cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.7807/immo:red:wm:suf:v1
title: RWI-GEO-RED: RWI Real Estate Data (Scientific Use File)- apartments for rent
title: RWI-GEO-RED: RWI Real Estate Data (Scientific Use File)- apartments for rent
title: Immobiliendaten - Wohnungsmiete

description: ImmobilienScout24 ist die größte Internetplattform für Immobilien in Deutschland. Auf der Internetplattform werden sowohl private als auch gewerbliche Immobilien angeboten. Grundlage des Datensatzes sind Wohnimmobilien zum Kauf und zur Miete, keine Gewerbeimmobilien. Zudem beinhaltet der zugrunde liegende Datensatz keine Objekte die zeitweise deaktiviert wurden (dies geschieht wenn ein möglicher Käufer gefunden wurde, der Vertrag aber noch nicht unterschrieben ist), da diese Angebote möglichen Interessenten nicht zur Verfügung stehen.
description: ImmobilienScout24 is the largest real estate internet platform in Germany. Properties for private as well as commercial use are offered on the website. However, the data only cover residential properties. Furthermore, the data does not contain properties which have been deactivated temporarily (e.g. when there is a potential buyer, but the contract has not been signed yet), since these properties may not be available for prospective customers.
description: Self-administered questionnaire: Web-based
description: seller and landlords give information on website
description: seller and landlords give information on website
description: Alle Inserate auf der Internetplattform
description: all advertisements on the real estate platform
description: Vollerhebung
DOI: 10.5281/zenodo.17585005
title: Integrating GenAI into Software Work: Product Quality, Collaboration, and Process Impacts under an ISO/IEC 25010 Lens

description: Context: Generative Artificial Intelligence (GenAI), particularly Large Language Models (LLMs), has rapidly emerged as a transformative force in software engineering, supporting activities such as code generation, refactoring, testing, and documentation. Despite their growing adoption, empirical evidence remains limited regarding how LLM-based tools influence established dimensions of software product quality such as those defined in ISO/IEC 25010 as well as collaboration and innovation within software teams.  Goal: This study investigates how the integration of GenAI tools affects software quality, human-centered factors, and development processes across the software lifecycle. We aim to provide a holistic understanding of both the opportunities and risks associated with their adoption in professional environments.  Method: We conducted a survey with 121 software practitioners from 26 Brazilian states, spanning public and private sectors. The questionnaire comprised 38 closed- and open-ended questions. Quantitative data were analyzed using descriptive statistics analysis, while qualitative answers underwent open and axial coding following Grounded Theory principles.  Results:  Practitioners reported positive perceptions of GenAI in functional suitability, performance efficiency, maintainability, and flexibility, as well as in usability and adaptability. They emphasized productivity gains, faster bug detection, and automation of repetitive tasks, but expressed concerns about reliability, security, and safety. Open-ended responses revealed improvements in collaboration, communication, and innovation, particularly through rapid prototyping and creative ideation, alongside risks such as overreliance, diminished peer interaction, and a lack of long-term evidence on software quality.   Conclusions:  GenAI tools are perceived as important complements to software development, enhancing productivity, code quality, and team collaboration when used under human-in-the-loop oversight. Their integration demands governance mechanisms that ensure reliability, accountability, and sustainable quality improvements.
DOI: 10.5281/zenodo.17585004
title: Integrating GenAI into Software Work: Product Quality, Collaboration, and Process Impacts under an ISO/IEC 25010 Lens

description: Context: Generative Artificial Intelligence (GenAI), particularly Large Language Models (LLMs), has rapidly emerged as a transformative force in software engineering, supporting activities such as code generation, refactoring, testing, and documentation. Despite their growing adoption, empirical evidence remains limited regarding how LLM-based tools influence established dimensions of software product quality such as those defined in ISO/IEC 25010 as well as collaboration and innovation within software teams.  Goal: This study investigates how the integration of GenAI tools affects software quality, human-centered factors, and development processes across the software lifecycle. We aim to provide a holistic understanding of both the opportunities and risks associated with their adoption in professional environments.  Method: We conducted a survey with 121 software practitioners from 26 Brazilian states, spanning public and private sectors. The questionnaire comprised 38 closed- and open-ended questions. Quantitative data were analyzed using descriptive statistics analysis, while qualitative answers underwent open and axial coding following Grounded Theory principles.  Results:  Practitioners reported positive perceptions of GenAI in functional suitability, performance efficiency, maintainability, and flexibility, as well as in usability and adaptability. They emphasized productivity gains, faster bug detection, and automation of repetitive tasks, but expressed concerns about reliability, security, and safety. Open-ended responses revealed improvements in collaboration, communication, and innovation, particularly through rapid prototyping and creative ideation, alongside risks such as overreliance, diminished peer interaction, and a lack of long-term evidence on software quality.   Conclusions:  GenAI tools are perceived as important complements to software development, enhancing productivity, code quality, and team collaboration when used under human-in-the-loop oversight. Their integration demands governance mechanisms that ensure reliability, accountability, and sustainable quality improvements.
DOI: 10.15468/dl.bruwnc
title: Occurrence Download

description: A dataset containing 6 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Indocalamus victorialis"
 ]
}

 The dataset includes 6 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0005819-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.bwp7nq
title: Occurrence Download

description: A dataset containing 684 species occurrences available in GBIF matching the query:
{
 "and" : [
 "DatasetKey is CSIC-Real Jardín Botánico-Colección de Plantas Vasculares (MA)",
 "PublishingOrg is 0363cbd4-f666-455e-8e86-0bbddcf51950",
 "Year 1789-1794"
 ]
}

 The dataset includes 684 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0005820-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ft5x5j
title: Occurrence Download

description: A dataset containing 414238 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Agriades glandon, Agrodiaetus damon, Albulina orbitulus, Anthocharis euphenoides, Boloria napaea, Boloria pales, Boloria titania, Carcharodus lavatherae, Charaxes jasius, Coenonympha corinna, Colias phicomone, Elkalyce alcetas, Erebia alberganus, Erebia epiphron, Erebia melampus, Erebia meolans, Fabriciana niobe, Heteropterus morpheus, Hipparchia fagi, Lampides boeticus, Leptotes pirithous, Lysandra hispana, Melanargia occitanica, Melitaea phoebe, Parnassius apollo, Parnassius mnemosyne, Polyommatus eros, Pyrgus armoricanus, Pyrgus malvoides, Thymelicus acteon)",
 "Geometry POLYGON((-5.2 43.7, 4 41.9, 8.5 41.9, 8.5 41.2, 10 41.2, 10 43.4, 8.5 43.4, 8.5 49, 2.5 51.2, -5.2 49.5, -5.2 43.7))"
 ]
}

 The dataset includes 414238 records from 2612 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0005805-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17863/cam.117729
title: Centre for Business Research Platform Work Index (CBR-PWI) 2025

description: In this Sourcebook we report the contents of an index and related dataset which benchmark legal developments relating to platform work, the Centre for Business Research Platform Work Index (‘CBR-PWI’). The CBR-PWI tracks statutory initiatives and decisions of courts on the legal definition and regulation of platform work in 95 countries over the decade between 2016 and 2025. To build the CBR-PWI we use the method of index construction set out by the OECD and EU in their joint publication, the Handbook on Constructing Composite Indicators (2008), which was previously used to construct a related 'leximetric' index, the Centre for Business Research Labour Regulation Index (CBR-LRI). This methodology entails defining a statistical ‘construct’ to express the underlying reality or phenomenon which the index measures. The phenomenon we are seeking to measure is the extent to which platform workers come within the scope of labour and social security laws in different countries. To do this, we devise a coding scheme or ‘template’ which captures the differences between countries’ laws and scales them in a consistent way. The coding is done by consulting relevant laws and judgments and secondary sources. Relevant secondary sources included country reports prepared by the Fair Work Project and the European Training Foundation. The template is then mapped on to these materials in order to arrive a score for each country in the index. Laws are coded for each year in the decade between 2016 and 2025, so creating a continuous time series. The construction of the index takes the text of statutes and decisions of courts as primary data. The analysis is carried out by lawyers with expertise in the areas of labour and social security law (the authors of the index). The same team devised the template and carried out the country-by-country coding. After an initial review of the laws of the country concerned, scores were assigned to the indicators contained in the template by one of the team members, and then reviewed by one of the others. Once preliminary codings had been arrived at, all scores were jointly reviewed to ensure that the coding template was being consistently applied. The result of the coding process is a measure of the content of legal rules on the employment status of platform workers.
DOI: 10.15468/dl.tbmk84
title: Occurrence Download

description: A dataset containing 6264 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is United States of America",
 "TaxonKey is Pekania pennanti (Erxleben, 1777)"
 ]
}

 The dataset includes 6264 records from 63 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001546-250424135625364/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.tk65cn
title: Occurrence Download

description: A dataset containing 256 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Cephaloscyllium isabella (Gmelin, 1789)"
 ]
}

 The dataset includes 256 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001547-250424135625364/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.njgz84
title: Occurrence Download

description: A dataset containing 605823 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Abies amabilis, Abies balsamea, Abies chensiensis, Abies delavayi, Abies densa, Abies fabri, Abies fargesii, Abies forrestii, Abies kawakamii, Abies lasiocarpa, Abies mariesii, Abies nordmanniana, Abies pindrow, Abies sibirica, Abies spectabilis, Abies squamata, Abies veitchii, Agarista salicifolia, Betula ermanii, Betula litwinowii, Betula neoalaskana, Betula papyrifera, Betula pendula, Betula platyphylla, Betula pubescens, Betula utilis, Cunninghamia lanceolata, Cupressus nootkatensis, Dracophyllum longifolium, Dracophyllum traversii, Erica arborea, Erica mannii, Erica trimera, Erica ventricosa, Eucalyptus coccifera, Eucalyptus pauciflora, Fagus longipetiolata, Fagus sylvatica, Halocarpus biformis, Juniperus communis, Juniperus excelsa, Juniperus polycarpos, Juniperus przewalskii, Juniperus pseudosabina, Juniperus saltuaria, Juniperus semiglobosa, Juniperus tibetica, Larix decidua, Larix gmelinii, Larix griffithii, Larix kaempferi, Larix laricina, Larix lyallii, Larix mastersiana, Larix potaninii, Larix sibirica, Libocedrus bidwillii, Myrica arborea, Nothofagus antarctica, Nothofagus betuloides, Nothofagus menziesii, Nothofagus pumilio, Nothofagus solandri, Picea abies, Picea asperata, Picea crassifolia, Picea engelmannii, Picea glauca, Picea jezoensis, Picea likiangensis, Picea mariana, Picea meyeri, Picea obovata, Picea purpurea, Picea schrenkiana, Picea smithiana, Pinus albicaulis, Pinus aristata, Pinus armandii, Pinus balfouriana, Pinus canariensis, Pinus cembra, Pinus contorta, Pinus flexilis, Pinus hartwegii, Pinus heldreichii, Pinus longaeva, Pinus mugo, Pinus nigra, Pinus parviflora, Pinus peuce, Pinus sibirica, Pinus sylvestris, Pinus uncinata, Pinus wallichiana, Polylepis besseri, Polylepis incana, Polylepis pauta, Polylepis pepei, Polylepis quadrijuga, Polylepis reticulata, Polylepis sericea, Polylepis subsericans, Polylepis tomentella, Polylepis weberbaueri, Pseudotsuga menziesii, Quercus aquifolioides, Sorbus aucuparia, Sorbus commixta, Sorbus discolor, Sorbus foliolosa, Sorbus microphylla, Tsuga diversifolia, Tsuga mertensiana)",
 "Year is greater than or equal to 1990",
 "CoordinateUncertaintyInMeters is less than or equal to 1000",
 {
 "not" : {
 "BasisOfRecord" : [
 "is Fossil"
 ]
 }
 },
 "Elevation is not null"
 ]
}

 The dataset includes 605823 records from 383 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0032843-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.15081780
title: "The probiotic Limosilactobacillus fermentum CECT5716 enhances the antihypertensive response to hydrochlorothiazide in spontaneously hypertensive rats"

description: Data set corresponding to 16S rRNA sequencing
DOI: 10.5281/zenodo.15081781
title: "The probiotic Limosilactobacillus fermentum CECT5716 enhances the antihypertensive response to hydrochlorothiazide in spontaneously hypertensive rats"

description: Data set corresponding to 16S rRNA sequencing
DOI: 10.5281/zenodo.17608068
title: Submitted Galaxy Scores to the Gravitational Wave Treasure Map for event MS251114k Preliminary

description: Attached in a .json file is the ranked galaxy information within the contour region of the EM counterpart search associated with the gravitational wave event MS251114k Preliminary. A reference to these calculations can be found here: https://ui.adsabs.harvard.edu/abs/2017ApJ...848L..33A/abstract
DOI: 10.5281/zenodo.17608069
title: Submitted Galaxy Scores to the Gravitational Wave Treasure Map for event MS251114k Preliminary

description: Attached in a .json file is the ranked galaxy information within the contour region of the EM counterpart search associated with the gravitational wave event MS251114k Preliminary. A reference to these calculations can be found here: https://ui.adsabs.harvard.edu/abs/2017ApJ...848L..33A/abstract
DOI: 10.57745/o5uup1
title: Influence of photoperiodic treatment of rams on the ovulatory response of Ile-de-France ewes to the male effect during seasonal anestrus.

description: This dataset compiles experimental data on the sexual activity of Ile-de-France rams, either subjected or not to a light treatment, and their ability to stimulate the resumption of ovulatory cycles in anovulatory ewes during seasonal anestrus under natural photoperiod conditions. Twelve two-year-old rams were randomly allocated to two groups of six and housed under natural photoperiod before being transferred on November 4, 1998, to a light-tight facility. The control group was exposed to a simulated natural photoperiod from November 9, 1998, to February 28, 1999, whereas the light-treated group received a long photoperiod (16 h light/day) for 66 days followed by a short photoperiod (8 h light/day) for 46 days. The sexual activity of rams was monitored by measuring testicular volume every two weeks and by determining plasma testosterone concentrations from weekly blood samples collected at 9:00 a.m. The male effect began on March 1, 1999, the day after the light treatment ended. Primiparous and multiparous Ile-de-France ewes (n=120) were kept under natural photoperiod, isolated from males, and then randomly assigned to three age-balanced groups (40 ewes each). Group A was not exposed to rams throughout the experiment, whereas the other two groups were exposed to rams for 14 days, with six rams introduced per group starting on March 1, 1999 (day D0). Group B was exposed to the control rams. Group C was exposed to the light-treated rams. Plasma progesterone was measured before the male effect (days D-14 and D-6: February 15 and 23, 1999) to determine the proportion of cycling ewes, then three times per week (Monday, Wednesday, Friday) from day D0 to day D28 (March 29), to characterize corpus luteum activity as an indicator of the ovulatory response to the male effect.
DOI: 10.15468/dl.s2rrtk
title: Occurrence Download

description: A dataset containing 117939 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Month is November",
 "OccurrenceStatus is Present",
 "Year 2025-2025"
 ]
}

 The dataset includes 117939 records from 46 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0032846-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.57906/tf00-1g34
title: Investment by insurance companies, pension funds and trusts - UK
DOI: 10.15468/dl.jppgnq
title: Occurrence Download

description: A dataset containing 4238 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Portugal",
 "TaxonKey is Tyto alba",
 "Year 2020-2025"
 ]
}

 The dataset includes 4238 records from 8 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0032867-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.x9hbc3
title: Occurrence Download

description: A dataset containing 139963 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Halyomorpha halys"
 ]
}

 The dataset includes 139963 records from 363 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0032792-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.17608017
title: Shape files of rampart and non-rampart crater in Acidalia Planitia on Mars

description: These files provide the location of rampart and non-rampart craters in Acidalia Planitia on Mars. These are available in GIS software such as ArcGIS and QGIS.
DOI: 10.5281/zenodo.17608016
title: Shape files of rampart and non-rampart crater in Acidalia Planitia on Mars

description: These files provide the location of rampart and non-rampart craters in Acidalia Planitia on Mars. These are available in GIS software such as ArcGIS and QGIS.
DOI: 10.15468/dl.4n6x8e
title: Occurrence Download

description: A dataset containing 120158 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is VectorNet observations"
 ]
}

 The dataset includes 120158 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0032852-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.xtggfk
title: Occurrence Download

description: A dataset containing 4873 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((-5.22964 47.21594,-2.99998 47.19811,-0.5091 47.21594,-0.5091 49.1275,-5.22964 49.1275,-5.22964 47.21594))",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Apis mellifera"
 ]
}

 The dataset includes 4873 records from 47 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0032871-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.hn5n27
title: Occurrence Download

description: A dataset containing 477 species occurrences available in GBIF matching the query:
{
 "and" : [
 "OccurrenceStatus is Present",
 "TaxonKey is Astrochelys radiata"
 ]
}

 The dataset includes 477 records from 49 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0032873-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.6fmcja
title: Occurrence Download

description: A dataset containing 99 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is China",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Shuteria vestita"
 ]
}

 The dataset includes 99 records from 9 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0032874-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.6084/m9.figshare.30618626
title: <b>Replication Package for Hybrid Vulnerability Detection Framework</b>

description: This repository contains the complete replication package for the manuscript "<b>An Explainable Hybrid Learning Framework for Vulnerability Detection to </b><b>Enhance Software Dependability</b>" submitted for peer review.<b>Contents:</b>Preprocessed BigVul dataset features (semantic and structural embeddings)Trained model checkpoints (CodeBERT, GCN, Random Forest)Source code for feature extraction, training, and evaluationExperimental results and statistical analysis scriptsConfiguration files for reproducibilityAll experiments use fixed random seed (42) for deterministic results.<br><b>Note: This is an anonymous sharing link for double-blind peer review.</b> Full author attribution will be added upon manuscript acceptance.
DOI: 10.6084/m9.figshare.30618626.v1
title: <b>Replication Package for Hybrid Vulnerability Detection Framework</b>

description: This repository contains the complete replication package for the manuscript "<b>An Explainable Hybrid Learning Framework for Vulnerability Detection to </b><b>Enhance Software Dependability</b>" submitted for peer review.<b>Contents:</b>Preprocessed BigVul dataset features (semantic and structural embeddings)Trained model checkpoints (CodeBERT, GCN, Random Forest)Source code for feature extraction, training, and evaluationExperimental results and statistical analysis scriptsConfiguration files for reproducibilityAll experiments use fixed random seed (42) for deterministic results.<br><b>Note: This is an anonymous sharing link for double-blind peer review.</b> Full author attribution will be added upon manuscript acceptance.