cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15468/dl.wj2bx3
title: Occurrence Download

description: A dataset containing 2376 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((-12.22734 34.31666,51.81032 34.31666,51.81032 71.55873,-12.22734 71.55873,-12.22734 34.31666))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Opuntia humifusa",
 "Year 2000-2025"
 ]
}

 The dataset includes 2376 records from 52 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0008289-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.mfvt6c
title: Occurrence Download

description: A dataset containing 4 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "TaxonKey is Cellulomonas rhizosphaerae"
 ]
}

 The dataset includes 4 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0014488-250402121839773/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.18496260
title: Intermediate, processed data for study: "Global gridded crop models systematically underestimate yield losses from climatic extremes"

description: Data that can be used to reproduce the results from the study "Global gridded crop models systematically underestimate yield losses from climatic extremes".
DOI: 10.5281/zenodo.18496259
title: Intermediate, processed data for study: "Global gridded crop models systematically underestimate yield losses from climatic extremes"

description: Data that can be used to reproduce the results from the study "Global gridded crop models systematically underestimate yield losses from climatic extremes".
DOI: 10.5281/zenodo.18504577
title: Exception Handling G1

description: Results and plots for Exception Handling projects.
DOI: 10.5281/zenodo.18504578
title: Exception Handling G1

description: Results and plots for Exception Handling projects.
DOI: 10.15468/dl.ahcq43
title: Occurrence Download

description: A dataset containing 1 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Neoveitchia storckii",
 "HasCoordinate is true",
 "BasisOfRecord is one of (Specimen)"
 ]
}

 The dataset includes 1 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0016239-260129131611470/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.p9jv8g
title: Occurrence Download

description: A dataset containing 7324 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is one of (Austria, Germany, Slovenia, Croatia)",
 "OccurrenceStatus is Present",
 "TaxonKey is Salamandra atra"
 ]
}

 The dataset includes 7324 records from 51 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0016240-260129131611470/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.qmqzfg
title: Occurrence Download

description: A dataset containing 819 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Burkina Faso",
 "GadmGid is BFA",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "IucnRedListCategory is EN",
 "OccurrenceStatus is Present"
 ]
}

 The dataset includes 819 records from 18 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0016241-260129131611470/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.18504667
title: MAHMUDXO'JA BEHBUDIYNING PEDAGOGIK G'OYALARI VA ULARNING ZAMONAVIY TA'LIMGA TA'SIRI

description: Mazkur maqolada jadidchilik harakatining yirik namoyandasi Mahmudxo‘ja Behbudiyning pedagogik qarashlari hamda ularning zamonaviy ta’lim tizimidagi ahamiyati tahlil qilinadi. Behbudiyning ma’rifat, milliy ong, vatanparvarlik, zamonaviy fanlarni o‘qitish, darsliklar yaratish va maktabni isloh qilish borasidagi g‘oyalari ilmiy manbalar asosida yoritiladi. Shuningdek, uning ta’limga oid qarashlari bugungi kunda kompetensiyaviy yondashuv, integratsiyalashgan ta’lim, shaxsga yo‘naltirilgan ta’lim tamoyillari bilan uyg‘unligi asoslab beriladi. Maqolada Behbudiyning pedagogik merosi yosh avlodni har tomonlama barkamol qilib tarbiyalashda muhim manba ekanligi ilmiy jihatdan izohlanadi.
DOI: 10.5281/zenodo.18504668
title: MAHMUDXO'JA BEHBUDIYNING PEDAGOGIK G'OYALARI VA ULARNING ZAMONAVIY TA'LIMGA TA'SIRI

description: Mazkur maqolada jadidchilik harakatining yirik namoyandasi Mahmudxo‘ja Behbudiyning pedagogik qarashlari hamda ularning zamonaviy ta’lim tizimidagi ahamiyati tahlil qilinadi. Behbudiyning ma’rifat, milliy ong, vatanparvarlik, zamonaviy fanlarni o‘qitish, darsliklar yaratish va maktabni isloh qilish borasidagi g‘oyalari ilmiy manbalar asosida yoritiladi. Shuningdek, uning ta’limga oid qarashlari bugungi kunda kompetensiyaviy yondashuv, integratsiyalashgan ta’lim, shaxsga yo‘naltirilgan ta’lim tamoyillari bilan uyg‘unligi asoslab beriladi. Maqolada Behbudiyning pedagogik merosi yosh avlodni har tomonlama barkamol qilib tarbiyalashda muhim manba ekanligi ilmiy jihatdan izohlanadi.
DOI: 10.5281/zenodo.18504630
title: Tapadera (C-86-V-II-597-1 a 8)

description: Tapadera proveniente del Castillejo de los Güajares (Guajar Faragüit). Ha sido modelada a torno y con cocida en un ambiente oxidante. Morfologicamente presenta un cuerpo semicircular con un borde horizontal y labio redondeado. Tiene además un asidero cilíndrico gallonado. Como decoración presenta un patron de ondas incisas limitado por dos líneas incisas.

Cronología: XIII - XIV

Fotografías, modelo y descripción: https://sketchfab.com/ibarramedinaA

Este modelo forma parte de CEGRAM (Proyecto PID2022-140442NA-I00 financiado por MICIU/AEI/10.13039/501100011033/ y por FEDER, UE) e iCERAAM (Proyecto de Innovación docente: Ceramoteca medieval y moderna. Un instrumento docente y de divulgación. ICERAMM (PIB Tipo A nº 24-199), financiado por la Universidad de Granada)
DOI: 10.5281/zenodo.18504631
title: Tapadera (C-86-V-II-597-1 a 8)

description: Tapadera proveniente del Castillejo de los Güajares (Guajar Faragüit). Ha sido modelada a torno y con cocida en un ambiente oxidante. Morfologicamente presenta un cuerpo semicircular con un borde horizontal y labio redondeado. Tiene además un asidero cilíndrico gallonado. Como decoración presenta un patron de ondas incisas limitado por dos líneas incisas.

Cronología: XIII - XIV

Fotografías, modelo y descripción: https://sketchfab.com/ibarramedinaA

Este modelo forma parte de CEGRAM (Proyecto PID2022-140442NA-I00 financiado por MICIU/AEI/10.13039/501100011033/ y por FEDER, UE) e iCERAAM (Proyecto de Innovación docente: Ceramoteca medieval y moderna. Un instrumento docente y de divulgación. ICERAMM (PIB Tipo A nº 24-199), financiado por la Universidad de Granada)
DOI: 10.15468/dl.shwscb
title: Occurrence Download

description: A dataset containing 12 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Nephrosperma vanhoutteanum",
 "HasCoordinate is true",
 "BasisOfRecord is one of (Specimen)"
 ]
}

 The dataset includes 12 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0016243-260129131611470/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.18504700
title: PEDAGOGIK YONDASHUVLAR ORQALI FANLARARO KOMPETENSIYALARNI SHAKLLANTIRISH: OMILLAR VA SAMARADORLIK

description: Ushbu maqolada pedagogik yondashuvlar orqali fanlararo kompetensiyalarni shakllantirishning omillari va samaradorligi tahlil qilinadi. Fanlararo kompetensiyalar talabaning turli fanlardan olgan bilim va ko‘nikmalarini uyg‘unlashtirib, amaliy va nazariy masalalarni hal etish qobiliyatini rivojlantirishda muhim ahamiyatga ega. Tadqiqotda pedagogik jarayonni samarali tashkil etish, motivatsiya va individual xususiyatlarni hisobga olish, loyiha ishlari, interaktiv mashg‘ulotlar va axborot-kommunikatsion texnologiyalardan foydalanish orqali kompetensiyalarni shakllantirishning samaradorligi ko‘rib chiqilgan. Shu bilan birga, fanlararo kompetensiyalarni baholash tizimi ularning shakllanish darajasini aniqlash va pedagogik jarayon samaradorligini oshirishda muhim rol o‘ynashi qayd etilgan.
DOI: 10.5281/zenodo.18504701
title: PEDAGOGIK YONDASHUVLAR ORQALI FANLARARO KOMPETENSIYALARNI SHAKLLANTIRISH: OMILLAR VA SAMARADORLIK

description: Ushbu maqolada pedagogik yondashuvlar orqali fanlararo kompetensiyalarni shakllantirishning omillari va samaradorligi tahlil qilinadi. Fanlararo kompetensiyalar talabaning turli fanlardan olgan bilim va ko‘nikmalarini uyg‘unlashtirib, amaliy va nazariy masalalarni hal etish qobiliyatini rivojlantirishda muhim ahamiyatga ega. Tadqiqotda pedagogik jarayonni samarali tashkil etish, motivatsiya va individual xususiyatlarni hisobga olish, loyiha ishlari, interaktiv mashg‘ulotlar va axborot-kommunikatsion texnologiyalardan foydalanish orqali kompetensiyalarni shakllantirishning samaradorligi ko‘rib chiqilgan. Shu bilan birga, fanlararo kompetensiyalarni baholash tizimi ularning shakllanish darajasini aniqlash va pedagogik jarayon samaradorligini oshirishda muhim rol o‘ynashi qayd etilgan.
DOI: 10.15468/dl.kcmmq5
title: Occurrence Download

description: A dataset containing 114 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Normanbya normanbyi",
 "HasCoordinate is true",
 "BasisOfRecord is one of (Specimen)"
 ]
}

 The dataset includes 114 records from 13 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0016244-260129131611470/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.34740/kaggle/dsv/14752049
title: Peer-to-Peer Boliviano (BOB) Exchange Data
DOI: 10.6084/m9.figshare.27822663.v2
title: A study on the citation impact of Open Science Indicators in the French Open Science Monitor

description: This study investigates the correlation of citation impact with various open science indicators (OSI) within the French Open Science Monitor (FOSM), a dataset comprising approximately 900,000 publications authored by French authors from 2020 to 2022. By integrating data from OpenAlex and Crossref, we analyze open science indicators such as the presence of a pre-print, data sharing, and software sharing in 576,537 publications in the FOSM dataset. Our analysis reveals a positive correlation between these open science indicators and citation counts. Considering our most complete citation prediction model, we find pre-prints contribute on average to a significant positive effect of 19% on citation counts, software sharing of 13.5%, and data sharing of 14.3%, which in theory are cumulative increases. While these results remain observational and are limited to the scope of the analysis, they suggest a consistent correlation between citation advantages and open science indicators. Our results may be valuable to policy makers, funding agencies, researchers, publishers, institutions, and other stakeholders who are interested in understanding the academic impacts, or effects, of open science practices.This project contains all the data and code necessary to reproduce our results. The data folder contains two datasets: the full FOSM dataset enriched with further variables as described in our technical report, and a smaller dataset containing the intersection of FOSM and PLOS OSI for control purposes. Next, it contains all the R code required to reproduce our results in the technical report. The code is heavily commented for clarity. The technical report is added to this project as well.
DOI: 10.48425/qp15spun
title: V_forest_pine_dendro_core_edge

description: This data set describes a tree ring data set of 146 mature individuals of Scots pine (*Pinus sylvestris*) collected in a replicated ecological study design across Norway’s northernmost county Finnmark. The motivation of the study was to quantify the abundance and growth of Scots pine seedlings in a neighborhood around mature seed trees. This dataset contains the tree ring time series of the seed trees. The dataset consists of the following files:

- A coordinate file that contains sampling coordinates for each seed tree. This file is in a simple text format (.txt).

- A data file that contains the raw measurements of ring width per year for each sample. The data file is given in the Tree Ring Data Standard (TriDaS; [Jansma et al. 2010](https://doi.org/10.1016/j.dendro.2009.06.009)), which is an XML-based universal standard for dendrochronological data.

Bibliographic citations:

1. Jepsen, J.U., Favero, G., Kråkenes, L., Arneberg, M.K., Vindstad, O.P.L 2025. Tree ring data for pine (*Pinus sylvestris*) from a regional sampling design in Finnmark County, Norway NINA Data report 6. Norwegian Institute for Nature Research, https://hdl.handle.net/11250/5331349
2. Favero, G. 2023. Distribution, age and growth dynamics of Scots pine recruits on its northern distributional limit in Norway. Master's thesis, Faculty of Environmental Sciences and Natural Resource Management, Norwegian University of Life Sciences (NMBU), https://hdl.handle.net/11250/3076821
3. Kråkenes, L.M.H. 2023. Recruitment of Scots pine Pinus sylvestris L. beyond the edge of its current distribution range in the forest-tundra ecotone of northern Norway. Master's thesis, Faculty of Environmental Sciences and Natural Resource Management, Norwegian University of Life Sciences (NMBU), https://hdl.handle.net/11250/3076833
DOI: 10.15468/dl.w2tr5u
title: Occurrence Download

description: A dataset containing 206 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Nypa fruticans",
 "HasCoordinate is true",
 "BasisOfRecord is one of (Specimen)"
 ]
}

 The dataset includes 206 records from 26 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0016245-260129131611470/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.27822663
title: A study on the citation impact of Open Science Indicators in the French Open Science Monitor

description: This study investigates the correlation of citation impact with various open science indicators (OSI) within the French Open Science Monitor (FOSM), a dataset comprising approximately 900,000 publications authored by French authors from 2020 to 2022. By integrating data from OpenAlex and Crossref, we analyze open science indicators such as the presence of a pre-print, data sharing, and software sharing in 576,537 publications in the FOSM dataset. Our analysis reveals a positive correlation between these open science indicators and citation counts. Considering our most complete citation prediction model, we find pre-prints contribute on average to a significant positive effect of 19% on citation counts, software sharing of 13.5%, and data sharing of 14.3%, which in theory are cumulative increases. While these results remain observational and are limited to the scope of the analysis, they suggest a consistent correlation between citation advantages and open science indicators. Our results may be valuable to policy makers, funding agencies, researchers, publishers, institutions, and other stakeholders who are interested in understanding the academic impacts, or effects, of open science practices.This project contains all the data and code necessary to reproduce our results. The data folder contains two datasets: the full FOSM dataset enriched with further variables as described in our technical report, and a smaller dataset containing the intersection of FOSM and PLOS OSI for control purposes. Next, it contains all the R code required to reproduce our results in the technical report. The code is heavily commented for clarity. The technical report is added to this project as well.
DOI: 10.6084/m9.figshare.27822663.v3
title: A study on the citation impact of Open Science Indicators in the French Open Science Monitor

description: This study investigates the correlation of citation impact with various open science indicators (OSI) within the French Open Science Monitor (FOSM), a dataset comprising approximately 900,000 publications authored by French authors from 2020 to 2022. By integrating data from OpenAlex and Crossref, we analyze open science indicators such as the presence of a pre-print, data sharing, and software sharing in 576,537 publications in the FOSM dataset. Our analysis reveals a positive correlation between these open science indicators and citation counts. Considering our most complete citation prediction model, we find pre-prints contribute on average to a significant positive effect of 19% on citation counts, software sharing of 13.5%, and data sharing of 14.3%, which in theory are cumulative increases. While these results remain observational and are limited to the scope of the analysis, they suggest a consistent correlation between citation advantages and open science indicators. Our results may be valuable to policy makers, funding agencies, researchers, publishers, institutions, and other stakeholders who are interested in understanding the academic impacts, or effects, of open science practices.This project contains all the data and code necessary to reproduce our results. The data folder contains two datasets: the full FOSM dataset enriched with further variables as described in our technical report, and a smaller dataset containing the intersection of FOSM and PLOS OSI for control purposes. Next, it contains all the R code required to reproduce our results in the technical report. The code is heavily commented for clarity. The technical report is added to this project as well.
DOI: 10.6084/m9.figshare.27822663.v4
title: A study on the citation impact of Open Science Indicators in the French Open Science Monitor

description: This study investigates the correlation of citation impact with various open science indicators (OSI) within the French Open Science Monitor (FOSM), a dataset comprising approximately 900,000 publications authored by French authors from 2020 to 2022. By integrating data from OpenAlex and Crossref, we analyze open science indicators such as the presence of a pre-print, data sharing, and software sharing in 576,537 publications in the FOSM dataset. Our analysis reveals a positive correlation between these open science indicators and citation counts. Considering our most complete citation prediction model, we find pre-prints contribute on average to a significant positive effect of 19% on citation counts, software sharing of 13.5%, and data sharing of 14.3%, which in theory are cumulative increases. While these results remain observational and are limited to the scope of the analysis, they suggest a consistent correlation between citation advantages and open science indicators. Our results may be valuable to policy makers, funding agencies, researchers, publishers, institutions, and other stakeholders who are interested in understanding the academic impacts, or effects, of open science practices.This project contains all the data and code necessary to reproduce our results. The data folder contains two datasets: the full FOSM dataset enriched with further variables as described in our technical report, and a smaller dataset containing the intersection of FOSM and PLOS OSI for control purposes. Next, it contains all the R code required to reproduce our results in the technical report. The code is heavily commented for clarity. The technical report is added to this project as well.
DOI: 10.6084/m9.figshare.31278340
title: The Augmented IQ-OTHNCCD Lung Cancer Dataset

description: This repository contains the minimal reproducibility dataset supporting the research work titled:"Contrastive Attention Learning Network Based Hybrid Model for Lung Cancer Detection in CT Images"<br>The study focuses on automated lung cancer classification from computed tomography (CT) images using deep learning and feature fusion techniques.<br>The original CT images were obtained from the publicly available IQ-OTHNCCD Lung Cancer Dataset. In accordance with repository and journal policies, raw CT images are not redistributed in this repository.<br>Instead, this repository provides the essential materials required to reproduce the findings reported in the manuscript, including:<br>• Patient-wise training and testing split indices • Detailed preprocessing pipeline description • Extracted deep learning feature representations • Extracted radiomic feature representations • Corresponding class labels <br>The patient-wise split strategy ensures the prevention of data leakage and supports reliable model evaluation. The materials provided here enable transparent and reproducible validation of the proposed methodology while respecting data ownership and ethical considerations.<br>Researchers can reproduce the results by downloading the original IQ-OTHNCCD dataset from its official source and applying the split indices and preprocessing steps described in this repository.
DOI: 10.6084/m9.figshare.31278340.v1
title: The Augmented IQ-OTHNCCD Lung Cancer Dataset

description: This repository contains the minimal reproducibility dataset supporting the research work titled:"Contrastive Attention Learning Network Based Hybrid Model for Lung Cancer Detection in CT Images"<br>The study focuses on automated lung cancer classification from computed tomography (CT) images using deep learning and feature fusion techniques.<br>The original CT images were obtained from the publicly available IQ-OTHNCCD Lung Cancer Dataset. In accordance with repository and journal policies, raw CT images are not redistributed in this repository.<br>Instead, this repository provides the essential materials required to reproduce the findings reported in the manuscript, including:<br>• Patient-wise training and testing split indices • Detailed preprocessing pipeline description • Extracted deep learning feature representations • Extracted radiomic feature representations • Corresponding class labels <br>The patient-wise split strategy ensures the prevention of data leakage and supports reliable model evaluation. The materials provided here enable transparent and reproducible validation of the proposed methodology while respecting data ownership and ethical considerations.<br>Researchers can reproduce the results by downloading the original IQ-OTHNCCD dataset from its official source and applying the split indices and preprocessing steps described in this repository.
DOI: 10.25504/fairsharing.d56a22
title: FAIRsharing record for: Open-archeOcsean
title: null

description: This FAIRsharing record describes:  Open-archeOcsean is a curated catalogue of open-source data sets regarding the archaeology of the Pacific and Southeast Asia regions. 
description: The source of this description is the metadata record on FAIRsharing.org, an educational and informative resource that describes and links databases, standards, and data policies. FAIRsharing also creates collections of these resources and recommendations of databases and standards based on 3rd party data policies.