AndreaBozzo/ceres-open-data-index huggingface dataset:
Topographic survey transect data along the Carmel River, central California, 2013 to 2021 (ver. 2.0, March 2022)

Topographic surveys were completed during eight summer surveys (in 2013, 2014, 2015, 2016, 2017, 2019, 2020 and 2021) at 10 sites along the Carmel River, CA: Berwick (BW), Control Reach (CR), Crossroads (CRO), DeDampierre Lower (DDL), DeDampierre Upper (DDU), Dam Reach (DM), Reservoir Reach (RS), San Carlos (SC), Sleepy Hollow (SH), and Schulte Road (SR)). Topographic measurements were made at multiple locations along four to six cross-section transects per site using a total station (at sites CR, RS, DM and SH) and with an auto level and survey rod (at sites DDU, DDL, BW, SR, SC and CRO). This dataset contains the cross-sectional elevation measurements for each transect and survey year. The elevation measurement locations along each transect were located by measuring distances between corresponding endpoint coordinates, starting from river left (see accompanying file within this data release for topographic survey transect endpoint coordinates). For the transects measured with a total station (CR, RS, DM and SH), horizontal coordinates, elevation and distance from the left bank end point are provided. For the transects measured with an auto level (DDU, DDL, BW, SR, SC and CRO), only elevation and distance from left bank end point are provided (horizontal coordinates are defined as NULL for these transects). Vertical coordinates are referenced to the NAVD88 vertical datum, in units of meters. Horizontal coordinates are referenced to the NAD83(2011) reference frame, projected in Universal Transverse Mercator (UTM) coordinates (zone 10N).
These data supersede grain-size data originally published in 2017 at https://doi.org/10.5066/F74M93HF.

Tags: bathymetry-and-elevation, carmel-river, carmel-valley, cmgp, coastal-and-marine-geology-program, field-inventory-and-monitoring, gravel-deposits, inland-fishery-resources, inlandwaters, monterey-county, pacific-coastal-and-marine-science-center, pcmsc, river-reaches, river-systems, san-clemente-dam, topographic-mapping, topography, u-s-geological-survey, usgs, usgs-61ef2f19d34e8b818adb7ba7
Organization: Department of the Interior
Grain size data from the Carmel River, central California, 2013 to 2021 (ver. 2.0, March 2022)

Pebble-count data were collected during summer surveys (2013, 2015, 2016, 2017, 2018, 2019, 2020, and 2021) at ten sites along the Carmel River, California. Grain-size measurements were made at four to six transects per site using a 0.5 by 0.5 m sampling frame, with approximately 100 sediment-particle counts per transect. Each transect was defined by coordinates on the left and right sides of the river, and sediment grain sizes were measured at five equally spaced locations within the bankfull channel on the transect defined by those endpoint coordinates (see accompanying file within this data release for transect endpoint coordinates). The grain-size data file reports spatial information as being the midpoint of the transect.
Grain-size diameters were measured using a gravelometer. We report grain-size values to the next size class up in this spreadsheet, that is, the size gradation that the sediment grain passed through on the gravelometer frame, with the data being analogous to the percent passing in sieve analyses.
These data supersede grain-size data originally published in 2017 at https://doi.org/10.5066/F74M93HF.

Tags: carmel-river, carmel-valley, cmhrp, coastal-and-marine-hazards-and-resources-program, field-inventory-and-monitoring, grain-size-analysis, gravel-deposits, inland-fishery-resources, inlandwaters, monterey-county, pacific-coastal-and-marine-science-center, pcmsc, river-bank, river-channel, river-reaches, river-systems, san-clemente-dam, sediment-deposition, sieve-size-analysis, substrate, u-s-geological-survey, usgs, usgs-61ef2f4ad34e8b818adb7bac
Organization: Department of the Interior
Mineral Commodity Summaries 2022 - ZIRCONIUM AND HAFNIUM Data Release

This data release contains the U.S. salient statistics and world production data extracted from the ZIRCONIUM AND HAFNIUM data sheet of the USGS Mineral Commodity Summaries 2022.

Tags: hafnium, metallic-mineral-resources, usgs-61ead3add34e8b818ad9f42f, zircon, zirconium
Organization: Department of the Interior
Mineral Commodity Summaries 2022 - ZEOLITES (NATURAL) Data Release

This data release contains the U.S. salient statistics and world production data extracted from the ZEOLITES (NATURAL) data sheet of the USGS Mineral Commodity Summaries 2022.

Tags: chabazite, clinoptilolite, erionite, ferrierite, nonmetallic-mineral-resources, phillipsite, usgs-61ead3aad34e8b818ad9f42b, zeolites
Organization: Department of the Interior
Mineral Commodity Summaries 2022 - WOLLASTONITE Data Release

This data release contains the U.S. salient statistics and world production data extracted from the WOLLASTONITE  data sheet of the USGS Mineral Commodity Summaries 2022.

Tags: nonmetallic-mineral-resources, usgs-61ead3a7d34e8b818ad9f427, wollastonite
Organization: Department of the Interior
Videos

This child item contains the raw videos captured by small Unoccupied Aircraft Systems (sUAS) at each field site.  
&lt;br&gt;
Each Field Site is abbreviated in various files in this data release. File and folder names are used to quickly identify which site a particular file or dataset represents. The following abbreviations are used:
&lt;ul&gt;
&lt;li&gt;ACR: Androscoggin River, Auburn, Maine, USA&lt;/li&gt;
&lt;li&gt;AFR: Agua Fria River, near Rock Springs, Arizona, USA&lt;/li&gt;
&lt;li&gt;CCC: Coachella Canal above All-American Canal Diversion, California, USA&lt;/li&gt;
&lt;li&gt;CMC: Cochiti East Side Main Channel, near Cochiti, New Mexico, USA&lt;/li&gt;
&lt;li&gt;GLR: Gila River near Dome, Arizona, USA&lt;/li&gt;
&lt;li&gt;RMC: Reservation Main Canal near Yuma, Arizona, USA&lt;/li&gt;
&lt;li&gt;SMC: Sile Main Canal (at head) at Cochiti, New Mexico, USA&lt;/li&gt;
&lt;li&gt;WMD: Wellton-Mohawk Main Outlet Drain near Yuma, Arizona, USA&lt;/li&gt;
&lt;/ul&gt;

Tags: acoustic-doppler-current-profiling, aerial-video, agua-fria-river-maricopa-county-arizona-usa, androscoggin-river-androscoggin-county-maine-usa, auburn-androscoggin-county-maine-usa, coachella-canal-imperial-county-california-usa, cochiti-lake-reservoir-sandoval-county-new-mexico-usa, cochiti-main-canal-cochiti-lake-sandoval-county-new-mexico-usa, drone, gila-river-yuma-county-arizona-usa, great-falls-androscoggin-county-maine-usa, hydrographic-datasets, imperial-valley-imperial-county-california-usa, inlandwaters, kinter-yuma-county-arizona-usa, remote-sensing, reservation-main-canal-imperial-county-california-usa, stream-discharge, stream-gage-measurement, streamflow, suas, unmanned-aircraft-system, unoccupied-aircraft-system, usgs-61eb3215d34e8b818ada9151, usgs-science-data-catalog-sdc, videography, water-resources
Organization: Department of the Interior
Mineral Commodity Summaries 2022 - VERMICULITE Data Release

This data release contains the U.S. salient statistics and world production data extracted from the VERMICULITE data sheet of the USGS Mineral Commodity Summaries 2022.

Tags: nonmetallic-mineral-resources, usgs-61ead3a5d34e8b818ad9f425, vermiculite
Organization: Department of the Interior
Mineral Commodity Summaries 2022 - VANADIUM Data Release

This data release contains the U.S. salient statistics and world production data extracted from the VANADIUM data sheet of the USGS Mineral Commodity Summaries 2022.

Tags: ferrovanadium, metallic-mineral-resources, usgs-61ead3a3d34e8b818ad9f423, vanadium
Organization: Department of the Interior
Mineral Commodity Summaries 2022 - TITANIUM AND TITANIUM DIOXIDE Data Release

This data release contains the U.S. salient statistics and world production data extracted from the TITANIUM AND TITANIUM DIOXIDE data sheet of the USGS Mineral Commodity Summaries 2022.

Tags: metallic-mineral-resources, titanium, titanium-dioxide, usgs-61ead39fd34e8b818ad9f41f
Organization: Department of the Interior
Ancillary Scripts

This child item contains Mathworks MATLAB script files which reproduce the processing steps for each dataset. The following scripts are included:
&lt;br&gt;
MATLAB scripts to process the images extracted from sUAS videos for each site. See the FGDC metadata Data Quality Section Process Step 1 for details on these scripts:
&lt;ul&gt;
&lt;li&gt;ACR_PIVLab_Script.m&lt;/li&gt;
&lt;li&gt;AFR_PIVLab_Script.m&lt;/li&gt;
&lt;li&gt;CCC_PIVLab_Script.m&lt;/li&gt;
&lt;li&gt;CMC_PIVLab_Script.m&lt;/li&gt;
&lt;li&gt;GLR_PIVLab_Script.m&lt;/li&gt;
&lt;li&gt;RMC_PIVLab_Script.m&lt;/li&gt;
&lt;li&gt;SMC_PIVLab_Script.m&lt;/li&gt;
&lt;li&gt;WMD_PIVLab_Script.m&lt;/li&gt;
&lt;/ul&gt;
&lt;br&gt;
MATLAB scripts to post process the data into the form supplied in this data release. See the FGDC metadata Data Quality Section Process Steps 2 and 3 for details on these scripts:
&lt;ul&gt;
&lt;li&gt;CalibrateData.m&lt;/li&gt;
&lt;li&gt;CreatePlots.m&lt;/li&gt;
&lt;/ul&gt;
&lt;br&gt;
Each Field Site is abbreviated in various files in this data release. File and folder names are used to quickly identify which site a particular file or dataset represents. The following abbreviations are used:
&lt;ul&gt;
&lt;li&gt;ACR: Androscoggin River, Auburn, Maine, USA&lt;/li&gt;
&lt;li&gt;AFR: Agua Fria River, near Rock Springs, Arizona, USA&lt;/li&gt;
&lt;li&gt;CCC: Coachella Canal above All-American Canal Diversion, California, USA&lt;/li&gt;
&lt;li&gt;CMC: Cochiti East Side Main Channel, near Cochiti, New Mexico, USA&lt;/li&gt;
&lt;li&gt;GLR: Gila River near Dome, Arizona, USA&lt;/li&gt;
&lt;li&gt;RMC: Reservation Main Canal near Yuma, Arizona, USA&lt;/li&gt;
&lt;li&gt;SMC: Sile Main Canal (at head) at Cochiti, New Mexico, USA&lt;/li&gt;
&lt;li&gt;WMD: Wellton-Mohawk Main Outlet Drain near Yuma, Arizona, USA&lt;/li&gt;
&lt;/ul&gt;
&lt;strong&gt;Software Requirements&lt;/strong&gt;
To execute the scripts included in this child item, users will need to have the following software:
&lt;ol&gt;
&lt;li&gt;Mathworks MATLAB. Users can install a free trial version of MATLAB by going to the Mathworks site (https://matlab.mathworks.com/).&lt;/li&gt;
&lt;li&gt;The scripts in this child item have a dependency on the PIVLab open source souftware, version 2.55 or newer. PIVLab can be downloaded from this website: https://pivlab.blogspot.com/&lt;/li&gt;
&lt;/ol&gt;

Tags: acoustic-doppler-current-profiling, aerial-video, drone, hydrographic-datasets, inlandwaters, remote-sensing, stream-discharge, stream-gage-measurement, streamflow, suas, unmanned-aircraft-system, unoccupied-aircraft-system, usgs-61eb3233d34e8b818ada9153, usgs-science-data-catalog-sdc, videography, water-resources
Organization: Department of the Interior
NASA GIFT Iceland Highlands: 2019 Oskjuvatn LiDAR

LiDAR scans were taken using a tripod mounted Riegl VZ-400 scanning LiDAR. The tripod was set up such that the scanner was between 1.5 and 2.5 m tall. The VZ-400 is a near infrared (1550 nm) scanner. Geometric control was achieved using a pair of Trimble RB GPS antennae, one mounted on the LiDAR scanner (rover) and the other setup as a base station. Before taking a LiDAR scan, the VZ-400 would use the GPS to fix a real time kinematic (RTK) solution for the scanner’s location and then use that position (scan position) as a reference for LiDAR returns. Post processing was done using RIScan-Pro version 2 (scanner specific software). Also, in post-processing, overlapping areas of point clouds were merged and inaccuracies in roll, pitch and yaw, were resolved using a multi station adjustment routine. The data were projected in UTM coordinates for export. Once post-processed, data were exported in “.las” format with LiDAR reflectance (infrared) saved as intensity. The point cloud is georeferenced and projected in UTM Zone 28 North and generally has  &lt; 1 cm point spacing, however spacing varies locally and depending on the distance from the scanner to the target.

Tags: askja, caldera, geoscientificinformation, iceland, intra-caldera, pumice, surge-beds, tsunamis, usgs-61eb49afd34e8b818ada91b6, volcanic-ash, volcanology
Organization: Department of the Interior
Mineral Commodity Summaries 2022 - TITANIUM MINERAL CONCENTRATES Data Release

This data release contains the U.S. salient statistics and world production data extracted from the TITANIUM MINERAL CONCENTRATES data sheet of the USGS Mineral Commodity Summaries 2022.

Tags: ilmenite, leucoxene, metallic-mineral-resources, rutile, titanium-mineral-concentrates, usgs-61ead39bd34e8b818ad9f41d
Organization: Department of the Interior
Austropuccinia Quantitative PCR Results from Passive Environmental Samplers 2016 - 2017

These data contain sample information and locality and quantitative polymerase chain reaction (qPCR) results from extraction and testing of individual tape strips within Passive Environmental Samplers (PES).  Samplers were placed at 5 locations on Hawaii Island between 2016 and 2017.

Tags: austropuccina-psidii, biota, ceratocystis-huliohia, ceratocystis-lukuohia, environmental-dna, ohia-lehua, ohia-rust, passive-environmental-sampler, rapid-ohia-death, usgs-61dfcc28d34e0e50e7233f2f
Organization: Department of the Interior
Genbank Accession Numbers for DNA Sequences Amplified from a Subset of Environmental Samplers 2016 - 2017

These data contain Genbank Accession numbers for DNA amplified and sequenced from a subset of Environmental Samplers that were positive for Ceratocystis lukuohia and Austropuccinia  by quantitative PCR (qPCR)

Tags: austropuccinia-psidii, biota, ceratocystis-huliohia, ceratocystis-lukuohia, environmental-dna, ohia-lehua, ohia-rust, rapid-ohia-death, usgs-61df8a04d34e0e50e7232584
Organization: Department of the Interior
Genomic and Demographic data from the San Francisco gartersnake

We used genome-wide single nucleotide polymorphism (SNP) data and capture-mark-recapture methods to evaluate the genetic diversity and demography within seven focal sites of the endangered San Francisco gartersnake (Thamnophis sirtalis tetrataenia).
As Thamnophis sirtalis tetrataenia is listed as endangered by the U.S. Fish and Wildlife Service (USFWS), sensitive location information can be made available upon request by contacting Brian J. Halstead and/or Amy G. Vandergast.

Tags: biota, effective-population-size, endangered-species, genetic-diversity, population-and-community-ecology, san-francisco-peninsula, san-mateo-county, santa-clara-county, santa-cruz-county, thamnophis, usgs-61df7e75d34e0e50e7232578
Organization: Department of the Interior
Land surface thermal feature (MaxLST) change monitoring in urban and urban wild land interface in 50 cities of CONUS from 1985-2020

We developed an approach to quantify Urban Heat Island (UHI) extent and intensity in 50 cities of CONUS and its surrounding area by using surface temperature from Landsat surface temperature product in a time series manner.  Landsat land surface temperature from Landsat Analysis Ready Data (ARD) were used to quantify surface temperature changes from 1985 to 2020. The current study assessed UHI intensity and its variations associated with urban development in an annual basis. Two datasets, over the study period, show that the maximum surface temperature in the high intensity urban area significantly increased while no significant trend was found in surrounding non-urban areas. These released datasets were spatially in 30 meters resolution and annual averages between 1985 to 2020. NOTE: While a previous version is available from the author, all the datasets for pilot cities in previous version can be found in version 4.1.1.
First posted - November 01, 2019 (available from author)
Revised - August 20, 2020 (version 2.0)
Revised - May 20, 2020 (version 3.0)
Revised - January 20, 2022 (version 4.1.1)

Tags: albuquerquenm-atlantaga-austintx-baltimoremd-birminghamal-boiseid-bostonma-charlottenc-cheyenne, climatologymeteorologyatmosphere, conus, environment, heat-flow-earth, image-collections, land-use-change, landsat-analysis-ready-data-ard, landsat-ard, maximum-land-surface-temperature, multispectral-imaging, united-states, urban-heat-island, usgs-61e05c9cd34e8911d9fe9d73
Organization: Department of the Interior
Capture-mark-recapture data for San Francisco Gartersnakes in San Mateo County, California, 2018

Capture-mark-recapture data from San Francisco Gartersnakes at five sites in San Mateo County, California in 2018. These data include capture histories, snout-vent lengths, and sex for individual snakes. R files included with the data fit closed capture-mark-recapture models to estimate the abundance of adult snakes at each site in 2018.

Tags: biota, conservation, population-abundance, reptiles, usgs-61df7dced34e0e50e7232575
Organization: Department of the Interior
San Francisco gartersnake (Thamnophis sirtalis tetrataenia) genomic and demographic data from San Mateo County and northeastern Santa Cruz County collected between 2016 - 2018

Conversion and fragmentation of wildlife habitat often leads to smaller and isolated populations and can reduce a species’ ability to disperse across the landscape. As a consequence, genetic drift can quickly lower genetic variation and increase vulnerability to extirpation. For species of conservation concern, quantification of population size and connectivity can clarify the influence of genetic drift in local populations and provides important information for conservation management and recovery strategies. Here, we used genome-wide single nucleotide polymorphism (SNP) data and capture-mark-recapture methods to evaluate the population structure, genetic diversity and abundance of seven focal sites of the endangered San Francisco gartersnake (Thamnophis sirtalis tetrataenia), a species affected by alteration and isolation of wetland habitats throughout its distribution. We also used temporally sampled datasets to examine the magnitude of genetic change over time.

Tags: biota, conservation, effective-population-size, endangered-species, genetic-diversity, population-abundance, population-and-community-ecology, reptiles, san-francisco-peninsula, san-mateo-county-california, santa-clara-county, santa-cruz-county, thamnophis, usgs-61df7bcfd34e0e50e723256c
Organization: Department of the Interior
Soil carbon storage in the edge environments of five salt marshes, Humboldt Bay, CA, 2018

Blue carbon storage in coastal vegetated habitats is an important component of the global carbon cycle. In 2018, shallow sediment cores were collected in five USGS study marshes located in Humboldt Bay, CA. The cores were collected within 2 meters of the marsh edge to characterize carbon storage in areas susceptible to marsh edge erosion. Two sediment cores were collected in each of the five study marshes (Mad River, Manila, Jacoby, White, Hookton) using an Ejkelkamp peat sampler (52 mm diameter). The sampler was pounded in the sediments with a heavy plastic mallet. This method produces little to no compaction because once inserted, the corer is rotated 180°, and a sample is collected adjacent to where it was driven into the ground. A total of 10 shallow cores (1-meter) were collected with one exception. At the Jacoby South (CoreID - JSF1) a sandy substrate limited the core depth to 50 cm. The cores were sectioned at 10 cm intervals in the field and placed in labeled, pre-weighed metal tins. The 10-cm core sections were transported on ice and held in cold-storage. The 10-cm core sections were weighed, dried at 50 °C for 72 hours, and then re-weighed. Bulk density was determined by dividing the dry weight by the core volume for each 10 cm section of core. Dried core sections were analyzed for percent organic carbon at the University of California, Davis Analytical Lab (https://anlab.ucdavis.edu/) using acid fumigation and dynamic flash combustion. Replicate samples were run every 10 samples to check for instrument drift and the lab detection limit for percent organic carbon was 0.02.

Tags: biota, blue-carbon, bulk-density, california, carbon-storage, estuarine-processes, hookton-marsh, humboldt-bay, humboldt-county, jacoby-marsh, mad-river-marsh, manila-marsh, marsh-ecosystems, salt-marsh, usgs-61df7b6ed34e0e50e7232569, white-marsh
Organization: Department of the Interior
Daily streamflow performance benchmark defined by D-score (v0.1) for the NHM (v1 byObs Muskingum) at benchmark streamflow locations

This data release contains the D-score (version 0.1) daily streamflow performance benchmark results for the National Hydrologic Model Infrastructure application of the Precipitation-Runoff Modeling System (NHM-PRMS) version 1 "byObs" calibration with Muskingum routing (Hay and LaFontaine, 2020) computed at streamflow benchmark locations (version 1.0) as defined by Foks and others (2022). Model error was determined by evaluating predicted daily mean streamflow versus observed daily mean streamflow. Using those errors, the D-score performance benchmark computes the mean squared logarithmic error (MSLE), then decomposes the overall MSLE into orthogonal components such as bias, distribution, and sequence (Hodson and others, 2021). For easier interpretation, the MSLE components can be passed through a scoring function as described in Hodson and others (2021).

Tags: inlandwaters, mean-squared-error, model-evaluation, streamflow-prediction, usgs-61df4601d34ed79294021f80
Organization: Department of the Interior
Land surface thermal feature (MeanLST) change monitoring in urban and urban wild land interface in 50 cities of CONUS from 1985-2020

We developed an approach to quantify Urban Heat Island (UHI) extent and intensity in 50 cities of CONUS and its surrounding area by using surface temperature from Landsat surface temperature product in a time series manner.  Landsat land surface temperature from Landsat Analysis Ready Data (ARD) were used to quantify surface temperature changes from 1985 to 2020. The current study assessed UHI intensity and its variations associated with urban development in an annual basis. Two datasets, over the study period, show that the maximum surface temperature in the high intensity urban area significantly increased while no significant trend was found in surrounding non-urban areas. These released datasets were spatially in 30 meters resolution and annual averages between 1985 to 2020. NOTE: While a previous version is available from the author, all the datasets for polite cities in previous version can be found in version 4.1.1
First posted - November 01, 2019 (available from author)
Revised - August 20, 2020 (version 2.0)
Revised - May 20, 2021 (version 3.0)
Revised - January 20, 2022 (version 4.1.1)

Tags: albuquerquenm-atlantaga-austintx-baltimoremd-birminghamal-boiseid-bostonma-charlottenc-cheyenne, annual-mean-land-surface-temperature, climatologymeteorologyatmosphere, conus, environment, heat-flow-earth, image-collections, land-use-change, landsat-analysis-ready-data-ard, landsat-ard, multispectral-imaging, united-states, urban-heat-island, usgs-61e05d2bd34e8911d9fe9d7a
Organization: Department of the Interior
Long-distance movements of non-migratory golden eagles in western North America, 2007-2017

We studied &gt;500 golden eagles tracked by telemetry over a 10-year period in western North America, of which 160 engaged in non-routine, long-distance (&gt;300 km) movements.  We identified spatial and temporal correlates of those movements at both small and large scales, and we quantified movement timing and direction.  We further tested which age and sex classes of eagles were more likely to engage in these movements.  This dataset includes data on daily distances and their correlates, long-distance event distances and durations and their correlates, event timing and directions, and eagle ages and sexes.

Tags: animal-behavior, biota, birds, canada, environment, mexico, terrestrial-ecosystems, usgs-61df4103d34ed79294021f6a, western-united-states
Organization: Department of the Interior