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Long-term Hydrographic Mooring Data from the Georgia Coastal Ecosystems LTER Salinity Monitoring Program - Primary 30 Minute Observational Data
Conductivity, temperature and sub-surface water pressure were measured continuously at fixed hydrographic moorings distributed across the Georgia Coastal Ecosystems LTER study area to document spatial and temporal variability of salinity and its relationship to water level and river discharge. Mooring locations were chosen to span the salinity gradient as well as to take advantage of existing physical infrastructure (e.g. docks or pilings) for mounting instruments and proximity to marsh study sites. Eight moorings were established between 2001 and 2003 to characterize salinity patterns in the three primary sounds in the GCE domain (Sapelo, Doboy and Altamaha), and a ninth mooring was added near a freshwater tidal forest along the Altamaha River in 2014. Observations were logged at 30 minute intervals by Sea-Bird Electronics MicroCAT 37-SM data loggers and downloaded approximately quarterly. Salinity, depth and sigma-t (density anomaly) were calculated from the measured parameters using standard UNESCO algorithms, and short-duration gaps (<6 hours) due to instrument swaps, quality control analysis or brief data interruptions were filled by interpolation. Long-duration gaps due to instrument or mooring loss were filled with null values to produce a monotonic time series. This data set includes cumulative 30 minute observations at all 9 moorings through 31-Dec-2022, and will be updated annually to include observations from the prior year.
Long-term Hydrographic Mooring Data from the Georgia Coastal Ecosystems LTER Salinity Monitoring Program - Daily Summarized Data
Conductivity, temperature and sub-surface water pressure were measured continuously at fixed hydrographic moorings distributed across the Georgia Coastal Ecosystems LTER study area to document spatial and temporal variability of salinity and its relationship to water level and river discharge. Mooring locations were chosen to span the salinity gradient as well as to take advantage of existing physical infrastructure (e.g. docks or pilings) for mounting instruments and proximity to marsh study sites. Eight moorings were established between 2001 and 2003 to characterize salinity patterns in the three primary sounds in the GCE domain (Sapelo, Doboy and Altamaha), and a ninth mooring was added near a freshwater tidal forest along the Altamaha River in 2014. Observations were logged at 30 minute intervals by Sea-Bird Electronics MicroCAT 37-SM data loggers and downloaded approximately quarterly. Salinity, depth and sigma-t (density anomaly) were calculated from the measured parameters using standard UNESCO algorithms, and short-duration gaps (<6 hours) due to instrument swaps, quality control analysis or brief data interruptions were filled by interpolation. Long-duration gaps due to instrument or mooring loss were filled with null values to produce a monotonic time series. Values flagged as invalid were then removed and interpolated up to 6 hours, and daily-summarized values were calculated by statistical aggregation. This data set includes the daily-summarized data at all 9 moorings through 31-Dec-2022, and will be updated annually to include observations from the prior year.
Long-term Mollusc Population Abundance and Size Data from the Georgia Coastal Ecosystems LTER Fall Marsh Monitoring Program
This data set includes long-term observational data on mollusc species abundance and size distribution at 10 Georgia Coastal Ecosystems marsh sites used for annual plant and invertebrate population monitoring. Infaunal and epifaunal molluscs were hand-collected from within quadrats of known area in mid-marsh and creekbank zones (n = 4 quadrats per zone) at all sites annually in October. Molluscs were also collected from an additional high marsh Juncus zone (n = 4 quadrats) at several sites beginning in 2009. The molluscs were returned to the lab, preserved in ethanol, identified and counted to determine species abundance and density in each plot. The length of each measurable individual was then determined using calipers or an ocular micrometer mounted in a stereomicroscope to determine mollusc size. Population abundance and size measurement data are reported separately by site, zone, plot and species because analyses were performed at different times, specimens were not individually identifiable, and not all individuals were measureable. This data set includes cumulative long-term observations from 2000 to 2022, and will be updated annually to include the prior year observations.
Long-term Burrowing Crab Population Abundance Data from the Georgia Coastal Ecosystems LTER Fall Marsh Monitoring Program
This data set includes long-term observational data on burrowing crab abundance at 10 Georgia Coastal Ecosystems marsh sites used for annual plant and invertebrate population monitoring. Crab abundance was determined by performing surveys of crab hole occurance within replicate 625 square centimeter quadrats and converting the counts to number per square meter. Surveys were performed annually during October within the mid-marsh and creek bank zones at GCE marsh study sites 1 through 10 (i.e. n = 4 per zone at each site). Surveys were also performed in an additional high marsh Juncus zone at several sites beginning in 2009 (i.e. n = 4 quadrats per site). Note that this census method does not differentiate which species made a particular hole and therefore only estimates total burrowing crab abundance, potentially including species Uca pugnax, Uca minax, Uca pugilator, Armases cinereum, Eurytium limosum, Sesarma reticulatum and Panopeus spp. Crab holes that are not actively maintained are quickly covered by tidal activity and other sediment disturbances, therefore plugged holes were assumed to be unoccupied and excluded from the counts. This data set includes cumulative observations from 2000 to 2023, and will be updated annually to include the prior year observations.
Long-term Barnacle Settlement Near Creekbank Plots from the Georgia Coastal Ecosystems LTER Fall Marsh Monitoring Program
This data set includes long-term observational data on barnacle recruitment at the creekbank, and across a gradient in salinity and distance to ocean. PVC poles were deployed to passively sample barnacle settlement. Eight poles were deployed between 4-5 meters apart adjacent to the creekbank vegetation monitoring plots at each GCE LTER permanent monitoring site each Fall beginning in 2012. These poles were then collected the following Fall and all barnacle that settled on the poles were identified and counted on 50cm-long sections of the 8, 3/4" diameter PVC poles. Although a few other barnacle species occur within this estuary, only two species settled on poles: Chthamalus fragilis and Balanus spp. Beginning in 2018, Geukensia dimissa and Oysters (Crassostrea virginica) that settled on the poles were also counted and recorded. This data set includes observations from 2013 to 2023 and will be updated annually to include the prior year observations.
Long-term adult and juvenile periwinkle snail (Littoraria irrorata) density in mid-marsh and creekbank plots from the Georgia Coastal Ecosystems LTER Fall Monitoring Program
This data set includes long-term observation of the abundance of periwinkle snail (Littoraria irrorata) at sampling sites within the Georgia Coastal Ecosystem (GCE) LTER study area. Visual counts of adult Littoraria were conducted within 0.5m x 0.5m quadrats in-line with permanent GCE vegetation plots. Juvenile Littoraria (1-4mm shell length) were found and counted by looking inside all leaf furls within a nested quadrat (0.25m x 0.25m). In each marsh zone at each GCE LTER permanent monitoring site, we counted the number of adult and juvenile snails in 8 creekbank and 12 mid-marsh replicate quadrats. This method was started in 2012 as a new part of the annual GCE monitoring and supplements the invertebrate data that has been collected since October 2000. This data set includes observations from 2012 to 2023 and will be updated annually to include the prior year observations.
Harvard Forest Summer Research Program in Ecology URSSA Survey since 2006
Program Context Since its inception in 1985, when a single undergraduate worked on a study of old-growth forests, the Harvard Forest Summer Research Program in Ecology (HF-SRPE) has developed into a thriving and well-coordinated program that is central to the educational and research mission of the biological field station. With core support since 1993 from a succession of NSF REU Site awards and NSF REU supplements, and with additional funding from Harvard University, HF-SRPE has grown to support 20-30 undergraduate students annually. Students are mentored by principle investigators and senior scientists in conducting research in ecology, soil science, paleoecology, wildlife biology, conservation biology, and atmospheric sciences. The research conducted by our HF-SRPE students contributes substantially to long-term scientific investigations supported by NSF’s Long-Term Ecological Research (LTER) and National Ecological Observatory Network (NEON), NASA Earth System Science Pathfinder (ESSP) – Earth Ventures (EV) programs, The Smithsonian Institution’s ForestGEO network of plots, and Department of Energy’s (DOE) National Institute for Global Environmental Change (NIGEC). The overarching objectives of the program are to: enhance the ability of students to undertake high-quality interdisciplinary research; build teams of researchers in which students bring different strengths to the table, collaborate on cutting-edge projects, and find their own intellectual “voice”; encourage students to link fundamental and applied issues in their research; and cultivate the next generation of ecological scientists and educators that reflects the diversity of backgrounds and experiences of students in the United States. Problem Statement Starting in 2005 the National Science Foundation (NSF), as one of the largest funders of undergraduate research programs, began emphasizing the use of project evaluations to both qualitatively and quantitatively measure the success of REU programs (R
Harvard Forest Summer Research Program in Ecology Student Surveys 2016-2021
Program Context Since its inception in 1985, when a single undergraduate worked on a study of old-growth forests, the Harvard Forest Summer Research Program in Ecology (HF-SRPE) has developed into a thriving and well-coordinated program that is central to the educational and research mission of the biological field station. With core support since 1993 from a succession of NSF REU Site awards and NSF REU supplements, and with additional funding from Harvard University, HF-SRPE has grown to support 20-30 undergraduate students annually. Students are mentored by principle investigators and senior scientists in conducting research in ecology, soil science, paleoecology, wildlife biology, conservation biology, and atmospheric sciences. The research conducted by our HF-SRPE students contributes substantially to long-term scientific investigations supported by NSF’s Long-Term Ecological Research (LTER) and National Ecological Observatory Network (NEON), NASA Earth System Science Pathfinder (ESSP) – Earth Ventures (EV) programs, The Smithsonian Institution’s ForestGEO network of plots, and Department of Energy’s (DOE) National Institute for Global Environmental Change (NIGEC). The overarching objectives of the program are to: enhance the ability of students to undertake high-quality interdisciplinary research; build teams of researchers in which students bring different strengths to the table, collaborate on cutting-edge projects, and find their own intellectual “voice”; encourage students to link fundamental and applied issues in their research; and cultivate the next generation of ecological scientists and educators that reflects the diversity of backgrounds and experiences of students in the United States. Problem Statement Starting in 2005 the National Science Foundation (NSF), as one of the largest funders of undergraduate research programs, began emphasizing the use of project evaluations to both qualitatively and quantitatively measure the success of REU programs (R
Interagency Ecological Program: Integrated Dataset of Phytoplankton Enumeration Data in the San Francisco Estuary, 1992-2024
Phytoplankton community composition is an important driver of zooplankton productivity and food supply for higher trophic levels in the San Francisco Estuary. Various monitoring surveys throughout the region collect phytoplankton enumeration data dating back to the 1990s. These include surveys from the CA Department of Water Resources (CADWR), CA Department of Fish and Wildlife (CDFW), the US Bureau of Reclamation (USBR), and the US Geological Survey (USGS). These surveys collect data via various sampling and laboratory methods which are not always directly comparable. This integrated dataset includes both enumeration counts and well-documented metadata to allow for informed decision-making in the integration of these data. It also standardizes taxonomic names between groups via a key list. Note that, in this dataset, we make conservative decisions about taxonomic resolution to ensure maximum compatibility between groups. For more detailed metadata and higher taxonomic resolution, refer to individual surveys’ publications or reach out to their primary contact.
Interagency Ecological Program Zooplankton Study
The Zooplankton Study was implemented in 1972 to assess food resources available to fish in the upper San Francisco Estuary (SFE). Mandated by the State Water Resources Control Board's Water Right Decision D-1641, the study is conducted jointly by the California Department of Fish and Wildlife and the California Department of Water Resources under the guidance and management of the Interagency Ecological Program. For over five decades, this study has monitored the zooplankton community in the region, tracking abundance trends and distributional patterns, detecting and monitoring introduced species, and documenting changes in community composition. The Zooplankton Study uses three gear types to sample macro-, meso-, and micro-zooplankton across the upper SFE on a monthly basis.
Ice, water, and sediment pigment concentrations from Beaufort Sea lagoons core program stations, 2023-24
Bottom ice (< 20 cm), water column, and undisturbed surface sediment samples from the Beaufort Lagoon Ecosystem Long Term Ecological Research programs were collected, in tandem, from core program sites in ice-cover (~April), ice break-up (~June), and open water (~August) seasons of 2023, and ice-cover 2024, to quantify algal pigment concentrations and variations in an annual cycle. We also ran historical samples from 2021 sampling seasons. This data can be used with analysis programs such as CHEMTAX or PhytoClass to elucidate microalgal community structure. Fourteen pigments were measured, including chlorophyll a, fucoxanthin, zeaxanthin, alloxanthin, peridinin, prasinoxanthin, lutein, chlorophyll c<sub>3</sub>, 19-hexanoyloxyfucoxanthin, and 19-butanoyloxyfucoxanthin. Phaeopigments (pheophytin, pheophorbide, and chlorophyllide a) were also included in these analyses. For sediment samples, the values of chlorophyll a, fucoxanthin, zeaxanthin, alloxanthin, peridinin, pheophytin, pheophorbide, and chlorophyllide a can be found in the core program pigment dataset, which is a continuously collected data set (<a href="https://doi.org/10.6073/pasta/5294f45c9c7287903078926a487f1fd7" style="text-decoration: underline;">Sediment pigment concentrations</a>). Pigment concentrations were measured using high-precision liquid chromatography (HPLC). Concentrations are represented as μg L<sup>-1</sup> for both ice and water column samples, and as μg g<sup>-1</sup> for sediment samples.
Harvard Forest Summer Research Program in Ecology Pre/Post Survey 2006-2015
Program Context Since its inception in 1985, when a single undergraduate worked on a study of old-growth forests, the Harvard Forest Summer Research Program in Ecology (HF-SRPE) has developed into a thriving and well-coordinated program that is central to the educational and research mission of the biological field station. With core support since 1993 from a succession of NSF REU Site awards and NSF REU supplements, and with additional funding from Harvard University, HF-SRPE has grown to support 20-30 undergraduate students annually. Students are mentored by principle investigators and senior scientists in conducting research in ecology, soil science, paleoecology, wildlife biology, conservation biology, and atmospheric sciences. The research conducted by our HF-SRPE students contributes substantially to long-term scientific investigations supported by NSF’s Long-Term Ecological Research (LTER) and National Ecological Observatory Network (NEON), NASA Earth System Science Pathfinder (ESSP) – Earth Ventures (EV) programs, The Smithsonian Institution’s ForestGEO network of plots, and Department of Energy’s (DOE) National Institute for Global Environmental Change (NIGEC). The overarching objectives of the program are to: enhance the ability of students to undertake high-quality interdisciplinary research; build teams of researchers in which students bring different strengths to the table, collaborate on cutting-edge projects, and find their own intellectual “voice”; encourage students to link fundamental and applied issues in their research; and cultivate the next generation of ecological scientists and educators that reflects the diversity of backgrounds and experiences of students in the United States. Problem Statement Starting in 2005 the National Science Foundation (NSF), as one of the largest funders of undergraduate research programs, began emphasizing the use of project evaluations to both qualitatively and quantitatively measure the success of REU programs (R
Harvard Forest Summer Research Program in Ecology Alumni Survey 2013-2015
Program Context Since its inception in 1985, when a single undergraduate worked on a study of old-growth forests, the Harvard Forest Summer Research Program in Ecology (HF-SRPE) has developed into a thriving and well-coordinated program that is central to the educational and research mission of the biological field station. With core support since 1993 from a succession of NSF REU Site awards and NSF REU supplements, and with additional funding from Harvard University, HF-SRPE has grown to support 20-30 undergraduate students annually. Students are mentored by principle investigators and senior scientists in conducting research in ecology, soil science, paleoecology, wildlife biology, conservation biology, and atmospheric sciences. The research conducted by our HF-SRPE students contributes substantially to long-term scientific investigations supported by NSF’s Long-Term Ecological Research (LTER) and National Ecological Observatory Network (NEON), NASA Earth System Science Pathfinder (ESSP) – Earth Ventures (EV) programs, The Smithsonian Institution’s ForestGEO network of plots, and Department of Energy’s (DOE) National Institute for Global Environmental Change (NIGEC). The overarching objectives of the program are to: enhance the ability of students to undertake high-quality interdisciplinary research; build teams of researchers in which students bring different strengths to the table, collaborate on cutting-edge projects, and find their own intellectual “voice”; encourage students to link fundamental and applied issues in their research; and cultivate the next generation of ecological scientists and educators that reflects the diversity of backgrounds and experiences of students in the United States. Problem Statement Starting in 2005 the National Science Foundation (NSF), as one of the largest funders of undergraduate research programs, began emphasizing the use of project evaluations to both qualitatively and quantitatively measure the success of REU programs (R
FAO and SAGARPA. (2012). Baseline of the Natural Resources Sustainability Program. Sustainable Land Use Subindex - Calculation Methodology. Mexico City (53 pp.) (FAO y SAGARPA. (2012). Línea de Base del Programa de Sustentabilidad de los Recursos Naturales. Subíndice de Uso Sustentable del Suelo - Metodología de Cálculo (53 pág.). Ciudad de México)
The lack of soil data is a complication that most soil scientists will encounter throughout their career; this critical aspect is exacerbated due to the excessive cost of soil surveying. Consequently, it is essential to develop strategies that guarantee the permanent accessibility of past soil sampling efforts. The main objective of this contribution is to release an entire dataset of soil samples surveyed by the Secretary of Agriculture, Livestock, Rural Development, Fisheries, and Food (SAGARPA) in collaboration with the Food and Agriculture Organization of the United Nations (FAO) in the year 2012, the dataset consists of more that 4000 compound samples surveyed on managed cropland. SAGARPAS's main objective was to generate a new index to assess and monitor the current and future state of soil when sustainable soil practices take place. A complete set of physicochemical properties were determined via laboratory analysis for all record in the dataset, namely: pH, EC, OM, BD, P, Sand, Silt, Clay, Texture, N, K, Ca, Mg, Na, CEC, Sodium Adsorption Ratio (SAR), Exchangeable Sodium Percentage (ESP), including the calculation of the Sustainable Soil Land Use Subindex (SSLUS). We presented a reviewed dataset with the potential to contribute to a large variety of studies, ranging from: agricultural pinpointing of the best conditions for crop production to digital soil mapping and modeling and agronomical studies. We also provide the original report on the developement of the dataset, indicating the names of creators and colaborators, as well as the methods of analysis and interpretation of the results. The new information is appealing for a wide diversity of users interested in soil traits across agricultural systems of Mexico.
H2Ohio Wetland Monitoring Program Surface Water and Soil Nutrient Content from Wetlands across Ohio, USA (2021–2022).
This data package contains surface water and soil nutrient concentration datasets from wetland projects across Ohio, USA monitored by the H2Ohio Wetland Monitoring Program. Monitoring began in May 2021 and is ongoing. This data package will be updated yearly. In general, surface water samples are collected to measure concentrations of major nutrients, including inorganic nitrogen, ammonium-nitrogen, total nitrogen, dissolved reactive phosphorus, and total phosphorus. Sampling from major inflows and outflows is prioritized at flow-through wetland projects to support the calculation of nutrient filtration estimates using mass balance approaches. Surface water samples may also be collected from representative zones or hydrologic features with sufficient standing water (i.e., vernal pools, vegetated areas, interconnected smaller pond-like areas, etc.) to assess nutrient conditions and processes within the wetland system. The majority of surface water sampling (~monthly) occurs from March through December, with opportunistic sampling in January and February. Every effort is made to collect samples during hydrologic events (i.e., storms) as well as baseflow conditions. Concurrent with surface water sampling, hand-held multiparameter sensors are used to measure snapshots of physicochemical characteristics including dissolved oxygen, temperature, specific conductance, turbidity, and pH. Soil samples (0-5 cm) are collected in saturated and unsaturated zones at each identified soil "patch" determined from expert opinion, soil maps (Natural Resources Conservation Service), and/or hydrogeophysical assessment. Additionally, soil samples may be collected along major visible hydrologic or elevation gradients. Soil sampling occurs 1-3 times a year in select wetland projects.
H2Ohio Wetland Monitoring Program Vegetation Community Composition, Biomass, and Nutrient Content across Ohio, USA (2021-2022)
This data package includes vegetation community composition, percent cover, biomass, and nutrient concentration data from wetland projects across Ohio, USA, monitored by the H2Ohio Wetland Monitoring Program. Monitoring began in July 2021 and is ongoing, with annual updates planned. While data collection varies by site, most wetlands are surveyed to characterize vegetation and estimate nutrient stocks through community composition assessments and biomass sampling. Sampling points are randomly generated within and up to 5 meters outside the approximated wetland boundary. Surveys are conducted at points where wetland species (FAC–OBL) are present using a 1×1 meter quadrat to record species composition and percent cover. At approximately half of these locations, a 0.25×0.25 meter quadrat is placed outside the northeast corner to collect vegetation samples for nutrient analysis. In these smaller quadrats, community composition and percent cover are recorded prior to sampling aboveground biomass and, at approximately one third of those sites, belowground biomass. Datasets collected by the H2Ohio Wetland Monitoring Program containing surface water and soil nutrient concentration from samples collected at Ohio wetlands during the 2021–2022 sampling period can be found in an accompanying data package (edi.2087) at https://doi.org/10.6073/pasta/297bd6d93b4fcc8416e4225834db380e.
Interagency Ecological Program and US Fish and Wildlife Service: San Francisco Estuary Enhanced Delta Smelt Monitoring Program Data, 2016-2024
The Enhanced Delta Smelt Monitoring Program (EDSM) was initiated by the U.S. Fish and Wildlife Service in 2016. The main purpose of EDSM is to provide information about endemic Delta Smelt (Hypomesus transpacificus) population sizes and distributions within the upper San Francisco Estuary. To track the life cycle of this annual species, larval trawling with a fine-mesh (20 mm) net is conducted during the spring months, and Kodiak trawling for juveniles and adults occurs during the summer, fall, and winter months. Sampling sites are chosen via a stratified random sampling design. A minimum of two tows are conducted at each site, and field staff typically sample between 18 and 41 sites weekly. All fish collected are identified and enumerated, and a subset are measured for body length. Environmental data (water temperature, conductivity, dissolved oxygen, turbidity, depth) are also measured. In addition to Hypomesus spp., this long-term monitoring dataset can also be useful in evaluating the status and trends of other species of interest, especially pelagic fishes. For more information: https://www.fws.gov/office/lodi-fish-and-wildlife
Interagency Ecological Program: Zooplankton abundance in the Upper San Francisco Estuary from 1972-2021, an integration of 7 long-term monitoring programs
The upper San Francisco Estuary is an inland inverse delta formed by the confluence of 5 major rivers that drain 40% of the land in California (USA). It is a central hub of water delivery in California and home to a number of commercially important and endangered fish, such as Chinook Salmon, Green Sturgeon, and Delta Smelt. To monitor the environmental impacts of water exports from this system, extensive ecological monitoring has been conducted since the 1960s. To track lower trophic levels, zooplankton abundance has been monitored from 1972 to present. Starting with just one survey (the CA Department of Water Resources’ [CDWR] and California Department of Fish and Wildlife’s [CDFW] Environmental Monitoring Program) in 1972, the suite of zooplankton surveys gradually expanded with time. Several surveys traditionally focused on monitoring fish abundance added zooplankton nets to their sampling programs. The CDFW 20-mm larval fish survey added zooplankton sampling in 1995, the CDWR Yolo Bypass Fish Monitoring Program add zooplankton in 1999, the CDFW Summer Townet Survey added zooplankton in 2005, and the Fall Midwater Trawl added zooplankton in 2007. Two new sampling programs, the Fish Restoration Program and Directed Outflow Project, began in 2015 and 2017, respectively. All sampling programs continue today. Each survey samples once or twice monthly at set of fixed or random stations that varies across surveys depending on their objectives. While the Environmental Monitoring Program samples year-round, the other surveys are mostly seasonal, although additional months were sampled in some years. Most surveys target open channels although the Fish Restoration Program samples in or near shallow tidal wetlands. Three size classes of zooplankton are targeted by these sampling programs with different net mesh sizes: micro zooplankton (copepods and rotifers) are targeted with a 43 µm mesh net, meso zooplankton (copepods and cladocerans) are targeted with 150 - 160 µm mesh
Gender and ethnic diversity of members of US university natural resource program external advisory board members, 2017-2022
This dataset contains deidentified demographics information for the members of external advisory boards that serve university natural resource programs. Data collected in 2017 and 2022 represents a sample of land-grant, National Association of University Forestry Program-affiliated, TIMES-ranked universities and colleges. Each row represents a member of an advisory board. Data collection was completed in two years: 2017 and 2022. Data was collected from department webpages and lists of advisory board members provided by department personnel. As needed, information was augmented through internet searches for public LinkedIn pages, organizational pages, local news stories, etc. Data include a unique respondent ID, a code for the university they are from, their employer affiliation (e.g., NGO, federal government, NR business, etc.) and their gender and ethnicity measured as binary variables.
Normalized Difference Vegetation Index (NDVI) derived from 2019 National Agriculture Imagery Program (NAIP) data for the central Arizona region
This project calculates two vegetation indices—Normalized Difference Vegetation Index (NDVI) and Soil Adjusted Vegetation Index (SAVI) from the National Agriculture Imagery Program (NAIP) remotely sensed imagery. The intent is to make remotely sensed variables and visualizations accessible to stakeholders and researchers studying the Phoenix metropolitan area. NDVI and SAVI are calculated from the 2019 NAIP imagery (1m resolution). This dataset extends the 2010, 2013, 2015, and 2017 NDVI and SAVI products derived from NAIP imagery (also 1m resolution). All images are cropped to the CAP study area boundary.
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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.