cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.5995319
title: Root Cause Analysis Calibration Data

description: This dataset contains three parts: <strong>sizeEvolution.tar</strong>: Measurement data of relative standard deviations of generated call trees RCA strategy data: <strong>strategy-COMPLETE.tar</strong>, <strong>strategy-UNTIL_SOURCE_CHANGE.tar</strong>, <strong>strategy-LEVELWISE.tar</strong>: Measurement data of root cause analysis of example performance differences of 1.0%, 2.0%, 3.0% and 5.0% for three RCA strategies <strong>extract.sh</strong>: Script for unpacking the RCA strategy data <strong>RCA-strategy-results.tar.xz</strong>: The result data of the analysis <strong>UNTIL_SOURCE_CHANGE_2_1.010.pdf </strong>and <strong>UNTIL_SOURCE_CHANGE_8_1.010.pdf</strong>: Two example files, showing how the F<sub>1</sub> score declines with increasing tree depth. Thereby, the measurability of root causes of performance changes based on the effect size and measurement strategy and configuration can be estimated. To execute the analysis of the data, execute the following steps: Download everything to the folder $DATA (eg. ~/Downloads/data/). Extract the data by running ./extract.sh in this folder. Analyse the data by running scripts/analysis_strategy/localStrategyComparison.sh $DATA from the precision-experiments-rca repository <em>(link will be provided upon acceptance)</em>, where $DATA is the folder of the data. This will yield pdf result files like given in RCA-strategy-results.tar.xz. To execute the measurements, use the precision-experiments-rca repository <em>(link will be provided upon acceptance)</em>. The measurement data were obtained by execution of https://github.com/DaGeRe/precision-experiments-rca/ on Java 1.8.0_312 running on Ubuntu 20.04 and on i7-6700 @ 3.40 GHz.
DOI: 10.5281/zenodo.6614065
title: Cerveteri, Tomba dei Capitelli. Dataset ricostruzione virtuale, back-end scientifico, storytelling

description: Ricostruzione virtuale della Tomba dei Capitelli nella necropoli della Banditaccia a Cerveteri, esemplificativa della tomba-casa etrusca. E' stato incluso anche un potenziale corredo e una simulazione delle deposizioni .Al modello 3D si accompagnano alcuni rendering 360 della tomba attuale (come è) e ricostruita (come era, da due punti di vista all'interno della tomba.Una mappa indica il loor posizionamento in pianta. A ciascun rendering si associano contenuti narrativi riferiti alla vista generale e ad alcuni elementi di approfondimento (identificati da maschere semantiche). Inoltre sui rendering è mappato anche il back end scientifico: il livello di affidabilità della ricostruzione è indicato con colori simbolici (rosso: elementi archeologici documentati in situ; azzurro: elementi soggetti a ricostruzione o restauro virtuale di un risarcimento derivante da evidenza fisica; verde: elementi ricostruiti in mancanza di concrete evidenze attraverso processi comparativi o deduttivi; giallo chiaro: anastilosi tipo 1: riposizionamento di frammenti esistenti ma rimossi o ritrovati in giacitura secondaria e attualmente conservati in altro contesto; giallo scuro: anastilosi tipo 2: ricostruzione o restauro virtuale del frammento riposizionato in anastilosi virtuale). Infine a completamento del back end scientifico ai vari elementi ricostruiti virtualmente sono associate le informazioni relative alle fonti e ai processi interpretatativi che hanno supporttao l'ipotesi ricostruttiva. Il gruppo di lavoro è multidisciplinare ed include istituzioni di ricerca e industrie creative.
description: grant: ALES
DOI: 10.34740/kaggle/dsv/3776390
title: 2021 World Population (updated daily)
DOI: 10.17034/432c374c-174d-4a15-b2d7-10d21721fa1b
title: Oral history gathered From residents in Ardboe, County Tyrone, Northern Ireland

description: The interviews include discussion on places around Ardboe and the surrounding area including Trickvallen Road, Mullanahoe, Stevenstown, The Diamond, Albany, Bornamona, Clagan, Monachmore, Turnen Road, Moortown, the Battery, Kinturk, Dungannon, Magherafelt and Cookstown. Emigration to Australia and America are also mentioned. Subjects born 1940s onwards. Topics include education, work, social life and the former WW2 military airfield at Cluntoe.
DOI: 10.26188/12646541.v1
title: ASF_VTN_ABCSMC_posteriors

description: Posterior distributions and code for the analysis 'Estimation of a within-herd transmission rate for African swine fever in Vietnam'.
DOI: 10.26188/12646541.v3
title: ASF_VTN_ABCSMC_posteriors

description: Posterior distributions and code for the analysis 'Estimation of a within-herd transmission rate for African swine fever in Vietnam'.
DOI: 10.26188/12646541.v2
title: ASF_VTN_ABCSMC_posteriors

description: Posterior distributions and code for the analysis 'Estimation of a within-herd transmission rate for African swine fever in Vietnam'.
DOI: 10.26188/12646541
title: ASF_VTN_ABCSMC_posteriors

description: Posterior distributions and code for the analysis 'Estimation of a within-herd transmission rate for African swine fever in Vietnam'.
DOI: 10.26188/12703100.v1
title: preART HIV-HBV cohort data at time of liver biopsy

description: People living with HIV-HBV co-infection (n=39) were recruited. Inclusion criteria were HIV antibody positive, HBV surface antigen (HBsAg) and/or HBV DNA positive on two occasions at least 6 months apart or HBsAg and/or HBV DNA positive with HBV core IgG antibody, 18 years or older and ART naïve. Demographic, clinical and pathology laboratory data were collected at the time of liver biopsy; immunological and virological parameters measured in plasma and liver.
DOI: 10.26188/12703100
title: preART HIV-HBV cohort data at time of liver biopsy

description: People living with HIV-HBV co-infection (n=39) were recruited. Inclusion criteria were HIV antibody positive, HBV surface antigen (HBsAg) and/or HBV DNA positive on two occasions at least 6 months apart or HBsAg and/or HBV DNA positive with HBV core IgG antibody, 18 years or older and ART naïve. Demographic, clinical and pathology laboratory data were collected at the time of liver biopsy; immunological and virological parameters measured in plasma and liver.
DOI: 10.26188/12720941.v1
title: Data for the paper Joint Distributional Choices: an experimental analysis

description: Stata dataset used to derive all the results for the paper Joint Distributional Choices: an experimental analysis
DOI: 10.26188/12720941
title: Data for the paper Joint Distributional Choices: an experimental analysis

description: Stata dataset used to derive all the results for the paper Joint Distributional Choices: an experimental analysis
DOI: 10.26188/12743930.v1
title: Dickerson et al 2020 BES Data

description: Data sets from Dickerson et al 2020 Behav Ecol Soci used for analysis. Data collected by Bioacoustic Audio Recorders. Correlational data. Each data set contains a meta data sheet which descriptions of the data in each column.
DOI: 10.26188/12743930
title: Dickerson et al 2020 BES Data

description: Data sets from Dickerson et al 2020 Behav Ecol Soci used for analysis. Data collected by Bioacoustic Audio Recorders. Correlational data. Each data set contains a meta data sheet which descriptions of the data in each column.
DOI: 10.26188/12752399.v1
title: Data Monash Study

description: Dataset (behavioural, questionnaire, imaging scores), raw EEG data, PEB script<br>
DOI: 10.26188/12752399
title: Data Monash Study

description: Dataset (behavioural, questionnaire, imaging scores), raw EEG data, PEB script<br>
DOI: 10.26188/12814535
title: Discovered Process Models 2020-08

description: A collection of process models automatically discovered from event logs of IT-systems using various process mining discovery techniques.
DOI: 10.26188/12824765.v1
title: FIBR project data

description: The dataset contains all raw observations made from a field experiment conducted across multiple European sites and seasons in 2006-2007.The project was led by Pr. Johanna Schmitt (UC Davis).The dataset has been used in the following publications:- Wilczek et al. (2009) Science- Fournier-Level et al. (2011) Science- Fournier-Level et al (2013) Molecular Ecology- Taylor et al. (2019) PNAS<br>
DOI: 10.26188/12824765
title: FIBR project data

description: The dataset contains all raw observations made from a field experiment conducted across multiple European sites and seasons in 2006-2007.The project was led by Pr. Johanna Schmitt (UC Davis).The dataset has been used in the following publications:- Wilczek et al. (2009) Science- Fournier-Level et al. (2011) Science- Fournier-Level et al (2013) Molecular Ecology- Taylor et al. (2019) PNAS<br>
DOI: 10.26188/12869969.v1
title: nominal methylQTL statistics

description: Supplementary file 4 from Natri et al, "Genetic architecture of gene regulation in Indonesian populations identifies QTLs associated with local ancestry and archaic introgression<br>", 2020 (biorxiv)<br>Contains the nominal methylQTL statistics for the all SNPs tested for the targets of the permutation-significant methylQTLs.<br>
DOI: 10.26188/12869969
title: nominal methylQTL statistics

description: Supplementary file 4 from Natri et al, "Genetic architecture of gene regulation in Indonesian populations identifies QTLs associated with local ancestry and archaic introgression<br>", 2020 (biorxiv)<br>Contains the nominal methylQTL statistics for the all SNPs tested for the targets of the permutation-significant methylQTLs.<br>
DOI: 10.26188/12871007.v1
title: nominal eQTL statistics for all tested SNP-gene pairs

description: Supplementary file 3 from Natri et al, "Genetic architecture of gene regulation in Indonesian populations identifies QTLs associated with local ancestry and archaic introgression<br>", 2020 (biorxiv)<br>Contains nominal eQTL statistics for all tested SNP-gene pairs.<br>
DOI: 10.26188/12871007
title: nominal eQTL statistics for all tested SNP-gene pairs

description: Supplementary file 3 from Natri et al, "Genetic architecture of gene regulation in Indonesian populations identifies QTLs associated with local ancestry and archaic introgression<br>", 2020 (biorxiv)<br>Contains nominal eQTL statistics for all tested SNP-gene pairs.<br>
DOI: 10.26188/12932567.v1
title: Life history data and identifier data

description: life history data on daphnia carinata
DOI: 10.26188/12932567
title: Life history data and identifier data

description: life history data on daphnia carinata
DOI: 10.26188/13003955.v1
title: Australian College of Optometry Public Eye Health Limited Dataset

description: This dataset contains de-identified routinely collected eye examination results for over 3000 individuals seeking eye care from the Australian College of Optometry. This data was collected from 1st January to 31st December 2018.
DOI: 10.26188/13003955
title: Australian College of Optometry Public Eye Health Limited Dataset

description: This dataset contains de-identified routinely collected eye examination results for over 3000 individuals seeking eye care from the Australian College of Optometry. This data was collected from 1st January to 31st December 2018.
DOI: 10.6084/m9.figshare.20043374.v4
title: DDXPlus Dataset

description: We are releasing under the CC-BY licence a new dataset for Automatic Symptom Detection (ASD) and Automatic Diagnosis (AD) systems in the medical domain. The dataset contains patients synthesized using a proprietary knowledge base. The dataset contains symptoms and antecedents for all the patients. To the best of our knowledge, this is the first dataset that includes non-binary symptoms such as categorical and multi-choice symptoms. The dataset also contains a differential diagnosis for each of the patients. These 2 characteristics set it apart from the existing datasets in the AD/ASD community.
DOI: 10.26188/13046675
title: Travelling zines pages collection October 2020

description: Zines are typically low-fi, self-published creative works involving original or appropriated content. Each member of the zine project puts a zine into circulation. Once the zine is received, ‘being scicurious’ data is added by the receiver who makes the next zine page, then it is posted onwards to its next scicurious destination. This was a collaborative effort to untangle questions around identity, curiosity and belonging.
DOI: 10.26188/13107509.v1
title: CDGN_Genomes_2020

description: Complete genomes for 26 bacterial pathogens of public health importance to Australia and the Southwest Pacific.
DOI: 10.26188/13107509
title: CDGN_Genomes_2020

description: Complete genomes for 26 bacterial pathogens of public health importance to Australia and the Southwest Pacific.
DOI: 10.26188/13233680.v1
title: The Australian Body Composition (ABC) Study - Supplementary Data

description: <b>Supplementary Data - Tables and Reference Charts </b>
DOI: 10.26188/13233680
title: The Australian Body Composition (ABC) Study - Supplementary Data

description: <b>Supplementary Data - Tables and Reference Charts </b>
DOI: 10.26188/13271639.v2
title: FREO2 LPOS Mbarara Trial Raw Data

description: Data taken during the FREO2 Mbarara Trial of the Low Pressure Oxygen Storage (LPOS) system. Sampled at ~1 Hz. Consists of:<br>Four flows measured using SFM3000 flow sensors - concentrator, patient, LPOS, pressure relief and cylinder flows<br>One pressure - LPOS storage pressure (measuring using an MPX4250 pressure sensor)<br><br>O2 Purity - Measured just before going to patient, using a longfian oxygen purity sensor module. <br><br>Timestamp is in Linux epoch, seconds since Jan 1 1990 (UTC). <br>
DOI: 10.26188/13271639.v1
title: FREO2 LPOS Mbarara Trial Raw Data.csv

description: Data taken during the FREO2 Mbarara Trial of the Low Pressure Oxygen Storage (LPOS) system. Sampled at ~1 Hz. Consists of:<br>Four flows measured using SFM3000 flow sensors - concentrator, patient, LPOS, pressure relief and cylinder flows<br>One pressure - LPOS storage pressure (measuring using an MPX4250 pressure sensor)<br><br>O2 Purity - Measured just before going to patient, using a longfian oxygen purity sensor module. <br><br>Timestamp is in Linux epoch, seconds since Jan 1 1990 (UTC). <br>
DOI: 10.26188/13271639
title: FREO2 LPOS Mbarara Trial Raw Data

description: Data taken during the FREO2 Mbarara Trial of the Low Pressure Oxygen Storage (LPOS) system. Sampled at ~1 Hz. Consists of:<br>Four flows measured using SFM3000 flow sensors - concentrator, patient, LPOS, pressure relief and cylinder flows<br>One pressure - LPOS storage pressure (measuring using an MPX4250 pressure sensor)<br><br>O2 Purity - Measured just before going to patient, using a longfian oxygen purity sensor module. <br><br>Timestamp is in Linux epoch, seconds since Jan 1 1990 (UTC). <br>
DOI: 10.26188/13292891.v2
title: #DataCreativities collaboration: Data Sources and Ecology of Resources

description: This output was produced by members of the #DataCreativities team Kristal Spreadborough, Gene Melzack, and Emily Fitzgerald.<br>This output is a single PDF document containing: 1. context and overview of the ecology of resources used by #DataCreativities2. a table of the resources (tools), and the resulting data.<br>Please cite this data visualisation as:#DataCreatives (2020): #DataCreativities collaboration: Data Sources and Ecology of Resources. https://doi.org/10.26188/13292891
DOI: 10.26188/13292891.v1
title: #DataCreativities collaboration: Data Sources and Ecology of Resources

description: This output was produced by members of the #DataCreativities team Kristal Spreadborough, Gene Melzack, and Emily Fitzgerald.<br>This output is a single PDF document containing: 1. context and overview of the ecology of resources used by #DataCreativities2. a table of the resources (tools), and the resulting data.<br>Please cite this data visualisation as:#DataCreatives (2020): #DataCreativities collaboration: Data Sources and Ecology of Resources. https://doi.org/10.26188/13292891
DOI: 10.26188/13292891
title: #DataCreativities collaboration: Data Sources and Ecology of Resources

description: This output was produced by members of the #DataCreativities team Kristal Spreadborough, Gene Melzack, and Emily Fitzgerald.<br>This output is a single PDF document containing: 1. context and overview of the ecology of resources used by #DataCreativities2. a table of the resources (tools), and the resulting data.<br>Please cite this data visualisation as:#DataCreatives (2020): #DataCreativities collaboration: Data Sources and Ecology of Resources. https://doi.org/10.26188/13292891
DOI: 10.26188/13377302.v1
title: Morrongiello et al 2021 Global Change Biology

description: Increment measurements and biological data associated with Morrongiello et al (2021) publication in Global Change Biology titled 'Synergistic effects of harvest and climate drive synchronous somatic growth within key New Zealand fisheries’<br>
DOI: 10.26188/13377302
title: Morrongiello et al 2021 Global Change Biology

description: Increment measurements and biological data associated with Morrongiello et al (2021) publication in Global Change Biology titled 'Synergistic effects of harvest and climate drive synchronous somatic growth within key New Zealand fisheries’<br>
DOI: 10.6084/m9.figshare.20051249
title: Raster_files_mycorrhizal_roots

description: Raster files in .tiff format including: - Fine root biomass carbon stocks associated with AM fungi <br> - Fine root biomass carbon stocks associated with EcM fungi <br> - Herbaceous fine root biomass carbon stocks associated with AM fungi. - Woody fine root biomass carbon stocks associated with AM fungi - Woody fine root biomass carbon stocks associated with EcM fungi - Tundra fine root biomass carbon stocks associated with AM fungi - Tundra fine root biomass carbon stocks associated with EcM fungi - Averaged number of occurrences in colonization database of AM species per each spatial unit - Averaged number of occurrences in colonization database of EcM species per spatial unit - Mean relative abundance of AM species with colonization data per spatial unit - Mean relative abundance of EcM species with colonization data per spatial unit - Number of plots included each spatial unit for AM calculation - Number of plots included each spatial unit for EcM calculation - Fine root biomass C stocks capable to form associations with AM fungi - Fine root biomass C stocks capable to form associations with EcM fungi - Intensity of AM root colonization - Intensity of EcM root colonization
DOI: 10.6084/m9.figshare.20051249.v1
title: Raster_files_mycorrhizal_roots

description: Raster files in .tiff format including: - Fine root biomass carbon stocks associated with AM fungi <br> - Fine root biomass carbon stocks associated with EcM fungi <br> - Herbaceous fine root biomass carbon stocks associated with AM fungi. - Woody fine root biomass carbon stocks associated with AM fungi - Woody fine root biomass carbon stocks associated with EcM fungi - Tundra fine root biomass carbon stocks associated with AM fungi - Tundra fine root biomass carbon stocks associated with EcM fungi - Averaged number of occurrences in colonization database of AM species per each spatial unit - Averaged number of occurrences in colonization database of EcM species per spatial unit - Mean relative abundance of AM species with colonization data per spatial unit - Mean relative abundance of EcM species with colonization data per spatial unit - Number of plots included each spatial unit for AM calculation - Number of plots included each spatial unit for EcM calculation - Fine root biomass C stocks capable to form associations with AM fungi - Fine root biomass C stocks capable to form associations with EcM fungi - Intensity of AM root colonization - Intensity of EcM root colonization
DOI: 10.5281/zenodo.6631475
title: PHIRI - WP6 - Use Case A - Austria - aggregated output of the PHIRI APP

description: The PHIRI Federated Research Infrastructure (FRI) is supported by a containerized reproducible solution for data analysis to be deployed on-premises by each participant partner. This solution is based on the identification of the relevant data sources for each cases study (including the demonstration pilot), the development of the common data models and the analytical pipelines, and enables the FAIR reporting of the rapid cycle outputs. The aggregated dataset is produced by an analysis script integrated within the PHIRI App for PHIRI Use Case A local analyses performed on data from Austria. Input data conforms to the respective Common Data Model. The aggregated output dataset is disseminated within WP6 of the PHIRI project to allow for aggregated and comparative analyses across participating countries. If you wish to contribute to the PHIRI - Use Case A analyses, please contact the WP6 Coordinator through the PHIRI website.
DOI: 10.5281/zenodo.6631474
title: PHIRI - WP6 - Use Case A - Austria - aggregated output of the PHIRI APP

description: The PHIRI Federated Research Infrastructure (FRI) is supported by a containerized reproducible solution for data analysis to be deployed on-premises by each participant partner. This solution is based on the identification of the relevant data sources for each cases study (including the demonstration pilot), the development of the common data models and the analytical pipelines, and enables the FAIR reporting of the rapid cycle outputs. The aggregated dataset is produced by an analysis script integrated within the PHIRI App for PHIRI Use Case A local analyses performed on data from Austria. Input data conforms to the respective Common Data Model. The aggregated output dataset is disseminated within WP6 of the PHIRI project to allow for aggregated and comparative analyses across participating countries. If you wish to contribute to the PHIRI - Use Case A analyses, please contact the WP6 Coordinator through the PHIRI website.
DOI: 10.26188/13487160.v2
title: Barrow_dataset

description: sap flow, tree growth, and water level for trees in stormwater control measures.
DOI: 10.26188/13487160.v1
title: Barrow_dataset

description: sap flow, tree growth, and water level for trees in stormwater control measures.
DOI: 10.26188/13487160
title: Barrow_dataset

description: sap flow, tree growth, and water level for trees in stormwater control measures.
DOI: 10.26188/13523837.v1
title: Marker information of the XT-50K panel

description: The data contains coordinates and multi-trait GWAS summary statistics of the prioritised 46K variants from the XT-50K panel. This is part of the results from 'Xiang R, et al. (2021) Genome-wide fine-mapping identifies pleiotropic and functional variants that predict many traits across global cattle populations. Nature Communications, In Press.'. The marker information is distributed under the Creative Commons Attribution-NonCommercial License 4.0 (CC BY-NC) for non-commercial research. Parties interested in the commercial use of the XT-50K markers should contact the authors of the manuscript in the first instance, to discuss lodging a formal request.<br>Reference: Xiang R, et al. (2021) Genome-wide fine-mapping identifies pleiotropic and functional variants that predict many traits across global cattle populations. Nature Communications In Press.
DOI: 10.26188/13523837.v3
title: Marker information of the XT-50K panel

description: The data contains coordinates and multi-trait GWAS summary statistics of the prioritised 46K variants from the XT-50K panel. This is part of the results from 'Xiang R, et al. (2021) Genome-wide fine-mapping identifies pleiotropic and functional variants that predict many traits across global cattle populations. Nature Communications, In Press.'. The marker information is distributed under the Creative Commons Attribution-NonCommercial License 4.0 (CC BY-NC) for non-commercial research. Parties interested in the commercial use of the XT-50K markers should contact the authors of the manuscript in the first instance, to discuss lodging a formal request.<br>Reference: Xiang R, et al. (2021) Genome-wide fine-mapping identifies pleiotropic and functional variants that predict many traits across global cattle populations. Nature Communications In Press.