cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15468/dl.2z3av2
title: Occurrence Download

description: A dataset containing 1077 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is one of (China, Chinese Taipei)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Celastrus orbiculatus",
 "Year 1000-2025"
 ]
}

 The dataset includes 1077 records from 19 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0008254-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.u4pz9g
title: Occurrence Download

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

 The dataset includes 2 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0008256-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.s73h7y
title: Occurrence Download

description: A dataset containing 89190 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Australia",
 "HasCoordinate is true",
 "Year is 1961"
 ]
}

 The dataset includes 89190 records from 192 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0008174-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.yr62wu
title: Occurrence Download

description: A dataset containing 2157 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Pilosella piloselloides",
 "Country is Netherlands",
 "HasCoordinate is true"
 ]
}

 The dataset includes 2157 records from 9 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0008257-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.17182341
title: MoMA Collection - Automatic Update

description: Temporary Description
DOI: 10.5281/zenodo.17182342
title: MoMA Collection - Automatic Update

description: Temporary Description
DOI: 10.15468/3pf855
title: Biodiversitätsdatenbank Salzburg

description: The Haus der Natur maintains a biodiversity database documenting the animal and plant species of Salzburg and adjacent areas (mainly). The database is growing continuousely and includes detailed information about the distribution of many groups of animals, fungi and plants. Special attention is given to the endangered species, threatened habitats, and protected areas of Salzburg. The database further contains global distribution data, mainly related to the museum's biological collection. All coordinates for gbif are rounded to two decimal places (approx. 1 km).
DOI: 10.6084/m9.figshare.30186658
title: Code

description: Code for Charts and Heatmaps
DOI: 10.6084/m9.figshare.30186658.v1
title: Code

description: Code for Charts and Heatmaps
DOI: 10.15468/dl.by7p74
title: Occurrence Download

description: A dataset containing 148 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 },
 "TaxonKey is Trifolium macrocephalum",
 "Year is less than or equal to 2000",
 "Year is greater than or equal to 1970",
 {
 "or" : [
 {
 "not" : {
 "EstablishmentMeans" : [
 "is one of (MANAGED, INTRODUCED)"
 ]
 }
 },
 "EstablishmentMeans is null"
 ]
 },
 {
 "or" : [
 "CoordinateUncertaintyInMeters is less than 1000",
 "CoordinateUncertaintyInMeters is null"
 ]
 }
 ]
}

 The dataset includes 148 records from 27 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0008258-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.15379902
title: CMIP7 ScenarioMIP harmonisation and infilling data for simple climate model workflows

description: Harmonisation data set and infilling database used in creating input for CMIP7's ScenarioMIPThese were used for harmonisation before griddingas well as for creating 'complete' scenarios for running simple climate models(the so-called 'global-workflow' files focus on this application).
DOI: 10.15468/dl.rsehjn
title: Occurrence Download

description: A dataset containing 2829960000 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Animalia",
 "HasCoordinate is true"
 ]
}

 The dataset includes 2829960000 records from 48593 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0007390-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ypejny
title: Occurrence Download

description: A dataset containing 757 species occurrences available in GBIF matching the query:
{
 "and" : [
 "DatasetKey is Macroinvertebrados asociados a la calidad del agua en el Parque Nacional Natural Complejo Volcánico Doña Juana Cascabel",
 "Geometry POLYGON((-94.64723 -5.75579,-58.35277 -5.75579,-58.35277 8.75579,-94.64723 8.75579,-94.64723 -5.75579))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present"
 ]
}

 The dataset includes 757 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0045916-240626123714530/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.3761562.v3014
title: Online Labour Index: Measuring the Online Gig Economy for Policy and Research

description: Data repository for the data underlying the Online Labour Index. See http://ilabour.oii.ox.ac.uk online-labour-index/ for details.
DOI: 10.5281/zenodo.13177567
title: Binary black-hole simulation SXS:BBH:0621

description: Simulation of a black-hole binary system evolved by the SpEC code.
DOI: 10.5281/zenodo.13177568
title: Binary black-hole simulation SXS:BBH:0621

description: Simulation of a black-hole binary system evolved by the SpEC code.
DOI: 10.25345/c5280595d
title: MassIVE MSV000095512 - Sugarloaf Hill Fire Containment Soil Experiment
title: Untargeted metabolomics data of organic extracts of soil recovered from Sugarloaf Hill in Riverside, CA, after a fire event that was contained through use of air-dropped flame retardant.
DOI: 10.5281/zenodo.13177633
title: Binary black-hole simulation SXS:BBH:0324

description: Simulation of a black-hole binary system evolved by the SpEC code.
DOI: 10.5281/zenodo.13177634
title: Binary black-hole simulation SXS:BBH:0324

description: Simulation of a black-hole binary system evolved by the SpEC code.
DOI: 10.15468/dl.g9stsu
title: Occurrence Download

description: A dataset containing 503901 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON ((-180 0, -40 0, -40 80, -180 80, -180 0))",
 "Year 1970-2024",
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 },
 "TaxonKey is Haematopus palliatus Temminck, 1820"
 ]
}

 The dataset includes 503901 records from 66 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0045915-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.10958754
title: Update on the 53Mn-53Cr ages of dolomite in the Ivuna CI chondrite and asteroid Ryugu sample

description: Table S1: XRD data of synthetic carbonates

Table S2: Checmical composition of synthetic carbonates

Table S3: SIMS data of synthetic carbonates and San Carlos olivine

Table S4: SIMS data of Ivuna H2 dolomite
DOI: 10.5281/zenodo.10958755
title: Update on the 53Mn-53Cr ages of dolomite in the Ivuna CI chondrite and asteroid Ryugu sample

description: Table S1: XRD data of Dol#0 

Table S2: Checmical composition of synthetic carbonates

Table S3: SIMS data of synthetic carbonates and San Carlos olivine

Table S4: SIMS data of Ivuna H2 dolomite
DOI: 10.5281/zenodo.10963183
title: Update on the 53Mn-53Cr ages of dolomite in the Ivuna CI chondrite and asteroid Ryugu sample

description: Table S1: XRD data of synthetic carbonates

Table S2: Checmical composition of synthetic carbonates

Table S3: SIMS data of synthetic carbonates and San Carlos olivine

Table S4: SIMS data of Ivuna H2 dolomite
DOI: 10.5281/zenodo.13177635
title: Trend analysis and random forests models assessing spatial and temporal patterns of wildfire probability for the eastern United States

description: We used historic fire perimeters from Monitoring Trends in Burn Severity to assess trends and drivers of wildfires in the eastern United States. We used a suite of predictor variables relating to weather, vegetation cover, and human infrastructure to parameterize random forests models predicting fire occurrence. Models were used to project annual burned areas using all selected predictors, and to project the marginal response of annual burned areas to the most important weather predictors. This dataset includes Python scripts, raster maps of fire probability, and tables summarizing analysis results.
DOI: 10.5281/zenodo.13177636
title: Trend analysis and random forests models assessing spatial and temporal patterns of wildfire probability for the eastern United States

description: We used historic fire perimeters from Monitoring Trends in Burn Severity to assess trends and drivers of wildfires in the eastern United States. We used a suite of predictor variables relating to weather, vegetation cover, and human infrastructure to parameterize random forests models predicting fire occurrence. Models were used to project annual burned areas using all selected predictors, and to project the marginal response of annual burned areas to the most important weather predictors. This dataset includes Python scripts, raster maps of fire probability, and tables summarizing analysis results.
DOI: 10.18112/openneuro.ds005123.v1.1.2
title: Social Reward and Aging: An Interim Multi-echo fMRI and Diffusion Dataset
DOI: 10.6073/pasta/854f02f65363678f5a4ff4b9cc22d9d8
title: SBC LTER: Ocean: Currents and Biogeochemistry: Moored CTD and ADCP data from Santa Barbara Harbor Mooring (SBH), ongoing since 1999

description: CTD (Hydrography) data were collected at Santa Barbara Harbor (site
 ID: SBH). Data have been interpolated to a 20 minute interval. The
 CTD data for this site are harvested from SCCOOS
 (http://sccoos.org/) and processed in Matlab.
DOI: 10.5281/zenodo.13137389
title: waveform data of the Empirical Green's Functions (EGFs) for the manuscript "Unraveling the Mantle Dynamics in Central Asia with Full Waveform Inversion Tomography"

description: The data could be read through python module pyasdf and obspy
DOI: 10.5281/zenodo.13137388
title: waveform data of the Empirical Green's Functions (EGFs)  and earthquakes for the manuscript "Unraveling the Mantle Dynamics in Central Asia with Full Waveform Inversion Tomography"

description: The dataset uploaded contains the original ASDF files and the SAC files (with '_sac') converted from ASDF

For the ASDF files:

The ASDF data file could be read through python module pyasdf and obspy after decompressing. 

The earthquake information could be accessed by the following command

import pyasdf

ds=pyasdf.ASDFDataSet(ASDFfile, mode='r')

event=ds.events[0].preferred_origin()

print(event)

the waveforms coul dbe accessed through

stream=ds.waveforms[net.station].raw_recording
DOI: 10.5281/zenodo.13137585
title: waveform data of the Empirical Green's Functions (EGFs)  and earthquakes for the manuscript "Unraveling the Mantle Dynamics in Central Asia with Full Waveform Inversion Tomography"

description: The data could be read through python module pyasdf and obspy after decompressing. 

The earthquake information could be accessed by the following command

import pyasdf

ds=pyasdf.ASDFDataSet('x.h5', mode='r')

event=ds.events[0].preferred_origin()

print(event)
DOI: 10.5281/zenodo.13177059
title: High thermal quality rookeries facilitate high thermoregulatory accuracy in pregnant female rattlesnakes

description: Data for study of thermal ecology in Crotalus viridis in Colorado, U.S.A.
DOI: 10.5281/zenodo.13177060
title: High thermal quality rookeries facilitate high thermoregulatory accuracy in pregnant female rattlesnakes

description: Data for study of thermal ecology in Crotalus viridis in Colorado, U.S.A.
DOI: 10.6084/m9.figshare.25584672
title: CellRanger analyzed Visium data

description: Mouse lung tissues were perfused with PBS and fixed with 10% formalin via tracheal instillation at a constant pressure (15 cm H<sub>2</sub>O) and embedded in paraffin wax. Lung tissues were sectioned into 5 μm sections. Tissue sections were placed within the fiducial frame or the etched frames of the Capture Area on the 10X Genomics Visium Spatial slides. Slides were then deparaffinated, decrosslinked and stained with H & E staining kit (Millipore Sigma). Images were acquired under Keyence BZ-X800E slide scanner. The mouse whole transcriptome probe panel is added to the deparaffinized, stained, and decrosslinked tissues. After hybridization, single stranded ligation products were released and then captured on the Visium slides. Probes are extended by the addition of UMI, Spatial Barcode and partial Read 1, followed by library preparation and sample indexed. The library was sequenced on a Hiseq 4000 with pair-end 150bp (Novogene). The raw sequencing data was analyzed by CellRanger 7.0 (10X Genomics) and Seurat V4. Visium data was integrated with scRNA-seq data. The cell annotation was transferred from scRNA-seq.
DOI: 10.5281/zenodo.13174321
title: Self-Admitted Technical Debt in Scientific Software

description: # TitleSelf-Admitted Technical Debt (SATD) in Scientific Software Projects

# Description## AbstractThis dataset contains annotated code comments from nine open-source scientific software projects: Astropy, Biopython, CESM, Firedrake, MOOSE, GROMACS, Elmer, Athena, and Root. The comments are labeled to identify instances of Self-Admitted Technical Debt (SATD), with a focus on a novel category termed Scientific Debt (SD). The dataset supports research on the nature and management of technical debt in scientific software.

## PurposeThe dataset was created to explore the prevalence and characteristics of SATD in scientific software, with the aim of improving software maintainability and scientific validity.

## ContentThe dataset includes over 28,680 annotated code comments, with labels indicating various types of technical debt such as Code Debt, Design Debt, and Scientific Debt. Each comment is accompanied by metadata including the project name, file path, comment introduction date, and comment removal date.

## ScopeThe dataset covers nine projects across different scientific domains, including astronomy, molecular biology, and climate modeling. Data was collected from publicly available repositories and spans from the inception of each project to the present.

## MethodologyData was extracted using GitPython to access the version control histories of the selected projects. Comments were manually labeled for SATD, with a focus on identifying Scientific Debt indicators such as assumptions, missing edge cases, computational inaccuracies, translation challenges, and new scientific findings.

## Usage NotesThis dataset can be used for research on technical debt management, software maintenance, and scientific software development. Users should have a basic understanding of programming and version control systems. Recommended tools for analysis include Python and Pandas.

## Ethical ConsiderationsAll data was collected from publicly available sources. No personal or sensitive information is included.

# Technical Details## File Formats- CSV: Contains the annotated comments and metadata

## Size- Number of records: 28,680- Total file size: 15MB

## Version- Version 1.0, July 2024

# Access and Use## AccessThe dataset can be downloaded from Zenodo: [Zenodo Link](https://doi.org/10.5281/zenodo.13174322)

## LicenseThis dataset is licensed under the Creative Commons Attribution 4.0 International License (CC BY 4.0).
DOI: 10.5281/zenodo.13174322
title: Self-Admitted Technical Debt in Scientific Software

description: # TitleSelf-Admitted Technical Debt (SATD) in Scientific Software Projects

# Description## AbstractThis dataset contains annotated code comments from nine open-source scientific software projects: Astropy, Biopython, CESM, Firedrake, MOOSE, GROMACS, Elmer, Athena, and Root. The comments are labeled to identify instances of Self-Admitted Technical Debt (SATD), with a focus on a novel category termed Scientific Debt (SD). The dataset supports research on the nature and management of technical debt in scientific software.

## PurposeThe dataset was created to explore the prevalence and characteristics of SATD in scientific software, with the aim of improving software maintainability and scientific validity.

## ContentThe dataset includes over 28,680 annotated code comments, with labels indicating various types of technical debt such as Code Debt, Design Debt, and Scientific Debt. Each comment is accompanied by metadata including the project name, file path, comment introduction date, and comment removal date.

## ScopeThe dataset covers nine projects across different scientific domains, including astronomy, molecular biology, and climate modeling. Data was collected from publicly available repositories and spans from the inception of each project to the present.

## MethodologyData was extracted using GitPython to access the version control histories of the selected projects. Comments were manually labeled for SATD, with a focus on identifying Scientific Debt indicators such as assumptions, missing edge cases, computational inaccuracies, translation challenges, and new scientific findings.

## Usage NotesThis dataset can be used for research on technical debt management, software maintenance, and scientific software development. Users should have a basic understanding of programming and version control systems. Recommended tools for analysis include Python and Pandas.

## Ethical ConsiderationsAll data was collected from publicly available sources. No personal or sensitive information is included.

# Technical Details## File Formats- CSV: Contains the annotated comments and metadata

## Size- Number of records: 28,680- Total file size: 15MB

## Version- Version 1.0, July 2024

# Access and Use## AccessThe dataset can be downloaded from Zenodo: [Zenodo Link](https://doi.org/10.5281/zenodo.13174322)

## LicenseThis dataset is licensed under the Creative Commons Attribution 4.0 International License (CC BY 4.0).
DOI: 10.5281/zenodo.13177665
title: Binary black-hole simulation SXS:BBH:3975

description: Simulation of a black-hole binary system evolved by the SpEC code.
DOI: 10.5281/zenodo.13177666
title: Binary black-hole simulation SXS:BBH:3975

description: Simulation of a black-hole binary system evolved by the SpEC code.
DOI: 10.15468/dl.zed7v6
title: Occurrence Download

description: A dataset containing 447 species occurrences available in GBIF matching the query:
{
 "and" : [
 "DatasetKey is one of (iNaturalist Research-grade Observations, USDA United States National Fungus Collections, University of British Columbia Herbarium (UBC) - Vascular Plant Collection, Academy of Natural Sciences of Philadelphia Ornithology Collection, University of South Florida Herbarium (USF), Pl@ntNet automatically identified occurrences, The Lepidopterists' Society Season Summary, Great Backyard Bird Count, Duke University Herbarium Bryophyte Collection)",
 "Geometry POLYGON((-117.28957 49.48737,-117.32346 49.46932,-117.30449 49.43759,-117.23603 49.45037,-117.23264 49.47681,-117.25433 49.48561,-117.28957 49.48737))",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present"
 ]
}

 The dataset includes 447 records from 9 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0045918-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.13177765
title: Binary black-hole simulation SXS:BBH:1377

description: Simulation of a black-hole binary system evolved by the SpEC code.
DOI: 10.5281/zenodo.13177766
title: Binary black-hole simulation SXS:BBH:1377

description: Simulation of a black-hole binary system evolved by the SpEC code.
DOI: 10.5281/zenodo.13177780
title: Binary black-hole simulation SXS:BBH:0319

description: Simulation of a black-hole binary system evolved by the SpEC code.
DOI: 10.5281/zenodo.13177781
title: Binary black-hole simulation SXS:BBH:0319

description: Simulation of a black-hole binary system evolved by the SpEC code.
DOI: 10.15468/dl.acz7jq
title: Occurrence Download

description: A dataset containing 568 species occurrences available in GBIF matching the query:
{
 "and" : [
 "PublishingOrg is da86174a-a605-43a4-a5e8-53d484152cd3",
 "TaxonKey is Echium candicans L.fil."
 ]
}

 The dataset includes 568 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0045919-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5517/ccdc.csd.cc2jhqj9
title: CCDC 2338811: Experimental Crystal Structure Determination

description: Related Article: Dongjing Hong|2024|CSD Communication|||
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.15468/dl.y6dhff
title: Occurrence Download

description: A dataset containing 1026 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Human Observation",
 "DatasetKey is iNaturalist Research-grade Observations",
 "TaxonKey is Amblyglyphidodon curacao (Bloch, 1787)"
 ]
}

 The dataset includes 1026 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0045920-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5517/ccdc.csd.cc2jj18d
title: CCDC 2339113: Experimental Crystal Structure Determination

description: Related Article: Dongjing Hong|2024|CSD Communication|||
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc2jj1ty
title: CCDC 2339130: Experimental Crystal Structure Determination

description: Related Article: Dongjing Hong|2024|CSD Communication|||
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.