AndreaBozzo/ceres-open-data-index huggingface dataset:
Hydrographic and Impairment Statistics Database: HAFO

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, cwa, designated-uses, ditch, geoscientificinformation, hafo, hagerman-fossil-beds-national-monument, 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
Geospatial data for the Vegetation Mapping Inventory Project of Sunset Crater Volcano National Monument

The files linked to this reference are the geospatial data created as part of the completion of the baseline vegetation inventory project for the NPS park unit.  Current format is ArcGIS file geodatabase but older formats may exist as shapefiles.

Four basic elements were used to create the SUCR vegetation map: 1) map class development, 2) aerial photography interpretation, 3) digital transfer, and 4) map validation. Following these steps, a formal accuracy assessment determined errors of omission and commission with the goal of achieving a minimum of 80% map accuracy. An ArcInfo GIS database was built for SUCR using in-house protocols for creating vegetation GIS databases. The protocols consist of a shell of Arc Macro Language (AML) scripts and menus that automate the transfer process and insure that all spatial and attribute data are consistent and stored properly. We modified the map classes as a result of field verification and used the modified classes in the final photointerpretation. The final map revision was completed in September 2002.

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
Geospatial data for the Vegetation Mapping Inventory Project of Stones River National Battlefield

The files linked to this reference are the geospatial data created as part of the completion of the baseline vegetation inventory project for the NPS park unit.  Current format is ArcGIS file geodatabase but older formats may exist as shapefiles.

In 2003, we returned to Stones River National Battlefield to follow-up on the first three goals and to cooperate with the University of Georgia Center for Remote Sensing and Mapping Science on their project to map all vegetation communities in the park. We supplied Phyllis Jackson from the University of Georgia with plot data and a dichotomous key to the National Vegetation Classification (NVC) associations of the park and we walked throughout the park to help identify mapping units. Since photointerpreters rely heavily on canopy species composition, understory species composition, and disturbance to classify polygons and ecologists also rely on the shrub and herb layer to classify types, the mapping units and the vegetation classification units do not always crosswalk or match up perfectly. The last step of the project was to reconcile mapping units with vegetation associations to produce mapping units that match up well with the ecological units of the National Vegetation Classification (NVC). We continue to work with Phyllis Jackson of the University of Georgia on the mapping; the vegetation map will be produced separately by the Center for Remote Sensing and Mapping Science and will include any crosswalk as specified in the cooperative agreement.

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
Geospatial data for the Vegetation Mapping Inventory Project of Thomas Stone National Historic Site

The files linked to this reference are the geospatial data created as part of the completion of the baseline vegetation inventory project for the NPS park unit.  Current format is ArcGIS file geodatabase but older formats may exist as shapefiles.

Following the vegetation data analysis, the formation-level vegetation map was further edited and refined to develop an association-level vegetation map. All classified plot and observation point locations for Thomas Stone National Historic Site were transferred to a project base map, where they facilitated interpretation of orthophoto mosaic images and/or aerial photographs during the mapping phase of this project. Observation points were retrospectively assigned by subjective assignment to the USNVC associations identified during data analysis, or to the additional two small-patch USNVC associations newly classified in this study. For the most part, polygon boundaries were unchanged, but where distinctions noted in the field were not evident on either set of aerial photography, revisions to existing polygons were made based on GPS readings of the observation points. Each polygon containing a plot or observation point was attributed with the name of an association based on classification results. The remaining polygons were assigned to associations based on the previously assigned formation (land use polygons were not altered), as well as the soil map, topographic map, and finer signature distinctions detected on the aerial photography, such as crown shape.

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
Kaibab Plateau Bison Herd Seasonal Ranges

These data represent the Kaibab Plateau bison herd's seasonal ranges on the North Rim of Grand Canyon National Park and the Kaibab National Forest. The Kaibab Plateau bison make seasonal movements from summer to winter habitat and range widely during transitional seasons. 

Bison were captured annually between 2019 and 2022 with a corral trap using low-stress handling techniques (Hibbard 2021) in accordance with an approved USGS animal use protocol (FORT IACUC 2018-14 and NPS Concurrence Institute of Animal Care and Use Committee USGS, IMR_GRCA_Schoenecker_Bison_2018.A2). Bison were immobilized using a hydraulic squeeze chute and outfitted with Iridium global positioning system (GPS) tracking collars (Telonics Inc, model: TGW-4477 Iridium, Mesa, AZ, USA), targeting older males and female matriarchs. Bison were released from the capture facility immediately following collaring. Collars were programmed to release from bison following two years of wear so that the animals were not burdened with the weight of the collar beyond the lifespan of the battery. Locations collected every two hours from collared male and female bison during the focal period of September 15, 2019 – April 30, 2022 were used to complete a resource selection function analysis. Data from the first five days following each animal’s capture were omitted to avoid bias of animal movements from capture events. 

Bison seasonal designations are based on their movements. An animation created in the ‘moveVis’ package in R (R Core Team, Schwalb-Willmann et al. 2020) was used to visually estimate the date range for each biological season. The range polygons were created using location data from GPS-collared female and male bison (n = 43) and kernel density techniques (R Core Team, Calenge 2021). Note that polygons represent a 95% utilization distribution area. Last updated on 5/3/2022.

Tags: american-bison, arizona, bison, bison-bison, bison-bison-bison, buffalo, ecological-framework-biological-integrity-focal-species-or-communities-mammals, grand-canyon-national-park, grca, kaibab-national-forest, kaibab-plateau, north-rim, plains-bison, seasonal-range, wildlife
Organization: Department of the Interior
2023 Fire Frequency of Sequoia and Kings Canyon National Parks

Fire frequency is derived from fire history (by applying a union and counting overlap). Polygons thus represent areas where fire has burned on the landscape. Each polygon is associated with a count of how many fires have burned there and a date for the last known fire. SEKI has a python script to run the process which is a modified version of one written by Carl Beyerhelm from the Coconino National Forest.  Areas on the landscape without a polygon do not have known recorded fire history since 1920. Fire is known to have burned frequently on the landscape before Euroamerican settlement and national park designation, but this layer does not reflect frequency from fires prior to 1920.

Tags: fire, frequency, sequoia-and-kings-canyon-national-parks, sierra-nevada
Organization: Department of the Interior
Geospatial data for the Vegetation Mapping Inventory Project of Theodore Roosevelt National Park

The files linked to this reference are the geospatial data created as part of the completion of the baseline vegetation inventory project for the NPS park unit.  Current format is ArcGIS file geodatabase but older formats may exist as shapefiles.

An ArcInfo (copyright ESRI) GIS database was designed for THRO using the National Park GIS Database Design, Layout, and Procedures created by RSGIG. This was created through Arc Macro Language (AML) scripts that helped automate the transfer process and ensure that all spatial and attribute data was consistent and stored properly. Actual transfer of information from the interpreted aerial photographs to a digital, geo-referenced format involved two techniques, scanning (for the vegetation classes) and on-screen digitizing (for the land-use classes). Transferred information used to create vegetation polygon coverages and linear coverages in ArcInfo were based on quarter-quad borders. Attribute information including vegetation map unit, location, and aerial photo number was subsequently entered for all polygons. In addition, the spatial database has an FGDC-compliant metadata file.

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
Geospatial data for the Vegetation Mapping Inventory Project of Shiloh National Military Park

The files linked to this reference are the geospatial data created as part of the completion of the baseline vegetation inventory project for the NPS park unit.  Current format is ArcGIS file geodatabase but older formats may exist as shapefiles.

The polygons on the plastic overlays were then corrected using photogrammetric procedures and converted to vector format for use in creating a geographic information system (GIS) database for each park. In addition, high resolution color orthophotographs were created from the original aerial photographs for use in the GIS. Upon completion of the GIS database (including vegetation, orthophotos and updated roads and hydrology layers), both hardcopy and softcopy maps were produced for delivery.

Metadata for each database includes a description of the vegetation classification system used for each park, summary statistics and documentation of the sources, procedures and spatial accuracies of the data. At the time of this writing, an accuracy assessment of the vegetation mapping has not been performed for most of these parks. Thus, those procedures and results are not included in this report.

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
Geospatial data for the Vegetation Mapping Inventory Project of Sleeping Bear Dunes National Lakeshore

The files linked to this reference are the geospatial data created as part of the completion of the baseline vegetation inventory project for the NPS park unit.  Current format is ArcGIS file geodatabase but older formats may exist as shapefiles.

We developed 75 map classes (including map-class phases) to map the SLBE and environs. Of these 75 map classes, 67 represent natural/semi-natural vegetation types within the NVCS, four represent cultural vegetation types (agriculture and developed) within the NVCS, and four represent non-vegetation features (open water, barren land). To assign meaningful information to each polygon (e.g., map-class names, physiognomic definitions, links to NVCS types), we produced a feature-class table, along with other supportive tables, and subsequently related them together via an ArcGIS Geodatabase. This geodatabase also links the map to other feature-class layers produced from this project, including vegetation sample plots, accuracy assessment (AA) sites, aerial photo locations, and project boundary extent. A geodatabase provides access to a variety of interlocking data sets, is expandable, and equips resource managers and researchers with a powerful GIS tool.

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
Geospatial data for the Vegetation Mapping Inventory Project of Shenandoah National Park

The files linked to this reference are the geospatial data created as part of the completion of the baseline vegetation inventory project for the NPS park unit.  Current format is ArcGIS file geodatabase but older formats may exist as shapefiles.

We followed methods in Anderson and Merrill (1998) for combining gradient layers into an “ecological land units” map (also referred to as a “biophysical units” map). Our goal was to use this information to create sampling strata that capture the range of environments observed. The Anderson and Merrill (1998) method (implemented as a set of GIS scripts by F. Biasi (2001)) builds an ecological units map by classifying and combining individual environmental gradient maps in a GIS. Maps of aspect, moisture, slope, and slope shape are reclassified and assembled to produce maps of landform units. These landform units are then combined with reclassified elevation and geologic maps to produce a final ecological land units or “ELU” map. We used these methods as a guide to building an ecological land units map for Shenandoah National Park, adapting the procedures for local conditions. Individual steps in the process and maps resulting from intermediate and final stages are described in the report.

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
Haleakala National Park Shrubland Invertebrate Inventory Dataset

Subalpine shrubland and alpine aeolian ecosystems occur throughout Hawaii and represent important habitats for native species. On Maui, shrubland and alpine ecosystems occur in and around Haleakala National Park (HALE) on the mountain's upper west slope, upper south slope, and within the crater. During 2001-2004 an inventory of arthropods was conducted on the upper west slope and summit of Haleakala National Park, using three systematic sampling techniques and limited opportunistic hand collecting. This report catalogues all arthropod species collected in the course of the inventory, and when possible, provides additional information relevant to the species listed. In addition, inventory completeness and the relative effectiveness of the different sampling techniques are accessed.

Tags: alien-mammals, biology, biota, default-value, hale, haleakala, haleakala-national-park, invertebrates, kaapahu, mammal, non-native-mammals
Organization: Department of the Interior
Hydrographic and Impairment Statistics Database: LAVO

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, cwa, designated-uses, ditch, geoscientificinformation, his, hydrographic-and-impairment-statistics, hydrographic-statistics, hydrography, impaired-waters, impairment, impairment-statistics, inland-waters, inlandwaters, lake, lassen-volcanic-national-park, lavo, 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
Hydrographic and Impairment Statistics Database: LABE

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, cwa, designated-uses, ditch, geoscientificinformation, his, hydrographic-and-impairment-statistics, hydrographic-statistics, hydrography, impaired-waters, impairment, impairment-statistics, inland-waters, inlandwaters, labe, lake, lava-beds-national-monument, 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
Hydrographic and Impairment Statistics Database: MIIN

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, cwa, designated-uses, ditch, geoscientificinformation, his, hydrographic-and-impairment-statistics, hydrographic-statistics, hydrography, impaired-waters, impairment, impairment-statistics, inland-waters, inlandwaters, lake, marsh, miin, minidoka-internment-national-monument, 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