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

description: A dataset containing 6 species occurrences available in GBIF matching the query:
{
 "and" : [
 "GadmGid is CHN.28_1",
 "TaxonKey is Astragalus scaberrimus"
 ]
}

 The dataset includes 6 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0054391-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.17949157
title: Coretax Tweet Crawling

description: Here is a dataset that contains more than 9000 crawled tweets related to Coretax (a digital tax administration system used in Indonesia, similar to the IRS in the US). The tweets are collected between January and July 2025. All of them are in Indonesian. Keep in mind that this dataset is raw without any preprocessing. The dataset is free to use for any kind of research or publication.
DOI: 10.5281/zenodo.17949156
title: Coretax Tweet Crawling

description: Here is a dataset that contains more than 9000 crawled tweets related to Coretax (a digital tax administration system used in Indonesia, similar to the IRS in the US). The tweets are collected between January and July 2025. All of them are in Indonesian. Keep in mind that this dataset is raw without any preprocessing. The dataset is free to use for any kind of research or publication.
DOI: 10.5281/zenodo.17948696
title: Výstupy projektu SS06020282 - Ekologická recyklace biopolymerů

description: Výstupy projektu SS06020282 -Ekologická recyklace biopolymerů : 





výstup V2 -Koncept chemické recyklace biopolymerů 




výstup V3 – Ověřená technologie výroby methylalktátu z odpadního PLA




výstup V4 - Zpracování životního cyklu bioplastů aplikovaného na podmínky ČR –  Posouzení environmentálních dopadů alkoholýzy polylaktidu na metyl laktát metodou LCA (Rozšíření studie z roku 2023)




Výstup V6 - Funkční vzorek s obsahem produktů chemické recyklace v praxi. Řada ekologických čisticích prostředků EcoReSolv (G, M, P)




Výstup workshop: poster, abstrakt : Workshop projektu SS06020282 Ekologická recyklace biopolymerů
DOI: 10.5281/zenodo.17948697
title: Výstupy projektu SS06020282 - Ekologická recyklace biopolymerů

description: Výstupy projektu SS06020282 -Ekologická recyklace biopolymerů : 





výstup V2 -Koncept chemické recyklace biopolymerů 




výstup V3 – Ověřená technologie výroby methylalktátu z odpadního PLA




výstup V4 - Zpracování životního cyklu bioplastů aplikovaného na podmínky ČR –  Posouzení environmentálních dopadů alkoholýzy polylaktidu na metyl laktát metodou LCA (Rozšíření studie z roku 2023)




Výstup V6 - Funkční vzorek s obsahem produktů chemické recyklace v praxi. Řada ekologických čisticích prostředků EcoReSolv (G, M, P)




Výstup workshop: poster, abstrakt : Workshop projektu SS06020282 Ekologická recyklace biopolymerů
DOI: 10.15468/dl.cwgpdp
title: Occurrence Download

description: A dataset containing 5398 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Corallium rubrum"
 ]
}

 The dataset includes 5398 records from 60 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0054393-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.16893096
title: Time-series surface water enhancement using water occurrence in high-elevation areas

description: Optical satellite remote sensing imagery is frequently utilized for monitoring surface water, owing to its high resolution, continuous observational capabilities, and easily accessibility. However, these images are easily contaminated by clouds, cloud shadows, and terrain shadows, leading to missing data in the images and hindering the generation of long-term surface water time series data. Here, we have developed an Elevation and Water Occurrence-based Area Enhancement (EWOAE) algorithm, which applies water occurrence in high-elevation areas identified through cumulative distribution function, to reconstruct the contaminated pixels in images. The performance of the EWOAE algorithm was evaluated in six study areas worldwide using the Global Surface Water dataset from the Joint Research Centre. The visualization comparison results showed that the EWOAE algorithm can effectively fill the data gaps formed by clouds and other adverse conditions in the images. After applying the algorithm, the correlation between the surface water area time series and the water level time series in all study areas has been improved (e.g., the highest coefficient of determination R2 = 0.98 in the Mead Lake). Compared with two representative algorithms based on water occurrence threshold, the performance of the EWOAE algorithm achieved significant improvement, with a lower mean relative deviation (-0.43%) and mean absolute relative error (2.54%). Moreover, we reconstructed the global reservoir monthly surface area (GRMSA) dataset based on this algorithm and revealed a significant increasing trend in global reservoir surface area between 1984 and 2021. The proposed algorithm can advance surface water dynamics research, supporting freshwater management aligned with Sustainable Development Goal 6.
DOI: 10.5281/zenodo.16893097
title: Time-series surface water enhancement using water occurrence in high-elevation areas

description: Optical satellite remote sensing imagery is frequently utilized for monitoring surface water, owing to its high resolution, continuous observational capabilities, and easily accessibility. However, these images are easily contaminated by clouds, cloud shadows, and terrain shadows, leading to missing data in the images and hindering the generation of long-term surface water time series data. Here, we have developed an Elevation and Water Occurrence-based Area Enhancement (EWOAE) algorithm, which applies water occurrence in high-elevation areas identified through cumulative distribution function, to reconstruct the contaminated pixels in images. The performance of the EWOAE algorithm was evaluated in six study areas worldwide using the Global Surface Water dataset from the Joint Research Centre. The visualization comparison results showed that the EWOAE algorithm can effectively fill the data gaps formed by clouds and other adverse conditions in the images. After applying the algorithm, the correlation between the surface water area time series and the water level time series in all study areas has been improved (e.g., the highest coefficient of determination R2 = 0.98 in the Mead Lake). Compared with two representative algorithms based on water occurrence threshold, the performance of the EWOAE algorithm achieved significant improvement, with a lower mean relative deviation (-0.43%) and mean absolute relative error (2.54%). Moreover, we reconstructed the global reservoir monthly surface area (GRMSA) dataset based on this algorithm and revealed a significant increasing trend in global reservoir surface area between 1984 and 2021. The proposed algorithm can advance surface water dynamics research, supporting freshwater management aligned with Sustainable Development Goal 6.
DOI: 10.21227/g9d9-4056
title: "VideoVista: Benchmarking Diverse and Complex Video-Language Interaction for MLLMs"

description: "We introduce VideoVista, a comprehensive benchmark designed for evaluating the diverse and complex video-language interactive capabilities of Video-LLMs. Meanwhile, we propose an automated data generation framework to streamline the development of advanced Video-LLMs and enhance the efficiency of human annotation within the community. Specifically, we propose a structured task taxonomy to guide the development of VideoVista: 1) To assess the comprehensive capabilities of models, we collect 2,619 videos spanning over 154 domains from diverse platforms, e.g., YouTube, Bilibili, Xiaohongshu, covering content such as Science and Technology, Sports, and Entertainment. 2) To evaluate model robustness across temporal scales, the dataset includes videos ranging from one minute to over two hours in duration, challenging models in both short- and long-term video processing. 3) We introduce 8 major task categories encompassing 48 subtask types, designed to probe a wide spectrum of abilities, including object-event-whole video content understanding and prediction, English-Chinese cultural contexts, spatial and temporal reasoning, streaming question answering, and others. "
DOI: 10.5281/zenodo.17949152
title: MS data linked to manuscript: https://doi.org/10.7554/eLife.109154.1
DOI: 10.5281/zenodo.17949153
title: MS data linked to manuscript: https://doi.org/10.7554/eLife.109154.1
DOI: 10.5281/zenodo.13830390
title: Changes in structure and composition of protected forest habitats after 10 years: Analyzes from different Natura 2000 sites in Saxony-Anhalt, Germany

description: The data utilized in the paper "Wild et al. (2024)," submitted in Ecology and Evolution, are provided herein. The study examines the alterations in forest structure and species composition in Natura 2000 sites over a period of approximately ten years in the Harz and Harz foreland regions of Saxony-Anhalt, Germany.

The data were collected as part of the research project "Possibilities and Methods for the Promotion of Tree Species and Habitats of Native Forests as a Building Block for Adaptation to Climate Change and for Coping with Forest Damage Using the Example of Selected Natura 2000 Areas in Saxony-Anhalt" (10/2020 – 06/2023) (project no. 407.1.10-60128/630120000006) funded by the European Agricultural Fund for Rural Development and the State Administration Office of Saxony-Anhalt. 

The surveys were conducted between the months of July and September in the years 2021 and 2022.
DOI: 10.5281/zenodo.14900578
title: Changes in structure and composition of protected forest habitats after 10 years: Analyzes from different Natura 2000 sites in Saxony-Anhalt, Germany

description: The data utilized in the paper "Wild et al. (2024)," submitted in Ecology and Evolution, are provided herein. The study examines the alterations in forest structure and species composition in Natura 2000 sites over a period of approximately ten years in the Harz and Harz foreland regions of Saxony-Anhalt, Germany.

The data were collected as part of the research project "Possibilities and Methods for the Promotion of Tree Species and Habitats of Native Forests as a Building Block for Adaptation to Climate Change and for Coping with Forest Damage Using the Example of Selected Natura 2000 Areas in Saxony-Anhalt" (10/2020 – 06/2023) (project no. 407.1.10-60128/630120000006) funded by the European Agricultural Fund for Rural Development and the State Administration Office of Saxony-Anhalt. 

The surveys were conducted between the months of July and September in the years 2021 and 2022.
DOI: 10.5281/zenodo.17949219
title: Alleviating UV-induced photoaging with oral hyaluronic acid: insights from a hairless mouse model

description: Dataset for publication Alleviating UV-induced photoaging with oral hyaluronic acid: insights from a hairless mouse model (DOI: 10.1016/j.ijbiomac.2025.146340).
DOI: 10.5281/zenodo.17949218
title: Alleviating UV-induced photoaging with oral hyaluronic acid: insights from a hairless mouse model

description: Dataset for publication Alleviating UV-induced photoaging with oral hyaluronic acid: insights from a hairless mouse model (DOI: 10.1016/j.ijbiomac.2025.146340).
DOI: 10.48657/hnqb-xv06
title: Data from: “Lower Ordovician synziphosurine reveals early euchelicerate diversity and evolution”
DOI: 10.15468/dl.kpef7e
title: Occurrence Download

description: A dataset containing 8796 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Oxyanthus",
 "HasCoordinate is true"
 ]
}

 The dataset includes 8796 records from 129 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0054395-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.11588/duerer.online.694122bb8a015
title: Ansichten von Nürnberg, 189645
DOI: 10.15468/dl.yueka2
title: Occurrence Download

description: A dataset containing 15186 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Cetorhinus maximus"
 ]
}

 The dataset includes 15186 records from 251 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0054394-251120083545085/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.29291150.v3
title: <b>Phenotypic and genomic profiling of multidrug-resistant </b><b><i>Escherichia coli and Klebsiella pneumoniae</i></b><b> isolated from Intensive Care Unit patients in Kenya</b>

description: This data contains bacterial identification readings from VITEK 2. The data also contain phenotypic antibiotic susceptibility profile for bacterial isolates. Genotypic resistance data assessed by detection of AMR and virulence genes is also included.
DOI: 10.6084/m9.figshare.30892391.v1
title: Data used for Global Ecology and Conservation Journal: Research Article Title: The Lion and the Jackal: Community perspectives on carnivores and human-carnivore coexistence along the periphery of one of the largest fenced protected areas in northern Namibia

description: This is the dataset used for understanding human-carnivore interactions along the north-central region of the Greater Etosha Landscape in Namibia. This includes data on livestock depredation, carnivore killings and proportion of livestock killed by different carnivore species along the northern periphery of Etosha National Park.
DOI: 10.6084/m9.figshare.30892451.v1
title: <b>High-Efficiency Zone Design for Multi-Row Planetary Gear Transmission of Hybrid Electric Vehicles</b>

description: To overcome the efficiency degradation caused by independently designing transmission ratios and evaluating mechanical losses in hybrid electric vehicle drivetrains, this study proposes a unified transmission ratio–efficiency coupled modeling and optimization framework for multi-row planetary gear transmissions. An improved kinematic model based on topological analysis is integrated with a refined multi-source loss model that captures meshing, bearing, churning, and windage losses. The resulting nonlinear coupled system is solved using a Newton–Raphson method with adaptive step-size regulation, enabling accurate prediction of speed distribution, torque balance, and efficiency under varying operating conditions. An enhanced Multi-Objective Particle Swarm Optimization (MOPSO) algorithm is further introduced to identify high-efficiency zones and optimize key structural and lubrication parameters. Bench-test verification—including efficiency MAP measurements, thermal endurance tests, and dynamic response evaluations—shows that the proposed model achieves a mean efficiency prediction error of 1.38% and maintains stable thermal and transient performance. The optimized design increases high-efficiency zone coverage from 68.5% to 78.6% and raises comprehensive efficiency from 92.8% to 95.6%. The results demonstrate that the integrated framework offers a computationally efficient and engineering-viable solution for the systematic design and optimization of planetary gear transmissions.
DOI: 10.6084/m9.figshare.30892457.v1
title: Molecular epidemiological characteristics information of Klebsiella pneumoniae

description: Molecular epidemiological characteristics information of Carbapenem-resistant hypervirulent Klebsiella pneumoniae
DOI: 10.6084/m9.figshare.29291150.v2
title: <b>Phenotypic and genomic data of Extended Spectrum Beta Lactamase cephalosporin resistant bacterial isolates from ICU at a referral hospital in Kenya</b>

description: This data contains bacterial identification readings from VITEK 2. The data also contain phenotypic antibiotic susceptibility profile for bacterial isolates. Genotypic resistance data assessed by detection of AMR and virulence genes is also included.
DOI: 10.6084/m9.figshare.30892439
title: Commercial funding of randomized controlled trials of weight-loss interventions using dietary supplements: A rapid review

description: Nutrition research funded by commercial entities may be subject to bias. To date, no study has examined the prevalence of commercial funding in clinical trials of dietary supplements for weight loss. To estimate the prevalence of commercial funding of randomized controlled trials (RCTs) of dietary supplement interventions for weight loss. We conducted a rapid review of English-language RCTs published between 1 January 2023, testing dietary supplements for weight loss. Funding sources were extracted from full texts and categorized as industry, nonprofit, trade association, academic, government, or other. Commercial funders, trade associations, and nonprofits were further reviewed for ties to supplement sales. Of 74 articles reviewed, 59% (<i>n</i> = 44) reported commercial funding, involving 64 unique funders and 118 instances of commercial involvement. More than half of funders sold dietary supplements or had affiliated companies that did, though some affiliations could not be verified due to limited transparency. No nonprofit funders had ties to supplement sales. The majority of RCTs evaluating dietary supplements for weight loss reported commercial funding. Further research is needed to assess whether such funding influences study findings.
DOI: 10.15468/dl.5vwwqz
title: Occurrence Download

description: A dataset containing 7 species occurrences available in GBIF matching the query:
{
 "and" : [
 "GadmGid is CHN.28_1",
 "TaxonKey is Astragalus scabrisetus"
 ]
}

 The dataset includes 7 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0054396-251120083545085/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.30892712
title: Supporting figures for multi-scale estimation of species diversity derived from UAV hyperspectral imagery

description: The dataset includes spatial mapping results of four species diversity indices, Margalef richness, Pielou evenness, Shannon–Wiener diversity, and Simpson dominance, derived from optimal models at multiple spatial resolutions.
DOI: 10.6084/m9.figshare.30892712.v1
title: Supporting figures for multi-scale estimation of species diversity derived from UAV hyperspectral imagery

description: The dataset includes spatial mapping results of four species diversity indices, Margalef richness, Pielou evenness, Shannon–Wiener diversity, and Simpson dominance, derived from optimal models at multiple spatial resolutions.
DOI: 10.5281/zenodo.17289543
title: Data for: Chalcogen Cathodes Beyond Sulfur: The Rising Role of Selenium and Tellurium in Zinc-Ion Energy Storage

description: The dataset contains the raw data and figures for the review paper  entitled "Chalcogen Cathodes Beyond Sulfur: The Rising Role of Selenium and Tellurium in Zinc-Ion Energy Storage",
DOI: 10.5281/zenodo.17289544
title: Data for: Chalcogen Cathodes Beyond Sulfur: The Rising Role of Selenium and Tellurium in Zinc-Ion Energy Storage

description: The dataset contains the raw data and figures for the review paper  entitled "Chalcogen Cathodes Beyond Sulfur: The Rising Role of Selenium and Tellurium in Zinc-Ion Energy Storage",
DOI: 10.5281/zenodo.17949259
title: Combining BEF approach with plant-plant interactions approach - a meta-analysis
DOI: 10.5281/zenodo.17949260
title: Combining BEF approach with plant-plant interactions approach - a meta-analysis
DOI: 10.5281/zenodo.17948615
title: CROCUS WP4 ZRI Questionnaire data of visitors

description: Basic information 



Dataset title: CROCUS WP4 ZRI Surveys of visitors 16-12-2025.txt.

Dataset author(s): Stanislav Ivanov (Zangador Research Institute, Bulgaria), ORCID: https://orcid.org/0000-0002-6851-5823; Maya Ivanova (Zangador Research Institute, Bulgaria), ORCID: https://orcid.org/0000-0002-9270-7892

Dataset contact person: Stanislav Ivanov (Zangador Research Institute, Bulgaria), ORCID: https://orcid.org/0000-0002-6851-5823, email: info@zangador.institute

Dataset license: this dataset is distributed under CC BY-NC (Attribution-NonCommercial) license

Date of publication: 16-12-2025

Embargo: Dataset not accessible to non-CROCUS partners for 3 years, or until CROCUS partners have published on the basis of the dataset

Project information: CROCUS (Cross-Border Cultural and Creative Tourism in Rural and Remote Areas), funded by the European Union under the Horizon Europe Programme. Grant Agreement nº 101132454; https://crocuseurope.eu/. 


Dataset files



README_CROCUS WP4 ZRI Surveys of visitors 16-12-2025.txt

CROCUS WP4 ZRI Questionnaire of visitors BG 16-12-2025.docx - Questionnaire aimed at visitors in the Bulgarian border regions of Dobrich and Silistra in .docx format

CROCUS WP4 ZRI Questionnaire of visitors BG 16-12-2025.txt - Questionnaire aimed at visitors in the Bulgarian border regions of Dobrich and Silistra in .txt format

CROCUS WP4 ZRI Questionnaire of visitors RO 16-12-2025.docx - Questionnaire aimed at visitors in the Romanian border region of Constanta in .docx format

CROCUS WP4 ZRI Questionnaire of visitors RO 16-12-2025.txt - Questionnaire aimed at visitors in the Romanian border region of Constanta in .txt format

CROCUS WP4 ZRI Questionnaire of visitors EN 16-12-2025.docx - English translation of the questionnaire aimed at visitors with coding explanations

CROCUS WP4 ZRI Questionnaire data of visitors 16-12-2025.csv – Results of the survey of visitors in the Bulgarian border regions of Dobrich and Silistra and in the Romanian border region of Constanta


Dataset documentation



Dataset summary: Surveys of visitors focusing on attitudes to tourism in the administrative regions adjacent to the Bulgarian-Romanian border in Dobrudzha

Three questionnaires and survey results that illuminate the perceptions of visitors to current impact and future development of tourism in the administrative regions adjacent to the Bulgarian-Romanian border in Dobrudzha as part of CROCUS WP4 Cross-border Living Lab Areas: Resources, Needs & Challenges

Data sources: Online survey distributed via social media platforms and the emails of some visitors to both sides of the border

Data processing and preparation: Survey responses were collected using Google Forms, and data was subsequently exported to Excel. Statistical analyses were performed with SPSS.

Ethical approval: Not required as the survey is anonymous and does not cover personal/health questions.