cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.25318/9810056201-fra
title: Indicateurs de la qualité des données du questionnaire détaillé pour l'immigration, le lieu de naissance et la citoyenneté : Canada, provinces et territoires, divisions de recensement et subdivisions de recensement

description: Données sur les indicateurs de qualité des données du questionnaire détaillé pour le contenu sur l'immigration, le lieu de naissance et la citoyenneté du Recensement de 2021, Canada, provinces et territoires, divisions de recensement et subdivisions de recensement.
DOI: 10.5281/zenodo.7570821
title: Defectors: A Large Scale Python Dataset for Defect Prediction

description: Defect prediction has been a major research problem in the software engineering domain for the last five decades.<br> In recent years, large deep-learning models have shifted the performance of software engineering tasks to new limits and are gaining usage in defect prediction.<br> However, these defect prediction models are often limited by the quality of their datasets, which are not large or diverse enough.<br> In this paper, we present Defectors, a large dataset for both line-level and just-in-time defect prediction.<br> Defectors consist of $\approx$ 213K source code files ($\approx$ 93K defective and $\approx$ 120K defect-free files) from 25 popular python projects from various domains and organizations.<br> These projects come from a diverse set of domains including machine learning, automation, and internet-of-things.<br> Such a scale and diversity make Defectors a suitable dataset for deep learning models, especially transformer models that require large and diverse datasets to effectively generalize defect-inducing patterns to predict future defects. Dataset Description File Name Description defectors.zip The original Dataset. Find its description in Section II of the paper. bug_inducing_commits.zip Each yaml file contains a map of bugfix commits to bug-inducing commits. filtered_bug_inducing_commits.yaml A map in structure {repo_name: {bug_inducing_commits: [list of python files in the commit]}}. This file only contains the bug-inducing commits that match the filtering criteria from Section III.D. repo_links.yaml Links to the repositories we used to construct the dataset.
DOI: 10.5281/zenodo.7570822
title: Defectors: A Large Scale Python Dataset for Defect Prediction

description: Defect prediction has been a major research problem in the software engineering domain for the last five decades.<br> In recent years, large deep-learning models have shifted the performance of software engineering tasks to new limits and are gaining usage in defect prediction.<br> However, these defect prediction models are often limited by the quality of their datasets, which are not large or diverse enough.<br> In this paper, we present Defectors, a large dataset for both line-level and just-in-time defect prediction.<br> Defectors consist of $\approx$ 213K source code files ($\approx$ 93K defective and $\approx$ 120K defect-free files) from 25 popular python projects from various domains and organizations.<br> These projects come from a diverse set of domains including machine learning, automation, and internet-of-things.<br> Such a scale and diversity make Defectors a suitable dataset for deep learning models, especially transformer models that require large and diverse datasets to effectively generalize defect-inducing patterns to predict future defects.
DOI: 10.5281/zenodo.7708917
title: Organoid Eppendorf 1 Mesolens 8March23

description: Mesolens image dataset from organoid 1
DOI: 10.5281/zenodo.7708916
title: Organoid Eppendorf 1 Mesolens 8March23

description: Mesolens image dataset from organoid 1
DOI: 10.35078/74ykex
title: Replication Data for: Ficha epidemiológica de localidade: Distrito: Teófilo Otoni| Município: Itaipé

description: Levantamento Triatomínico com operações de campo ocorridas em Minas Gerais pela Superintendência de Campanhas de Saúde Pública (SUCAM) e FUNASA (Fundação Nacional de Saúde), no período de 1979 a 1999, objetivando a busca da presença de vetores da doença de Chagas ou de vestígios dessa presença. A partir dela são orientadas as operações com inseticida (pt) Triatomine survey with field operations carried out in Minas Gerais by the Public Health Campaigns Superintendence (SUCAM) and FUNASA (National Health Foundation), from 1979 to 1999, aiming to search for the presence of Chagas disease vectors or traces of that presence. From it, operations with insecticide are guided (en) Encuesta de triatominos con operaciones de campo realizada en Minas Gerais por la Superintendencia de Campañas de Salud Pública (SUCAM) y FUNASA (Fundación Nacional de Salud), de 1979 a 1999, con el objetivo de buscar la presencia de vectores de la enfermedad de Chagas o rastros de esa presencia. Desde ella se orientan las operaciones con insecticida (es)
DOI: 10.5281/zenodo.7709082
title: FAFMIP forcing datasets used in MOM5 1-degree simulations

description: FAFMIP surface flux perturbations datasets (see http://www.fafmip.org/; Gregory <em>et al.</em>, 2016) interpolated on the MOM5 1-degree grid. Data are climatological monthly means in the netCDF format. The data variables in these files are dimensioned (longitude,latitude,time) in Fortran order, (time,latitude,longitude) in CDL. The time dimension has size 12, for months from January to December.
DOI: 10.5281/zenodo.7709081
title: FAFMIP forcing datasets used in MOM5 1-degree simulations

description: FAFMIP surface flux perturbations datasets (see http://www.fafmip.org/; Gregory <em>et al.</em>, 2016) interpolated on the MOM5 1-degree grid. Data are climatological monthly means in the netCDF format. The data variables in these files are dimensioned (longitude,latitude,time) in Fortran order, (time,latitude,longitude) in CDL. The time dimension has size 12, for months from January to December.
DOI: 10.25318/9810056301-eng
title: Long-form data quality indicators for ethnic or cultural origin, population group and religion: Canada, provinces and territories, census metropolitan areas, census agglomerations and census subdivisions

description: Data on long-form data quality indicators for 2021 Census ethnic or cultural origin, population group and religion content, Canada, provinces and territories, census metropolitan areas, census agglomerations and census subdivisions.
DOI: 10.25574/20902
title: Chandra X-ray Observatory ObsId 20902

description: Exploring anti-correlated radio/X-ray modes in transitional millisecond pulsars
DOI: 10.25318/9810056301-fra
title: Indicateurs de la qualité des données du questionnaire détaillé pour l'origine ethnique ou culturelle, le groupe de population et la religion : Canada, provinces et territoires, régions métropolitaines de recensement, agglomérations de recensement et subdivisions de recensement

description: Données sur les indicateurs de qualité des données du questionnaire détaillé pour le contenu sur l'origine ethnique ou culturelle, le groupe de population et la religion du Recensement de 2021, Canada, provinces et territoires, régions métropolitaines de recensement, agglomérations de recensement et subdivisions de recensement.
DOI: 10.5281/zenodo.5675767
title: Data set for «Short- and long-distance avian migrants differ in exercise endurance but not aerobic capacity"

description: Data set of body condition parameters and aerobic metabolic performances of four Old-world flycatcher species (<em>Muscicapidae</em>) during spring migration. The species differ in their migration strategies: European robins (<em>Erithacus rubecula</em>) and black redstarts (<em>Phoenicurus ochruros</em>) are short-distance migrants spending their entire annual cycle within the Palaearctic and some populations move from North African non-breeding grounds to breeding sites in continental Europe. In contrast, common redstarts (<em>P. phoenicurus</em>) and whinchats (<em>Saxicola rubetra</em>) are obligate long-distance migrants which overwinter in sub-Saharan Africa and migrate to Palaearctic breeding sites. We measured body condition and aerobic performances of birds at Ventotene islands - the first stopover site after crossing the Mediterranean Sea. The data set comprises the following parameters:<br> scieName: scientific name of study species: EriRub (European robin), PhoOch(black redstart), PhoPho (common redstart), SaxRub (whinchat)<br> spec: species code (1-4)<br> ring_ID: individual ring number<br> date: date of measurement<br> mig: migration strategy, 1- short-distance, 2 -long-distance<br> sex: 1-male, 2-female<br> fat: body fat scores (according EURING) (range: 1-6)<br> muscle: breast muscle score (according EURING) (range: 0-3)<br> Hb -haemoglobin concentration in peripheral blood (mg ml<sup>-1</sup>)<br> Infection - infection with haemosporidian parasites (0 - uninfected, 1 - infected)<br> body mass_RMR: body mass (g) before RMR measurement<br> body mass_MMR: body mass (g) before MMR measurement<br> RMR: minimum resting metabolic rate (min V̇O<sub>2</sub>, ml min<sup>-1</sup>)<br> mass-specRMR: mass-specific minimum resting metabolic rate (min V̇O<sub>2</sub>, ml (g min)<sup>-1</sup>)<br> MMR: maximum metabolic rate (max V̇O<sub>2</sub>, ml min<sup>-1</sup>)<br> mass-specMMR: mass-specific maximum metabolic rate (max V̇O<sub>2</sub>, ml (g min)<sup>-1</sup>)<br> TimeExhaust: time until exhaustion (min)
DOI: 10.5281/zenodo.5675766
title: Data set for «Short- and long-distance avian migrants differ in exercise endurance but not aerobic capacity"

description: Data set of body condition parameters and aerobic metabolic performances of four Old-world flycatcher species (<em>Muscicapidae</em>) during spring migration. The species differ in their migration strategies: European robins (<em>Erithacus rubecula</em>) and black redstarts (<em>Phoenicurus ochruros</em>) are short-distance migrants spending their entire annual cycle within the Palaearctic and some populations move from North African non-breeding grounds to breeding sites in continental Europe. In contrast, common redstarts (<em>P. phoenicurus</em>) and whinchats (<em>Saxicola rubetra</em>) are obligate long-distance migrants which overwinter in sub-Saharan Africa and migrate to Palaearctic breeding sites. We measured body condition and aerobic performances of birds at Ventotene islands - the first stopover site after crossing the Mediterranean Sea. The data set comprises the following parameters:<br> scieName: scientific name of study species: EriRub (European robin), PhoOch(black redstart), PhoPho (common redstart), SaxRub (whinchat)<br> spec: species code (1-4)<br> ring_ID: individual ring number<br> date: date of measurement<br> mig: migration strategy, 1- short-distance, 2 -long-distance<br> sex: 1-male, 2-female<br> fat: body fat scores (according EURING) (range: 1-6)<br> muscle: breast muscle score (according EURING) (range: 0-3)<br> Hb -haemoglobin concentration in peripheral blood (mg ml<sup>-1</sup>)<br> Infection - infection with haemosporidian parasites (0 - uninfected, 1 - infected)<br> body mass_RMR: body mass (g) before RMR measurement<br> body mass_MMR: body mass (g) before MMR measurement<br> RMR: minimum resting metabolic rate (min V̇O<sub>2</sub>, ml min<sup>-1</sup>)<br> mass-specRMR: mass-specific minimum resting metabolic rate (min V̇O<sub>2</sub>, ml (g min)<sup>-1</sup>)<br> MMR: maximum metabolic rate (max V̇O<sub>2</sub>, ml min<sup>-1</sup>)<br> mass-specMMR: mass-specific maximum metabolic rate (max V̇O<sub>2</sub>, ml (g min)<sup>-1</sup>)<br> TimeExhaust: time until exhaustion (min)
DOI: 10.25318/9810056401-eng
title: Long-form data quality indicators for ethnic or cultural origin, population group and religion: Canada, provinces and territories, census divisions and census subdivisions

description: Data on long-form data quality indicators for 2021 Census ethnic or cultural origin, population group and religion content, Canada, provinces and territories, census divisions and census subdivisions.
DOI: 10.25318/9810056401-fra
title: Indicateurs de la qualité des données du questionnaire détaillé pour l'origine ethnique ou culturelle, le groupe de population et la religion : Canada, provinces et territoires, divisions de recensement et subdivisions de recensement

description: Données sur les indicateurs de qualité des données du questionnaire détaillé pour le contenu sur l'origine ethnique ou culturelle, le groupe de population et la religion du Recensement de 2021, Canada, provinces et territoires, divisions de recensement et subdivisions de recensement.
DOI: 10.5519/qd.eduu7319
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (2919 records)
DOI: 10.5281/zenodo.6521939
title: Data set for «Short- and long-distance avian migrants differ in exercise endurance but not aerobic capacity"

description: Data set of body condition parameters and aerobic metabolic performances of four Old-world flycatcher species (<em>Muscicapidae</em>) during spring migration. The species differ in their migration strategies: European robins (<em>Erithacus rubecula</em>) and black redstarts (<em>Phoenicurus ochruros</em>) are short-distance migrants spending their entire annual cycle within the Palaearctic and some populations move from North African non-breeding grounds to breeding sites in continental Europe. In contrast, common redstarts (<em>P. phoenicurus</em>) and whinchats (<em>Saxicola rubetra</em>) are obligate long-distance migrants which overwinter in sub-Saharan Africa and migrate to Palaearctic breeding sites. We measured body condition and aerobic performances of birds at Ventotene islands - the first stopover site after crossing the Mediterranean Sea. The data set comprises the following parameters:<br> scieName: scientific name of study species: EriRub (European robin), PhoOch(black redstart), PhoPho (common redstart), SaxRub (whinchat)<br> spec: species code (1-4)<br> ring_ID: individual ring number<br> date: date of measurement<br> mig: migration strategy, 1- short-distance, 2 -long-distance<br> sex: 1-male, 2-female<br> fat: body fat scores (according EURING) (range: 1-6)<br> muscle: breast muscle score (according EURING) (range: 0-3)<br> Hb -haemoglobin concentration in peripheral blood (mg ml<sup>-1</sup>)<br> Infection - infection with haemosporidian parasites (0 - uninfected, 1 - infected)<br> body mass_RMR: body mass (g) before RMR measurement<br> body mass_MMR: body mass (g) before MMR measurement<br> RMR: minimum resting metabolic rate (min V̇O<sub>2</sub>, ml min<sup>-1</sup>)<br> mass-specRMR: mass-specific minimum resting metabolic rate (min V̇O<sub>2</sub>, ml (g min)<sup>-1</sup>)<br> MMR: maximum metabolic rate (max V̇O<sub>2</sub>, ml min<sup>-1</sup>)<br> mass-specMMR: mass-specific maximum metabolic rate (max V̇O<sub>2</sub>, ml (g min)<sup>-1</sup>)<br> TimeExhaust: time until exhaustion (min)
DOI: 10.25318/9810056501-eng
title: Long-form data quality indicators for mobility: Canada, provinces and territories, census metropolitan areas, census agglomerations and census subdivisions

description: Data on long-form data quality indicators for 2021 Census mobility content, Canada, provinces and territories, census metropolitan areas, census agglomerations and census subdivisions.
DOI: 10.25318/9810056501-fra
title: Indicateurs de qualité des données du questionnaire détaillé pour la mobilité : Canada, provinces et territoires, régions métropolitaines de recensement, agglomérations de recensement et subdivisions de recensement

description: Données sur les indicateurs de qualité des données du questionnaire détaillé pour le contenu sur la mobilité du Recensement de 2021, Canada, provinces et territoires, régions métropolitaines de recensement, agglomérations de recensement et subdivisions de recensement.
DOI: 10.25318/9810056601-eng
title: Long-form data quality indicators for mobility: Canada, provinces and territories, census divisions and census subdivisions

description: Data on long-form data quality indicators for 2021 Census mobility content, Canada, provinces and territories, census divisions and census subdivisions.
DOI: 10.25318/9810056601-fra
title: Indicateurs de qualité des données du questionnaire détaillé pour la mobilité : Canada, provinces et territoires, divisions de recensement et subdivisions de recensement

description: Données sur les indicateurs de qualité des données du questionnaire détaillé pour le contenu sur la mobilité du Recensement de 2021, Canada, provinces et territoires, divisions de recensement et subdivisions de recensement.
DOI: 10.25318/9810056701-eng
title: Long-form data quality indicators for education: Canada, provinces and territories, census metropolitan areas, census agglomerations and census subdivisions

description: Data on long-form data quality indicators for 2021 Census education content, Canada, provinces and territories, census metropolitan areas, census agglomerations and census subdivisions.
DOI: 10.5066/p9merskp
title: Mercury speciation and other constituent data for surface sediment and water associated with the South San Francisco Bay Salt Pond Restoration, 2010-18
DOI: 10.5281/zenodo.7709134
title: Adiar 1.1.0 : Experiment Data

description: Our experiments for <em>Adiar</em> v1.1 have tried to uncover the two separate questions described below. The code for the benchmarks can be found at https://github.com/SSoelvsten/bdd-benchmark. <strong>Alice: Has the performance of Adiar's BDDs changed after adding ZDDs?</strong> The machine <em>Alice</em> is a consumer-grade laptop. For these experiments, we have multiple times run four of our benchmarks both <strong>before</strong> and <strong>after</strong> adding the modularity. Specifically, we have run the <em>Queens</em> benchmark for <em>N=13</em> and <em>N=14</em> and the <em>Tic-Tac-Toe</em> benchmark for <em>N=22</em> and <em>N=23</em>. Specifically, we have run these benchmarks where the <em>Adiar</em> submodule was set to one of the following two commits: `<em>6db6c0cdc26ae290a187d50b3fbc74175b5b315f</em>` (Before adding the modularity) `<em>5a56cd743db9ee7bb24afc87be6ec76afea5fb9b</em>` (After adding the modularity) <strong>Grendel: How does Adiar's ZDDs compare to CUDD's?</strong> To this end, we have run all of our combinatorial benchmarks once more but with the newly added ZDD adapter's for Adiar and CUDD. These experiments were run on the computation nodes of the Grendel cluster (phys.au.dk/forskning/cscaa/).
DOI: 10.5281/zenodo.7709133
title: Adiar 1.1.0 : Experiment Data

description: Our experiments for <em>Adiar</em> v1.1 have tried to uncover the two separate questions described below. The code for the benchmarks can be found at https://github.com/SSoelvsten/bdd-benchmark. <strong>Alice: Has the performance of Adiar's BDDs changed after adding ZDDs?</strong> The machine <em>Alice</em> is a consumer-grade laptop. For these experiments, we have multiple times run four of our benchmarks both <strong>before</strong> and <strong>after</strong> adding the modularity. Specifically, we have run the <em>Queens</em> benchmark for <em>N=13</em> and <em>N=14</em> and the <em>Tic-Tac-Toe</em> benchmark for <em>N=22</em> and <em>N=23</em>. Specifically, we have run these benchmarks where the <em>Adiar</em> submodule was set to one of the following two commits: `<em>6db6c0cdc26ae290a187d50b3fbc74175b5b315f</em>` (Before adding the modularity) `<em>5a56cd743db9ee7bb24afc87be6ec76afea5fb9b</em>` (After adding the modularity) <strong>Grendel: How does Adiar's ZDDs compare to CUDD's?</strong> To this end, we have run all of our combinatorial benchmarks once more but with the newly added ZDD adapter's for Adiar and CUDD. These experiments were run on the computation nodes of the Grendel cluster (phys.au.dk/forskning/cscaa/).
DOI: 10.5066/f7hq3z3k
title: Mercury speciation and other constituent data from deep sediment cores in Alviso Slough, South San Francisco Bay, California, 2006-16

description: This dataset includes mercury and other constituent concentration and physical properties data for seven deep sediment profiles (ranging from 79 cm to 214 cm in length) collected from the thalwag of Alviso Slough, a major tributary to South San Francisco Bay (California, USA). Field sampling occurred during May 2012 (4 sites) and January 2016 (3 sites). Each profile was comprised of 1-4 core sub-sections, which were collected from adjacent boreholes with 10-18 cm of vertical overlap. This data product includes two data tables (*.csv): 1) 'T1_ALSL_DC_Sed_Data.csv', the deep core analytical results; 2) 'T2_ALSL_DC_QA_Data.csv', quality assurance data. The two image files, 'ALSL_DC_Log_2012.pdf' and 'ALSL-DC_Log_2016.pdf', provide photography of the 23 split core sections and complimentary multi-sensor core logger gamma density and magnetic susceptibility scans. The geospatial file, 'ALSL_DC_2012_2016.kmz', allows for the mapping of the sampling site locations in Google Earth.
DOI: 10.25318/9810056701-fra
title: Indicateurs de qualité des données du questionnaire détaillé pour la scolarité : Canada, provinces et territoires, régions métropolitaines de recensement, agglomérations de recensement et subdivisions de recensement

description: Données sur les indicateurs de qualité des données du questionnaire détaillé pour le contenu sur la scolarité du Recensement de 2021, Canada, provinces et territoires, régions métropolitaines de recensement, agglomérations de recensement et subdivisions de recensement.
DOI: 10.25318/9810056801-eng
title: Long-form data quality indicators for education: Canada, provinces and territories, census divisions and census subdivisions

description: Data on long-form data quality indicators for 2021 Census education content, Canada, provinces and territories, census divisions and census subdivisions.
DOI: 10.25318/9810056801-fra
title: Indicateurs de qualité des données du questionnaire détaillé pour la scolarité : Canada, provinces et territoires, divisions de recensement et subdivisions de recensement

description: Données sur les indicateurs de qualité des données du questionnaire détaillé pour le contenu sur la scolarité du Recensement de 2021, Canada, provinces et territoires, divisions de recensement et subdivisions de recensement.
DOI: 10.25318/9810056901-eng
title: Long-form data quality indicators for labour: Canada, provinces and territories, census metropolitan areas, census agglomerations and census subdivisions

description: Data on long-form data quality indicators for 2021 Census labour content, Canada, provinces and territories, census metropolitan areas, census agglomerations and census subdivisions.
DOI: 10.25318/9810056901-fra
title: Indicateurs de qualité des données du questionnaire détaillé pour le travail : Canada, provinces et territoires, régions métropolitaines de recensement, agglomérations de recensement et subdivisions de recensement

description: Données sur les indicateurs de qualité des données du questionnaire détaillé pour le contenu sur le travail du Recensement de 2021, Canada, provinces et territoires, régions métropolitaines de recensement, agglomérations de recensement et subdivisions de recensement.
DOI: 10.5281/zenodo.7709147
title: Clima Escolar & Prevenção da Violência em Ambiente Universitário: entre prevenção e promoção de culturas de paz

description: The study is based on several interpretative categories inspired by sociological paradigms that allow us to interpret the external conditioning factors of violence (in a structural perspective), as well as those found in the attitudes, values, and beliefs in people's daily lives (cultural perspective). The research objectives are to investigate the quality commitment of professor-student and student-student relationships, as well as that of the institution and its representatives with these two social actors. Reference here is made not so much physical violence, but rather symbolic violence. The methodology involves interviewing students and professors from two universities: one Italian and one Brazilian. The results point to the presence of forms of violence in the academic life of both institutions in the three subject areas, and in general these are expressed in a rather veiled way, especially in the form of symbolic violence.