cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5517/ccdc.csd.cc2cyj84
title: CCDC 2203116: Experimental Crystal Structure Determination

description: Related Article: Jia Nuo Leung, Han Vinh Huynh|2022|Inorg.Chem.|62|295|doi:10.1021/acs.inorgchem.2c03387
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.cc2cyj95
title: CCDC 2203117: Experimental Crystal Structure Determination

description: Related Article: Jia Nuo Leung, Han Vinh Huynh|2022|Inorg.Chem.|62|295|doi:10.1021/acs.inorgchem.2c03387
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.cc2cyjb6
title: CCDC 2203118: Experimental Crystal Structure Determination

description: Related Article: Jia Nuo Leung, Han Vinh Huynh|2022|Inorg.Chem.|62|295|doi:10.1021/acs.inorgchem.2c03387
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.cc2czlb9
title: CCDC 2204141: Experimental Crystal Structure Determination

description: Related Article: Laura C. Straub, Matthias Adlung, Claudia Wickleder, Mathias S. Wickleder, Bertold Rasche|2022|Inorg.Chem.|62|497|doi:10.1021/acs.inorgchem.2c03647
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.cc2czlcb
title: CCDC 2204142: Experimental Crystal Structure Determination

description: Related Article: Laura C. Straub, Matthias Adlung, Claudia Wickleder, Mathias S. Wickleder, Bertold Rasche|2022|Inorg.Chem.|62|497|doi:10.1021/acs.inorgchem.2c03647
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.cc2czlfd
title: CCDC 2204144: Experimental Crystal Structure Determination

description: Related Article: Laura C. Straub, Matthias Adlung, Claudia Wickleder, Mathias S. Wickleder, Bertold Rasche|2022|Inorg.Chem.|62|497|doi:10.1021/acs.inorgchem.2c03647
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.cc2czlgf
title: CCDC 2204145: Experimental Crystal Structure Determination

description: Related Article: Laura C. Straub, Matthias Adlung, Claudia Wickleder, Mathias S. Wickleder, Bertold Rasche|2022|Inorg.Chem.|62|497|doi:10.1021/acs.inorgchem.2c03647
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.cc2czlhg
title: CCDC 2204146: Experimental Crystal Structure Determination

description: Related Article: Laura C. Straub, Matthias Adlung, Claudia Wickleder, Mathias S. Wickleder, Bertold Rasche|2022|Inorg.Chem.|62|497|doi:10.1021/acs.inorgchem.2c03647
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.cc2d0s4c
title: CCDC 2205282: Experimental Crystal Structure Determination

description: Related Article: Vasiliy G. Shtamburg, Evgeniy A. Klots, Victor V. Shtamburg, Andrey A. Anishchenko, Svitlana V. Shishkina, Alexander V. Mazepa|2023|J.Mol.Struct.|1277|134865|doi:10.1016/j.molstruc.2022.134865
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.cc2d0s5d
title: CCDC 2205283: Experimental Crystal Structure Determination

description: Related Article: Vasiliy G. Shtamburg, Evgeniy A. Klots, Victor V. Shtamburg, Andrey A. Anishchenko, Svitlana V. Shishkina, Alexander V. Mazepa|2023|J.Mol.Struct.|1277|134865|doi:10.1016/j.molstruc.2022.134865
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.cc2czldc
title: CCDC 2204143: Experimental Crystal Structure Determination

description: Related Article: Laura C. Straub, Matthias Adlung, Claudia Wickleder, Mathias S. Wickleder, Bertold Rasche|2022|Inorg.Chem.|62|497|doi:10.1021/acs.inorgchem.2c03647
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.cc2dcmq4
title: CCDC 2215716: Experimental Crystal Structure Determination

description: Related Article: Laura C. Straub, Matthias Adlung, Claudia Wickleder, Mathias S. Wickleder, Bertold Rasche|2022|Inorg.Chem.|62|497|doi:10.1021/acs.inorgchem.2c03647
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: 10.5281/zenodo.7516690
title: CHIKVnext: Molecular epidemiology of Chikungunya virus

description: CHIKVnext is an interactive resource to study the evolution and global spread of Chikungunya virus (CHIKV), built on the Nextstrain platform.
description: {"references": ["Dynamic Molecular Epidemiology Reveals Lineage-Associated Single-Nucleotide Variants That Alter RNA Structure in Chikungunya Virus Thomas Spicher, Markus Delitz, Adriano de Bernardi Schneider, and Michael T. Wolfinger Genes, 12(2):239, Feb 2021. DOI:10.3390/genes12020239 PMCID:PMC7914560", "Updated Phylogeny of Chikungunya Virus Suggests Lineage-Specific RNA Architecture Adriano de Bernardi Schneider, Roman Ochsenreiter, Reilly Hostager, Ivo L. Hofacker, Daniel Janies, and Michael T. Wolfinger Viruses, 11:798, Aug 2019. DOI:10.3390/v11090798 PMCID:PMC6784101"]}
DOI: 10.5281/zenodo.7516689
title: CHIKVnext: Molecular epidemiology of Chikungunya virus

description: CHIKVnext is an interactive resource to study the evolution and global spread of Chikungunya virus (CHIKV), built on the Nextstrain platform.
description: {"references": ["Dynamic Molecular Epidemiology Reveals Lineage-Associated Single-Nucleotide Variants That Alter RNA Structure in Chikungunya Virus Thomas Spicher, Markus Delitz, Adriano de Bernardi Schneider, and Michael T. Wolfinger Genes, 12(2):239, Feb 2021. DOI:10.3390/genes12020239 PMCID:PMC7914560", "Updated Phylogeny of Chikungunya Virus Suggests Lineage-Specific RNA Architecture Adriano de Bernardi Schneider, Roman Ochsenreiter, Reilly Hostager, Ivo L. Hofacker, Daniel Janies, and Michael T. Wolfinger Viruses, 11:798, Aug 2019. DOI:10.3390/v11090798 PMCID:PMC6784101"]}
DOI: 10.15131/shef.data.21806280
title: Extended Magnetic Paper corpus

description: This document contains the extended corpus of magnetic papers used in the "Feasibility study to assess Natural Language Processing for Functional Magnetic Materials" project funded by Royce Materials 4.0. It provides the paper title and DOI within the document.
DOI: 10.15131/shef.data.21806280.v1
title: Extended Magnetic Paper corpus

description: This document contains the extended corpus of magnetic papers used in the "Feasibility study to assess Natural Language Processing for Functional Magnetic Materials" project funded by Royce Materials 4.0. It provides the paper title and DOI within the document.
DOI: 10.15131/shef.data.21806262
title: MatSciBERT software results when applied to a magnetic paper corpus

description: This document contains the analyse of the results when MatSciBERT software was applied to the magnetic paper corpus, as part of the "Feasibility study to assess Natural Language Processing for Functional Magnetic Materials" project funded by ROyce Materials 4.0. As MatSciBERT gives a label to every word with the abstract, this means that the output for the data is not as simple as the other two data sets. Rather the raw data output is 100’s of lines long. Thus the raw data output for the first corpus is found here: here The analysed data is given in the document, along with the highlighted expected results and a comment on how well the software worked.
DOI: 10.15131/shef.data.21806262.v1
title: MatSciBERT software results when applied to a magnetic paper corpus

description: This document contains the analyse of the results when MatSciBERT software was applied to the magnetic paper corpus, as part of the "Feasibility study to assess Natural Language Processing for Functional Magnetic Materials" project funded by ROyce Materials 4.0. As MatSciBERT gives a label to every word with the abstract, this means that the output for the data is not as simple as the other two data sets. Rather the raw data output is 100’s of lines long. Thus the raw data output for the first corpus is found here: here The analysed data is given in the document, along with the highlighted expected results and a comment on how well the software worked.
DOI: 10.15131/shef.data.21806250
title: Regular Expression in combination with heuristics method results

description: This document contains the results of the Regular Expression in combination with heuristics method developed during the " Feasibility study to assess Natural Language Processing for Functional Magnetic Materials" project when applied to a set of magnetic papers. The expected results are highlighted in the text, with the software results underneath, and a comment on the side on how well the model worked.
DOI: 10.15131/shef.data.21806250.v1
title: Regular Expression in combination with heuristics method results

description: This document contains the results of the Regular Expression in combination with heuristics method developed during the " Feasibility study to assess Natural Language Processing for Functional Magnetic Materials" project when applied to a set of magnetic papers. The expected results are highlighted in the text, with the software results underneath, and a comment on the side on how well the model worked.
DOI: 10.15131/shef.data.21806229
title: Chemdataextractor results

description: This document contains the results of the Chemdataextractor on the corpus, when the software was adapted for magnetic properties. The results are part of the "Feasibility study to assess Natural Language Processing for Functional Magnetic Materials" project funded by Royce Materials 4.0.Note, we have highlighted in the text, the expected results for the NLP software, and then after the text, is the output from chemdataextractor, with each search term it found highlighted. Along with a note on how successful it was.
DOI: 10.15131/shef.data.21806229.v1
title: Chemdataextractor results

description: This document contains the results of the Chemdataextractor on the corpus, when the software was adapted for magnetic properties. The results are part of the "Feasibility study to assess Natural Language Processing for Functional Magnetic Materials" project funded by Royce Materials 4.0.Note, we have highlighted in the text, the expected results for the NLP software, and then after the text, is the output from chemdataextractor, with each search term it found highlighted. Along with a note on how successful it was.
DOI: 10.15131/shef.data.21806217
title: Magnetic Papers Corpus

description: This document contains the list of abstracts used to test the NLP software for the initial tests for the Royce pilot project " Feasibility study to assess Natural Language Processing for Functional Magnetic Materials"
DOI: 10.15131/shef.data.21806217.v1
title: Magnetic Papers Corpus

description: This document contains the list of abstracts used to test the NLP software for the initial tests for the Royce pilot project " Feasibility study to assess Natural Language Processing for Functional Magnetic Materials"
DOI: 10.34740/kaggle/dsv/4832965
title: AutoXGB
DOI: 10.34740/kaggle/dsv/4832958
title: Health Workforce Shortage Areas
DOI: 10.23729/ff4769af-0951-4d76-823b-53b77ad2cb18
title: Finnish Snow Survey monitoring digitized field data
title: Suomen Lumilinjojen digitoidut kenttämittaukset

description: The dataset presents a full measurement record for selected long-standing snow surveys in Finland from the start of record until 2019. The dataset expands the snow survey dataset by SYKE by including point-wise measurement data for each snow survey. Full description on ongoing snow survey network The dataset is comprised of two datafiles, snow survey list, and measurement instruction file describing the variables. The dataset was digitized by SYKE, in collaboration with the University of Oulu in Maa- ja Vesitekniikan Tuki Ry funded project "HydArk - forgotten gems of hydrological archives". The dataset and descriptions are in Finnish.
description: Aineisto kattaa kenttämittaukset kokonaisuudessaan valituilta pitkä-aikaisilta lumilinjoilta Suomessa mittausten alusta vuoteen 2019. Aineisto laajentaa SYKE:n palveluissaan julkaisemaa lumilinja-aineistoa sisältämällä pistekohtaisen mittausaineiston jokaiselta mittauskerralta. Aineisto koostuu kahdesta datatiedostosta, lumilinjojen listasta, ja mittausohjeesta jossa kuvataan datan muuttujat. Aineiston digitoitiin SYKE:n toimesta, yhteistyössä Oulun Yliopiston kanssa Maa-, ja Vesitekniikan Tuki Ry:n rahoittamassa hankkeessa "HydArk - Arkistojen unohdetut hydrologiset aarteet".
DOI: 10.5281/zenodo.7120785
title: A Predictive Coding Approach to Modelling Perceived Drum Pattern Complexity

description: Commented <em>R</em> script and matrices to carry out drum pattern complexity prediction.
DOI: 10.5281/zenodo.7520032
title: A Predictive Coding Approach to Modelling Perceived Drum Pattern Complexity

description: Commented <em>R</em> script and matrices to carry out drum pattern complexity prediction.
DOI: 10.5281/zenodo.7516407
title: Transferability of data-driven models to predict urban pluvial flood water depth in Berlin, Germany

description: The attached files include the predictive features and the water depth from 2D hydrodynamic simulations that were used to train data driven models to predict water depth in Berlin.
DOI: 10.34740/kaggle/dsv/4833027
title: Elon Musk Tweets
DOI: 10.3886/e135781v1
title: Data and Code for: "Asymmetric Attention"

description: These files contain the programs and data for the article: "Asymmetric Attention", American Economic Review.
description: Professional forecasters, firms, and households in the US and EA.
DOI: 10.3886/e138701v1
title: Data and Code for: “The Challenges of Universal Health Insurance in Developing Countries: Experimental Evidence from Indonesia’s National Health Insurance”

description: To investigate barriers to universal health insurance in developing countries, we designed a randomized experiment involving about 6,000 households in Indonesia who are subject to a government health insurance program with a weakly enforced mandate. Time-limited subsidies increased enrollment and attracted lower-cost enrollees, in part by reducing the strategic timing of enrollment to correspond with health needs. Registration assistance also increased enrollment, but increased attempted enrollment much more, as over half of households who attempted to enroll did not successfully do so. These findings underscore how weak administrative capacity can create important challenges in developing countries for achieving widespread coverage.
description: Non-poor informal households without health insurance.
DOI: 10.5281/zenodo.6965396
title: ReZZan

description: The source code and experimental scripts of ReZZan.
DOI: 10.5291/ill-data.crg-2708
title: Investigation of magnetic ground state of two perovskite-based compounds which show strong exchange bias below the magnetic transition
DOI: 10.5676/dwd/esa_cloud_cci/avhrr-am/v002
title: ESA Cloud_cci cloud property datasets retrieved from passive satellite sensors: AVHRR-AM L3C/L3U cloud products - Version 2.0
DOI: 10.6084/m9.figshare.12310841.v1
title: Dataset.xls

description: Reference list
DOI: 10.17632/gm49fmx86t.5
title: Dataset from the University of Rwanda College of Education during teaching and Learning Quantum Physics

description: This dataset comprises four MS Excel files of students' achievements, attitudes, and classroom practices in quantum physics course at the University of Rwanda College of Education (UR-CE). Achievement and conceptual understanding data were collected using fortified standard Quantum Physics Conceptual Survey (QPCS), with researchers four blackbody radiation questions, 24 original QPCS, and four questions from Quantum Mechanics Conceptual Survey (QMCS) related to the total energy of a particle and the probability of finding a particle. Attitude data were collected using researchers' own created Quantum Physics Attitude Test (QPAT), while classroom observation was done with a standard Classroom Observation Protocol for Undergraduate STEM (COPUS). Some data were collected during the baseline study done on one group of students who have learnt quantum physics course from 21/08/2019 to 20/11/2019. While other data were collected from two groups of students. The control group was taught by lecture method, and the experimental group was taught using multimedia-aided approach. These data were collected from 28/01/2022 to 01/04/2022.
DOI: 10.5281/zenodo.3450690
title: Dataset: User side acquisition of People-Centric Sensing in the Internet-of-Things

description: - This archive contains the files submitted to the 2nd International<br> Workshop on Data: Acquisition To Analysis (DATA) at SenSys. Files<br> provided in this package are associated with the paper titled<br> "Dataset: User side acquisition of People-Centric Sensing in the<br> Internet-of-Things" - Content of the package: + 1_beacon_table.pkl: The beacon table in Pickle format. It contains<br> 20612286 data points where each data point represents a Bluetooth<br> beacon with 15 attributes as follows: &lt;_id, host_id, ble_address,<br> sound_avg_peak, sound_max_peak, sound_count_over_thres_per_frame,<br> sound_avg_all, sound_avg_over_thres, temperature, humidity,<br> pressure, eco2_ppm, tvoc_ppb, rssi, timestamp&gt;. + 2_device_description_table.pkl: The device description table<br> provides the mapping between a device's Bluetooth address and its<br> physical identity (device_id, description, type). + 3_checkin_table.pkl: The check-in table provides a timeseries of<br> user interactions with three Android tablets (i.e. tuples of &lt;time,<br> host_id, checkpoint device&gt;). + 4_sample_beacon_table.pkl: The sample beacon table in Pickle<br> format. It contains 1000 data points where each data point<br> represents a Bluetooth beacon with 15 attributes as follows: &lt;_id,<br> host_id, ble_address, sound_avg_peak, sound_max_peak,<br> sound_count_over_thres_per_frame, sound_avg_all,<br> sound_avg_over_thres, temperature, humidity, pressure, eco2_ppm,<br> tvoc_ppb, rssi, timestamp&gt;. + 5_sample_device_description_table.pkl: The sample device description<br> table provides the mapping between a device's Bluetooth address and<br> its physical identity (device_id, description, type). + 6_sample_checkin_table.pkl: The check-in table provides a<br> timeseries of user interactions with three Android tablets<br> (i.e. tuples of &lt;time, host_id, checkpoint device&gt;). + print_table_heads.py: A Python script which fetches Pickle tables<br> as DataFrames and prints out the sample entries. <br> - ACM Reference Format: Chenguang Liu, Jie Hua, Tomasz Kalbarczyk,<br> Sangsu Lee, and Christine Julien. 2019. Dataset: User side<br> acquisition of People-Centric Sensing in the Internet-of-Things. In<br> The 2nd Workshop on Data Acquisition To Analysis(DATA’19), November<br> 10, 2019, New York, NY, USA. ACM, New York, NY, USA, 3 pages.<br> https://doi.org/10.1145/3359427.3361914
description: Appears in the Proceedings of the 2nd Workshop on Data Acquisition To Analysis (DATA '19)
DOI: 10.5281/zenodo.3694401
title: A dataset of Bot Commits

description: This dataset contains information about 13,762,430 commits by 461 bots, each of whom have created more than 1000 commits, that have committed code in Git. <br> The data is stored in a gzipped csv file (";" as the separator) with the following format in each line: "author_id"; "commit-sha"; "time-of-the-commit"; "timezone"; "files-modified-by-the-commit"; "projects-the-commit-is-associated-with"; "commit-message". In the case of having multiple projects and/or files for a given commit, they are separated by ','. <br> These bots were detected using the BIMAN bot detection approach using the World of Code(http://worldofcode.org/) dataset. For details of the approach, see the corresponding paper in MSR 2020. <br> If you're using this data for your research, please don't forget to cite it!!!
DOI: 10.5281/zenodo.7447
title: Ergebnisse Der Umfrage Zum Umgang Mit Digitalen Forschungsdaten An Der Humboldt-Universität Zu Berlin, Vergleich Der Antworten Zwischen Teilnehmergruppen "Professor(In)" Und "Wissenschaftliche(R) Mitarbeiter(In)"

description: Dieses Tabellendokument stellt einen Vergleich der Umfrageergebnisse zum Umgang mit digitalen Forschungsdaten an der Humboldt-Universität zu Berlin zwischen Teilnehmergruppen "Professor(in)" und "wissenschaftliche(r) Mitarbeiter(in)" dar.
DOI: 10.5281/zenodo.4629306
title: TuLeD: Tupían lexical database

description: TuLeD: Tupían lexical database
DOI: 10.18141/1432659
title: Experimental Characterization of Marcellus Shale Outcrop Samples, and their Interactions with Carbon Dioxide and Methane

description: Carbon Storage TRS