cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15468/dl.h2ura7
title: Occurrence Download

description: A dataset containing 60690 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Carnivora)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Year is greater than or equal to 1980",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 },
 "Geometry POLYGON((-180 60,-150 60,-150 90,-180 90,-180 60))"
 ]
}

 The dataset includes 60690 records from 270 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0046647-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.wcgdkb
title: Occurrence Download

description: A dataset containing 112 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is one of (Observation, Machine Observation, Human Observation)",
 "Country is Indonesia",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Tupaia javanica",
 "Year 2015-2025"
 ]
}

 The dataset includes 112 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0046665-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.rf5kue
title: Occurrence Download

description: A dataset containing 191674 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Trachemys scripta)",
 "BasisOfRecord is one of (Specimen, Literature Occurrence, Human Observation, Observation)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Year is greater than or equal to 1991",
 "Year is less than or equal to 2025"
 ]
}

 The dataset includes 191674 records from 914 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0046650-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.26023/bst5-vntd-qh0j
title: DYNAMO: Indonesia Site - Kupang Radiosonde L3.0 Data. Version 1.0

description: This data set includes 349 high vertical resolution soundings from Kupang, Indonesia (WMO 97372) collected during the DYNAMO field campaign for 2011-12. Soundings were typically released twice daily at 00 and 12 UTC from 30 September 2011 to 31 March 2012. The station utilized Meisei RS-06G radiosondes. These soundings were provided by JAMSTEC. This revised L3.0 version of the data set was released 20 May 2014 and adjustments were made to the PDF matching and correction for the relative humidity discontinuity at the 0C level. These adjustments were applied by JAMSTEC.
DOI: 10.15468/dl.6fs9qf
title: Occurrence Download

description: A dataset containing 2613268 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Accipiter nisus)",
 "BasisOfRecord is one of (Specimen, Literature Occurrence, Human Observation, Observation)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Year is greater than or equal to 1991",
 "Year is less than or equal to 2025"
 ]
}

 The dataset includes 2613268 records from 3195 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0046615-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.7910/dvn/eyim7n
title: Marriage Index, Divorce Index, and Death Index for Washington State

description: Marriage Index, Divorce Index, and Death Index for the State of Washington. Provided to Evan Soltas by Debbie Bahn, Digital State Archivist for the Washington State Archives.
DOI: 10.5281/zenodo.15238469
title: Urban Flood Observations dataset

description: High‑resolution, hand‑labeled global urban flood time observations of 13 global events derived from 3-meter PlanetScope imagery (231 scenes, 2018 – 2022).Labels were generated by the Social [Pixel] Lab using Labelbox; the package you’ve downloaded was created in March of 2024.

/UrbanFloodObservations    The manually labeled component of the dataset is organized into two top‑level folders whose names describe their contents:* PlanetScope – 8‑bit, 3-meter PlanetScope image chips.* Labels – single‑band flood masks that correspond pixel‑for‑pixel to each PlanetScope chip.In every label image the pixel values are binary: 0 = non‑inundated and 1 = inundated./stac_catalog    The STAC catalog for the entire dataset. It has the exact same folder structure as the “UrbanFloodObservations” folder and contains a detailed description of the dataset in metadata.

***************************************************************************For questions regarding the released dataset, contact:Dataset Creator: rohitmukherjee@live.com
DOI: 10.5281/zenodo.15238470
title: Urban Flood Observations dataset

description: High‑resolution, hand‑labeled global urban flood time observations of 13 global events derived from 3-meter PlanetScope imagery (231 scenes, 2018 – 2022).Labels were generated by the Social [Pixel] Lab using Labelbox; the package you’ve downloaded was created in March of 2024.

/UrbanFloodObservations    The manually labeled component of the dataset is organized into two top‑level folders whose names describe their contents:* PlanetScope – 8‑bit, 3-meter PlanetScope image chips.* Labels – single‑band flood masks that correspond pixel‑for‑pixel to each PlanetScope chip.In every label image the pixel values are binary: 0 = non‑inundated and 1 = inundated./stac_catalog    The STAC catalog for the entire dataset. It has the exact same folder structure as the “UrbanFloodObservations” folder and contains a detailed description of the dataset in metadata.

***************************************************************************For questions regarding the released dataset, contact:Dataset Creator: rohitmukherjee@live.com
DOI: 10.5281/zenodo.18084616
title: Dataset of A Domain-Oriented Onboarding Approach for Newcomers in Agile Software Teams: An Empirical Case Study
DOI: 10.5281/zenodo.18084615
title: Dataset of A Domain-Oriented Onboarding Approach for Newcomers in Agile Software Teams: An Empirical Case Study
DOI: 10.48459/ycrw-4706
title: Snow depth basal ice Reindalen 2024
DOI: 10.5281/zenodo.18084435
title: Raw and processed data used for agathisflavone quantification

description: This Excel file contains raw and processed quantitative data used in the study,including calibration curves, peak areas, and calculated concentrations.
DOI: 10.5281/zenodo.18084436
title: Raw and processed data used for agathisflavone quantification

description: This Excel file contains raw and processed quantitative data used in the study,including calibration curves, peak areas, and calculated concentrations.
DOI: 10.48459/56v2-b680
title: Snow depth basal ice Lågnesflya 2024
DOI: 10.6084/m9.figshare.30664505
title: Meta-omics profiling of denitrifying bacterial communities with lignin as carbon source

description: Enrichment of bacterial communities using lignin as sole carbon source under denitrifying conditions. Metagenomic and metaproteomic analysis performed.
DOI: 10.6084/m9.figshare.30664505.v1
title: Meta-omics profiling of denitrifying bacterial communities with lignin as carbon source

description: Enrichment of bacterial communities using lignin as sole carbon source under denitrifying conditions. Metagenomic and metaproteomic analysis performed.
DOI: 10.6084/m9.figshare.30963347.v2
title: Research data set, data processing (code system and variables)

description: This study aims to identify the factors that can lead to potential communication crises in AI-enabled chatbots, based on real user experiences. The qualitative research method used was interpretive phenomenological research, as user experiences were at stake. In this context, in-depth interviews were conducted with 12 users who experienced chatbots in solving problems with different organisations in Turkey. The data set obtained as a result of the interviews was analysed using content analysis technique. The results highlighted 4 factors while expressing both the quality of artificial intelligence and users' experiences. These are: chatbots cannot understand users, they do not create an interaction environment, they cannot produce solutions, and they are insufficient in terms of speed and time.
DOI: 10.48459/1bxg-rk11
title: Snow depth basal ice Fuglebergsletta 2024
DOI: 10.34740/kaggle/dsv/14330646
title: Peer-to-Peer Boliviano (BOB) Exchange Data
DOI: 10.15468/dl.7wprca
title: Occurrence Download

description: A dataset containing 2 species occurrences available in GBIF matching the query:
{
 "and" : [
 "OccurrenceStatus is Present",
 "TaxonKey is Meloe austrinus"
 ]
}

 The dataset includes 2 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0068398-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.6hsxeb
title: Occurrence Download

description: A dataset containing 7696463 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is China",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "Year 1985-2025"
 ]
}

 The dataset includes 7696463 records from 3674 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0068394-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.jr49rc
title: Occurrence Download

description: A dataset containing 543 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 one of (Tripterospermum cordatum (C.Marquand) Harry Sm.)"
 ]
}

 The dataset includes 543 records from 13 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0030778-241107131044228/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.qhegtu
title: Occurrence Download

description: A dataset containing 10 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 one of (Tripterospermum cordifolioides J.Murata)"
 ]
}

 The dataset includes 10 records from 7 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0030779-241107131044228/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.h6gy2b
title: Occurrence Download

description: A dataset containing 22 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 one of (Tripterospermum cordifolium (Yamam.) Satake)"
 ]
}

 The dataset includes 22 records from 7 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0030780-241107131044228/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/9996849
title: ⏳ endoflife.date database (duckdb)
DOI: 10.34740/kaggle/dsv/9996873
title: Nvidia Complete Lineup Dataset
DOI: 10.15468/dl.mww8v7
title: Occurrence Download

description: A dataset containing 1652 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Diaphorina citri Kuwayama, 1908"
 ]
}

 The dataset includes 1652 records from 23 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0030781-241107131044228/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/9996884
title: Nvidia Complete Lineup Dataset
DOI: 10.34740/kaggle/dsv/9996911
title: Nvidia Complete Lineup Dataset
DOI: 10.15468/dl.d5nxwe
title: Occurrence Download

description: A dataset containing 1652 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Diaphorina citri Kuwayama, 1908"
 ]
}

 The dataset includes 1652 records from 23 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0030782-241107131044228/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.5bddgu
title: Occurrence Download

description: A dataset containing 1660 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Specimen",
 "TaxonKey is Bauhinia purpurea L."
 ]
}

 The dataset includes 1660 records from 171 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0030783-241107131044228/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.14132134
title: Computation-Ready Experimental Metal-Organic Framework (CoRE MOF) 2019 Dataset

description: High-throughput computational screening of metal-organic frameworks rely on the availability of atomic coordinate files which can be used as input to simulation software packages. CoRE MOF Datasets are derived from Cambridge Structural Database (CSD) and also from the World Wide Web.

Nomenclatures:

LCD (Largest Cavity Diameter), PLD (pore limiting diameter), LFPD (Largest Sphere along the Free Path), ASA (Accessible Surface Area), NASA (Non-accessible surface area), AV_VF (Void Fraction, 0 - 1), NAV (Non Accessible Volume)

Dataset Directory Organization

CoREMOF2019_public_v2.zip: dataset with CR and NCR classifications

1.  ASR: all solvent removed



    CR dataset: computaion-ready (N = 6,603)

    NCR dataset: not computaion-ready (N = 5,417)



Both: NCR determined by Chen_Manz and mofchecker (N = 2,597)

Chen_Manz: NCR determined by Chen_Manz (N = 958)

mofchecker: NCR determined by mofchecker (N = 1,859)

PACMAN_fail: NCR determined by Chen_Manz and mofchecker, and fail to predict PACMAN charges (N = 3)




2.  FSR: free solvent removed



    CR: computaion-ready (N = 3,764)

    NCR: not computaion-ready (N = 3,297)



Both: NCR determined by Chen_Manz and mofchecker (N = 1,646)

Chen_Manz: NCR determined by Chen_Manz (N = 463)

mofchecker: NCR determined by mofchecker (N = 1,185)

PACMAN_fail: NCR determined by Chen_Manz and mofchecker, and fail to predict PACMAN charges (N = 3)




2. NCR_detail.xlsx: details of all structures by mofchecker and Chen_Manz for each NCR cases

November, 13 2024



Classification of Computation-Ready (CR) and Not Computation-Ready (NCR) Structures based on Chen & Manz (RSC Adv., 2020,10, 26944-26951) and MOFChecker program by Kevin M. Jablonka)

ML-predicted DDEC6 partial atomic charges based on PACMAN


March, 2 2023



Added topology data from ToposPro for part of the ASR dataset (10,024)


February, 21 2020



Unmodified filenames are available in ASR-full_unmodified.csv and FSR-full_unmodified.csv


November, 4 2019



Added a spreadsheet for the full internal version of ASR datasets (N = 14,142).

Moved additional disordered structures to disorder folder (thanks to Matthew Witman and Martin Hutereau)


August, 17 2019



FIJDOS_freeONLY has been corrected.


Acknowledgements



This reserach is supported by the National Research Foundation of Korea (No. 2016R1D1A1B3934484, NRF-2020R1C1C1010373, RS-2024-00449431)

This research is supported by the U.S. Department of Energy, Office of Basic Energy Sciences, Division of Chemical Sciences, Geosciences and Biosciences under Award DE-FG02-17ER16362 (Predictive Hierarchical Modeling of Chemical Separations and Transformations in Functional Nanoporous Materials: Synergy of Electronic Structure Theory, Molecular Simulations, Machine Learning, and Experiment)
DOI: 10.5281/zenodo.14184621
title: Computation-Ready Experimental Metal-Organic Framework (CoRE MOF) 2019 Dataset

description: High-throughput computational screening of metal-organic frameworks rely on the availability of atomic coordinate files which can be used as input to simulation software packages. CoRE MOF Datasets are derived from Cambridge Structural Database (CSD) and also from the World Wide Web.

Nomenclatures:

LCD (Largest Cavity Diameter), PLD (pore limiting diameter), LFPD (Largest Sphere along the Free Path), ASA (Accessible Surface Area), NASA (Non-accessible surface area), AV_VF (Void Fraction, 0 - 1), NAV (Non Accessible Volume)

Dataset Directory Organization

CoREMOF2019_public_v2.zip: dataset with CR and NCR classifications

1.  CR dataset: computaion-ready (N = 10,367)



    ASR: all solvent removed (N = 6,603)

    FSR: free solvent removed (N = 3,764)


2.  NCR: not computaion-ready (N = 8,714)



    ASR: all solvent removed (N = 5,417)



Both: NCR determined by Chen_Manz and mofchecker (N = 2,597)

Chen_Manz: NCR determined by Chen_Manz (N = 958)

mofchecker: NCR determined by mofchecker (N = 1,859)

PACMAN_fail: NCR determined by Chen_Manz and mofchecker, and fail to predict PACMAN charges (N = 3)



    FSR: free solvent removed (N = 3,297)



Both: NCR determined by Chen_Manz and mofchecker (N = 1,646)

Chen_Manz: NCR determined by Chen_Manz (N = 463)

mofchecker: NCR determined by mofchecker (N = 1,185)

PACMAN_fail: NCR determined by Chen_Manz and mofchecker, and fail to predict PACMAN charges (N = 3)




2. NCR_detail.xlsx: details of all structures by mofchecker and Chen_Manz for each NCR cases

November, 24 2024



Re-ordering of folders such that top level directory is based on computation-ready and not-computation ready classification.


November, 13 2024



Classification of Computation-Ready (CR) and Not Computation-Ready (NCR) Structures based on Chen & Manz (RSC Adv., 2020,10, 26944-26951) and MOFChecker program by Kevin M. Jablonka)

ML-predicted DDEC6 partial atomic charges based on PACMAN


Acknowledgements



This reserach is supported by the National Research Foundation of Korea (No. 2016R1D1A1B3934484, NRF-2020R1C1C1010373, RS-2024-00449431)

This research is supported by the U.S. Department of Energy, Office of Basic Energy Sciences, Division of Chemical Sciences, Geosciences and Biosciences under Award DE-FG02-17ER16362 (Predictive Hierarchical Modeling of Chemical Separations and Transformations in Functional Nanoporous Materials: Synergy of Electronic Structure Theory, Molecular Simulations, Machine Learning, and Experiment)
DOI: 10.5281/zenodo.3227659
title: Computation-Ready Experimental Metal-Organic Framework (CoRE MOF) 2019 Dataset

description: High-throughput computational screening of metal-organic frameworks rely on the availability of atomic coordinate files which can be used as input to simulation software packages. CoRE MOF Datasets are derived from Cambridge Structural Database (CSD) and also from the World Wide Web.

Nomenclatures:

LCD (Largest Cavity Diameter), PLD (pore limiting diameter), LFPD (Largest Sphere along the Free Path), ASA (Accessible Surface Area), NASA (Non-accessible surface area), AV_VF (Void Fraction, 0 - 1), NAV (Non Accessible Volume)

Dataset Directory Organization

CoREMOF2019_public_v2.zip: dataset with CR and NCR classifications

1.  CR dataset: computaion-ready (N = 10,367)



    ASR: all solvent removed (N = 6,603)

    FSR: free solvent removed (N = 3,764)


2.  NCR: not computaion-ready (N = 8,714)



    ASR: all solvent removed (N = 5,417)



Both: NCR determined by Chen_Manz and mofchecker (N = 2,597)

Chen_Manz: NCR determined by Chen_Manz (N = 958)

mofchecker: NCR determined by mofchecker (N = 1,859)

PACMAN_fail: NCR determined by Chen_Manz and mofchecker, and fail to predict PACMAN charges (N = 3)



    FSR: free solvent removed (N = 3,297)



Both: NCR determined by Chen_Manz and mofchecker (N = 1,646)

Chen_Manz: NCR determined by Chen_Manz (N = 463)

mofchecker: NCR determined by mofchecker (N = 1,185)

PACMAN_fail: NCR determined by Chen_Manz and mofchecker, and fail to predict PACMAN charges (N = 3)




2. NCR_detail.xlsx: details of all structures by mofchecker and Chen_Manz for each NCR cases

November, 24 2024



Re-ordering of folders such that top level directory is based on computation-ready and not-computation ready classification.


November, 13 2024



Classification of Computation-Ready (CR) and Not Computation-Ready (NCR) Structures based on Chen & Manz (RSC Adv., 2020,10, 26944-26951) and MOFChecker program by Kevin M. Jablonka)

ML-predicted DDEC6 partial atomic charges based on PACMAN


Acknowledgements



This reserach is supported by the National Research Foundation of Korea (No. 2016R1D1A1B3934484, NRF-2020R1C1C1010373, RS-2024-00449431)

This research is supported by the U.S. Department of Energy, Office of Basic Energy Sciences, Division of Chemical Sciences, Geosciences and Biosciences under Award DE-FG02-17ER16362 (Predictive Hierarchical Modeling of Chemical Separations and Transformations in Functional Nanoporous Materials: Synergy of Electronic Structure Theory, Molecular Simulations, Machine Learning, and Experiment)
DOI: 10.5281/zenodo.3677685
title: Computation-Ready Experimental Metal-Organic Framework (CoRE MOF) 2019 Dataset

description: High-throughput computational screening of metal-organic frameworks rely on the availability of<strong><em> </em></strong>atomic coordinate files which can be used as input to simulation software packages. CoRE MOF Datasets are derived from Cambridge Structural Database (CSD) and also from the World Wide Web. This research is supported by the U.S. Department of Energy, Office of Basic Energy Sciences, Division of Chemical Sciences, Geosciences and Biosciences under Award DE-FG02-17ER16362 (Predictive Hierarchical Modeling of Chemical Separations and Transformations in Functional Nanoporous Materials: Synergy of Electronic Structure Theory, Molecular Simulations, Machine Learning, and Experiment). <strong>- Please report any errors that you have found from the dataset by filling out this form!<br> - For bulk submission, send an email to drygchung(at)gmail.com</strong> <strong>Nomenclatures:</strong> LCD (Largest Cavity Diameter), PLD (pore limiting diameter), LFPD (Largest Sphere along the Free Path), ASA (Accessible Surface Area), NASA (Non-accessible surface area), AV_VF (Void Fraction, 0 - 1), NAV (Non Accessible Volume) <strong>February, 21 2020</strong> - Unmodified filenames are available in ASR-full_unmodified.csv and FSR-full_unmodified.csv <strong>November, 4 2019</strong> - Added a spreadsheet for the full internal version of ASR datasets (<em>N</em> = 14,142). - Moved additional disordered structures to disorder folder (thanks to Matthew Witman and Martin Hutereau) <strong>August, 17 2019</strong> - FIJDOS_freeONLY has been corrected.