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LTER-Italy Antarctic sites figure
<p>Geographical representation of the LTER-Italy Antarctic sites Macrosito Baia di Terranova (MBT - LTER_EU_IT_086), Mooring A: Southwestern Ross Sea, Ross Island (LTER_EU_IT_069), Mooring B: North Central Ross Sea, Joides Basin (LTER_EU_IT_070, Mooring D: Western Ross Sea, TerraNova Bay Polynya (LTER_EU_IT_071) and Mooring H: Central Ross Sea (LTER_EU_IT_072) - DEIMS-iDs <a href="https://deims.org/7fb8e2c6-b11f-41a7-b494-44ceeb3bed2d">https://deims.org/7fb8e2c6-b11f-41a7-b494-44ceeb3bed2d</a>, <a href="https://deims.org/86b6465c-b604-4efa-9145-0805f62216f4">https://deims.org/86b6465c-b604-4efa-9145-0805f62216f4</a>, <a href="https://deims.org/1fb62b9c-4d5c-4f1f-8882-807032337de7">https://deims.org/1fb62b9c-4d5c-4f1f-8882-807032337de7</a>, <a href="https://deims.org/b4121cd7-8b02-4872-b1d2-516d1c02056a">https://deims.org/b4121cd7-8b02-4872-b1d2-516d1c02056a</a> and <a href="https://deims.org/63a444a3-22e1-44fe-a7e3-7982366a2c1b">https://deims.org/63a444a3-22e1-44fe-a7e3-7982366a2c1b</a>.</p>
LTER-Italy Gulf of Naples sites figure
<p>Geographical representation of the LTER-Italy Gulf of Naples sites LTER Lacco Ameno (LTER_EU_IT_060) and LTER Marechiara (LTER_EU_IT_061) - DEIMS-ID <a href="https://deims.org/4a05a2fb-0015-4310-96d5-a94c019bda58">https://deims.org/4a05a2fb-0015-4310-96d5-a94c019bda58</a> and h<a href="http://ttps://deims.org/0b87459a-da3c-45af-a3e1-cb1508519411">ttps://deims.org/0b87459a-da3c-45af-a3e1-cb1508519411</a></p>
LTER-Italy terrestrial sites map
<p>Map of Italy where the Italian Long-Term Ecological Research (LTER-Italy) freshwater sites are evidenced. The colours of the dots correspond to the terrestrial ecosystem (brown) typologies. The main features of the sites can be found on DEIMS-SDR, the LTER-Europe repository for research sites and datasets (<a href="https://deims.org/">https://deims.org</a>).</p>
LTER-Italy marine sites map
<p>Map of Italy where the Italian Long-Term Ecological Research (LTER-Italy) freshwater sites are evidenced. The colours of the dots correspond to the marine ecosystem (dark blue) typologies. The main features of the sites can be found on DEIMS-SDR, the LTER-Europe repository for research sites and datasets (<a href="https://deims.org/">https://deims.org</a>).</p>
LTER-Italy freshwater sites map
<p>Map of Italy where the Italian Long-Term Ecological Research (LTER-Italy) freshwater sites are evidenced. The colours of the dots correspond to the freshwater ecosystem (light blue) typologies. The main features of the sites can be found on DEIMS-SDR, the LTER-Europe repository for research sites and datasets (<a href="https://deims.org">https://deims.org</a>).</p>
LTER-Italy sites map
<p>Map of Italy where the Italian Long-Term Ecological Research (LTER-Italy) sites are evidenced. The colours of the dots correspond to the main ecosystem typologies: Dark blue = marine, light blue = freshwater, green = transitional water, brown = terrestrial. The main features of the sites can be found on DEIMS-SDR, the LTER-Europe repository for research sites and datasets (<a href="https://deims.org">https://deims.org</a>).</p>
LTER-Italy marine and transitional sites map
<p>Map of Italy where the Italian Long-Term Ecological Research (LTER-Italy) sites are evidenced. The colours of the dots correspond to the main ecosystem typologies: Dark blue = marine, green = transitional water. The main features of the sites can be found on DEIMS-SDR, the LTER-Europe repository for research sites and datasets (<a href="https://deims.org">https://deims.org</a>).</p>
SBC LTER: Reef: Annual time series of biomass for kelp forest species, ongoing since 2000 (Reformatted to a Darwin Core Archive)
This data package is formatted as a Darwin Core Archive (DwC-A, event core). For more information on Darwin Core see https://www.tdwg.org/standards/dwc/. This Level 2 data package was derived from the Level 1 data package found here: https://pasta.lternet.edu/package/metadata/eml/edi/281/3, which was derived from the Level 0 data package found here: https://pasta.lternet.edu/package/metadata/eml/knb-lter-sbc/50/10. The abstract below was extracted from the Level 0 data package and is included for context: These data are annual estimates of biomass of approximately 225 taxa of reef algae, invertebrates and fish in permanent transects at 11 kelp forest sites in the Santa Barbara Channel (2-8 transects per site). Abundance is measured annually (as percent cover or density, by size) and converted to biomass (i.e., wet mass, dry mass, decalcified dry mass, ash free dry mass) using published taxon-specific algorithms. Data collection began in summer 2000 and continues annually in summer to provide information on community structure, population dynamics and species change. The time period of data collection varied among the 11 kelp forest sites. Sampling at BULL, CARP, and NAPL began in 2000, sampling at the other 6 mainland sites (AHND, AQUE, IVEE, GOLB, ABUR, MOHK) began in 2001 (transects 3, 5, 6, 7, 8 at IVEE were added in 2011). Data collection at the two Santa Cruz Island sites (SCTW and SCDI) began in 2004. See Methods for more information. See Methods for more information. The primary research objective of the Santa Barbara Coastal LTER is to investigate the importance of land and ocean processes in structuring giant kelp (Macrocystis pyrifera ) forest ecosystems. As in many temperate regions, the shallow rocky reefs in the Santa Barbara Channel, California, are dominated by giant kelp forests. Because of their close proximity to shore, kelp forests are influenced by physical and biological processes occurring on land as well as in the open ocean. SBC LTER research
IISD Experimental Lakes Area LTER: Phytoplankton Abundance, Biomass, and Community Structure, 1969 – 2024
The IISD Experimental Lakes Area (IISD-ELA) LTER Phytoplankton Abundance, Biomass, and Community Structure data package provides data on phytoplankton from five long-term reference lakes (Lake 114, Lake 224, Lake 239, Lake 373, and Lake 442) in northwestern Ontario, Canada. The data package includes metadata and tabular data. Metadata include a lake information table (lake names, locations, morphometric data) and an HTML information sheet that describes the data package and includes methods, a data dictionary, and references. Tabular data include: phytoplankton biomass summarized at the Division (Cyanobacteria) or Class (chlorophyceae, euglenophyceae, chrysophyceae, bacillariophyceae, cryptophyceae, dinophyceae) level of taxonomic resolution ("Group"); phytoplankton abundance and biomass at the lowest level of taxonomic resolution (usually species level); phytoplankton species codes that act as a primary key linking the previous tables to current scientific names; and the phytoplankton trophic feeding type that partitions taxa into functional feeding groups (autotrophic, heterotrophic, mixotrophic). The data package is ongoing – updated data will be provided as data are collected from these long-term reference lakes in subsequent years. If data are not present for the lake you are interested in (e.g. if the lake was part of an experiment rather than a reference lake) please get in touch with us.
North Temperate Lakes LTER: Pelagic Macroinvertebrate Summary 1983 - current (Reformatted to the ecocomDP Design Pattern)
This data package is formatted as an ecocomDP (Ecological Community Data Pattern). For more information on ecocomDP see https://github.com/EDIorg/ecocomDP. This Level 1 data package was derived from the Level 0 data package found here: https://pasta.lternet.edu/package/metadata/eml/knb-lter-ntl/14/32. The abstract below was extracted from the Level 0 data package and is included for context: This is a summary of dataset NTL 13. Derived data include the mean and standard deviation of the number of each species captured as well as the mean and standard deviation of the density of individuals on both an areal and volumetric basis. Five vertical tows are done at the deepest point of each of the seven primary lakes in the Trout Lake area (Allequash, Big Muskellunge, Crystal, Sparkling, and Trout lakes and bog lakes 27-02 [Crystal Bog], and 12-15 [Trout Bog]) using a 1-mm mesh net with a 1-m wide mouth. On Trout Lake four additional sites are sampled, where depths are approximately at 10 m, 15 m, 20 m, and 25 m respectively, with three tows done at each site. Trout Lake was the only lake sampled in 2020. All samples are taken in darkness. Samples are preserved and counted, yielding numbers caught. These night tows target the large invertebrate planktivore component of the pelagic zooplankton community. Sampling Frequency: annually Number of sites: 11
North Temperate Lakes LTER Pelagic Macroinvertebrate Abundance 1983 - current (Reformatted to the ecocomDP Design Pattern)
This data package is formatted as an ecocomDP (Ecological Community Data Pattern). For more information on ecocomDP see https://github.com/EDIorg/ecocomDP. This Level 1 data package was derived from the Level 0 data package found here: https://pasta.lternet.edu/package/metadata/eml/knb-lter-ntl/13/32. The abstract below was extracted from the Level 0 data package and is included for context: Five vertical tows are done at the deepest point of each of the seven primary lakes in the Trout Lake area (Allequash, Big Muskellunge, Crystal, Sparkling, and Trout lakes and bog lakes 27-02 [Crystal Bog], and 12-15 [Trout Bog]) using a 1-mm mesh net with a 1-m wide mouth. On Trout Lake four additional sites are sampled, where depths are approximately at 10 m, 15 m, 20 m, and 25 m respectively, with three tows done at each site. Trout Lake was the only lake sampled in 2020. All samples are taken in darkness. Samples are preserved and counted, yielding numbers caught. These night tows target the large invertebrate planktivore component of the pelagic zooplankton community. Sampling Frequency: annually Number of sites: 11
SGS-LTER Standard Production Data: 1983-2008 Annual Aboveground Net Primary Production on the Central Plains Experimental Range, Nunn, Colorado, USA 1983-2008, ARS Study Number 6 (Reformatted to the ecocomDP Design Pattern)
This data package is formatted as an ecocomDP (Ecological Community Data Pattern). For more information on ecocomDP see https://github.com/EDIorg/ecocomDP. This Level 1 data package was derived from the Level 0 data package found here: https://pasta.lternet.edu/package/metadata/eml/knb-lter-sgs/700/1. The abstract below was extracted from the Level 0 data package and is included for context: This data package was produced by researchers working on the Shortgrass Steppe Long Term Ecological Research (SGS-LTER) Project, administered at Colorado State University. Long-term datasets and background information (proposals, reports, photographs, etc.) on the SGS-LTER project are contained in a comprehensive project collection within the Digital Collections of Colorado (http://digitool.library.colostate.edu/R/?func=collections&collection_id=3429). The data table and associated metadata document, which is generated in Ecological Metadata Language, may be available through other repositories serving the ecological research community and represent components of the larger SGS-LTER project collection. The objective of the long-term ANPP study is to monitor long-term net above ground primary production of the shortgrass steppe community by species. There are 6 sites: ridgetop (ridge), midslope (mid), swale, ESA (replicate 1 not 2), Section 25 (SEC 25), and owl-creek (OC). Each site is located in a different landscape position or soil type on the shortgrass steppe and may be grazed or not. Ridgetop, midslope and swale are grazed and are sampled along a catena. Section 25 is grazed and is located in an upload grassland. ESA is an ungrazed upland grassland an is the control from the Ecosystem Stress Area experiment. Owl Creek is ungrazed and is located in the lowland along the owl creek drainage. There are 3 transects with 5 plots in each transect. Plots in the grazed locations are protected by cages. Because this is a monitoring effort, true replicates across the landscape are not
SGS-LTER Long-Term Monitoring Project: Vegetation Cover on Small Mammal Trapping Webs on the Central Plains Experimental Range, Nunn, Colorado, USA 1999 -2006, ARS Study Number 118 (Reformatted to the ecocomDP Design Pattern)
This data package is formatted as an ecocomDP (Ecological Community Data Pattern). For more information on ecocomDP see https://github.com/EDIorg/ecocomDP. This Level 1 data package was derived from the Level 0 data package found here: https://pasta.lternet.edu/package/metadata/eml/knb-lter-sgs/140/17. The abstract below was extracted from the Level 0 data package and is included for context: This data package was produced by researchers working on the Shortgrass Steppe Long Term Ecological Research (SGS-LTER) Project, administered at Colorado State University. Long-term datasets and background information (proposals, reports, photographs, etc.) on the SGS-LTER project are contained in a comprehensive project collection within the Digital Collections of Colorado (http://digitool.library.colostate.edu/R/?func=collections&collection_id=3429). The data table and associated metadata document, which is generated in Ecological Metadata Language, may be available through other repositories serving the ecological research community and represent components of the larger SGS-LTER project collection. Additional information and referenced materials can be found: http://hdl.handle.net/10217/83458. The abundance and diversity of small mammals in shortgrass steppe is strongly influenced by the structure and composition of vegetation. Vegetation structure provides cover from predators and harsh abiotic conditions. Plant species composition affects the types of seeds and herbaceous material available to granivores and herbivores, and influences arthropod populations, which are important prey for the omnivorous species that dominate in shortgrass steppe. Both vegetation structure and plant community composition are sensitive to the availability of precipitation as well as the activity of large mammalian herbivores. In 1999, we began measuring vegetation structure and plant community composition on the three grassland and three shrubland trapping webs where we live-trap small mammals
SGS-LTER Long-term Monitoring Project: Spotlight Rabbit Count on the Central Plains Experimental Range, Nunn, Colorado, USA 1994-2006, ARS Study Number 98 (Reformatted to the ecocomDP Design Pattern)
This data package is formatted as an ecocomDP (Ecological Community Data Pattern). For more information on ecocomDP see https://github.com/EDIorg/ecocomDP. This Level 1 data package was derived from the Level 0 data package found here: https://pasta.lternet.edu/package/metadata/eml/knb-lter-sgs/136/17. The abstract below was extracted from the Level 0 data package and is included for context: This data package was produced by researchers working on the Shortgrass Steppe Long Term Ecological Research (SGS-LTER) Project, administered at Colorado State University. Long-term datasets and background information (proposals, reports, photographs, etc.) on the SGS-LTER project are contained in a comprehensive project collection within the Digital Collections of Colorado (http://digitool.library.colostate.edu/R/?func=collections&collection_id=3429). The data table and associated metadata document, which is generated in Ecological Metadata Language, may be available through other repositories serving the ecological research community and represent components of the larger SGS-LTER project collection. Additional information and referenced materials can be found: http://hdl.handle.net/10217/83448. Rabbits are the most important small-mammal herbivores in shortgrass steppe, and may significant influence the physiognomy and population dynamics of herbaceous plants and woody shrubs. Rabbits also are the most important prey of mammalian carnivores such as coyotes and large raptors such as golden eagles and great horned owls. Two hares (Lepus californicus, L. townsendii) and one cottontail rabbit (Sylvilagus audubonii) occur in shortgrass steppe. In 1994, we initiated long-term studies to track changes in relative abundance of rabbits on the Central Plains Experimental Range (CPER). On four nights each year (one night each season, usually on new moon nights in January, April, July, October), we drove a 32-km route consisting of pasture two-track and gravel roads on the CPER. This wa
SGS-LTER Long-Term Montioring Project: Arthropod Pitfall Trapping on Small Mammal Trapping Webs on the Central Plains Experimental Range, Nunn, Colorado, USA 1998-2006, ARS Study Number 118 (Reformatted to the ecocomDP Design Pattern)
This data package is formatted as an ecocomDP (Ecological Community Data Pattern). For more information on ecocomDP see https://github.com/EDIorg/ecocomDP. This Level 1 data package was derived from the Level 0 data package found here: https://pasta.lternet.edu/package/metadata/eml/knb-lter-sgs/134/17. The abstract below was extracted from the Level 0 data package and is included for context: This data package was produced by researchers working on the Shortgrass Steppe Long Term Ecological Research (SGS-LTER) Project, administered at Colorado State University. Long-term datasets and background information (proposals, reports, photographs, etc.) on the SGS-LTER project are contained in a comprehensive project collection within the Digital Collections of Colorado (http://digitool.library.colostate.edu/R/?func=collections&collection_id=3429). The data table and associated metadata document, which is generated in Ecological Metadata Language, may be available through other repositories serving the ecological research community and represent components of the larger SGS-LTER project collection. Additional information and referenced materials can be found: http://hdl.handle.net/10217/83450. With the exception of heteromyids, eg kangaroo rats and pocket mice, most small rodents in shortgrass steppe are omnivorous. Depending on season, arthropods (insects and arachnids) make up 40-85% of the diet of grasshopper mice and thirteen-lined ground squirrels, the most widespread rodents in northern shortgrass steppe. Small mammals are among the most important predators of ground-dwelling macroarthropods and herbivorous insects provide a direct resource link between weather and plant production. Understanding temporal variability in the abundance of arthropods is central to determining the mechanisms that drive small rodent populations. At present, there are no long-term studies of arthropods in shortgrass steppe, despite the important role that these taxa play in grassland food w
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 (Reformatted to the ecocomDP Design Pattern)
This data package is formatted as an ecocomDP (Ecological Community Data Pattern). For more information on ecocomDP see https://github.com/EDIorg/ecocomDP. This Level 1 data package was derived from the Level 0 data package found here: https://pasta.lternet.edu/package/metadata/eml/knb-lter-sgs/137/17. The abstract below was extracted from the Level 0 data package and is included for context: This data package was produced by researchers working on the Shortgrass Steppe Long Term Ecological Research (SGS-LTER) Project, administered at Colorado State University. Long-term datasets and background information (proposals, reports, photographs, etc.) on the SGS-LTER project are contained in a comprehensive project collection within the Digital Collections of Colorado (http://digitool.library.colostate.edu/R/?func=collections&collection_id=3429). The data table and associated metadata document, which is generated in Ecological Metadata Language, may be available through other repositories serving the ecological research community and represent components of the larger SGS-LTER project collection. Additional information and referenced materials can be found: http://hdl.handle.net/10217/83452. Small mammals (rabbits, rodents) are integral components of semiarid ecosystems because of their roles as consumers of plants, seeds and arthropods, as soil disturbance agents, and as food for raptors, snakes and mammalian carnivores. Because of their vagility and intermediate trophic position, populations of small mammals may track changes in vegetation and the abiotic environment that may result from shifts in land-use and other anthropogenic disturbances. However, these populations are variable over space and time, and their response to environmental changes may not be immediately apparent given their behavioral flexibility and relatively long life-spans and generation times. Patterns in the distribution and abundance of small mammals thus may simultaneously reflect and affect the
SGS-LTER Ecosystem Stress Area - long-term density dataset following nutrient enrichment stress on the Central Plains Experimental Range in Nunn, Colorado, USA 1975-2011, ARS Study Number 3 (Reformatted to the ecocomDP Design Pattern)
This data package is formatted as an ecocomDP (Ecological Community Data Pattern). For more information on ecocomDP see https://github.com/EDIorg/ecocomDP. This Level 1 data package was derived from the Level 0 data package found here: https://pasta.lternet.edu/package/metadata/eml/knb-lter-sgs/520/8. The abstract below was extracted from the Level 0 data package and is included for context: This data package was produced by researchers working on the Shortgrass Steppe Long Term Ecological Research (SGS-LTER) Project, administered at Colorado State University. Long-term datasets and background information (proposals, reports, photographs, etc.) on the SGS-LTER project are contained in a comprehensive project collection within the Digital Collections of Colorado (http://digitool.library.colostate.edu/R/?func=collections&collection_id=3429). The data table and associated metadata document, which is generated in Ecological Metadata Language, may be available through other repositories serving the ecological research community and represent components of the larger SGS-LTER project collection. Water, nitrogen, and water-plus-nitrogen at levels beyond the range normally experience by shortgrass steppe communities were applied from 1971 through 1975, plant densities were sampled through 1977, and then sampling resumed in 1982, with sampling frequencies changing from annually to every other year. The initial sampling from 1970 to 1974 showed that the water and water plus nitrogen treatments had the strongest effect on plant community structure, both treatments increased biomass, and exotic weed species were noted on the water plus nitrogen treatment. Later sampling from 1982 to 1991 showed a ten-fold increase in exotic weed species on the water plus nitrogen plots as compared to the controls (Milchunas and Lauenroth 1995), a community change that has persisted on this site due to a chronic elevation of soil nitrogen caused by a plant tissue/soil organic matter feedback mec
SGS-LTER Ecosystem Stress Area - long-term point-frame (percent basal cover) dataset following nutrient enrichment stress on the Central Plains Experimental Range in Nunn, Colorado, USA 1982-2011, ARS Study Number 3 (Reformatted to the ecocomDP Design Pattern)
This data package is formatted as an ecocomDP (Ecological Community Data Pattern). For more information on ecocomDP see https://github.com/EDIorg/ecocomDP. This Level 1 data package was derived from the Level 0 data package found here: https://pasta.lternet.edu/package/metadata/eml/knb-lter-sgs/521/7. The abstract below was extracted from the Level 0 data package and is included for context: This data package was produced by researchers working on the Shortgrass Steppe Long Term Ecological Research (SGS-LTER) Project, administered at Colorado State University. Long-term datasets and background information (proposals, reports, photographs, etc.) on the SGS-LTER project are contained in a comprehensive project collection within the Digital Collections of Colorado (http://digitool.library.colostate.edu/R/?func=collections&collection_id=3429). The data table and associated metadata document, which is generated in Ecological Metadata Language, may be available through other repositories serving the ecological research community and represent components of the larger SGS-LTER project collection. Water, nitrogen, and water-plus-nitrogen at levels beyond the range normally experience by shortgrass steppe communities were applied from 1971 through 1975, plant densities were sampled through 1977, and then sampling resumed in 1982, with sampling frequencies changing from annually to every other year. The initial sampling from 1970 to 1974 showed that the water and water plus nitrogen treatments had the strongest effect on plant community structure, both treatments increased biomass, and exotic weed species were noted on the water plus nitrogen treatment. Later sampling from 1982 to 1991 showed a ten-fold increase in exotic weed species on the water plus nitrogen plots as compared to the controls (Milchunas and Lauenroth 1995), a community change that has persisted on this site due to a chronic elevation of soil nitrogen caused by a plant tissue/soil organic matter feedback mec
[DEPRECATED] Vegetation Plots of the Bonanza Creek LTER Control Plots: Species Count (1975 - 2004) (Reformatted to ecocomDP Design Pattern)
This ecocomDP data package has been deprecated due to issues in the L0 source dataset that prohibits the creation of an L1 ecocomDP dataset. This data package is formatted according to the "ecocomDP", a data package design pattern for ecological community surveys, and data from studies of composition and biodiversity. For more information on the ecocomDP project see https://github.com/EDIorg/ecocomDP/tree/master, or contact EDI https://environmentaldatainitiative.org. This Level 1 data package was derived from the Level 0 data package found here: https://portal.edirepository.org/nis/mapbrowse?scope=knb-lter-bnz&identifier=175&revision=20 The abstract below was extracted from the Level 0 data package and is included for context: These data are the vegetation datasets for 27 LTER sites in Bonanza Creek Experimental Forest. The 27 sites are divided into three replicates for six primary successional stages on the floodplains (3 replicates X 6 successional stages = 18 sites) and three replicates for three secondary successional stages in the uplands (3 replicates X 3 successional stages = 9 sites). Data include: 1) Visual estimates of percent cover, 2) Stem counts (the number of individuals/species), and 3) Heights (cm) for "tall shrub species" in twenty 4 m2 plots. Shrubs are considered "Tall shrubs" if they are Salix sp., Alnus sp., Rosa acicularis, Viburnum edule, Betula nana, Betula glandulosa, or Rubus idaeus. Initial colonziations plots (FP0s, SL1s, HR1A) were remeasured every year. Early successional plots were remeasured every 2-4 years. Later succesional plots were remeasured approximately every five years. For a detail schedule of plot measurements please see the file: Vegetation Monitoring Schedule.xls Although most sites were established in 1988 some sites have vegetation plots that have been sampled periodically since 1965. In 2006 shrub data collection was changed to a transect method of sampling. These data can be found in the file: <a href="http://www.lte
Plant survey data from LTER and other US grasslands
Understanding factors that influence ecological stability is a key question in ecology. Population ecology has highlighted that synchrony within a species across locations is an important indicator of species stability. Community ecology, in contrast, has highlighted that asynchrony between species within a location may enhance the stability of aggregate properties (such as total productivity). We compiled LTER and other data across 20 metacommunities in grassland and coastal marine biomes to integrate population and community approaches to synchrony to understand drivers of ecosystem stability at different scales. All datasets feature long-term (10-34 years) measurements of the primary producer community across multiple (6-49) discrete plots, with taxonomic identifications to species in most or all cases. This data package contains data from grasslands sites: Hayes, Kansas; Jasper Ridge Biological Preserve, Jornada LTER, Kellogg Biological Station LTER, Short Grass Steppe LTER, Konza Prairie LTER, Cedar Creek LTER and Sevilleta LTER.
ScienceDex guides
Understand access before you commit
These curated guides explain access requirements, typical timelines, costs, and reuse considerations for widely used research datasets.
Allen Brain Atlas
Allen Brain Atlas is an Allen Institute collection of brain map atlases, datasets, APIs, and analysis tools covering mouse, human, and non-human primate brain resources.
Annotated Behaviour and Observability Dataset (ABODe)
ABODe is a University of Edinburgh DataShare dataset for behavior classification in group-housed mice using home-cage video, identities, bounding boxes, ground-plate positions, and annotator labels.
DANDI Archive for NWB datasets
DANDI is a BRAIN Initiative archive for publishing and sharing neurophysiology data, including electrophysiology, optophysiology, and behavioral data packaged as NWB and related standards.
International Brain Laboratory public data
The International Brain Laboratory public data releases expose standardized mouse decision-making experiments, including Neuropixels recordings, widefield calcium imaging, behavior, and session metadata accessed through the ONE API.
OpenNeuro
OpenNeuro is a free, open platform for sharing neuroimaging datasets, with public search, dataset pages, and download paths for web, S3, DataLad, and the OpenNeuro CLI.