cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15468/dl.3up652
title: Occurrence Download

description: A dataset containing 921422 species occurrences available in GBIF matching the query:
{
 "and" : [
 "DatasetKey is EOD – eBird Observation Dataset",
 "GadmGid is one of (ESP.10.3_1, FIN.4.3.1_1, FIN.5.5.1_1, FIN.5.9.3_1, EST.1.20_1, LTU.10_1, FRA.1.8.1_1)"
 ]
}

 The dataset includes 921422 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0014627-250310093411724/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.bexnx6
title: Occurrence Download

description: A dataset containing 81 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Contarinia pyrivora (Riley, 1886)",
 "HasGeospatialIssue is false",
 "HasCoordinate is true"
 ]
}

 The dataset includes 81 records from 8 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0014635-250310093411724/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.15044221
title: Multiple sclerosis QOL
DOI: 10.5281/zenodo.15044222
title: Multiple sclerosis QOL
DOI: 10.25345/c5pn8xt26
title: MassIVE MSV000097354 - 20250318 Comprehensive Investigation into the Diterpenoid Constituents of Isodon serra and Their Potential Hepatoprotective Activities: Isolation, Structure Elucidation, Biological Evaluation, Mechanistic Insights, and Prospects for Novel Therapeutic Development in Modern Medicine
title: Comprehensive Investigation into the Diterpenoid Constituents of Isodon serra and Their Potential Hepatoprotective Activities: Isolation, Structure Elucidation, Biological Evaluation, Mechanistic Insights, and Prospects for Novel Therapeutic Development in Modern Medicine
DOI: 10.4121/bca52e88-5081-4d83-9484-ce6693190db4
title: Data underlying the publication: Water content of ion-exchange membranes: Measurement technique and influence on the ion mobility

description: This dataset was collected at the Laboratory of Environmental Technology, Wageningen University & Research in 2023/2024. It is supplementary data for the PhD thesis of Alaaeldin Elozeiri and the publication of "Water content of ion-exchange membranes: Measurement technique and influence on the ion mobility”. We studied the following properties of commercial cation-exchange membranes: the membrane water content, the membrane water volume fraction, the membrane resistance, the ion-exchange capacity, the membrane thickness, the ionic charge density, and the ion mobility inside the membrane.<br>This research was performed within the framework of the research program AquaConnect, funded by the Dutch Research Council (NWO, grant-ID P19-45) and public and private partners of the AquaConnect consortium and coordinated by Wageningen University and Research.
DOI: 10.4121/bca52e88-5081-4d83-9484-ce6693190db4.v1
title: Data underlying the publication: Water content of ion-exchange membranes: Measurement technique and influence on the ion mobility

description: This dataset was collected at the Laboratory of Environmental Technology, Wageningen University & Research in 2023/2024. It is supplementary data for the PhD thesis of Alaaeldin Elozeiri and the publication of "Water content of ion-exchange membranes: Measurement technique and influence on the ion mobility”. We studied the following properties of commercial cation-exchange membranes: the membrane water content, the membrane water volume fraction, the membrane resistance, the ion-exchange capacity, the membrane thickness, the ionic charge density, and the ion mobility inside the membrane.<br>This research was performed within the framework of the research program AquaConnect, funded by the Dutch Research Council (NWO, grant-ID P19-45) and public and private partners of the AquaConnect consortium and coordinated by Wageningen University and Research.
DOI: 10.5281/zenodo.15044204
title: Leveraging Science Communication for Innovation and Entrepreneurship in Science and Technology Parks

description: Science and Technology Parks (STPs) serve as crucial ecosystems for fostering innovation and entrepreneurship by integrating academia, industry, and government efforts to drive technological advancements and economic growth. However, the success of STPs is heavily dependent on effective science communication, which extends beyond merely disseminating research findings. This research explores the pivotal role of science communication in enhancing the impact of STPs by facilitating knowledge transfer, promoting interdisciplinary collaboration, and raising public awareness. By effectively communicating scientific discoveries to industry professionals, policymakers, and the public, STPs can bridge the gap between research and its application, fostering the commercialization of innovations and contributing to broader societal and economic development. Case studies of renowned institutions such as Stanford Research Park and MIT demonstrate the significance of strategic science communication in transforming academic research into industrial innovation. Additionally, the study highlights the evolving landscape of science communication within OIC member countries, emphasizing the importance of tailored strategies to address regional challenges and opportunities. The paper concludes with recommendations for enhancing science communication practices within STPs, particularly in OIC member countries, through strategic investments, support from organizations like COMSTECH, and the development of a Science Communication Media Resource Kit. These initiatives are essential for maximizing the impact of STPs and driving sustainable innovation and entrepreneurship.
DOI: 10.5281/zenodo.15044205
title: Leveraging Science Communication for Innovation and Entrepreneurship in Science and Technology Parks

description: Science and Technology Parks (STPs) serve as crucial ecosystems for fostering innovation and entrepreneurship by integrating academia, industry, and government efforts to drive technological advancements and economic growth. However, the success of STPs is heavily dependent on effective science communication, which extends beyond merely disseminating research findings. This research explores the pivotal role of science communication in enhancing the impact of STPs by facilitating knowledge transfer, promoting interdisciplinary collaboration, and raising public awareness. By effectively communicating scientific discoveries to industry professionals, policymakers, and the public, STPs can bridge the gap between research and its application, fostering the commercialization of innovations and contributing to broader societal and economic development. Case studies of renowned institutions such as Stanford Research Park and MIT demonstrate the significance of strategic science communication in transforming academic research into industrial innovation. Additionally, the study highlights the evolving landscape of science communication within OIC member countries, emphasizing the importance of tailored strategies to address regional challenges and opportunities. The paper concludes with recommendations for enhancing science communication practices within STPs, particularly in OIC member countries, through strategic investments, support from organizations like COMSTECH, and the development of a Science Communication Media Resource Kit. These initiatives are essential for maximizing the impact of STPs and driving sustainable innovation and entrepreneurship.
DOI: 10.5281/zenodo.14289666
title: Image-based yield prediction for tall fescue using random forests and convolutional neural networks

description: This record contains all data used in the research paper 'Image-based yield prediction for tall fescue using random forests and convolutional neural networks' by Ghysels, S., De Baets, B., Reheul, D. and Maenhout, S. 'Train_dataset.zip' and 'Test_dataset.zip' contain the RGB images of individual tall fescue plants, split into a training set and test set respectively. 'Multigras_data.csv' contains the dry matter yield measurements ('DMY (kg/ha)'), the breeder's evaluation scores ('Score MG') and the location of each individual plant on the field ('Blok_Rij_Plantnr', meaning Block-row-column).
DOI: 10.5281/zenodo.14289667
title: Image-based yield prediction for tall fescue using random forests and convolutional neural networks

description: This record contains all data used in the research paper 'Image-based yield prediction for tall fescue using random forests and convolutional neural networks' by Ghysels, S., De Baets, B., Reheul, D. and Maenhout, S. 'Train_dataset.zip' and 'Test_dataset.zip' contain the RGB images of individual tall fescue plants, split into a training set and test set respectively. 'Multigras_data.csv' contains the dry matter yield measurements ('DMY (kg/ha)'), the breeder's evaluation scores ('Score MG') and the location of each individual plant on the field ('Blok_Rij_Plantnr', meaning Block-row-column).
DOI: 10.15468/dl.pmc9mq
title: Occurrence Download

description: A dataset containing 29 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Czechia",
 "TaxonKey is Anemonastrum narcissiflorum (L.) Holub"
 ]
}

 The dataset includes 29 records from 10 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0014636-250310093411724/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.15044247
title: Reynolds' Stress Data
DOI: 10.5281/zenodo.15044248
title: Reynolds' Stress Data
DOI: 10.15468/dl.a5uj4c
title: Occurrence Download

description: A dataset containing 88 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Contarinia bromicola (Marikovskii & Agafonova, 1961)",
 "HasGeospatialIssue is false",
 "HasCoordinate is true"
 ]
}

 The dataset includes 88 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0014637-250310093411724/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.pzceyb
title: Occurrence Download

description: A dataset containing 9558 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Hemorrhois hippocrepis (Linnaeus, 1758)"
 ]
}

 The dataset includes 9558 records from 72 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0014638-250310093411724/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.69ayrx
title: Occurrence Download

description: A dataset containing 137 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Manis temminckii Smuts, 1832"
 ]
}

 The dataset includes 137 records from 13 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0014642-250310093411724/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.7uu2r5
title: Occurrence Download

description: A dataset containing 7 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is one of (Observation, Material citation, Material sample, Human Observation)",
 "Country is one of (China, Bhutan)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Zhangixalus smaragdinus (Blyth, 1852)",
 "Year 1928-2025"
 ]
}

 The dataset includes 7 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0014643-250310093411724/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/11072970
title: Visual Scene Instructions for Generative LLMs
DOI: 10.15468/dl.uxh97m
title: Occurrence Download

description: A dataset containing 477 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((34.93882 51.36339,34.79145 50.88236,34.7832 50.54638,35.13335 48.96424,34.92585 47.4599,35.14631 46.3965,35.92442 46.1501,36.5469 46.25385,37.84374 46.62993,38.82933 47.1746,40.29476 48.00458,40.74865 49.23657,40.12617 49.78124,37.37688 50.97434,34.93882 51.36339))",
 "TaxonKey is Accipiter gentilis (Linnaeus, 1758)"
 ]
}

 The dataset includes 477 records from 27 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0014646-250310093411724/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.14017556
title: Revised ELN criteria in Polycythemia vera identify an increased risk phenotype for thrombotic events beyond conventional risk stratification. A multicenter cooperative study
DOI: 10.5281/zenodo.14017557
title: Revised ELN criteria in Polycythemia vera identify an increased risk phenotype for thrombotic events beyond conventional risk stratification. A multicenter cooperative study
DOI: 10.5281/zenodo.15006745
title: Single-nucleotide polymorphism matrices for parental lines of a large diversity hybrid panel of wheat (Triticum aestivum L.)

description: A total of 588 wheat (Triticum aestivum L.) samples were characterized using whole genome resequencing. DNA was extracted from 10-cm-long leaves of 10-day-old seedlings. The raw sequenced data of 131 parental lines and 5 checks was released at the European Nucleotide Archive (ENA, https://www.ebi.ac.uk/ena/) under Project IDs PRJEB48738. The newly 452 wheat samples' raw sequenced data have been deposited at ENA under the project IDs PRJEB82869. High-quality sequence reads were aligned against the hexaploid wheat reference genome assembly cv. Chinese Spring (IWGSC RefSeq v2.1). Bi-allelic SNPs with minimum QUAL ≥ 40, minimum read depth for homozygous call ≥ 1, and minimum read depth for heterozygous calls ≥ 2 were retained and VCF files generated. The SNPs with missing rate less than 30%, homozygous genotypes for each allele more than 10 and heterozygosity less than 1% were kept in this dataset.
DOI: 10.5281/zenodo.15006746
title: Single-nucleotide polymorphism matrices for parental lines of a large diversity hybrid panel of wheat (Triticum aestivum L.)

description: A total of 588 wheat (Triticum aestivum L.) samples were characterized using whole genome resequencing. DNA was extracted from 10-cm-long leaves of 10-day-old seedlings. The raw sequenced data of 131 parental lines and 5 checks was released at the European Nucleotide Archive (ENA, https://www.ebi.ac.uk/ena/) under Project IDs PRJEB48738. The newly 452 wheat samples' raw sequenced data have been deposited at ENA under the project IDs PRJEB82869. High-quality sequence reads were aligned against the hexaploid wheat reference genome assembly cv. Chinese Spring (IWGSC RefSeq v2.1). Bi-allelic SNPs with minimum QUAL ≥ 40, minimum read depth for homozygous call ≥ 1, and minimum read depth for heterozygous calls ≥ 2 were retained and VCF files generated. The SNPs with missing rate less than 30%, homozygous genotypes for each allele more than 10 and heterozygosity less than 1% were kept in this dataset.
DOI: 10.15468/dl.fbwd9x
title: Occurrence Download

description: A dataset containing 5968 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is Occurrences of protected species of insects in Italy"
 ]
}

 The dataset includes 5968 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0014647-250310093411724/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.8rzq5j
title: Occurrence Download

description: A dataset containing 706 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Conoderus exsul (Sharp, 1877)",
 "HasGeospatialIssue is false",
 "HasCoordinate is true"
 ]
}

 The dataset includes 706 records from 9 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0014648-250310093411724/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.tput74
title: Occurrence Download

description: A dataset listing the 26 species recorded in GBIF matching the query:
{
 "DatasetKey" : [
 "is Zone Atelier Armorique Flora LTER France"
 ]
}

 The dataset's 26 records were derived from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0014641-250310093411724/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.15044265
title: Pharmacovigilance Communication to Prevent Adverse Events in OIC Member States

description: Pharmacovigilance is crucial in ensuring public health and safety by monitoring and managing adverse events following immunization (AEFI). Effective communication is a vital component of pharmacovigilance, enabling the timely detection, assessment, and prevention of adverse events. The article emphasizes the need for accurate, trustworthy, and clear information, and highlights the role of graphic design, social media, and risk communication in pharmacovigilance. This article aims to promote best practices and enhance public health outcomes by exploring the challenges and opportunities in pharmacovigilance communication. Ultimately, effective communication in pharmacovigilance can save lives and prevent harm, making it an essential aspect of healthcare policy and practice Pharmacovigilance.
DOI: 10.5281/zenodo.15044266
title: Pharmacovigilance Communication to Prevent Adverse Events in OIC Member States

description: Pharmacovigilance is crucial in ensuring public health and safety by monitoring and managing adverse events following immunization (AEFI). Effective communication is a vital component of pharmacovigilance, enabling the timely detection, assessment, and prevention of adverse events. The article emphasizes the need for accurate, trustworthy, and clear information, and highlights the role of graphic design, social media, and risk communication in pharmacovigilance. This article aims to promote best practices and enhance public health outcomes by exploring the challenges and opportunities in pharmacovigilance communication. Ultimately, effective communication in pharmacovigilance can save lives and prevent harm, making it an essential aspect of healthcare policy and practice Pharmacovigilance.
DOI: 10.34740/kaggle/dsv/11073008
title: World Stock Prices ( Daily Updating )
DOI: 10.26302/sshade/experiment_mr_20241002_001
title: Hg L3 edge XAS transmission of Hg compounds at 10K
DOI: 10.6084/m9.figshare.28607009
title: Stacked cross-correlation functions data for: Internal structure of the Mantle Transition Zone beneath the contiguous U.S.: Insights from the 520-km discontinuity revealed by ambient noise correlations.

description: This repository contains:Pre-processed ambient seismic noise cross-correlation function data (ccf_tempstack_0310_svd6_thresh000.hdf5)Stacked cross-correlation function data (output_400_520_0310_USSL2014)Picked depths for the d520 (depthconv_0310_400_520_USSL2014.hdf5)Picked depths for the d560 (depthconv_0310_400_560_USSL2014.hdf5)<br><br>associated with the paper Aiman et al. (2025), submitted to the Geophysical Research Letters (preprint available: https://essopenarchive.org/users/877771/articles/1270699-internal-structure-of-the-mantle-transition-zone-beneath-the-contiguous-u-s-insights-from-the-520-km-discontinuity-revealed-by-ambient-noise-correlations).<br>The pre-processed ambient seismic noise cross-correlation function data includes the cross-correlation function (CCF) data and station coordinates. For detailed information on the preprocessing and station details, please refer to the paper.<br>The d520 and d560 depth data include grid locations (longitude and latitude) and corresponding discontinuity depths. For a detailed description of the picking strategy, please refer to the paper. <br>The regionally stacked data is organized into folders, each corresponding to a specific profile measurement (e.g., 'N2600' represents a profile along 26 degrees latitude). Within each folder, data is stored in HDF5 format, with individual files containing regionally stacked cross-correlation functions for each grid point.
DOI: 10.18150/qtafps
title: Investigation of X rays beams uniformity in radiotherapeutic tumor treatment procedure using LuAG:Ce crystal detectors

description: In this study, Ce3+ doped Lu3Al5O12 garnet (LuAG) crystal detectors, with a density of 6.0 g/cm³ and an effective atomic number (Zeff) of 62, are proposed as promising materials for radiotherapy applications. This type of detector demonstrate excellent uniformity of structural and optical properties, high thermoluminescence (TL) light yield, optimal position of main TL glow peaks at temperatures around 245–295°C, and high radiation stability. The set of TL detectors made from LuAG single crystal were used to evaluate the uniformity of dose and energy spectra of X-ray radiation from a clinical accelerator with 6 MV and 15 MV beams at the Department of Medical Physics, Oncology Center in Bydgoszcz, Poland, and γ-rays from a 60Co source at the National Institute of Oncology in Warsaw. The LuAG crystal detectors demonstrated highly promising results for registering X-ray radiation from accelerators with both 6 MV and 15 MV electron beams, as well as γ-rays from a 60Co source with energies of 1.17 and 1.33 MeV.
DOI: 10.34740/kaggle/dsv/11072430
title: Brain Tumor MRI Image Dataset
DOI: 10.34740/kaggle/dsv/11072909
title: Medical Imaging (CT-Xray) Colorization New Dataset
DOI: 10.2909/bdae5454-f6a6-484e-9c82-318e101a7547
title: Industrial Reporting under the Industrial Emissions Directive 2010/75/EU and European Pollutant Release and Transfer Register Regulation (EC) No 166/2006 Ver 12.0 Mar. 2025 (Spatial data)

description: This metadata refers to the geospatial dataset representing the status of the EEA Industrial Reporting database as of 10 March 2025 (version 14). 
The release and emissions data cover the period 2007-2023 as result of the data reported under the E-PRTR facilities, 2017-2023 for IED installations and WI/co-WIs, and 2016-2023 for LCPs. 
These data are reported to EEA under Industrial Emissions Directive (IED) 2010/75/EU Commission Implementing Decision 2018/1135 and the European Pollutant Release and Transfer Register (E-PRTR) Regulation (EC) No 166/2006 Commission Implementing Decision 2019/1741. The dataset brings together data formerly reported separately under E-PRTR Regulation Art.7 and under IED Art.72. Additional reporting requirements under the IED are also included.