cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.17165808
title: "He Started It" Analysis Code and Data

description: These are the analysis code and data files used to produce the analysis in our paper “Men’s impulsivity underpins gender differences in aggressive behaviour”, published in Scientific Reports in 2025, DOI: 10.1038/s41598-025-20114-6.
DOI: 10.5517/ccdc.csd.cc1kg359
title: CCDC 1443520: Experimental Crystal Structure Determination

description: Related Article: Radovan Herchel, Ivan Nemec, Marek Machata, Zdeněk Trávníček|2016|Dalton Trans.|45|18622|doi:10.1039/C6DT03520E
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.cc1kh0mp
title: CCDC 1444402: Experimental Crystal Structure Determination

description: Related Article: Cheng-Xia Chen, Shao-Ping Zheng, Zhangwen Wei, Chen-Chen Cao, Haiping Wang, Dawei Wang, Ji-Jun Jiang, Dieter Fenske, Cheng-Yong Su|2017|Chem.-Eur.J.|23|4060|doi:10.1002/chem.201606038
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.kamq5a
title: Occurrence Download

description: A dataset containing 5928 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Polyalthia longifolia)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 5928 records from 55 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000137-251009101135966/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.cc1l3hkr
title: CCDC 1463124: Experimental Crystal Structure Determination

description: Related Article: Zhan-Wei Li, Zhi-Hong Ma, Su-Zhen Li, Zhan-Gang Han, Xue-Zhong Zheng, Jin Lin|2017|Transition Met.Chem.|42|137|doi:10.1007/s11243-016-0116-6
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.cc1l3hls
title: CCDC 1463125: Experimental Crystal Structure Determination

description: Related Article: Zhan-Wei Li, Zhi-Hong Ma, Su-Zhen Li, Zhan-Gang Han, Xue-Zhong Zheng, Jin Lin|2017|Transition Met.Chem.|42|137|doi:10.1007/s11243-016-0116-6
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.cc1l3hmt
title: CCDC 1463126: Experimental Crystal Structure Determination

description: Related Article: Zhan-Wei Li, Zhi-Hong Ma, Su-Zhen Li, Zhan-Gang Han, Xue-Zhong Zheng, Jin Lin|2017|Transition Met.Chem.|42|137|doi:10.1007/s11243-016-0116-6
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.cc1l3hpw
title: CCDC 1463128: Experimental Crystal Structure Determination

description: Related Article: Zhan-Wei Li, Zhi-Hong Ma, Su-Zhen Li, Zhan-Gang Han, Xue-Zhong Zheng, Jin Lin|2017|Transition Met.Chem.|42|137|doi:10.1007/s11243-016-0116-6
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.cc1llvxy
title: CCDC 1477891: Experimental Crystal Structure Determination

description: Related Article: William D. G. Brittain, Brette M. Chapin, Wenlei Zhai, Vincent M. Lynch, Benjamin R. Buckley, Eric V. Anslyn, John S. Fossey|2016|Org.Biomol.Chem.|14|10778|doi:10.1039/C6OB01623E
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.cc1lqjnh
title: CCDC 1481417: Experimental Crystal Structure Determination

description: Related Article: Zhan-Wei Li, Zhi-Hong Ma, Su-Zhen Li, Zhan-Gang Han, Xue-Zhong Zheng, Jin Lin|2017|Transition Met.Chem.|42|137|doi:10.1007/s11243-016-0116-6
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.cc1lqjpj
title: CCDC 1481418: Experimental Crystal Structure Determination

description: Related Article: Zhan-Wei Li, Zhi-Hong Ma, Su-Zhen Li, Zhan-Gang Han, Xue-Zhong Zheng, Jin Lin|2017|Transition Met.Chem.|42|137|doi:10.1007/s11243-016-0116-6
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.cc1lqv8f
title: CCDC 1481715: Experimental Crystal Structure Determination

description: Related Article: Shuyao Zhang, Chuan Shan, Shuai Zhang, Luye Yuan, Jianwu Wang, Chen-Ho Tung, Ling-Bao Xing, Zhenghu Xu|2016|Org.Biomol.Chem.|14|10973|doi:10.1039/C6OB02284G
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.cc1lqv9g
title: CCDC 1481716: Experimental Crystal Structure Determination

description: Related Article: Shuyao Zhang, Chuan Shan, Shuai Zhang, Luye Yuan, Jianwu Wang, Chen-Ho Tung, Ling-Bao Xing, Zhenghu Xu|2016|Org.Biomol.Chem.|14|10973|doi:10.1039/C6OB02284G
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: 10.15156/bio/sh0158774.10fu
title: SH0158774.10FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.15156/bio/sh0158775.10fu
title: SH0158775.10FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.6084/m9.figshare.30945071
title: <b>Dataset of Soil Loss Equation Calibration</b>

description: 。。。。。。。
DOI: 10.6084/m9.figshare.30945071.v1
title: <b>Dataset of Soil Loss Equation Calibration</b>

description: Statistical dataset for runoff areas of a paper entitled SLEC: Soil Loss Equation Calibration Based on Spatiotemporal Non-stationarity Statistical Model using Air-ground Data.The data was obtained from the West Lake Basin Soil and Water Conservation Monitoring Station in Caidian District,Wuhan City, Hubei Province, China. And the data had undergone pre-processing and statistical analysis. Specifically, the ID represents the coding for each runoff area within the monitoring station; <i>X</i> and<i> Y </i>are spatial coordinates; <i>R</i> is the rainfall erosion force factor; <i>K</i> is the soil erodibility factor;<i> L</i> is the slope length factor; <i>S</i> is the slope gradient factor; <i>B</i> is the vegetation cover factor; <i>E</i> is the engineering measure factor; <i>T</i> is the tillage measure factor; <i>LOSS</i> is the actual value of soil erosion; <i>SUM_LOSS</i> is the cumulative actual value of soil erosion; <i>A</i> is the monthly soil erosion modulus;<i> SUM_A</i> is the cumulative monthly soil erosion modulus.
DOI: 10.6084/m9.figshare.30945071.v2
title: <b>Dataset of Soil Loss Equation Calibration</b>

description: 。。。。。。。
DOI: 10.14470/8d883964
title: Unlocking the secrets of slow slip using next-generation seismic experiments (Slow Slip)

description: The NZ3D-FWI project aims to image the Hikurangi subduction zone (upper and lower plates and plate boundary fault) along the north Hikurangi margin, New Zealand where shallow slow slip events occur. The primary aim of the project is to collect data optimally to produce high-resolution active-source seismic velocity models using Full-waveform inversion (FWI). This deployment was part of a much larger experiment involving the collection of offshore 3D seismic reflection data and the deployment of 99 Ocean Bottom Seismographs. The onshore NZ3D-FWI deployment covered a 15 x 30 km area and included 49 CMG-6TD broadband seismometers from GEF deployed from December 2017 to October 2018, which detected airgun shots from the 3D seismic reflection survey and local and teleseismic earthquakes over the 9 month period. 119 short-period DATACUBE3 instruments loaned from GIPP Potsdam and 25 short-period GSX3 instruments from the Earthquake Research Institute (ERI), Tokyo were also deployed onshore between December 2017 and February 2018. The full NZ3D-FWI experiment is described in detail in: Bell R, Gray M, Morgan J, Warner M, Fagereng A, McNeill L, Jacobs K, Henrys SA, Fry B, Watkins S, Lacey H, Black JA, Lane V, Daly D, Lindsay D, Bangs N, Arai R, Kodaira S, NZ3D-FWI team. 2019. New Zealand 3D full waveform inversion (NZ3DFWI) 2017-2018 field acquisition report. Lower Hutt (NZ): GNS Science. 79 p. (GNS Science report; 2019/71). doi:10.21420/ZZ8R-QR04 This dataset contains only data from DATACUBE3 instruments (onshore). Data conversion was done with GIPPtools (Lendl, C. (2024). GIPPtools (2024.354). Zenodo. https://doi.org/10.5281/zenodo.14524955). All station metadata were taken from Bell et al., 2019, Table Table A4.1 in Appendix 4. Exceptions: station EC09: Sensor orientation and geophone serial number were not recorded and set to 0 and 999, respectively. Station EC10: Sensor orientation was not recorded and set to 0. Station EC04: Station elevation was not recorded and set to 33.0. Station DC71: sensor orientation was not fully recorded and set to 5°E. Some sensors were misoriented; azimuths are contained in the metadata; in case of misorientation larger than 15°, channel orientation codes 1 and 2 were used instead of N and E. Waveform data is available from the GEOFON data centre, under network code 3Q.
DOI: 10.15156/bio/sh0158776.10fu
title: SH0158776.10FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.15156/bio/sh0158777.10fu
title: SH0158777.10FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.15156/bio/sh0158778.10fu
title: SH0158778.10FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.15156/bio/sh0158779.10fu
title: SH0158779.10FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.15156/bio/sh0158780.10fu
title: SH0158780.10FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.15156/bio/sh0158781.10fu
title: SH0158781.10FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.15156/bio/sh0158782.10fu
title: SH0158782.10FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.15468/dl.4nfnnt
title: Occurrence Download

description: A dataset containing 1418 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Alsophila podophylla Hook."
 ]
}

 The dataset includes 1418 records from 50 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0218665-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.f4ymtm
title: Occurrence Download

description: A dataset containing 266 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Harpyopsis novaeguineae Salvadori, 1875"
 ]
}

 The dataset includes 266 records from 18 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0014706-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.jctecb
title: Occurrence Download

description: A dataset containing 61173 species occurrences available in GBIF matching the query:
{
 "and" : [
 {
 "or" : [
 "BasisOfRecord is Human Observation",
 "BasisOfRecord is Machine Observation",
 "BasisOfRecord is Specimen"
 ]
 },
 "Geometry POLYGON((22.47253 68.56018,29.26209 68.56018,29.20349 70.27405,22.42859 70.19348,22.47253 68.56018))",
 "Month is June",
 "OccurrenceStatus is Present",
 "Year 2010-2021"
 ]
}

 The dataset includes 61173 records from 51 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0034095-210914110416597/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.