cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.25582/data.2024-02.3029971/2516592
title: Data for EMSL Project 51874 from February 2024
DOI: 10.25582/data.2024-02.3030346/2516593
title: Data for EMSL Project 51874 from February 2024
DOI: 10.25582/data.2024-02.3029983/2516594
title: Data for EMSL Project 60461 from February 2024
DOI: 10.25582/data.2024-02.3030022/2516595
title: Data for EMSL Project 60606 from February 2024
DOI: 10.25582/data.2024-02.3030023/2516596
title: Data for EMSL Project 60606 from February 2024
DOI: 10.25582/data.2024-02.3030030/2516597
title: Data for EMSL Project 60606 from February 2024
DOI: 10.25582/data.2024-02.3030036/2516598
title: Data for EMSL Project 60606 from February 2024
DOI: 10.25582/data.2024-02.3030043/2516599
title: Data for EMSL Project 60606 from February 2024
DOI: 10.25582/data.2024-02.3030053/2516600
title: Data for EMSL Project 60606 from February 2024
DOI: 10.25582/data.2024-02.3030059/2516601
title: Data for EMSL Project 60606 from February 2024
DOI: 10.25582/data.2024-02.3030064/2516602
title: Data for EMSL Project 60606 from February 2024
DOI: 10.25582/data.2024-02.3030068/2516603
title: Data for EMSL Project 60606 from February 2024
DOI: 10.25582/data.2024-02.3030081/2516604
title: Data for EMSL Project 60606 from February 2024
DOI: 10.25582/data.2024-02.3030082/2516605
title: Data for EMSL Project 60606 from February 2024
DOI: 10.25582/data.2024-02.3030097/2516606
title: Data for EMSL Project 60606 from February 2024
DOI: 10.25582/data.2024-02.3030104/2516607
title: Data for EMSL Project 60606 from February 2024
DOI: 10.25582/data.2024-02.3030115/2516608
title: Data for EMSL Project 60606 from February 2024
DOI: 10.25582/data.2024-02.3030121/2516609
title: Data for EMSL Project 60606 from February 2024
DOI: 10.25582/data.2024-02.3030137/2516610
title: Data for EMSL Project 60606 from February 2024
DOI: 10.25582/data.2024-02.3030165/2516611
title: Data for EMSL Project 51619 from February 2024
DOI: 10.25582/data.2024-02.3030173/2516612
title: Data for EMSL Project 51619 from February 2024
DOI: 10.15468/dl.rv7ht4
title: Occurrence Download

description: A dataset containing 3568 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Lithobates forreri (Boulenger, 1883)"
 ]
}

 The dataset includes 3568 records from 50 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000954-250214102907787/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25582/data.2024-02.3030241/2516613
title: Data for EMSL Project 51619 from February 2024
DOI: 10.25582/data.2024-02.3030254/2516614
title: Data for EMSL Project 51619 from February 2024
DOI: 10.25582/data.2024-02.3030266/2516615
title: Data for EMSL Project 51619 from February 2024
DOI: 10.15468/dl.h8h858
title: Occurrence Download

description: A dataset containing 78334 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Lithobates pipiens (Schreber, 1782)"
 ]
}

 The dataset includes 78334 records from 132 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000953-250214102907787/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25582/data.2024-02.3030267/2516616
title: Data for EMSL Project 51619 from February 2024
DOI: 10.25582/data.2024-02.3030268/2516617
title: Data for EMSL Project 51619 from February 2024
DOI: 10.25582/data.2024-02.3030279/2516618
title: Data for EMSL Project 51619 from February 2024
DOI: 10.25582/data.2024-02.3030320/2516619
title: Data for EMSL Project 51619 from February 2024
DOI: 10.25582/data.2024-02.3030334/2516620
title: Data for EMSL Project 51619 from February 2024
DOI: 10.25582/data.2024-02.3030340/2516621
title: Data for EMSL Project 51619 from February 2024
DOI: 10.25582/data.2024-02.3030357/2516622
title: Data for EMSL Project 51619 from February 2024
DOI: 10.25582/data.2024-02.3030358/2516623
title: Data for EMSL Project 51619 from February 2024
DOI: 10.25582/data.2024-02.3030359/2516624
title: Data for EMSL Project 51619 from February 2024
DOI: 10.15468/dl.rekx9e
title: Occurrence Download

description: A dataset containing 19153 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Lithobates berlandieri (Baird, 1859)"
 ]
}

 The dataset includes 19153 records from 111 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000955-250214102907787/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25582/data.2024-02.3030403/2516625
title: Data for EMSL Project 51619 from February 2024
DOI: 10.25582/data.2024-02.3030421/2516626
title: Data for EMSL Project 51619 from February 2024
DOI: 10.25582/data.2024-02.3030430/2516627
title: Data for EMSL Project 51619 from February 2024
DOI: 10.25582/data.2024-02.3030431/2516628
title: Data for EMSL Project 51619 from February 2024
DOI: 10.25582/data.2024-02.3030432/2516629
title: Data for EMSL Project 51619 from February 2024
DOI: 10.25582/data.2024-02.3030433/2516630
title: Data for EMSL Project 51619 from February 2024
DOI: 10.25582/data.2024-02.3030512/2516631
title: Data for EMSL Project 51619 from February 2024
DOI: 10.25582/data.2024-02.3030526/2516632
title: Data for EMSL Project 51619 from February 2024
DOI: 10.25582/data.2024-02.3030536/2516633
title: Data for EMSL Project 51619 from February 2024
DOI: 10.25582/data.2024-02.3030537/2516634
title: Data for EMSL Project 51619 from February 2024
DOI: 10.25582/data.2024-02.3030538/2516635
title: Data for EMSL Project 51619 from February 2024
DOI: 10.25582/data.2024-02.3030543/2516636
title: Data for EMSL Project 51619 from February 2024
DOI: 10.25582/data.2024-02.3030787/2516637
title: Data for EMSL Project 51619 from February 2024
DOI: 10.25582/data.2024-02.3030804/2516638
title: Data for EMSL Project 51619 from February 2024
DOI: 10.15468/dl.zgfwjy
title: Occurrence Download

description: A dataset containing 307 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Lithobates sierramadrensis (Taylor, 1939)"
 ]
}

 The dataset includes 307 records from 30 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000956-250214102907787/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25582/data.2024-02.3030453/2516639
title: Data for EMSL Project 51858 from February 2024
DOI: 10.25582/data.2024-02.3030475/2516640
title: Data for EMSL Project 51865 from February 2024
DOI: 10.25582/data.2024-02.3030485/2516641
title: Data for EMSL Project 51912 from February 2024
DOI: 10.25582/data.2024-02.3030548/2516642
title: Data for EMSL Project 51912 from February 2024
DOI: 10.25582/data.2024-02.3030797/2516643
title: Data for EMSL Project 60544 from February 2024
DOI: 10.25582/data.2024-02.3030799/2516644
title: Data for EMSL Project 60009 from February 2024
DOI: 10.15468/dl.bf7qvc
title: Occurrence Download

description: A dataset containing 2497 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Lithobates maculatus (Brocchi, 1877)"
 ]
}

 The dataset includes 2497 records from 50 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000957-250214102907787/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25582/data.2025-02.3379104/2516645
title: Data for EMSL Project 60932 from February 2025
DOI: 10.25582/data.2025-02.3379179/2516646
title: Data for EMSL Project 60932 from February 2025
DOI: 10.25582/data.2025-02.3379197/2516647
title: Data for EMSL Project 60932 from February 2025
DOI: 10.25582/data.2025-02.3379214/2516648
title: Data for EMSL Project 60932 from February 2025
DOI: 10.25582/data.2025-02.3379227/2516649
title: Data for EMSL Project 60932 from February 2025
DOI: 10.25582/data.2025-02.3379245/2516650
title: Data for EMSL Project 60932 from February 2025
DOI: 10.25582/data.2025-02.3379265/2516651
title: Data for EMSL Project 60932 from February 2025
DOI: 10.25582/data.2025-02.3379299/2516652
title: Data for EMSL Project 60932 from February 2025
DOI: 10.25582/data.2025-02.3379378/2516653
title: Data for EMSL Project 60932 from February 2025
DOI: 10.15468/dl.uf486q
title: Occurrence Download

description: A dataset containing 2508 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Lithobates brownorum (Sanders, 1973)"
 ]
}

 The dataset includes 2508 records from 43 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000958-250214102907787/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25582/data.2025-02.3379402/2516654
title: Data for EMSL Project 60932 from February 2025
DOI: 10.25582/data.2025-02.3379423/2516655
title: Data for EMSL Project 60932 from February 2025
DOI: 10.25582/data.2025-02.3379457/2516656
title: Data for EMSL Project 60932 from February 2025
DOI: 10.25582/data.2025-02.3379479/2516657
title: Data for EMSL Project 60932 from February 2025
DOI: 10.25582/data.2025-02.3379497/2516658
title: Data for EMSL Project 60932 from February 2025
DOI: 10.25582/data.2025-02.3379511/2516659
title: Data for EMSL Project 60881 from February 2025
DOI: 10.25582/data.2025-02.3379624/2516660
title: Data for EMSL Project 60881 from February 2025
DOI: 10.25582/data.2025-02.3379625/2516661
title: Data for EMSL Project 60881 from February 2025
DOI: 10.25582/data.2025-02.3379631/2516662
title: Data for EMSL Project 60881 from February 2025
DOI: 10.25582/data.2025-02.3379632/2516663
title: Data for EMSL Project 60881 from February 2025
DOI: 10.25582/data.2025-02.3379635/2516664
title: Data for EMSL Project 60881 from February 2025
DOI: 10.25582/data.2025-02.3379636/2516665
title: Data for EMSL Project 60881 from February 2025
DOI: 10.25582/data.2025-02.3379637/2516666
title: Data for EMSL Project 60881 from February 2025
DOI: 10.25582/data.2025-02.3379639/2516667
title: Data for EMSL Project 60881 from February 2025
DOI: 10.25582/data.2025-02.3379656/2516668
title: Data for EMSL Project 60881 from February 2025
DOI: 10.25582/data.2025-02.3379697/2516669
title: Data for EMSL Project 60881 from February 2025
DOI: 10.25582/data.2025-02.3379736/2516670
title: Data for EMSL Project 60881 from February 2025
DOI: 10.25582/data.2025-02.3379759/2516671
title: Data for EMSL Project 60881 from February 2025
DOI: 10.25582/data.2025-02.3379775/2516672
title: Data for EMSL Project 60881 from February 2025
DOI: 10.25582/data.2025-02.3379786/2516673
title: Data for EMSL Project 60881 from February 2025
DOI: 10.25582/data.2025-02.3379792/2516674
title: Data for EMSL Project 60881 from February 2025
DOI: 10.25582/data.2025-02.3379803/2516675
title: Data for EMSL Project 60881 from February 2025
DOI: 10.25582/data.2025-02.3379818/2516676
title: Data for EMSL Project 60881 from February 2025
DOI: 10.25582/data.2025-02.3379829/2516677
title: Data for EMSL Project 60881 from February 2025
DOI: 10.25582/data.2025-02.3379839/2516678
title: Data for EMSL Project 60881 from February 2025
DOI: 10.25582/data.2025-02.3379853/2516679
title: Data for EMSL Project 60881 from February 2025
DOI: 10.25582/data.2025-02.3379866/2516680
title: Data for EMSL Project 60881 from February 2025
DOI: 10.25582/data.2025-02.3379880/2516681
title: Data for EMSL Project 60881 from February 2025
DOI: 10.25582/data.2025-02.3379895/2516682
title: Data for EMSL Project 60881 from February 2025
DOI: 10.25582/data.2025-02.3379929/2516683
title: Data for EMSL Project 60881 from February 2025
DOI: 10.25582/data.2025-02.3379938/2516684
title: Data for EMSL Project 60881 from February 2025
DOI: 10.25582/data.2025-02.3379948/2516685
title: Data for EMSL Project 60881 from February 2025
DOI: 10.15468/dl.4j3a8p
title: Occurrence Download

description: A dataset containing 278 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is one of (Brazil, Colombia, Ecuador, Peru, Guyana, Bolivia (Plurinational State of), Venezuela (Bolivarian Republic of), Nicaragua, Panama, Costa Rica)",
 "TaxonKey is Houlletia Brongn."
 ]
}

 The dataset includes 278 records from 60 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000959-250214102907787/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25582/data.2025-02.3379962/2516686
title: Data for EMSL Project 60881 from February 2025
DOI: 10.25582/data.2025-02.3379980/2516687
title: Data for EMSL Project 60881 from February 2025
DOI: 10.25582/data.2025-02.3380001/2516688
title: Data for EMSL Project 60881 from February 2025
DOI: 10.25582/data.2025-02.3380014/2516689
title: Data for EMSL Project 60881 from February 2025
DOI: 10.15485/2516740
title: Characterization of Soil and Rock Magnetic Properties along Multiple Hillslope Transects at Teller Road Site, Seward Peninsula, Alaska, 2018 and 2023

description: The magnetometer data was collected in multiple directions across the watershed hillslope at the NGEE Arctic Teller Road site at mile marker 27 (TL_MM27) on the Seward Peninsula, Alaska over multiple years in March 2018 and April 2023. The magnetic data were collected using a Geometrics Inc. G-858 gradiometer and G-857 base station in 2018 and the G-864 gradiometer and G857 base station in 2023. The data was collected (in all instances) by towing the gradiometer behind a snow machine around the watershed with the two sensors in a vertical profile with constant spacing during the continuous survey in that specific year. Magnetic total field measurements were collected by gradiometer and base station, and the data processing was performed in Geometrics MagMap2000 software. The processing steps were limited to removal of data spikes (despiking), reading dropouts, and correction/removal of bad GPS points. All offsets between sensors and GPS are stated within the data files and metadata, alongwith the processed and raw data. The Next-Generation Ecosystem Experiments: Arctic (NGEE Arctic), was a research effort to reduce uncertainty in Earth System Models by developing a predictive understanding of carbon-rich Arctic ecosystems and feedbacks to climate. NGEE Arctic was supported by the Department of Energy's Office of Biological and Environmental Research. The NGEE Arctic project had two field research sites: 1) located within the Arctic polygonal tundra coastal region on the Barrow Environmental Observatory (BEO) and the North Slope near Utqiagvik (Barrow), Alaska and 2) multiple areas on the discontinuous permafrost region of the Seward Peninsula north of Nome, Alaska.Through observations, experiments, and synthesis with existing datasets, NGEE Arctic provided an enhanced knowledge base for multi-scale modeling and contributed to improved process representation at global pan-Arctic scales within the Department of Energy's Earth system Model (the Energy Exascale Earth System Model, or E3SM), and specifically within the E3SM Land Model component (ELM).In this data submission there are two sets of raw magnetic data (.bin and .stn for 2018 and base for 2023; raw rover mag for 2023 is in .csv) inside two .zip files that identify the year the mag data was collected. The data are proprietary format to Geometrics and can be opened and processed with MagMap2000 which can be downloaded for free at Geometrics website. There are also two processed data files *.csv for each year and two metadata files *.csv.
DOI: 10.15121/2516749
title: Utah FORGE: Well 16B(78)-32 Drill Core Fracture Analysis Images and Data

description: This dataset contains drilling core data from well 16B(78)-32, including PDF documents with flattened core images annotated by feature type and core interval, as well as spreadsheets detailing feature morphologies by depth, planar feature measurements, and planar feature orientations rotated to in situ conditions. Core was recovered from three intervals, one per stimulation stage, in the crystalline rocks affected by the stimulation of well 16A(78)-32. Seven core runs were conducted, yielding 135.8 feet of recovered core. Features in the core were categorized into planar fractures, semi-planar fractures, unbroken mineralized fractures, rough fractures, curviplanar fractures, concave-convex surfaces, and planar compositional features such as mylonite or dike-like structures. Planar features were measured while the core was positioned horizontally, with the core axis aligned to a downhole azimuth of 42 degrees. Planar core measurements from stimulations 2 and 3 that could be confidently correlated with FMI data were rotated to in situ orientations. This was done by rotating the planes along vertical and horizontal axes to match the azimuth and inclination data recorded in the directional survey of well 16B(78)-32, as well as applying an axial rotation to resemble the fracture orientations observed in the FMI log at corresponding depths. Coherent sets of planar fracture measurements were made by aligning the core within each 3-foot section of the dissected core barrel, and between adjacent 3-foot sections within a core run by matching rock fabrics, saw cuts and/or tool marks. Where coherent fracture measurements could not be made within a core run, data sets are denoted by a subscript (i.e. 2-Ta and 2-Tb both come from tangent core run number 2).
DOI: 10.15121/2516750
title: Renewable Energy Potential Model: Hawaii Geothermal Supply Curves

description: This dataset extends the development of the Renewable Energy Potential (reV) model to include geothermal energy, with a specific focus on Hawaii. Provided here are the results of two scenarios that were modeled for geothermal energy in Hawaii: binary enhanced geothermal systems (EGS) at a depth of 2.5 km and hydrothermal binary systems at a depth of 1.5 km. The resource data for both scenarios were derived from Lautze and Haskins (2024) using an exponential method. The PFA probability of heat map was used as a look up table for which temperature gradient to use (Lautze and Haskins, 2024). The dataset provides geospatial and techno-economic details for evaluating geothermal energy potential. It includes spatial coordinates, estimated capacity factors, developable area, resource potential, and annual energy production metrics. Economic details such as levelized cost of electricity (LCOE), site development costs, transmission costs, and fixed-charge rates are also included. The reV model, originally developed for wind and solar energy, incorporates these variables to evaluate deployment constraints related to land use, environmental and cultural factors, and grid integration.
DOI: 10.15121/2516751
title: Renewable Energy Potential Model: Priority Geothermal Leasing Areas ReEDs Results

description: This dataset contains the results of a study conducted by the National Renewable Energy Laboratory (NREL) to identify potential future priority geothermal leasing areas on Bureau of Land Management (BLM) and United States Forest Service (USFS) lands. The analysis uses the Regional Energy Deployment System (ReEDS) model to evaluate geothermal resource potential under different scenarios of resource depth and technology combinations through the year 2050. The study considers geothermal resource potential, natural resource conflicts, and transmission access to categorize areas into near, mid, and far deployment priorities. The dataset includes outputs from the ReEDS model, such as geothermal capacity, generation, system costs, and emissions under various economic and technical scenarios. Favorability site data with geographic coordinates and site-specific attributes (e.g., resource favorability, land type) are also provided. Supporting resources include a technical report detailing methodologies and assumptions, along with a link to the ReEDS model GitHub repository, which requires GAMS and Python software for execution.
DOI: 10.15121/2516752
title: EGS Collab Experiment 2: Microseismic Monitoring

description: This dataset contains continuous seismic waveform data recorded during stimulation and thermal circulation tests for the Enhanced Geothermal Systems (EGS) Collab Experiment #2, conducted from February to September 2022 at the Sanford Underground Research Facility in Lead, South Dakota. This experiment aimed to study and validate models of geothermal systems by injecting high-pressure fluids into rock formations 1200-1500 meters below the surface, inducing microseismic events. The seismic monitoring system included 16 three-component accelerometers and a 24-channel hydrophone array, installed in boreholes surrounding the test area. Data were recorded at high sampling rates using a continuous waveform recording system to monitor seismic activity in real time. The dataset contains the raw data stored in binary format, with files named based on timestamps, and includes calibration certificates for some sensors to facilitate corrections to real units. Users are strongly advised to consult the accompanying detailed report, which outlines the experimental setup, sensor specifications, installation procedures, and data processing methods. The report also describes important nuances, such as the hardware filters on hydrophones, sensor calibration details, and the naming conventions for the recorded data. Proper use of this dataset may require familiarity with seismic data analysis tools, such as the Obspy Python package, and an understanding of the SEED naming conventions used for channel identification.
DOI: 10.15468/dl.efewgg
title: Occurrence Download

description: A dataset containing 185 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is one of (Ecuador, Brazil, French Guiana, Colombia, Trinidad and Tobago, Venezuela (Bolivarian Republic of), Peru, Costa Rica, Guyana)",
 "TaxonKey is Paphinia Lindl."
 ]
}

 The dataset includes 185 records from 42 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000960-250214102907787/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.t9gm8h
title: Occurrence Download

description: A dataset containing 2497 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Lithobates montezumae (Baird, 1854)"
 ]
}

 The dataset includes 2497 records from 54 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000961-250214102907787/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.zmeh3x
title: Occurrence Download

description: A dataset containing 3539 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Lithobates palmipes (Spix, 1824)"
 ]
}

 The dataset includes 3539 records from 114 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000963-250214102907787/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.dt7mdy
title: Occurrence Download

description: A dataset containing 12336 species occurrences available in GBIF matching the query:
{
 "and" : [
 "OccurrenceStatus is Present",
 "TaxonKey is Spathodea campanulata Beauverd"
 ]
}

 The dataset includes 12336 records from 463 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000966-250214102907787/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.14635496
title: Peng W, Ruan S. An age-structured syphilis model, II: optimal control and numerical simulation. Appendix I - Reported syphilis data from China 2004-2018
DOI: 10.5281/zenodo.14635897
title: Peng W, Ruan S. An age-structured syphilis model, II: optimal control and numerical simulation. Appendix I - Reported syphilis data from China 2004-2018