The EDI Data Portal contains environmental and ecological data packages contributed by a number of participating organizations. Data providers make every effort to release data in a timely fashion and with attention to accurate, well-designed and well-documented data. To understand data fully, please read the associated metadata and contact data providers if you have any questions. Data may be used in a manner conforming with the license information found in the “Intellectual Rights” section of the data package metadata or defaults to the EDI Data Policy. The Environmental Data Initiative shall not be liable for any damages resulting from misinterpretation or misuse of the data or metadata.

An increasing population in conjunction with a changing climate necessitates a detailed understanding of water abundance at multiple spatial and temporal scales. Remote sensing has provided massive data volumes to track fluctuations in water quantity, yet contextualizing water abundance with other local, regional, and global trends remains challenging by often requiring large computational resources to combine multiple data sources into analytically-friendly formats. To bridge this gap and facilitate future freshwater research opportunities, we harmonized existing global datasets to create the Global Lake area, Climate, and Population (GLCP) dataset. The GLCP is a compilation of lake surface area for 1.42+ million lakes and reservoirs of at least 10 ha in size from 1995 to 2015 with co-located basin-level temperature, precipitation, and population data. The GLCP was created with FAIR (findable, accessible, interoperable, reusable) data principles in mind and retains unique identifiers from parent datasets to expedite interoperability. The GLCP offers critical data for basic and applied investigations of lake surface area, and water quantity, at local, regional, and global scales.

This project measure tree size parameters four times a year at 51 sites throughout the Phoenix, Arizona metropholitan area. Rapid SPAD measurements are made once a year and can be correlated to chlorophyll content of the leaves.

Lake surface temperatures are steadily increasing. DO responds to temperature through multiple mechanisms, suggesting that DO in lakes should be responding to changing water temperatures. To determine whether and how DO is changing in temperate lakes, we collected and analyzed 22,983 temperature and dissolved oxygen profiles from approximately 400 mostly temperate zone lakes. Here, we present resulting derived statistics from this analysis. These statistics include mean summer epilimnetic temperature and DO, hypolimnetic temperature and DO, Secchi depth, chlorophyll a, as well as select meteorological variables such as mean summer air temperature and wind speed.

This dataset reports concentrations of 6 target trace metals (copper, zinc, nickel, lead, chromium, and selenium) in unfiltered water, emergent aquatic adult insects (by family), biofilm mats (predominately algae), and tree roots submerged under stream water. Biological and water samples were collected from three streams in the Piedmont region of North Carolina, USA: a wastewater dominated site (Ellerbe Creek, near the USGS gage at Glen Road ), a stormwater dominated site (Ellerbe Creek, near the USGS gage on Club Blvd), and a stream draining a predominately forested watershed (New Hope Creek, near a StreamPULSE site at Hollow Rock Preserve). This data was submitted for publication in a manuscript that explores how metals are transported by aquatic emergent insects from stream ecosystems into terrestrial food webs.

This dataset contains Hospital Supplier Diversity Plans.

As outlined in Health and Safety Code Section 1339.85-1339.87, licensed hospitals with operating expenses of fifty million dollars ($50,000,000) or more, and each licensed hospital with operating expenses of twenty-five million dollars ($25,000,000) or more that is part of a hospital system, shall submit an annual report to the department on its minority, women, LGBT, and disabled veteran business enterprise procurement efforts during the previous year.

Details on reporting requirements can be found in Section 1339.87.

For more on Hospital Supplier Diversity Plans.

Data notes: The information contained in a hospital’s plan on minority, women, LGBT, and disabled veteran business enterprises is provided for informational purposes only.

Suppliers are not required to disclose the above information to hospitals, and therefore not all diverse spending will be accurately identified.

"This dataset includes presence/absence of plant species recorded in residential yards and nearby natural and interstitial areas (i.e.unmanaged vegetation areas in the residential/wildland interface) in six cities across the U.S. Baltimore, MD, Boston, MA, Los Angeles, CA, Miami, FL, Minneapolis-St. Paul, MN, and Phoenix, AZ. Yards were grouped in 4 categories based on fertilizer input frequency, landscaping style and their impact on hydrology: high-input lawns, low-input lawns, wildlife-certified yards and yards with low impact on hydrology (or rain gardens)."

Application types: Employee Portal, Customer Portal, Supplier Portal Deployment models: On-premise, Cloud-based, Hybrid

Report Coverage & Deliverables Market Segmentation:

Application: BFSI, Government, Healthcare, Retail, IT & Telecommunication Type: Employee Portal, Customer Portal, Supplier Portal Region: North America, Europe, Asia-Pacific, Latin America, Middle East & Africa

Each Segment Outlook:

BFSI: Strong demand due to regulatory compliance and data security needs. Government: Focus on transparency, accessibility, and citizen engagement. Healthcare: Increased need for secure patient information management and collaboration. Retail: Emphasis on customer loyalty, personalization, and omnichannel experiences. IT & Telecommunication: EIPs enable seamless communication, project management, and knowledge sharing. Employee Portal: Provides employees with personalized access to company information and tools. Customer Portal: Enhances customer engagement, self-service, and feedback mechanisms. Supplier Portal: Streamlines collaboration, communication, and vendor management processes.

Enterprise Information Portal (EIP) Regional Insights

North America: Dominant market due to early adoption and high IT investments. Europe: Growing market with stringent data privacy regulations driving innovation. Asia-Pacific: Rapidly growing region due to increasing enterprise digitization. Latin America: Emerging market with potential for substantial growth. Middle East & Africa: Growing adoption due to government initiatives and infrastructure development.

Enterprise Information Portal (EIP) Trends

Integration of emerging technologies (AI, ML) Focus on user experience and personalization Cloud-based and mobile-first approaches Collaboration and social networking features

Driving Forces: What's Propelling the Enterprise Information Portal (EIP)

Digital transformation initiatives Need for data consolidation and centralized access Compliance and risk management Collaboration and knowledge sharing Customer and employee engagement

Challenges and Restraints in Enterprise Information Portal (EIP)

Integration and interoperability issues Data security and privacy concerns Lack of skilled IT professionals Resistance from traditionalists

Emerging Trends in Enterprise Information Portal (EIP)

Conversational EIPs with AI chatbots Cognitive and predictive analytics Blockchain-based EIPs for secure data sharing Gamification to enhance engagement

Growth Catalysts in Enterprise Information Portal (EIP) Industry

Increasing need for centralized information access Government regulations and compliance Cloud adoption and mobility Artificial intelligence and automation

Leading Players in the Enterprise Information Portal (EIP)

IBM (Red Hat) Microsoft SAP Unicon Sumerge Software Solutions Liferay Sitecore Iflexion Tata Consultancy Services Infosys HCL Technologies Accenture Teamspace

Significant Developments in Enterprise Information Portal (EIP) Sector

Acquisitions and partnerships to expand product offerings Integration of AI and machine learning for enhanced intelligence Cloud-based EIP services gaining popularity Increased focus on user experience and personalization

This dataset contains an inventory for the paper entitled "ecocomDP: A flexible data design pattern for ecological community survey data" (O'Brien et al), submitted to Ecological Informatics. The paper describes an approach for harmonizing and reformatting community survey data such as organism abundance or cover measurements. Data currently using this data model and workflow approach are from the repository of the Environmental Data Initiative (EDI), the Long Term Ecological Research (LTER) Network, and the National Ecological Observatory Network (NEON). Data were assembled for this analysis in late 2020. The inventory is composed of two tables, describing data from EDI (including LTER) and data from NEON. The EDI inventory includes information for 70 datasets: identifiers for both the original and converted datasets, and basic coverage information such as temporal coverage (range of years and a measurement of sampling evenness), spatial coverage (maximum bounding coordinates and area of the "bounding box"), and taxonomic coverage (taxonomic classes). The NEON inventory contains information from 11 continent-wide NEON data products, divided into individual field sites to be more spatially compatible with EDI and LTER data. Taxonomic coverage is by group (e.g., algae, birds) rather than explicit taxonomic classes. Spatial coverage is the area of a field sampling site polygon. Temporal coverage includes the same minimum and maximum sampling years and temporal evenness measures as for the EDI data plus a count of months during that period when sampling occurred. At the time of data download, NEON data was considered provisional, however identifiers are persistent and now deliver final, "released" data.

 Also included in the data package is a script to reformat inventory data and create Figure 3 of the paper.

Stomatal density and length were measured on leaves of sugar maple (Acer sacharrum Marsh.) and yellow birch (Betula alleghaniensis Britton.) trees in New Hampshire at the Bartlett Experimental Forest, Hubbard Brook Experimental Forest, and Jeffers Brook as part of the Multiple Elementation Limitation in Northern Hardwood Ecosystems (MELNHE) study. Leaves were collected in late July and early August in 2021 and 2022 from the tops of dominant and codominant trees using a shotgun. These measurements were made on 3 leaves from each tree. These data correspond with other foliar trait data collected from the same trees in 2021 and 2022. That EDI package is as follows: Hong, S.D., K.E. Gonzales, C.R. See, and R.D. Yanai. 2021. MELNHE: Foliar Chemistry 2008-2016 in Bartlett, Hubbard Brook, and Jeffers Brook (12 stands) ver 1. Environmental Data Initiative. https://doi.org/10.6073/pasta/b23deb8e1ccf1c1413382bf911c6be19 This data package contains the raw images underlying the data reported in a separate data package on stomatal density and length: https://portal.edirepository.org/nis/mapbrowse?scope=knb-lter-hbr&identifier=372 These data were gathered as part of the Hubbard Brook Ecosystem Study (HBES). The HBES is a collaborative effort at the Hubbard Brook Experimental Forest, which is operated and maintained by the USDA Forest Service, Northern Research Station.

This package provides necessary supporting data and models for the manuscript titled "Divergent metabolism estimates from dissolved oxygen and inorganic carbon: implications for river carbon cycling". The entire dataset consists of sensor data collected at three reaches and metabolism estimates from different models. The sensor data include partial pressure of carbon dioxide in water, dissolved oxygen and temperature. At each reach, we established a two station approach, meaning at least one pair of sensor suits were distributed upstream and downstream. Results for metabolism estimates differ by solutes (i.e., oxygen or carbon based) and modelling approaches (i.e., single station or two station approach). In addition to data products, we also provide R packages for metabolism models.

Soil element concentrations (Na, Mg, K, Ca, Al, Mn, Fe, Si, Sr, and Ba) were measured in salt exchangeable extracts of soil samples taken in July 2017 in the MELNHE study, specifically in Bartlett stands C1-C9 and Hubbard Brook stands HBM and HBO.

Additional detail on the MELNHE project, including a datatable of site descriptions and a pdf file with the project description and diagram of plot configuration can be found in this data package: https://portal.edirepository.org/nis/mapbrowse?scope=knb-lter-hbr&identifier=344.

Additional analysis data on these samples can be found in the dataset "Soil properties in the MELNHE study at Hubbard Brook Experimental Forest, Bartlett Experimental Forest and Jeffers Brook, central NH USA, 2009 - present" (https://portal.edirepository.org/nis/mapbrowse?scope=knb-lter-hbr&identifier=165).

This work is a contribution of the Hubbard Brook Ecosystem Study. Hubbard Brook is part of the LTER network, which is supported by the US National Science Foundation. The Hubbard Brook Experimental Forest is operated and maintained by the US Department of Agriculture, Forest Service, Northern Research Station.

These data are associated with the publication: Translational Science Education Through Citizen Science.

The Santa Barbara Channel MBON tracks long-term patterns in species abundance and diversity. This dataset contains counts of fish (including cryptic fish, which are deliberately sought out) produced by integrating data from four contributing projects working in the kelp forests of the Santa Barbara Channel, USA.

This dataset includes three entities, two data tables and R code. The main data table contains counts of organisms, the area over which that number was counted and the height above the bottom. Data were collected by human observation (divers using SCUBA) during regular surveys. The column labeled “count” records the number of organisms found in each plot/transect at a given timestamp.. A second data table contains place names and geolocation for sampling sites. Information is sufficient for the calculation of fish density, which is left to the user. Sample R-code is included (third entity) to illustrate generation of a basic table of areal density by taxa and sampling site. See Methods for information on integration and data processing

The four contributing projects are two research projects: the Santa Barbara Coastal LTER (SBC LTER) and the Partnership for Interdisciplinary Studies of Coastal Oceans (PISCO), and the kelp forest monitoring program of the Santa Barbara Channel National Park, and the San Nicolas Island monitoring program supported by USGS. Together, these projects have recorded data for more than 200 species at approximately 100 sites on both the mainland coast and on the Santa Barbara Channel Islands. Sampling began in 1982 and is ongoing.

Seedling demography data are provided in annual censuses of 600 seedling plots in an equatorial, ever-wet rainforest in eastern Ecuador, in Yasuní National Park. This long-term study uses standardized methodology from the Smithsonian ForestGEO network of plots, and in particular coordination with similar studies in Luquillo, Puerto Rico, and Barro Colorado Island, Panama. We address hypotheses about the maintenance of forest diversity and long-term variation, and link our data to companion studies of flowering and fruiting phenology and sapling and adult dynamics in the Yasuní Forest Dynamics 50-ha Plot. The project is ongoing, and additional data will be added as they are processed.

These datafiles contain the plant-pollinator interaction data collected by Paul CaraDonna et al. at the Rocky Mountain Biological Laboratory in Gothic, CO, USA during the 2013, 2014 and 2015 growing season. These data were collected to investigate temporal variation in plant-pollinator interactions; specifically, these data were collected in a manner to allow for the construction of weekly plant-pollinator interaction networks in order to investigate fine scale temporal variation in plant-pollinator interactions. The data represent extensive community-wide field observations of animal pollinators visiting flowering plants in a subalpine ecosystem for the majority of the summer growing season (May–September).

SUNY College of Environmental Science and Forestry (ESF) based in Syracuse, New York, maintains a series of Continuous Forest Inventory (CFI) permanent plots on their Forest Properties. ESF has over 700 CFI plots located on 5 different properties, four properties in the Adirondack Mountains of northern New York and one property south of Syracuse. Plots cover northern hardwood species including sugar maple, red maple, yellow birch, beech, white ash, red oak, white pine, hemlock, red spruce, and pine/softwood plantations of various species. Data is collected at ten year intervals on each property starting from initial plot establishment. Plot information collected includes: location information, slope, aspect, forest type, cutting history, and photo of plot. Tree information/measurements include (in general, trees greater than 3.6 inches diameter at breast height): tree tag number, species, tree history, diameter at breast height, sawlog height, bole height, total height, crown vigor, crown class, tree location, and tree notes. Data is collected/field checked/edited according to detailed written procedures by ESF professional staff with assistance of students. Data is collected to monitor general forest health, growth rates, mortality, and overall forest metrics. Data is used to calculate standing volumes, stocking of forest trees, carbon stocking in addition to other information.

ESF Forest Properties with CFI plots:

The San Francisco Estuary (SFE) is simultaneously a central hub of water delivery in California and home to commercially important and endangered fishes, such as Chinook Salmon, Green Sturgeon, and Delta and Longfin Smelt. Extensive ecological monitoring has been conducted for over 50 years, mainly under the auspices of the Interagency Ecological Program for the San Francisco Estuary (https://iep.ca.gov/). We integrated fish catch and length data from 9 long-term monitoring surveys in the SFE. The integrated database contains survey-level data such as environmental variables and sampling effort in addition to the fish-level species, lengths, and counts. Zero catches have been filled in for any species not caught in a sample. The geographic scope includes San Francisco Bay through the upper estuary, and the timeseries spans 1959 to 2021. Sampling methods, gear, fish length metric, and other factors differ among the component surveys. Sampling designs (locations and temporal frequency) have also changed over time. Thus, it is highly recommended to inspect the documentation of the component surveys for more information on their methods.

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 nets, and macro zooplankton (mysids and amphipods) are targeted with 500-505 µm mesh nets. We have integrated data from all 7 surveys and 3 size classes into a powerful long-term record of zooplankton in the San Francisco Estuary, representing over 80,000 zooplankton samples and over 2 billion estimated zooplankton captured by the nets in these surveys. Over the duration of this zooplankton dataset, the zooplankton community species composition has almost completely turned over after a series of species invasions from East Asia, numerous drought cycles have come and gone, and important fish species have dramatically declined during the Pelagic Organism Decline in 2002, likely due in part to reduced food supply from zooplankton. Data from the individual surveys have been used in prior studies to investigate issues related to species invasions, flows, fish diets and population dynamics, zooplankton population dynamics, and community ecology. Our integrated dataset offers new and unparalleled spatiotemporal resolution to address these and other questions with greater statistical power.

The upper San Francisco Estuary (SFE) is simultaneously a central hub of water delivery in California and home to commercially important and endangered fishes, such as Chinook Salmon, Green Sturgeon, and Delta and Longfin Smelt. Extensive ecological monitoring has been conducted for over 50 years, mainly under the auspices of the Interagency Ecological Program for the San Francisco Estuary (https://iep.ca.gov/). We integrated water quality data from 15 boat-based long-term monitoring surveys in the upper SFE. This integrated dataset includes measurements of temperature (surface and bottom), conductivity (surface), salinity (surface), Secchi depth, qualitative concentration of the toxic alga Microcystis (surface), Chlorophyll-a concentration (surface), nutrients (surface), and other parameters from 1959 - 2021. The component surveys range in sampling frequency from thrice weekly to monthly and range in duration from 5 – 60 years. Most component surveys sample at fixed stations, but the Enhanced Delta Smelt Monitoring survey uses random sites and some stations (with “EZ” in the station name) of the Environmental Monitoring Program follow the salinity field. It is highly recommended to inspect the documentation of the component surveys for more information on their methods.