cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.7488/ds/7976
title: Short-term stability over time and across situations of behavioural traits in gestating and lactating sows

description: Personality consists of the set of traits which show stable individual differences in behaviour over time and across contexts in a species. Personality has been previously studied in pigs, however few studies have focused on adult females and on both the gestating and lactating phases of their reproductive cycle. The aim of this work was to identify candidate personality traits in breeding females, by assessing temporal stability and associations between situations. Adult female pigs (Sus scrofa) ranging from parity one to seven underwent a series of repeated tests and observations during late gestation (70-110 days after service) and during lactation (1-30 days after farrowing). In gestation, their response to a human in the home pen (median 2 repeated tests per individual, ranging from 1-4) and social behaviour at feeding (median 2 tests, 1-4) were assessed. In lactation their response to a dummy hand (median 2 tests, 1-4) and lying down behaviour (median 2 tests, 1-6) were recorded as indicators of maternal defence and maternal care. Out of the twelve variables measured in these four different situations, five were consistent over repeated tests at different times (i.e. the posterior distribution of their repeatability excluded values less than 0.01): dominance rank, number of attacks, and number of avoidances during feeding, number of vocalisations when exposed to a dummy hand, and probability of vocalising before lying down. We found correlations with an absolute value higher than 0.30 between number of attacks and number of avoidances during feeding, number of attacks and number of vocalisations when exposed to the dummy hand, and between the latter and probability of vocalising before lying down during lactation. Our results suggest that social behaviour at feeding and acoustic signalling in different contexts are stable traits in adult female pigs. The estimated correlations between the traits might also indicate the presence of a proactive behavioural syndrome.
description: Documentation in README_pers_sows.txt.
DOI: 10.7294/31114834
title: Dataset for: Effects of scalding on feather corticosterone concentrations in broiler chickens

description: Feather corticosterone concentrations (fCORT) can be used to provide insights into long-term stress over the feather growth period in poultry and has potential to be included in routine assessment of animal welfare. While this measure is validated in broiler chickens, it is unclear how slaughter and processing procedures could influence fCORT assay outcomes. The objective of this study was to determine whether the scalding process at slaughter would impact corticosterone concentrations in broiler chicken feathers using Enzyme-Linked Immunosorbent Assays (ELISA). Our findings indicate that the scalding process, an inherent part of broiler chicken processing at slaughter, does impact fCORT assay outcomes, likely due to the agitation damaging the feather structure, releasing fCORT into the water. This suggests that as part of an animal welfare assessment, feather samples should be collected prior to scalding to obtain a biologically representative indication of long-term stress experienced during the period of feather growth, rather than after scalding, unless the fCORT concentrations will be used as a relative rather than absolute indicator of animal welfare.
DOI: 10.7294/31114834.v2
title: Dataset for: Effects of scalding on feather corticosterone concentrations in broiler chickens

description: Feather corticosterone concentrations (fCORT) can be used to provide insights into long-term stress over the feather growth period in poultry and has potential to be included in routine assessment of animal welfare. While this measure is validated in broiler chickens, it is unclear how slaughter and processing procedures could influence fCORT assay outcomes. The objective of this study was to determine whether the scalding process at slaughter would impact corticosterone concentrations in broiler chicken feathers using Enzyme-Linked Immunosorbent Assays (ELISA). Our findings indicate that the scalding process, an inherent part of broiler chicken processing at slaughter, does impact fCORT assay outcomes, likely due to the agitation damaging the feather structure, releasing fCORT into the water. This suggests that as part of an animal welfare assessment, feather samples should be collected prior to scalding to obtain a biologically representative indication of long-term stress experienced during the period of feather growth, rather than after scalding, unless the fCORT concentrations will be used as a relative rather than absolute indicator of animal welfare.
DOI: 10.7294/31114834.v1
title: Dataset for: Effects of scalding on feather corticosterone concentrations in broiler chickens

description: Feather corticosterone concentrations (fCORT) can be used to provide insights into long-term stress over the feather growth period in poultry and has potential to be included in routine assessment of animal welfare. While this measure is validated in broiler chickens, it is unclear how slaughter and processing procedures could influence fCORT assay outcomes. The objective of this study was to determine whether the scalding process at slaughter would impact corticosterone concentrations in broiler chicken feathers using Enzyme-Linked Immunosorbent Assays (ELISA). Our findings indicate that the scalding process, an inherent part of broiler chicken processing at slaughter, does impact fCORT assay outcomes, likely due to the agitation damaging the feather structure, releasing fCORT into the water. This suggests that as part of an animal welfare assessment, feather samples should be collected prior to scalding to obtain a biologically representative indication of long-term stress experienced during the period of feather growth, rather than after scalding, unless the fCORT concentrations will be used as a relative rather than absolute indicator of animal welfare.
DOI: 10.34740/kaggle/dsv/14679234
title: Peer-to-Peer Boliviano (BOB) Exchange Data
DOI: 10.5281/zenodo.18434182
title: Dataset from "Respiratory structures shape heat and desiccation tolerance in terrestrial isopods"
DOI: 10.5281/zenodo.18434181
title: Dataset from "Respiratory structures shape heat and desiccation tolerance in terrestrial isopods"
DOI: 10.25824/redu/bd8jy2
title: An exploratory study on new perspectives in combinatorial problems

description: Foram utilizados dois conjuntos de dados nesta dissertação, ambos voltados à avaliação de métodos de otimização combinatória. O primeiro conjunto refere-se ao Problema do Caixeiro Viajante (TSP) e consiste nas instâncias para a comparação entre os modelos MTZ e o modelo proposto P-MTZ, considerando como métricas o tempo de execução e o GAP de otimalidade. Estas instâncias correspondem às matrizes de distâncias, calculadas usando os conjuntos de dados fornecidos pelo dataset TSPLIB (https://doi.org/10.1287/ijoc.3.4.376) O segundo conjunto de dados está associado ao Problema de Atribuição de Atraques (BAP) e contempla as instâncias para uma análise comparativa entre as meta-heurísticas Particle Swarm Optimization (PSO) e Escape Strategies Algorithm (ESSA), com foco no desempenho e na qualidade das soluções obtidas. As instâncias foram tomadas do trabalho de Cordeau et al 2025. (DOI: 10.1287/trsc.1050.0120)
DOI: 10.5281/zenodo.18434215
title: WORD FORMATION IN ENGLISH AND GERMAN: SIMILARITIES AND DIFFERENCES

description: One essential way that languages develop and arrange their lexicon systems is through word creation. It represents a language's typological, cognitive, and usage-based characteristics in addition to its morphological structure. The word production processes of English and German, two closely related Germanic languages with different morphological techniques, are compared and contrasted in this article. With an emphasis on their productivity and structural limitations, the study examines the main methods of word construction, such as derivation, compounding, and prefixation. The paper emphasizes how English depends more on derivational patterns and lexical borrowing, whereas German demonstrates a high degree of morphological productivity, particularly in compound creation, by combining evidence from peer-reviewed journals, conference proceedings, and theoretical works. According to the investigation, English compounds are more constrained in length and frequency, whereas German compounds are typically semantically compositional and structurally transparent. Additionally, there are differences in the usage of prefixes and suffixes, which are more important in German grammar than in English.
DOI: 10.5281/zenodo.18434214
title: WORD FORMATION IN ENGLISH AND GERMAN: SIMILARITIES AND DIFFERENCES

description: One essential way that languages develop and arrange their lexicon systems is through word creation. It represents a language's typological, cognitive, and usage-based characteristics in addition to its morphological structure. The word production processes of English and German, two closely related Germanic languages with different morphological techniques, are compared and contrasted in this article. With an emphasis on their productivity and structural limitations, the study examines the main methods of word construction, such as derivation, compounding, and prefixation. The paper emphasizes how English depends more on derivational patterns and lexical borrowing, whereas German demonstrates a high degree of morphological productivity, particularly in compound creation, by combining evidence from peer-reviewed journals, conference proceedings, and theoretical works. According to the investigation, English compounds are more constrained in length and frequency, whereas German compounds are typically semantically compositional and structurally transparent. Additionally, there are differences in the usage of prefixes and suffixes, which are more important in German grammar than in English.
DOI: 10.5281/zenodo.18425035
title: Data accompaniment for Prototype-based Explainable Neural Networks with Channel-specific Reasoning for Geospatial Learning Tasks

description: Data and models accompaniment for Narayanan A and Bergen KJ, Prototype-based Explainable Neural Networks with Channel-specific Reasoning for Geospatial Learning Tasks. (submitted, 2026)

Github repo: https://github.com/anaray23/ChannelSpecific_PrototypeNetwork

Acknowledgement:

Data used to replicate findings in this study is freely available. Data used in the MJO classification task can be found at https://zenodo.org/records/3968896 (B Toms 2020). Data used in the land use classification task is obtained from TorchGeo package at Stewart AJ, Robinson C, Corley IA, Ortiz A, Lavista Ferres JM and Banerjee A (2025) TorchGeo: Deep Learning With Geospatial Data. ACM Transactions on Spatial Algorithms and Systems 11(4), 1–28 (https://torchgeo.readthedocs.io/en/latest/api/datasets.html#torchgeo.datasets.EuroSAT).

This work was partially supported by the SciAI Center, funded by the Office of Naval Research (ONR), under Grant Number N00014-23-1-2729. We are grateful to an anonymous donor for their contribution to support the work of early-career researchers impacted by award terminations.
DOI: 10.5281/zenodo.18425034
title: Data accompaniment for Prototype-based Explainable Neural Networks with Channel-specific Reasoning for Geospatial Learning Tasks

description: Data and models accompaniment for Narayanan A and Bergen KJ, Prototype-based Explainable Neural Networks with Channel-specific Reasoning for Geospatial Learning Tasks. (submitted, 2026)

Github repo: https://github.com/anaray23/ChannelSpecific_PrototypeNetwork

Acknowledgement:

Data used to replicate findings in this study is freely available. Data used in the MJO classification task can be found at https://zenodo.org/records/3968896 (B Toms 2020). Data used in the land use classification task is obtained from TorchGeo package at Stewart AJ, Robinson C, Corley IA, Ortiz A, Lavista Ferres JM and Banerjee A (2025) TorchGeo: Deep Learning With Geospatial Data. ACM Transactions on Spatial Algorithms and Systems 11(4), 1–28 (https://torchgeo.readthedocs.io/en/latest/api/datasets.html#torchgeo.datasets.EuroSAT).

This work was partially supported by the SciAI Center, funded by the Office of Naval Research (ONR), under Grant Number N00014-23-1-2729. We are grateful to an anonymous donor for their contribution to support the work of early-career researchers impacted by award terminations.
DOI: 10.5281/zenodo.14917162
title: ItaliaAgrometeo nel Programma Statistico Nazionale

description:  

Abstract



L’Osservatorio di Agro-Meteo-Climatologia e l’Ufficio di Statistica del Consiglio per la ricerca in agricoltura e l’analisi dell’economia agraria (CREA) hanno avviato la collaborazione con l’ISTAT sul Programma Statistico Nazionale (PSN) e dal ciclo 2023-2025 è prevista la specifica scheda di statistiche “ItaliaAgrometeo”. La finalità della scheda del PSN è la disseminazione di accurate statistiche ufficiali agrometeorologiche, che siano utili basi di conoscenza nelle fasi di programmazione e pianificazione su scala regionale e nazionale e per le politiche di settore.







Il dataset fornisce i valori dei principali indici agrometeorologici per l'Italia riferiti alle seguenti unità territoriali Eurostat a partire dall'anno 2023: l’Italia (NUTS 0), le 5 ripartizioni territoriali (NUTS 1) e le regioni (NUTS 2).

Gli indici pubblicati rappresentano fenomeni di rilievo per l'agricoltura, quali le condizioni termiche, la disponibilità idrica e l'andamento fenologico. Alcuni di questi sono elaborati sull’annata agraria (per convenzione il periodo che intercorre dal 1° novembre al 31 ottobre dell’anno successivo). L’analisi è condotta a scala annuale o sub-annuale (mensile o decadale). 

 





Attached content

Documento che descrive gli indici agrometeorologici di interesse per il settore agricolo proposti nella scheda ItaliaAgrometeo del PSN riportati nel dataset (Descrizione_ItaliaAgrometeo_PSN_v1.0.pdf).

Il dataset, che verrà aggiornato annualmente, è costituito dai seguenti file di testo: 



file di indici agrometeorologici riferiti ai singoli anni (es. NCMP_E5_indici_YYYY.csv)

file dei valori climatici di alcuni indici agrometeorologici (NCMP_E5_clima_9120_LFD0_RRcum_Etocum.csv)

file descrittivo degli attributi del dataset (README_ItaliaAgrometeo Dataset.txt)


 

Acknowledgments

Il lavoro è svolto nell'ambito del Programma Statistico Nazionale (PSN) 2023-2025, approvato con DPR del 24 settembre 2024.
DOI: 10.5281/zenodo.14917161
title: ItaliaAgrometeo nel Programma Statistico Nazionale

description:  

Abstract



L’Osservatorio di Agro-Meteo-Climatologia e l’Ufficio di Statistica del Consiglio per la ricerca in agricoltura e l’analisi dell’economia agraria (CREA) hanno avviato la collaborazione con l’ISTAT sul Programma Statistico Nazionale (PSN) e dal ciclo 2023-2025 è prevista la specifica scheda di statistiche “ItaliaAgrometeo”. La finalità della scheda del PSN è la disseminazione di accurate statistiche ufficiali agrometeorologiche, che siano utili basi di conoscenza nelle fasi di programmazione e pianificazione su scala regionale e nazionale e per le politiche di settore.







Il dataset fornisce i valori dei principali indici agrometeorologici per l'Italia riferiti alle seguenti unità territoriali Eurostat a partire dall'anno 2023: l’Italia (NUTS 0), le 5 ripartizioni territoriali (NUTS 1) e le regioni (NUTS 2).

Gli indici pubblicati rappresentano fenomeni di rilievo per l'agricoltura, quali le condizioni termiche, la disponibilità idrica e l'andamento fenologico. Alcuni di questi sono elaborati sull’annata agraria (per convenzione il periodo che intercorre dal 1° novembre al 31 ottobre dell’anno successivo). L’analisi è condotta a scala annuale o sub-annuale (mensile o decadale). 

 





Attached content

Documento che descrive gli indici agrometeorologici di interesse per il settore agricolo proposti nella scheda ItaliaAgrometeo del PSN riportati nel dataset (Descrizione_ItaliaAgrometeo_PSN_v1.0.pdf).

Il dataset, che verrà aggiornato annualmente, è costituito dai seguenti file di testo: 



file di indici agrometeorologici riferiti ai singoli anni (es. NCMP_E5_indici_YYYY.csv)

file dei valori climatici di alcuni indici agrometeorologici (NCMP_E5_clima_9120_LFD0_RRcum_Etocum.csv)

file descrittivo degli attributi del dataset (README_ItaliaAgrometeo Dataset.txt)


 

Acknowledgments

Il lavoro è svolto nell'ambito del Programma Statistico Nazionale (PSN) 2023-2025, approvato con DPR del 24 settembre 2024.
DOI: 10.11570/26.0002
title: G23H
DOI: 10.5281/zenodo.18434243
title: General soil properties of wheat fields along 9 Pedoclimatic regions in Europe

description: This data set contains general soil characteristics from wheat fields sampled (0-25 cm) in conventional and organic farms from 9 European pedoclimatic regions (Mediterranean South, Mediterranean North, Lusitanean, Atlantic Central, Atlantic North, Continental, Pannonian, Nemoral and Boreal).

This data set is part of the work performed in WP3 SoildiverAgro project, funded by the European Commission Horizon 2020 programme [grant agreement 817819].
DOI: 10.5281/zenodo.7682444
title: General soil properties of wheat fields along 9 Pedoclimatic regions in Europe

description: This data set contains general soil characteristics from wheat fields sampled (0-25 cm) in conventional and organic farms from 9 European pedoclimatic regions (Mediterranean South, Mediterranean North, Lusitanean, Atlantic Central, Atlantic North, Continental, Pannonian, Nemoral and Boreal).

This data set is part of the work performed in WP3 SoildiverAgro project, funded by the European Commission Horizon 2020 programme [grant agreement 817819].
DOI: 10.13140/rg.2.2.24795.43048
title: 3 RD BHMS IMPORTANT POSSIBLE QUESTIONS-CBDC SYLLABUS, TERM WISE
DOI: 10.5517/ccdc.csd.cc77bg7
title: CCDC 215588: Experimental Crystal Structure Determination

description: Related Article: B. H. Doreswamy, M. Mahendra, J. Shashidhara Prasad, P. A. Varughese, George Varghese|2010|J.Inorg.Organomet.Polym.Mater.|21|376|doi:10.1007/s10904-010-9445-7
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc108dqd
title: CCDC 931603: Experimental Crystal Structure Determination

description: Related Article: Iliana E. Medina-Ramírez, Cynthia Floyd, Joel T. Mague, Mark J. Fink|2013|Central Eur.J.Chem.|11|1225|doi:10.2478/s11532-013-0255-y
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc2bxwrx
title: CCDC 2172720: Experimental Crystal Structure Determination

description: Related Article: Huisheng Huang, Ye Zhong, Haibo Li, Mingcheng Ge, Binfang Yuan, Bing Li, Jianguo Zhang, Zhimin Li|2026|Inorg.Chem.|||doi:10.1021/acs.inorgchem.5c05000
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc2bxwsy
title: CCDC 2172721: Experimental Crystal Structure Determination

description: Related Article: Huisheng Huang, Ye Zhong, Haibo Li, Mingcheng Ge, Binfang Yuan, Bing Li, Jianguo Zhang, Zhimin Li|2026|Inorg.Chem.|||doi:10.1021/acs.inorgchem.5c05000
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc2bxwv0
title: CCDC 2172723: Experimental Crystal Structure Determination

description: Related Article: Huisheng Huang, Ye Zhong, Haibo Li, Mingcheng Ge, Binfang Yuan, Bing Li, Jianguo Zhang, Zhimin Li|2026|Inorg.Chem.|||doi:10.1021/acs.inorgchem.5c05000
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc2gjwd9
title: CCDC 2280341: Experimental Crystal Structure Determination

description: Related Article: Adela F. Dobre, Augustin M. Madalan, Victorita Tecuceanu, Anamaria Hanganu, Petre Ionita|2024|Rev.Roum.Chim.|69|57|doi:10.33224/rrch.2024.69.1-2.07
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc2jtk20
title: CCDC 2348252: Experimental Crystal Structure Determination

description: Related Article: Fengcai Li, Jiaqi Fu, Ziyun Chen, Wenjing Liang, Hui Cang, Guanglong Zhang|2026|J.Mol.Struct.|1353|144653|doi:10.1016/j.molstruc.2025.144653
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc2kfyyx
title: CCDC 2366910: Experimental Crystal Structure Determination

description: Related Article: Loganathan Selvaraj, Rajendran Eswaran, Santhiya Ramasamy, Seenivasa Perumal Muthu|2026|J.Heterocycl.Chem.|62|1344|doi:10.1002/jhet.70077
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc2kj29h
title: CCDC 2368936: Experimental Crystal Structure Determination

description: Related Article: Roy Silpa, Nallasamy Palanisami|2025|J.Phys.Chem.C|129|17934|doi:10.1021/acs.jpcc.5c03860
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.