cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.7425488
title: JuVer Contract Corpus

description: This corpus consists of 2110 PDF Files and 2110 XML files with the text extracted from the PDF files. All PDF files are contracts in German publically available on the internet. Most of these contracts are from the city governments of Hamburg and Bremen and were collected from the websites http://suche.transparenz.hamburg.de/dataset?q=vertrag&esq_title=&check_all_ and https://www.transparenz.bremen.de. In the XML files the texts are segmented into sentences. Each sentence also has some additional information on the freuency of use in the corpus. The root of each XML file is the element <em>document</em>, that has a referece to the original PDF in an attribute. A document is divided into pages. Pages then consists of the elements <em>heading </em>and <em>sentence</em>. Each sentence has two identifiers, sid for the sentece and cid for the cluster it belongs to. Sentenecs with the same sentence identifier are identical. Sentences with the same cluster identifier are very similar but not necessarily identical. Sentences were clustered with single link clustering based on trigram (character) overlap. The corpus consists of 106,539 (non-unique) sentences and 3,635,371 tokens, including interpunction.
description: Funded by Volkswagen Stiftung. (https://portal.volkswagenstiftung.de/search/projectPDF.do?projectId=9322)
description: {"references": ["JOSI, Frieda; WARTENA, Christian; HEID, Ulrich. Preparing Legal Documents for NLP Analysis: Improving the Classification of Text Elements by Using Page Features. In: Computer Science & Information Technology (CS & IT). AIRCC Publishing Corporation, 2022. p. 17-29. https://doi.org/10.5121/csit.2022.120102", "JOSI, Frieda; WARTENA, Christian; HEID, Ulrich. Generalisierung von formelhaften Textbestandteilen in juristischen Korpora: Einsatz-und Entwicklungspotential. In: Jusletter IT-Tagungsband IRIS 2022. weblaw. ch, 2022. p. 325-336. https://doi.org/10.38023/82f7a587-e1e9-49b3-8f1f-21fd97d93b19", "JOSI, Frieda; WARTENA, Christian; HEID, Ulrich. Representing Standard Text Formulations as Directed Graphs. In: International Conference on Document Analysis and Recognition. Springer, Cham, 2021. p. 475-487. https://doi.org/10.1007/978-3-030-86159-9_34"]}
DOI: 10.6084/m9.figshare.21708071
title: Effects of PFBS concentration and litter type on soil parameters.xlsx

description: Full name of five types of organic material: <em>Medicago lupulina</em> leaves (ML), <em>Plantago lanceolata</em> leaves (PL), commercial hemp stem (HS, REAL NATURE, Item no.: 1,259,176, Krefeld, Germany), wheat straw (MultiFit, Item no.: 1,008,159, Krefeld, Germany) and fine green tea (Meßmer Tee GmbH, Seevetal, Germany). Full name of enzyme: β-1,4-N-acetyl-glucosaminidase (acetyl), β-D-1,4-cellobiosidase (cello), β-glucosidase (gluco) and phosphatase (pho) Res refers to soil respiration.
DOI: 10.6084/m9.figshare.21623676
title: Balbina_project_Piresetal.zip

description: Data and code for the analyses in Pires et al 2022 - Current Biology
DOI: 10.6084/m9.figshare.21623676.v2
title: Balbina_project_Piresetal.zip

description: Data and code for the analyses in Pires et al 2022 - Current Biology
DOI: 10.6084/m9.figshare.21623676.v1
title: Balbina_project_Piresetal.zip

description: Data and code for the analyses in Pires et al 2022 - Current Biology
DOI: 10.6084/m9.figshare.3426251
title: site-frequency spectra used in doi: 10.1101/2022.08.18.504427

description: SNP variant counts by mutation rate, described in "Recurrent mutation in the ancestry of a rare variant" by John Wakeley, Wai-Tong (Louis) Fan, Evan Koch and Shamil Sunyaev (preprint available at https://doi.org/10.1101/2022.08.18.504427) and generated using the Roulette method in "A mutation rate model at the basepair resolution identifies the mutagenic effect of Polymerase III transcription" by Seplyarskiy et al (preprint available at https://doi.org/10.1101/2022.08.20.504670). "mu" is the mutation rate inferred using Roulette, and "n" is the number of sites with variant count "AC_nfe" in gnomAD v2.1.1 data for ~57K non-Finnish European samples.
DOI: 10.5517/ccdc.csd.cc2czc7z
title: CCDC 2203921: Experimental Crystal Structure Determination

description: Related Article: Sirisuk Keereewan, Chutima Kuhakarn, Pawaret Leowanawat, Saowanit Saithong, Vichai Reutrakul, Darunee Soorukram|2022|J.Org.Chem.|87|15963|doi:10.1021/acs.joc.2c02098
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.cc2czc80
title: CCDC 2203922: Experimental Crystal Structure Determination

description: Related Article: Sirisuk Keereewan, Chutima Kuhakarn, Pawaret Leowanawat, Saowanit Saithong, Vichai Reutrakul, Darunee Soorukram|2022|J.Org.Chem.|87|15963|doi:10.1021/acs.joc.2c02098
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.cc2db4lh
title: CCDC 2214286: Experimental Crystal Structure Determination

description: Related Article: Hui-Peng Lv, Wei-Qiang Liao, Yu-Meng You, Ren-Gen Xiong|2022|J.Am.Chem.Soc.|144|22325|doi:10.1021/jacs.2c11213
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.21708104
title: Landscape Data Commons public data

description: The publically available datasets from the Landscape Data Commons. This includes vegetation cover and structure, species occurence, and soils data where available.
DOI: 10.6084/m9.figshare.21708104.v1
title: Landscape Data Commons public data

description: The publically available datasets from the Landscape Data Commons. This includes vegetation cover and structure, species occurence, and soils data where available.
DOI: 10.5281/zenodo.7406829
title: Simulated HPLC–DAD datasets saved as MOCCA campaigns

description: Supplemental data for the publication: <strong>Open-Source Chromatographic Data Analysis for Reaction Optimization and Screening, </strong>submitted by the authors to<strong> </strong><em>ACS Central Science December 2022.</em> The data set contains simulated HPLC–DAD datasets saved as MOCCA campaigns, which were used for validation and benchmarking. The files are saved as Python Pickle Files. The zip file contains all the simulated HPLC data one-step all-files download.
DOI: 10.5281/zenodo.7406828
title: Simulated HPLC–DAD datasets saved as MOCCA campaigns

description: Supplemental data for the publication: <strong>Open-Source Chromatographic Data Analysis for Reaction Optimization and Screening, </strong>submitted by the authors to<strong> </strong><em>ACS Central Science December 2022.</em> The data set contains simulated HPLC–DAD datasets saved as MOCCA campaigns, which were used for validation and benchmarking. The files are saved as Python Pickle Files. The zip file contains all the simulated HPLC data one-step all-files download.
DOI: 10.5519/qd.gin8x84r
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (5403269 records)
DOI: 10.6084/m9.figshare.20153618
title: The microbial community spatially varies during a Microcystis bloom event in Lake Kinneret

description: Supplementary data for "The microbial community spatially varies during a Microcystis bloom event in Lake Kinneret": <br> Table S1 - Samples metadata Table S2 - Taxonomic identification and abundance of Microcystis genotypes Table S3 - PERMANOVA results for the Microcystis population Table S4 - Taxonomic identification and abundance of the bacterial ASVs (16s rRNA gene counts) Table S5 - PERMANOVA results for the non-Microcystis bcaterial populations Table S6 - Alpha diversity indices Table S7 - LEfSe results Tables S8-S9 - Constrained correspondence analysis (CCA) of Particle-associated and Free-livinf bacteria
DOI: 10.6084/m9.figshare.20153618.v3
title: The microbial community spatially varies during a Microcystis bloom event in Lake Kinneret

description: Supplementary data for "The microbial community spatially varies during a Microcystis bloom event in Lake Kinneret": <br> Table S1 - Samples metadata Table S2 - Taxonomic identification and abundance of Microcystis genotypes Table S3 - PERMANOVA results for the Microcystis population Table S4 - Taxonomic identification and abundance of the bacterial ASVs (16s rRNA gene counts) Table S5 - PERMANOVA results for the non-Microcystis bcaterial populations Table S6 - Alpha diversity indices Table S7 - LEfSe results Tables S8-S9 - Constrained correspondence analysis (CCA) of Particle-associated and Free-livinf bacteria
DOI: 10.6084/m9.figshare.20153618.v2
title: The microbial community spatially varies during a Microcystis bloom event in Lake Kinneret

description: Supplementary data for "The microbial community spatially varies during a Microcystis bloom event in Lake Kinneret": <br> Table S1 - Samples metadata Table S2 - Taxonomic identification and abundance of Microcystis genotypes Table S3 - PERMANOVA results for the Microcystis population Table S4 - Taxonomic identification and abundance of the bacterial ASVs (16s rRNA gene counts) Table S5 - PERMANOVA results for the non-Microcystis bcaterial populations Table S6 - Alpha diversity indices Table S7 - LEfSe results Tables S8-S9 - Constrained correspondence analysis (CCA) of Particle-associated and Free-livinf bacteria
DOI: 10.26186/147542
title: Severe Wind Hazard Assessment for Queensland - Tropical Cyclone Scenarios

description: The Severe Wind Hazard Assessment for Queensland arose as a project to better understand the potential impacts of tropical cyclones (TCs) on population centres and elements of critical infrastructure in Queensland. The rationale for the project was reinforced by lessons from Severe Tropical Cyclone (STC) Debbie, the direct and indirect impacts of which affected a significant area of Queensland, stretching from Bowen to the City of Gold Coast and Northern New South Wales between 28 March and 7 April 2017, resulting in 14 mostly flood associated deaths, and more than A$3.5 billion in direct losses. The intent of the project is to explore and assess a range of scenarios that extend beyond the contemporary recollection of severe events in order to challenge decision making for rarer but higher-consequence events. The scenarios described in the report can be used to improve planning for severe tropical cyclone (TC) events and their impacts. This includes developing a better understanding of how the capabilities of emergency services and supporting elements may be impacted in actual events. <br>Scenarios were selected from the catalogue of synthetic events (i.e. events that did not actually occur but whose occurrence was as probable as those that did occur) generated for the 2018 Tropical Cyclone Hazard Assessment (TCHA; Arthur, 2018), in consultation with Queensland Fire and Emergency Services (QFES) and those local governments involved within the project. Two TC events were modelled for each location for this project – a Category 3 and a Category 5 TC -with ‘favourable’ tracks for impact analysis. In all scenarios, consideration was given to regional historical analogues for the selected synthetic tracks to better relate the scenario outputs to known or “lived” events. These categories were chosen as they represent events with a moderate and very low likelihood with respect to intensity, based on historical observations. This also accounts for the future climate of less TCs but more intense occurrences, highlighting the different impacts arising from different events. It is important to emphasise and understand that each individual TC event will be different and lead to different impacts. <br>
DOI: 10.25919/6k2y-ds22
title: Parkes observations for project P737 semester 2022APRS_06

description: The aim of this proposal is to carry out tests of the new backend instruments which cannot be carried out during standard maintenance periods. The scheduled time is used to measure beam shapes, determine polarisation calibration solutions and commission the National Facility observing modes for the new wide-band receiver.
DOI: 10.26186/147445
title: P1291B Tanami-King Leopold WA Airborne Gravity Survey 2017

description: The Tanami–King Leopold survey was part of a collaborative research project between Geoscience Australia (GA) and the Geological Survey of Western Australia. Gravity data was collected at 5 km wavelength resolution with the purpose to help characterise key undercover geological elements of the region. The project area extends approximately from the Balgo Hills region near the border with the Northern Territory through to Derby in the west. The survey was conducted by Thomson Aviation Pty Ltd with a GT-2A gravimeter and managed by GA. A total of 25,869.36 line km of data were acquired over an area of 58,040 km². <strong>Survey details</strong>Survey Name: Tanami-King Leopold WA airborne gravity survey 2017State/Territory: Western Australia (WA)Datasets Acquired: Airborne gravity Geoscience Australia Project Number: P1291B Acquisition Start Date: June 16, 2017 Acquisition End Date: August 12, 2017 Flight line spacing: 2.5 km Flight line direction: 180deg / NS Tie line spacing: 25km Tie line direction: 270 deg / EWTotal line kilometers: 25,869.36 Nominal terrain clearance (above ground level): 477 m Aircraft type: GippsAero GA-8 AirvanData Acquisition: Thomson Aviation Project Management: Geoscience Australia Quality Control: CMG Operations Pty Ltd and Geoscience Australia Dataset Ownership: GSWA and Geoscience Australia <strong>Files included in this download</strong>This data package release contains the final survey deliverables received from the contractor Thomson Aviation. Quality control and data processing services were provided by CMG Operations Pty Ltd and peer reviewed by Dr Jack McCubbine (Geoscience Australia). The horizontal datum and projection for all the data are GDA94 and MGA52, respectively. <strong>1.</strong> <strong><em>Point-located Data / line data</em></strong>ASCII column XYZ and ASEG-GDF2 format with accompanying description and definition files.<br> <strong><em>2.Grids</em></strong> Datum: GDA94Projection: MGA52Grid cell size: 500mFormat: ERMapper (.ers)Gravity datum: AAGD07. There are 24 gridded data supplied in ERMapper (.ers) format. The grid cell size is 500 metres. The gravity datum used is AAGD07. <br> <strong>3. Reports</strong> • Final survey logistic report delivered to Geoscience Australia by the survey contractor: <em>TNC-TANAMI-FINAL-REPORT.pdf</em>• QC report from the peer reviewer of the data package: <em>Tanami King Leopold QC report.pdf</em> The data from this Tanami King Leopold survey can also be downloaded from the Geological Survey of Western Australia’s MAGIX platform at https://magix.dmirs.wa.gov.au and GeoVIEW.WA web mapping application at https://geoview.dmp.wa.gov.au/GeoView under reference number 71200. <br>
DOI: 10.25912/rdf_1670802150504
title: Selecting Key Smart Building Technologies for UAE Prisons by Integrating Analytical Hierarchy Process (AHP) and Fuzzy-TOPSIS
DOI: 10.25919/ab3h-bc59
title: Parkes observations for project PX500 semester 2022APRS_08

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: 10.5519/qd.igmycht5
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (51 records)
DOI: 10.5281/zenodo.6917211
title: Using social media and personality traits to assess software developers' emotions

description: Companion DATA Title: Using social media and personality traits to assess software developers’ emotions Authors: Leo Moreira Silva Marília Gurgel Castro Miriam Bernardino Silva Milena Nestor Santos Uirá Kulesza Margarida Lima Henrique Madeira Journal: PeerJ Computer Science ------------------------------------------------------------ The folders contain: /analysis analyzed_tweets_by_psychologists.csv: file containing the manual analysis done by psychologists analyzed_tweets_by_participants.csv: file containing the manual analysis done by participants analyzed_tweets_by_psychologists_solved_divergencies.csv: file containing the manual analysis done by psychologists over 51 divergent tweets' classifications /dataset alldata.json: contains the dataset used in the paper /ethics_committee committee_response.pdf: contains the acceptance response of Research Ethics and Deontology Committee of the Faculty of Psychology and Educational Sciences of the University of Coimbra. committee_submission_form.pdf: the project submitted to the committee. consent_form.pdf: declaration of free and informed consent fulfilled by participants. data_protection_declaration.pdf: personal data and privacy declaration, according to European Union General Data Protection Regulation. /notebooks General - Charts.ipynb: notebook file containing all charts produced in the study, including those in the paper Statistics - Lexicons and Ensembles.ipynb: notebook file with the statistics for the five lexicons and ensembles used in the study Statistics - Linear Regression.ipynb: notebook file with the multiple linear regression results Statistics - Polynomial Regression.ipynb: notebook file with the polynomial regression results Statistics - Psychologists versus Participants.ipynb: notebook file with the statistics between the psychologists and participants manual analysis Statistics - Working x Non-working.ipynb: notebook file containing the statistical analysis for the tweets posted during work period and those posted outside of working period /surveys Demographic_Survey.pdf: survey inviting participants to enroll in the study. We collect demographic data and participants' authorization to access their public Tweet posts Demographic_Survey_answers.xlsx: participants' demographic survey answers ibf_pt_br.doc: the Portuguese version of the Big Five Inventory (BFI) instrument to infer participants' Big Five polarity traits ibf_answers.xlsx: participantes' and psychologists' answers for BFI Experiment Protocol.pdf: file containing the explanation of the experiment protocol. ------------------------------------------------------------ We have removed from dataset any sensible data to protect participants' privacy and anonymity. We have removed from demographic survey answers any sensible data to protect participants' privacy and anonymity.
DOI: 10.6084/m9.figshare.21385449
title: RNA-sequencing dataset

description: RNA-sequencing dataset generated in the study, "A ubiquitination cascade regulating the integrated stress response and survival in carcinomas."
DOI: 10.6084/m9.figshare.21385566
title: Modifier Screen Datasets

description: Modifier screening datasets generated in the study, "A ubiquitination cascade regulating the integrated stress response and survival in carcinomas."
DOI: 10.5281/zenodo.6991563
title: Data set for Water Affordability in the United States

description: Please refer to the latest version at https://zenodo.org/record/7425710
description: {"references": ["Cardoso, D. S., & Wichman, C. J. (2022). Water affordability in the United States. Water Resources Research, 58, e2022WR032206. https://doi.org/10.1029/2022WR032206"]}
DOI: 10.21227/n4qt-6389
title: CRAWDAD telefonica/mobilephoneuse

description: Detailed logs of mobile phone usage of 342 people over the course of ca. 4 weeks. Contains events from 25 physical and virtual sensors (e.g. app in foreground, received notifications, ambient noise level, semantic location, ...), frequent self reports of emotions (valence and arousal), and for some participants self-reported traits (Big 5 Traits, Boredom Proneness [BPS], Patient Health Questionnaire [PHQ8]). Sensors: acceleration, airplane mode, app in foreground, audio, battery, battery drain, cell tower details, data consumption, ambient light, ambient noise, notifications, notification center access, notification dismissed, notifications cleared, device orientation, phone calls, photos, proximity (screen covered or not), screen events (on, off, unlocked), screen orientation (portrait, landscape), semantic location (home, work, ...), sms events, user activity (sitting, in vehicle, ...), wifi details. Details can be found at https://sites.google.com/view/mobile-phone-use-datasetlast modified : 2019-04-29nickname : mobilephoneuseinstitution : telefonicarelease date : 2019-04-29date/time of measurement start : 2016-04-15date/time of measurement end : 2016-07-12collection environment : 342 mobile phone users recruited by an agency to match the demographics of the country of study: SpainTracesettelefonica/mobilephoneuse/MobilePhoneUseDetailed mobile phone use data (events, sensors, emotion self-reports, traits) of 342 people over the course of 342files: mpu.zipdescription: Detailed logs of mobile phone usage of 342 people over the course of ca. 4 weeks. Contains events from 25 physical and virtual sensors (e.g. app in foreground, received notifications, ambient noise level, semantic location, ...), frequent self reports of emotions (valence and arousal), and for some participants self-reported traits (Big 5 Traits, Boredom Proneness [BPS], Patient Health Questionnaire [PHQ8]). Sensors: acceleration, airplane mode, app in foreground, audio, battery, battery drain, cell tower details, data consumption, ambient light, ambient noise, notifications, notification center access, notification dismissed, notifications cleared, device orientation, phone calls, photos, proximity (screen covered or not), screen events (on, off, unlocked), screen orientation (portrait, landscape), semantic location (home, work, ...), sms events, user activity (sitting, in vehicle, ...), wifi details. Details can be found at https://sites.google.com/view/mobile-phone-use-datasetmeasurement purpose: Usage Characterization, Human Behavior Modelingmethodology: This data was collected as part of a dedicated study. Volunteers installed an application onto their phones to collect a wide range of mobile phone use events, sensor data, and self-reports.telefonica/mobilephoneuse/MobilePhoneUse Traces:
DOI: 10.34740/kaggle/dsv/4709661
title: BBC News
DOI: 10.34740/kaggle/dsv/4709680
title: OntoUML/UFO Catalog
DOI: 10.34740/kaggle/dsv/4709687
title: Polish-Ukrainian translations from Tatoeba
DOI: 10.25912/rdf_1670808596168
title: Image dataset for detecting sugarcane white leaf disease using Deep learning
DOI: 10.6084/m9.figshare.21701345
title: Summary of raw and clean reads and transcriptome assembly

description: Summary of raw and clean reads and transcriptome assembly
DOI: 10.6084/m9.figshare.21701345.v1
title: Summary of raw and clean reads and transcriptome assembly

description: Summary of raw and clean reads and transcriptome assembly