cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.7294/28303751.v1
title: Cross-Sectional Survey of Cybercriminology – April 2022 International Sample.

description: This survey is part of a series of cross-sectional online polls that begin in 2019. The questions focus on three main areas: cyber offending, cyber victimization, and criminology. Demographic and other computer-use questions are also included.The current 2022 sample here includes three separate samples. These include the U.S. sample (English), the Hungarian sample (Hungarian), and the Finnish sample (Finnish). Separate Surveys and sample variables are included.
DOI: 10.15468/dl.3rsc2y
title: Occurrence Download

description: A dataset containing 35903 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is Flora y vegetación de la región terrestre prioritaria Tacaná-Boquerón, Chiapas, México"
 ]
}

 The dataset includes 35903 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0005713-250127130748423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.4nyq2r
title: Occurrence Download

description: A dataset containing 4583 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Mazama gouazoubira G.Fischer",
 "HasCoordinate is true"
 ]
}

 The dataset includes 4583 records from 66 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0005714-250127130748423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.6nj393
title: Occurrence Download

description: A dataset containing 130 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Peru",
 "TaxonKey is Thomasomys aureus (Tomes, 1860)"
 ]
}

 The dataset includes 130 records from 9 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0005715-250127130748423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.zf9cqd
title: Occurrence Download

description: A dataset containing 9 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((-135.94694 59.74256,-128.22336 59.74256,-128.22336 61.20818,-135.94694 61.20818,-135.94694 59.74256))",
 "TaxonKey is Dicrotendipes modestus (Say, 1823)"
 ]
}

 The dataset includes 9 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0005717-250127130748423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.n9pjpb
title: Occurrence Download

description: A dataset containing 1604 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Wyethia glabra A.Gray"
 ]
}

 The dataset includes 1604 records from 50 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0005718-250127130748423/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.28319048
title: Kaplan et al. 2025: humpback whale observation, krill length, caloric, and net tow data

description: Data produced by Kaplan et al. 2025 ICES Journal of Marine Science: "Krill swarm biomass, energetic density, and species composition drive humpback whale distribution in the Northern California Current"AbstractPrey abundance and quality are dynamic in time and space, impacting predator ecology. We examine variation in species-specific krill quantity and quality as prey for humpback whales in the Northern California Current region, using generalized additive models to assess metrics including biomass and energy density derived from an integrated dataset of concurrent active acoustics, net tows, and marine mammal observations (2018–2022). Overall, prey metrics were positively correlated with humpback whale presence, with increasing trends modified by seasonal (early versus late foraging season) and spatial (continental shelf versus offshore) variation (model deviance explained 36.3%–40.8%). Biomass and energy density had strong positive effects on humpback whale presence, suggesting whales target high-quality swarms that offer more energy per lunge. Elevated <i>Thysanoessa spinifera</i> abundance near humpback whales suggests that they target this species, particularly in the late season when they are energetically richer than <i>Euphausia pacifica</i>, the region’s other abundant krill species. Environmental change may decrease krill abundance and quality, impacting humpback whales’ ability to meet energetic requirements and potentially driving changes in their distributions and exposure to anthropogenic threats. Clarifying drivers of humpback whale krill patch selection can improve species distribution models and aid managers in mitigating risk to whales.
DOI: 10.34658/rdb.jjkquf
title: Fate and health implications of the radioactive ultrafine aerosols in the air.

description: Fine and ultra fine particles with attached radioactive ions, often highly toxic and carcinogenic, can cause serious health issues. Radioactive internal contaminations can pose acute and chronic health problems. Due to environmental significance of nanoparticles associated with radioactive isotopes natural or artificial origin, this article presents its transport in the troposphere, as worldwide pollution and the health risk these particles can pose. This study evaluates the public health impact of radioactive isotopes released during radiological accidents, focusing on inhalation doses in contaminated regions from three cases: Chernobyl (1986), Fukushima (2011), and ruthenium-103/106 emissions (2017). It highlights the critical role of aerosol particle size and atmospheric residence time in health risk assessment and crisis decision-making. This information are crucial in the context of crisis management, evacuation planning, and future intervention actions, for radiation protection of public. Knowledge about the fate of isotopes, their concentration, and the dynamics of their washout from the atmosphere is particularly useful during rescue operations for responders working in the direct exposure region.
DOI: 10.34658/rdb.jjkquf/7myvyn
title: fig 2 a, b, c.pdf

description: :unav
DOI: 10.34658/rdb.jjkquf/c6veq4
title: table 1.docx

description: :unav
DOI: 10.34658/rdb.jjkquf/eaaa1n
title: dane do przeliczen.xlsx

description: :unav
DOI: 10.34658/rdb.jjkquf/ykgjy0
title: Fig1.png

description: :unav
DOI: 10.34658/rdb.jjkquf/zasfcb
title: table 2.docx

description: :unav
DOI: 10.15468/dl.n74yw7
title: Occurrence Download

description: A dataset containing 376716 species occurrences available in GBIF matching the query:
{
 "and" : [
 "DatasetKey is iNaturalist Research-grade Observations",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Country is one of (Canada, Mexico, United States of America)",
 "EventDate is greater than or equal to 2024-12-05",
 "EventDate is less than or equal to 2025-01-04",
 {
 "not" : {
 "Issue" : [
 "is one of (Basis of record invalid, Coordinate reprojection failed, Coordinate reprojection suspicious, Coordinate precision invalid, Coordinate uncertainty meters invalid, Country mismatch, Country invalid, Geodetic datum invalid, Presumed swapped coordinate, Presumed negated longitude, Presumed negated latitude, Country coordinate mismatch)"
 ]
 }
 }
 ]
}

 The dataset includes 376716 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0005702-250127130748423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.wzdhwf
title: Occurrence Download

description: A dataset containing 6 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Boana latistriata (Caramaschi & Cruz, 2004)"
 ]
}

 The dataset includes 6 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0005719-250127130748423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.13020/qwff-b936
title: Supplementary raw data for α‐N‐Methyltransferase regiospecificity is mediated by proximal, redundant enzyme–substrate interactions

description: The data deposited here are raw mass spectrometry files associated with the results presented in the paper, "α‐N‐Methyltransferase regiospecificity is mediated by proximal, redundant enzyme–substrate interactions." These data have been made publicly available in keeping with our lab's data availability policy.
description: Data includes 64 .raw files which represent individually run in-vitro samples used for supplementary figures.
DOI: 10.15468/dl.qdhwq3
title: Occurrence Download

description: A dataset containing 86653 species occurrences available in GBIF matching the query:
{
 "and" : [
 "DatasetKey is iNaturalist Research-grade Observations",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Country is one of (Canada, Mexico, United States of America)",
 "EventDate is greater than or equal to 2025-01-05",
 "EventDate is less than or equal to 2025-02-04",
 {
 "not" : {
 "Issue" : [
 "is one of (Basis of record invalid, Coordinate reprojection failed, Coordinate reprojection suspicious, Coordinate precision invalid, Coordinate uncertainty meters invalid, Country mismatch, Country invalid, Geodetic datum invalid, Presumed swapped coordinate, Presumed negated longitude, Presumed negated latitude, Country coordinate mismatch)"
 ]
 }
 }
 ]
}

 The dataset includes 86653 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0005720-250127130748423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.v2vewh
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Lythrum acutangulum Lag.",
 "InstitutionCode is iNaturalist",
 "Geometry POLYGON ((-3.86553 39.95807, -3.885895 39.89575, -3.824824 39.86701, -3.62178 39.94537, -3.561026 39.98827, -3.520564 39.9895, -3.459933 40.01183, -3.359005 40.03528, -3.338892 40.04611, -3.208099 40.0293, -3.05762 40.0436, -3.02758 40.11607, -3.097663 40.29819, -3.127785 40.30755, -3.127785 40.42983, -3.198053 40.5601, -3.268422 40.57844, -3.298611 40.66893, -3.338892 40.66774, -3.419513 40.74642, -3.419553 40.78689, -3.449835 40.82644, -3.379206 41.03034, -3.399375 41.04989, -3.419553 41.10967, -3.480095 41.12802, -3.500345 41.16757, -3.581269 41.18518, -3.662324 41.14245, -3.824824 41.00637, -3.936844 40.9623, -3.957237 40.95152, -3.987843 40.81925, -4.090031 40.80557, -4.202586 40.68013, -4.19234 40.63997, -4.243589 40.6381, -4.253845 40.69851, -4.315462 40.68614, -4.346237 40.67482, -4.315422 40.59489, -4.37707 40.43012, -4.43879 40.42773, -4.479976 40.34477, -4.562443 40.36188, -4.583079 40.19791, -4.541814 40.16894, -4.418209 40.21456, -4.397595 40.24596, -4.315422 40.19801, -4.171894 40.25425, -4.151376 40.21421, -4.049108 40.21782, -3.906269 40.16143, -3.86553 40.16275, -3.824824 40.13347, -3.804523 40.14436, -3.78415 40.10412, -3.682608 40.10738, -3.652185 40.09811, -3.682648 40.04596, -3.743509 40.02353, -3.78419 39.98126, -3.86553 39.95807))"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0005722-250127130748423/datasets/export for details.
DOI: 10.25934/pr00009099
title: An exploration of UK real world evidence and comparison with clinical trial data in supporting evaluation of 4 drugs that have exited the United Kingdom’s Cancer Drugs Fund (CDF).

description: We want to compare real-world data from the Systemic Anti-Cancer Therapies (SACT) database with clinical trial data for certain chemotherapy treatments to see how outcomes differ and explore why these differences might exist. The SACT database includes information on all cancer treatments given across  National Health Service (NHS) 
 England. For a drug to be used in the UK, it needs approval from NICE (National Institute for Clinical Excellence), which evaluates the clinical and cost-effectiveness of new treatments through a process called Health Technology Appraisal (HTA). If NICE is not sure about a drug’s effectiveness, the Cancer Drugs Fund (CDF) allows patients to access it while further assessments are performed.

We have chosen four chemotherapy treatments that NICE has reviewed with varying recommendations: 
• Ixazomib with lenalidomide and dexamethasone (TA870, 2023) 
• Pembrolizumab (TA766, 2021) 
• Ibrutinib (TA795, 2022) 
• Nivolumab + Ipilimumab (TA780, 2022)

To carry out this research, we will need pseudonymised patient-level data (data where personal identifiers have been removed to protect privacy) from the clinical trials that were submitted to NICE. We will also request pseudonymised data from NHS England’s routine datasets for patients who received these treatments. The patients will be identified using the SACT dataset, which records chemotherapy use, and the Cancer Registry, which records cancer types. Each patient in NHS England’s databases has a unique pseudonymised ID, allowing for detailed follow-up across various data sources (such as the Radiotherapy Dataset, Hospital Episode Statistics, SACT, Cancer Registry, and Outcomes and Services Dataset).

This study is important because it could impact how future chemotherapy assessments are conducted and show if real-world data can support clinical trial findings for decision-making. We will also conduct additional analysis using updated UK routine data to compare patient outcomes during and after the CDF period, providing comprehensive long-term surveillance. This work may help inform updates to NICE’s guidance for these therapies.
DOI: 10.5281/zenodo.10607692
title: Data accompanying the GitHub repository bartonlab/paper-binary-trait-inference

description: This dataset contains data from simulations and analysis of within-host HIV-1 evolution that accompany the GitHub repository bartonlab/binary_trait. The GitHub repository contains code and data for reproducing results described in the manuscript "Inferring selection for HIV-1 escape from T cell responses using a binary trait model." See the GitHub repository for details on the interpretation and analysis of this data.
DOI: 10.5281/zenodo.10734282
title: Data accompanying the GitHub repository bartonlab/paper-binary-trait-inference

description: This dataset contains data from simulations and analysis of within-host HIV-1 evolution that accompany the GitHub repository bartonlab/binary_trait. The GitHub repository contains code and data for reproducing results described in the manuscript "Inferring selection for HIV-1 escape from T cell responses using a binary trait model." See the GitHub repository for details on the interpretation and analysis of this data.
DOI: 10.5281/zenodo.13765439
title: Data accompanying the GitHub repository bartonlab/paper-binary-trait-inference

description: This dataset contains data from simulations and analysis of within-host HIV-1 evolution that accompany the GitHub repository bartonlab/binary_trait. The GitHub repository contains code and data for reproducing results described in the manuscript "Inferring selection for HIV-1 escape from T cell responses using a binary trait model." See the GitHub repository for details on the interpretation and analysis of this data.
DOI: 10.5281/zenodo.14775334
title: Data accompanying the GitHub repository bartonlab/paper-binary-trait-inference

description: This dataset contains data from simulations and analysis of within-host HIV-1 evolution that accompany the GitHub repository bartonlab/binary_trait. The GitHub repository contains code and data for reproducing results described in the manuscript "Inferring selection for HIV-1 escape from T cell responses using a binary trait model." See the GitHub repository for details on the interpretation and analysis of this data.
DOI: 10.5281/zenodo.7666523
title: Data accompanying the GitHub repository bartonlab/paper-binary-trait-inference

description: This dataset contains data from simulations and analysis of within-host HIV-1 evolution that accompany the GitHub repository bartonlab/binary_trait. The GitHub repository contains code and data for reproducing results described in the manuscript "Inferring selection for HIV-1 escape from T cell responses using a binary trait model." See the GitHub repository for details on the interpretation and analysis of this data.
DOI: 10.5281/zenodo.7666524
title: Data accompanying the GitHub repository bartonlab/binary_trait

description: This dataset contains data from simulations and analysis of within-host HIV-1 evolution that accompany the GitHub repository bartonlab/binary_trait. The GitHub repository contains code and data for reproducing results described in the manuscript "Inferring selection for HIV-1 escape from T cell responses using a binary trait model." See the GitHub repository for details on the interpretation and analysis of this data.
DOI: 10.5281/zenodo.7668374
title: Data accompanying the GitHub repository bartonlab/binary_trait

description: This dataset contains data from simulations and analysis of within-host HIV-1 evolution that accompany the GitHub repository bartonlab/binary_trait. The GitHub repository contains code and data for reproducing results described in the manuscript "Inferring selection for HIV-1 escape from T cell responses using a binary trait model." See the GitHub repository for details on the interpretation and analysis of this data.
DOI: 10.5281/zenodo.7668387
title: Data accompanying the GitHub repository bartonlab/binary_trait

description: This dataset contains data from simulations and analysis of within-host HIV-1 evolution that accompany the GitHub repository bartonlab/binary_trait. The GitHub repository contains code and data for reproducing results described in the manuscript "Inferring selection for HIV-1 escape from T cell responses using a binary trait model." See the GitHub repository for details on the interpretation and analysis of this data.
DOI: 10.25345/c5x05xr0t
title: MassIVE MSV000097001 - Split-TurboID identifies new functions of basal cell polarity in Arabidopsis
title: The formation of a body axis is one of the fundamental initial steps in developmental patterning in multicellular organisms. Ectopic expression of the stomatal protein BASL (BREAKING OF ASYMMETRY IN THE STOMATAL LINEAGE) reveals a proximal-distal cell polarity field in the leaf and an apical-basal field in the hypocotyl and root of Arabidopsis. This provides a framework for uncovering new molecular components of body-axis cell polarity in higher plants. In this study, we developed a proximity labeling-based complementation system, termed tSYID (tandem fusion of Split YFP and TurboID), to enable simultaneous visualization and identification of the tissue-wide cell polarity module marked by interacting BASL and BREVIS RADIX-LIKE 2 (BRXL2) proteins in Arabidopsis. This contact-based tSYID system focuses the identification of protein interactome proximal to the protein-protein interaction site. By combining proximity labeling with tSYID and mass spectrometry, we identified protein candidates homologous to conserved components of planar cell polarity in metazoans, which remain uncharacterized in plants. Among them, an AGC protein kinases displayed highly polarized localization at the basal membrane in the hypocotyl and root. Knocking out three close AGC homologs in Arabidopsis resulted in compromised hypocotyl growth in the dark, suggesting a functional connection between basal cell polarity and plant upward growth. Our study demonstrates the power of using the split-TurboID strategy to uncover proximal proteomes near protein activity sites and highlights an underappreciated crosstalk between developmentally programmed body axes and environmentally influenced growth vectors
DOI: 10.15468/dl.h39smq
title: Occurrence Download

description: A dataset containing 49683 species occurrences available in GBIF matching the query:
{
 "and" : [
 "OccurrenceStatus is Present",
 "TaxonKey is Paulownia tomentosa (Thunb.) Steud."
 ]
}

 The dataset includes 49683 records from 547 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0005723-250127130748423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.14771724
title: Data for "PolSpec: polarisation-based detection for versatile, cost-effective rapid hyperspectral imaging"

description: This repository contains data for the article "PolSpec: polarisation-based detection for versatile, cost-effective rapid hyperspectral imaging".
DOI: 10.5281/zenodo.14771725
title: Data for "PolSpec: polarisation-based detection for versatile, cost-effective rapid hyperspectral imaging"

description: This repository contains data for the article "PolSpec: polarisation-based detection for versatile, cost-effective rapid hyperspectral imaging".
DOI: 10.15468/dl.7b6p89
title: Occurrence Download

description: A dataset containing 189321 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Greece",
 "DatasetKey is Observation.org, Nature data from around the World",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Aves"
 ]
}

 The dataset includes 189321 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0005721-250127130748423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.3jzzkp
title: Occurrence Download

description: A dataset containing 41 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((-51.53465 -5.46387,-48.88008 -5.8181,-47.49865 -5.08521,-46.80243 -4.10417,-47.03977 -1.16104,-51.25554 -1.25736,-51.53465 -5.46387))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Bothrops Wagler, 1824"
 ]
}

 The dataset includes 41 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0005726-250127130748423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.4ujz38
title: Occurrence Download

description: A dataset containing 4502 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Rhithropanopeus harrisii (Gould, 1841)"
 ]
}

 The dataset includes 4502 records from 97 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0005727-250127130748423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.sad6mg
title: Occurrence Download

description: A dataset containing 10 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((-137.63736 60.5685,-134.89117 60.5685,-134.89117 61.00406,-137.63736 61.00406,-137.63736 60.5685))",
 "TaxonKey is Discobola annulata (Linnaeus, 1758)"
 ]
}

 The dataset includes 10 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0005728-250127130748423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.