soil Moisture and Temperature Observations. J. Hydrometeorol., doi: 10.1175/JHM-D-12-0146.1. See http://www.ncdc.noaa.gov/crn/publications.html.
description: The U.S. Climate Reference Network (USCRN) developed by the National Oceanic and Atmospheric Administration (NOAA) provide future long-term homogeneous temperature and precipitation observations that can be coupled to long-term historical observations for the detection and attribution of present and future climate change.

179. White Clay Creek – Well Water Levels (1988-2012)¶

name: white-clay-creek-waterlevels
reference: https://czo.stroudcenter.org/data/white-clay-creek-well-water-levels-1988-2012/
citation: Well Water Level data collected by Stroud Water Research Center
description: Well Water Level data collected by Stroud Water Research Center

180. Fia guam, GU¶

name: fia-guam
reference: https://www.fia.fs.fed.us/
citation: June 20, 2019. Forest Inventory and Analysis Database, St. Paul, MN: U.S. Department of Agriculture, Forest Service, Northern Research Station
description: The Forest Inventory and Analysis (FIA) Program of the U.S.

181. Fia palau, PW¶

name: fia-palau
reference: https://www.fia.fs.fed.us/
citation: June 20, 2019. Forest Inventory and Analysis Database, St. Paul, MN: U.S. Department of Agriculture, Forest Service, Northern Research Station
description: The Forest Inventory and Analysis (FIA) Program of the U.S.

182. The US Forest Service, Forest Health Monitoring, Wyoming¶

name: forest-health-monitoring-wyoming
reference: https://www.fia.fs.fed.us/tools-data/other_data/index.php
citation
description: The USDA Forest Service, Forest Health Monitoring (FHM) is a national program designed to determine the status, changes, and trends in indicators of forest condition on an annual basis.

183. The US Forest Service, Forest Health Monitoring, Massachusetts¶

name: forest-health-monitoring-massachusetts
reference: https://www.fia.fs.fed.us/tools-data/other_data/index.php
citation
description: The USDA Forest Service, Forest Health Monitoring (FHM) is a national program designed to determine the status, changes, and trends in indicators of forest condition on an annual basis.

184. The US Forest Service, Forest Health Monitoring, Colorado¶

name: forest-health-monitoring-colorado
reference: https://www.fia.fs.fed.us/tools-data/other_data/index.php
citation
description: The USDA Forest Service, Forest Health Monitoring (FHM) is a national program designed to determine the status, changes, and trends in indicators of forest condition on an annual basis.

185. The US Forest Service, Forest Health Monitoring, North Carolina¶

name: forest-health-monitoring-northcarolina
reference: https://www.fia.fs.fed.us/tools-data/other_data/index.php
citation
description: The USDA Forest Service, Forest Health Monitoring (FHM) is a national program designed to determine the status, changes, and trends in indicators of forest condition on an annual basis.

186. Alberta Detailed Soil Survey¶

name: alberta-detailed-soil-survey
reference: https://open.canada.ca/data/en/dataset/9150ad66-73f7-444f-a67c-4be5cf676453
citation
description: The Agricultural Region of Alberta Soil Inventory Database (AGRASID3.0) Detailed Soil Survey dataset series at a scale of 1:100 000 consists of geo-referenced soil polygons with linkages to attribute data found in the associated Component File (CMP), Soil Names File (SNF) and Soil Layer File (SLF).

187. Saskatchewan Detailed Soil Survey¶

name: saskatchewan-detailed-soil-survey
reference: https://open.canada.ca/data/en/dataset/3734623c-25c5-4e69-936d-26f764a2807f
citation
description: The Saskatchewan Detailed Soil Survey dataset series at a scale of 1:100 000 consists of geo-referenced soil polygons with linkages to attribute data found in the associated Component File (CMP), Soil Names File (SNF) and Soil Layer File (SLF)

188. The New York Times Coronavirus (Covid-19) Data in the United States¶

name: nytimes-us-covid
reference: https://github.com/nytimes/covid-19-data
citation: Data from The New York Times, based on reports from state and local health agencies.
description: The New York Times’ data files with cumulative counts of coronavirus cases in the United States

189. Virgin islands coral scleractinian corals¶

name: virgin-islands-coral-scleractinian-corals
reference: http://coralreefs.csun.edu/data/data-catalogue/
citation: N/A
description: Coral Time-Series Data from St John and St Thomas Islands, http://coralreefs.csun.edu/legal/use-policy/

190. Fia california, CA¶

name: fia-california
reference: https://www.fia.fs.fed.us/
citation: June 20, 2019. Forest Inventory and Analysis Database, St. Paul, MN: U.S. Department of Agriculture, Forest Service, Northern Research Station
description: The Forest Inventory and Analysis (FIA) Program of the U.S.

191. DS4C: Data Science for COVID-19 in South Korea¶

name: coronavirus-south-korea
reference: https://www.kaggle.com/kimjihoo/coronavirusdataset
citation
description: NeurIPS 2020 Data Science for COVID-19, South Korea

192. White Clay Creek – Chlorophyll – Pheophytin (2001-2012)¶

name: white-clay-creek-chlorophyll
reference: https://czo.stroudcenter.org/data/white-clay-creek-chlorophyll-pheophytin-2001-2012/
citation: Newbold, J. D.; Damiano, S. G. (2013). White Clay Creek - Chlorophyll (2001-2012). Stroud Water Research Center.
description: Stream Chlorophyll and Pheophytin data collected by Stroud Water Research Center

193. The US Forest Service, Forest Health Monitoring, Tennessee¶

name: forest-health-monitoring-tennessee
reference: https://www.fia.fs.fed.us/tools-data/other_data/index.php
citation
description: The USDA Forest Service, Forest Health Monitoring (FHM) is a national program designed to determine the status, changes, and trends in indicators of forest condition on an annual basis.

194. WorldClim variables WorldClim version 2 at 10 minutes (~340 km2)¶

name: worldclim-ten
reference: http://worldclim.org/version2
citation: Fick, S.E. and R.J. Hijmans, 2017. Worldclim 2: New 1-km spatial resolution climate surfaces for global land areas. International Journal of Climatology.
description: WorldClim variables at 10 minutes, minimum temperature (°C), maximum temperature (°C), precipitation (mm), solar radiation (kJ m-2 day-1), wind speed (m s-1), water vapor pressure (kPa), Bioclimatic variables

195. The US Forest Service, Forest Health Monitoring, Illinois¶

name: forest-health-monitoring-illinois
reference: https://www.fia.fs.fed.us/tools-data/other_data/index.php
citation
description: The USDA Forest Service, Forest Health Monitoring (FHM) is a national program designed to determine the status, changes, and trends in indicators of forest condition on an annual basis.

196. Christina River Basin – Stream Suspended Sediment (1993-2012)¶

name: white-clay-creek-christina-sediment
reference: white-clay-creek-christina-sediment’s home link.
citation: Aufdenkampe, A.K.; Newbold, J.D.; Anderson, B. A.; Richardson, D.; Damiano, S.G. (2013). Christina River Basin - Stream Suspended Sediment (1993-2012). Stroud Water Research Center.
description: The data contains the total suspended solids (TSS) and Volatile Suspended Solids (VSS) from White Clay Creek near the Stroud Water Research Center, Avondale, PA, USA

197. Soil Landscapes of Canada Version¶

name: soil-landscapes-of-canada
reference: https://open.canada.ca/data/en/dataset/4b0ae142-9ff0-4d8f-abf5-36b2b4edd52d
citation
description: The “Soil Landscapes of Canada (SLC) Version 2.2” dataset series provides a set of geo-referenced soil areas (polygons) that are linked to attribute data found in the associated Component Table (CMP), Landscape Table (LAT), Carbon Layer Table (CLYR), and Dom/Sub File (DOM_SUB)

198. The US Forest Service, Forest Health Monitoring, South Carolina¶

name: forest-health-monitoring-southcarolina
reference: https://www.fia.fs.fed.us/tools-data/other_data/index.php
citation
description: The USDA Forest Service, Forest Health Monitoring (FHM) is a national program designed to determine the status, changes, and trends in indicators of forest condition on an annual basis.

199. Long-Term Soil Productivity (LTSP) Experiment, Fernow experimental Forest, LTREB¶

name: fernow-soil-productivity
reference: http://www.as.wvu.edu/fernow/data.html
citation
description: Fernow experimental Forest, LTREB, Soil Productivity, See Data policy

200. Fernow Experimental Forest daily precipitation¶

name: fernow-precipitation
reference: https://www.fs.usda.gov/rds/archive/catalog/RDS-2011-0014
citation: Edwards, Pamela J.; Wood, Frederica. 2011. Fernow Experimental Forest daily precipitation. Newtown Square, PA: U.S. Department of Agriculture, Forest Service, Northern Research Station. Data publication updated 19 September 2017. https://doi.org/10.2737/RDS-2011-0014
description: The data publication contains daily watershed-weighted precipitation measured for nine watersheds on the Fernow Experimental Forest from 1951 to 2015.

201. Fia pennsylvania, PA¶

name: fia-pennsylvania
reference: https://www.fia.fs.fed.us/
citation: June 20, 2019. Forest Inventory and Analysis Database, St. Paul, MN: U.S. Department of Agriculture, Forest Service, Northern Research Station
description: The Forest Inventory and Analysis (FIA) Program of the U.S.

202. Fia illinois, IL¶

name: fia-illinois
reference: https://www.fia.fs.fed.us/
citation: June 20, 2019. Forest Inventory and Analysis Database, St. Paul, MN: U.S. Department of Agriculture, Forest Service, Northern Research Station
description: The Forest Inventory and Analysis (FIA) Program of the U.S.

203. National Nutrient Database for Standard Reference Legacy Release (SR Legacy)¶

name: usda-mafcl-fooddatacenteral-srlegacy
reference: usda-mafcl-fooddatacenteral-srlegacy’s home link.
citation: U.S. Department of Agriculture, Agricultural Research Service. FoodData Central, 2019. fdc.nal.usda.gov
description: The data provides a list of nutrient and food component values that are derived from analyses, calculations, and the published literature.

204. The USA Activity TimberHarvest dataset¶

name: activity-timberharvest
reference: https://data.fs.usda.gov/geodata/edw/datasets.php
citation: United States Department of Agriculture - Forest Service. 20210407. Timber Harvests: S_USA.Activity_TimberHarvest. https://data.fs.usda.gov/geodata/edw/edw_resources/meta/S_USA.Activity_TimberHarvest.xml.
description: The TimeberHarvest feature class depicts the area planned and accomplished acres treated as a part of the Timber Harvest program of work

205. National Pedon Database Summary Layer¶

name: national-pedon-database-summary-layer
reference: https://open.canada.ca/data/en/dataset/6457fad6-b6f5-47a3-9bd1-ad14aea4b9e0
citation
description: The National Pedon Database Summary Layer is a limited, vetted dataset of eight tables containing over a hundred soil properties. Additionally, the National Pedon Database Summary layer is only a subset of the information contained within the National Pedon Database holdings (NPDB)

206. Virgin Islands National Park: Coral Reef: Juvenile Coral¶

name: virgin-islands-coral-juvenile
reference: http://coralreefs.csun.edu/data/data-catalogue/
citation: Edmunds P. 2016. Virgin Islands National Park: Coral Reef: Juvenile Coral. Environmental Data Initiative. https://doi.org/10.6073/pasta/cd413c7d15f1d73f48def3f8167bf486. Dataset accessed 10/10/2019.
description: juvenile scleractinians data, Coral Time-Series Data from St John and St Thomas Islands, http://coralreefs.csun.edu/legal/use-policy/

207. Virgin Islands National Park: Population Dynamics of Diadema antillarum¶

name: virgin-islands-coral-diadema-antillarum
reference: http://coralreefs.csun.edu/data/data-catalogue/
citation: Levitan, D.R., Edmunds, P.J. & Levitan, K.E. Oecologia (2014) 175: 117. https://doi.org/10.1007/s00442-013-2871-9
description: Long-term Coral Reef Community Dynamics, St. John, Virgin Islands National Park, CSUN. http://coralreefs.csun.edu/legal/use-policy/

208. Virgin Islands National Park: Coral Reef: Recruitment Tiles¶

name: virgin-islands-coral-recruitment-tiles
reference: http://coralreefs.csun.edu/data/data-catalogue/
citation: Edmunds P. 2018. Virgin Islands National Park: Coral Reef: Recruitment Tiles. Environmental Data Initiative. https://doi.org/10.6073/pasta/c22c4c8064634988f680a004e8ed9876. Dataset accessed 10/10/2019.
description: Virgin Islands National Park: Coral Reef: Recruitment Tiles, Coral Time-Series Data from St John and St Thomas Islands, http://coralreefs.csun.edu/legal/use-policy/

209. fill¶

name: nlcd-urban-imperviousness-hawaii
reference: fill
citation: fill
description: hi_masked_imperv_9-30-08.img

210. The North Carolina Piedmont Forest LTREB Project, Permanent sample plots¶

name: north-carolina-piedmont-permanent-plots
reference: http://labs.bio.unc.edu/Peet/PEL/df.htm
citation
description: The data between 1931 and 1947 permanent sample plots (PSPs) with individually numbered trees were established in the Duke Forest

211. Fia nebraska, NE¶

name: fia-nebraska
reference: https://www.fia.fs.fed.us/
citation: June 20, 2019. Forest Inventory and Analysis Database, St. Paul, MN: U.S. Department of Agriculture, Forest Service, Northern Research Station
description: The Forest Inventory and Analysis (FIA) Program of the U.S.

212. Rodent data from trapping webs in the long-term Small Mammal Exclusion Study (SMES) at Jornada Basin LTER, 1995-2007¶

name: jornada-lter-rodent
reference: https://portal.lternet.edu/nis/mapbrowse?packageid=knb-lter-jrn.210086009.74
citation: Bestelmeyer B., D. Lightfoot, R. Schooley. 2019. Rodent data from trapping webs in the long-term Small Mammal Exclusion Study (SMES) at Jornada Basin LTER, 1995-2007. Environmental Data Initiative. https://doi.org/10.6073/pasta/0c38baecb2e10b4fe70d187ba6f08dda. Dataset accessed 1/30/2020.
description: This data package contains rodent trapping data from plots with various levels of herbivore exclusion on the Jornada Experimental Range (JER) and Chihuahuan Desert Rangeland Research Center (CDRRC) lands.

213. NTN Site WV18, Rain Chemistry data, National Atmospheric Deposition Program, State of West Virginia (WV)¶

name: fernow-nadp-rain-chemistry
reference: http://nadp.slh.wisc.edu/data/sites/siteDetails.aspx?net=NTN&id=WV18
citation
description: This data is the rain Chemistry data used in Fernow Experimental Forest Monitoring, part of National Atmospheric Deposition Program, State of West Virginia (WV),

214. Fia west-virginia, WV¶

name: fia-west-virginia
reference: https://www.fia.fs.fed.us/
citation: June 20, 2019. Forest Inventory and Analysis Database, St. Paul, MN: U.S. Department of Agriculture, Forest Service, Northern Research Station
description: The Forest Inventory and Analysis (FIA) Program of the U.S.

215. Fia new-jersey, NJ¶

name: fia-new-jersey
reference: https://www.fia.fs.fed.us/
citation: June 20, 2019. Forest Inventory and Analysis Database, St. Paul, MN: U.S. Department of Agriculture, Forest Service, Northern Research Station
description: The Forest Inventory and Analysis (FIA) Program of the U.S.

216. Long-term studies of secondary succession and community assembly in the prairie-forest ecotone of eastern Kansas (NSF LTREB # 0950100)¶

name: foster-ltreb
reference: https://foster.ku.edu/ltreb-datasets
citation
description: The data is used towards understanding and predicting the potential effects of accelerated human activity on biological diversity and ecosystem sustainability

217. Fia kentucky, KY¶

name: fia-kentucky
reference: https://www.fia.fs.fed.us/
citation: June 20, 2019. Forest Inventory and Analysis Database, St. Paul, MN: U.S. Department of Agriculture, Forest Service, Northern Research Station
description: The Forest Inventory and Analysis (FIA) Program of the U.S.

218. New York City Airbnb Open Data¶

name: new-york-city-airbnb-open-data
reference: https://www.kaggle.com/dgomonov/new-york-city-airbnb-open-data
citation
description: Airbnb listings and metrics in NYC, NY, USA (2019)

219. The US Forest Service, Forest Health Monitoring, Florida¶

name: forest-health-monitoring-florida
reference: https://www.fia.fs.fed.us/tools-data/other_data/index.php
citation
description: The USDA Forest Service, Forest Health Monitoring (FHM) is a national program designed to determine the status, changes, and trends in indicators of forest condition on an annual basis.

220. Fia south-carolina, SC¶

name: fia-south-carolina
reference: https://www.fia.fs.fed.us/
citation: June 20, 2019. Forest Inventory and Analysis Database, St. Paul, MN: U.S. Department of Agriculture, Forest Service, Northern Research Station
description: The Forest Inventory and Analysis (FIA) Program of the U.S.

221. The US Forest Service, Forest Health Monitoring, Georgia¶

name: forest-health-monitoring-georgia
reference: https://www.fia.fs.fed.us/tools-data/other_data/index.php
citation
description: The USDA Forest Service, Forest Health Monitoring (FHM) is a national program designed to determine the status, changes, and trends in indicators of forest condition on an annual basis.

222. Fia hawaii, HI¶

name: fia-hawaii
reference: https://www.fia.fs.fed.us/
citation: June 20, 2019. Forest Inventory and Analysis Database, St. Paul, MN: U.S. Department of Agriculture, Forest Service, Northern Research Station
description: The Forest Inventory and Analysis (FIA) Program of the U.S.

223. National Pedon Database Summary Layer¶

name: canada-soil-survey
reference: https://open.canada.ca/data/en/dataset/6457fad6-b6f5-47a3-9bd1-ad14aea4b9e0
citation
description: The Canada National Soil Data

224. Virgin Islands National Park: Population Projections for Orbicella annularis¶

name: virgin-islands-coral-population-projections
reference: http://coralreefs.csun.edu/data/data-catalogue/
citation: Edmunds, P.J., 2015. A quarter-century demographic analysis of the Caribbean coral, Orbicella annularis, and projections of population size over the next century. Limnology and Oceanography, 60, pp.840-855.
description: Populations Dynamics and Population Projections data, Long-term Coral Reef Community Dynamics, http://coralreefs.csun.edu/legal/use-policy/

225. FoodData Central Data Supporting Data¶

name: usda-mafcl-fooddatacenteral-supportingdata
reference: usda-mafcl-fooddatacenteral-supportingdata’s home link.
citation: U.S. Department of Agriculture, Agricultural Research Service. FoodData Central, 2019. fdc.nal.usda.gov
description: Supporting data for the FoodData Central Data

226. Virgin Islands National Park: Landscape-scale Variation in Community Structure¶

name: virgin-islands-coral-landscape-scale
reference: http://coralreefs.csun.edu/data/data-catalogue/
citation: N/A
description: Percent cover on tiles at landscape-scale sites, Download data after acceptance of MCR LTER Data Use Agreement, http://coralreefs.csun.edu/legal/use-policy/

227. Fia federated-states-micrones, FM¶

name: fia-federated-states-micrones
reference: https://www.fia.fs.fed.us/
citation: June 20, 2019. Forest Inventory and Analysis Database, St. Paul, MN: U.S. Department of Agriculture, Forest Service, Northern Research Station
description: The Forest Inventory and Analysis (FIA) Program of the U.S.

228. The USA Activity Range Vegetation Improvement dataset¶

name: activity-range-vegetation-improvement
reference: https://data.fs.usda.gov/geodata/edw/datasets.php
citation: United States Department of Agriculture - Forest Service. 20210407. Activity Range Vegetation Improvement: S_USA.Activity_RngVegImprove. https://data.fs.usda.gov/geodata/edw/edw_resources/meta/S_USA.Activity_RngVegImprove.xml.
description: The Activity Range Vegetation Improvement depicts the area planned and accomplished areas treated as a part of the Range Vegetation Improvement program of work

229. All FoodData Central data types¶

name: usda-mafcl-fooddatacenteral-alldatatypes
reference: usda-mafcl-fooddatacenteral-alldatatypes’s home link.
citation: U.S. Department of Agriculture, Agricultural Research Service. FoodData Central, 2019. fdc.nal.usda.gov
description: The datasets contains files for all of the FoodData Central data types

230. The US Forest Service, Forest Health Monitoring, Idaho¶

name: forest-health-monitoring-idaho
reference: https://www.fia.fs.fed.us/tools-data/other_data/index.php
citation
description: The USDA Forest Service, Forest Health Monitoring (FHM) is a national program designed to determine the status, changes, and trends in indicators of forest condition on an annual basis.

231. Fia maryland, MD¶

name: fia-maryland
reference: https://www.fia.fs.fed.us/
citation: June 20, 2019. Forest Inventory and Analysis Database, St. Paul, MN: U.S. Department of Agriculture, Forest Service, Northern Research Station
description: The Forest Inventory and Analysis (FIA) Program of the U.S.

232. Arsenic contamination of groundwater in Bangladesh data¶

name: arsenic-contamination-bangladesh
reference: http://www.bgs.ac.uk/research/groundwater/health/arsenic/Bangladesh/data.html
citation: BGS and DPHE. 2001. Arsenic contamination of groundwater in Bangladesh. Kinniburgh, D G and Smedley, P L (Editors). British Geological Survey Technical Report WC/00/19. British Geological Survey: Keyworth.
description: Bangladesh, Arsenic contamination of groundwater

233. The US Forest Service, Forest Health Monitoring, Utah¶

name: forest-health-monitoring-utah
reference: https://www.fia.fs.fed.us/tools-data/other_data/index.php
citation
description: The USDA Forest Service, Forest Health Monitoring (FHM) is a national program designed to determine the status, changes, and trends in indicators of forest condition on an annual basis.

234. The US Forest Service, Forest Health Monitoring, New Jersey¶

name: forest-health-monitoring-newjersey
reference: https://www.fia.fs.fed.us/tools-data/other_data/index.php
citation
description: The USDA Forest Service, Forest Health Monitoring (FHM) is a national program designed to determine the status, changes, and trends in indicators of forest condition on an annual basis.

235. The North Carolina Piedmont Forest LTREB Project, Mapped Forest Stands¶

name: north-carolina-piedmont-mapped-foreset
reference: http://labs.bio.unc.edu/Peet/PEL/df.htm
citation
description: Mapped Forest Stands of North Carolina Piedmont Forest LTREB Project

236. Cervical cancer (Risk Factors) Data Set¶

name: risk-factors-cervical-cancer
reference: http://archive.ics.uci.edu/ml/datasets/Cervical+cancer+%28Risk+Factors%29
citation: Kelwin Fernandes, Jaime S. Cardoso, and Jessica Fernandes. ‘Transfer Learning with Partial Observability Applied to Cervical Cancer Screening.’ Iberian Conference on Pattern Recognition and Image Analysis. Springer International Publishing, 2017.
description: This dataset focuses on the prediction of indicators/diagnosis of cervical cancer. The features cover demographic information, habits, and historic medical records.

237. Whole Watershed Acidification Experiment, Fernow experimental Forest, LTREB¶

name: fernow-watershed-acidification
reference: http://www.as.wvu.edu/fernow/data.html
citation
description: Fernow experimental Forest, LTREB, See Data policy

238. Zipcodes dataset¶

name: zipcodes
reference: http://federalgovernmentzipcodes.us/license.html
citation: Coven, D. S., (2012). Free Zipcode Database: [Unique Zipcode | All Locations data file]. Retrieved from http://federalgovernmentzipcodes.us
description: Zipcode data

239. Fia michigan, MI¶

name: fia-michigan
reference: https://www.fia.fs.fed.us/
citation: June 20, 2019. Forest Inventory and Analysis Database, St. Paul, MN: U.S. Department of Agriculture, Forest Service, Northern Research Station
description: The Forest Inventory and Analysis (FIA) Program of the U.S.

240. The National Atmospheric Deposition Program (NADP) precipitation chemistry¶

name: nadp-precipitation-chemistry
reference: http://nadp.slh.wisc.edu/data/
citation
description: The National Atmospheric Deposition Program (NADP) monitors precipitation chemistry. The data contains long term record of total mercury (Hg), ammonia gas

241. The US Forest Service, Forest Health Monitoring, Virginia¶

name: forest-health-monitoring-virginia
reference: https://www.fia.fs.fed.us/tools-data/other_data/index.php
citation
description: The USDA Forest Service, Forest Health Monitoring (FHM) is a national program designed to determine the status, changes, and trends in indicators of forest condition on an annual basis.

242. Christina River Basin â Stream Water Temperatures (2007-2014)¶

name: white-clay-creek-christina-temperatures
reference: white-clay-creek-christina-temperatures’s home link.
citation: Sweeney, B.; Funk, D.; Newbold, J. D.; Kaplan, L. A.; Damiano, S. G.; Kline, F.; West, H.(2013). Christina River Basin - Stream Water Temperatures (2007-2012). Stroud Water Research Center.
description: Stream Temperature data collected by Stroud Water Research Center

243. Restaurant in Baltimore city¶

name: baltimore-restaurants
reference: https://catalog.data.gov/dataset/restaurants-15baa
citation
description: List of restaurants on Baltimore City

244. Fia wyoming, WY¶

name: fia-wyoming
reference: https://www.fia.fs.fed.us/
citation: June 20, 2019. Forest Inventory and Analysis Database, St. Paul, MN: U.S. Department of Agriculture, Forest Service, Northern Research Station
description: The Forest Inventory and Analysis (FIA) Program of the U.S.

245. Fia missouri, MO¶

name: fia-missouri
reference: https://www.fia.fs.fed.us/
citation: June 20, 2019. Forest Inventory and Analysis Database, St. Paul, MN: U.S. Department of Agriculture, Forest Service, Northern Research Station
description: The Forest Inventory and Analysis (FIA) Program of the U.S.

246. Activity Silviculture Timber Stand Improvement¶

name: activity-silviculture-timber-stand-improvement
reference: https://data.fs.usda.gov/geodata/edw/datasets.php
citation: United States Department of Agriculture - Forest Service. 20210407. Activity Silviculture Timber Stand Improvement: S_USA.Activity_SilvTSI. https://data.fs.usda.gov/geodata/edw/edw_resources/meta/S_USA.Activity_SilvTSI.xml.
description: The SilvTSI (Silviculture Timber Stand Improvement) feature class represents activities associated with the following performance measure: Forest Vegetation Improved (Release, Weeding, and Cleaning, Precommercial Thinning, Pruning and Fertilization).

247. IATA airport code¶

name: airport-codes
reference: https://datahub.io/core/airport-codes
citation
description: Compiled dataset of airport codes from around the world

248. The US Forest Service, Forest Health Monitoring, Oregon¶

name: forest-health-monitoring-oregon
reference: https://www.fia.fs.fed.us/tools-data/other_data/index.php
citation
description: The USDA Forest Service, Forest Health Monitoring (FHM) is a national program designed to determine the status, changes, and trends in indicators of forest condition on an annual basis.

249. Global Population Dynamics Database¶

name: global-population-dynamics
reference: https://knb.ecoinformatics.org/view/doi:10.5063/F1BZ63Z8
citation: John Prendergast, Ellen Bazeley-White, Owen Smith, John Lawton, Pablo Inchausti, et al. 2010. The Global Population Dynamics Database. Knowledge Network for Biocomplexity. doi:10.5063/F1BZ63Z8.
description: GDPP conatins animal and plant population data, with about five thousand separate time series, population counts, taxonomic details of about 1400 species.

250. Fernow Experimental Forest stream chemistry¶

name: fernow-stream-chemistry
reference: https://www.fs.usda.gov/rds/archive/catalog/RDS-2011-0017
citation: Edwards, Pamela J.; Wood, Frederica. 2011. Fernow Experimental Forest stream chemistry. Newtown Square, PA: U.S. Department of Agriculture, Forest Service, Northern Research Station. Data publication updated 17 August 2017. https://doi.org/10.2737/RDS-2011-0017
description: The data publication contains weekly or biweekly stream water chemistry from nine gauged watersheds on the Fernow Experimental Forest from 1983 to 2015.

251. Shortgrass Steppe Long Term Ecological Research (SGS-LTER) Program data¶

name: shortgrass-steppe-lter
reference: https://portal.lternet.edu/nis/mapbrowse?packageid=knb-lter-sgs.137.17
citation: Stapp P. 2013. SGS-LTER Long-Term Monitoring Project: Small Mammals on Trapping Webs on the Central Plains Experimental Range, Nunn, Colorado, USA 1994 -2006, ARS Study Number 118. Environmental Data Initiative. https://doi.org/10.6073/pasta/2e311b4e40fea38e573890f473807ba9. Dataset accessed 1/30/2020.
description: SGS-LTER Long-Term Monitoring Project: Small Mammals on Trapping Webs on the Central Plains Experimental Range, Nunn, Colorado, USA 1994 -2006, ARS Study Number 118

252. Fernow Experimental Forest daily air temperature¶

name: fernow-air-temperature
reference: https://www.fs.usda.gov/rds/archive/catalog/RDS-2011-0013
citation: Edwards, Pamela J.; Wood, Frederica. 2011. Fernow Experimental Forest daily air temperature. Newtown Square, PA: U.S. Department of Agriculture, Forest Service, Northern Research Station. Data publication updated 17 August 2017. https://doi.org/10.2737/RDS-2011-0013
description: The data publication contains daily maximum and minimum air temperature measured at two weather stations on the Fernow Experimental Forest from 1951 to 2015

253. The US Forest Service, Forest Health Monitoring, Indiana¶

name: forest-health-monitoring-indiana
reference: https://www.fia.fs.fed.us/tools-data/other_data/index.php
citation
description: The USDA Forest Service, Forest Health Monitoring (FHM) is a national program designed to determine the status, changes, and trends in indicators of forest condition on an annual basis.

254. Yukon Detailed Soil Survey¶

name: yukon-detailed-soil-survey
reference: https://open.canada.ca/data/en/dataset/91c39230-fb8d-45f7-8af9-11257a549710
citation
description: The Yukon Detailed Soil Survey dataset series consists of geo-referenced soil polygons with linkages to attribute data found in the associated Component File (CMP), Soil Names File (SNF) and Soil Layer File (SLF)

255. The US Forest Service, Forest Health Monitoring, Maryland¶

name: forest-health-monitoring-maryland
reference: https://www.fia.fs.fed.us/tools-data/other_data/index.php
citation
description: The USDA Forest Service, Forest Health Monitoring (FHM) is a national program designed to determine the status, changes, and trends in indicators of forest condition on an annual basis.

256. The US Forest Service, Forest Health Monitoring, Connecticut¶

name: forest-health-monitoring-connecticut
reference: https://www.fia.fs.fed.us/tools-data/other_data/index.php
citation
description: The USDA Forest Service, Forest Health Monitoring (FHM) is a national program designed to determine the status, changes, and trends in indicators of forest condition on an annual basis.

257. Fia connecticut, CT¶

name: fia-connecticut
reference: https://www.fia.fs.fed.us/
citation: June 20, 2019. Forest Inventory and Analysis Database, St. Paul, MN: U.S. Department of Agriculture, Forest Service, Northern Research Station
description: The Forest Inventory and Analysis (FIA) Program of the U.S.

258. Hyperspectral benchmark dataset on soil moisture¶

name: felix-riese-hyperspectral-soilmoisture
reference: https://zenodo.org/record/2530634#.Xf7thC2ZOuU
citation: Felix M. Riese and Sina Keller, “Introducing a Framework of Self-Organizing Maps for Regression of Soil Moisture with Hyperspectral Data,” in 2018 IEEE International Geoscience and Remote Sensing Symposium (IGARSS), Valencia, Spain, 2018,
description: Hyperspectral and soil-moisture data from a field campaign based on a soil sample. Karlsruhe (Germany), 2017

259. Fia south-dakota, SD¶

name: fia-south-dakota
reference: https://www.fia.fs.fed.us/
citation: June 20, 2019. Forest Inventory and Analysis Database, St. Paul, MN: U.S. Department of Agriculture, Forest Service, Northern Research Station
description: The Forest Inventory and Analysis (FIA) Program of the U.S.

260. Test data raster bio1¶

name: sample-hdf
reference: N/A
citation: N/A
description: Test data sampled from bioclim bio1

261. The US Forest Service, Forest Health Monitoring, West Virginia¶

name: forest-health-monitoring-westvirginia
reference: https://www.fia.fs.fed.us/tools-data/other_data/index.php
citation
description: The USDA Forest Service, Forest Health Monitoring (FHM) is a national program designed to determine the status, changes, and trends in indicators of forest condition on an annual basis.

262. White Clay Creek Stage, Streamflow or Discharge (1968-2014)¶

name: white-clay-creek-streamflow
reference: white-clay-creek-streamflow’s home link.
citation: Continuous streamflow data collected by Stroud Water Research Center
description: Continuous streamflow data collected by the Stroud Water Research Center within the 3rd-order research watershed, White Clay Creek above McCue Road.

263. Virgin Islands National Park, Coral Reef, Population Dynamics: Scleractinian corals¶

name: virgin-islands-coral-yawzi-transects
reference: http://coralreefs.csun.edu/data/data-catalogue/
citation: Edmunds P. 2019. Virgin Islands National Park: Coral Reef: Population Dynamics: Scleractinian corals. Environmental Data Initiative. https://doi.org/10.6073/pasta/8e0b03fdc567b91aa2edc6e875291ff7. Dataset accessed 10/10/2019
description: Population Dynamics of Scleractinian Corals, Coral Time-Series Data from St John and St Thomas Islands, http://coralreefs.csun.edu/legal/use-policy/

264. Fia new-hampshire, NH¶

name: fia-new-hampshire
reference: https://www.fia.fs.fed.us/
citation: June 20, 2019. Forest Inventory and Analysis Database, St. Paul, MN: U.S. Department of Agriculture, Forest Service, Northern Research Station
description: The Forest Inventory and Analysis (FIA) Program of the U.S.

265. The USA MTBS Burn Area Boundary¶

name: mtbs-burn-area-boundary
reference: https://data.fs.usda.gov/geodata/edw/datasets.php
citation: United States Department of Agriculture - Forest Service. 20190826. MTBS Burn Area Boundary: MTBS Burn Area Boundary. https://data.fs.usda.gov/geodata/edw/edw_resources/meta/S_USA.MTBS_BURN_AREA_BOUNDARY.xml.
description: The Monitoring Trends in Burn Severity (MTBS) project assesses the frequency, extent, and magnitude (size and severity)

266. The US Forest Service, Forest Health Monitoring, Nevada¶

name: forest-health-monitoring-nevada
reference: https://www.fia.fs.fed.us/tools-data/other_data/index.php
citation
description: The USDA Forest Service, Forest Health Monitoring (FHM) is a national program designed to determine the status, changes, and trends in indicators of forest condition on an annual basis.

267. The US Forest Service, Forest Health Monitoring, New York¶

name: forest-health-monitoring-newyork
reference: https://www.fia.fs.fed.us/tools-data/other_data/index.php
citation
description: The USDA Forest Service, Forest Health Monitoring (FHM) is a national program designed to determine the status, changes, and trends in indicators of forest condition on an annual basis.

268. The US Forest Service, Forest Health Monitoring, New Hampshire¶

name: forest-health-monitoring-newhampshire
reference: https://www.fia.fs.fed.us/tools-data/other_data/index.php
citation
description: The USDA Forest Service, Forest Health Monitoring (FHM) is a national program designed to determine the status, changes, and trends in indicators of forest condition on an annual basis.

269. Land Grab Universities¶

name: land-grab-universities
reference: https://github.com/HCN-Digital-Projects/landgrabu-data
citation: Robert Lee, âMorrill Act of 1862 Indigenous Land Parcels Database,â High Country News, March 2020.
description: Expropriated Indigenous land by land grant university system.

270. BUILDBPS: Facilities and educational data for boston public schools¶

name: boston-buildbps
reference: boston-buildbps’s home link.
citation
description: Boston, BuildBPS compiles data that can be used to guide and inform decisions related to school building investments

271. The USA MTBS Fire Occurrence Points¶

name: mtbs-fire-occurrence
reference: https://data.fs.usda.gov/geodata/edw/datasets.php
citation: United States Department of Agriculture - Forest Service. 20190826. MTBS Fire Occurrence Points: MTBS Fire Occurrence Points. https://data.fs.usda.gov/geodata/edw/edw_resources/meta/S_USA.MTBS_FIRE_OCCURRENCE_PT.xml.
description: Monitoring Trends in Burn Severity Project

272. Virgin Islands National Park, Geography of Sites¶

name: virgin-islands-coral-geography
reference: http://coralreefs.csun.edu/data/data-catalogue/
citation: N/A
description: This is a reference dataset containing the site locations, year established, and types of surveys, http://coralreefs.csun.edu/legal/use-policy/

273. Foundation Foods¶

name: usda-mafcl-fooddatacenteral-foundationfoods
reference: usda-mafcl-fooddatacenteral-foundationfoods’s home link.
citation: U.S. Department of Agriculture, Agricultural Research Service. FoodData Central, 2019. fdc.nal.usda.gov
description: The data includes nutrient and food component values on a diverse range of ingredient and commodity foods.

274. Fia delaware, DE¶

name: fia-delaware
reference: https://www.fia.fs.fed.us/
citation: June 20, 2019. Forest Inventory and Analysis Database, St. Paul, MN: U.S. Department of Agriculture, Forest Service, Northern Research Station
description: The Forest Inventory and Analysis (FIA) Program of the U.S.

275. Christina River Basin - Stream Water Chemistry (1977-2017)¶

name: white-clay-creek-christina-chemistry
reference: FILL
citation: Kaplan, L. A.; Newbold, J. D.; Aufdenkampe, A. K.; Anderson, B. A.; Damiano, S.G. (2013). Christina River Basin - Stream Water Chemistry (1977-2010). Stroud Water Research Center.
description: Stream Chemistry data collected by Stroud Water Research Center

276. Fia arizona, AZ¶

name: fia-arizona
reference: https://www.fia.fs.fed.us/
citation: June 20, 2019. Forest Inventory and Analysis Database, St. Paul, MN: U.S. Department of Agriculture, Forest Service, Northern Research Station
description: The Forest Inventory and Analysis (FIA) Program of the U.S.

277. Fia alaska, AK¶

name: fia-alaska
reference: https://www.fia.fs.fed.us/
citation: June 20, 2019. Forest Inventory and Analysis Database, St. Paul, MN: U.S. Department of Agriculture, Forest Service, Northern Research Station
description: The Forest Inventory and Analysis (FIA) Program of the U.S.

278. Fire Occurrence FIRESTAT yearly¶

name: fire-occurrence-firestat-yearly
reference: https://data.fs.usda.gov/geodata/edw/datasets.php
citation: United States Department of Agriculture - Forest Service. 20210407. FIRESTAT Fire Occurrence - Yearly Update: Fire Occurrence FIRESTAT yearly. https://data.fs.usda.gov/geodata/edw/edw_resources/meta/S_USA.Fire_Occurrence_FIRESTAT_YRLY.xml.
description: The FIRESTAT (Fire Statistics System) Fire Occurrence point layer represents ignition points, or points of origin, from which individual wildland fires started on National Forest System lands

279. Dissolved organic carbon concentrations in White Clay Creek, Pennsylvania, 1977-2017¶

name: white-clay-dissolved-carbon
reference: https://portal.edirepository.org/nis/mapbrowse?packageid=edi.386.1
citation: Kaplan L. A. 2019. Dissolved organic carbon concentrations in White Clay Creek, Pennsylvania, 1977-2017. Environmental Data Initiative. https://doi.org/10.6073/pasta/60deae3675ff30109bf7a35cceaf719d. Dataset accessed 10/15/2019.
description: The data is of dissolved organic carbon concentrations were measured over a period of 4 decades in a 3rd-order reach of White Clay Creek, a stream with a forested riparian zone in the Southeastern Pennsylvania Piedmont

280. Fia indiana, IN¶

name: fia-indiana
reference: https://www.fia.fs.fed.us/
citation: June 20, 2019. Forest Inventory and Analysis Database, St. Paul, MN: U.S. Department of Agriculture, Forest Service, Northern Research Station
description: The Forest Inventory and Analysis (FIA) Program of the U.S.

281. Fia oregon, OR¶

name: fia-oregon
reference: https://www.fia.fs.fed.us/
citation: June 20, 2019. Forest Inventory and Analysis Database, St. Paul, MN: U.S. Department of Agriculture, Forest Service, Northern Research Station
description: The Forest Inventory and Analysis (FIA) Program of the U.S.

282. Fia texas, TX¶

name: fia-texas
reference: https://www.fia.fs.fed.us/
citation: June 20, 2019. Forest Inventory and Analysis Database, St. Paul, MN: U.S. Department of Agriculture, Forest Service, Northern Research Station
description: The Forest Inventory and Analysis (FIA) Program of the U.S.

283. The US Forest Service, Forest Health Monitoring, Rhode Island¶

name: forest-health-monitoring-rhodeisland
reference: https://www.fia.fs.fed.us/tools-data/other_data/index.php
citation
description: The USDA Forest Service, Forest Health Monitoring (FHM) is a national program designed to determine the status, changes, and trends in indicators of forest condition on an annual basis.

284. coronavirus-belgium¶

name: coronavirus-belgium
reference: https://epistat.wiv-isp.be/covid/
citation
description: Dataset of COVID-19 in Belgium

285. WorldClim variables WorldClim version 2 at 5 minutes¶

name: worldclim-five
reference: http://worldclim.org/version2
citation: Fick, S.E. and R.J. Hijmans, 2017. Worldclim 2: New 1-km spatial resolution climate surfaces for global land areas. International Journal of Climatology.
description: WorldClim variables at 5 minutes, minimum temperature (°C), maximum temperature (°C), precipitation (mm), solar radiation (kJ m-2 day-1), wind speed (m s-1), water vapor pressure (kPa), Bioclimatic variables

286. The USA Activity SilvicultureReforestation.¶

name: usa-activity-silvreforestation
reference: https://data.fs.usda.gov/geodata/edw/datasets.php
citation: United States Department of Agriculture - Forest Service. 20210407. Activity SilvicultureReforestation: S_USA.SilvReforestation. https://data.fs.usda.gov/geodata/edw/edw_resources/meta/S_USA.Activity_SilvReforestation.xml.
description: The SilvReforestation feature class represents activities associated with the following performance measure: Forest Vegetation Establishment (Planting, Seeding, Site Preparation for Natural Regeneration and Certification of Natural Regeneration without Site Preparation).

287. Fia new-york, NY¶

name: fia-new-york
reference: https://www.fia.fs.fed.us/
citation: June 20, 2019. Forest Inventory and Analysis Database, St. Paul, MN: U.S. Department of Agriculture, Forest Service, Northern Research Station
description: The Forest Inventory and Analysis (FIA) Program of the U.S.

288. Fia ohio, OH¶

name: fia-ohio
reference: https://www.fia.fs.fed.us/
citation: June 20, 2019. Forest Inventory and Analysis Database, St. Paul, MN: U.S. Department of Agriculture, Forest Service, Northern Research Station
description: The Forest Inventory and Analysis (FIA) Program of the U.S.

289. Fia washington, WA¶

name: fia-washington
reference: https://www.fia.fs.fed.us/
citation: June 20, 2019. Forest Inventory and Analysis Database, St. Paul, MN: U.S. Department of Agriculture, Forest Service, Northern Research Station
description: The Forest Inventory and Analysis (FIA) Program of the U.S.

290. Nova Scotia Detailed Soil Survey¶

name: nova-scotia-detailed-soil-survey
reference: https://open.canada.ca/data/en/dataset/083534ca-d5b0-46f5-b540-f3a706dbc2de
citation
description: The Nova Scotia Detailed Soil Survey dataset series at a scale of 1:50 000 consists of geo-referenced soil polygons with linkages to attribute data found in the associated Component File (CMP), Soil Names File (SNF) and Soil Layer File (SLF).

291. 30 seconds WorldClim variables for WorldClim version 2¶

name: worldclim-thirty
reference: http://worldclim.org/version2
citation: Fick, S.E. and R.J. Hijmans, 2017. Worldclim 2: New 1-km spatial resolution climate surfaces for global land areas. International Journal of Climatology.
description: WorldClim variables at 30 seconds, minimum temperature (°C), maximum temperature (°C), precipitation (mm), solar radiation (kJ m-2 day-1), wind speed (m s-1), water vapor pressure (kPa), Bioclimatic variables

292. Fia alabama, AL¶

name: fia-alabama
reference: https://www.fia.fs.fed.us/
citation: June 20, 2019. Forest Inventory and Analysis Database, St. Paul, MN: U.S. Department of Agriculture, Forest Service, Northern Research Station
description: The Forest Inventory and Analysis (FIA) Program of the U.S.

293. Nutrient Data Laboratory. USDA National Nutrient Database for Standard Reference, Release 28¶

name: usda-mafcl-standard-reference
reference: usda-mafcl-standard-reference’s home link.
citation: US Department of Agriculture, Agricultural Research Service. 2016. Nutrient Data Laboratory. USDA National Nutrient Database for Standard Reference, Release 28 (Slightly revised). Version Current: May 2016. http://www.ars.usda.gov/nea/bhnrc/mafcl
description: The dataset contains nutrient data for Standard Reference

294. U.S. Department of Agriculture’s PLANTS Database¶

name: usda-agriculture-plants-database
reference: https://plants.sc.egov.usda.gov/download.html
citation
description: U.S. Department of Agriculture’s PLANTS Database

Datasets Available¶

1. Ecoregions of the Conterminous United States¶

2. Nematode traits and environmental constraints in 200 soil systems¶

3. Mammal abundance indices in the northern portion of the Great Basin¶

4. Mapeamento de iniciativas (e catálogos) de dados abertos governamentais no Brasil.¶

5. Biomass and Its Allocation in Chinese Forest Ecosystems (Luo, et al., 2014)¶

6. Poker Hand dataset¶

7. Phylogeny and metabolic rates in mammals (Ecological Archives 2010)¶

8. Database of Vertebrate Home Range Sizes - Tamburello et al., 2015¶

9. The effects of biodiversity on ecosystem community, and population variables reported 1974-2004¶

10. USDA plant list - taxonomy for US plant species¶

11. Foraging attributes for birds and mammals (Wilman, et al., 2014)¶

12. Effects of biodiversity on the functioning of ecosystems:A summary of 164 experimental manipulations of species richness¶

13. Abalone Age and Size Data¶

14. A database on visible diurnal spring migration of birds¶

15. Barnacle, fucoid, and mussel recruitment in the Gulf of Maine, USA, from 1997 to 2007¶

16. Car Evaluation¶

17. Wisconsin Breast Cancer Database¶

18. Demography of the endemic mint Dicerandra frutescens in Florida scrub¶

19. Sonoran Desert Lab perennials vegetation plots¶

20. Transparency and Open Data Portals of Brazilian states and municipalities¶

21. The distribution and host range of the pandemic disease chytridiomycosis in Australia, spanning surveys from 1956-2007.¶

22. National_Lakes_Assessment_Data¶

23. Mammal Community DataBase (Thibault et al. 2011)¶

24. GDP Data¶

25. Bird Body Size and Life History (Lislevand et al. 2007)¶

26. Fire-related traits for plant species of the Mediterranean Basin. Ecology 90:1420¶

27. species data on densities and percent cover in the 60 experimental plots from 1996 to 2002¶

28. Partners_In_Flight_Species_Assessment_Data¶

29. Cancer Rates Lake County¶

30. A stream gage database for evaluating natural and altered flow conditions in the conterminous United States.¶

31. Michigan forest canopy dynamics plots - Woods et al. 2009¶

32. Global Biotic Interactions (GloBI) data¶

33. Portal Project Data (Ernest et al. 2016)¶

34. Long term limnological measures in Acton Lake, database, 1992-2017¶

35. The data was used to investigate patterns and causes of variation in NPP by the giant kelp, Macrocystis pyrifera, which is believed to be one of the fastest growing autotrophs on earth.¶

36. Wine Quality¶

37. Sagebrush steppe mapped plant quadrats (Zachmann et al. 2010)¶

38. Shortgrass steppe mapped plants quads - Chu et al. 2013¶

39. The LakeCat Dataset¶

40. Mammal Life History Database - Ernest, et al., 2003¶

41. Portal Project Data (Ernest et al. 2009)¶

42. Long-term population dynamics of individually mapped Sonoran Desert winter annuals from the Desert Laboratory, Tucson AZ¶

43. Percentage leaf herbivory across vascular plant species¶

44. Vascular plant composition - McGlinn, et al., 2010¶

45. Wine Composition¶

46. Miscellaneous Abundance Database (figshare 2012)¶

47. BioTIME species identities and abundances¶

48. Dataset containing information on all airports on ouraiports.com¶

49. Antarctic Site Inventory breeding bird survey data, 1994-2013¶

50. Croche understory vegetation data set¶

51. Breed-Bird-Survey-nlcd Data¶

52. Iris Plants Database¶

53. Mount St. Helens vegetation recovery plots (del Moral 2010)¶

54. Nesting ecology and offspring recruitment in a long-lived turtle¶

55. ND-Gain¶

56. Masses of Mammals (Smith et al. 2003)¶

57. MammalDIET¶

58. Prairie-forest ecotone of eastern Kansas/Foster Lab¶

59. Mapped plant quadrat time-series from Kansas (Adler et al. 2007)¶

60. New York City TreesCount¶

61. 3-D maps of tree canopy geometries at leaf scale¶

62. Spatial Population Data Alpine Butterfly - Matter et al 2014¶

63. Fish parasite host ecological characteristics (Strona, et al., 2013)¶

64. Fray Jorge community ecology database (Kelt et al. 2013)¶

65. First-flowering dates of plants in the Northern Great Plains¶

66. Mapped plant quadrat time-series from Montana (Anderson et al. 2011)¶

67. The ph_ownership_history dataset¶

68. BUPA liver disorders¶

69. Forest fire data for Montesinho natural park in Portugal¶

70. Biovolumes for freshwater phytoplankton - Colin et al. 2014¶

71. Bioclim 2.5 Minute Climate Data¶

72. Body sizes of consumers and their resources¶

73. Oosting Natural Area (North Carolina) plant occurrence (Palmer et al. 2007)¶

74. BAAD: a Biomass And Allometry Database for woody plants¶

75. USGS North American Breeding Bird Survey¶

76. Vertnet Reptiles¶

77. Tree growth, mortality, physical condition - Clark, 2006¶

78. Commercial Fisheries Monthly Trade Data by Product, Country/Association¶

79. Gulf of Maine intertidal density/cover (Petraitis et al. 2008)¶

125. Third-order and Upper watershed White Clay Creek and Boulton Run â Climate, Stable Isotopes, Stream Water Chemistry,Precipitation Stable Isotopes (2011-2012)¶