AndreaBozzo/ceres-open-data-index huggingface dataset:
SFCN Periphyton Monitoring Data Package - Big Cypress National Preserve (HY2017) (Pilot Data)

A data package consisting of diatom, total phosphorus, vegetation, and related data collected in Big Cypress National Preserve as part of the SFCN Periphyton Vital Signs protocol. This hydrologic year was collected before the 2019 publication of the protocol so it represents pilot data, but the methods were largely consistent with what was published.

Periphyton is a microbial mat community that forms the base of the aquatic food web in South Florida wetlands such as the marshes in Everglades National Park (EVER) and the Big Cypress National Preserve (BICY). It is a vital component of these wetlands, contributing to critical functions such as primary production, nutrient cycling, and soil production and stabilization. Periphyton is sensitive to changes in hydropattern (water quantity and duration) and water quality. Changes to these ecosystem processes can quickly alter periphyton community structure (species composition and relative abundance), which in turn can create cascading effects through higher trophic levels. Thus, periphyton is an early and integrative indicator of local and regional changes to hydrology. 

The South Florida/Caribbean Network has implemented the monitoring of periphyton communities in Big Cypress National Preserve to assess the impact of hydrologic and water quality changes on the diatom community structure and total phosphorous (TP) concentrations of the periphyton mats.

The specific monitoring objectives are:
1) Identify any basins in the northwest section of Big Cypress National Preserve where periphyton community structure and periphyton TP content are different from an oligotrophic (low-nutrient) and unimpacted community signal. 

2) Document any temporal and/or spatial changes in the periphyton community structure and periphyton TP content showing progression towards an oligotrophic, unimpacted condition or a eutrophic (high-nutrient), impacted condition.

Tags: basin, big-cypress-national-preserve, data-package, diatom, ecological-framework-biological-integrity-focal-species-or-communities-freshwater-communities, ecological-framework-biological-integrity-focal-species-or-communities-freshwater-invertebrates, periphyton, periphyton-dataset, south-florida-caribbean-network, tabular-dataset, total-phosphorous, water-quality
Organization: Department of the Interior
Andersonville National Historic Site Small-Scale Base GIS Data

This data set contains small-scale base GIS data layers
    compiled by the National Park Service Servicewide Inventory and
    Monitoring Program and Water Resources Division for use in a
    Baseline Water Quality Data Inventory and Analysis Report that was
    prepared for the park.  The report presents the results of surface
    water quality data retrievals for the park from six of the United
    States Environmental Protection Agency's (EPA) national
    databases: (1) Storage and Retrieval (STORET) water quality database
    management system; (2) River Reach File (RF3) Hydrography; (3)
    Industrial Facilities Discharges; (4) Drinking Water Supplies; (5)
    Water Gages; and (6) Water Impoundments.  The small-scale GIS data
    layers were used to prepare the maps included in the report that
    depict the locations of water quality monitoring stations,
    industrial discharges, drinking intakes, water gages, and water
    impoundments.  The data layers included in the maps (and this
    dataset) vary depending on availability, but generally include
    roads, hydrography, political boundaries, USGS 7.5' minute
    quadrangle outlines, hydrologic units, trails, and others as
    appropriate. The scales of each layer vary depending on data source
    but are generally 1:100,000.

Tags: ande, andersonville, andersonville-national-historic-site, ga, gis, hydrography, hydrology, water, water-quality, wrd
Organization: Department of the Interior
Coastal/Marine Ecological Classification Standard (CMECS) Benthic Habitat Classifications, 2014-2015, Gateway National Recreation Area

Supervised classification utilized training texels of 30 x 30 to 90 x 90 pixels cut from GeoTiff orthotiles centered on the coordinates of the grab sample stations.  Each texel was assigned to a cluster training set based on that sample’s classification in the original (latent) cluster analysis calculated on similarity of sediment characteristics. However, none of the potential 2470 combinations of backscatter signal characters and their treatments were able to discriminate significantly among these 5 classes, meaning that variation among samples of at least 2 classes overlapped considerably. Recombination into 4 classes (combining Classes 3 and 4) yielded significant discrimination. Mapping of the results showed that one of these classes was likely to be legitimate when applied to the bayside, but additionally was duplicated as an artifact of edge between orthotiles on the oceanside because of fading at the swath margins. This means that backscatter was characteristic of the larger habitat distinctions shown in the latent dendrogram with confidence, and of lesser branches with less confidence. Therefore, the entire oceanside was characterized as one habitat, and classification of the bayside was attempted again in isolation. Recombination into 3 classes (“mud”, “sand”, “gravelly sand”) was able to resolve 3 classes significantly (score  = 0.33548) using input factors Contrast, Gray Mean, and Directionality with 30 x 30 pixel (15 x 15 m) texels. Despite good separation in the training texels, with some slight overlap at the 5% confidence ellipsoid for mud and gravel, most areas known to be muddy were classified as being gravelly sand in the resulting classification map. This is likely a function of reflective shell hash in acoustically dark mud having similar contrast to reflective gravel with acoustically dark shadows created by high relief. A test of natural separation (Davies-Bouldin Index) indicated four modes using these characters, so the same factors were used in an unsupervised classification allowing four latent classes. The four latent classes mapped very similar to the previous supervised classification but broke up the latent analog to the “gravelly sand” class. Class error was low at 0.1110. The newly resolved class was clearly mud with shell, based on video ground truthing. This class was combined with the mud class in compiling the final habitat classification map.

Tags: bathymetry, benthic-ecology, benthic-habitat, benthic-habitat-mapping, gate, gateway-national-recreation-area, hurricane-sandy, hxsandy, marine-geology, ncbn, new-jersey, northeast-coastal-and-barrier-network, sandy-hook, seafloor, seafloor-mapping, sediment, sidescan-sonar, submerged-habitat, submerged-habitat-mapping
Organization: Department of the Interior
Hydrographic and Impairment Statistics Database: BLSC

Hydrographic and Impairment Statistics (HIS) is a National Park Service (NPS) Water Resources Division (WRD) project established to track certain goals created in response to the Government Performance and Results Act of 1993 (GPRA). One water resources management goal established by the Department of the Interior under GRPA requires NPS to track the percent of its managed surface waters that are meeting Clean Water Act (CWA) water quality standards. This goal requires an accurate inventory that spatially quantifies the surface water hydrography that each bureau manages and a procedure to determine and track which waterbodies are or are not meeting water quality standards as outlined by Section 303(d) of the CWA. This project helps meet this DOI GRPA goal by inventorying and monitoring in a geographic information system for the NPS: (1) CWA 303(d) quality impaired waters and causes; and (2) hydrographic statistics based on the United States Geological Survey (USGS) National Hydrography Dataset (NHD). Hydrographic and 303(d) impairment statistics were evaluated based on a combination of 1:24,000 (NHD) and finer scale data (frequently provided by state GIS layers).

Tags: 303d, blackwell-school-national-historic-site, blsc, boundaries, boundary, canal, clean-water-act, cwa, designated-uses, ditch, geoscientificinformation, his, hydrographic-and-impairment-statistics, hydrographic-statistics, hydrography, impaired-waters, impairment, impairment-statistics, inland-waters, inlandwaters, marsh, national-hydrography-dataset, nhd, ocean, oceans, pond, regulatory, reservoir, resource-management, river, sea, seep, shoreline, spring, statistics, stream, swamp, tmdl, total-maximum-daily-load, water, waterfall, wetlands
Organization: Department of the Interior
Geospatial data (ESRI Feature Classes) used in the public-facing REDW Park Atlas on AGOL

This dataset is a copy of data exported from the park's GIS SDE geodatabases that were used to publish AGOL hosted feature services used in the public-facing Park Atlas.  The NPS requires AGOL content used in public-facing applications we uploaded to IRMA.  The zipped file contains : 1) an ESRI file geodatabase with selected feature layers that are uwsed in Park Atlas, 2) the ArcGIS Pro project that was used to publish the SDE data to AGOL, and 3) an extensive library of ESRI layer files that are used at the park.

Tags: nps-gov-subject-site-gis-cartography-mapping
Organization: Department of the Interior
Ground-truth sampling locations, 2014-2015, Gateway National Recreation Area

GIS point data of stations in which biological and sediment grab samples were collected.  Collection of benthic infauna and epifauna used a 0.04 m2 Ted Young Modified Van Veen grab. Three replicate benthic samples were collected at 23 sites to total 69 samples in Year 1.   The samples were immediately sieved over a 0.5 mm mesh screen.  The residue remaining on the screen was fixed in 3.7% formaldehyde solution in seawater, buffered with sodium borate and containing Rose Bengal to stain organisms. A fourth grab was collected for sediment analysis. Sediment for grain size analysis was wet-sieved through a 63μm-mesh sieve in distilled water with dispersant to disaggregate and separate the silt and clay fraction from the sand-sized fraction.  Silt and clay mass was determined by drying a known volume of the water-particle mixture passing through the sieve.  The sand fraction was dried and then sieved into the following size fractions: &lt;63 µm (silt), 63-125 µm (very fine sand), 125-250 µm (fine sand), 250-500 µm (medium sand), 500-1000 µm (coarse sand), &gt;1000 µm (very coarse sand).  Each fraction was weighed. The mass of the &lt;4φ fraction was further analyzed using a Spectrex model PC-2000 laser particle counter (Spectrex Corporation, Redwood City, CA) Counts of particles were obtained corresponding to these additional size categories: 5φ (4-8 µm very fine silt), and 6φ (16-31 µm, medium silt), 7φ (8-16 µm, fine silt), 8 φ ( 4-8 µm, very fine silt), and 9 φ (2-4 µm, clay). Particle counts were converted to mass by multiplying the fractional volume percent in each size category by the total mass of the &lt;4φ fraction determined during wet sieving.

Tags: bathymetry, benthic-ecology, benthic-habitat, benthic-habitat-mapping, gate, gateway-national-recreation-area, hurricane-sandy, hxsandy, marine-geology, ncbn, new-jersey, northeast-coastal-and-barrier-network, sandy-hook, seafloor, seafloor-mapping, sediment, sidescan-sonar, submerged-habitat, submerged-habitat-mapping
Organization: Department of the Interior
Bighorn Canyon National Recreation Area Small-Scale Base GIS Data

This data set contains small-scale base GIS data layers
    compiled by the National Park Service Servicewide Inventory and
    Monitoring Program and Water Resources Division for use in a
    Baseline Water Quality Data Inventory and Analysis Report that was
    prepared for the park.  The report presents the results of surface
    water quality data retrievals for the park from six of the United
    States Environmental Protection Agency's (EPA) national
    databases: (1) Storage and Retrieval (STORET) water quality database
    management system; (2) River Reach File (RF3) Hydrography; (3)
    Industrial Facilities Discharges; (4) Drinking Water Supplies; (5)
    Water Gages; and (6) Water Impoundments.  The small-scale GIS data
    layers were used to prepare the maps included in the report that
    depict the locations of water quality monitoring stations,
    industrial discharges, drinking intakes, water gages, and water
    impoundments.  The data layers included in the maps (and this
    dataset) vary depending on availability, but generally include
    roads, hydrography, political boundaries, USGS 7.5' minute
    quadrangle outlines, hydrologic units, trails, and others as
    appropriate. The scales of each layer vary depending on data source
    but are generally 1:100,000.

Tags: bica, bighorn-canyon-national-recreation-area, fort-smith, gis, hydrography, hydrology, mt, water, water-quality, wrd
Organization: Department of the Interior
Ground-truth Data, Submerged Marine Habitat Mapping, Gateway National Recreation Area

Collection of benthic infauna and epifauna used a 0.04 m2 Ted Young Modified Van Veen grab. Three replicate benthic samples were collected at 23 sites to total 69 samples in Year 1.   The samples were immediately sieved over a 0.5 mm mesh screen.  The residue remaining on the screen was fixed in 3.7% formaldehyde solution in seawater, buffered with sodium borate and containing Rose Bengal to stain organisms.  A fourth grab was collected for sediment analysis. Sediment for grain size analysis was wet-sieved through a 63μm-mesh sieve in distilled water with dispersant to disaggregate and separate the silt and clay fraction from the sand-sized fraction.  Silt and clay mass was determined by drying a known volume of the water-particle mixture passing through the sieve.  The sand fraction was dried and then sieved into the following size fractions: &lt;63 µm (silt), 63-125 µm (very fine sand), 125-250 µm (fine sand), 250-500 µm (medium sand), 500-1000 µm (coarse sand), &gt;1000 µm (very coarse sand).  Each fraction was weighed. The mass of the &lt;4φ fraction was further analyzed using a Spectrex model PC-2000 laser particle counter (Spectrex Corporation, Redwood City, CA) Counts of particles were obtained corresponding to these additional size categories: 5φ (4-8 µm very fine silt), and 6φ (16-31 µm, medium silt), 7φ (8-16 µm, fine silt), 8 φ ( 4-8 µm, very fine silt), and 9 φ (2-4 µm, clay). Particle counts were converted to mass by multiplying the fractional volume percent in each size category by the total mass of the &lt;4φ fraction determined during wet sieving.

Tags: bathymetry, benthic-ecology, benthic-habitat, benthic-habitat-mapping, gate, gateway-national-recreation-area, hurricane-sandy, hxsandy, infaunal-survey, marine-geology, ncbn, new-jersey, northeast-coastal-and-barrier-network, sandy-hook, seafloor, seafloor-mapping, sediment, sidescan-sonar, submerged-habitat, submerged-habitat-mapping
Organization: Department of the Interior
Ground-truthing images, 2014-2015, Gateway National Recreation Area

Collection of benthic infauna and epifauna used a 0.04 m2 Ted Young Modified Van Veen grab. Three replicate benthic samples were collected at 23 sites to total 69 samples in Year 1.   The samples were immediately sieved over a 0.5 mm mesh screen.  The residue remaining on the screen was fixed in 3.7% formaldehyde solution in seawater, buffered with sodium borate and containing Rose Bengal to stain organisms.  A fourth grab was collected for sediment analysis. Sediment for grain size analysis was wet-sieved through a 63μm-mesh sieve in distilled water with dispersant to disaggregate and separate the silt and clay fraction from the sand-sized fraction.  Silt and clay mass was determined by drying a known volume of the water-particle mixture passing through the sieve.  The sand fraction was dried and then sieved into the following size fractions: &lt;63 µm (silt), 63-125 µm (very fine sand), 125-250 µm (fine sand), 250-500 µm (medium sand), 500-1000 µm (coarse sand), &gt;1000 µm (very coarse sand).  Each fraction was weighed. The mass of the &lt;4φ fraction was further analyzed using a Spectrex model PC-2000 laser particle counter (Spectrex Corporation, Redwood City, CA) Counts of particles were obtained corresponding to these additional size categories: 5φ (4-8 µm very fine silt), and 6φ (16-31 µm, medium silt), 7φ (8-16 µm, fine silt), 8 φ ( 4-8 µm, very fine silt), and 9 φ (2-4 µm, clay). Particle counts were converted to mass by multiplying the fractional volume percent in each size category by the total mass of the &lt;4φ fraction determined during wet sieving.

Tags: bathymetry, benthic-ecology, benthic-habitat, benthic-habitat-mapping, gate, gateway-national-recreation-area, hurricane-sandy, hxsandy, infaunal-survey, marine-geology, ncbn, new-jersey, northeast-coastal-and-barrier-network, sandy-hook, seafloor, seafloor-mapping, sediment, sidescan-sonar, submerged-habitat, submerged-habitat-mapping
Organization: Department of the Interior
Kings Canyon National Park Tract and Boundary Data

These ESRI shape files are of National Park Service tract and boundary data that was created by the Land Resources Division. Tracts are numbered and created by the regional cartographic staff at the Land Resources Program Centers and are associated to the Land Status Maps. This data should be used to display properties that NPS owns and properties that NPS may have some type of interest such as scenic easements or right of ways.

Tags: boundaries, boundary, california, kica, kings-canyon-national-park, lrdcab, national-park-service, ownership, pacific-west, parcels, planning-cadastre, tracts, united-states
Organization: Department of the Interior
Ice Age National Scenic Trail Tract and Boundary Data

These ESRI shape files are of National Park Service tract and boundary data that was created by the Land Resources Division. Tracts are numbered and created by the regional cartographic staff at the Land Resources Program Centers and are associated to the Land Status Maps. This data should be used to display properties that NPS owns and properties that NPS may have some type of interest such as scenic easements or right of ways.

Tags: boundaries, boundary, iatr, ice-age-national-scenic-trail, land-status-ownership, lrdcab, midwest-region-office, national-park-service, ownership, parcels, planning-cadastre, tracts, united-states
Organization: Department of the Interior
Monocacy National Battlefield Tract and Boundary Data

These ESRI shape files are of National Park Service tract and boundary data that was created by the Land Resources Division. Tracts are numbered and created by the regional cartographic staff at the Land Resources Program Centers and are associated to the Land Status Maps. This data should be used to display properties that NPS owns and properties that NPS may have some type of interest such as scenic easements or right of ways.

Tags: boundaries, boundary, land-status-ownership, lrdcab, maryland, mono, monocacy-national-battlefield, monocacy-national-battlefield-park, national-capital-region, national-park-service, ownership, parcels, planning-cadastre, tracts, united-states
Organization: Department of the Interior
Imagery data for the Vegetation Mapping Inventory Project of Ocmulgee Mounds National Historical Park

This reference contains the imagery data used in the completion of the baseline vegetation inventory project for the NPS park unit. Orthophotos, raw imagery, and scanned aerial photos are common files held here.

Color infrared (CIR) aerial photographs of the park at 1:12,000 scale were acquired by Aero-Metric, Inc. on May 11, 2011. These photos were scanned and converted to digital orthophotographs at 0.3-meter (1ft) resolution before they were delivered to the National Park Service. Digital orthophotographs and hardcopy photographs in both film transparency and paper print formats were provided to the University of Georgia Center for Geospatial Research. Six photos in two flight lines were required to cover Ocmulgee Mounds National Historical Park.

Tags: accuracy-assessment, botanical-survey, classification, geodatabase, habitat-types, imagery, national-vegetation-classification, nvc, nvcs, plots, releve, remote-sensing, usnvcs, vegetation, vegetation-inventory, vegetation-map, vegetation-mapping
Organization: Department of the Interior
Imagery data for the Vegetation Mapping Inventory Project of Saint Croix National Scenic Riverway

This reference contains the imagery data used in the completion of the baseline vegetation inventory project for the NPS park unit.  Orthophotos, raw imagery, and scanned aerial photos are common files held here.

A set of 1:12,000-scale CIR aerial photographs was collected on October 10, 2007. This set of photography was the primary imagery used in photointerpretative mapping. In addition to the CIR photos, sets of 1:12,000-scale TC aerial photographs were collected on April 14, 2006, and April 18, 2007, providing deciduous leaf-off viewing.

Tags: accuracy-assessment, botanical-survey, classification, geodatabase, habitat-types, imagery, national-vegetation-classification, nvc, nvcs, plots, releve, remote-sensing, usnvcs, vegetation, vegetation-inventory, vegetation-map, vegetation-mapping
Organization: Department of the Interior
Hydrographic and Impairment Statistics Database: CURE

Hydrographic and Impairment Statistics (HIS) is a National Park Service (NPS) Water Resources Division (WRD) project established to track certain goals created in response to the Government Performance and Results Act of 1993 (GPRA). One water resources management goal established by the Department of the Interior under GRPA requires NPS to track the percent of its managed surface waters that are meeting Clean Water Act (CWA) water quality standards. This goal requires an accurate inventory that spatially quantifies the surface water hydrography that each bureau manages and a procedure to determine and track which waterbodies are or are not meeting water quality standards as outlined by Section 303(d) of the CWA. This project helps meet this DOI GRPA goal by inventorying and monitoring in a geographic information system for the NPS: (1) CWA 303(d) quality impaired waters and causes; and (2) hydrographic statistics based on the United States Geological Survey (USGS) National Hydrography Dataset (NHD). Hydrographic and 303(d) impairment statistics were evaluated based on a combination of 1:24,000 (NHD) and finer scale data (frequently provided by state GIS layers).

Tags: 303d, boundaries, boundary, canal, clean-water-act, cure, curecanti-national-recreation-area, cwa, designated-uses, ditch, geoscientificinformation, his, hydrographic-and-impairment-statistics, hydrographic-statistics, hydrography, impaired-waters, impairment, impairment-statistics, inland-waters, inlandwaters, lake, marsh, national-hydrography-dataset, nhd, ocean, oceans, pond, regulatory, reservoir, resource-management, river, sea, seep, shoreline, spring, statistics, stream, swamp, tmdl, total-maximum-daily-load, water, waterfall, wetlands
Organization: Department of the Interior