cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.3936725
title: German legal decision corpus

description: The corpus belongs to the paper "Design and Implementation of German Legal Decision Corpora" from Urchs et al.[1]. Please cite [1] when using the corpus. [1] Urchs Stefanie, Mitrović Jelena, and Granitzer Michael. "Design and Implementation of German Legal Decision Corpora" ICAART. 2021. This corpus consits of 32,748 decisions of Bavarian courts (between 2015 and 2020), enriched with meta data. The decisisons are provided on the website www.gesetze-bayern.de. These decisions are safed in the following JSON format: <code>{ </code> <code>"meta": </code> <code> { "meta_title": "", </code> <code> "court": "", </code> <code> "decision_style": "", </code> <code> "date": "", </code> <code> "file_number":"", </code> <code> "title": "", </code> <code> "norm_chains": ["", ""], </code> <code> "decision_guidelines": ["", ""], </code> <code> "keywords": "", </code> <code> "lower_court": ["", ""], </code> <code> "additional_information": "", </code> <code> "decision_reference": "" </code> <code>}, </code> <code>"decision_text":</code> <code> { "tenor": ["",""], </code> <code> "legal_facts": ["",""], </code> <code> "decision_reasons": ["",""] </code> <code> } </code> <code>} </code> metadata fields (not all fields are always filled): - Meta Title: Title of the decision as stated on the website - Court: Name of the issuing court - Decision Style: Style of the decision - Date: Issuing date - File Number: File number of the descision - Title: Title of the decision as stated by the court - Norm Chains: Norms related to the decision - Decision Guideline: Guidlines that lead to the decision - Keywords: Keywords associated with the decision - Lower Court: Court that worked with this decision beforehand - Additional Information: more information - Decison reference: reference to the decision in beck-online The descision text is structured in three parts, not all parts are always filled. - Tenor: short description of the outcomes of the legal decision issued by the court - Legal Facts: Statment of all facts that lead to a decision - Decision Reasons: Indepth explanaition why a court decided in a certain way.
description: {"references": ["Urchs Stefanie, Mitrovi\u0107 Jelena, and Granitzer Michael. \"Design and Implementation of German Legal Decision Corpora\" ICAART. 2021."]}
DOI: 10.5281/zenodo.3936490
title: German legal jugements annotated with judement style components

description: This corpus consits of 200 annotated German legal judgements. In all judgements the parts "conclusion", "definition" and "subsuption" of the German legal writing style "Urteilsstil" (judgement style) are annotated. It belongs to the paper "Design and Implementation of German Legal Decision Corpora" from Urchs et al.[1]. Please cite [1] when using the corpus. The annotation of the corpus was made possible by the research center for legal questions of digitalization processes (“FREDI”) [2]. [1] Urchs Stefanie, Mitrović Jelena, and Granitzer Michael. "Design and Implementation of German Legal Decision Corpora" ICAART. 2021. [2] https://www.jura.uni-passau.de/en/faculty/institutes-and-centres/research-center-for-legal-questions-of-digitalization-processes-fredi/
description: {"references": ["Urchs Stefanie, Mitrovi\u0107 Jelena, and Granitzer Michael. \"Design and Implementation of German Legal Decision Corpora\" ICAART. 2021."]}
DOI: 10.5281/zenodo.3936489
title: German legal jugements annotated with judement style components

description: This corpus consits of 200 annotated German legal judgements. In all judgements the parts "conclusion", "definition" and "subsuption" of the German legal writing style "Urteilsstil" (judgement style) are annotated. It belongs to the paper "Design and Implementation of German Legal Decision Corpora" from Urchs et al.[1]. Please cite [1] when using the corpus. The annotation of the corpus was made possible by the research center for legal questions of digitalization processes (“FREDI”) [2]. [1] Urchs Stefanie, Mitrović Jelena, and Granitzer Michael. "Design and Implementation of German Legal Decision Corpora" ICAART. 2021. [2] https://www.jura.uni-passau.de/en/faculty/institutes-and-centres/research-center-for-legal-questions-of-digitalization-processes-fredi/
description: {"references": ["Urchs Stefanie, Mitrovi\u0107 Jelena, and Granitzer Michael. \"Design and Implementation of German Legal Decision Corpora\" ICAART. 2021."]}
DOI: 10.21258/1534337
title: Inventaire forestier national suisse - Tableau no 891742
DOI: 10.21258/1560367
title: Inventaire forestier national suisse - Tableau no 899432
DOI: 10.21258/1601335
title: Inventario forestale nazionale svizzero - Tabella n. 896977
DOI: 10.21258/1542373
title: Inventaire forestier national suisse - Tableau no 892830
DOI: 10.21258/1619808
title: Inventario forestale nazionale svizzero - Tabella n. 897327
DOI: 10.21258/1617617
title: Inventario forestale nazionale svizzero - Tabella n. 897372
DOI: 10.21258/1580818
title: Inventario forestale nazionale svizzero - Tabella n. 898149
DOI: 10.21258/1590236
title: Inventario forestale nazionale svizzero - Tabella n. 898500
DOI: 10.21258/1625766
title: Inventario forestale nazionale svizzero - Tabella n. 897027
DOI: 10.5517/ccdc.csd.cc25vsys
title: CCDC 2021756: Experimental Crystal Structure Determination

description: Related Article: Andreas Kourtellaris, Marios S. Markoulides, Nikos Chronakis, Simon J. Teat, John C. Plakatouras, Anastasios J. Tasiopoulos|2020|Cryst.Growth Des.|20|7822|doi:10.1021/acs.cgd.0c01108
DOI: 10.5517/ccdc.csd.cc25vszt
title: CCDC 2021757: Experimental Crystal Structure Determination

description: Related Article: Andreas Kourtellaris, Marios S. Markoulides, Nikos Chronakis, Simon J. Teat, John C. Plakatouras, Anastasios J. Tasiopoulos|2020|Cryst.Growth Des.|20|7822|doi:10.1021/acs.cgd.0c01108
DOI: 10.5517/ccdc.csd.cc25vt0w
title: CCDC 2021758: Experimental Crystal Structure Determination

description: Related Article: Andreas Kourtellaris, Marios S. Markoulides, Nikos Chronakis, Simon J. Teat, John C. Plakatouras, Anastasios J. Tasiopoulos|2020|Cryst.Growth Des.|20|7822|doi:10.1021/acs.cgd.0c01108
DOI: 10.5517/ccdc.csd.cc25vt3z
title: CCDC 2021761: Experimental Crystal Structure Determination

description: Related Article: Andreas Kourtellaris, Marios S. Markoulides, Nikos Chronakis, Simon J. Teat, John C. Plakatouras, Anastasios J. Tasiopoulos|2020|Cryst.Growth Des.|20|7822|doi:10.1021/acs.cgd.0c01108
DOI: 10.5517/ccdc.csd.cc25vt40
title: CCDC 2021762: Experimental Crystal Structure Determination

description: Related Article: Andreas Kourtellaris, Marios S. Markoulides, Nikos Chronakis, Simon J. Teat, John C. Plakatouras, Anastasios J. Tasiopoulos|2020|Cryst.Growth Des.|20|7822|doi:10.1021/acs.cgd.0c01108
DOI: 10.21258/1531529
title: Inventaire forestier national suisse - Tableau no 899441
DOI: 10.21258/1535621
title: Inventaire forestier national suisse - Tableau no 892064
DOI: 10.21258/1597645
title: Inventario forestale nazionale svizzero - Tabella n. 891805
DOI: 10.5519/qd.nqmnxuge
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (221 records)
DOI: 10.21258/1585052
title: Inventario forestale nazionale svizzero - Tabella n. 891997
DOI: 10.21258/1566351
title: Inventaire forestier national suisse - Tableau no 898986
DOI: 10.21258/1557725
title: Inventaire forestier national suisse - Tableau no 899195
DOI: 10.21258/1546773
title: Inventaire forestier national suisse - Tableau no 891797
DOI: 10.21258/1554734
title: Inventaire forestier national suisse - Tableau no 892028
DOI: 10.21258/1574254
title: Inventaire forestier national suisse - Tableau no 892975
DOI: 10.21258/1606797
title: Inventario forestale nazionale svizzero - Tabella n. 897743
DOI: 10.21258/1577344
title: Inventario forestale nazionale svizzero - Tabella n. 891935
DOI: 10.21258/1581476
title: Inventario forestale nazionale svizzero - Tabella n. 902035
DOI: 10.21258/1555735
title: Inventaire forestier national suisse - Tableau no 897083
DOI: 10.25919/ap0p-8h35
title: Parkes pulsar observations with undefined project IDs for 2020_10

description: Parkes pulsar observations with undefined project IDs for 2020. This collection contains data from the ToO project PX061.
DOI: 10.6084/m9.figshare.13378877
title: Depression symptoms, HIV testing, linkage to ART, and viral suppression among women in a high HIV burden district in KwaZulu-Natal, South Africa: A cross-sectional household study

description: The data for this study came from the HIV Incidence Provincial Surveillance System (HIPSS) project. Data collection for this project was conducted in two sub-districts (Vulindlela and Edendale) in uMgungundlovu District, KwaZulu-Natal province in South Africa. The data were collected between June 2014 and June 2015. Recruitment and data collection information are reported in Kharsany et al. (2015). The explanatory memo has the stata code for the analysis.
DOI: 10.6084/m9.figshare.13378877.v1
title: Depression symptoms, HIV testing, linkage to ART, and viral suppression among women in a high HIV burden district in KwaZulu-Natal, South Africa: A cross-sectional household study

description: The data for this study came from the HIV Incidence Provincial Surveillance System (HIPSS) project. Data collection for this project was conducted in two sub-districts (Vulindlela and Edendale) in uMgungundlovu District, KwaZulu-Natal province in South Africa. The data were collected between June 2014 and June 2015. Recruitment and data collection information are reported in Kharsany et al. (2015). The explanatory memo has the stata code for the analysis.
DOI: 10.21258/1606533
title: Inventario forestale nazionale svizzero - Tabella n. 891798
DOI: 10.21258/1555077
title: Inventaire forestier national suisse - Tableau no 897139
DOI: 10.21258/1551206
title: Inventaire forestier national suisse - Tableau no 897857
DOI: 10.21258/1565601
title: Inventaire forestier national suisse - Tableau no 892833
DOI: 10.6084/m9.figshare.13378994
title: test10.zip

description: Fold 10 test set
DOI: 10.21258/1543344
title: Inventaire forestier national suisse - Tableau no 902141
DOI: 10.6084/m9.figshare.13379696.v1
title: COVID-19-generation-database-2020_version2_corrected

description: Corrected COVID-19 health anxiety scores (0-3 instead of 1-4).
DOI: 10.6084/m9.figshare.13379696
title: COVID-19-generation-database-2020_version2_corrected

description: Corrected COVID-19 health anxiety scores (0-3 instead of 1-4).
DOI: 10.21258/1534930
title: Inventaire forestier national suisse - Tableau no 897539
DOI: 10.21258/1582614
title: Inventario forestale nazionale svizzero - Tabella n. 897371
DOI: 10.21258/1546264
title: Inventaire forestier national suisse - Tableau no 891883
DOI: 10.21258/1538203
title: Inventaire forestier national suisse - Tableau no 899337
DOI: 10.6084/m9.figshare.13317932
title: Hologenome analysis reveals dual symbiosis in the deep-sea hydrothermal vent snail Gigantopelta aegis

description: The hologenome analysis reveals dual symbiotic relationship in the deep-sea hydrothermal vent snail Gigantopelta aegis.
DOI: 10.21258/1559805
title: Inventaire forestier national suisse - Tableau no 897009
DOI: 10.21227/854h-zp05
title: Test

description: Testing
DOI: 10.21258/1557311
title: Inventaire forestier national suisse - Tableau no 892840
DOI: 10.21258/1596942
title: Inventario forestale nazionale svizzero - Tabella n. 891778
DOI: 10.21258/1563470
title: Inventaire forestier national suisse - Tableau no 897276
DOI: 10.21258/1622667
title: Inventario forestale nazionale svizzero - Tabella n. 898940
DOI: 10.21258/1615840
title: Inventario forestale nazionale svizzero - Tabella n. 892839
DOI: 10.21258/1584400
title: Inventario forestale nazionale svizzero - Tabella n. 899383
DOI: 10.18112/openneuro.ds003427.v1.0.0
title: Effects of Phase Regression on High-Resolution Functional MRI of the Primary Visual Cortex
DOI: 10.21258/1574797
title: Inventaire forestier national suisse - Tableau no 897749
DOI: 10.17031/skxoeu
title: Marine Recorder JNCC Public Offshore Snapshot 2020_1 – habitat data trial

description: Extract of the publicly available offshore UK marine benthic data holdings of JNCC (Joint Nature Conservation Committee), held within the “Marine Recorder” data management system. Data comprises multi-thematic benthic surveys in the offshore, including both taxa occurrence and abundance alongside physical and biotope recordings. This dataset is being used as a pilot study into submitting fully classified biotope data into OBIS alongside associated taxonomic occurrences under the EU EMODnet initiative.
DOI: 10.21258/1603136
title: Inventario forestale nazionale svizzero - Tabella n. 899185
DOI: 10.21258/1530341
title: Inventaire forestier national suisse - Tableau no 891895
DOI: 10.5281/zenodo.4323097
title: PRW Preprint Trust Survey Data

description: Data to support findings published here: https://deltathink.com/news-views-preprints-and-covid-19-findings-from-our-prw-survey/
DOI: 10.5281/zenodo.4323096
title: PRW Preprint Trust Survey Data

description: Data to support findings published here: https://deltathink.com/news-views-preprints-and-covid-19-findings-from-our-prw-survey/
DOI: 10.21258/1550445
title: Inventaire forestier national suisse - Tableau no 891850
DOI: 10.17632/wrnvjfszc9.1
title: Latvian Real Estate Announcements Monitoring in 2020

description: This data set represents real estate market announcements monitoring data in Latvia in 2020. The data was collected from online ads site ss.com. The database contains 180,5 thousand ads and consists of 24 groups of data (type of deal, price, characteristics and address of real estate, etc.). The data reflects the dynamics of price changes by months (at the beginning of the month) in 2020. Monitoring continued in 2020 was started in 2018. 2018 year dataset is available in Skribans, Dr.oec. V. (Riga Technical University) (2019): Latvian Real Estate Announcements Monitoring in 2018. DANS. https://doi.org/10.17026/dans-2z3-fx28 , 2019 year data is available in Skribans, Valerijs (2019), “Latvian Real Estate Announcements Monitoring in 2019”, Mendeley Data, V1, doi: 10.17632/m7bzjsx557.1
DOI: 10.17632/d6xr82b856.2
title: Alpine marmot in GPNP: data for SNA of small social groups

description: Data for Panaccio et al., "Social Network Analysis of small social groups: methods and applications in alpine marmot " (working title). Analysis of alpine marmot behavior within Alpine Marmot Project in Gran Paradiso National Park Data include: - Complete dataset of agonistic behaviors observed in the study population ("Database interactions") - Database of individual and groups size characteristics included in the analysis and of social network measures calculated for each individual ("SN measures")
DOI: 10.17632/wmm2wkcwwz.1
title: Strombidium cf. basimorphum growth, ingestion, and photosynthetic responses to different irradiance and prey concentration

description: This data was generated as part of a study in which inorganic carbon uptake, growth, and ingestion rates were measured for S. cf. basimorphum under three different irradiances (10, 40, and 120 μmol photons m–2 s–1) when acclimated (Acc_Com.xlsx) to three different prey densities (5000, 10000, and 40000 cells mL-1), and when allowed to deplete the prey (Starv_comp.xlsx). After prey depletion, cultures survived without prey longest (~6 days) at the medium test irradiance (40 μmol photons m–2 s–1), while inorganic carbon uptake rates and cellular chl-a content declined fastest at the highest test irradiance. This indicates that the ciliates may be unable to maintain the chloroplasts functionally without replacement at high irradiances. Ingestion rates were significantly lower at the highest tested irradiance only when cultures were acclimated to the highest tested prey density. The maximum gross growth efficiency (GGE) in this study (1.1) was measured in cultures exposed to the medium test irradiance and lowest prey density treatment (5×103 cells mL-1). The relative contribution of inorganic carbon uptake to the ciliate carbon budget was also highest in this treatment (81%). A secondary GGE peak (0.99) occurred when cultures were exposed to the highest test irradiance and the medium prey density. These and other results suggest that S. cf. basimorphum and other generalist non-constitutive mixotrophs can flexibly exploit many different environmental conditions across the globe. Units can be found in the first mention of each parameter for every sheet.
DOI: 10.17632/b9mprfdvmv.3
title: Mitoplate S-1 analysis using R

description: This R script performs normalisation of data obtained with the MitoPlate S-1 commercialised by Biolog. In addition, it creates a scatterplot of initial rate values between conditions of interest. The script includes a first normalisation step using the "No substrate" well (A1) required for the rows A to H and a second normalisation step using the "L-Malic Acid 100 µM" (G1) only required for the rows G and H. Initial rate values are calculated as the slope of a linear regression fitted between 30 minutes and 2 hours.
DOI: 10.25398/rd.northumbria.13379687
title: Williams syndrome resting states EEG data

description: EEG data from adults with Williams syndrome during Eyes Closed and Eyes Open resting states. Data includes full alpha, low-alpha, upper-alpha, and beta frequency bands<br>
DOI: 10.25398/rd.northumbria.13379687.v2
title: Williams syndrome resting states EEG data

description: EEG data from adults with Williams syndrome during Eyes Closed and Eyes Open resting states. Data includes full alpha, low-alpha, upper-alpha, and beta frequency bands<br>
DOI: 10.25398/rd.northumbria.13379687.v1
title: Williams syndrome resting states EEG data

description: EEG data from adults with Williams syndrome during Eyes Closed and Eyes Open resting states. Data includes full alpha, low-alpha, upper-alpha, and beta frequency bands<br>
DOI: 10.17632/7dwzmvyk9t.4
title: Brazilian version of Positive Oral Health and Well-Being - (B-POHW)

description: Brazilian version of Positive Oral Health and Well-Being (B-POHW)
DOI: 10.17632/tfxwcr8fpx.1
title: Multimodality approach for endovascular left atrial appendage closure: head-to-head comparison among 2D and 3D echocardiography, angiography and computer tomography
DOI: 10.17632/364jkbvnrd.1
title: Evaporative cooling and application in HVAC systems

description: A collection of code snippets and datasets used within the project repport
DOI: 10.17632/6x969smpsn.1
title: Climatically modulated dust inputs from New Zealand to the Southwest Pacific sector of the Southern Ocean over the last 410 kyr

description: Data for "Climatically modulated dust inputs from New Zealand to the Southwest Pacific sector of the Southern Ocean over the last 410 kyr". This dataset contains the age model, element contents, and grain size results of sediment core PS75/100-4 from SW Pacific Ocean.
DOI: 10.17632/tjy4h67z4j.1
title: Underexplored 3D images lead to search errors for small target

description: Data for the Current Biology paper titled "Underexplored 3D images lead to search errors for small target"
DOI: 10.17632/tst5583273.1
title: ENDBOSS source code and demonstration

description: Source code for ENDBOSS: Industrial endpoint detection using batch-specific control spaces of spectroscopic data, including a demonstration of the code on relevant and publicly available data from the INDPENSIM simulator. For our publication introducing ENDBOSS with this demonstration, please see: - For the original INDPENSIM data used in this work, please see: - Goldrick, S., et al., Moden day monitoring and control challenges outlined on an industrial-scale benchmark fermentation processes. Computers and Chemical Engineering, 2019. 130 - https://data.mendeley.com/datasets/pdnjz7zz5x/1
DOI: 10.17632/rny66bd4df.1
title: Dataset of factors influencing on using e-learning system among Jordanian accounting students during COVID-19 pandemic

description: • The data is uses full because it describes how perceived usefulness, perceived ease-of-use, subjective norms, social trust, attitude and intention to use e-learning system can impact the actual usage of e-learning system in Jordan during the COVID-19 pandemic. • Useful dataset for further comparing researches on distance learning issues among countries with diverse contexts or different stages of the COVID-19 pandemic. • The data will provide insights and guidance on how to encourage the using of e-learning system among the students by integrating three theories based on the current literature. • The dataset can be serve as a reference source for policy makers in making strategies for e-learning. • The results of this dataset also contribute to enhancing educational leaders’ and policymakers’ awareness in Jordanian government universities in improving the e-learning system.
DOI: 10.21258/1587415
title: Inventario forestale nazionale svizzero - Tabella n. 891996
DOI: 10.17632/kw736vjpsd.1
title: Discovery of a biomarker candidate for surgical stratification in high-grade serous ovarian cancer

description: RNAseq_HH_clinical_ALG5 contains the gene expression (ALG5 NUP188 and GPR107) profiled by targeted RNA-seq and clinical data from the HH cohort; eset_all_frma_combat_expr_9207_clinical_ALG5 contains the curated gene expression data and clinical data from the TTC cohort.
DOI: 10.17632/7xvshh2s59.4
title: Data for "Corticosterone differentially modulates time-dependent fear generalization following mild or stronger fear conditioning"
DOI: 10.17632/mpwn4hzwyz.1
title: MAJDOULINE

description: Male breast cancer is a rare disease, accounting for less than 1% of all breast cancer moreover they are less studies about male breast cancer including its features and its survival outcome in our country (Morocco) and all over the world, The purpose of this study is to analyse the epidemiologic, clinical, therapeutic and evolutive profiles.
DOI: 10.17632/jv68zhz58s.2
title: PL022-26 Self-defining memories

description: Contains the datasets for bivariate and multilevel models. Fixes an error in the way specific positive SDMs were determined from SDM Affect and SDM specificity in the old version of the file. Self-defining memories (SDMs), general, and maladaptive personality study. N = 133. SDM variables based on 10 memories per participants obtained via the self-defining memory task. WAI-SF: Weinberger Adjustment Inventory. SNAP: Schedule of Nonadaptive and Adaptive Personality. NEO-FFI: NEO Five-Factor Inventory. Data collected and coded between 2009-2011.
DOI: 10.17632/h3rc7973fx.1
title: Winter cycling survey Including photos of road conditions and related bicycle rolling resistance data (In Norwegian)

description: Online winter cycling survey. Socio-demographic questions and questions about peoples willingness to cycle on various winter conditions shown on photos. Additional data for the conditions on each photo: rolling resistance.
DOI: 10.17632/63z344cc8g.1
title: A quantitative medium-throughput assay to measure Caenorhabditis elegans development and reproduction. Paul Wittkowski et al., STAR Protocols (2020)
DOI: 10.17632/4whpm32y47.2
title: Entity Resolution Benchmark Datasets

description: This collection of contains real and synthetic data benchmark datasets along with their complete golden standard (i.e., groundthruth of duplicate entities) for assessing the performance of various end-to-end ER workflows using JedAI.
DOI: 10.21258/1571718
title: Inventaire forestier national suisse - Tableau no 897927
DOI: 10.21258/1622797
title: Inventario forestale nazionale svizzero - Tabella n. 898817
DOI: 10.5517/ccdc.csd.cc22dr4d
title: CCDC 1918873: Experimental Crystal Structure Determination

description: Related Article: Qing Liu, Jing-Yi Tan, Jian-Yong Zhang, Na Zhang, Zhen-Jiang Liu|2020|Microporous and Mesoporous Materials|310|110626|doi:10.1016/j.micromeso.2020.110626