cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.7537933
title: Renta media por persona y nivel de formación en los 21 distritos del Ayuntamiento de Madrid (2016-20199)

description: Este conjunto de datos ha sido utilizado en el proyecto REFOMAD. Incluye información sobre la renta media por persona, el nivel de formación educativa de los residentes mayores de 25 años y el número de centros educativos en cada uno de los 21 distritos del Ayuntamiento de Madrid durante los años 2016-2019. El nivel de formación tiene 6 niveles: no sabe leer ni escribir, bachiller elemental, formación profesional, titulados medios, estudios universitarios y nivel de estudios no consta. Los centros educativos se clasifican también en 6 niveles: escuelas infantiles municipales, escuelas infantiles públicas de la Comunidad Autónoma de Madrid, escuelas infantiles privadas, colegios públicos infantil/primaria, institutos públicos de educación secundaria y colegios privados infantil/primaria. Los datos de renta fueron proporcionados por el INE, los datos sobre la formación fueron obtenidos mediante encuestas propias realizadas por el equipo REFOMAD y los datos de los centros educativos fueron solicitados al portal de datos abiertos del Ayuntamiento de Madrid. Los datos están en formato XLSX y tienen un tamaño de 109.6 kB. Los datos fueron prepreocesados y curados utilizando herramientas de software libre como NumPy y pandas en Python versión 3.10.6.
DOI: 10.5281/zenodo.7537932
title: Renta media por persona y nivel de formación en los 21 distritos del Ayuntamiento de Madrid (2016-20199)

description: Este conjunto de datos ha sido utilizado en el proyecto REFOMAD. Incluye información sobre la renta media por persona, el nivel de formación educativa de los residentes mayores de 25 años y el número de centros educativos en cada uno de los 21 distritos del Ayuntamiento de Madrid durante los años 2016-2019. El nivel de formación tiene 6 niveles: no sabe leer ni escribir, bachiller elemental, formación profesional, titulados medios, estudios universitarios y nivel de estudios no consta. Los centros educativos se clasifican también en 6 niveles: escuelas infantiles municipales, escuelas infantiles públicas de la Comunidad Autónoma de Madrid, escuelas infantiles privadas, colegios públicos infantil/primaria, institutos públicos de educación secundaria y colegios privados infantil/primaria. Los datos de renta fueron proporcionados por el INE, los datos sobre la formación fueron obtenidos mediante encuestas propias realizadas por el equipo REFOMAD y los datos de los centros educativos fueron solicitados al portal de datos abiertos del Ayuntamiento de Madrid. Los datos están en formato XLSX y tienen un tamaño de 109.6 kB. Los datos fueron prepreocesados y curados utilizando herramientas de software libre como NumPy y pandas en Python versión 3.10.6.
DOI: 10.34740/kaggle/dsv/4852983
title: BBC News
DOI: 10.5281/zenodo.5498083
title: CCG Starter Data Kit: Bolivia

description: A starter data kit for Bolivia
DOI: 10.5281/zenodo.5498084
title: CCG Starter Data Kit: Bolivia

description: A starter data kit for Bolivia
DOI: 10.5281/zenodo.7526325
title: CCG Starter Data Kit: Bolivia

description: A starter data kit for Bolivia
DOI: 10.6084/m9.figshare.21750158
title: Data Collectives

description: Human experimentation data on data sharing decisio conducted at the DeSciL lab at ETH Zurich
DOI: 10.34740/kaggle/dsv/4853018
title: OntoUML/UFO Catalog
DOI: 10.6084/m9.figshare.7806548.v4
title: Agent-based Planning Portfolio

description: This dataset contains a portfolio of different datasets with generated plans for agents that represent multiple options to choose from. The following datasets are included so far:<br>1. Synthetic2. Residential energy consumption3. Bike sharing 4. Charging control of electric vehicles5. Fog computing load-balancing6. Home appliances peak-shaving<br>These portfolio of agent plans has been used to study the collective learning algorithm of EPOS, the Economic Planning and Optimized Selections: http://epos-net.org
DOI: 10.5281/zenodo.4650987
title: CCG Starter Data Kit: Botswana

description: A starter data kit for Botswana
DOI: 10.5281/zenodo.4756747
title: CCG Starter Data Kit: Botswana

description: A starter data kit for Botswana
DOI: 10.5281/zenodo.4650986
title: CCG Starter Data Kit: Botswana

description: A starter data kit for Botswana
DOI: 10.5281/zenodo.5733319
title: CCG Starter Data Kit: Botswana

description: A starter data kit for Botswana
DOI: 10.5281/zenodo.6542291
title: CCG Starter Data Kit: Botswana

description: A starter data kit for Botswana
DOI: 10.5281/zenodo.6631950
title: CCG Starter Data Kit: Botswana

description: A starter data kit for Botswana
DOI: 10.5281/zenodo.7526326
title: CCG Starter Data Kit: Botswana

description: A starter data kit for Botswana
DOI: 10.5281/zenodo.7522024
title: DTM files from wildlife–vehicle collisions using kernel density estimation (KDE)

description: 21 CSV files that contain the Digital Terrain Model (DTM) from wildlife–vehicle collisions (WVC) hotspots using kernel density estimation (KDE) in Spain between 2016 and 2021. Data source of each WVC record is the Spanish General Directorate of Traffic (DGT). The context is the Final Master's Degree Project 'Analysis and Predictive Modelling of Wildlife–Vehicle Collision on Interurban Roads in Spain' (Data Science Master’s Degree of Universitat Oberta de Catalunya - UOC). This dataset is the output of the KDE analysis and the code repository is available on GitHub.
DOI: 10.5281/zenodo.7522023
title: DTM files from wildlife–vehicle collisions using kernel density estimation (KDE)

description: 21 CSV files that contain the Digital Terrain Model (DTM) from wildlife–vehicle collisions (WVC) hotspots using kernel density estimation (KDE) in Spain between 2016 and 2021. Data source of each WVC record is the Spanish General Directorate of Traffic (DGT). The context is the Final Master's Degree Project 'Analysis and Predictive Modelling of Wildlife–Vehicle Collision on Interurban Roads in Spain' (Data Science Master’s Degree of Universitat Oberta de Catalunya - UOC). This dataset is the output of the KDE analysis and the code repository is available on GitHub.
DOI: 10.5281/zenodo.7522758
title: Aragón (Spain) forest map around interurban roads

description: Shapefile that contain the forest map of a 500-meter buffer surrounding interurban roads of Aragón (Spanish autonomous region) with relevant information such as land use. Original data source is the The National Geographic Institute of Spain - IGN. If you are interested in any other Spanish region or the whole country, please do not hesitate to contact me and I will forward it to you. The context is the Final Master's Degree Project 'Analysis and Predictive Modelling of Wildlife–Vehicle Collision on Interurban Roads in Spain' (Data Science Master’s Degree of Universitat Oberta de Catalunya - UOC). This dataset is the output of the land use analysis and the code repository is available on GitHub.
DOI: 10.5281/zenodo.7522757
title: Aragón (Spain) forest map around interurban roads

description: Shapefile that contain the forest map of a 500-meter buffer surrounding interurban roads of Aragón (Spanish autonomous region) with relevant information such as land use. Original data source is the The National Geographic Institute of Spain - IGN. If you are interested in any other Spanish region or the whole country, please do not hesitate to contact me and I will forward it to you. The context is the Final Master's Degree Project 'Analysis and Predictive Modelling of Wildlife–Vehicle Collision on Interurban Roads in Spain' (Data Science Master’s Degree of Universitat Oberta de Catalunya - UOC). This dataset is the output of the land use analysis and the code repository is available on GitHub.
DOI: 10.6084/m9.figshare.21901035
title: Table S1.xls

description: Table S1: The main physicochemical parameters of the lakes Labynkyr and Vorota in the study period
DOI: 10.5281/zenodo.6662740
title: Basic data visualisations for Figshare State of Open Data 2021 survey

description: R markdown files for: Downloading and cleaning data from the State of Open Data survey 2021 Basic visualisations of responses to questions in the State of Open Data survey 2021 HTML file of those visualisations. Free text fields are included in the markdown but have been turned off for knitting and in the HTML file.
description: {"references": ["Research, Nature; Goodey, Greg (2021): State of Open Data Survey 2021 additional resources. figshare. Dataset. https://doi.org/10.6084/m9.figshare.17081231.v1"]}
DOI: 10.5281/zenodo.6662739
title: Basic data visualisations for Figshare State of Open Data 2021 survey

description: R markdown files for: Downloading and cleaning data from the State of Open Data survey 2021 Basic visualisations of responses to questions in the State of Open Data survey 2021 HTML file of those visualisations. Free text fields are included in the markdown but have been turned off for knitting and in the HTML file.
description: {"references": ["Research, Nature; Goodey, Greg (2021): State of Open Data Survey 2021 additional resources. figshare. Dataset. https://doi.org/10.6084/m9.figshare.17081231.v1"]}
DOI: 10.5281/zenodo.4279041
title: Dataset for Automated Medical Transcription

description: We generated this dataset to train a machine learning model for automatically generating psychiatric case notes from doctor-patient conversations. Since, we didn't have access to real doctor-patient conversations, we used transcripts from two different sources to generate audio recordings of enacted conversations between a doctor and a patient. We employed eight students who worked in pairs to generate these recordings. Six of the transcripts that we used to produce this recordings were hand-written by Cheryl Bristow and rest of the transcripts were adapted from Alexander Street which were generated from real doctor-patient conversations. Our study requires recording the doctor and the patient(s) in seperate channels which is the primary reason behind generating our own audio recordings of the conversations. We used Google Cloud Speech-To-Text API to transcribe the enacted recordings. These newly generated transcripts are auto-generated entirely using AI powered automatic speech recognition whereas the source transcripts are either hand-written or fine-tuned by human transcribers (transcripts from Alexander Street). We provided the generated transcripts back to the students and asked them to write case notes. The students worked independently using a software that we developed earlier for this purpose. The students had past experience of writing case notes and we let the students write case notes as they practiced without any training or instructions from us. <strong>NOTE:</strong> Audio recordings are not included in Zenodo due to large file size but they are available in the GitHub repository.
DOI: 10.5281/zenodo.4279040
title: Dataset for Automated Medical Transcription

description: We generated this dataset to train a machine learning model for automatically generating psychiatric case notes from doctor-patient conversations. Since, we didn't have access to real doctor-patient conversations, we used transcripts from two different sources to generate audio recordings of enacted conversations between a doctor and a patient. We employed eight students who worked in pairs to generate these recordings. Six of the transcripts that we used to produce this recordings were hand-written by Cheryl Bristow and rest of the transcripts were adapted from Alexander Street which were generated from real doctor-patient conversations. Our study requires recording the doctor and the patient(s) in seperate channels which is the primary reason behind generating our own audio recordings of the conversations. We used Google Cloud Speech-To-Text API to transcribe the enacted recordings. These newly generated transcripts are auto-generated entirely using AI powered automatic speech recognition whereas the source transcripts are either hand-written or fine-tuned by human transcribers (transcripts from Alexander Street). We provided the generated transcripts back to the students and asked them to write case notes. The students worked independently using a software that we developed earlier for this purpose. The students had past experience of writing case notes and we let the students write case notes as they practiced without any training or instructions from us. <strong>NOTE:</strong> Audio recordings are not included in Zenodo due to large file size but they are available in the GitHub repository.
DOI: 10.5281/zenodo.5498086
title: CCG Starter Data Kit: Brazil

description: A starter data kit for Brazil
DOI: 10.5281/zenodo.5498085
title: CCG Starter Data Kit: Brazil

description: A starter data kit for Brazil
DOI: 10.5281/zenodo.7526327
title: CCG Starter Data Kit: Brazil

description: A starter data kit for Brazil
DOI: 10.25919/xe0s-7633
title: Parkes observations for project PX500 semester 2022APRS_13

description: This proposal relates to time purchased by the Chinese Academy of Sciences for Parkes follow-up confirmation and timing of FAST discoveries. As the observing time has been purchased this proposal (and the related PX501) does not require TAC grading. The primary reason for submitting a proposal is to ensure an outreach statement and that the proposal is entered into OPAL for the data archive to access. The Chinese team have two time requests. The time scheduled for the first, relating to this proposal, will be allocated in blocks of 24 hours and the data will become available in the data archive with an 18 month embargo period. The second type of time will be scheduled in shorter blocks and the data archived with a 10 year embargo.
DOI: 10.5517/ccdc.csd.cc2911p3
title: CCDC 2116174: Experimental Crystal Structure Determination

description: Related Article: Katarzyna Koroniak-Szejn, Katarzyna Salamon-Krokosz, Mateusz Gołdyn, Tomasz Siodła, Elżbieta Bartoszak-Adamska, Henryk Koroniak|2022|Synthesis|54|3785|doi:10.1055/s-0041-1737346
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.cc29lng1
title: CCDC 2133093: Experimental Crystal Structure Determination

description: Related Article: Axel Almansa, Damien Jardel, Stéphane Massip, Thierry Tassaing, Christophe Schatz, Jérémy Domergue, Florian Molton, Carole Duboc, Jean-Marc Vincent|2022|J.Org.Chem.|87|11172|doi:10.1021/acs.joc.2c01467
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.cc2bf4yw
title: CCDC 2157598: Experimental Crystal Structure Determination

description: Related Article: Pinki Sihag, Masilamani Jeganmohan|2022|J.Org.Chem.|87|11073|doi:10.1021/acs.joc.2c01324
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.cc2b68b5
title: CCDC 2150976: Experimental Crystal Structure Determination

description: Related Article: Julie A. Hopkins Leseberg, Wade C. Henke, Justin T. Douglas, Allen G. Oliver, Orson L. Sydora, James D. Blakemore|2022|Organometallics|41|2240|doi:10.1021/acs.organomet.2c00168
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.cc2bxw16
title: CCDC 2172698: Experimental Crystal Structure Determination

description: Related Article: Wataru Setaka, Kazuki Kajiyama, Yusuke Inagaki|2022|J.Org.Chem.|87|10869|doi:10.1021/acs.joc.2c01174
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.cc2bxw27
title: CCDC 2172699: Experimental Crystal Structure Determination

description: Related Article: Wataru Setaka, Kazuki Kajiyama, Yusuke Inagaki|2022|J.Org.Chem.|87|10869|doi:10.1021/acs.joc.2c01174
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.cc2bxw38
title: CCDC 2172700: Experimental Crystal Structure Determination

description: Related Article: Wataru Setaka, Kazuki Kajiyama, Yusuke Inagaki|2022|J.Org.Chem.|87|10869|doi:10.1021/acs.joc.2c01174
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.cc2byzv4
title: CCDC 2173777: Experimental Crystal Structure Determination

description: Related Article: Guillaume Dauvergne, Nicolas Vanthuyne, Michel Giorgi, Jean Rodriguez, Yannick Carissan, Yoann Coquerel|2022|J.Org.Chem.|87|11141|doi:10.1021/acs.joc.2c01394
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.cc2byzw5
title: CCDC 2173778: Experimental Crystal Structure Determination

description: Related Article: Guillaume Dauvergne, Nicolas Vanthuyne, Michel Giorgi, Jean Rodriguez, Yannick Carissan, Yoann Coquerel|2022|J.Org.Chem.|87|11141|doi:10.1021/acs.joc.2c01394
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.cc2c42g2
title: CCDC 2178663: Experimental Crystal Structure Determination

description: Related Article: Tripti Paul, Shubhajit Basak, Tharmalingam Punniyamurthy|2022|Org.Lett.|24|6000|doi:10.1021/acs.orglett.2c02265
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.cc2c7wn5
title: CCDC 2182327: Experimental Crystal Structure Determination

description: Related Article: Binghao Liu, Xiao-Yong Duan, Jiahan Li, Yatong Wu, Yanting Li, Jing Qi|2022|Org.Lett.|24|5929|doi:10.1021/acs.orglett.2c02180
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: 10.6084/m9.figshare.20639568
title: buceros_bicornis_decontaminated_FSCR.fasta.gz

description: ..........
DOI: 10.6084/m9.figshare.20639568.v1
title: buceros_bicornis_decontaminated_FSCR.fasta.gz

description: ..........
DOI: 10.34943/82ddf815-82ce-474b-9627-8c1c0321ca05
title: Conception Bay Hydrophone Deployed 2021-02-14

description: The Ocean Sonics icListen SC2-ETH Hydrophone 2098 was deployed on 2021-02-14 at Conception Bay. Conception Bay is located west of the city St. John's, Newfoundland. This device is a Hydrophone. Hydrophones are devices containing transducers that convert underwater sound waves into electrical signals. They are acoustic instruments that can process data while they are being collected to produce calibrated waveform data. Hydrophones are typically used to study vocalizations of marine mammals, ship traffic and ambient noise. It was deployed on a fixed platform. Data from this deployment were archived and made available through Ocean Networks Canada's Oceans 2.0 digital infrastructure, with quality assurance and derived data products following established practices.
DOI: 10.3886/e140161v1-125880
title: Data and Code for: Checking and Sharing Alt-Facts

description: Using an online randomized experiment in the context of the 2019 European elections campaign in France, we study how fact-checking affects sharing of false news on social media. We exposed a random sample of French voting-age Facebook users to statements on the role of the European Union made by the far-right populist party Rassemblement National. A randomly selected subgroup of participants was also presented with fact-checking of these statements; another subgroup was offered a choice whether to view the fact-checking information. Then, all participants could choose whether to share the false statements on their Facebook pages. We show that (i) both imposed and voluntary fact-checking reduce sharing of false statements by about 45%; (ii) the size of the effect is similar between imposed and voluntary fact-checking; and (iii) each additional click required to share false statements substantially reduces sharing. These results inform the debate about policy proposals aimed at limiting propagation of false news on social media.<br><br>
description: French voting-age Facebook users<br>. Smallest Geographic Unit: France
DOI: 10.6084/m9.figshare.3761562.v2321
title: Online Labour Index: Measuring the Online Gig Economy for Policy and Research

description: Data repository for the data underlying the Online Labour Index. See http://ilabour.oii.ox.ac.uk online-labour-index/ for details.
DOI: 10.25574/12000
title: Chandra X-ray Observatory ObsId 12000

description: Testing the Radio-loud vs Radio-quiet AGN Dichotomy through the Ionized Circumnuclear Gas in 3C 445
DOI: 10.25574/12005
title: Chandra X-ray Observatory ObsId 12005

description: CP Puppis, a template for the secular evolution of novae
DOI: 10.25574/12012
title: Chandra X-ray Observatory ObsId 12012

description: CP Puppis, a template for the secular evolution of novae
DOI: 10.25574/12013
title: Chandra X-ray Observatory ObsId 12013

description: CP Puppis, a template for the secular evolution of novae
DOI: 10.25574/12032
title: Chandra X-ray Observatory ObsId 12032

description: The Nature of the Soft Component in the Symbiotic Star CH Cygni