cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.17632/xnn6vrhj26
title: Enrichment and transformation processes of rare earth elements in bioapatites and Fe-Mn micronodules based on the in situ geochemical analyses

description: This dataset contains the Supplementary Table for the article ''Enrichment and transformation processes of rare earth elements in bioapatites and Fe-Mn micronodules based on the in situ geochemical analyses."
DOI: 10.17632/xnn6vrhj26.1
title: Enrichment and transformation processes of rare earth elements in bioapatites and Fe-Mn micronodules based on the in situ geochemical analyses

description: This dataset contains the Supplementary Table for the article ''Enrichment and transformation processes of rare earth elements in bioapatites and Fe-Mn micronodules based on the in situ geochemical analyses."
DOI: 10.15468/dl.2qeaet
title: Occurrence Download

description: A dataset containing 364 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Chone mollis",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 364 records from 24 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0046093-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17632/2rvhv4g73y
title: The Valuation of Energy Efficiency Labels in the French Housing Market

description: This study assesses the effect of energy efficiency labels on the private housing market using information on energy efficiency assessments of housing and property transactions in France between 2016 and 2021. We take into consideration two energy labels assigned to dwellings, one that calculates energy efficiency based on energy consumption and the other on greenhouse gas emissions. The results of the hedonic regressions show that having a higher efficiency rating has a significantly positive effect on housing prices. We also show that this effect increases with the number of annual heating degree days of the locality of the dwelling, indicating the importance of the energy-saving aspect in the market valuation of energy-efficient housing. Finally, using regression discontinuity estimates, we differentiate between the effect of the cognitive perception of labels and of the real energy efficiency gain on housing prices. Our findings reveal that the cognitive effect is predominantly observed in the least efficient dwellings.
DOI: 10.17632/2rvhv4g73y.1
title: The Valuation of Energy Efficiency Labels in the French Housing Market

description: This study assesses the effect of energy efficiency labels on the private housing market using information on energy efficiency assessments of housing and property transactions in France between 2016 and 2021. We take into consideration two energy labels assigned to dwellings, one that calculates energy efficiency based on energy consumption and the other on greenhouse gas emissions. The results of the hedonic regressions show that having a higher efficiency rating has a significantly positive effect on housing prices. We also show that this effect increases with the number of annual heating degree days of the locality of the dwelling, indicating the importance of the energy-saving aspect in the market valuation of energy-efficient housing. Finally, using regression discontinuity estimates, we differentiate between the effect of the cognitive perception of labels and of the real energy efficiency gain on housing prices. Our findings reveal that the cognitive effect is predominantly observed in the least efficient dwellings.
DOI: 10.5281/zenodo.17888486
title: data for the Reply to Matters Arising on Pesticides have negative effects on non-target organisms-2025-1211

description: data for the Reply to Matters Arising on Pesticides have negative effects on non-target organisms-2025-1211
DOI: 10.5281/zenodo.17888485
title: data for the Reply to Matters Arising on Pesticides have negative effects on non-target organisms-2025-1211

description: data for the Reply to Matters Arising on Pesticides have negative effects on non-target organisms-2025-1211
DOI: 10.17632/9pbt3jdzcf
title: CUEFOAR y Argument Test (AT) – Datos pre–post de la estrategia FAEUC con profesorado universitario de ciencias en Colombia

description: “CUEFOAR y Argument Test (AT) – Datos pre–post de la estrategia FAEUC con profesorado universitario de ciencias en Colombia”.El dataset incluye:Matrices completas y anonimizadas de respuestas pre y post al CUEFOAR (por ítem, dimensión y docente D1–D5).
Matrices completas y anonimizadas de respuestas pre y post al Argument Test (AT), incluyendo puntajes por parte, puntaje total y error de ordenamiento.
Documento PDF con los productos docentes vinculados al estudio (ensayos, actividades diseñadas y resultados del instrumento PCK-A), en versión anonimizada y codificada.
DOI: 10.17632/9pbt3jdzcf.1
title: CUEFOAR y Argument Test (AT) – Datos pre–post de la estrategia FAEUC con profesorado universitario de ciencias en Colombia

description: “CUEFOAR y Argument Test (AT) – Datos pre–post de la estrategia FAEUC con profesorado universitario de ciencias en Colombia”.El dataset incluye:Matrices completas y anonimizadas de respuestas pre y post al CUEFOAR (por ítem, dimensión y docente D1–D5).
Matrices completas y anonimizadas de respuestas pre y post al Argument Test (AT), incluyendo puntajes por parte, puntaje total y error de ordenamiento.
Documento PDF con los productos docentes vinculados al estudio (ensayos, actividades diseñadas y resultados del instrumento PCK-A), en versión anonimizada y codificada.
DOI: 10.17632/c8z6v284s8
title: An Automated Labeling Method for Lakes from Remote Sensing Images Guided by Visual and Structural Features

description: This dataset contains the raw remote sensing image patches and corresponding lake masks used for evaluating an automated lake-labeling framework based on visual and structural features. Each image is provided at a fixed resolution and captures diverse lake types with variations in size, morphology, brightness, and background complexity.
DOI: 10.17632/c8z6v284s8.1
title: An Automated Labeling Method for Lakes from Remote Sensing Images Guided by Visual and Structural Features

description: This dataset contains the raw remote sensing image patches and corresponding lake masks used for evaluating an automated lake-labeling framework based on visual and structural features. Each image is provided at a fixed resolution and captures diverse lake types with variations in size, morphology, brightness, and background complexity.
DOI: 10.17632/24bfwkr88x
title: When puncturing fails: nest desertion as an alternative egg rejection strategy in the Oriental Reed Warbler

description: This dataset documents host behavioural responses in an experimental brood parasitism study in which artificial or real eggs were introduced into host nests. A total of 63 experimental nests were monitored. For each nest, the type of experimental egg (real vs. fake) and a series of host responses were recorded, including acceptance, ejection, nest desertion, and rejection mistakes.

In addition to final behavioural outcomes, the dataset includes direct evidence of host inspection behaviour: whether the experimental egg showed peck marks. This variable (“recognize”) indicates whether the host physically pecked the experimental egg, which is often interpreted as an early-stage recognition or assessment behaviour prior to possible rejection decisions.

This dataset can be used to examine host recognition mechanisms, differences in defensive responses elicited by egg types, relationships among multiple rejection behaviours, and the frequency and causes of recognition or rejection errors.

The dataset includes key host responses such as whether the experimental egg was ejected (eject), whether the nest was deserted (desert), and whether the egg was rejected (reject). In addition, it records occurrences of “mistaken rejection” (mistake1), in which hosts erroneously rejected their own egg.

These data provide a basis for analysing the mechanisms underlying host recognition of parasitic eggs, the differential behavioural responses elicited by varying egg models, and the potential relationships among distinct defensive strategies.
DOI: 10.17632/24bfwkr88x.1
title: When puncturing fails: nest desertion as an alternative egg rejection strategy in the Oriental Reed Warbler

description: This dataset documents host behavioural responses in an experimental brood parasitism study in which artificial or real eggs were introduced into host nests. A total of 63 experimental nests were monitored. For each nest, the type of experimental egg (real vs. fake) and a series of host responses were recorded, including acceptance, ejection, nest desertion, and rejection mistakes.

In addition to final behavioural outcomes, the dataset includes direct evidence of host inspection behaviour: whether the experimental egg showed peck marks. This variable (“recognize”) indicates whether the host physically pecked the experimental egg, which is often interpreted as an early-stage recognition or assessment behaviour prior to possible rejection decisions.

This dataset can be used to examine host recognition mechanisms, differences in defensive responses elicited by egg types, relationships among multiple rejection behaviours, and the frequency and causes of recognition or rejection errors.

The dataset includes key host responses such as whether the experimental egg was ejected (eject), whether the nest was deserted (desert), and whether the egg was rejected (reject). In addition, it records occurrences of “mistaken rejection” (mistake1), in which hosts erroneously rejected their own egg.

These data provide a basis for analysing the mechanisms underlying host recognition of parasitic eggs, the differential behavioural responses elicited by varying egg models, and the potential relationships among distinct defensive strategies.
DOI: 10.17632/y3nzn8pdmj.1
title: Disruption of chrna5 blunts aversion and adaptive transcriptomic responses to nicotine and alcohol

description: Data used to generate all main and supplementary figures in the publication ' Disruption of chrna5 blunts aversion and adaptive transcriptomic responses to nicotine and alcohol', iScience.
DOI: 10.17632/3x92d4z9jg
title: Recorded and predicted occurrence of Eumycetozoa in Poland from Central and Eastern European data

description: This dataset contains supplementary tables and maps supporting a study on recorded and predicted occurrence of slime moulds (Eumycetozoa) in Poland. All files are machine‑readable and derived from a harmonised Darwin Core occurrence resource for Central and Eastern Europe combined with gridded climatic predictors.

Supplementary Material 1.1 – full Polish checklist
Species‑level checklist of Eumycetozoa recorded from Poland. For each taxon (order, genus, species, scientificName), the table includes semicolon‑separated habitat and substrate summaries and a collated list of Polish references. It represents the full, annotated national checklist underlying the shortened version in the main text.

Supplementary Material 1.2 – candidate species table
List of 365 candidate species that occur in Central and Eastern Europe but are not yet recorded from Poland. For each taxon, the table provides taxonomic placement, countries of occurrence, aggregated habitat and substrate descriptors, collated bibliography and, where available, species distribution model (SDM) metrics, Polish suitability indicators and probability class, together with top Polish regions.

Supplementary Material 1.3 – model performance metrics
Evaluation results for MaxEnt‑type SDMs fitted to candidate species with sufficient data. For each modelled taxon, the table reports sample size, number of cross‑validation folds and AUC statistics, together with attempted Boyce indices. It allows users to assess the strength and uncertainty of individual models.

Supplementary Material 1.4 – top Polish regions per species
Region‑level summary indicating, for each modelled candidate species, up to three Polish voivodeships with the largest proportion of grid cells classified as climatically suitable. Voivodeships are listed by their Polish names and can be used to prioritise areas for targeted surveys and validation.

Supplementary Material 1.5 – map collection (Supplementary Figures 1–101)
Set of 101 raster maps showing predicted potential distributions in Poland for modelled candidate species. Each figure displays continuous climatic suitability and the subset of grid cells exceeding a 10th‑percentile training‑presence threshold.

Supplementary Material 1.6 – bibliographic list
Alphabetically ordered list of all bibliographic sources used in the Polish checklist (Supplementary Material 1.1). It contains the full citations in Harvard style corresponding to the condensed reference strings in the checklist table.
DOI: 10.17632/3x92d4z9jg.1
title: Recorded and predicted occurrence of Eumycetozoa in Poland from Central and Eastern European data

description: This dataset contains supplementary tables and maps supporting a study on recorded and predicted occurrence of slime moulds (Eumycetozoa) in Poland. All files are machine‑readable and derived from a harmonised Darwin Core occurrence resource for Central and Eastern Europe combined with gridded climatic predictors.

Supplementary Material 1.1 – full Polish checklist
Species‑level checklist of Eumycetozoa recorded from Poland. For each taxon (order, genus, species, scientificName), the table includes semicolon‑separated habitat and substrate summaries and a collated list of Polish references. It represents the full, annotated national checklist underlying the shortened version in the main text.

Supplementary Material 1.2 – candidate species table
List of 365 candidate species that occur in Central and Eastern Europe but are not yet recorded from Poland. For each taxon, the table provides taxonomic placement, countries of occurrence, aggregated habitat and substrate descriptors, collated bibliography and, where available, species distribution model (SDM) metrics, Polish suitability indicators and probability class, together with top Polish regions.

Supplementary Material 1.3 – model performance metrics
Evaluation results for MaxEnt‑type SDMs fitted to candidate species with sufficient data. For each modelled taxon, the table reports sample size, number of cross‑validation folds and AUC statistics, together with attempted Boyce indices. It allows users to assess the strength and uncertainty of individual models.

Supplementary Material 1.4 – top Polish regions per species
Region‑level summary indicating, for each modelled candidate species, up to three Polish voivodeships with the largest proportion of grid cells classified as climatically suitable. Voivodeships are listed by their Polish names and can be used to prioritise areas for targeted surveys and validation.

Supplementary Material 1.5 – map collection (Supplementary Figures 1–101)
Set of 101 raster maps showing predicted potential distributions in Poland for modelled candidate species. Each figure displays continuous climatic suitability and the subset of grid cells exceeding a 10th‑percentile training‑presence threshold.

Supplementary Material 1.6 – bibliographic list
Alphabetically ordered list of all bibliographic sources used in the Polish checklist (Supplementary Material 1.1). It contains the full citations in Harvard style corresponding to the condensed reference strings in the checklist table.
DOI: 10.17632/n625vpggn5.2
title: Multiparameter Sensitivity Analysis Results for the “DecarbFarm” Decarbonization Decision Support Tool

description: This dataset contains the results of a multiparameter global sensitivity analysis performed for the DecarbFarm farm-level decarbonization decision support tool. The analysis was conducted using two complementary global sensitivity analysis methods: the Sobol method and the Morris screening method. The objective of the analysis was to identify and quantify the influence of key parameters on the model outputs - greenhouse gas emissions - generated by DecarbFarm. The Sobol analysis provides first-order, second-order and total-order sensitivity indices, while the Morris method provides μ* and σ statistics indicating parameter importance and interaction effects.
Morris analysis is conducted as a global sensitivity analysis.
Sobol analysis is conducted using two steps approach. In the first step Sobol analysis is conducted for each input data set seperately. In the second step global Sobol analysis is conducted for the most sensitice parameters of each initial input data set.
DOI: 10.17632/ktn8hhcj2k
title: Bidirectional Causality DIG to TP

description: This data is used to measure the bidirectional causality of digitalization and tourism performance in China
DOI: 10.17632/ktn8hhcj2k.1
title: Bidirectional Causality DIG to TP

description: This data is used to measure the bidirectional causality of digitalization and tourism performance in China
DOI: 10.17632/9kjc2xytsd
title: Data for: A new fossil fish sheds light on the rapid evolution of early lungfishes (Qiao et al. 2025)

description: This data set contains data for Phylogenetic, MrBayes Tip-dating, and Disparity analyses ued in the paper Qiao T, Cui XD, Zhao WJ et al. (2025): A new fossil fish sheds light on the rapid evolution of early lungfishes.
DOI: 10.17632/9kjc2xytsd.1
title: Data for: A new fossil fish sheds light on the rapid evolution of early lungfishes (Qiao et al. 2025)

description: This data set contains data for Phylogenetic, MrBayes Tip-dating, and Disparity analyses ued in the paper Qiao T, Cui XD, Zhao WJ et al. (2025): A new fossil fish sheds light on the rapid evolution of early lungfishes.
DOI: 10.15468/dl.ujsj9b
title: Occurrence Download

description: A dataset containing 90 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Eteone pacifica",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 90 records from 15 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0046094-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17632/cwtxww73sw
title: Clinician-Deployable Deep Hypergraph Model Integrating Clinical and CT Radiomics Predicts Immunotherapy Outcomes in NSCLC

description: The dataset consists of pre-treatment CT images from non-small cell lung cancer (NSCLC) patients who received immunotherapy, provided by Memorial Sloan Kettering Cancer Center. Through searching the source data, we identified 136 patients with complete CT images and corresponding clinical information. We provide CT image data in nii.gz format along with manually segmented lesion masks delineated by the radiologists.

All open-access data in this repository are consistent with the original source data. The source data are cited as follows:
Vanguri RS, Luo J, Aukerman AT, Egger JV, Fong CJ, Horvat N, Pagano A, Araujo-Filho JAB, Geneslaw L, Rizvi H, Sosa R, Boehm KM, Yang SR, Bodd FM, Ventura K, Hollmann TJ, Ginsberg MS, Gao J; MSK MIND Consortium; Hellmann MD, Sauter JL, Shah SP. Multimodal integration of radiology, pathology and genomics for prediction of response to PD-(L)1 blockade in patients with non-small cell lung cancer. Nat Cancer. 2022 Oct;3(10):1151-1164.
DOI: 10.17632/cwtxww73sw.1
title: Clinician-Deployable Deep Hypergraph Model Integrating Clinical and CT Radiomics Predicts Immunotherapy Outcomes in NSCLC

description: The dataset consists of pre-treatment CT images from non-small cell lung cancer (NSCLC) patients who received immunotherapy, provided by Memorial Sloan Kettering Cancer Center. Through searching the source data, we identified 136 patients with complete CT images and corresponding clinical information. We provide CT image data in nii.gz format along with manually segmented lesion masks delineated by the radiologists.

All open-access data in this repository are consistent with the original source data. The source data are cited as follows:
Vanguri RS, Luo J, Aukerman AT, Egger JV, Fong CJ, Horvat N, Pagano A, Araujo-Filho JAB, Geneslaw L, Rizvi H, Sosa R, Boehm KM, Yang SR, Bodd FM, Ventura K, Hollmann TJ, Ginsberg MS, Gao J; MSK MIND Consortium; Hellmann MD, Sauter JL, Shah SP. Multimodal integration of radiology, pathology and genomics for prediction of response to PD-(L)1 blockade in patients with non-small cell lung cancer. Nat Cancer. 2022 Oct;3(10):1151-1164.
DOI: 10.17632/8cvfjbwr5k
title: Digital amnesia bibliometric HSSCOMMS

description: The article presents a comprehensive bibliometric analysis of digital amnesia research from 2020–2025, integrating data from Scopus and Web of Science. Using tools such as Biblioshiny, VOSviewer, and CiteSpace, it maps the intellectual, conceptual, and geographic evolution of the field. The study highlights emerging themes, leading contributors, and shifting theoretical perspectives surrounding cognition, digital behaviour, and technology-mediated memory.
DOI: 10.17632/8cvfjbwr5k.1
title: Digital amnesia bibliometric HSSCOMMS

description: The article presents a comprehensive bibliometric analysis of digital amnesia research from 2020–2025, integrating data from Scopus and Web of Science. Using tools such as Biblioshiny, VOSviewer, and CiteSpace, it maps the intellectual, conceptual, and geographic evolution of the field. The study highlights emerging themes, leading contributors, and shifting theoretical perspectives surrounding cognition, digital behaviour, and technology-mediated memory.
DOI: 10.17632/pmfz49wd7m
title: New Energy Development and Labor Income Share：Can We Have Our Cake and Eat It Too?

description: The empirical analysis in this paper is based on a dataset comprising all A-share listed companies from 2007 to 2022, obtained from the CSMAR database. The data processing involved several steps: First, financial firms were excluded from the sample due to their distinct financial characteristics and asset structures. Second, companies flagged as ST or *ST (special treatment for abnormal business performance) during the sample period were also removed. Third, only firms with available data both before and after the policy implementation were included. Fourth, to mitigate the effect of outliers, all continuous micro-level variables were winsorized at the 1% and 99% thresholds. After removing entries with missing key variables, the final dataset includes 25,502 firm-year observations from 1,860 companies. Among these, 656 firms were impacted by the NEDC pilot policy, representing 35.27% of the total sample. City-level data were sourced from the China City Statistical Yearbook and the respective provincial and municipal statistical yearbooks.
DOI: 10.17632/pmfz49wd7m.1
title: New Energy Development and Labor Income Share：Can We Have Our Cake and Eat It Too?

description: The empirical analysis in this paper is based on a dataset comprising all A-share listed companies from 2007 to 2022, obtained from the CSMAR database. The data processing involved several steps: First, financial firms were excluded from the sample due to their distinct financial characteristics and asset structures. Second, companies flagged as ST or *ST (special treatment for abnormal business performance) during the sample period were also removed. Third, only firms with available data both before and after the policy implementation were included. Fourth, to mitigate the effect of outliers, all continuous micro-level variables were winsorized at the 1% and 99% thresholds. After removing entries with missing key variables, the final dataset includes 25,502 firm-year observations from 1,860 companies. Among these, 656 firms were impacted by the NEDC pilot policy, representing 35.27% of the total sample. City-level data were sourced from the China City Statistical Yearbook and the respective provincial and municipal statistical yearbooks.