cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.21776444
title: POCI N-Triples dataset of the provenance information of all the citation data

description: This dataset contains the provenance information (in N-Triples format) of all the citation data included in POCI, released on 27 December 2022. In particular, any citation in the dataset includes the following provenance information: <strong>[citation IRI]</strong> the Open Citation Identifier (OCI) for the citation, defined in the final part of the URL identifying the citation (https://w3id.org/oc/index/coci/ci/[OCI]);; <strong>[property "prov:wasAttributedTo"]</strong> the IRI of the agent that have created the citation data; <strong>[property "prov:hadPrimarySource"]</strong> the IRI of the source dataset from where the citation data have been extracted; <strong>[property "prov:generatedAtTime"]</strong> the creation time of the citation data. <strong>[propert "prov:invalidatedAtTime"]</strong> the start of the destruction, cessation, or expiry of an existing entity by an activity. <strong>[property "oco:hasUpdateQuery"]</strong> the UPDATE SPARQL query that keeps track of which metadata have been modified. The size of the zipped archive is 32 GB, while the size of the unzipped N-Triples file is 731 GB.Additional information about POCI at official webpage.
DOI: 10.6084/m9.figshare.21776444.v1
title: POCI N-Triples dataset of the provenance information of all the citation data

description: This dataset contains the provenance information (in N-Triples format) of all the citation data included in POCI, released on 27 December 2022. In particular, any citation in the dataset includes the following provenance information: <strong>[citation IRI]</strong> the Open Citation Identifier (OCI) for the citation, defined in the final part of the URL identifying the citation (https://w3id.org/oc/index/coci/ci/[OCI]);; <strong>[property "prov:wasAttributedTo"]</strong> the IRI of the agent that have created the citation data; <strong>[property "prov:hadPrimarySource"]</strong> the IRI of the source dataset from where the citation data have been extracted; <strong>[property "prov:generatedAtTime"]</strong> the creation time of the citation data. <strong>[propert "prov:invalidatedAtTime"]</strong> the start of the destruction, cessation, or expiry of an existing entity by an activity. <strong>[property "oco:hasUpdateQuery"]</strong> the UPDATE SPARQL query that keeps track of which metadata have been modified. The size of the zipped archive is 32 GB, while the size of the unzipped N-Triples file is 731 GB.Additional information about POCI at official webpage.
DOI: 10.6084/m9.figshare.21776456
title: POCI CSV dataset of the provenance information of all the citation data

description: This dataset contains the provenance information (in CSV format) of all the citation data included in POCI, released on 27 December 2022. In particular, each line of the CSV file defines a citation, and includes the following information: <strong>[field "oci"]</strong> the Open Citation Identifier (OCI) for the citation; <strong>[field "snapshot"]</strong> the identifier of the snapshot; <strong>[field "agent"]</strong> the name of the agent that have created the citation data; <strong>[field "source"]</strong> the URL of the source dataset from where the citation data have been extracted; <strong>[field "created"]</strong> the creation time of the citation data. <strong>[field "invalidated"]</strong> the start of the destruction, cessation, or expiry of an existing entity by an activity; <strong>[field "description"]</strong> a textual description of the activity made; <strong>[field "update"]</strong> the UPDATE SPARQL query that keeps track of which metadata have been modified. The size of the zipped archive is 5 GB, while the size of the unzipped CSV file is 122 GB.Additional information about POCI at official webpage.
DOI: 10.25934/pr00005037.3
title: Available IPD datapackage for study 'A Multi-centre, Randomised, Double-blind, Parallel Active-controlled Study Evaluating the Efficacy, Safety and Tolerability of Bupropion Hydrochloride Extended-release (Bupropion XL 300mg Once Daily), Escitalopram Oxalate (Escitalopram, 10mg-20mg Once Daily) in Subjects With Major Depressive Disorder'

description: This multi-centre study will follow a randomised, double-blind, parallel-group, active-controlled design and will evaluate the efficacy, safety and tolerability of bupropion extended-release (XL) (300 mg/day) compared with escitalopram (10-20 mg/day) in outpatients and inpatients with major depressive disorder (MDD). The total duration of the study will be 11 weeks consisting of three phases. The screening phase (phase I) will be lasting for 0-14 days, subjects will be randomised to bupropion XL or escitalopram in a 1:1 ratio for acute phase treatment phase (phase II) for 8 weeks. There are 3 dose levels during this acute treatment phase. The 3-dose level plan is designed to ensure each drug is titrated according to the prescribing information and to reach an optimal clinical dose. Finally patients will enter the taper phase (phase III) for up to 1 week to assess and reduce the possible withdrawal symptoms. In China almost all existing antidepressants are available on the market, but bupropion XL has not yet been approved. This Phase III clinical trial will be used for the purpose of registering bupropion XL in China.
DOI: 10.5281/zenodo.7486182
title: Persian Speech to Test dataset

description: The Persian Speech to Text dataset is a collection of audio files and their corresponding transcripts, provided in CSV file format. The dataset is intended for use in training machine learning models for the task of transcribing audio files in the Persian language into text. The dataset includes 60GB of data, consisting of audio files in the WAV format and their transcripts. Each CSV file corresponds to a single ZIP or RAR file, and the name of each CSV file is the same as the corresponding ZIP or RAR file. The CSV files contain the following columns: wav_filename: The name of the WAV file within the ZIP or RAR file. wav_filesize: The size of each audio file. transcript: The text transcription of the audio file. confidence_level: A measure of the accuracy of the transcription. This dataset is the largest open source dataset of its kind, and it is a valuable resource for researchers and developers working on natural language processing tasks involving the Persian language. The open source nature of the dataset means that it is freely available to be used and modified by anyone, making it an important resource for advancing research and development in the field.
DOI: 10.5281/zenodo.7486153
title: Persian Speech to Test dataset

description: The Persian Speech to Text dataset is a collection of audio files and their corresponding transcripts, provided in CSV file format. The dataset is intended for use in training machine learning models for the task of transcribing audio files in the Persian language into text. The dataset includes 60GB of data, consisting of audio files in the WAV format and their transcripts. Each CSV file corresponds to a single ZIP or RAR file, and the name of each CSV file is the same as the corresponding ZIP or RAR file. The CSV files contain the following columns: wav_filename: The name of the WAV file within the ZIP or RAR file. wav_filesize: The size of each audio file. transcript: The text transcription of the audio file. confidence_level: A measure of the accuracy of the transcription. This dataset is the largest open source dataset of its kind, and it is a valuable resource for researchers and developers working on natural language processing tasks involving the Persian language. The open source nature of the dataset means that it is freely available to be used and modified by anyone, making it an important resource for advancing research and development in the field.
DOI: 10.5281/zenodo.7327153
title: Dataset: Energy services' access deprivation in Mexico: A geographic, climatic and social perspective

description: This dataset contains all the information at the municipal level from the publication "Energy services' access deprivation in Mexico: A geographic, climatic and social perspective" published in Energy Policy (DOI: 10.1016/j.enpol.2022.112822). The information contains key categorizations on energy services access at the municipal level in Mexico, classified per climatic zone. It is complemented with key information on population and households at the municipal level. The raw data sources used to produce this secondary data are listed below. A detailed methodological description is available in the primary article (DOI: 10.1016/j.enpol.2022.112822) and the article "Dataset of household energy services access and socioeconomic variables in Mexico" to be published in Data in Brief. Raw data: 2015 Intercensal Survey: https://www.inegi.org.mx/programas/intercensal/2015/ Poverty Index by Municipality in Mexico 2015: https://www.coneval.org.mx/Medicion/Paginas/PobrezaInicio.aspx Raster Map of Climates: https://www.inegi.org.mx/temas/climatologia/#Mapa The dataset's geographic scope is as follows: City/Town/Region: All municipalities Country: Mexico
DOI: 10.5281/zenodo.6103035
title: Dataset: Energy services' access deprivation in Mexico: A geographic, climatic and social perspective

description: This dataset contains all the information at the municipal level from the publication "Energy services' access deprivation in Mexico: A geographic, climatic and social perspective" published in Energy Policy (DOI: 10.1016/j.enpol.2022.112822). The information contains key categorizations on energy services access at the municipal level in Mexico, classified per climatic zone. It is complemented with key information on population and households at the municipal level. The raw data sources used to produce this secondary data are listed below. A detailed methodological description is available in the primary article (DOI: 10.1016/j.enpol.2022.112822) and the article "Dataset of household energy services access and socioeconomic variables in Mexico" to be published in Data in Brief. Raw data: 2015 Intercensal Survey: https://www.inegi.org.mx/programas/intercensal/2015/ Poverty Index by Municipality in Mexico 2015: https://www.coneval.org.mx/Medicion/Paginas/PobrezaInicio.aspx Raster Map of Climates: https://www.inegi.org.mx/temas/climatologia/#Mapa The dataset's geographic scope is as follows: City/Town/Region: All municipalities Country: Mexico
DOI: 10.25934/pr00000135.0
title: Available IPD datapackage for study 'An 8-Week, Randomized, Double-Blind, Placebo-Controlled, Multicenter, Fixed-Dose Study Comparing the Efficacy and Safety of GW597599B or Paroxetine to Placebo in Moderately to Severely Depressed Patients With Major Depressive Disorder'

description: A Placebo Controlled Study Evaluating Efficacy And Safety of Medication In Patients With Major Depressive Disorder (MDD)
DOI: 10.6084/m9.figshare.21781772
title: Mapping between rHMMs and NCBI

description: The table provides a mapping between the rHMMs used in the study and the NCBI database. Specifically, the first row shows the rHMM name (reprseqXXXXXX) and the second name shows the NCBI genome accession, ORF's coordinates and the strand on which it was predicted.
DOI: 10.6084/m9.figshare.21781772.v1
title: Mapping between rHMMs and NCBI

description: The table provides a mapping between the rHMMs used in the study and the NCBI database. Specifically, the first row shows the rHMM name (reprseqXXXXXX) and the second name shows the NCBI genome accession, ORF's coordinates and the strand on which it was predicted.
DOI: 10.26188/21699500.v1
title: Mechanistic forecasts of species responses to climate change: the promise of biophysical ecology - data files

description: <strong>Data supporting the publication: </strong>Briscoe, N.J., Morris, S.D., Mathewson, P.D., Buckley, L.B., Jusup, M., Levy, O., Maclean, I.M.D., Pincebourde, S., Riddell, E.A., Roberts, J.A., Schouten, R., Sears, M.W. and Kearney, M.R. (2022), Mechanistic forecasts of species responses to climate change: the promise of biophysical ecology. <em>Glob Change Biol.</em> https://doi.org/10.1111/gcb.16557 <br> Datafiles included & brief description (see README file for additional information) 1. <em>Biophysical_model_lit_review_complete_final.csv</em> Data on biophysical modelling studies included in the review, includes publication details, year, Class (ectotherm, endotherm, both) and whether climate change was considered (Yes, No) as well as details of the software used. Includes data used to generate Figure 3a. <br> 2. <em>Biophysical_model_lit_review_raw_search_results.csv</em> Raw results from literature search identifying potential biophysical modelling studies. These were screened to identify publications to include in the final review set (1). <br> <em>3. Lizard_snake_traits_data_search_results.csv</em> Results from literature searches using terms relating to different types of functional trait data for lizards and snakes: thermal physiology, hydric physiology, morphology, metabolism and thermoregulatory behaviour. Includes data used to generate Figure 3b. <br> 4. <em>Literature_search.R</em> Code to generate Figure 3. <br> <em>5. feral_cat_microclimate_data_Fig1.csv</em> Feral cat microclimate data used to generate Figure 1b. Includes hourly observed and predicted temperatures for several locations (sun-surface, shade-surface, burrow). <br> <em>6. feral_cat_predicted_water_costs_Fig1</em> Feral cat predicted evaporative water loss data used to generate Figure 1c. Includes predicted daily evaporative water loss for feral cats in several locations (sun-surface, shade-surface, burrow). <br> *Additional information on how feral cat micrclimate and water costs data were generated can be found in Briscoe, N. J., McGregor, H., Roshier, D., Carter, A., Wintle, B. A., & Kearney, M. R. (2022). Too hot to hunt: Mechanistic predictions of thermal refuge from cat predation risk. <em>Conservation Letters</em>, 15, e12906.
DOI: 10.26188/21699500
title: Mechanistic forecasts of species responses to climate change: the promise of biophysical ecology - data files

description: <strong>Data supporting the publication: </strong>Briscoe, N.J., Morris, S.D., Mathewson, P.D., Buckley, L.B., Jusup, M., Levy, O., Maclean, I.M.D., Pincebourde, S., Riddell, E.A., Roberts, J.A., Schouten, R., Sears, M.W. and Kearney, M.R. (2022), Mechanistic forecasts of species responses to climate change: the promise of biophysical ecology. <em>Glob Change Biol.</em> https://doi.org/10.1111/gcb.16557 <br> Datafiles included & brief description (see README file for additional information) 1. <em>Biophysical_model_lit_review_complete_final.csv</em> Data on biophysical modelling studies included in the review, includes publication details, year, Class (ectotherm, endotherm, both) and whether climate change was considered (Yes, No) as well as details of the software used. Includes data used to generate Figure 3a. <br> 2. <em>Biophysical_model_lit_review_raw_search_results.csv</em> Raw results from literature search identifying potential biophysical modelling studies. These were screened to identify publications to include in the final review set (1). <br> <em>3. Lizard_snake_traits_data_search_results.csv</em> Results from literature searches using terms relating to different types of functional trait data for lizards and snakes: thermal physiology, hydric physiology, morphology, metabolism and thermoregulatory behaviour. Includes data used to generate Figure 3b. <br> 4. <em>Literature_search.R</em> Code to generate Figure 3. <br> <em>5. feral_cat_microclimate_data_Fig1.csv</em> Feral cat microclimate data used to generate Figure 1b. Includes hourly observed and predicted temperatures for several locations (sun-surface, shade-surface, burrow). <br> <em>6. feral_cat_predicted_water_costs_Fig1</em> Feral cat predicted evaporative water loss data used to generate Figure 1c. Includes predicted daily evaporative water loss for feral cats in several locations (sun-surface, shade-surface, burrow). <br> *Additional information on how feral cat micrclimate and water costs data were generated can be found in Briscoe, N. J., McGregor, H., Roshier, D., Carter, A., Wintle, B. A., & Kearney, M. R. (2022). Too hot to hunt: Mechanistic predictions of thermal refuge from cat predation risk. <em>Conservation Letters</em>, 15, e12906.
DOI: 10.6084/m9.figshare.21776372
title: POCI Scholix dataset of all the citation data

description: This dataset contains all the citation data (in Scholix format) included in POCI, released on 27 December 2022. This version of the dataset contains: 717,654,703 citations; 26,024,862 bibliographic resources. The size of the zipped archive is 11.8 GB, while the size of the unzipped Scholix file is 608 GB. Additional information about POCI at official webpage.
DOI: 10.6084/m9.figshare.21776372.v1
title: POCI Scholix dataset of all the citation data

description: This dataset contains all the citation data (in Scholix format) included in POCI, released on 27 December 2022. This version of the dataset contains: 717,654,703 citations; 26,024,862 bibliographic resources. The size of the zipped archive is 11.8 GB, while the size of the unzipped Scholix file is 608 GB. Additional information about POCI at official webpage.
DOI: 10.5281/zenodo.7258693
title: The MET-Pottery–Dataset

description: The dataset was compiled within the SNSF project No 100011_156205 ‘Mobilities, Entanglements and Transformations in Neolithic Societies of the Swiss Plateau (3900-3500 BC)’, short ‘MET-project’, conducted at the Institute of Archaeological Sciences, University of Bern between 2014 and 2018 (https://data.snf.ch/grants/grant/156205; https://boris.unibe.ch/77649/). It represents the largest and temporally most highly resolved collection of morphological pottery data of the Central European Neolithic. It offers data of 1046 ceramic vessels of different styles that originate out of 44 archaeological features of wetland and dryland sites of the northern Alpine Space and adjacent regions. Most of the archaeological contexts – anthropogenic layers of settlements, pits, and ditches – are typology-independent dated using dendrochronology or C14-dates. The data set includes a spreadsheet of nominal and numeric morphological variables, the collection of the vessels’ semi-profile silhouettes and the typological drawings from which all data was collected. In the scope of the MET-project ‘the data was used to elaborate a new mixed method research (MMR) methodology to investigate social relations beyond problematic concepts of homogeneous ‘archaeological cultures’. It is highly relevant for further methodological morphology-based research on pottery.
DOI: 10.6084/m9.figshare.21781703.v1
title: Young Hoon Soong & Eun Sung Chung Monthly potential evapotranspiration dataset based on CMIP6 GCM (MRI-ESM2-0-Future period)

description: Regridding Global CMIP6 GCMs datasets(0.5 degree) case of MRI-ESM2-0 <br> Composition of datasets: Average temperature, Maximum temperature, Minimum temperature, Windspeed, Relative humidity, Solar radiation <br> SSP scenarios: SSP1-2.6; SSP2-4.5; SSP3-7.0; SSP5-8.5
DOI: 10.6084/m9.figshare.19221693
title: uces.zip

description: UCEs used for the vertebrate phylogeny in the mutation rate analysis.
DOI: 10.5281/zenodo.7408670
title: The MET-Pottery–Master Report

description: The 'MET-Pottery–Master Report' is part of the PhD thesis submitted by C. Heitz at the University of Bern in 2018 and was coded by M. Hinz. The associated dataset was compiled within the SNSF project No 100011_156205 ‘Mobilities, Entanglements and Transformations in Neolithic Societies of the Swiss Plateau (3900-3500 BC)’, short ‘MET-project’, conducted at the Institute of Archaeological Sciences, University of Bern between 2014 and 2018 (https://data.snf.ch/grants/grant/156205; https://boris.unibe.ch/77649/). It represents the largest and temporally most highly resolved collection of morphological pottery data of the Central European Neolithic. It offers data of 1046 ceramic vessels of different styles that originate out of 44 archaeological features of wetland and dryland sites of the northern Alpine Space and adjacent regions. Most of the archaeological contexts – anthropogenic layers of settlements, pits, and ditches – are typology-independent dated using dendrochronology or C14-dates. The data set includes a spreadsheet of nominal and numeric morphological variables, the collection of the vessels’ semi-profile silhouettes and the typological drawings from which all data was collected. In the scope of the MET-project ‘the data was used to elaborate a new mixed method research (MMR) methodology to investigate social relations beyond problematic concepts of homogeneous ‘archaeological cultures’. It is highly relevant for further methodological morphology-based research on pottery.
DOI: 10.5281/zenodo.7457466
title: Resultados descritivos Tese de Doutoramento

description: Este arquivo contén os resultados descritivos da tese realizada por Antía Cores Torres.
DOI: 10.5281/zenodo.7457465
title: Resultados descritivos Tese de Doutoramento

description: Este arquivo contén os resultados descritivos da tese realizada por Antía Cores Torres.
DOI: 10.5281/zenodo.6303309
title: Structural Defects Improve the Memristive Characteristics of Epitaxial La0.8Sr0.2MnO3-based Devices

description: Data files (.txt) of the data presented in the publication 10.1002/admi.202200498 File names are referred to as the reference of the Figure and number in the main manuscript, followed by the sample (LSM/STO or LSM/LAO) and keywords of the figure. Each file corresponds only to the data of one sample. Regarding the series in a Figure, in the case there is very little data, the series are in a single file, arranged in columns. Otherwise, the series with large amounts of data have been split into single files named according to the series (legend). All the files include two headers (Name and Units) for each column. The files containing data from multiple series contain an extra header to precise the data series.
DOI: 10.5281/zenodo.6303308
title: Structural Defects Improve the Memristive Characteristics of Epitaxial La0.8Sr0.2MnO3-based Devices

description: Data files (.txt) of the data presented in the publication 10.1002/admi.202200498 File names are referred to as the reference of the Figure and number in the main manuscript, followed by the sample (LSM/STO or LSM/LAO) and keywords of the figure. Each file corresponds only to the data of one sample. Regarding the series in a Figure, in the case there is very little data, the series are in a single file, arranged in columns. Otherwise, the series with large amounts of data have been split into single files named according to the series (legend). All the files include two headers (Name and Units) for each column. The files containing data from multiple series contain an extra header to precise the data series.