cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.35078/3yrdwk
title: Replication Data for: Ficha epidemiológica de localidade: Distrito: Caratinga | Município: Sericita

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.7871200
title: desmognathus_monticola_decontaminated_gx.fasta.gz

description: .
DOI: 10.5281/zenodo.7871199
title: desmognathus_monticola_decontaminated_gx.fasta.gz

description: .
DOI: 10.5281/zenodo.7871206
title: desmognathus_ochrophaeus_decontaminated_gx.fasta.gz

description: .
DOI: 10.5281/zenodo.7871205
title: desmognathus_ochrophaeus_decontaminated_gx.fasta.gz

description: .
DOI: 10.5281/zenodo.7750148
title: Mars Environmental Chamber Dataset

description: Dataset for the article titled "Thermal Vision for Soil Assessment in a Multipurpose Environmental Chamber under Martian Conditions towards Robot Navigation".
DOI: 10.5281/zenodo.7750147
title: Mars Environmental Chamber Dataset

description: Dataset for the article titled "Thermal Vision for Soil Assessment in a Multipurpose Environmental Chamber under Martian Conditions towards Robot Navigation".
DOI: 10.5281/zenodo.7871208
title: desmognathus_ocoee_decontaminated_gx.fasta.gz

description: .
DOI: 10.5281/zenodo.7871207
title: desmognathus_ocoee_decontaminated_gx.fasta.gz

description: .
DOI: 10.5281/zenodo.7871210
title: desmognathus_orestes_decontaminated_gx.fasta.gz

description: .
DOI: 10.5281/zenodo.7871209
title: desmognathus_orestes_decontaminated_gx.fasta.gz

description: .
DOI: 10.6084/m9.figshare.22186960
title: Quantitative Dataset for Second-order Analysis

description: Data collected from 626 postgraduate students from a research university in Malaysia. It is used for second-order analysis PLS-SEM. The participation of all students was completely voluntary. Consent was obtained prior to the collection data.
DOI: 10.5281/zenodo.7871214
title: desmognathus_organi_decontaminated_gx.fasta.gz

description: .
DOI: 10.5281/zenodo.7871213
title: desmognathus_organi_decontaminated_gx.fasta.gz

description: .
DOI: 10.35078/lwgfuk
title: Replication Data for: Ficha epidemiológica de localidade: Distrito: Caratinga | Município: Alvarenga

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: 10.2908/sdg_04_31
title: Participation in early childhood education by sex (children aged 3 and over)
title: Participation à l'enseignement préscolaire par sexe (enfants agés de 3 et plus)
title: Teilnahme an Vorschulbildung nach Geschlecht (Kinder im Alter von 3 und mehr)

description: Der Indikator misst den Anteil der Kinder zwischen dem dritten Lebensjahr und dem Anfangsalter der Grundschulpflicht, die an frühkindliche Betreuung, Bildung und Erziehung (FBBE) teilgenommen haben, die gemäß der Internationalen Standardklassifikation für Bildung (ISCED 2011) als ISCED-Stufe 0 eingestuft werden kann. Damit die FBBE-Programme als ISCED-Stufe 0 eingestuft werden können, müssen sie bewusst so konzipiert sein, dass sie die kognitive, physische und sozioemotionale Entwicklung eines Kindes unterstützen. Das Anfangsalter der obligatorischen Grundschulbildung ist von Land zu Land unterschiedlich. Die Teilnahme von Kindern an Programmen, die nicht bewusst zur Förderung der Entwicklung von Kindern konzipiert sind (z. B. Programme zur Kinderbetreuung), ist in diesem Indikator nicht enthalten.
description: The indicator measures the share of the children between the age of three and the starting age of compulsory primary education who participated in early childhood education and care (ECEC) which can be classified as ISCED level 0 according to the International Standard Classification for Education (ISCED 2011). In order for ECEC programmes to be classified as ISCED level 0, they must be intentionally designed to support a child’s cognitive, physical and socio-emotional development. The starting age of compulsory primary education varies across countries. The participation of children in programmes which are not intentionally designed to support child development (such as childcare-only programmes) is not included in this indicator.
description: L'indicateur mesure la part des enfants entre l'âge de trois ans et l'âge de début de l'enseignement primaire obligatoire qui ont participé à l'éducation et à l'accueil de la petite enfance (ECEC) pouvant être classés au niveau 0 de la CITE selon la Classification Internationale Type de l'Éducation (CITE 2011).Pour que les programmes ECEC soient classés au niveau 0 de la CITE, ils doivent être intentionnellement conçus pour soutenir le développement cognitif, physique et socio-émotionnel d'un enfant. L'âge de début de l'enseignement primaire obligatoire varie selon les pays. La participation des enfants à des programmes qui ne sont pas intentionnellement conçus pour soutenir le développement de l'enfant (tels que les programmes de garde d'enfants uniquement) n'est pas incluse dans cet indicateur.
DOI: 10.5281/zenodo.7338904
title: Dataset for nonlinear dynamic analysis to quantify workload in pedaling

description: The dataset contains raw data and the data underlying the figures and tables of the following research article: "Quantifying workload using nonlinear dynamical measures of biomechanical parameters during cycling on a roller trainer" Journal: PLOS ONE Manuscript Nr: PONE-D-22-23944
DOI: 10.5281/zenodo.7338903
title: Dataset for nonlinear dynamic analysis to quantify workload in pedaling

description: The dataset contains raw data and the data underlying the figures and tables of the following research article: "Quantifying workload using nonlinear dynamical measures of biomechanical parameters during cycling on a roller trainer" Journal: PLOS ONE Manuscript Nr: PONE-D-22-23944
DOI: 10.5281/zenodo.7871243
title: desmognathus_marmoratus_decontaminated_gx.fasta.gz

description: .
DOI: 10.5281/zenodo.7871242
title: desmognathus_marmoratus_decontaminated_gx.fasta.gz

description: .
DOI: 10.25500/edata.bham.00000943
title: Research data supporting the publication "From their point of view: the article category as a hierarchically structured referent tracking system"

description: Data derived from the processing of British National Corpus (BNC) data collections: Leech, G. (1992). 100 million words of English: the British National Corpus (BNC). Language research, 28(1), 1-13. BNC Consortium (2001). The British National Corpus, version 2 (BNC World). Distributed by Oxford University Computing Services on behalf of the BNC Consortium. URL: http://www.natcorp.ox.ac.uk/.
DOI: 10.5281/zenodo.7871252
title: desmognathus_pascagoula_decontaminated_gx.fasta.gz

description: .
DOI: 10.5281/zenodo.7871251
title: desmognathus_pascagoula_decontaminated_gx.fasta.gz

description: .
DOI: 10.34740/kaggle/dsv/5540235
title: Diferente clase de motos
DOI: 10.5281/zenodo.7871254
title: desmognathus_santeetlah_decontaminated_gx.fasta.gz

description: .
DOI: 10.5281/zenodo.7871253
title: desmognathus_santeetlah_decontaminated_gx.fasta.gz

description: .
DOI: 10.6084/m9.figshare.16832518.v1
title: Single-cell dissection of aggression in honeybee colonies

description: Understanding how genotypic variation results in phenotypic variation is especially difficult for collective behaviour because group phenotypes arise from complex interactions among group members. A genome-wide association study identified hundreds of genes associated with colony-level variation in honeybee aggression, many of which also showed strong signals of positive selection, but the influence of these ‘colony aggression genes’ on brain function was unknown. Here, we use single-cell (sc) transcriptomics and gene regulatory network (GRN) analyses to test the hypothesis that genetic variation for colony aggression influences individual differences in brain gene expression and/or gene regulation. We compared soldiers, which respond to territorial intrusion with stinging attacks, and foragers, which do not. Colony environment showed stronger influences on soldier-forager differences in brain gene regulation compared to brain gene expression. GRN plasticity was strongly associated with colony aggression, with larger differences in GRN dynamics detected between soldiers and foragers from more aggressive relative to less aggressive colonies. The regulatory dynamics of subnetworks composed of genes associated with colony aggression genes were more strongly correlated with each other across different cell types and brain regions relative to other genes, especially in brain regions involved with olfaction and vision and multimodal sensory integration, which are known to mediate bee aggression. These results show how group genetics can shape a collective phenotype by modulating individual brain gene regulatory network architecture.
DOI: 10.5281/zenodo.7871257
title: desmognathus_valentinei_decontaminated_gx.fasta.gz

description: .
DOI: 10.6084/m9.figshare.20722396
title: Replication Package for "Automatically Generating Dockerfiles via Deep Learning: Challenges and Promises"

description: Containerization allows developers to define the execution environment in which their software needs to be installed. Docker is the leading platform in this field, and developers that use it are required to write a Dockerfile for their software. Writing Dockerfiles is far from trivial, especially when the system has unusual requirements for its execution environment. Despite several tools exist to support developers in writing Dockerfiles, none of them is able to generate entire Dockerfiles from scratch given a high-level specification of the requirements of the execution environment. In this paper, we present a study in which we aim at understanding to what extent Deep Learning (DL), which has been proven successful for other coding tasks, can be used for this specific coding task. We preliminarily defined a structured natural language specification for Dockerfile requirements and a methodology that we use to automatically infer the requirements from the largest dataset of Dockerfiles currently available. We used the obtained dataset, with 670,982 instances, to train and test a Text-to-Text Transfer Transformer (T5) model, following the current state-of-the-art procedure for coding tasks, to automatically generate Dockerfiles from the structured specifications. The results of our evaluation show that T5 performs similarly to the more trivial IR- based baselines we considered. We also summarize the open challenges associated with the application of deep learning in the context of Docker file generation.
DOI: 10.6084/m9.figshare.20722396.v1
title: Replication Package for "Automatically Generating Dockerfiles via Deep-Learning: Challenges and Promises"

description: Replication Package for "Automatically Generating Dockerfiles via Deep-Learning: Challenges and Promises"
DOI: 10.6084/m9.figshare.20722396.v2
title: Replication Package for "Automatically Generating Dockerfiles via Deep Learning: Challenges and Promises"

description: Containerization allows developers to define the execution environment in which their software needs to be installed. Docker is the leading platform in this field, and developers that use it are required to write a Dockerfile for their software. Writing Dockerfiles is far from trivial, especially when the system has unusual requirements for its execution environment. Despite several tools exist to support developers in writing Dockerfiles, none of them is able to generate entire Dockerfiles from scratch given a high-level specification of the requirements of the execution environment. In this paper, we present a study in which we aim at understanding to what extent Deep Learning (DL), which has been proven successful for other coding tasks, can be used for this specific coding task. We preliminarily defined a structured natural language specification for Dockerfile requirements and a methodology that we use to automatically infer the requirements from the largest dataset of Dockerfiles currently available. We used the obtained dataset, with 670,982 instances, to train and test a Text-to-Text Transfer Transformer (T5) model, following the current state-of-the-art procedure for coding tasks, to automatically generate Dockerfiles from the structured specifications. The results of our evaluation show that T5 performs similarly to the more trivial IR- based baselines we considered. We also summarize the open challenges associated with the application of deep learning in the context of Docker file generation.
DOI: 10.5281/zenodo.7871256
title: desmognathus_valentinei_decontaminated_gx.fasta.gz

description: .
DOI: 10.5281/zenodo.7871261
title: desmognathus_welteri_decontaminated_gx.fasta.gz

description: .
DOI: 10.5281/zenodo.7871260
title: desmognathus_welteri_decontaminated_gx.fasta.gz

description: .
DOI: 10.5281/zenodo.7871266
title: desmognathus_wrighti_decontaminated_gx.fasta.gz

description: .
DOI: 10.5281/zenodo.7871265
title: desmognathus_wrighti_decontaminated_gx.fasta.gz

description: .
DOI: 10.5281/zenodo.7871317
title: Historical weather data

description: Historical weather data for model training. Weather data from 4 locations taken from the local stations of the project pilots with the following attributes: atmospheric pressure, dew point, illuminance, precipitation, pressure tendency, relative humidity, temperature, wind direction, wind speed
DOI: 10.5281/zenodo.7871316
title: Historical weather data

description: Historical weather data for model training. Weather data from 4 locations taken from the local stations of the project pilots with the following attributes: atmospheric pressure, dew point, illuminance, precipitation, pressure tendency, relative humidity, temperature, wind direction, wind speed
DOI: 10.6084/m9.figshare.22709227
title: Data for habitat suitability analysis

description: Today, in addition to the destruction and fragmentation of the world's habitats, the invasive species and the damage caused by them, are one of the most important factors in the destruction of ecosystems. Raccoon <em>(Procyon lotor</em>) is a medium-sized mammal that is placed in mid-levels of the food chain and can affect a wide range of species. Considering the damage done to local ecosystems by this invasive species, habitat assessment and determining the factors affecting its habitat suitability is one of the key steps in managing this species. In this study, using MaxEnt model and examining twelve environmental parameters (altitude, slope, aspect, geological units, soil type, vegetation, land use, distance to villages, distance to main roads, distance to waterways, average temperature and rainfall) in the west of Guilan Province, the habitat suitability of this alien species was determined and the most important factors affecting this suitability were investigated. The results showed that the validity value of the model (AUC) was estimated to be 0.852 and the parameters such as distance to village (34.5%), altitude (24.2%) and land use (15.9%) are among the most important and effective factors. Also, the results showed that 0.60% of study area has high suitability, 6.14% moderate suitability, 24.87% low suitability and 68.36% is unsuitable areas for raccoons. The overall result shows that despite the lack of vast favorable areas for this invasive species, an increase in the number and expansion of this species is very likely, because this species has an omnivorous diet, high adaptability to different environments and conditions, as well as extensive niches. All of these factors cause the raccoon to spread further in the region and consequently increase the risks and damages to the native ecosystem.
DOI: 10.6084/m9.figshare.22709227.v1
title: Data for habitat suitability analysis

description: Today, in addition to the destruction and fragmentation of the world's habitats, the invasive species and the damage caused by them, are one of the most important factors in the destruction of ecosystems. Raccoon <em>(Procyon lotor</em>) is a medium-sized mammal that is placed in mid-levels of the food chain and can affect a wide range of species. Considering the damage done to local ecosystems by this invasive species, habitat assessment and determining the factors affecting its habitat suitability is one of the key steps in managing this species. In this study, using MaxEnt model and examining twelve environmental parameters (altitude, slope, aspect, geological units, soil type, vegetation, land use, distance to villages, distance to main roads, distance to waterways, average temperature and rainfall) in the west of Guilan Province, the habitat suitability of this alien species was determined and the most important factors affecting this suitability were investigated. The results showed that the validity value of the model (AUC) was estimated to be 0.852 and the parameters such as distance to village (34.5%), altitude (24.2%) and land use (15.9%) are among the most important and effective factors. Also, the results showed that 0.60% of study area has high suitability, 6.14% moderate suitability, 24.87% low suitability and 68.36% is unsuitable areas for raccoons. The overall result shows that despite the lack of vast favorable areas for this invasive species, an increase in the number and expansion of this species is very likely, because this species has an omnivorous diet, high adaptability to different environments and conditions, as well as extensive niches. All of these factors cause the raccoon to spread further in the region and consequently increase the risks and damages to the native ecosystem.
DOI: 10.6084/m9.figshare.22709599
title: <strong>Table S2. List of all peptides detected by proteomics for AA9-X282 proteins.</strong>

description: The table contains all peptides detected by proteomic analysis (high-resolution tandem mass spectrometry) of three AA9-X282 proteins produced heterologously in <em>Pichia pastoris</em> and purified by IMAC, namely the AA9-X282-CBM1 from <em>Coprinopsis cinerea</em> (<em>Cci</em>AA9-X282-CBM1), the AA9-X282-9res from <em>Trametes ljubarskyi </em>(<em>Tlj</em>AA9-X282-9res) and <em>Pycnoporus coccineus</em> (syn. <em>Trametes coccinea</em>) (<em>Pco</em>AA9-X282-9res).
DOI: 10.6084/m9.figshare.22709599.v1
title: <strong>Table S2. List of all peptides detected by proteomics for AA9-X282 proteins.</strong>

description: The table contains all peptides detected by proteomic analysis (high-resolution tandem mass spectrometry) of three AA9-X282 proteins produced heterologously in <em>Pichia pastoris</em> and purified by IMAC, namely the AA9-X282-CBM1 from <em>Coprinopsis cinerea</em> (<em>Cci</em>AA9-X282-CBM1), the AA9-X282-9res from <em>Trametes ljubarskyi </em>(<em>Tlj</em>AA9-X282-9res) and <em>Pycnoporus coccineus</em> (syn. <em>Trametes coccinea</em>) (<em>Pco</em>AA9-X282-9res).
DOI: 10.2908/sdg_01_20
title: Persons at risk of monetary poverty after social transfers - EU-SILC and ECHP surveys
title: Personnes en risque de pauvreté monétaire après transferts sociaux - enquêtes EU_SILC et PCM
title: Von monetärer Armut bedrohte Personen nach Sozialleistungen - EU-SILC und ECHP Erhebungen

description: Als von Armut bedroht gelten Personen mit einem verfügbaren Äquivalenzeinkommen unterhalb der Armutsgefährdungsschwelle, die bei 60 % des nationalen verfügbaren medianen Äquivalenzeinkommens (nach Sozialtransfers) liegt. Der Indikator ist ein Bestandteil des mehrdimensionalen Armutsindex.
description: People at risk-of-poverty are persons with an equivalised disposable income below the risk-of-poverty threshold, which is set at 60 % of the national median equivalised disposable income (after social transfers). The indicator is part of the multidimensional poverty index.
description: Les personnes qui sont menacées par la pauvreté sont les personnes dont le revenu disponible équivalent se situe en dessous du seuil de pauvreté fixé à 60 % du revenu disponible équivalent médian national (après transferts sociaux). L'indicateur est compris dans l'indice de pauvreté multidimensionnelle.
DOI: 10.5281/zenodo.7871297
title: Supplementary Materials

description: Figure S1: Genes selected for verification with a quantitative reverse transcription polymerase chain reaction (qRT-PCR); Table S1: Cadmium (Cd) concentration in shoots and roots of each F<sub>2 </sub>individual; Table S2: DNA libraries for sequencing data quality; Table S3: Sample original reads and quality filtering statistics; Table S4: The GO enrichment for 3502 DEGs; Table S5: The KEGG enrichment for 3502 DEGs; Table S6: The 3502 unique DEGs between 'P1' and 'P2' under Cd treatment; Table S7: The qRT-PCR primers used for verification.
DOI: 10.5281/zenodo.7871296
title: Supplementary Materials

description: Figure S1: Genes selected for verification with a quantitative reverse transcription polymerase chain reaction (qRT-PCR); Table S1: Cadmium (Cd) concentration in shoots and roots of each F<sub>2 </sub>individual; Table S2: DNA libraries for sequencing data quality; Table S3: Sample original reads and quality filtering statistics; Table S4: The GO enrichment for 3502 DEGs; Table S5: The KEGG enrichment for 3502 DEGs; Table S6: The 3502 unique DEGs between 'P1' and 'P2' under Cd treatment; Table S7: The qRT-PCR primers used for verification.
DOI: 10.3886/e189823v1-137365
title: Data and Code for: The Incarceration Penalty and Black-White Economic Inequality

description: This paper investigates income and wealth gaps by household incarceration history within and across racial groups using the Blinder-Oaxaca decomposition. We study this in the context of Baltimore, Maryland using data from the 2017 Baltimore National Asset Scorecard for Communities of Color (NASCC) survey.
DOI: 10.6084/m9.figshare.22709845
title: data

description: MOCVD and BEOL related data