AndreaBozzo/ceres-open-data-index huggingface dataset:
Coastwide Reference Monitoring System (CRMS) 2018 Site 0258 land-water classification data

Wetland restoration efforts conducted by the Coastal Wetlands Planning, Protection and Restoration Act (CWPPRA) in Louisiana rely on monitoring efforts to determine the efficacy of these efforts. The Coastwide Reference Monitoring System (CRMS) was developed to assist in a multiple-reference approach that uses aspects of hydrogeomorphic functional assessments and probabilistic sampling for monitoring. The CRMS program includes a suite of approximately 398 sites that encompass the range of hydrological and ecological conditions for each stratum. As part of CRMS, land and water classifications are created from Digital Orthophoto Quarter Quadrangles (DOQQs) approximately every three years at all CRMS sites. A DOQQ is a raster image in which displacement in the image caused by sensor orientation and terrain relief has been removed and combines the image characteristics of a photo with geometric qualities of a map. The DOQQs generated for this project consist of 2018 Color Infrared (CIR) Digital Imagery. These images were classified into land and water categories using a threshold of the near infrared (NIR) band, followed by supervised and unsupervised classification.  Initial classification results are then reviewed by multiple image analysts to identify and manually recode errors. The final land-water classifications are intended to serve as both geographic and quantitative assessments of landscape composition on the date of acquisition. Four previous assessments have been conducted (2005, 2008, 2012, and 2015/2016). Once the program creates enough data points for statistical analyses, these data will be used for land area change rate calculation.

Tags: alteration-of-wetland-habitats, cartography, coastal, coastal-louisiana, crms, doqq, emergent-wetland, forested-wetland, geographic-information-system, imagerybasemapsearthcover, land-water, louisiana, mapping, marsh, protection, restoration, scrub-shrub-wetland, state-of-louisiana, usgs-611d2a8ad34e40dd9c01290d, wetland, wetland-ecosystems, wetland-restoration
Organization: Department of the Interior
Coastwide Reference Monitoring System (CRMS) 2018 Site 0253 land-water classification data

Wetland restoration efforts conducted by the Coastal Wetlands Planning, Protection and Restoration Act (CWPPRA) in Louisiana rely on monitoring efforts to determine the efficacy of these efforts. The Coastwide Reference Monitoring System (CRMS) was developed to assist in a multiple-reference approach that uses aspects of hydrogeomorphic functional assessments and probabilistic sampling for monitoring. The CRMS program includes a suite of approximately 398 sites that encompass the range of hydrological and ecological conditions for each stratum. As part of CRMS, land and water classifications are created from Digital Orthophoto Quarter Quadrangles (DOQQs) approximately every three years at all CRMS sites. A DOQQ is a raster image in which displacement in the image caused by sensor orientation and terrain relief has been removed and combines the image characteristics of a photo with geometric qualities of a map. The DOQQs generated for this project consist of 2018 Color Infrared (CIR) Digital Imagery. These images were classified into land and water categories using a threshold of the near infrared (NIR) band, followed by supervised and unsupervised classification.  Initial classification results are then reviewed by multiple image analysts to identify and manually recode errors. The final land-water classifications are intended to serve as both geographic and quantitative assessments of landscape composition on the date of acquisition. Four previous assessments have been conducted (2005, 2008, 2012, and 2015/2016). Once the program creates enough data points for statistical analyses, these data will be used for land area change rate calculation.

Tags: alteration-of-wetland-habitats, cartography, coastal, coastal-louisiana, crms, doqq, emergent-wetland, forested-wetland, geographic-information-system, imagerybasemapsearthcover, land-water, louisiana, mapping, marsh, protection, restoration, scrub-shrub-wetland, state-of-louisiana, usgs-611d2a87d34e40dd9c01290b, wetland, wetland-ecosystems, wetland-restoration
Organization: Department of the Interior
Coastwide Reference Monitoring System (CRMS) 2018 Site 0251 land-water classification data

Wetland restoration efforts conducted by the Coastal Wetlands Planning, Protection and Restoration Act (CWPPRA) in Louisiana rely on monitoring efforts to determine the efficacy of these efforts. The Coastwide Reference Monitoring System (CRMS) was developed to assist in a multiple-reference approach that uses aspects of hydrogeomorphic functional assessments and probabilistic sampling for monitoring. The CRMS program includes a suite of approximately 398 sites that encompass the range of hydrological and ecological conditions for each stratum. As part of CRMS, land and water classifications are created from Digital Orthophoto Quarter Quadrangles (DOQQs) approximately every three years at all CRMS sites. A DOQQ is a raster image in which displacement in the image caused by sensor orientation and terrain relief has been removed and combines the image characteristics of a photo with geometric qualities of a map. The DOQQs generated for this project consist of 2018 Color Infrared (CIR) Digital Imagery. These images were classified into land and water categories using a threshold of the near infrared (NIR) band, followed by supervised and unsupervised classification.  Initial classification results are then reviewed by multiple image analysts to identify and manually recode errors. The final land-water classifications are intended to serve as both geographic and quantitative assessments of landscape composition on the date of acquisition. Four previous assessments have been conducted (2005, 2008, 2012, and 2015/2016). Once the program creates enough data points for statistical analyses, these data will be used for land area change rate calculation.

Tags: alteration-of-wetland-habitats, cartography, coastal, coastal-louisiana, crms, doqq, emergent-wetland, forested-wetland, geographic-information-system, imagerybasemapsearthcover, land-water, louisiana, mapping, marsh, protection, restoration, scrub-shrub-wetland, state-of-louisiana, usgs-611d2a84d34e40dd9c012909, wetland, wetland-ecosystems, wetland-restoration
Organization: Department of the Interior
Coastwide Reference Monitoring System (CRMS) 2018 Site 0248 land-water classification data

Wetland restoration efforts conducted by the Coastal Wetlands Planning, Protection and Restoration Act (CWPPRA) in Louisiana rely on monitoring efforts to determine the efficacy of these efforts. The Coastwide Reference Monitoring System (CRMS) was developed to assist in a multiple-reference approach that uses aspects of hydrogeomorphic functional assessments and probabilistic sampling for monitoring. The CRMS program includes a suite of approximately 398 sites that encompass the range of hydrological and ecological conditions for each stratum. As part of CRMS, land and water classifications are created from Digital Orthophoto Quarter Quadrangles (DOQQs) approximately every three years at all CRMS sites. A DOQQ is a raster image in which displacement in the image caused by sensor orientation and terrain relief has been removed and combines the image characteristics of a photo with geometric qualities of a map. The DOQQs generated for this project consist of 2018 Color Infrared (CIR) Digital Imagery. These images were classified into land and water categories using a threshold of the near infrared (NIR) band, followed by supervised and unsupervised classification.  Initial classification results are then reviewed by multiple image analysts to identify and manually recode errors. The final land-water classifications are intended to serve as both geographic and quantitative assessments of landscape composition on the date of acquisition. Four previous assessments have been conducted (2005, 2008, 2012, and 2015/2016). Once the program creates enough data points for statistical analyses, these data will be used for land area change rate calculation.

Tags: alteration-of-wetland-habitats, cartography, coastal, coastal-louisiana, crms, doqq, emergent-wetland, forested-wetland, geographic-information-system, imagerybasemapsearthcover, land-water, louisiana, mapping, marsh, protection, restoration, scrub-shrub-wetland, state-of-louisiana, usgs-611d2a81d34e40dd9c012907, wetland, wetland-ecosystems, wetland-restoration
Organization: Department of the Interior
Coastwide Reference Monitoring System (CRMS) 2018 Site 0241 land-water classification data

Wetland restoration efforts conducted by the Coastal Wetlands Planning, Protection and Restoration Act (CWPPRA) in Louisiana rely on monitoring efforts to determine the efficacy of these efforts. The Coastwide Reference Monitoring System (CRMS) was developed to assist in a multiple-reference approach that uses aspects of hydrogeomorphic functional assessments and probabilistic sampling for monitoring. The CRMS program includes a suite of approximately 398 sites that encompass the range of hydrological and ecological conditions for each stratum. As part of CRMS, land and water classifications are created from Digital Orthophoto Quarter Quadrangles (DOQQs) approximately every three years at all CRMS sites. A DOQQ is a raster image in which displacement in the image caused by sensor orientation and terrain relief has been removed and combines the image characteristics of a photo with geometric qualities of a map. The DOQQs generated for this project consist of 2018 Color Infrared (CIR) Digital Imagery. These images were classified into land and water categories using a threshold of the near infrared (NIR) band, followed by supervised and unsupervised classification.  Initial classification results are then reviewed by multiple image analysts to identify and manually recode errors. The final land-water classifications are intended to serve as both geographic and quantitative assessments of landscape composition on the date of acquisition. Four previous assessments have been conducted (2005, 2008, 2012, and 2015/2016). Once the program creates enough data points for statistical analyses, these data will be used for land area change rate calculation.

Tags: alteration-of-wetland-habitats, cartography, coastal, coastal-louisiana, crms, doqq, emergent-wetland, forested-wetland, geographic-information-system, imagerybasemapsearthcover, land-water, louisiana, mapping, marsh, protection, restoration, scrub-shrub-wetland, state-of-louisiana, usgs-611d2a7fd34e40dd9c012905, wetland, wetland-ecosystems, wetland-restoration
Organization: Department of the Interior
Coastwide Reference Monitoring System (CRMS) 2018 Site 0237 land-water classification data

Wetland restoration efforts conducted by the Coastal Wetlands Planning, Protection and Restoration Act (CWPPRA) in Louisiana rely on monitoring efforts to determine the efficacy of these efforts. The Coastwide Reference Monitoring System (CRMS) was developed to assist in a multiple-reference approach that uses aspects of hydrogeomorphic functional assessments and probabilistic sampling for monitoring. The CRMS program includes a suite of approximately 398 sites that encompass the range of hydrological and ecological conditions for each stratum. As part of CRMS, land and water classifications are created from Digital Orthophoto Quarter Quadrangles (DOQQs) approximately every three years at all CRMS sites. A DOQQ is a raster image in which displacement in the image caused by sensor orientation and terrain relief has been removed and combines the image characteristics of a photo with geometric qualities of a map. The DOQQs generated for this project consist of 2018 Color Infrared (CIR) Digital Imagery. These images were classified into land and water categories using a threshold of the near infrared (NIR) band, followed by supervised and unsupervised classification.  Initial classification results are then reviewed by multiple image analysts to identify and manually recode errors. The final land-water classifications are intended to serve as both geographic and quantitative assessments of landscape composition on the date of acquisition. Four previous assessments have been conducted (2005, 2008, 2012, and 2015/2016). Once the program creates enough data points for statistical analyses, these data will be used for land area change rate calculation.

Tags: alteration-of-wetland-habitats, cartography, coastal, coastal-louisiana, crms, doqq, emergent-wetland, forested-wetland, geographic-information-system, imagerybasemapsearthcover, land-water, louisiana, mapping, marsh, protection, restoration, scrub-shrub-wetland, state-of-louisiana, usgs-611d2a7ed34e40dd9c012903, wetland, wetland-ecosystems, wetland-restoration
Organization: Department of the Interior
Coastwide Reference Monitoring System (CRMS) 2018 Site 0234 land-water classification data

Wetland restoration efforts conducted by the Coastal Wetlands Planning, Protection and Restoration Act (CWPPRA) in Louisiana rely on monitoring efforts to determine the efficacy of these efforts. The Coastwide Reference Monitoring System (CRMS) was developed to assist in a multiple-reference approach that uses aspects of hydrogeomorphic functional assessments and probabilistic sampling for monitoring. The CRMS program includes a suite of approximately 398 sites that encompass the range of hydrological and ecological conditions for each stratum. As part of CRMS, land and water classifications are created from Digital Orthophoto Quarter Quadrangles (DOQQs) approximately every three years at all CRMS sites. A DOQQ is a raster image in which displacement in the image caused by sensor orientation and terrain relief has been removed and combines the image characteristics of a photo with geometric qualities of a map. The DOQQs generated for this project consist of 2018 Color Infrared (CIR) Digital Imagery. These images were classified into land and water categories using a threshold of the near infrared (NIR) band, followed by supervised and unsupervised classification.  Initial classification results are then reviewed by multiple image analysts to identify and manually recode errors. The final land-water classifications are intended to serve as both geographic and quantitative assessments of landscape composition on the date of acquisition. Four previous assessments have been conducted (2005, 2008, 2012, and 2015/2016). Once the program creates enough data points for statistical analyses, these data will be used for land area change rate calculation.

Tags: alteration-of-wetland-habitats, cartography, coastal, coastal-louisiana, crms, doqq, emergent-wetland, forested-wetland, geographic-information-system, imagerybasemapsearthcover, land-water, louisiana, mapping, marsh, protection, restoration, scrub-shrub-wetland, state-of-louisiana, usgs-611d2a7bd34e40dd9c012901, wetland, wetland-ecosystems, wetland-restoration
Organization: Department of the Interior
Coastwide Reference Monitoring System (CRMS) 2018 Site 0232 land-water classification data

Wetland restoration efforts conducted by the Coastal Wetlands Planning, Protection and Restoration Act (CWPPRA) in Louisiana rely on monitoring efforts to determine the efficacy of these efforts. The Coastwide Reference Monitoring System (CRMS) was developed to assist in a multiple-reference approach that uses aspects of hydrogeomorphic functional assessments and probabilistic sampling for monitoring. The CRMS program includes a suite of approximately 398 sites that encompass the range of hydrological and ecological conditions for each stratum. As part of CRMS, land and water classifications are created from Digital Orthophoto Quarter Quadrangles (DOQQs) approximately every three years at all CRMS sites. A DOQQ is a raster image in which displacement in the image caused by sensor orientation and terrain relief has been removed and combines the image characteristics of a photo with geometric qualities of a map. The DOQQs generated for this project consist of 2018 Color Infrared (CIR) Digital Imagery. These images were classified into land and water categories using a threshold of the near infrared (NIR) band, followed by supervised and unsupervised classification.  Initial classification results are then reviewed by multiple image analysts to identify and manually recode errors. The final land-water classifications are intended to serve as both geographic and quantitative assessments of landscape composition on the date of acquisition. Four previous assessments have been conducted (2005, 2008, 2012, and 2015/2016). Once the program creates enough data points for statistical analyses, these data will be used for land area change rate calculation.

Tags: alteration-of-wetland-habitats, cartography, coastal, coastal-louisiana, crms, doqq, emergent-wetland, forested-wetland, geographic-information-system, imagerybasemapsearthcover, land-water, louisiana, mapping, marsh, protection, restoration, scrub-shrub-wetland, state-of-louisiana, usgs-611d2a79d34e40dd9c0128ff, wetland, wetland-ecosystems, wetland-restoration
Organization: Department of the Interior
Egg morphometric data obtained for White-faced Ibis nesting in Bear River Migratory Bird Refuge, Great Salt Lake, Utah (2010-2012)

This data consists of egg morphometric data from White-faced Ibis. Eggs were collected in the field and then measured and dissected in the lab to obtain estimates of length, width and mass.

Tags: biota, birds, field-inventory-and-monitoring, usgs-61128719d34ee985ddc381c2, wildlife
Organization: Department of the Interior
Historical and future ecological drought conditions for rangelands of the western U.S.

These NetCDF data were compiled to investigate how rangelands in the western U.S. are limited by access to water. As a result, these ecosystems may be especially vulnerable to changes in water availability and drought as a result of climate change.  This project utilized an ecosystem water balance model to quantify spatial and temporal patterns of rangeland ecological drought conditions under historical and future climate conditions. Water balance results were used to estimate several metrics that describe the seasonal timing and amount of moisture available for plant utilization in western rangelands.
These data represent different aspects of water availability and drought. They are based on 1/16-degree gridded simulations using the SOILWAT2 ecosystem water balance model (Schlaepfer et al. 2021) for areas of the western USA where the models represent vegetation structure and ecohydrological upland processes under historical and future condition, i.e., drylands where aridity index (AI) =  ratio of annual precipitation amount to annual potential evapotranspiration, is less than 0.65 excluding the warm-moist portion (areas where mean monthly temperature &gt; 4 C and April-June precipitation &gt; 75 mm). The temporal coverage of these NetCDF data consist of a historical annual or quarterly times-series over 1971-2010 (simulations driven by daily meteorological inputs from Livneh et al. 2013) and future projected climatologies (means across years) over 2021-2060 and 2061-2100 using downscaled output from 11 climate models that participated in CMIP5 experiment RCP4.5 (representative concentration pathway). The 11 climate models include: CanESM2, CESM1-CAM5, CSIRO-Mk3-6-0, CNRM-CM5, FGOALS-g2, FGOALS-s2, GISS-E2-R, HadGEM2-ES, inmcm4, IPSL-CM5A-MR, MIROC-ESM (downscaled for North America and obtained from the “Downscaled CMIP3 and CMIP5 Climate and Hydrology Projects” archive; Maurer et al. 2007). Soil properties were derived from the ISRIC WISE30sec dataset (Batjes 2016). To capture the spread across SOILWAT2 simulation runs based on the 11 GCMs for each future time period and RCP, we provide data representing the gridcell-wise median, low (2nd lowest ranked value), high (2nd largest ranked value), and robustness (number of runs that agree in the direction of change between the future projected median and historical conditions). 
These data were created by the U.S. Geological Survey.

Tags: 10-km-resolution, arizona, atmospheric-and-climatic-processes, biota, california, climate-change, colorado, ecological-processes, ecosystems, effects-of-climate-change, future-projected-climate, geoscientificinformation, idaho, montana, nebraska, nevada, new-mexico, north-dakota, oregon, process-based-model, recent-climate, regeneration, regression-based-model, restoration, soil-moisture, south-dakota, terrestrial-ecosystems, texas, usgs-611286eed34ee985ddc381b2, utah, washington, western-united-states, wyoming
Organization: Department of the Interior
Pre-rehabilitation Biological Assessment of the Lower Maumee River, Ohio, 2019

Data are from biological and physical environmental assessments conducted during 2019 in the Maumee River, Ohio. Sites were located from river kilometer 24 to 11. Water quality parameters, fishes, invertebrates, and river channel characteristics were assessed during 2019 from May-September. Previously established standardized sampling methods were used during all assessments.

Tags: benthos, boundaries, environmental-assessment, fish, inlandwaters, maumee-river, ohio, usgs-610c11ead34ef8d70569831e
Organization: Department of the Interior
Nodal Seismic Deployment at KCT and Lost Coast Headlands

Between October 12, 2019 and December 13, 2019, the U.S. Geological Survey deployed 30 nodal seismometers in Humboldt county CA for the purpose of recording seismicity in the subducting Gorda plate.  20 instruments were deployed at the McBride ranch, around NCSN station KCT, and 10 were deployed at the Bureau of Land Management’s Lost Coast Headlands property.   The nodes were replaced in mid-November after one month of recording due to battery life.

Tags: earthquake, usgs-60fb6128d34e3ccd8302ca16
Organization: Department of the Interior
Sediment Profiles - Eminence Break (RM 44) 2008 Data

These profiles of suspended-sediment concentration were collected and compiled to characterize suspended sediment in the Colorado River during both average flow conditions and during a controlled flood that occurred in March 2008. The objectives of the study were to measure changes in suspended sediment that occurred during changes in discharge associated with the controlled flood. These data were collected between March 4 and March 10, 2008 in the center of the channel 44.64 river miles downstream from Lees Ferry, Arizona on the Colorado River within Grand Canyon National Park. The sampling location was within a 1-mile study reach beginning 0.14 miles upstream from the sampling location. These data were collected by the USGS Grand Canyon Monitoring and Research Center with cooperators from Northern Arizona University and funding provided by the Glen Canyon Dam Adaptive Management Program. All samples were collected with USGS P-61 point integrating sampler. Samples were processed for silt and clay concentration, sand concentration, and sand grain size using standard methods. These data can be used to study suspended sediment concentration, which can be used in predictions of sediment transport and can be used to develop, calibrate, and verify transport models.

Tags: arizona, colorado-river, controlled-flooding, eminence-break, eminence-break-field-site, field-sampling, glen-canyon-dam, glen-canyon-dam-adaptive-management-program, grain-size, grain-size-analysis, grand-canyon-national-park, inlandwaters, lees-ferry, marble-canyon, river-mile-44-64, sediment-transport, suspended-sediment, suspended-sediment-concentration, usgs-60f9e529d34e3ccd82feebb5, usgs-grand-canyon-monitoring-and-research-center, vertical-profile, water-sampling
Organization: Department of the Interior