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

description: A dataset containing 7343 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Botswana",
 "Month is February",
 "Year 2011-2019"
 ]
}

 The dataset includes 7343 records from 14 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003222-190621201848488/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.cc27tp0s
title: CCDC 2080255: Experimental Crystal Structure Determination

description: Related Article: Zhuo-Cheng Li, Hao Cui, Su-Hang Xu, Zi-Hang Zhang, Zuo-Qin Liang, Chang-Qing Ye, Xiao-Mei Wang|2024|New J.Chem.|48|12834|doi:10.1039/D4NJ02060J
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.cc27tp1t
title: CCDC 2080256: Experimental Crystal Structure Determination

description: Related Article: Zhuo-Cheng Li, Hao Cui, Su-Hang Xu, Zi-Hang Zhang, Zuo-Qin Liang, Chang-Qing Ye, Xiao-Mei Wang|2024|New J.Chem.|48|12834|doi:10.1039/D4NJ02060J
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.cc282pdg
title: CCDC 2087955: Experimental Crystal Structure Determination

description: Related Article: Zhuo-Cheng Li, Hao Cui, Su-Hang Xu, Zi-Hang Zhang, Zuo-Qin Liang, Chang-Qing Ye, Xiao-Mei Wang|2024|New J.Chem.|48|12834|doi:10.1039/D4NJ02060J
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.cc2gnk8z
title: CCDC 2283871: Experimental Crystal Structure Determination

description: Related Article: Liang Zhang, Di Wu, Menglong Zhang, Fuhai Yu, Ying Bao, Chuang Xie, Baohong Hou, Dingding Jing, Chuntao Zhang, Wei Chen|2024|CrystEngComm|26|3808|doi:10.1039/D4CE00345D
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.cc2gnm5y
title: CCDC 2283930: Experimental Crystal Structure Determination

description: Related Article: Liang Zhang, Di Wu, Menglong Zhang, Fuhai Yu, Ying Bao, Chuang Xie, Baohong Hou, Dingding Jing, Chuntao Zhang, Wei Chen|2024|CrystEngComm|26|3808|doi:10.1039/D4CE00345D
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.cc2ff2dc
title: CCDC 2246892: Experimental Crystal Structure Determination

description: Related Article: Xiaohui Fu|2023|CSD Communication|||
description: Related Article: Xiao-Hui Fu, Juan Liao, Zhen-Hua Wang, Zhen-Zhen Ge, Ming-Qiang Zhou, Yong You, Yan-Ping Zhang, Jian-Qiang Zhao, Ji-Hong Lu, Wei-Cheng Yuan|2024|Org.Chem.Front.|11|4131|doi:10.1039/D4QO00609G
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.cc2hhdjy
title: CCDC 2308710: Experimental Crystal Structure Determination

description: Related Article: Sarat Chatterjee, Rousunara Khatun, Mahammad Ali, Chinmay Chowdhury|2024|Chem.Commun.|60|7427|doi:10.1039/D4CC00668B
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.cc2hhdkz
title: CCDC 2308711: Experimental Crystal Structure Determination

description: Related Article: Sarat Chatterjee, Rousunara Khatun, Mahammad Ali, Chinmay Chowdhury|2024|Chem.Commun.|60|7427|doi:10.1039/D4CC00668B
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.cc2hlb2j
title: CCDC 2311517: Experimental Crystal Structure Determination

description: Related Article: Pierre Arnaut, Nestor Bracho Pozsoni, Fady Nahra, Nikolaos V. Tzouras, Steven P. Nolan|2024|Dalton Trans.|53|11952|doi:10.1039/D4DT01402B
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.cc2hly46
title: CCDC 2312108: Experimental Crystal Structure Determination

description: Related Article: Abhishek Kumar Yadav, Rimpi Devi, Vikas D. Ghule, Srinivas Dharavath|2024|Org.Lett.|26|6006|doi:10.1021/acs.orglett.4c02116
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.cc2hly57
title: CCDC 2312109: Experimental Crystal Structure Determination

description: Related Article: Abhishek Kumar Yadav, Rimpi Devi, Vikas D. Ghule, Srinivas Dharavath|2024|Org.Lett.|26|6006|doi:10.1021/acs.orglett.4c02116
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.cc2hp2bm
title: CCDC 2314160: Experimental Crystal Structure Determination

description: Related Article: Zhenzhong Wang, Yiping Du, Chao Wang, Lin Ma, Chen Li, Taifeng Lin, Jiawen Xiao, Zhengguang Yan|2024|Inorg.Chem.|63|13546|doi:10.1021/acs.inorgchem.4c01654
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.cc2hz0fy
title: CCDC 2322750: Experimental Crystal Structure Determination

description: Related Article: Oier Pajuelo-Corral, MCarmen Contreras, Sara Rojas, Duane Choquesillo-Lazarte, José M. Seco, Antonio Rodríguez-Diéguez, Alfonso Salinas-Castillo, Javier Cepeda, Andoni Zabala-Lekuona, Iñigo J. Vitorica-Yrezabal|2024|Dalton Trans.|53|11750|doi:10.1039/D4DT00401A
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.cc2gs56n
title: CCDC 2287341: Experimental Crystal Structure Determination

description: Related Article: Biswajit Bera, Pulak Jana, Subrata Mandal, Sudip Kundu, Akash Das, Krishnananda Chattopadhyay, Tapan Kumar Mondal|2024|Dalton Trans.|53|11914|doi:10.1039/D4DT00950A
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.cc2hz0gz
title: CCDC 2322751: Experimental Crystal Structure Determination

description: Related Article: Oier Pajuelo-Corral, MCarmen Contreras, Sara Rojas, Duane Choquesillo-Lazarte, José M. Seco, Antonio Rodríguez-Diéguez, Alfonso Salinas-Castillo, Javier Cepeda, Andoni Zabala-Lekuona, Iñigo J. Vitorica-Yrezabal|2024|Dalton Trans.|53|11750|doi:10.1039/D4DT00401A
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.ddz7b3
title: Occurrence Download

description: A dataset listing the 4565 species recorded in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((6.61322 53.31446,6.39424 53.29705,6.29988 53.11839,6.45563 52.92415,6.75523 52.91407,6.90457 53.11381,6.82669 53.28972,6.61322 53.31446))",
 "TaxonKey is Plantae"
 ]
}

 The dataset's 4565 records were derived from 44 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0034884-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.67duxl
title: Occurrence Download

description: A dataset containing 10 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Indonesia",
 "TaxonKey is Hopea andersonii P.S.Ashton"
 ]
}

 The dataset includes 10 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003223-190621201848488/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.lzrbog
title: Occurrence Download

description: A dataset containing 129574 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "TaxonKey is Conyza canadensis (L.) Cronquist",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 129574 records from 464 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003217-190621201848488/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.jriqeh
title: Occurrence Download

description: A dataset containing 11 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Botswana",
 "Year 1998-2019",
 "Geometry POLYGON((21.07178 -26.11599,27.57568 -26.11599,27.57568 -19.14517,21.07178 -19.14517,21.07178 -26.11599))",
 "TaxonKey is Aloe L.",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 11 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003224-190621201848488/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ymtrbi
title: Occurrence Download

description: A dataset containing 3 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Botswana",
 "PublishingOrg is 28eb1a3f-1c15-4a95-931a-4af90ecb574d",
 "Month is May",
 "Year 1998-2019",
 "Geometry POLYGON((21.07178 -26.11599,27.57568 -26.11599,27.57568 -19.14517,21.07178 -19.14517,21.07178 -26.11599))",
 {
 "or" : [
 "TaxonKey is Aloe vera (L.) Burm.f.",
 "TaxonKey is Aloe L."
 ]
 },
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 3 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003228-190621201848488/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25574/cdc.204
title: Chandra X-ray Observatory Chandra Data Collection for request #204

description: Chandra Data Collection for request #204
description: DOI updated to include the publication's DOI on 2024-07-24-12:00:00
DOI: 10.15468/dl.uv7pr6
title: Occurrence Download

description: A dataset containing 209242 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Botswana",
 "Geometry POLYGON((21.07178 -26.11599,27.57568 -26.11599,27.57568 -19.14517,21.07178 -19.14517,21.07178 -26.11599))"
 ]
}

 The dataset includes 209242 records from 167 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003214-190621201848488/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.hfwzj0
title: Occurrence Download

description: A dataset containing 1088 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Halocnemum strobilaceum (Pall.) M.Bieb."
 ]
}

 The dataset includes 1088 records from 63 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003225-190621201848488/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.nqu30w
title: Occurrence Download

description: A dataset containing 567 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Halogeton glomeratus (M.Bieb.) C.A.Mey."
 ]
}

 The dataset includes 567 records from 56 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003226-190621201848488/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.vf2mzv
title: Occurrence Download

description: A dataset containing 362 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Halopeplis amplexicaulis (Vahl) Ung.-Sternb. ex Ces., Pass. & Gibelli"
 ]
}

 The dataset includes 362 records from 49 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003227-190621201848488/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.qw7rkt
title: Occurrence Download

description: A dataset containing 81 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Halopeplis perfoliata (Forssk.) Schweinf. & Asch."
 ]
}

 The dataset includes 81 records from 8 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003229-190621201848488/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.10777912
title: Landsat-based Spectral Indices for pan-EU 2000-2022 - Annual predictor (2022): BSF, minNDTI, and NOS

description: Data information
        
This dataset provides annual aggregated predictors BSF, minNDTI, and NOS for the year 2022. They are calculated as follows:
        

        
minNDTI (minimum NDTI) is determined as the minimum value of the six NDTI values over a year (Zheng et al., 2012).
        
BSF (bare soil fraction) is calculated by dividing the number of pixels classified as bare surface within a year's time series (identified by the criterion of NDVI values below 0.35) by the total number of pixels analyzed in that year (Castaldi et al., 2019).
        
NOS (number of seasons) indicates the frequency of cropping cycles within a year, calculated by counting NDVI peaks throughout the year (Li et al., 2014, Liu et al., 2020). 
        
        
As a part of a Data Cube
        
This data represents a subset of the Time-series of Landsat-based Spectral Indices (EU, 30m) data cube. 
        For a comprehensive overview and full dataset information, please visit the landing page of this data cube using the provided link.
        

        
To cite this dataset, refer to the DOI available on the landing page.
        
To access other data layers in the data cube, use the navigation catalog on the landing page as well.
        
        
Support
        
If you discover a bug, artifact, or inconsistency, or if you have a question, please raise a Github Issue!
DOI: 10.5281/zenodo.10777913
title: Landsat-based Spectral Indices for pan-EU 2000-2022 - Annual predictor (2022): BSF, minNDTI, and NOS

description: Data information
        
This dataset provides annual aggregated predictors BSF, minNDTI, and NOS for the year 2022. They are calculated as follows:
        

        
minNDTI (minimum NDTI) is determined as the minimum value of the six NDTI values over a year (Zheng et al., 2012).
        
BSF (bare soil fraction) is calculated by dividing the number of pixels classified as bare surface within a year's time series (identified by the criterion of NDVI values below 0.35) by the total number of pixels analyzed in that year (Castaldi et al., 2019).
        
NOS (number of seasons) indicates the frequency of cropping cycles within a year, calculated by counting NDVI peaks throughout the year (Li et al., 2014, Liu et al., 2020). 
        
        
As a part of a Data Cube
        
This data represents a subset of the Time-series of Landsat-based Spectral Indices (EU, 30m) data cube. 
        For a comprehensive overview and full dataset information, please visit the landing page of this data cube using the provided link.
        

        
To cite this dataset, refer to the DOI available on the landing page.
        
To access other data layers in the data cube, use the navigation catalog on the landing page as well.
        
        
Support
        
If you discover a bug, artifact, or inconsistency, or if you have a question, please raise a Github Issue!
DOI: 10.5281/zenodo.10777910
title: Landsat-based Spectral Indices for pan-EU 2000-2022 - Annual predictor (2021): BSF, minNDTI, and NOS

description: Data information
        
This dataset provides annual aggregated predictors BSF, minNDTI, and NOS for the year 2021. They are calculated as follows:
        

        
minNDTI (minimum NDTI) is determined as the minimum value of the six NDTI values over a year (Zheng et al., 2012).
        
BSF (bare soil fraction) is calculated by dividing the number of pixels classified as bare surface within a year's time series (identified by the criterion of NDVI values below 0.35) by the total number of pixels analyzed in that year (Castaldi et al., 2019).
        
NOS (number of seasons) indicates the frequency of cropping cycles within a year, calculated by counting NDVI peaks throughout the year (Li et al., 2014, Liu et al., 2020). 
        
        
As a part of a Data Cube
        
This data represents a subset of the Time-series of Landsat-based Spectral Indices (EU, 30m) data cube. 
        For a comprehensive overview and full dataset information, please visit the landing page of this data cube using the provided link.
        

        
To cite this dataset, refer to the DOI available on the landing page.
        
To access other data layers in the data cube, use the navigation catalog on the landing page as well.
        
        
Support
        
If you discover a bug, artifact, or inconsistency, or if you have a question, please raise a Github Issue!
DOI: 10.5281/zenodo.10777911
title: Landsat-based Spectral Indices for pan-EU 2000-2022 - Annual predictor (2021): BSF, minNDTI, and NOS

description: Data information
        
This dataset provides annual aggregated predictors BSF, minNDTI, and NOS for the year 2021. They are calculated as follows:
        

        
minNDTI (minimum NDTI) is determined as the minimum value of the six NDTI values over a year (Zheng et al., 2012).
        
BSF (bare soil fraction) is calculated by dividing the number of pixels classified as bare surface within a year's time series (identified by the criterion of NDVI values below 0.35) by the total number of pixels analyzed in that year (Castaldi et al., 2019).
        
NOS (number of seasons) indicates the frequency of cropping cycles within a year, calculated by counting NDVI peaks throughout the year (Li et al., 2014, Liu et al., 2020). 
        
        
As a part of a Data Cube
        
This data represents a subset of the Time-series of Landsat-based Spectral Indices (EU, 30m) data cube. 
        For a comprehensive overview and full dataset information, please visit the landing page of this data cube using the provided link.
        

        
To cite this dataset, refer to the DOI available on the landing page.
        
To access other data layers in the data cube, use the navigation catalog on the landing page as well.
        
        
Support
        
If you discover a bug, artifact, or inconsistency, or if you have a question, please raise a Github Issue!
DOI: 10.5281/zenodo.10777908
title: Landsat-based Spectral Indices for pan-EU 2000-2022 - Annual predictor (2020): BSF, minNDTI, and NOS

description: Data information
        
This dataset provides annual aggregated predictors BSF, minNDTI, and NOS for the year 2020. They are calculated as follows:
        

        
minNDTI (minimum NDTI) is determined as the minimum value of the six NDTI values over a year (Zheng et al., 2012).
        
BSF (bare soil fraction) is calculated by dividing the number of pixels classified as bare surface within a year's time series (identified by the criterion of NDVI values below 0.35) by the total number of pixels analyzed in that year (Castaldi et al., 2019).
        
NOS (number of seasons) indicates the frequency of cropping cycles within a year, calculated by counting NDVI peaks throughout the year (Li et al., 2014, Liu et al., 2020). 
        
        
As a part of a Data Cube
        
This data represents a subset of the Time-series of Landsat-based Spectral Indices (EU, 30m) data cube. 
        For a comprehensive overview and full dataset information, please visit the landing page of this data cube using the provided link.
        

        
To cite this dataset, refer to the DOI available on the landing page.
        
To access other data layers in the data cube, use the navigation catalog on the landing page as well.
        
        
Support
        
If you discover a bug, artifact, or inconsistency, or if you have a question, please raise a Github Issue!