cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15468/dl.kcb4d5
title: Occurrence Download

description: A dataset containing 107 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is China",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "VerbatimScientificName is Rhododendron adenogynum"
 ]
}

 The dataset includes 107 records from 8 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0231062-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.zq2hxe
title: Occurrence Download

description: A dataset containing 160 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Gymnocorymbus ternetzi (Boulenger, 1895)"
 ]
}

 The dataset includes 160 records from 25 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0295304-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.stsa86
title: Occurrence Download

description: A dataset containing 119656 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Plethodon cinereus (Green, 1818)"
 ]
}

 The dataset includes 119656 records from 91 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0287831-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.yxmez6
title: Occurrence Download

description: A dataset containing 12042531 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Cyperaceae"
 ]
}

 The dataset includes 12042531 records from 2434 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0303532-200613084148143/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.20472504.v1
title: Trajectories of seamount larval transport experiments

description: Daily particle trajectories near the Northwest Pacific seamount region calculated by the current field of CMEMS GLORYS12V1. Please contact Xiaohui Liu (xh_liu@sio.org.cn) for detail.
DOI: 10.6084/m9.figshare.20472504
title: Trajectories of seamount larval transport experiments

description: Daily particle trajectories near the Northwest Pacific seamount region calculated by the current field of CMEMS GLORYS12V1. Please contact Xiaohui Liu (xh_liu@sio.org.cn) for detail.
DOI: 10.25901/cd7y-8b85
title: Great Western Woodlands Site, Digital Elevation Model
DOI: 10.34740/kaggle/dsv/5399450
title: NASA Project; Marine Debris Machine Learning
DOI: 10.6084/m9.figshare.21717194
title: Supplementary tables for the paper "Characterization of stratiform chromite deposits in ophiolites and their genetic link to podiform chromitites".

description: These four tables include supplementary tables for the paper "Characterization of stratiform chromite deposits in ophiolites and their genetic link to podiform chromitites", which is authored by Xia Liu, Ben-Xun Su, Yan Xiao, Qi-Qi Pan and Ibrahim Uysal.
DOI: 10.6084/m9.figshare.21717194.v2
title: Supplementary tables for the paper "Characterization of stratiform chromite deposits in ophiolites and their genetic link to podiform chromitites".

description: These four tables include supplementary tables for the paper "Characterization of stratiform chromite deposits in ophiolites and their genetic link to podiform chromitites", which is authored by Xia Liu, Ben-Xun Su, Yan Xiao, Qi-Qi Pan and Ibrahim Uysal.
DOI: 10.6084/m9.figshare.21717194.v1
title: Supplementary tables for the paper "Characterization of stratiform chromite deposits in ophiolites and their genetic link to podiform chromitites".

description: These four tables include supplementary tables for the paper "Characterization of stratiform chromite deposits in ophiolites and their genetic link to podiform chromitites", which is authored by Xia Liu, Ben-Xun Su, Yan Xiao, Qi-Qi Pan and Ibrahim Uysal.
DOI: 10.26188/22631077
title: Experimental and numerical data of thermal response tests executed in groups of energy piles connected in series

description: This data repository is related with the following data paper: <br> BANDEIRA NETO, L., NARSILIO, G., MAKASIS, N., CHOUDHARY, R. & CARDEN, Y. 2023. Experimental and numerical data of thermal response tests executed in groups of energy piles connected in series. Data in Brief, submitted.
DOI: 10.26188/22631077.v1
title: Experimental and numerical data of thermal response tests executed in groups of energy piles connected in series

description: This data repository is related with the following data paper: <br> BANDEIRA NETO, L., NARSILIO, G., MAKASIS, N., CHOUDHARY, R. & CARDEN, Y. 2023. Experimental and numerical data of thermal response tests executed in groups of energy piles connected in series. Data in Brief, submitted.
DOI: 10.6084/m9.figshare.22631104
title: example data for identifying ecological restoration key areas

description: Example data and python script for identifying ecological restoration key areas based on ecosystem service supply and demand.
DOI: 10.6084/m9.figshare.22631104.v1
title: Example_data

description: Example data for identifying ecological restoration key areas based on ecosystem service supply and demand.
DOI: 10.6084/m9.figshare.22631104.v2
title: example data for identifying ecological restoration key areas

description: Example data and python script for identifying ecological restoration key areas based on ecosystem service supply and demand.
DOI: 10.5281/zenodo.7827077
title: DivinerData

description: The collection of ECL, WTH, ETT, Solar, Traffic dataset used as benchmark in our work "Long-term 5G network traffic forecasting via modeling non-stationarity with deep learning"
DOI: 10.5281/zenodo.7827076
title: DivinerData

description: The collection of ECL, WTH, ETT, Solar, Traffic dataset used as benchmark in our work "Long-term 5G network traffic forecasting via modeling non-stationarity with deep learning"
DOI: 10.34740/kaggle/dsv/5398430
title: LAPD Service Calls, 2010 - 2022
DOI: 10.6084/m9.figshare.22631152
title: Comparing participants’ affective experience and cognitive load in a face-to-face laboratory interview room, to a head-mounted device based virtual reality police interview room.

description: This is the raw data for the article: Comparing participants’ affective experience and cognitive load in a face-to-face laboratory interview room, to a head-mounted device based virtual reality police interview room.
DOI: 10.25582/data.2022-04.2481885/1931164
title: Data for EMSL Project 51216 from April 2022
DOI: 10.25582/data.2022-04.2480513/1941452
title: Data for EMSL Project 50407 from April 2022
DOI: 10.5281/zenodo.7827130
title: Cancer Health Disparities drivers with BERTopic Modelling and PyCaret Evaluation - Text data

description: The complex interplay of social, behavioral, lifestyle, environmental, health system, and natural health variables contribute to disparities in cancer treatment across racial and ethnic groups. Consequently, it is necessary to identify the variables contributing to cancer health inequalities and develop strategies to achieve health equality. PubMed abstract on Cancer health disparities was scraped with a bio.Entrez python package. Preprocessed data with regex and Natural tool kit (NLTK), topic modelling with BERTopic embeddings, and c-TF-IDF to construct dense clusters and analyze top topics linked with Cancer health disparities. Model evaluation with PyCaret coherence score and web app deployment with Streamlit. The results showed that Topic 32 with terms obese, female, male, school, survey, student, poet, and discrepancy had the best coherence score of 0.3687. In contrast, topic 8, with terms prevalence, adult, income, high, usage, diabetes, education, elderly, change and low, received the least coherence score of 0.3255. The model classifies each Subject Word score based on the scores, the granular topic concerns and trends related to cancer health disparities, investigates the connection between drivers of cancer health disparities, and evaluates the model with their coherence score values
DOI: 10.5281/zenodo.7827129
title: Cancer Health Disparities drivers with BERTopic Modelling and PyCaret Evaluation - Text data

description: The complex interplay of social, behavioral, lifestyle, environmental, health system, and natural health variables contribute to disparities in cancer treatment across racial and ethnic groups. Consequently, it is necessary to identify the variables contributing to cancer health inequalities and develop strategies to achieve health equality. PubMed abstract on Cancer health disparities was scraped with a bio.Entrez python package. Preprocessed data with regex and Natural tool kit (NLTK), topic modelling with BERTopic embeddings, and c-TF-IDF to construct dense clusters and analyze top topics linked with Cancer health disparities. Model evaluation with PyCaret coherence score and web app deployment with Streamlit. The results showed that Topic 32 with terms obese, female, male, school, survey, student, poet, and discrepancy had the best coherence score of 0.3687. In contrast, topic 8, with terms prevalence, adult, income, high, usage, diabetes, education, elderly, change and low, received the least coherence score of 0.3255. The model classifies each Subject Word score based on the scores, the granular topic concerns and trends related to cancer health disparities, investigates the connection between drivers of cancer health disparities, and evaluates the model with their coherence score values
DOI: 10.6084/m9.figshare.22631224
title: Genotyping of the U2OS cell line

description: This is a genotyping report of the U2OS cell line which has been used in this manuscript JCS260819. After searching the genotypes of the sample in the ATCC STR database, our U2OS cell line showed a 100% match with the previous deposited U2OS cells in the ATCC STR database.
DOI: 10.6084/m9.figshare.22631224.v1
title: Genotyping of the U2OS cell line

description: This is a genotyping report of the U2OS cell line which has been used in this manuscript JCS260819. After searching the genotypes of the sample in the ATCC STR database, our U2OS cell line showed a 100% match with the previous deposited U2OS cells in the ATCC STR database.
DOI: 10.25582/data.2022-04.2481867/1969444
title: Data for EMSL Project 51467 from April 2022
DOI: 10.25582/data.2022-04.2481954/1969445
title: Data for EMSL Project 51467 from April 2022
DOI: 10.25582/data.2022-04.2481908/1969446
title: Data for EMSL Project 51467 from April 2022
DOI: 10.25582/data.2022-04.2481822/1969447
title: Data for EMSL Project 51467 from April 2022
DOI: 10.25582/data.2022-04.2481865/1969448
title: Data for EMSL Project 51467 from April 2022
DOI: 10.25582/data.2022-04.2481775/1969449
title: Data for EMSL Project 51467 from April 2022
DOI: 10.25582/data.2022-04.2481948/1969450
title: Data for EMSL Project 51467 from April 2022
DOI: 10.25582/data.2022-04.2481989/1969451
title: Data for EMSL Project 51467 from April 2022
DOI: 10.25582/data.2022-04.2481784/1969452
title: Data for EMSL Project 51467 from April 2022
DOI: 10.25582/data.2022-04.2481914/1969453
title: Data for EMSL Project 51467 from April 2022
DOI: 10.25582/data.2022-04.2481982/1969454
title: Data for EMSL Project 51467 from April 2022
DOI: 10.25582/data.2022-04.2481827/1969455
title: Data for EMSL Project 51467 from April 2022
DOI: 10.6084/m9.figshare.21823455.v44
title: The ReptileEvolution.com Project

description: Taxon exclusion is the number one problem currently vexing paleontology. The search for pterosaur, turtle, bat, snake, whale, reptile and tetrapod ancestors continues to unnecessarily befuddle paleontologists who continue to work from cherry-picked, textbook and traditional taxon lists that overlook and omit pertinent taxa. That’s why the large reptile tree (LRT), the nearly completely resolved cladogram at the heart of www.ReptileEvolution.com, includes 2212 taxa. Larger taxon numbers minimize taxon exclusion issues. Results indicate the simple act of adding taxa resolves all phylogenetic issues.
DOI: 10.5281/zenodo.5700922
title: Verkehrsperspektiven 2050: Ergebnisse

description: Different results of the Transport Outlook 2050 (Verkehrsperspektiven 2050). Please consult the data description available here as well as on: www.are.admin.ch/verkehrsperspektiven --&gt; Datenbezug. In addition, transport model versions in the transport planning software VISUM were published on Zenodo containing road and public transport volumes on networks. Available are models of the average workday traffic (monday to friday, so called DWV) and for the average daily traffic (monday-sunday, so called DTV - only available for the scneario BASIS). Further scenarios and int-between years can be provided on demand (please contact: verkehrsmodellierung@are.admin.ch).
DOI: 10.5281/zenodo.5702813
title: Verkehrsperspektiven 2050: Ergebnisse

description: Different results of the Transport Outlook 2050 (Verkehrsperspektiven 2050). Please consult the data description available here as well as on: www.are.admin.ch/verkehrsperspektiven --&gt; Datenbezug. In addition, transport model versions in the transport planning software VISUM were published on Zenodo containing road and public transport volumes on networks. Available are models of the average workday traffic (monday to friday, so called DWV) and for the average daily traffic (monday-sunday, so called DTV - only available for the scneario BASIS). Further scenarios and in-between years can be provided on demand (please contact: verkehrsmodellierung@are.admin.ch).
DOI: 10.5281/zenodo.6414758
title: Verkehrsperspektiven 2050: Ergebnisse

description: Different results of the Transport Outlook 2050 (Verkehrsperspektiven 2050). Please consult the data description available here as well as on: www.are.admin.ch/verkehrsperspektiven --&gt; Datenbezug. In addition, transport model versions in the transport planning software VISUM were published on Zenodo containing road and public transport volumes on networks. Available are models of the average workday traffic (monday to friday, so called DWV) and for the average daily traffic (monday-sunday, so called DTV - only available for the scenario BASIS). Further scenarios and in-between years can be provided on demand (please contact: verkehrsmodellierung@are.admin.ch).
DOI: 10.5281/zenodo.6473417
title: Verkehrsperspektiven 2050: Ergebnisse

description: Different results of the Transport Outlook 2050 (Verkehrsperspektiven 2050). Please consult the data description available here as well as on: www.are.admin.ch/verkehrsperspektiven --&gt; Datenbezug. In addition, transport model versions in the transport planning software VISUM were published on Zenodo containing road and public transport volumes on networks. Available are models of the average workday traffic (monday to friday, so called DWV) and for the average daily traffic (monday-sunday, so called DTV - only available for the scenario BASIS). Further scenarios and in-between years can be provided on demand (please contact: verkehrsmodellierung@are.admin.ch).
DOI: 10.5281/zenodo.6475373
title: Verkehrsperspektiven 2050: Ergebnisse

description: Different results of the Transport Outlook 2050 (Verkehrsperspektiven 2050). Please consult the data description available here as well as on: www.are.admin.ch/verkehrsperspektiven --&gt; Datenbezug (File: 0_VP-2050_Datenbezug.pdf). In addition, transport model versions in the transport planning software VISUM were published on Zenodo containing road and public transport volumes on networks. Available are models of the average workday traffic (monday to friday, so called DWV), for the average daily traffic (monday-sunday, so called DTV - only available for the scenario BASIS) and the morning and afternoon peak hours (7-8h, so called MSP, 17-18h, so called ASP - also based on scenario BASIS). Further scenarios, sensitivities and in-between years can be provided on demand (please contact: verkehrsmodellierung@are.admin.ch).
DOI: 10.5281/zenodo.6517164
title: Verkehrsperspektiven 2050: Ergebnisse

description: Different results of the Transport Outlook 2050 (Verkehrsperspektiven 2050). Please consult the data description available here as well as on: www.are.admin.ch/verkehrsperspektiven --&gt; Datenbezug (File: 0_VP-2050_Datenbezug.pdf). In addition, transport model versions in the transport planning software VISUM were published on Zenodo containing road and public transport volumes on networks. Available are models of the average workday traffic (monday to friday, so called DWV), for the average daily traffic (monday-sunday, so called DTV - only available for the scenario BASIS) and the morning and afternoon peak hours (7-8h, so called MSP, 17-18h, so called ASP - also based on scenario BASIS). Further scenarios, sensitivities and in-between years can be provided on demand (please contact: verkehrsmodellierung@are.admin.ch).
DOI: 10.5281/zenodo.5700921
title: Verkehrsperspektiven 2050: Ergebnisse

description: Different results of the Transport Outlook 2050 (Verkehrsperspektiven 2050). Please consult the data description available here as well as on: www.are.admin.ch/verkehrsperspektiven --&gt; Datenbezug (File: 0_VP-2050_Datenbezug.pdf). In addition, transport model versions in the transport planning software VISUM were published on Zenodo containing road and public transport volumes on networks. Available are models of the average workday traffic (monday to friday, so called DWV), for the average daily traffic (monday-sunday, so called DTV - only available for the scenario BASIS) and the morning and afternoon peak hours (7-8h, so called MSP, 17-18h, so called ASP - also based on scenario BASIS). Further scenarios, sensitivities and in-between years can be provided on demand (please contact: verkehrsmodellierung@are.admin.ch).
DOI: 10.5281/zenodo.7827099
title: Verkehrsperspektiven 2050: Ergebnisse

description: Different results of the Transport Outlook 2050 (Verkehrsperspektiven 2050). Please consult the data description available here as well as on: www.are.admin.ch/verkehrsperspektiven --&gt; Datenbezug (File: 0_VP-2050_Datenbezug.pdf). In addition, transport model versions in the transport planning software VISUM were published on Zenodo containing road and public transport volumes on networks. Available are models of the average workday traffic (monday to friday, so called DWV), for the average daily traffic (monday-sunday, so called DTV - only available for the scenario BASIS) and the morning and afternoon peak hours (7-8h, so called MSP, 17-18h, so called ASP - also based on scenario BASIS). Further scenarios, sensitivities and in-between years can be provided on demand (please contact: verkehrsmodellierung@are.admin.ch).
DOI: 10.6084/m9.figshare.22631242
title: Lead exposure levels.xlsx

description: The attachment summarizes the lead exposure levels of environmental media and diets in LMICs and 31 provinces in China.
DOI: 10.6084/m9.figshare.22631137
title: Pathogenesis-adaptive polydopamine nanosystem for sequential therapy of ischemic stroke

description: This is the raw data of the figures in the manuscript and supporting information of "Pathogenesis-adaptive polydopamine nanosystem for sequential therapy of ischemic stroke".
DOI: 10.6084/m9.figshare.22631137.v1
title: Pathogenesis-adaptive polydopamine nanosystem for sequential therapy of ischemic stroke

description: This is the raw data of the figures in the manuscript and supporting information of "Pathogenesis-adaptive polydopamine nanosystem for sequential therapy of ischemic stroke".
DOI: 10.34740/kaggle/dsv/5390322
title: FIMDATA
DOI: 10.5517/ccdc.csd.cc26099v
title: CCDC 2026076: Experimental Crystal Structure Determination

description: Related Article: Daan den Boer, Andrey I. Konovalov, Maxime A. Siegler, Dennis G. H. Hetterscheid|2023|Inorg.Chem.|62|5303|doi:10.1021/acs.inorgchem.3c00477
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.cc2609bw
title: CCDC 2026077: Experimental Crystal Structure Determination

description: Related Article: Daan den Boer, Andrey I. Konovalov, Maxime A. Siegler, Dennis G. H. Hetterscheid|2023|Inorg.Chem.|62|5303|doi:10.1021/acs.inorgchem.3c00477
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.cc2cpfh0
title: CCDC 2195342: Experimental Crystal Structure Determination

description: Related Article: Gagik G. Melikyan, Elen Artashyan, Shannen Guarina, Nicole Babayans, Masis Parunyan, Vahe Darabidian, Anurag Mishra|2023|Organometallics|42|547|doi:10.1021/acs.organomet.2c00422
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.cc2cpfj1
title: CCDC 2195343: Experimental Crystal Structure Determination

description: Related Article: Gagik G. Melikyan, Elen Artashyan, Shannen Guarina, Nicole Babayans, Masis Parunyan, Vahe Darabidian, Anurag Mishra|2023|Organometallics|42|547|doi:10.1021/acs.organomet.2c00422
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.cc2cpfk2
title: CCDC 2195344: Experimental Crystal Structure Determination

description: Related Article: Gagik G. Melikyan, Elen Artashyan, Shannen Guarina, Nicole Babayans, Masis Parunyan, Vahe Darabidian, Anurag Mishra|2023|Organometallics|42|547|doi:10.1021/acs.organomet.2c00422
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.cc2cpfl3
title: CCDC 2195345: Experimental Crystal Structure Determination

description: Related Article: Gagik G. Melikyan, Elen Artashyan, Shannen Guarina, Nicole Babayans, Masis Parunyan, Vahe Darabidian, Anurag Mishra|2023|Organometallics|42|547|doi:10.1021/acs.organomet.2c00422
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.