cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.11590131.v2
title: halide_satls_JSON_format

description: Molten halide salts have been extensively applied in diverse scenarios as heat storage and transfer medium such as solar thermal power plant and thorium based molten salt reactor. Thermophysical properties of molten halide salts closely related to device and system design should be determined accurately covering the entire operating temperature range. In this work, we demonstrate automated generation of thermophysical databases from high-throughput molecular dynamics calculations. A total of 30 halide systems have been simulated and about 3,000 thermophysical properties are obtained in good agreement with experimental values. In addition to thermophysical properties, structural information is also computed for ascertaining evolution law of thermophysical properties of molten halide salts with temperature. The large dataset thus provides support for practical application of molten halide salts.<br>
DOI: 10.6084/m9.figshare.11590131.v4
title: halide_satls_JSON_format

description: Molten halide salts have been extensively applied in diverse scenarios as heat storage and transfer medium such as solar thermal power plant and thorium based molten salt reactor. Thermophysical properties of molten halide salts closely related to device and system design should be determined accurately covering the entire operating temperature range. In this work, we demonstrate automated generation of thermophysical databases from high-throughput molecular dynamics calculations. A total of 30 halide systems have been simulated and about 3,000 thermophysical properties are obtained in good agreement with experimental values. In addition to thermophysical properties, structural information is also computed for ascertaining evolution law of thermophysical properties of molten halide salts with temperature. The large dataset thus provides support for practical application of molten halide salts.<br>
DOI: 10.6084/m9.figshare.11590131.v3
title: halide_satls_JSON_format

description: Molten halide salts have been extensively applied in diverse scenarios as heat storage and transfer medium such as solar thermal power plant and thorium based molten salt reactor. Thermophysical properties of molten halide salts closely related to device and system design should be determined accurately covering the entire operating temperature range. In this work, we demonstrate automated generation of thermophysical databases from high-throughput molecular dynamics calculations. A total of 30 halide systems have been simulated and about 3,000 thermophysical properties are obtained in good agreement with experimental values. In addition to thermophysical properties, structural information is also computed for ascertaining evolution law of thermophysical properties of molten halide salts with temperature. The large dataset thus provides support for practical application of molten halide salts.<br>
DOI: 10.6084/m9.figshare.11589870
title: mol2vec

description: mol2vec.zip- contains compressed mol2vec.csv file- all training set, 10530365 lines- CID, vector (150 dimensions)<br>selected_100000_dataset_mol2vec.csv<br>- selected 100000 molecules- CID, cluster_id, vector (150 dimensions)<br>
DOI: 10.6084/m9.figshare.11589870.v1
title: mol2vec

description: mol2vec.zip- contains compressed mol2vec.csv file- all training set, 10530365 lines- CID, vector (150 dimensions)<br>selected_100000_dataset_mol2vec.csv<br>- selected 100000 molecules- CID, cluster_id, vector (150 dimensions)<br>
DOI: 10.6084/m9.figshare.11589588
title: TableS1-S5.xlsx

description: supplementary data for "Formation of the Yangyuan carbonatites, North China, by melting of limestone in the lower<br>continental crust <br>"
DOI: 10.6084/m9.figshare.11589597
title: training set and test set

description: s3-1_x_training_set.csv- separator: tab<br>- CID, mol_path (skeleton), fragment_cluster, fragment_cluster_smiles<br>s3-2_x_train_mol_sentence.csv- separator: space- fragment_cluster_smiles<br>s3-3_x_test_set.csv- separator: tab<br>- CID, mol_path (skeleton), fragment_cluster, fragment_cluster_smiles<br>s3-4_x_test_mol_sentence.csv- separator: space- fragment_cluster_smiles<br><br><br>
DOI: 10.6084/m9.figshare.11589423
title: frag2count and frag2vec

description: the number of each molecular fragment in all training data-set - s1_frag2count.xlsx<br>the vector of each fragment- frag2vec.csv<br>
DOI: 10.6084/m9.figshare.11589423.v1
title: frag2count and frag2vec

description: the number of each molecular fragment in all training data-set - s1_frag2count.xlsx<br>the vector of each fragment- frag2vec.csv<br>
DOI: 10.6084/m9.figshare.11587491
title: Data Extraction Sheet.xlsx

description: Data extraction sheet containing details relevant to each study included in review article "The effects of terrorism on tourism demand: A systematic review" in <i>Tourism Economics</i>.
DOI: 10.6084/m9.figshare.11587488
title: FLR under Radial IMF

description: This is the data for the paper entitled Probing the Magnetospheric Response to Foreshock Waves using 3-D Global Hybrid Simulations.
DOI: 10.6084/m9.figshare.11587488.v1
title: FLR under Radial IMF

description: This is the data for the paper entitled Probing the Magnetospheric Response to Foreshock Waves using 3-D Global Hybrid Simulations.
DOI: 10.6084/m9.figshare.11587488.v3
title: FLR under Radial IMF

description: This is the data for the paper entitled Probing the Magnetospheric Response to Foreshock Waves using 3-D Global Hybrid Simulations.
DOI: 10.6084/m9.figshare.11587488.v2
title: FLR-under-Radial-IMF

description: This is the data for the paper entitled Probing the Magnetospheric Response to Foreshock Waves using 3-D Global Hybrid Simulations.
DOI: 10.6084/m9.figshare.11586696
title: delta IPSC_Dataset.xlsx

description: Data set for manuscript "<b>δ-subunit containing GABA<sub>A</sub> IPSCs are driven by both synaptic and diffusional GABA in mouse dentate granule neurons"</b><b></b>
DOI: 10.6084/m9.figshare.11586696.v1
title: delta IPSC_Dataset.xlsx

description: Data set for manuscript "<b>δ-subunit containing GABA<sub>A</sub> IPSCs are driven by both synaptic and diffusional GABA in mouse dentate granule neurons"</b><b></b>
DOI: 10.25375/uct.11585511
title: R Code: Spatio-temporal dynamics of riparian woodlands of the Kruger National Park

description: R codes (not cleaned) for primary analyses for MSc project. Note supplemental and linked R codes and datasets can be requested.<br>This code shows methodology running most analyses.
DOI: 10.25375/uct.11585511.v2
title: R Code: Spatio-temporal dynamics of riparian woodlands of the Kruger National Park

description: R codes (not cleaned) for primary analyses for MSc project. Note supplemental and linked R codes and datasets can be requested.<br>This code shows methodology running most analyses.
DOI: 10.25375/uct.11585136
title: Spatial Data: Spatio-temporal dynamics of riparian vegetation in the Kruger National Park

description: GIS data generated from and for project. Includes shapefiles and KML files of sites and buffered areas as well as other GIS data such as rivers of the Kruger National Park.Data includes:- Flow gauge station locations in study area and snapped to nearest river line- Park boundary- 150 m2 grid intersecting the study area buffers- Catchment areas (level 4)- 1 km buffer from rivers in study- 5 km buffer area around gauging stations with camps and rangers residences excluded- Clip of 300 m buffer from river line within 5 km station buffer- River area in each site according to topographic maps- Rivers of Kruger National Park and within intersecting sub-catchments (including outside park)- Vegetation Types (SANBI 2018) within study sites
DOI: 10.25375/uct.11585511.v1
title: Project main R code

description: R codes (not cleaned) for primary analyses for MSc project. Note supplemental and linked R codes and datasets can be requested.<br>This code shows methodology running most analyses.
DOI: 10.25375/uct.11584704
title: Study Site Vegetation Cover

description: Spreadsheet showing tree counts in random plots and overall tree cover proportions for study sites.
DOI: 10.25375/uct.11585136.v1
title: Spatial Data

description: GIS data generated from and for project. Includes shapefiles and KML files of sites and buffered areas as well as other GIS data such as rivers of the KNP.
DOI: 10.25375/uct.11584704.v1
title: Study Site Vegetation Cover

description: Spreadsheet showing tree counts in random plots and overall tree cover proportions for study sites.
DOI: 10.25375/uct.11584635
title: Riparian Sites Data Summary Sheet

description: Summary sheet describing details for study sites selected
DOI: 10.25375/uct.11584635.v1
title: Riparian Sites Data Summary Sheet

description: Summary sheet describing details for study sites selected
DOI: 10.6084/m9.figshare.11578005
title: MOESM2 of Downregulation of MYPT1 increases tumor resistance in ovarian cancer by targeting the Hippo pathway and increasing the stemness

description: Additional file 2. Gene Ontology (GO) analysis of genes whose expression is correlated with that of MYPT1 and gene expression data from Taqman arrays and heatmaps
DOI: 10.6084/m9.figshare.11578005.v1
title: MOESM2 of Downregulation of MYPT1 increases tumor resistance in ovarian cancer by targeting the Hippo pathway and increasing the stemness

description: Additional file 2. Gene Ontology (GO) analysis of genes whose expression is correlated with that of MYPT1 and gene expression data from Taqman arrays and heatmaps
DOI: 10.6084/m9.figshare.11577477
title: SMT-ZL.xlsx

description: In this study, 50 kg N ha<sup>−1</sup> yr<sup>−1 </sup>was applied to the canopy of <i>C. chinensis</i> in a subtropical forest in south China from 2013‒2016. Then, the dynamics of xylem formation were monitored during 2015 and 2016 using microcore sampling.<br>
DOI: 10.6084/m9.figshare.11577435
title: Herpetofauna found at Caño Palma Biological Station, Cerro Mountain and Tortuguero area

description: Caño Palma Biological Station herpetofauna and Cerro Mountain lists revised 2011, Tortuguero area herpetofauna list, revised 2008
DOI: 10.6084/m9.figshare.11577435.v1
title: Herpetofauna found at Caño Palma Biological Station, Cerro Mountain and Tortuguero area

description: Caño Palma Biological Station herpetofauna and Cerro Mountain lists revised 2011, Tortuguero area herpetofauna list, revised 2008
DOI: 10.6084/m9.figshare.11576934
title: 500 most common keywords in SOCH with co-occurring statistics

description: This dataset contains the 500 most common keywords in Swedish Open Cultural Heritage (SOCH) with co-occurring counts in relation to each other. The following metadata fields appear in the dataset:keyword (text), keyword_id, external_keyword_id (the co-occurring keyword), shared_items (co-occurring count)<br><br>The data were computed from SOCH in April 2018. No corrections were made to the keywords. The keyword were however extracted from the SOCH Solr index and therefore differ from the keywords in the original source.<br>
DOI: 10.6084/m9.figshare.11576934.v1
title: 500 most common keywords in SOCH with co-occurring statistics

description: This dataset contains the 500 most common keywords in Swedish Open Cultural Heritage (SOCH) with co-occurring counts in relation to each other. The following metadata fields appear in the dataset:keyword (text), keyword_id, external_keyword_id (the co-occurring keyword), shared_items (co-occurring count)<br><br>The data were computed from SOCH in April 2018. No corrections were made to the keywords. The keyword were however extracted from the SOCH Solr index and therefore differ from the keywords in the original source.<br>
DOI: 10.6084/m9.figshare.11576793
title: Fornvännen articles 1906-2017

description: This dataset consists of a CSV file listing the articles published in the academic journal Fornvännen (Journal of Swedish Antiquarian Research) together with associated metadata. The following metadata fields appear in the dataset:<br>URI, title, year of publication, author, fulltext pdf URL, keywords<br><br>The data were extracted from Swedish Open Cultural Heritage (SOCH) in November 2019. Following the extraction the data has been processed to improve its technical quality. Titels for articles published 2013 to 2017 has also been added as these are missing from SOCH. All URLs found in this dataset has been saved to the Internet Archives Wayback Machine.
DOI: 10.6084/m9.figshare.11576715
title: Input data for "Transformative Urban Changes of Beijing in the Decade of the 2000s"

description: The DSM_QSCAT_data for Beijing, representing annual infrastructure-based urban observations at a posting of ~1 km, are obtained by applying the Dense Sampling Method [https://doi.org/10.1007/978-0-387-36699-9] to Level L1B Ku-Band QuikSCAT satellite data [https://podaac.jpl.nasa.gov/dataset/QSCAT_LEVEL_1B_V2] which were continuously collected between July 19<sup>th</sup>, 1999 and November 22<sup>nd</sup>, 2009 by the SeaWinds scatterometer.<br>The GOME_SCI_data for Beijing, representing tropospheric NO<sup>2</sup> column densities averaged annually and posted approximately 14 km, are derived from GOME [http://dx.doi.org/10.1175/1520-0469(1999)056&lt;0151:TGOMEG&gt;2.0.CO;2] and SCIAMACHY [http://dx.doi.org/10.1175/1520-0469(1999)056&lt;0127:SMOAMM&gt;2.0.CO;2] satellite observations acquired between 2000–2002 and 2003–2009 [https://doi.org/10.1038/nature040927l], respectively.<br>Figure S1 allows to visually compare annual DSM-based urban area extents against the corresponding intercalibrated stable night light data [https://doi.org/10.1109/TGRS.2016.2572724] for each year in the 2000s.
DOI: 10.6084/m9.figshare.11576715.v1
title: Input data for "Transformative Changes of Beijing in the Decade of the 2000s"

description: The DSM_QSCAT_data for Beijing, representing annual infrastructure-based urban observations at a posting of ~1 km, are obtained by applying the Dense Sampling Method [https://doi.org/10.1007/978-0-387-36699-9] to Level L1B Ku-Band QuikSCAT satellite data [https://podaac.jpl.nasa.gov/dataset/QSCAT_LEVEL_1B_V2] which were continuously collected between July 19th, 1999 and November 22nd, 2009 by the SeaWinds scatterometer.<br>The GOME_SCI_data for Beijing, representing tropospheric NO2 column densities averaged annually and posted approximately 14 km, are derived from GOME [http://dx.doi.org/10.1175/1520-0469(1999)056&lt;0151:TGOMEG&gt;2.0.CO;2] and SCIAMACHY [http://dx.doi.org/10.1175/1520-0469(1999)056&lt;0127:SMOAMM&gt;2.0.CO;2] satellite observations acquired between 2000–2002 and 2003–2009 [https://doi.org/10.1038/nature040927l], respectively.
DOI: 10.6084/m9.figshare.11576715.v3
title: Input data for "Transformative Urban Changes of Beijing in the Decade of the 2000s"

description: The DSM_QSCAT_data for Beijing, representing annual infrastructure-based urban observations at a posting of ~1 km, are obtained by applying the Dense Sampling Method [https://doi.org/10.1007/978-0-387-36699-9] to Level L1B Ku-Band QuikSCAT satellite data [https://podaac.jpl.nasa.gov/dataset/QSCAT_LEVEL_1B_V2] which were continuously collected between July 19<sup>th</sup>, 1999 and November 22<sup>nd</sup>, 2009 by the SeaWinds scatterometer.<br>The GOME_SCI_data for Beijing, representing tropospheric NO<sup>2</sup> column densities averaged annually and posted approximately 14 km, are derived from GOME [http://dx.doi.org/10.1175/1520-0469(1999)056&lt;0151:TGOMEG&gt;2.0.CO;2] and SCIAMACHY [http://dx.doi.org/10.1175/1520-0469(1999)056&lt;0127:SMOAMM&gt;2.0.CO;2] satellite observations acquired between 2000–2002 and 2003–2009 [https://doi.org/10.1038/nature040927l], respectively.<br>Figure S1 allows to visually compare annual DSM-based urban area extents against the corresponding intercalibrated stable night light data [https://doi.org/10.1109/TGRS.2016.2572724] for each year in the 2000s.
DOI: 10.6084/m9.figshare.11576715.v2
title: Input data for "Transformative Changes of Beijing in the Decade of the 2000s"

description: The DSM_QSCAT_data for Beijing, representing annual infrastructure-based urban observations at a posting of ~1 km, are obtained by applying the Dense Sampling Method [https://doi.org/10.1007/978-0-387-36699-9] to Level L1B Ku-Band QuikSCAT satellite data [https://podaac.jpl.nasa.gov/dataset/QSCAT_LEVEL_1B_V2] which were continuously collected between July 19<sup>th</sup>, 1999 and November 22<sup>nd</sup>, 2009 by the SeaWinds scatterometer.<br>The GOME_SCI_data for Beijing, representing tropospheric NO<sup>2</sup> column densities averaged annually and posted approximately 14 km, are derived from GOME [http://dx.doi.org/10.1175/1520-0469(1999)056&lt;0151:TGOMEG&gt;2.0.CO;2] and SCIAMACHY [http://dx.doi.org/10.1175/1520-0469(1999)056&lt;0127:SMOAMM&gt;2.0.CO;2] satellite observations acquired between 2000–2002 and 2003–2009 [https://doi.org/10.1038/nature040927l], respectively.<br>Figure S1 allows to visually compare annual DSM-based urban area extents against the corresponding intercalibrated stable night light data [https://doi.org/10.1109/TGRS.2016.2572724] for each year in the 2000s.
DOI: 10.6084/m9.figshare.11576511
title: db_data.zip

description: A conflation test dataset of real road networks covering six test sites in Santa Barbara, CA, U.S.A and a set of concentric test areas near the LAX international airport. Each dataset contains two road data tables from TIGER/Line (TGR) and the Open Street Map (OSM), respectively, as well as the ground truth matches between them. Each dataset covers the same geographic extent.<br>
DOI: 10.6084/m9.figshare.11576508
title: Sequence Assembly and Base composition

description: Sequence Assembly and Base composition of <i>Trichiosoma vitellina.</i>
DOI: 10.6084/m9.figshare.11576511.v1
title: db_data.zip

description: A conflation test dataset of real road networks covering six test sites in Santa Barbara, CA, U.S.A and a set of concentric test areas near the LAX international airport. Each dataset contains two road data tables from TIGER/Line (TGR) and the Open Street Map (OSM), respectively, as well as the ground truth matches between them. Each dataset covers the same geographic extent.<br>
DOI: 10.6084/m9.figshare.11576508.v1
title: Sequence Assembly and Base composition

description: Sequence Assembly and Base composition of <i>Trichiosoma vitellina.</i>
DOI: 10.6084/m9.figshare.11576502
title: Tree data_IQ+Bayes

description: 165_Bayes partition165_Bayes_result<br>165_IQ partition<br>165_IQ_result<br>
DOI: 10.6084/m9.figshare.11576502.v1
title: Tree data_IQ+Bayes

description: 165_Bayes partition165_Bayes_result<br>165_IQ partition<br>165_IQ_result<br>
DOI: 10.6084/m9.figshare.11576493
title: Data Matrix_39_9PCGs+2rrna

description: 39taxa 9PCGs and 2rrnaaligned with transXConcatenate with Phylosuie
DOI: 10.6084/m9.figshare.11576493.v1
title: Data Matrix_39_9PCGs+2rrna

description: 39taxa 9PCGs and 2rrnaaligned with transXConcatenate with Phylosuie
DOI: 10.6084/m9.figshare.11576496
title: Bankit

description: sqnBiosample tableSRA table
DOI: 10.6084/m9.figshare.11576496.v2
title: Bankit

description: sqnBiosample tableSRA table
DOI: 10.6084/m9.figshare.11576496.v1
title: Bankit

description: sqnBiosample tableSRA table
DOI: 10.6084/m9.figshare.11576385
title: How do Energy Productivity and Water Resources Affect Air Pollution in Iran? New Evidence From a Markov Switching Perspective

description: <b>Abstract</b> Countries vary significantly in the measures they have taken to address climate change issues in the effort to mitigate the challenges posed by them. Understanding the causal relationships among the variables involved and their effect on other sectors like energy, the economy, and water supply will aid in the planning and implementation of appropriate strategies to prevent a further deterioration in the situation. This study explores the causality relationships between water resources, energy productivity, and air pollution in Iran from 1971 to 2014 using the Markov switching vector autoregressive models based on two scenarios. In the first, a Granger-causality analysis has been carried out to examine the indirect unidirectional relationship between energy productivity and water resources at different time scale. In a second it then investigated the direct unidirectional Granger causality relationship between energy productivity, water resources and air pollution. Furthermore, presence of an indirect Granger causality is surveyed for air pollution and water resources. Results also revealed a few practical recommendations to mitigate the harmful effects of pollution.
DOI: 10.6084/m9.figshare.11576379
title: Data for "Accurate observation of the methane concentration in deep-sea high-temperature hydrothermal vent fluids up to 302°C"

description: in situ Raman spectra data collected from mid-Okinawa Trough hydrothermal field using RiP system
DOI: 10.6084/m9.figshare.11576379.v1
title: Data for "Accurate observation of the methane concentration in deep-sea high-temperature hydrothermal vent fluids up to 302°C"

description: in situ Raman spectra data collected from mid-Okinawa Trough hydrothermal field using RiP system
DOI: 10.6084/m9.figshare.11576376
title: Saturation

description: AA_satuationPCGs_satuation
DOI: 10.6084/m9.figshare.11576376.v1
title: Saturation

description: AA_satuationPCGs_satuation
DOI: 10.6084/m9.figshare.11576106
title: Fenner Freeman data.xlsx

description: Figure data in excel format
DOI: 10.6084/m9.figshare.11576106.v1
title: Fenner Freeman data.xlsx

description: Figure data in excel format
DOI: 10.6084/m9.figshare.11576040
title: Comparing Maintainability Index, SIG Method, and SQALE for Technical Debt Identification

description: <b>Comparing Maintainability Index, SIG Method, and SQALE for Technical Debt Identification</b><br>This repository contains the mined datasets, raw data analysis, graphical outputs, and source code used for the research about <i>comparing Maintainability Index, SIG Method, and SQALE for Technical Debt Identification</i>.<br>+ exp-results.zip: contains mined data, raw analysis and results, plus diagrams;(note V1 contains 17 projects, V2 was updated to 20 projects)<br>+ source-code.zip: contains the Python source code used for mining data, computing metrics, and performing the analysis;<br>
DOI: 10.6084/m9.figshare.11576040.v2
title: Comparing Maintainability Index, SIG Method, and SQALE for Technical Debt Identification

description: <b>Comparing Maintainability Index, SIG Method, and SQALE for Technical Debt Identification</b><br>This repository contains the mined datasets, raw data analysis, graphical outputs, and source code used for the research about <i>comparing Maintainability Index, SIG Method, and SQALE for Technical Debt Identification</i>.<br>+ exp-results.zip: contains mined data, raw analysis and results, plus diagrams;(note V1 contains 17 projects, V2 was updated to 20 projects)<br>+ source-code.zip: contains the Python source code used for mining data, computing metrics, and performing the analysis;<br>
DOI: 10.6084/m9.figshare.11576040.v1
title: Comparing Maintainability Index, SIG Method, and SQALE for Technical Debt Identification

description: <b>Comparing Maintainability Index, SIG Method, and SQALE for Technical Debt Identification</b><br>This repository contains the mined datasets, raw data analysis, graphical outputs, and source code used for the research about <i>comparing Maintainability Index, SIG Method, and SQALE for Technical Debt Identification</i>.<br>+ exp-results.zip: contains mined data, raw analysis and results, plus diagrams;+ source-code.zip: contains the Python source code used for mining data, computing metrics, and performing the analysis;<br>
DOI: 10.6084/m9.figshare.11575071
title: Biomarkers.xlsx

description: Data
DOI: 10.6084/m9.figshare.11575071.v2
title: Biomarkers.xlsx

description: Data
DOI: 10.6084/m9.figshare.11575071.v1
title: Inflammatory_biomarkers.xlsx

description: Inflammatory_data