cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15468/dl.xbye7e
title: Occurrence Download

description: A dataset listing the 250209 species recorded in GBIF matching the query:
{
 "PublishingOrg" : [
 "is 7b8aff00-a9f8-11d8-944b-b8a03c50a862"
 ]
}

 The dataset's 250209 records were derived from 16 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0029648-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.gnxzks
title: Occurrence Download

description: A dataset containing 230791 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Martinique",
 "Year 2004-2025"
 ]
}

 The dataset includes 230791 records from 200 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0029638-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.34740/kaggle/dsv/13711672
title: Indonesian Hoax News Dataset
DOI: 10.15468/dl.k4xnep
title: Occurrence Download

description: A dataset containing 651874 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Portugal",
 "GadmGid is one of (PRT.17.1_1, PRT.17.5_1, PRT.3.11_1, PRT.17.9_1, PRT.17.13_1)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present"
 ]
}

 The dataset includes 651874 records from 232 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0029636-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.cy78d6
title: Occurrence Download

description: A dataset containing 7626 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Austria",
 "TaxonKey is Parnassius apollo"
 ]
}

 The dataset includes 7626 records from 51 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0029658-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.5ppukq
title: Occurrence Download

description: A dataset containing 2141857 species occurrences available in GBIF matching the query:
{
 "and" : [
 "GadmGid is CAN.9.50.1_1",
 "OccurrenceStatus is Present",
 "TaxonKey is Aves",
 "Year 2020-2025"
 ]
}

 The dataset includes 2141857 records from 7 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0049051-250811113504898/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.j4c542
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Syrmaticus soemmerringii",
 "Country is Chinese Taipei",
 "HasCoordinate is true"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0049089-250811113504898/datasets/export for details.
DOI: 10.15468/dl.n6y5w8
title: Occurrence Download

description: A dataset containing 495 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Andrena striatifrons Cockerell, 1897"
 ]
}

 The dataset includes 495 records from 20 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0011858-250415084134356/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/9evqzx
title: Visuelle undersøkelser - petroleumsvirksomhet

description: Her kan du se data fra visuelle undersøkelser av havbunnen fra petroleumsvirksomhet til havs. Dette er hovedsakelig data som er samlet inn i forbindelse med lovpålagte visuelle miljøundersøkelser. Hensikten med visuelle undersøkelser i forbindelse med petroleumsaktivitet er å kartlegge tilstedeværelse og omfang av arter og naturtyper som er på norsk rødliste (Artsdatabanken 2018) eller på OSPARs liste over truede og/eller minkende habitat (OSPAR, reference number: 2008).
DOI: 10.15468/dl.7msqdw
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Phyllogomphoides angularis",
 "DecimalLongitude is not null",
 "DecimalLatitude is not null"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002876-251120083545085/datasets/export for details.
DOI: 10.15468/dl.d9ckgp
title: Occurrence Download

description: A dataset containing 424 species occurrences available in GBIF matching the query:
{
 "and" : [
 {
 "and" : [
 "NetworkKey is 99d66b6c-9087-452f-a9d4-f15f2c2d0e7e",
 "TaxonKey is Chordata"
 ]
 },
 {
 "and" : [
 "InstitutionCode is one of (FMNH)",
 "TaxonKey is one of (Prionops [GBIF Backbone Taxonomy])"
 ]
 }
 ]
}

 The dataset includes 424 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002879-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ufg4vj
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Phyllogomphoides audax",
 "DecimalLongitude is not null",
 "DecimalLatitude is not null"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002878-251120083545085/datasets/export for details.
DOI: 10.15468/dl.v4fux7
title: Occurrence Download

description: A dataset containing 75859 species occurrences available in GBIF matching the query:
{
 "and" : [
 {
 "or" : [
 "PublishingCountry is Colombia",
 {
 "and" : [
 "Country is Colombia",
 {
 "not" : {
 "Issue" : [
 "is Country coordinate mismatch"
 ]
 }
 }
 ]
 }
 ]
 },
 {
 "and" : [
 "GadmGid is one of (COL.2_2)",
 "StateProvince is one of (Antioquia)",
 "Geometry POLYGON((-75.55151 6.45483,-75.55493 6.28382,-75.43855 6.27651,-75.44251 6.45414,-75.55151 6.45483))"
 ]
 }
 ]
}

 The dataset includes 75859 records from 99 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002863-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.zs7zxn
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Phyllogomphoides calverti",
 "DecimalLongitude is not null",
 "DecimalLatitude is not null"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002880-251120083545085/datasets/export for details.
DOI: 10.6073/pasta/baa0025078d905f29ceed9f22fda5bfe
title: Supporting data for “Climate Intervention through Stratospheric Aerosol Injection may partially mitigate marine heatwaves"

description: Although climate intervention aims to lower the global average temperature, the potential impact of Stratospheric Aerosol Injection on marine heatwaves (MHW) has not been thoroughly examined. This spatial dataset provides global and regional MHW metrics—such as frequency, maximum intensity, and duration—from the Community Earth System Model, version 2 (CESM2), using the baseline scenario SSP2-4.5, referred to as a no climate intervention scenario, and the ARISE-SAI ensemble. The ARISE-SAI model uses the SSP2-4.5 scenario, introducing stratospheric aerosol injection at approximately 21 km in 2035, aiming to keep global mean surface air temperature near 1.5°C for ARISE-SAI-1.5 and near 1.0°C for ARISE-SAI-1.0 above pre-industrial levels. 
 The dataset includes global MHW properties for the historical period (1990-2009), the current period under SSP2-4.5 emission scenario (2015-2034), and future scenarios under SSP2-4.5, ARISE-SAI-1.5, and ARISE-SAI-1.5 for 2050-2059 and 2060-2069.
DOI: 10.13012/b2idb-3952865_v1
title: Data for Hydrothermal Conditioning of Oleaginous Yeast Cells to Enable Recovery of Lipids as Potential Drop-in Fuel Precursors

description: Lipids produced using oleaginous yeast cells are an emerging feedstock to manufacture commercially valuable oleochemicals ranging from pharmaceuticals to lipid-derived biofuels. Production of biofuels using oleaginous yeast is a multistep procedure that requires yeast cultivation and harvesting, lipid recovery, and conversion of the lipids to biofuels. The quantitative recovery of the total intracellular lipid from the yeast cells is a critical step during the development of a bioprocess. Their rigid cell walls often make them resistant to lysis. The existing methods include mechanical, chemical, biological and thermochemical lysis of yeast cell walls followed by solvent extraction. In this study, an aqueous thermal pretreatment was explored as a method for lysing the cell wall of the oleaginous yeast Rhodotorula toruloides for lipid recovery. Hydrothermal pretreatment for 60 min at 121 °C with a dry cell weight of 7% (w/v) in the yeast slurry led to a recovery of 84.6 ± 3.2% (w/w) of the total lipids when extracted with organic solvents. The conventional sonication and acid-assisted thermal cell lysis led to a lipid recovery yield of 99.8 ± 0.03% (w/w) and 109.5 ± 1.9% (w/w), respectively. The fatty acid profiles of the hydrothermally pretreated cells and freeze-dried control were similar, suggesting that the thermal lysis of the cells did not degrade the lipids. This work demonstrates that hydrothermal pretreatment of yeast cell slurry at 121 °C for 60 min is a robust and sustainable method for cell conditioning to extract intracellular microbial lipids for biofuel production and provides a baseline for further scale-up and process integration.
DOI: 10.15468/dl.dnzs8f
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Phyllogomphoides pedunculus",
 "DecimalLongitude is not null",
 "DecimalLatitude is not null"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002881-251120083545085/datasets/export for details.
DOI: 10.6084/m9.figshare.30680420
title: Data of the figures and machine learning potentials for "A molecular dynamics study on local structural features and thermophysical properties of the NaCl-UCl<sub>3</sub> molten salt with machine learning potential"

description: NaCl-UCl<sub>3 </sub>molten salt is a potential fuel for the molten salt reactor due to its ability to dissolve higher actinides and excellent thermophysical properties. The composition of the NaCl-UCl<sub>3 </sub>salt changes due to the burn-up during the operation of the reactor, which makes it important to study the local structural features and determine the thermophysical properties for the entire composition space.Among the existing molecular dynamics (MD) methods, <i>ab initio</i> molecular dynamics (AIMD) simulations provide the highest accuracy. However, the AIMD calculations are computationally expensive and not feasible to calculate dynamic properties such as viscosity and thermal conductivity. In this work, using atomic cluster expansion (ACE), we developed the first transferable machine learning interatomic potential (MLIP) trained with density functional theory (DFT) data that covers the entire compositional space of the binary NaCl-UCl<sub>3</sub> melt, and calculates the thermophysical properties of the binary melt with an accuracy of <i>ab initio</i> level and at a low computational cost equivalent to empirical interatomic potentials.The calculated useful thermophysical properties for the nuclear applications, such as density, excess molar volume, heat capacity, viscosity, and thermal conductivity will enrich the database of salt properties. In addition, a comprehensive analysis of the local structural features correlating the changes in the thermophysical properties will enhance the understanding of salt chemistry.
DOI: 10.6084/m9.figshare.30680420.v1
title: Data of the figures and machine learning potentials for "A molecular dynamics study on local structural features and thermophysical properties of the NaCl-UCl<sub>3</sub> molten salt with machine learning potential"

description: NaCl-UCl<sub>3 </sub>molten salt is a potential fuel for the molten salt reactor due to its ability to dissolve higher actinides and excellent thermophysical properties. The composition of the NaCl-UCl<sub>3 </sub>salt changes due to the burn-up during the operation of the reactor, which makes it important to study the local structural features and determine the thermophysical properties for the entire composition space.Among the existing molecular dynamics (MD) methods, <i>ab initio</i> molecular dynamics (AIMD) simulations provide the highest accuracy. However, the AIMD calculations are computationally expensive and not feasible to calculate dynamic properties such as viscosity and thermal conductivity. In this work, using atomic cluster expansion (ACE), we developed the first transferable machine learning interatomic potential (MLIP) trained with density functional theory (DFT) data that covers the entire compositional space of the binary NaCl-UCl<sub>3</sub> melt, and calculates the thermophysical properties of the binary melt with an accuracy of <i>ab initio</i> level and at a low computational cost equivalent to empirical interatomic potentials.The calculated useful thermophysical properties for the nuclear applications, such as density, excess molar volume, heat capacity, viscosity, and thermal conductivity will enrich the database of salt properties. In addition, a comprehensive analysis of the local structural features correlating the changes in the thermophysical properties will enhance the understanding of salt chemistry.
DOI: 10.34943/b68d2df4-6327-4e20-81c9-e0ad62482859
title: Conception Bay Datalogger Deployed 2025-11-04

description: The AML-3 RTS A31761 was deployed on 2025-11-04 at Conception Bay. Conception Bay is located west of the city St. John's, Newfoundland. This device is a Datalogger. Data loggers, or recorder devices, are electronic devices that record data over time, or in relation to location, either with a built-in instrument or sensor or via external instruments and sensors, and are programmed with appropriate recording parameters. It was deployed on a fixed platform. Data from this deployment were archived and made available through Ocean Networks Canada's Oceans 3.0 digital infrastructure, with quality assurance and derived data products following established practices.
DOI: 10.60521/332482
title: Seafloor videos from the Long Island Sound Phase IIB area (2022)

description: This data set contains the video files obtained by the Ponar Imaging and Sampling System for Assessing Habitat (PISSAH) developed by the Long Island Sound Mapping and Research Collaborative (LISMaRC) to obtain both physical sediment grab samples and ultra-high definition (4K) video using the latest version of GoPro cameras mounted on the frame in both a forward-looking (GoPro HERO10) and downward-looking (GoPro HERO11) orientation. A three-day survey using the PISSAH deployed from the research vessel Weicker was conducted October 19-21, 2022 to obtain modern seafloor imagery and grab samples in the Phase 1 and II areas. The PISSAH was used to acquire both physical sediment grab samples as well as GoPro video from 18 sites in the Phase I and II areas of the Long Island Sound Cable Fund (LISCF) Seafloor Habitat Mapping Initiative that served as a modern-day assessment of the seafloor communities at these sites. Frame captures from the videos were analyzed for the presence and percent cover of key taxa identified for the Assessing Ecological Change and Resiliency (AECR) project to compare with historical data/imagery from these sites to assess change or stability in these areas of Long Island Sound. The videos in this data set are in MP4 format. Funding was provided by the Long Island Sound Cable Fund Seafloor Habitat Mapping Initiative administered cooperatively by the EPA Long Island Sound Study and the Connecticut Department of Energy and Environmental Protection (DEEP).
DOI: 10.60521/332483
title: Seafloor ROV videos from the Long Island Sound Phase IIB area (1989-2006)

description: This data set contains digitized video clips collected between 1989-2006 by remotely-operated vehicles (ROVs) within the Phase II area of the Long Island Sound Cable Fund Seafloor Habitat Mapping Initiative. They represent historical videos from the Northeast Underwater Research, Technology and Education Center (NURTEC) at the University of Connecticut video archive, therefore comprising one element of the historical baseline of the Assessing Ecological Change and Resiliency (AECR) project in Long Island Sound. These 24 historical videos were recorded on analog (VHS) and digital (DVCAM) video tapes by three ROVs (Benthos MiniRover MKII, Deep Ocean Engineering (DOE) Phantom 300, and a modified DOE Phantom P3S2). The video tapes were then digitized into the MPEG2 format by conversion from tape to DVD using a Panasonic DVD recorder. The MPEG2 files were subsequently encoded to the .mp4 format using the Handbrake application, with tapes from 1989 to 1992 retaining the original VTS_*_ prefix and .mp4 naming convention with multiple files per dive, while the 2006 tapes were compiled into a single file (Dive0X.mp4) for the entire dive using the Apple Final Cut Pro X application. Video files were reviewed and the presence of the key taxa identified for the AECR project noted and saved to Excel spreadsheets. The videos in this data set are in MP4 format. Funding was provided by the Long Island Sound Cable Fund Seafloor Habitat Mapping Initiative administered cooperatively by the EPA Long Island Sound Study and the Connecticut Department of Energy and Environmental Protection (DEEP).
DOI: 10.60521/332485
title: Navigation data (shapefile format) for R/V Lowell Weicker surveys, eastern Long Island Sound (2022)

description: This shapefile provides the survey boat navigation data during a three-day survey using the Ponar Imaging and Sampling System for Assessing Habitat (PISSAH) deployed from the Research Vessel Weicker conducted from October 19-21, 2022. The PISSAH system was used to acquire both physical sediment grab samples as well as the GoPro video from 18 sites in the Phase IIB area of the Long Island Sound Cable Fund (LISCF) Seafloor Habitat Mapping Initiative. The navigation file is in ESRI Shapefile format. Funding was provided by the Long Island Sound Cable Fund Seafloor Habitat Mapping Initiative administered cooperatively by the EPA Long Island Sound Study and the Connecticut Department of Energy and Environmental Protection (DEEP).
DOI: 10.60521/332486
title: Species presence/absence data from the Long Island Sound Phase I and II areas (1975-2023)

description: These KMZ-formatted files provide species presence/absence data for the Long Island Sound Phase IIB study areas (Phase I and II). The map files provide the locations and other metadata of seafloor images that were analyzed, including those from diver-acquired images (historic and modern), modern PISSAH images, and ROV videos (historic). The historic ROV metadata is more comprehensive, including the name of the Principal Investigators, bottom type, support vessel and log book comments. There is also a map file of the image analysis results from a 2018 SEABOSS survey. Funding was provided by the Long Island Sound Cable Fund Seafloor Habitat Mapping Initiative administered cooperatively by the EPA Long Island Sound Study and the Connecticut Department of Energy and Environmental Protection (DEEP).
DOI: 10.60521/332487
title: Species presence/absence, abundance and distribution data (Excel spreadsheets) from the Long Island Sound Phase I and II areas (1975-2023)

description: These data files provide the results of a variety of analyses conducted from the historical and modern data sets. The minimum analysis for the data was to document presence/absence of the key species identified by the AECR project. For the 2023 diver images, more detailed analyses were conducted, including point count data used to derive percent cover of the key species in the images analyzed. The historical diver files contain a summary of the presence/absence of a wide range of species observed, as well as tabs for the key taxa identified by the project. There is also a data file summarizing the presence/absence results from both images and historical log books. The historical ROV files include detailed metadata and log notes and presence/absence of the key taxa and other species. The PISSAH data files include a summary of the videos and images analyzed and a data set of the presence/absence of the key taxa and a tab of presence/absence of a wider range of taxa observed. The data files are in Excel spreadsheet format. Funding was provided by the Long Island Sound Cable Fund Seafloor Habitat Mapping Initiative administered cooperatively by the EPA Long Island Sound Study and the Connecticut Department of Energy and Environmental Protection (DEEP).
DOI: 10.15468/dl.s7f9zd
title: Occurrence Download

description: A dataset containing 140 species occurrences available in GBIF matching the query:
{
 "and" : [
 {
 "and" : [
 "NetworkKey is 99d66b6c-9087-452f-a9d4-f15f2c2d0e7e",
 "TaxonKey is Chordata"
 ]
 },
 {
 "and" : [
 "InstitutionCode is one of (FMNH)",
 "TaxonKey is one of (Newtonia [GBIF Backbone Taxonomy])"
 ]
 }
 ]
}

 The dataset includes 140 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002883-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.nhcpdk
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Phyllogomphoides praedatrix",
 "DecimalLongitude is not null",
 "DecimalLatitude is not null"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002882-251120083545085/datasets/export for details.
DOI: 10.20383/103.01263
title: Mount Fidelity historical weather station datasets, Glacier National Park, British Columbia, Canada.

description: This dataset contains recordings from the Fidelity weather station, located in Glacier National Park, B.-C., Canada. It is divided into two subdatasets; an hourly dataset starting from August 21, 1995, and a 10 min based dataset starting from October 1, 1999. The weather station is maintained by Parks Canada staff multiple time weekly during the winter. Note that the station is used primarily for winter avalanche forecasting; thus station maintenance is primarily done over the winter. However, the station is also maintained once a week during the summer. For more details, please refer to the “Data & File Overview” section in the README.
DOI: 10.15468/dl.hnzyf3
title: Occurrence Download

description: A dataset containing 318663 species occurrences available in GBIF matching the query:
{
 "Geometry" : [
 "POLYGON ((13.198880028078207 49.11459003220477, 13.198880028078207 48.875680030533296, 13.627890029858948 48.875680030533296, 13.627890029858948 49.11459003220477, 13.198880028078207 49.11459003220477))"
 ]
}

 The dataset includes 318663 records from 173 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002852-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.