cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.15098463.v4
title: A long-term follow-up study in hereditary ATTRG83R amyloidosis

description: <b>Background: </b>Hereditary ATTRG83R (<i>p.TTRG103R</i>) amyloidosis is an autosomal dominant disease with limited diagnosis. Long-term data on clinical follow-up and treatment efficacy are limited due to the low frequency of the disease. We evaluated a hereditary ATTRG83R amyloidosis kindred during a 15-year follow-up period.<b>Methods:</b> The clinical data of patients with hereditary ATTRG83R amyloidosis from 2006 to 2021 were analyzed retrospectively.<b> </b>Sanger sequencing of the transthyretin gene, detailed history, pedigree charting, and systemic and ophthalmic examinations was carried out in all patients. Analyze the changes of best-corrected visual acuity (BCVA) after vitrectomy and the associations of amyloidosis recurrence and post-vitrectomy glaucoma.<b>Results:</b> Fourteen patients with ATTRG83R were included, all of whom presented with vision loss following vitreous opacities. The mean age of onset was 40.93±6.96 (29 to 52) years. The mean preoperative BCVA was 2.20±0.69 logarithm of the minimum angle of resolution (logMAR), whereas the postoperative BCVA improved to 0.13±0.35 logMAR (<i>P</i>&lt;0.05). The recurrence time was 58.83±20.85 months after vitrectomy. At 90 months after vitrectomy, the cumulative recurrence rate was 94.7%. Eight eyes developed glaucoma after vitrectomy. None of the 5 eyes without vitrectomy developed glaucoma. Paired chi-square test showed a significant difference in the incidence rate of glaucoma between eyes with or without vitrectomy (<i>P</i>&lt;0.05). However, retinal amyloid angiopathy and cataract surgery were not associated with glaucoma (<i>P</i>&gt;0.05). Poor intraocular pressure control in 7 eyes caused severe visual impairment.<b>Conclusions: </b>Hereditary ATTRG83R amyloidosis is mainly manifested by vitreous opacity, and vitrectomy can improve the vision of patients with this disease. However, the amyloidosis recurrence and complications seriously affect the long-term visual prognosis. Therefore, it is recommended to appropriately delay the time of vitrectomy and adhere to regular follow-up.
DOI: 10.25318/9810042101-eng
title: High school completion by Indigenous identity and labour force status: Canada, provinces and territories, census metropolitan areas and census agglomerations with parts

description: Data on Indigenous populations with high school diploma or equivalency certificate, and combinations of high school and trades/college credentials, for cities.
DOI: 10.25318/9810042101-fra
title: Obtention d’un diplôme d’études secondaires, selon l’identité autochtone et la situation d’activité : Canada, provinces et territoires, régions métropolitaines de recensement et agglomérations de recensement y compris les parties
DOI: 10.25318/9810042401-eng
title: Highest level of education by Indigenous identity and labour force status: Canada, provinces and territories, census metropolitan areas and census agglomerations with parts

description: Employment, unemployment and labour force participation rates of Indigenous populations by educational characteristics, for cities.
DOI: 10.25318/9810042401-fra
title: Plus haut niveau de scolarité, selon l’identité autochtone et la situation d’activité : Canada, provinces et territoires, régions métropolitaines de recensement et agglomérations de recensement y compris les parties

description: Taux d’emploi, de chômage et d’activité des populations autochtones selon les caractéristiques relatives à la scolarité, pour les villes.
DOI: 10.25318/9810042801-eng
title: Employment income statistics by Indigenous identity and highest level of education: Canada, provinces and territories, census divisions and census subdivisions

description: Employment income of Indigenous populations by educational characteristics, for census divisions and municipalities.
DOI: 10.25318/9810042801-fra
title: Statistiques du revenu d’emploi, selon l’identité autochtone et le plus haut niveau de scolarité : Canada, provinces et territoires, divisions de recensement et subdivisions de recensement

description: Revenu d’emploi des populations autochtones selon les caractéristiques relatives à la scolarité, pour les divisions de recensement et les municipalités.
DOI: 10.25318/9810058701-eng
title: Employment income statistics by occupation minor group, Indigenous identity, highest level of education, work activity during the reference year, age and gender: Canada, provinces and territories and census metropolitan areas with parts

description: Data on employment income statistics by occupation minor group (4-digit code) from the National Occupational Classification (NOC) 2021, Indigenous identity, highest level of education, work activity during the reference year, age and gender, for the population aged 15 years and over who reported weeks worked and employment income in 2020, in private households in Canada, provinces and territories and census metropolitan areas with parts.
DOI: 10.6084/m9.figshare.23818176
title: 20230802_starrydata2

description: All data on Starrydata2, a database of experimental properties in the field of inorganic materials
DOI: 10.6084/m9.figshare.23818176.v1
title: 20230802_starrydata2

description: All data on Starrydata2, a database of experimental properties in the field of inorganic materials
DOI: 10.25318/9810058701-fra
title: Statistiques du revenu d'emploi selon le sous-groupe des professions, l’identité autochtone, le plus haut niveau de scolarité, le travail pendant l’année de référence, l’âge et le genre : Canada, provinces et territoires et régions métropolitaines de recensement y compris les parties

description: Données sur les statistiques du revenu d’emploi selon le sous-groupe des professions (code à 4 chiffres) de la Classification nationale des professions (CNP) de 2021, l’identité autochtone, le plus haut niveau de scolarité, le travail pendant l’année de référence, l’âge et le genre pour la population âgée de 15 ans et plus ayant déclaré des semaines travaillées et un revenu d'emploi en 2020 dans les ménages privés au Canada, provinces et territoires et régions métropolitaines de recensement y compris les parties.
DOI: 10.25318/9810058801-eng
title: Employment income statistics by industry sectors, Indigenous identity, highest level of education, work activity during the reference year, age and gender: Canada, provinces and territories, census metropolitan areas and census agglomerations with parts

description: Data on employment income statistics by industry sectors (2-digit code) from the North American Industry Classification System (NAICS) 2017, Indigenous identity, highest level of education, work activity during the reference year, age and gender, for the population aged 15 years and over who reported weeks worked and employment income in 2020 in private households in Canada, provinces and territories, census metropolitan areas and census agglomerations with parts.
DOI: 10.25318/9810058801-fra
title: Statistiques du revenu d'emploi selon les secteurs d'industries, l’identité autochtone, le plus haut niveau de scolarité, le travail pendant l’année de référence, l’âge et le genre : Canada, provinces et territoires, régions métropolitaines de recensement et agglomérations de recensement y compris les parties

description: Données sur les statistiques du revenu d’emploi selon les secteurs d'industries (code à 2 chiffres) du Système de classification des industries de l’Amérique du Nord (SCIAN) de 2017, l’identité autochtone, le plus haut niveau de scolarité, le travail pendant l’année de référence, l’âge et le genre pour la population âgée de 15 ans et plus ayant déclaré des semaines travaillées et un revenu d'emploi en 2020 dans les ménages privés au Canada, province et territoires, régions métropolitaines de recensement et agglomérations de recensement y compris les parties.
DOI: 10.6084/m9.figshare.23735745
title: Multi-period crew scheduling for the regular round trips in the road freight transportation: computational studies dataset

description: As described in paper "Multi-period crew scheduling for the regular round trips in the road freight transportation", one of the possible approaches to manage with crew scheduling problem for regular trips is the arc flow formulation. The goal is to find the minimum number of drivers serving given routes, taking into account all restrictions. In order to formulate a mathematical model, the information on intercity transportation (hereinafter — scenario) is required: Distances - a partition of the entire route into segments of a specific duration in hours, taking into account the restriction on one work shift. Crew size - a number of drivers necessary to serve each part of the route. Departures forward - departure time in forward direction for each part of the route. Departures backward - departure time in backward direction for each part of the route.
DOI: 10.25318/9810058901-eng
title: Occupation (STEM and non-STEM) by industry sectors, Indigenous identity, employment income statistics, occupation (training, education, experience and responsibility category - TEER), age and gender: Canada, provinces and territories

description: Data on occupation (STEM and non-STEM) by industry sectors (2-digit code) from the North American Industry Classification System (NAICS) 2017, Indigenous identity, employment income statistics, occupation TEER (Training, Education, Experience and Responsibility) category, age and gender, for the population aged 15 years and over who worked at some time since January 1, 2020 in Canada, provinces and territories.
DOI: 10.25318/9810058901-fra
title: Profession (STIM et autre que STIM) selon les secteurs d’industries, l’identité autochtone, les statistiques du revenu d’emploi, la profession (catégorie de formation, étude, expérience et responsabilités - FEER), l’âge et le genre : Canada, provinces et territoires

description: Données sur la profession (STIM et autre que STIM) selon les secteurs d'industries (code à 2 chiffres) du Système de classification des industries de l’Amérique du Nord (SCIAN) de 2017, l’identité autochtone, les statistiques du revenu d’emploi, la catégorie de FEER (formation, étude, expérience et responsabilités), l’âge et le genre pour les personnes âgées de 15 ans et plus qui ont travaillé à un moment quelconque depuis le 1er janvier 2020 au Canada, provinces et territoires.
DOI: 10.25318/9810061501-eng
title: First official language spoken by labour force status, highest level of education and immigrant status and period of immigration: Canada, provinces and territories, census metropolitan areas and census agglomerations with parts

description: Data on first official language spoken by labour force status, highest certificate, diploma or degree, immigrant status and period of immigration, age and gender for the population aged 15 years and over in private households of Canada, provinces and territories, census metropolitan areas and census agglomerations with parts.
DOI: 10.5281/zenodo.8205113
title: Zebrafish Brain Vasculature and EC Nuclei 3dpf Light-Sheet (For StarDist)

description: Small dataset of the zebrafish brain vasculature and endothelial cell nuclei acquired at 3 days post fertilization (dpf) with a Zeiss Z.2 light-sheet microscope. Transgenic reporter lines used: blood vessels <em>Tg(kdrl:HRAS-mCherry)</em><sup><em>s916</em></sup> labels EC membrane (Chi et al., 2008) and EC nuclei <em>Tg(kdr:nls-eGFP)</em><sup><em>zf109</em></sup> labels EC nuclei (Blum et al., 2008). Data were acquired by Elisabeth Kugler in 2018 at the University of Sheffield conforming to UK Home Office regulations and were performed under Home Office Project Licence 70/8588 held by TJAC. - Data are part of the publication: Kugler et al., 2019 as well as Dr Kugler's thesis. Dataset consists only of 3 samples and is used as a sample dataset to train students on StarDist (https://github.com/stardist/; Schmidt, et al. 2018; Weigert, et al. 2020). Image Acquisition Details:<br> Datasets in Sheffield were obtained using a Zeiss Z.1 light sheet microscope with a water-dipping detection objective (Plan-Apochromat 20×/1.0 Corr nd = 1.38) and a scientific complementary metal-oxide semiconductor (sCMOS) detection unit. Data were acquired with activated pivot scan, dual-sided illumination and online fusion; properties of acquired data are as follows: 0.7× zoom, 16bit image depth, 1,920 × 1,920px image size and minimum z-stack interval (approx. 0.33 × 0.33× 0.5 μm). Green and red fluorophores were excited using 488 nm and 561 nm laser, respectively. Used filters in sequential tracks for multi-colour images were LP560 for both and BP505-545 and LP585, respectively. Samples were embedded in 1% or 2% LMP-agarose containing 200 mg/l Tricaine (MS-222, Sigma). The image acquisition chamber was filled with E3 plus Tricaine (200 mg/ml) and maintained at 28°C.
DOI: 10.5281/zenodo.8205112
title: Zebrafish Brain Vasculature and EC Nuclei 3dpf Light-Sheet (For StarDist)

description: Small dataset of the zebrafish brain vasculature and endothelial cell nuclei acquired at 3 days post fertilization (dpf) with a Zeiss Z.2 light-sheet microscope. Transgenic reporter lines used: blood vessels <em>Tg(kdrl:HRAS-mCherry)</em><sup><em>s916</em></sup> labels EC membrane (Chi et al., 2008) and EC nuclei <em>Tg(kdr:nls-eGFP)</em><sup><em>zf109</em></sup> labels EC nuclei (Blum et al., 2008). Data were acquired by Elisabeth Kugler in 2018 at the University of Sheffield conforming to UK Home Office regulations and were performed under Home Office Project Licence 70/8588 held by TJAC. - Data are part of the publication: Kugler et al., 2019 as well as Dr Kugler's thesis. Dataset consists only of 3 samples and is used as a sample dataset to train students on StarDist (https://github.com/stardist/; Schmidt, et al. 2018; Weigert, et al. 2020). Image Acquisition Details:<br> Datasets in Sheffield were obtained using a Zeiss Z.1 light sheet microscope with a water-dipping detection objective (Plan-Apochromat 20×/1.0 Corr nd = 1.38) and a scientific complementary metal-oxide semiconductor (sCMOS) detection unit. Data were acquired with activated pivot scan, dual-sided illumination and online fusion; properties of acquired data are as follows: 0.7× zoom, 16bit image depth, 1,920 × 1,920px image size and minimum z-stack interval (approx. 0.33 × 0.33× 0.5 μm). Green and red fluorophores were excited using 488 nm and 561 nm laser, respectively. Used filters in sequential tracks for multi-colour images were LP560 for both and BP505-545 and LP585, respectively. Samples were embedded in 1% or 2% LMP-agarose containing 200 mg/l Tricaine (MS-222, Sigma). The image acquisition chamber was filled with E3 plus Tricaine (200 mg/ml) and maintained at 28°C.
DOI: 10.25318/9810061501-fra
title: Première langue officielle parlée selon la situation d'activité, le plus haut niveau de scolarité et le statut d'immigrant et la période d'immigration : Canada, provinces et territoires, régions métropolitaines de recensement et agglomérations de recensement y compris les parties

description: Données sur la première langue officielle parlée selon la situation d'activité, le plus haut certificat, diplôme ou grade, le statut d'immigrant et la période d'immigration, l'âge et le genre pour la population âgée 15 ans et plus dans les ménages privés au Canada, dans les provinces et territoires, les régions métropolitaines de recensement, les agglomérations de recensement et les parties.
DOI: 10.5281/zenodo.7863825
title: BEING A TREE CROP INCREASES THE ODDS OF EXPERIENCING YIELD DECLINES IRRESPECTIVE OF POLLINATOR DEPENDENCE

description: Marcelo A. Aizen, Gabriela R. Gleiser, Thomas Kitzberger, Ruben Milla. <strong>Being a tree crop increases the odds of experiencing yield declines irrespective of pollinator dependence </strong>(to be submitted to PCI) Data and R scripts to reproduce the analyses and the figures shown in the paper. All analyses were performed using R 4.0.2. <strong>Data</strong> 1. FAOdata_21-12-2021.csv This file includes yearly data (1961-2020, column 8) on yield and cultivated area (columns 6 and 10) at the country, sub-regional, and regional levels (column 2) for each crop (column 4) drawn from the United Nations Food and Agriculture Organization database (data available at http://www.fao.org/faostat/en; accessed July 21-12-2021). [Used in Script 1 to generate the synthesis dataset] 2. countries.csv This file provides information on the region (column 2) to which each country (column 1) belongs. [Used in Script 1 to generate the synthesis dataset] 3. dependence.csv This file provides information on the pollinator dependence category (column 2) of each crop (column 1). 4. traits.csv This file provides information on the traits of each crop other than pollinator dependence, including, besides the crop name (column1), the variables type of harvested organ (column 5) and growth form (column 6). [Used in Script 1 to generate the synthesis dataset] 5. dataset.csv The synthesis dataset generated by Script 1. 6. growth.csv The yield growth dataset generated by Script 1 and used as input by Scripts 2 and 3. 7. phylonames.csv This file lists all the crops (column 1) and their equivalent tip names in the crop phylogeny (column 2). [Used in Script 2 for the phylogenetically-controlled analyses] 8.phylo137.tre File containing the phylogenetic tree. <strong>Scripts</strong> 1. dataset This R script curates and merges all the individual datasets mentioned above into a single dataset, estimating and adding to this single dataset the growth rate for each crop and country, and the (log) cumulative harvested area per crop and country over the period 1961-2020. 2. analyses This R script includes all the analyses described in the article’s main text. 3. figures This R script creates all the main and supplementary figures of this article. 4. lme4_phylo_setup R function written by Li and Bolker (2019) to carry out phylogenetically-controlled generalized linear mixed-effects models as described in the main text of the article. <strong>References</strong> Li, M., and B. Bolker. 2019. wzmli/phyloglmm: First release of phylogenetic comparative analysis in lme4- verse. Zenodo. https://doi.org/10.5281/zenodo.2639887.
DOI: 10.5281/zenodo.7560185
title: AndroLibZoo

description: # AndroLibZoo This repository hosts the AndroLibZoo dataset and the artifacts used in our study on Android libraries. ## Artifacts The <code>artifacts</code> folder contains all the artifacts, i.e., datasets, scripts, results, source code, etc., to reproduce our study and produce AndroLibZoo. The file <code>AndroLibZoo.lst</code> is our dataset. The subfolders in <code>artifacts</code> are as follows: The <code>motivation</code> folder contains all artifacts related to our motivation study (i.e., Section 3). The <code>methodology</code> folder contains all artifacts related to our methodology (i.e., Section 4). In particular, we present: How we gather libraries from Maven How we gather libraries from Google How we gather transitive dependencies How we gather libraries from open source apps How we gather libraries from Gradle plugin libraries How we refined our list of libraries. The <code>description</code> folder contains the artifacts useful to describe our dataset (i.e., Section 5). The <code>comparison</code> folder holds the artifacts useful to compare our dataset with the state of the art (i.e., Section 6.a). The <code>importance</code> folder holds the artifacts useful to highlight the importance of our AndroLibZoo to filter libraries for static analysis of Android apps (i.e., Section 6.b). The <code>evaluation</code> folder holds the artifacts useful to show how AndroLibZoo improves existing static analyzers (i.e., Section 6.c). All folders contain scripts that start with "XX_", with XX being a number that represents the order in which scripts need to be executed. Some of the scripts need to be parametrized with names of servers, AndroZoo API keys, prefixes for Redis server, etc.
DOI: 10.5281/zenodo.7902882
title: AndroLibZoo

description: # AndroLibZoo This repository hosts the AndroLibZoo dataset and the artifacts used in our study on Android libraries. ## Artifacts The <code>artifacts</code> folder contains all the artifacts, i.e., datasets, scripts, results, source code, etc., to reproduce our study and produce AndroLibZoo. The file <code>AndroLibZoo.lst</code> is our dataset. The subfolders in <code>artifacts</code> are as follows: The <code>motivation</code> folder contains all artifacts related to our motivation study (i.e., Section 3). The <code>methodology</code> folder contains all artifacts related to our methodology (i.e., Section 4). In particular, we present: How we gather libraries from Maven How we gather libraries from Google How we gather transitive dependencies How we gather libraries from open source apps How we gather libraries from Gradle plugin libraries How we refined our list of libraries. The <code>description</code> folder contains the artifacts useful to describe our dataset (i.e., Section 5). The <code>comparison</code> folder holds the artifacts useful to compare our dataset with the state of the art (i.e., Section 6.a). The <code>importance</code> folder holds the artifacts useful to highlight the importance of our AndroLibZoo to filter libraries for static analysis of Android apps (i.e., Section 6.b). The <code>evaluation</code> folder holds the artifacts useful to show how AndroLibZoo improves existing static analyzers (i.e., Section 6.c). All folders contain scripts that start with "XX_", with XX being a number that represents the order in which scripts need to be executed. Some of the scripts need to be parametrized with names of servers, AndroZoo API keys, prefixes for Redis server, etc.
DOI: 10.5281/zenodo.7560184
title: AndroLibZoo

description: # AndroLibZoo This repository hosts the AndroLibZoo dataset and the artifacts used in our study on Android libraries. ## Artifacts The <code>artifacts</code> folder contains all the artifacts, i.e., datasets, scripts, results, source code, etc., to reproduce our study and produce AndroLibZoo. The file <code>AndroLibZoo.lst</code> is our dataset. The subfolders in <code>artifacts</code> are as follows: The <code>motivation</code> folder contains all artifacts related to our motivation study (i.e., Section 3). The <code>methodology</code> folder contains all artifacts related to our methodology (i.e., Section 4). In particular, we present: How we gather libraries from Maven How we gather libraries from Google How we gather transitive dependencies How we gather libraries from open source apps How we gather libraries from Gradle plugin libraries How we refined our list of libraries. The <code>description</code> folder contains the artifacts useful to describe our dataset (i.e., Section 5). The <code>comparison</code> folder holds the artifacts useful to compare our dataset with the state of the art (i.e., Section 6.a). The <code>importance</code> folder holds the artifacts useful to highlight the importance of our AndroLibZoo to filter libraries for static analysis of Android apps (i.e., Section 6.b). The <code>evaluation</code> folder holds the artifacts useful to show how AndroLibZoo improves existing static analyzers (i.e., Section 6.c). All folders contain scripts that start with "XX_", with XX being a number that represents the order in which scripts need to be executed. Some of the scripts need to be parametrized with names of servers, AndroZoo API keys, prefixes for Redis server, etc.