cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5061/dryad.3gk26
title: Data from: Among- and within-population variation in flowering time of Iberian Arabidopsis thaliana estimated in field and glasshouse conditions

description: The study of the evolutionary and population genetics of quantitative
 traits requires the assessment of within- and among-population patterns of
 variation. We carried out experiments including eight Iberian Arabidopsis
 thaliana populations (10 individuals per population) in glasshouse and
 field conditions. We quantified among- and within-population variation for
 flowering time and for several field life-history traits. Individuals were
 genotyped with microsatellites, single nucleotide polymorphisms and four
 well-known flowering genes (FRI, FLC, CRY2 and PHYC). Phenotypic and
 genotypic data were used to conduct QST–FST comparisons. Life-history
 traits varied significantly among- and within-populations. Flowering time
 also showed substantial within- and among-population variation as well as
 significant genotype × environment interactions among the various
 conditions. Individuals bearing FRI truncations exhibited reduced
 recruitment in field conditions and differential flowering time behavior
 across experimental conditions, suggesting that FRI contributes to the
 observed significant genotype × environment interactions. Flowering time
 estimated in field conditions was the only trait showing significantly
 higher quantitative genetic differentiation than neutral genetic
 differentiation values. Overall, our results show that these A. thaliana
 populations are genetically more differentiated for flowering time than
 for neutral markers, suggesting that flowering time is likely to be under
 divergent selection.
description: Arabidopsis_data_8populations_7nov12
DOI: 10.15468/dl.7bqgct
title: Occurrence Download

description: A dataset containing 2281712 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Continent is Asia",
 "TaxonKey is Poaceae"
 ]
}

 The dataset includes 2281712 records from 824 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000496-260126135527185/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25574/30183
title: Chandra X-ray Observatory ObsId 30183

description: A TREASURY SURVEY PROBING THE BARYON & ENERGY CYCLE AND X-RAY BINARY EVOLUTION IN GALAXIES AT HIGH ANGULAR RESOLUTION
DOI: 10.15468/dl.e29xpg
title: Occurrence Download

description: A dataset containing 5066 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Acacia confusa"
 ]
}

 The dataset includes 5066 records from 129 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0005810-260126135527185/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.rpthpu
title: Occurrence Download

description: A dataset containing 210 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Prinsepia uniflora",
 "HasCoordinate is true",
 "BasisOfRecord is one of (Specimen)"
 ]
}

 The dataset includes 210 records from 11 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0005813-260126135527185/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.j9xm68
title: Occurrence Download

description: A dataset containing 25539 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Delonix regia"
 ]
}

 The dataset includes 25539 records from 545 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0005809-260126135527185/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.bqavg7
title: Occurrence Download

description: A dataset containing 217154 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Spain",
 "DatasetKey is one of (Anillamiento SEO_Bird ringing, EOD – eBird Observation Dataset, Tick detection on birds captured by ringers from the Catalan Ornithological Institute (ICO) between 2003 and 2020, Observation.org, Nature data from around the World, Aranzadi Ringing Scheme (bird ring-recovery data), Inventario Español de Especies Terrestres (MAGRAMA), Ministerio de Medio Ambiente, y Medio Rural y Marino. Dirección General de Medio Natural y Política Forestal. Inventario Nacional de Biodiversidad 2007, Aves Reproductoras, Data collected on citizen science web portal www.ornitho.cat, Banco de Datos de la Biodiversidad de la Comunitat Valenciana, NABU|naturgucker)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Riparia riparia"
 ]
}

 The dataset includes 217154 records from 10 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0005791-260126135527185/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25574/31286
title: Chandra X-ray Observatory ObsId 31286

description: COMPTON-THICK AGN: THE HUNT IS ON
DOI: 10.21227/4kfc-wa02
title: "Mouse corneal angiogenesis dataset and rat iris vessels dataset: for vessel segmentation"

description: "The experimental evaluation includes two specialized vessel segmentation datasets: the Mouse Corneal Angiogenesis Dataset and the Rat Iris Vessels Dataset. Each dataset consists of one fully annotated training image and ten annotated test images, with all images accompanied by precise binary masks delineating the vascular structures."
DOI: 10.15468/dl.xevz5b
title: Occurrence Download

description: A dataset containing 50 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((5.56450 45.68697,10.66016 45.68697,10.66016 47.72437,5.56450 47.72437,5.56450 45.68697))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Lepisma saccharinum"
 ]
}

 The dataset includes 50 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0005814-260126135527185/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.18412990
title: Dataset and reconstruction pipeline for Hadamard‑based single‑pixel imaging

description: This repository contains the full dataset, reconstruction notebook, and reference sample image used for the Hadamard‑based single‑pixel imaging experiments presented in this work. The dataset includes raw complementary pattern measurements acquired using a 64×64 Hadamard basis, along with a high‑resolution image of the positive USAF 1951 resolution test target used as the sample during acquisition.

The Jupyter notebook provides a complete, reproducible pipeline for computing Hadamard coefficients, performing image reconstruction, and visualizing both individual and averaged measurements. All processing steps are implemented using Python, NumPy, SciPy, and Matplotlib, and the workflow is designed to be fully transparent and easy to adapt for related computational imaging experiments.

Contents



Jupyter Notebook: Full reconstruction workflow, including coefficient extraction, Hadamard transform, and visualization tools.

Dataset: Raw intensity measurements for all complementary Hadamard patterns across multiple acquisitions.

High‑resolution sample image: Ground‑truth reference image of the USAF resolution target used during acquisition.






Purpose

This repository enables full reproducibility of the reconstruction results, facilitates benchmarking of computational imaging algorithms, and provides a clean example dataset for researchers working on single‑pixel imaging, compressive sensing, and Hadamard‑based optical systems.
DOI: 10.5281/zenodo.18412991
title: Dataset and reconstruction pipeline for Hadamard‑based single‑pixel imaging

description: This repository contains the full dataset, reconstruction notebook, and reference sample image used for the Hadamard‑based single‑pixel imaging experiments presented in this work. The dataset includes raw complementary pattern measurements acquired using a 64×64 Hadamard basis, along with a high‑resolution image of the positive USAF 1951 resolution test target used as the sample during acquisition.

The Jupyter notebook provides a complete, reproducible pipeline for computing Hadamard coefficients, performing image reconstruction, and visualizing both individual and averaged measurements. All processing steps are implemented using Python, NumPy, SciPy, and Matplotlib, and the workflow is designed to be fully transparent and easy to adapt for related computational imaging experiments.

Contents



Jupyter Notebook: Full reconstruction workflow, including coefficient extraction, Hadamard transform, and visualization tools.

Dataset: Raw intensity measurements for all complementary Hadamard patterns across multiple acquisitions.

High‑resolution sample image: Ground‑truth reference image of the USAF resolution target used during acquisition.






Purpose

This repository enables full reproducibility of the reconstruction results, facilitates benchmarking of computational imaging algorithms, and provides a clean example dataset for researchers working on single‑pixel imaging, compressive sensing, and Hadamard‑based optical systems.
DOI: 10.5281/zenodo.18414028
title: ScratchForces Dataset
DOI: 10.5281/zenodo.18414029
title: ScratchForces Dataset
DOI: 10.15468/dl.3sgmnt
title: Occurrence Download

description: A dataset containing 246 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((4.95092 45.47207,11.18438 45.47207,11.18438 47.96439,4.95092 47.96439,4.95092 45.47207))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Ctenolepisma lineata"
 ]
}

 The dataset includes 246 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0005815-260126135527185/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.kf2xuy
title: Occurrence Download

description: A dataset containing 9613 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Bambusa",
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present"
 ]
}

 The dataset includes 9613 records from 486 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0005817-260126135527185/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.tezb63
title: Occurrence Download

description: A dataset containing 86 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((5.54918 45.68167,10.84785 45.68167,10.84785 47.80024,5.54918 47.80024,5.54918 45.68167))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Ctenolepisma longicaudatum"
 ]
}

 The dataset includes 86 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0005818-260126135527185/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.4vzu29
title: Occurrence Download

description: A dataset containing 400115 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is one of (Human Observation, Specimen)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is one of (Setaria dielsii, Avena nuda, Aegilops speltoides, Festuca lachenalii, Eragrostis lateritica, Eragrostis hypnoides, Eragrostis perrieri, Aegilops sharonensis, Secale vavilovii, Aegilops triuncialis, Enneapogon desvauxii, Setaria sagittifolia, Urochloa xantholeuca, Agrostis pourretii, Avena fatua, Lathyrus aphaca, Festuca myuros, Chloris lobata, Briza humilis, Triticum monococcum, Setaria verticillata, Aira elegans, Iseilema eremaeum, Polypogon maritimus, Polypogon monspeliensis, Sacciolepis indica, Eragrostis porosa, Eragrostis boinensis, Eragrostis exasperata, Lathyrus lentiformis)"
 ]
}

 The dataset includes 400115 records from 2966 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0005644-260126135527185/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.18410979
title: Remote Driving Dataset in UPV's 5G Private network (n40)

description: This dataset contains network performance measurements collected during a 5G drive-test at the Universitat Politècnica de València (UPV) campus. The data was collected using a remote-driven 4-wheeled robot as part of the Work Package 4 of the IMAGINE-B5G project (Grant agreement No.:101096452). The primary objective of the campaign was to evaluate performance under different Network Slicing and 5G QoS Identifier (5QI) configurations.

The experiment involved simultaneous data collection using two measurement tools:



Network side measurements (IXchariot): Traffic injection to benchmark end-to-end performance (Throughput, latency...)

UE side measurements (Keysight NEMO): Physical layer parameters recorded directly from the User Equipment (UE) (ASUS Snapdragon and Samsung S25 Ultra). Metrics include: RSRP, RSRQ, SINR, CQI, Modulation Scheme, Rank indicator and GPS position.


The dataset is divided into 6 folders, 1 for each separate test. With the tests being described in the "TestDescriptions.xlsx" file. Specifically, these scenarios cover different combinations of QoS priorities (5QI) and radio resources.Each folder is comprised of the following files:



Test_X_E2E_Measurements folder: Containing the measurements performed with the IXchariot tool (for all the UEs)

Test_X_E2E_Report.pdf: Detailed report of the E2E measurements included in the Test_X_E2E_ Measurements folder

Test_X_Asus.csv: Containing the measurements performed with the Asus Snapdragon UE with the Keysight NEMO tool.

Test_X_S25.csv: Containing the measurements performed with the Samsung S25 UE with the Keysight NEMO tool.
DOI: 10.5281/zenodo.18410980
title: Remote Driving Dataset in UPV's 5G Private network (n40)

description: This dataset contains network performance measurements collected during a 5G drive-test at the Universitat Politècnica de València (UPV) campus. The data was collected using a remote-driven 4-wheeled robot as part of the Work Package 4 of the IMAGINE-B5G project (Grant agreement No.:101096452). The primary objective of the campaign was to evaluate performance under different Network Slicing and 5G QoS Identifier (5QI) configurations.

The experiment involved simultaneous data collection using two measurement tools:



Network side measurements (IXchariot): Traffic injection to benchmark end-to-end performance (Throughput, latency...)

UE side measurements (Keysight NEMO): Physical layer parameters recorded directly from the User Equipment (UE) (ASUS Snapdragon and Samsung S25 Ultra). Metrics include: RSRP, RSRQ, SINR, CQI, Modulation Scheme, Rank indicator and GPS position.


The dataset is divided into 6 folders, 1 for each separate test. With the tests being described in the "TestDescriptions.xlsx" file. Specifically, these scenarios cover different combinations of QoS priorities (5QI) and radio resources.Each folder is comprised of the following files:



Test_X_E2E_Measurements folder: Containing the measurements performed with the IXchariot tool (for all the UEs)

Test_X_E2E_Report.pdf: Detailed report of the E2E measurements included in the Test_X_E2E_ Measurements folder

Test_X_Asus.csv: Containing the measurements performed with the Asus Snapdragon UE with the Keysight NEMO tool.

Test_X_S25.csv: Containing the measurements performed with the Samsung S25 UE with the Keysight NEMO tool.
DOI: 10.15468/dl.9a7msw
title: Occurrence Download

description: A dataset containing 3666 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Prunus avium",
 "HasCoordinate is true",
 "BasisOfRecord is one of (Specimen)"
 ]
}

 The dataset includes 3666 records from 288 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0005819-260126135527185/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.k6nctg
title: Occurrence Download

description: A dataset containing 18 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Russian Federation",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is one of (Arion, Arion vulgaris, Arion vulgaris x Arion ater, Arion vulgaris x Arion rufus, Arion rufus vulgaris, Arion rufus vulgaris)",
 "Year 2016-2020"
 ]
}

 The dataset includes 18 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0005823-260126135527185/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.dasady
title: Occurrence Download

description: A dataset containing 24 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Korea, Republic of",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Aster koraiensis",
 "Year 1000-2006"
 ]
}

 The dataset includes 24 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0005820-260126135527185/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.48804/9qxwlo
title: Effect of COVID-19 restrictions on the sleep of adolescents with and without ADHD

description: This dataset contains the sleep data (objective actigraphy measured sleep, subjective sleep diary measured sleep, Chronic Sleep Reduction Questionnaire, revised Adolescent Sleep Hygiene Scale) of four groups (two with ADHD and two without ADHD (NT)) of in total 100 adolescents (50 ADHD and 50 NT). One ADHD and NT group were tested during many COVID-19 restrictions, the other during few.
DOI: 10.15468/dl.36bm5n
title: Occurrence Download

description: A dataset containing 371 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Continent is Europe",
 "Country is Italy",
 "GadmGid is ITA.20_1",
 "Geometry POLYGON((12.0788 45.40665,12.06579 45.33723,12.1428 44.99663,12.28382 44.79162,12.41507 44.74172,12.63201 44.96517,12.47039 45.10293,12.63635 45.45547,12.90753 45.59865,12.76652 45.67892,12.58537 45.67783,12.16775 45.52272,12.09941 45.46631,12.0788 45.40665))",
 "MediaType is Audio",
 "OccurrenceStatus is Present"
 ]
}

 The dataset includes 371 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0005822-260126135527185/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.fnwss4
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Cochinchinochloa",
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0005824-260126135527185/datasets/export for details.
DOI: 10.6084/m9.figshare.31186990
title: Navigating job quality in the gig economy: a bibliometric analysis (2015–2025)

description: This study maps how job quality is examined within the gig economy by analysing 144 peer-reviewed articles published between 2015 and April 2025. Using bibliometric techniques, it identifies publication trends, leading contributors and the main conceptual clusters shaping the field. The findings show rapid growth after 2018 and heightened attention during the post-pandemic period, driven by concerns over precarity, platform control and worker well-being. Two major strands dominate the literature: governance and control research on regulation, algorithmic management and decent work, and worker-centred studies focusing on autonomy, satisfaction and identity. Although job quality has become a core theme, definitions remain inconsistent, and evidence is concentrated in high-income economies. By consolidating dispersed insights and highlighting emerging areas such as high-skill remote freelancing and global platform contracting, this review provides a clearer foundation for future research and policy discussions on sustainable and equitable gig work conditions.
DOI: 10.6084/m9.figshare.31186990.v1
title: Navigating job quality in the gig economy: a bibliometric analysis (2015–2025)

description: This study maps how job quality is examined within the gig economy by analysing 144 peer-reviewed articles published between 2015 and April 2025. Using bibliometric techniques, it identifies publication trends, leading contributors and the main conceptual clusters shaping the field. The findings show rapid growth after 2018 and heightened attention during the post-pandemic period, driven by concerns over precarity, platform control and worker well-being. Two major strands dominate the literature: governance and control research on regulation, algorithmic management and decent work, and worker-centred studies focusing on autonomy, satisfaction and identity. Although job quality has become a core theme, definitions remain inconsistent, and evidence is concentrated in high-income economies. By consolidating dispersed insights and highlighting emerging areas such as high-skill remote freelancing and global platform contracting, this review provides a clearer foundation for future research and policy discussions on sustainable and equitable gig work conditions.
DOI: 10.15468/dl.7qq788
title: Occurrence Download

description: A dataset containing 17 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((-57.13017 -23.86333,-57.4097 -22.58339,-58.16001 -22.02433,-59.10158 -19.30261,-59.91074 -19.22905,-60.63163 -19.67041,-61.88215 -19.52329,-62.07162 -19.72201,-61.4151 -22.90723,-57.93657 -24.45846,-57.13017 -23.86333))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Chelonoidis carbonarius"
 ]
}

 The dataset includes 17 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0005825-260126135527185/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.