AndreaBozzo/ceres-open-data-index huggingface dataset:
Glacier National Park Citizen Science "Loons on the Edge" Story Map

StoryMap documenting Common Loon conservation in Glacier National Park. 

The haunting calls and stark beauty of the Common Loon are like no other. And, just as this iconic bird conjures up images of wilderness, its survival depends on the persistence of wild places. Due to their sensitivity to disturbance and their need for pristine habitat, Common Loons also serve as indicators of lake ecosystem health. Concerted management efforts, including habitat conservation and minimizing loon disturbance, are critical for the continued success of these remarkable birds.

Concern in the 1980s about Common Loons, a Montana Species of Special Concern, prompted management agencies throughout Montana (including Glacier National Park) to conduct annual counts during a single day event called Montana Loon Day.

Over the course of the next decade, data began to indicate lower reproductive rates in Glacier compared to the rest of Montana, which raised concerns about the sustainability of the park's loon population. Park managers needed a way to collect more thorough and reliable information.

Tags: citizen-science, common-loon, conservation, storymap
Organization: Department of the Interior
Glacier National Park Citizen Science Base Layers

Various base/reference layers used in Glacier National Park's Crown of the Continent Research Learning Center's Citizen Science team's public mapping products. Each layer has its own detailed description you should reference is seeking specific information on a dataset.

Tags: boundary, crown-of-the-continent-ecosystem, flathead-county, glacier-county, glacier-national-park, hiking-trails, lakes, montana, national-park-service, north-america, nps, streams, trail, trails, transportation, united-states
Organization: Department of the Interior
Glacier National Park Mountain Goat and Bighorn Sheep Citizen Science

This form and associated feature layer contains points collected by Glacier National Park (Montana) Citizen Science volunteers and staff to document mountain goat and bighorn sheep detections and distribution from 2022- present. This Citizen Science form enables volunteers and park staff to record mountain goat and bighorn sheep population data while in the field. It includes questions regarding survey conditions (weather, date, number of people present, etc.), document a geopoint for observer location as well as sheep and goat location, equipment used, other wildlife seen in survey areas, and an exit page inquiring about time to complete survey and hiking distance. This survey is intended for use within Glacier National Park, Montana. This project was created using Survey123 and is managed by the Glacier National Park Citizen Science team in the Crown of the Continent Research Learning Center. The resulting data from submitted surveys is used to compile final reports regarding mountain goat and bighorn sheep baseline population estimates, population trends, and geographic distribution. Data is collected by citizen science volunteers and student and service groups. Data is QA/QC’d by Glacier National Park Citizen Science staff and backed up monthly.

Basic purpose: survey for baseline population, estimate, trend monitoring, and distribution. 

Dataset Format: form and feature layer 

Time period: data collected between 2022 to present.

Tags: bighorn-sheep, citizen-science, mountain-goat, trend-monitoring
Organization: Department of the Interior
Glacier National Park Pika Pellet Citizen Science

This form and associated feature layer contain points collected by Glacier National Park (Montana) Citizen Science volunteers and staff to document pika detections, talus habitat and genetic sample collection between 2023 to present. This Citizen Science form enables volunteers and park staff to record pika habitat data and record pellet collection while in the field. It includes questions regarding survey conditions (weather, date, number of people present, etc.), habitat information, pellet collection, contains a feature layer map to mark observer location as well as animal habitat location, and an exit page inquiring about time to complete survey and hiking distance. This survey is intended for use within Glacier National Park, Montana for the 2024 summer field season. This project was created using Survey123 and is managed by the Glacier National Park Citizen Science team in the Crown of the Continent Research Learning Center. The resulting data from submitted surveys is used to compile final reports regarding pika habitat within the park, baseline population estimates, and geographic distribution. Collected pellets are also processed for laboratory genetic analysis. Data is collected by citizen science volunteers and student and service groups. Data is QA/QC’d by Glacier National Park Citizen Science staff and backed up monthly.

Basic Purpose: 2024 Glacier National Park Citizen Science Pika Pellet Collection survey form for population, habitat, and distribution estimates as well as genetic exploration.

Dataset Format: Form and feature layer

Time period: Data collected between 2023 to present

Tags: american-pika, citizen-science, genetic-pellet-samples, talus, webmap
Organization: Department of the Interior
Glacier National Park Huckleberry Phenology Citizen Science

This form and associated feature layer contain points collected by Glacier National Park (Montana) Citizen Science volunteers and staff to identify the distribution and seasonal timing of huckleberry growth between 2022 to present. Volunteers record the presence of huckleberry shrubs within a 10 foot circle every one hour during their hikes along trails. The survey includes questions regarding basic survey conditions (time, date, location, number of people present, etc.), presence of huckleberry plants, phenological stage, a geopoint to mark location, and field for plant photos. It also includes fields for recording effort time and trailhead start and end location. This survey is intended for use within Glacier National Park, Montana. This project was created using Survey123 and is managed by the Glacier National Park Citizen Science team in the Crown of the Continent Research Learning Center. The resulting data from submitted surveys is used to compile final reports regarding huckleberry phenology in the park and to ground truth predictive maps of huckleberry distribution to inform understanding of availability of food for grizzly and black bears. Data is collected by citizen science volunteers and student and service groups. Data is QA/QC’d by Glacier National Park Citizen Science staff, backed up monthly and shared with USGS Northern Rockies Field Science Center research collaborators.

Basic Purpose: Glacier National Park Huckleberry Phenology Citizen Science survey form

Dataset Format: Form and feature layer

Time period: Data collected between 2022 to present

Tags: bears, citizen-science, huckleberries, phenology
Organization: Department of the Interior
Imagery data for the Vegetation Mapping Inventory Project of Fort Matanzas National Monument

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 Fort Matanzas National Monument.

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
Glacier National Park Mountain Goat Pellet Citizen Science

This form and associated feature layer contains points collected by Glacier National Park (Montana) Citizen Science volunteers and staff to document mountain goat and bighorn sheep detections and genetic pellet sample collections. This Citizen Science form enables volunteers and park staff to record mountain goat population data and record pellet collection while in the field. It includes questions regarding survey conditions (weather, date, number of people present, etc.), contains a feature layer map to mark observer location as well as animal location, animal counts, pellet collection questions, and an exit page inquiring about the potential use of Gaia program. This survey is intended for use within Glacier National Park, Montana. This project was created using Survey123 and is managed by the Glacier National Park Citizen Science team in the Crown of the Continent Research Learning Center. The resulting data from submitted surveys is used to compile final reports regarding mountain goat baseline population estimates, population trends, and geographic distribution. Collected pellets are also processed for laboratory genetic analysis. Data is collected by citizen science volunteers and student and service groups. Data is QA/QC’d by Glacier National Park Citizen Science staff and backed up monthly.

Basic Purpose: 2023 Glacier National Park Citizen Science Mountain Goat sightings and pellet collection form for genetic population structure analysis.

Dataset Format: Form and feature layer

Time period: Data collected between 2023 to present

Tags: bighorn-sheep, citizen-science, genetic-pellet-samples, mountain-goat, xform, xforms
Organization: Department of the Interior
Hydrographic and Impairment Statistics Database: KEMO

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, kemo, kennesaw-mountain-national-battlefield-park, 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
Hydrographic and Impairment Statistics Database: KICA

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, kica, kings-canyon-national-park, 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 Ocmulgee Mounds National Historical 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.

A final vegetation map for Ocmulgee Mounds National Historical Park was created to represent the vegetation occurring within the park during 2011. This product represents the final of four steps necessary to produce an accurate vegetation map based upon aerial photographs. This includes the determination of the CEGL codes (2008) and acquisition of aerial imagery (2011), using aerial imagery, with ground truthing (2014), to create a draft vegetation map, performing an accuracy assessment (2015), and then using all the available information to create a final vegetation map (2017).

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 Death Valley 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.

Cogan Technology, Inc. (CTI) created the digital vegetation map layer for the Death Valley National Park project area that covered 3,430,818 acres (1,389,486 ha). The resulting spatial database and vegetation map layer were created using a combination of 2020 (California) and 2019 (Nevada) National Agriculture Imagery Program (NAIP) basemap data, ground-based verification efforts, and a two-step, or hybrid mapping approach that used both manual and automated techniques. By comparing the vegetation signatures on the imagery to the field data, 90 map units (74 vegetated and 16 land-use/land-cover) were developed and used to delineate the plant communities. The interpreted vegetation polygons were then digitized into a Geographic Information System (GIS) layer that was field-tested, reviewed, and revised. The final DEVA vegetation map layer was assessed for overall thematic accuracy at 82% with a Kappa value of 89%.

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 Fort Davis National Historic Site

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.

Aerial photography was the foundation imagery for the vegetation map. The primary photo-base for this project was a National Agricultural Imagery Program (NAIP) digital ortho-photo quarter quad (DOQQ). This photo was acquired on September 12, 2004 as a digital, three-band, color-infrared dataset (with the visible green, visible red, and near-infrared wavelength portions of the spectrum partitioned into Bands 3, 2, and 1 respectively). As a part of their original processing, the photos had been orthorectified into a one-meter spatial resolution and projected into a UTM Projection, NAD83 Datum, GRS80 spheroid as a Mr. SIDs data format. For this project, the photo was imported into an ERDAS Imagine (v. 9.3) .img format. In addition, BingMaps photo database, high-resolution, natural-color imagery from 2010 was used to support final image interpretation.

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: MOJA

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, moja, mojave-national-preserve, 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: MANZ

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, manz, manzanar-national-historic-site, 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: MACA

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, maca, mammoth-cave-national-park, 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