Datasets Available

1. 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.

2. BioTIME species identities and abundances

name:biotime 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.

3. 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:

4. 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.

5. 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.

6. 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).

7. 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

8. 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.

9. 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

10. 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.

11. 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.

12. 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

13. 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

14. 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.

15. 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.

16. 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

17. 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.

18. 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

19. 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

20. 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.

21. 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

22. 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.

23. Portal Project Data (Ernest et al. 2009)

name:

portal

reference:

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

citation:

19. 11. 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.

24. 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.

25. 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.

26. 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

27. Wine Quality

name:

wine-quality

reference:

wine-quality’s home link.

citation:

16. 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

28. 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

29. 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:

30. 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.

31. 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.

32. 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.

33. 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.

34. 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

35. 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.

36. 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

37. 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,

38. 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.

39. Portal Project Data (Ernest et al. 2016)

name:

portal-dev

reference:

https://github.com/weecology/PortalData

citation:

19. 11. 13. 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.

40. 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)

41. 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

42. 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.

43. Mammal Life History Database - Ernest, et al., 2003

name:

mammal-life-hist

reference:

mammal-life-hist’s home link.

citation:

19. 11. 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.

44. 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.

45. 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

46. 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.

47. 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.

48. 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.

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

name:

mediter-basin-plant-traits

reference:

https://figshare.com/articles/Data_Paper_Data_Paper/3531092

citation:

19. Paula, M. Arianoutsou, D. Kazanis, Ç. Tavsanoglu, F. Lloret, C. Buhk, F. Ojeda, B. Luna, J. M. Moreno, A. Rodrigo, J. M. Espelta, S. Palacio, B. Fernández-Santos,, P. M. Fernandes, and J. G. Pausas. 2009. Fire-related traits for plant species of the Mediterranean Basin. Ecology 90:1420.

description:

This data set compiles the most updated and comprehensive information on fire-related traits for vascular plant species of the Mediterranean Basin

50. 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

51. 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

52. 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

53. 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.

54. 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

55. 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.

56. 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.

57. 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..

58. 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.

59. 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.

60. 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.

61. 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.

62. 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.

63. Forest fire data for Montesinho natural park in Portugal

name:

forest-fires-portugal

reference:

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

citation:

16. 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.

64. 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

65. 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

66. 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.

67. 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

68. 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.

69. 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

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

name:

fray-jorge-ecology

reference:

fray-jorge-ecology’s home link.

citation:

4. 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.

71. Iris Plants Database

name:

iris

reference:

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

citation:

18. 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.

72. 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.

73. 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.

74. 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.

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. 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.

77. 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.

78. 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.

79. 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.

80. 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.

81. 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.

82. 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.

83. vertnet:

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

84. 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

85. 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.

86. 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.

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

name:

predator-prey-size-marine

reference:

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

citation:

3. 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.

88. 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.

89. 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.

90. 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.

91. 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.

92. 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:

93. 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.

94. 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.

95. 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.

96. 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.

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

name:

forest-plots-wghats

reference:

forest-plots-wghats’s home link.

citation:

2. 18. 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.

98. 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.

99. 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

100. 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.

101. 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:

3. 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.

102. 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)

103. 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).

104. 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.

105. 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.

106. 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.

107. 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

108. 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

109. 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.

110. 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

111. 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.

112. 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.

113. 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.

114. 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

115. 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.

116. 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.

117. 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.

118. coronavirus-belgium

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

119. 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.

120. 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

121. 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

122. 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.

123. 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.

124. 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.

125. 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.

126. 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.

127. 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.

128. 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.

129. 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.

130. 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

131. 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.

132. 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)

133. 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.

134. 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.

135. 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.

136. 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.

137. 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/

138. 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

139. 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).

140. 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).

141. 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.

142. 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.

143. 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.

144. 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

145. 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.

146. 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.

147. 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.

148. 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.

149. 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.

150. 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

151. 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

152. fill

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

153. 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.

154. 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)

155. 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/

156. 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

157. 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).

158. 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.

159. Christina River Basin – 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

160. 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.

161. 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.

162. 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.

163. 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.

164. 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

165. 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

166. 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

167. 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.

168. 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.

169. 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.

170. 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.

171. 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.

172. 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.

173. 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

174. 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/

175. 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

176. 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

177. 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.

178. fill

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

179. 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.

180. 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/

181. 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

182. 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/

183. 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.

184. 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.

185. 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

186. 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/

187. 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.

188. 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

189. 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.

190. 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

191. 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.

192. 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.

193. 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.

194. 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.

195. 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.

196. 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.

197. 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/

198. 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.

199. 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.

200. 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

201. 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

202. 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

203. 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)

204. 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

205. 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).

206. 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.

207. 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.

208. 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.

209. 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

210. 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/

211. IATA airport code

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

212. 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.

213. 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.

214. 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

215. 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

216. 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

217. 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.

218. 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.

219. 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.

220. 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

221. 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.

222. 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

223. 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

224. 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

225. 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.

226. 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.

227. 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.

228. 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.

229. 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

230. 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

231. 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

232. 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.

233. 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/

234. 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.

235. 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).

236. COVID-19 in Italy

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

237. 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.

238. Test data raster bio1

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

239. 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),

240. 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

241. 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)

242. Nuclear Power Plants Database

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

243. 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.

244. 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)

245. 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.

246. 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)

247. 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.

248. 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.

249. 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

250. Restaurant in Baltimore city

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

251. 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/

252. 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.

253. 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

254. 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.

255. 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

256. 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.

257. 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.

258. 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).

259. 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.

260. 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.

261. 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

262. 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.

263. Third-order and Upper watershed White Clay Creek and Boulton Run – 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

264. 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.

265. 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.

266. 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/

267. 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.

268. 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.

269. 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.

270. 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.

271. 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.

272. fill

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

273. 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.

274. 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/

275. 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.

276. 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.

277. 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.

278. 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.

279. 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.

280. 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.

281. 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.

282. 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.

283. 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

284. 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

285. 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.

286. 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.

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. 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.

289. fill

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

290. 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

291. 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

292. 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