cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.57761/y1rk-e141
title: Sentinel-1 InSAR Data

description: This dataset contains derived measurements of vertical displacement from January 2015 to October 2025. The vertical displacement data, which cover the groundwater basins in California, were produced using data obtained by the Sentinel-1 satellite. This dataset was created by TRE Altamira Inc. who were contracted by the California Department of Water Resources (DWR) to provide processed InSAR data products that will support the development and implementation groundwater sustainability plans (GSPs).
description: A brief summary is presented below on how TRE Altamira produces vertical displacement data from Sentinel-1 images every quarter.



1. Sentinel-1 SAR images taken during the quarter were downloaded.
2. Line of sight (LOS) ground measurements over the previous 2 years are produced using TRE Altamira's SqueeSAR method.
3. Measurements are calibrated using GNSS data.
4. Vertical displacements are extracted by projecting the LOS measurements to the vertical direction, and stitched with previous measurements to generate uninterrupted time series from January 2015 to the end of this quarter.
5. The vertical displacement output is created by resampling the data to a 100 m x 100 m grid, and to weekly time intervals.

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Under the "Supporting files" section, please find detailed information on the processing in the "update report" and details on the GNSS calibration data in the "Towill report".
DOI: 10.5281/zenodo.18350973
title: The Offshore Oil and Gas Platforms (OOGPs) dataset based on satellite data spanning 2017 to 2023

description: This dataset provides a vector-format inventory of offshore oil and gas platforms (OOGPs) for six major offshore basins, including the Gulf of Mexico, Persian Gulf, North Sea, Caspian Sea, Gulf of Guinea, and Gulf of Thailand, covering the period from 2017 to 2023. The dataset was produced using satellite observations and includes information on locations, country,  EEZ, flaring status, installation_date, and removal_date.

The dataset is intended to support consistent identification and mapping of offshore oil and gas infrastructure and to facilitate applications in environmental monitoring, infrastructure management, and other geospatial analyses.
DOI: 10.5281/zenodo.18350974
title: The Offshore Oil and Gas Platforms (OOGPs) dataset based on satellite data spanning 2017 to 2023

description: This dataset provides a vector-format inventory of offshore oil and gas platforms (OOGPs) for six major offshore basins, including the Gulf of Mexico, Persian Gulf, North Sea, Caspian Sea, Gulf of Guinea, and Gulf of Thailand, covering the period from 2017 to 2023. The dataset was produced using satellite observations and includes information on locations, country,  EEZ, flaring status, installation_date, and removal_date.

The dataset is intended to support consistent identification and mapping of offshore oil and gas infrastructure and to facilitate applications in environmental monitoring, infrastructure management, and other geospatial analyses.
DOI: 10.15468/dl.hy3u6c
title: Occurrence Download

description: A dataset containing 30 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Blicca bjoerkna",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Year is greater than or equal to 1880",
 "Year is less than or equal to 1884"
 ]
}

 The dataset includes 30 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0008487-260120142942310/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15483/3014253
title: FleetREDI: Mail Delivery Class 6 Propane Trucks

description: Capturing real-world data is critical to reducing the barriers to technology advancement for commercial vehicles. FleetREDI’s insights provide detailed duty cycle information and highlight unique aspects of the given dataset. Each insight delivers a quick look at the collected data by summarizing the operation and identifying key findings of the initial analysis. This FleetREDI insight explores propane and diesel Class 6 mail delivery trucks.

Propane-powered commercial vehicles can achieve the same duty cycles and match the power, acceleration, and cruising speeds of conventionally fueled vehicles while producing significantly less emissions of tailpipe oxides of nitrogen (NOx). The primary goal of the project was to demonstrate alternative fuel vehicles in a mail transport application and evaluate the viability of propane as a cost-effective alternative to conventional diesel trucks.

![FleetREDI clean delivery trucks](FleetREDI-clean-delivery.jpg)
DOI: 10.15468/dl.h958pq
title: Occurrence Download

description: A dataset containing 512 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Scaligeria napiformis",
 "HasCoordinate is true",
 "BasisOfRecord is one of (Specimen)"
 ]
}

 The dataset includes 512 records from 21 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0008489-260120142942310/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.jexmbk
title: Occurrence Download

description: A dataset containing 20 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Blicca bjoerkna",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Year is greater than or equal to 1885",
 "Year is less than or equal to 1889"
 ]
}

 The dataset includes 20 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0008491-260120142942310/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15483/3014254
title: Baseline vs. DER Scenario

description: Projections and associated uncertainty estimates are generated for a variety of user-selectable EV charging sessions, electricity tariffs, subsidy levels, revenue schemes, charging station configurations, and on-site solar and/or storage options. The outputs are presented in CHIP's web portal browser in the form of easily interpretable graphics (interactive graphs and bar charts) that facilitate convenient comparison among different scenarios to aid decision-making. The user should bring assumptions for modeling on simulation planning horizon, number of EV charging sessions per year, electricity costs (energy and demand charge rates; flat versus time-of-use rate), site capital costs (equipment for EV chargers and transformer), solar PV, and battery energy storage (kW).
DOI: 10.15468/dl.tdk9ht
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Scandix australis",
 "HasCoordinate is true",
 "BasisOfRecord is one of (Specimen)"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0008493-260120142942310/datasets/export for details.
DOI: 10.15483/3014255
title: SWS Building Electric Demand Profile

description: This dataset contains data on the electric use of the building in 15-minute increments (kilowatt-hours and average kilowatts).
DOI: 10.15468/dl.zxdmxj
title: Occurrence Download

description: A dataset containing 5 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Blicca bjoerkna",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Year is greater than or equal to 1890",
 "Year is less than or equal to 1894"
 ]
}

 The dataset includes 5 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0008494-260120142942310/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.17844025
title: Supplementary data for "Atmospheric dynamics of first steps toward terraforming Mars", by Richardson et al.

description: Supplementary data for "Atmospheric dynamics of first steps toward terraforming Mars", by Richardson et al.

Mars-configured planetWRF (MarsWRF) output are included for:



the steady-state reference run (wrfout_ref.nc),

the steady-state Al n60 equatorial release case (wrfout_equat_al_n60.nc); and,

the steady-state graphene n15 equatorial release case (wrfout_equat_c_n15.nc).


Output are at for four times per Sol, for each of the 669 Sols in the model year.

Data is in NetCDF format. It can be processed with NCO/NCKS tools, viewed with NcView, and libraries to access NetCDF files are widely available for Python, Fortran, and other languages. The header, variables list, and attributes can be seen by running "ncdump -h" on the files (after ungzipping them). Note the NetCDF files include many of the MarsWRF model constants and parameters as NetCDF global attributes. The files were compressed with "gzip <file>" and should be uncompressed using "gunzip <file>.gz". Because of difficulties uploading multi-GB files, each have been split into four smaller files on the basis of output timestep (669 records, or one quarter of the year, each). They can be reassembled using "ncrcat" after they have been uncompressed.

planetWRF namelist.input files for each run (readable in any text editor) are included along with a restart file common to all runs in this experiment set (NetCDF file: wrfrst...). For reference, the simulations were conducted with code at git commit 855feebb85

Text files are included containing the radiative properties for each manufactured particle type used in the simulations.

Contact authors for more information. 

https://www.planetwrf.com
DOI: 10.5281/zenodo.17844024
title: Supplementary data for "Atmospheric dynamics of first steps toward terraforming Mars", by Richardson et al.

description: Supplementary data for "Atmospheric dynamics of first steps toward terraforming Mars", by Richardson et al.

Mars-configured planetWRF (MarsWRF) output are included for:



the steady-state reference run (wrfout_ref.nc),

the steady-state Al n60 equatorial release case (wrfout_equat_al_n60.nc); and,

the steady-state graphene n15 equatorial release case (wrfout_equat_c_n15.nc).


Output are at for four times per Sol, for each of the 669 Sols in the model year.

Data is in NetCDF format. It can be processed with NCO/NCKS tools, viewed with NcView, and libraries to access NetCDF files are widely available for Python, Fortran, and other languages. The header, variables list, and attributes can be seen by running "ncdump -h" on the files (after ungzipping them). Note the NetCDF files include many of the MarsWRF model constants and parameters as NetCDF global attributes. The files were compressed with "gzip <file>" and should be uncompressed using "gunzip <file>.gz". Because of difficulties uploading multi-GB files, each have been split into four smaller files on the basis of output timestep (669 records, or one quarter of the year, each). They can be reassembled using "ncrcat" after they have been uncompressed.

planetWRF namelist.input files for each run (readable in any text editor) are included along with a restart file common to all runs in this experiment set (NetCDF file: wrfrst...). For reference, the simulations were conducted with code at git commit 855feebb85

Text files are included containing the radiative properties for each manufactured particle type used in the simulations.

Contact authors for more information. 

https://www.planetwrf.com
DOI: 10.15468/dl.7qa2r3
title: Occurrence Download

description: A dataset containing 91 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Schrenkia vaginata",
 "HasCoordinate is true",
 "BasisOfRecord is one of (Specimen)"
 ]
}

 The dataset includes 91 records from 8 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0008497-260120142942310/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.npkbvh
title: Occurrence Download

description: A dataset containing 131 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Blicca bjoerkna",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Year is greater than or equal to 1895",
 "Year is less than or equal to 1899"
 ]
}

 The dataset includes 131 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0008498-260120142942310/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.uhafuz
title: Occurrence Download

description: A dataset containing 168 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Eleutherodactylus brevirostris"
 ]
}

 The dataset includes 168 records from 6 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0008499-260120142942310/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.15281907
title: Brain Tumor Segmentation Dataset

description: This dataset was gathered from King Abdullah University Hospital  in jordan . It was created to be a reference for researchers in the field of brain tumor segmentation using deep learning techniques. The dataset consists of 49  Glioma (patients) divided into 45 patients as training dataset and 4 patients as testing dataset. For every patient there are two 2D MRI sequences: FLAIR and T2 and the third is labelling file. Many preprosessing techniques were applied on data such as skull stripping , Bias Field Correction  to be ready to fed into deep learning algorithms.
DOI: 10.5281/zenodo.15281908
title: Brain Tumor Segmentation Dataset

description: This dataset was gathered from King Abdullah University Hospital  in jordan . It was created to be a reference for researchers in the field of brain tumor segmentation using deep learning techniques. The dataset consists of 49  Glioma (patients) divided into 45 patients as training dataset and 4 patients as testing dataset. For every patient there are two 2D MRI sequences: FLAIR and T2 and the third is labelling file. Many preprosessing techniques were applied on data such as skull stripping , Bias Field Correction  to be ready to fed into deep learning algorithms.
DOI: 10.5281/zenodo.16948900
title: Test

description: Dataset Test
DOI: 10.15468/dl.jrq7qd
title: Occurrence Download

description: A dataset containing 2 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Lonicera reticulata",
 "Country is Canada",
 "HasCoordinate is true"
 ]
}

 The dataset includes 2 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0049558-250811113504898/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.9zvu29
title: Occurrence Download

description: A dataset containing 36448 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "TaxonKey is Streptomyces Waksman & Henrici, 1943"
 ]
}

 The dataset includes 36448 records from 425 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0016180-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.6084/m9.figshare.29094608
title: Supplemental online material of "Understanding the effect of artisanal fisheries on coastal wildlife of Bangladesh"

description: Abstract - Hatiya Upazila, a coastal island area of southern Bangladesh is an important area for artisanal fisheries, faces significant challenges in balancing fishing activities with coastal wildlife conservation. This study assessed interactions between bycatch and four wildlife groups (dolphins, birds, turtles, and sea snakes) through semi-structured interviews with 297 fishers across six landing sites (October 2023–April 2024). Results revealed that gillnets, fixed purse nets, and seine nets were the primary gears causing bycatch, with sea snakes (100%) and turtles (81.82%) most frequently entangled. While 74.07% of fishers released entangled animals alive, 25.25% discarded them dead, and 0.67% consumed them. Population declines were reported for all species except sea snakes. Attitudes toward conservation varied spatially with stronger support linked to education, public awareness and social media use. These findings suggested the need for gear-specific bycatch mitigation, community awareness programs, and enhanced enforcement to safeguard coastal wildlife.The appendices of the research is attached here.
DOI: 10.15468/dl.k4fc95
title: Occurrence Download

description: A dataset containing 150 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Mertensia brevistyla",
 "Year 1958-1990"
 ]
}

 The dataset includes 150 records from 23 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0024828-250811113504898/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.16908468
title: 7-Tage-Inzidenz der COVID-19-Fälle in Deutschland

description: Im Datensatz '7-Tage-Inzidenz von COVID-19 in Deutschland' werden die aktuellen 7-Tage-Inzidenzen der nach den Vorgaben des Infektionsschutzgesetzes - IfSG - an das RKI übermittelten COVID-19-Fälle veröffentlicht. Datengrundlage zur Berechnung der 7-Tage-Inzidenzen sind die an das RKI übermittelten COVID-19-Fälle. Eine detaillierte Dokumentation zur Erhebung der Daten zum Infektionsgeschehen ist im Datensatz 'SARS-CoV-2-Infektionen in Deutschland' enthalten. Die für die Berechnung der 7-Tage-Inzidenz notwendigen Bevölkerungsdaten bezieht das RKI durch das Statistisches Bundesamt (Destatis), Referat F24 | Bevölkerungsfortschreibung, Ausländer- und Integrationsstatistiken.
DOI: 10.5281/zenodo.13163524
title: High-throughput Computational Screening of Hydrocarbon Molecules for Long-wavelength Infrared Imaging

description: This repository contains datasets associated with the paper titled "High-throughput Computational Screening of Hydrocarbon Molecules for Long-wavelength Infrared Imaging," accepted at ACS Materials Letters Journal.

Contents:





Optimized XYZ Coordinates: The hydrocarbon molecules' XYZ coordinates, obtained using the B3LYP functional and the 6-31g(d,p) basis set in Gaussian 16 software, used to simulate the IR spectra (including transition energies and absorption intensities) of the molecules.




Broadened Molar Absorptivity IR Spectra: The dataset's IR spectra, broadened using a Lorentzian band shape with a gamma (half-width at half-height) value of 5 cm⁻¹. Molecules with imaginary frequencies have been excluded.




Related SMILES Strings: Contains SMILES strings for these hydrocarbons.




NUMBERS_SMILES.csv: Provides the associated SMILES string for each numerated XYZ coordinate.



For any inquiries, please contact Dr. Maliheh Shaban Tameh at malihe.shaban@gmail.com
DOI: 10.5281/zenodo.13163525
title: High-throughput Computational Screening of Hydrocarbon Molecules for Long-wavelength Infrared Imaging

description: This repository contains datasets associated with the paper titled "High-throughput Computational Screening of Hydrocarbon Molecules for Long-wavelength Infrared Imaging," accepted at ACS Materials Letters Journal.

Contents:





Optimized XYZ Coordinates: The hydrocarbon molecules' XYZ coordinates, obtained using the B3LYP functional and the 6-31g(d,p) basis set in Gaussian 16 software, used to simulate the IR spectra (including transition energies and absorption intensities) of the molecules.




Broadened Molar Absorptivity IR Spectra: The dataset's IR spectra, broadened using a Lorentzian band shape with a gamma (half-width at half-height) value of 5 cm⁻¹. Molecules with imaginary frequencies have been excluded.




Related SMILES Strings: Contains SMILES strings for these hydrocarbons.




NUMBERS_SMILES.csv: Provides the associated SMILES string for each numerated XYZ coordinate.



For any inquiries, please contact Dr. Maliheh Shaban Tameh at malihe.shaban@gmail.com
DOI: 10.5281/zenodo.15472782
title: TABLE 1 in Two new mainland sister species for the Taiwanese Bharetta owadai (Lepidoptera, Lasiocampidae, Lasiocampinae, Argudini)

description: TABLE 1. Data on specimens and their barcodes deposited in BOLD and used in the phylogenetic analysis.
Species#Process IDSpecimen details and collecting data (depository)Bh. sarah sp. nov.1LBEOA342-11PT ♂, China, Jiangxi—Fujian border, 50 km SE Yingtan, 27.56 N, 117.25 E, 1600 m, 15.03.2002, leg. V. Sinjaev, GS 1294 (CGM)Bh. sarah sp. nov.2LBEOA343-11HT ♂, China, Guanxi, Dayao Shan, 100 km SE Liuzhou, Jingxiu, 23.45 N, 109.45 E, 1200 m, 15.04.2005, leg. V. Sinjaev, GS 1293 (CGM)Bh. owadai3GWOSY431-11♂, Taiwan, Nantou County, Lushan Hot Spring, 24.022 N, 121.154 E, 1000 m, 23.05.2005, leg. Mei-Yu Chen & U. Buchsbaum (ZSM)Bharetta4LBEOA337-11♂, India, Sikkim, Kanchenjunga Mt, SE slope, 27.3 N, 88.2 E, 2225 m,cinnamomea12.08.1995, leg. E. Afonin & V. Sinjaev (CGM)Chondrostegoides magna5LBEOW1736- 11PT ♂, South Africa, Western Cape, Swellendam, Bontebok NP, 34 S, 20.25 E, 220 m, 20.03.1999, leg. de Freina (MWM/ZSM)Malacosoma castrensis6LBEOA1136-11♂, Lithuania, Zelvos Lake, 55.13 N, 25.06 E, 20.06.2007, leg. V. Pacevivcus (MWM/ZSM)
description: Published as part of Saldaitis, Aidas, Lien, Vu Van, Junnila, Amy, Ihle, Siegfried, Sulak, Harald, Yakovlev, Roman V., Volkova, Julia S., Müller, Günter C., Revay, Edita E., Prozorova, Tatiana A. & Prozorov, Alexey M., 2025, Two new mainland sister species for the Taiwanese Bharetta owadai (Lepidoptera, Lasiocampidae, Lasiocampinae, Argudini), pp. 472 in Zootaxa 5633 (3) on page 472, DOI: 10.11646/zootaxa.5633.3.3, http://zenodo.org/record/15435795
DOI: 10.5281/zenodo.15472783
title: TABLE 1 in Two new mainland sister species for the Taiwanese Bharetta owadai (Lepidoptera, Lasiocampidae, Lasiocampinae, Argudini)

description: TABLE 1. Data on specimens and their barcodes deposited in BOLD and used in the phylogenetic analysis.
Species#Process IDSpecimen details and collecting data (depository)Bh. sarah sp. nov.1LBEOA342-11PT ♂, China, Jiangxi—Fujian border, 50 km SE Yingtan, 27.56 N, 117.25 E, 1600 m, 15.03.2002, leg. V. Sinjaev, GS 1294 (CGM)Bh. sarah sp. nov.2LBEOA343-11HT ♂, China, Guanxi, Dayao Shan, 100 km SE Liuzhou, Jingxiu, 23.45 N, 109.45 E, 1200 m, 15.04.2005, leg. V. Sinjaev, GS 1293 (CGM)Bh. owadai3GWOSY431-11♂, Taiwan, Nantou County, Lushan Hot Spring, 24.022 N, 121.154 E, 1000 m, 23.05.2005, leg. Mei-Yu Chen & U. Buchsbaum (ZSM)Bharetta4LBEOA337-11♂, India, Sikkim, Kanchenjunga Mt, SE slope, 27.3 N, 88.2 E, 2225 m,cinnamomea12.08.1995, leg. E. Afonin & V. Sinjaev (CGM)Chondrostegoides magna5LBEOW1736- 11PT ♂, South Africa, Western Cape, Swellendam, Bontebok NP, 34 S, 20.25 E, 220 m, 20.03.1999, leg. de Freina (MWM/ZSM)Malacosoma castrensis6LBEOA1136-11♂, Lithuania, Zelvos Lake, 55.13 N, 25.06 E, 20.06.2007, leg. V. Pacevivcus (MWM/ZSM)
description: Published as part of Saldaitis, Aidas, Lien, Vu Van, Junnila, Amy, Ihle, Siegfried, Sulak, Harald, Yakovlev, Roman V., Volkova, Julia S., Müller, Günter C., Revay, Edita E., Prozorova, Tatiana A. & Prozorov, Alexey M., 2025, Two new mainland sister species for the Taiwanese Bharetta owadai (Lepidoptera, Lasiocampidae, Lasiocampinae, Argudini), pp. 472 in Zootaxa 5633 (3) on page 472, DOI: 10.11646/zootaxa.5633.3.3, http://zenodo.org/record/15435795