cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.18172978
title: Data supplement: Towards National-Scale Ecological Applications: Harmonised framework for LiDAR point cloud processing for vegetation metrics calculation

description: This data supplement provides the necessary data to apply the full LiDAR processing and reclassification workflow to a single LAZ file.

Different stages of the LiDAR processing workflow are showcased by the following LAZ files:



568539_2020_tava.laz is the original unclassified LAZ file downloaded from the Estonian Land and Spatial Development Board Geoportal. It corresponds to map sheet number 568539 in the 1:2000 topographic grid. The measurements originate from the 2020 spring campaign.

568539_2020_tava_fixed.laz is the intermediate output file after harmonisation, i.e. correcting the LAS file header and CRS.

568539_2020_tava_reclassified.laz is the final output containing points reclassified based on the rule set outlined in the corresponding research paper.


We provide examples of the ancillary input layers used in the reclassification stage, which are clipped to the extents of map sheet 568539.

The following ancillary input layers were used:



568539_ETAK_EESTI_GPKG_2021_01_02.gpkg is the Estonian Topographic Database GPKG containing vector layers needed for spatial overlays, i.e. E_601_elektriliin_j (high-voltage transmission lines), E_401_hoone_ka (building footprints), E_403_muu_rajatis_ka (additional built structures), E_202_seisuveekogu_a (inland standing water bodies), E_203_vooluveekogu_a (flowing water bodies) and E_201_meri_a (sea areas).

568539_dem_1m_2017-2020.tif is the 1 m elevation raster used to calculate HeightAboveGround.

568539_est_s2_ndvi_2020-04-01_2020-05-31.tif is the 10 m NDVI raster for the 2020 spring season derived from Sentinel-2.


The corresponding scripts are available at https://doi.org/10.5281/zenodo.17867740.
DOI: 10.15156/bio/sh0166761.10fu
title: SH0166761.10FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.17632/m3mg2jftxj.2
title: HE4 drives PD-L1 expression in myeloid cells via IFN-γR–JAK–STAT3 signaling to promote tumor immune evasion

description: Immune checkpoint inhibitors (ICIs) targeting PD-1/PD-L1 have achieved success in cancer therapy; however, most patients fail to respond, and many develop severe immune-related adverse events (irAEs). While interferon-γ (IFN-γ) is widely regarded as the canonical driver of PD-L1 expression, how PD-L1 is regulated in myeloid compartments of the tumor microenvironment (TME) remains incompletely understood. Here, we identified human epididymis protein 4 (HE4), a secreted glycoprotein that is overexpressed in multiple human cancers, as a previously unrecognized inducer of PD-L1 transcription in certain TMEs. Mechanistically, HE4 directly binds to interferon-γ receptors, activates JAK–STAT3 signaling, and upregulates PD-L1 expression. Neutralization of mouse or human HE4 with monoclonal antibodies markedly reduced PD-L1 expression on myeloid cells in the TME, restored CD8⁺ T-cell activity, and suppressed tumor growth in both syngeneic and humanized models. Importantly, HE4 blockade induced significantly fewer irAEs than PD-1 blockade did, suggesting its superior safety. Clinically, high HE4 expression predicts poor prognosis but is correlated with enhanced responsiveness to PD-1 inhibitors in lung adenocarcinoma patients, underscoring its translational significance as both a therapeutic target and a predictive biomarker. Together, these findings reveal that HE4 is a tumor-derived driver of immune evasion and establish HE4 blockade as a safer and clinically actionable immunotherapeutic strategy.
DOI: 10.15468/dl.ftwrbt
title: Occurrence Download

description: A dataset containing 82 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Spain",
 "GadmGid is ESP.5.5_1",
 "OccurrenceStatus is Present",
 "TaxonKey is Vicia articulata"
 ]
}

 The dataset includes 82 records from 8 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0008539-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ca5sxr
title: Occurrence Download

description: A dataset containing 167219 species occurrences available in GBIF matching the query:
{
 "Geometry" : [
 "POLYGON ((27.037710663584164 -26.613184865903435, 27.515987864382733 -26.613184865903435, 27.515987864382733 -26.208788969489373, 27.037710663584164 -26.208788969489373, 27.037710663584164 -26.613184865903435))"
 ]
}

 The dataset includes 167219 records from 58 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002551-260208012135463/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.18289268
title: Processed Dataset and Cached Features
DOI: 10.5281/zenodo.18391030
title: Scottish meat consumption survey (Feb–Jul 2023): attitudes, COM-B measures, and perceived effectiveness of meat-reduction policies (Best-Worst Scaling)

description: Anonymised individual-level responses from an online survey of adults (≥18 years) living in Scotland, collected February to July 2023. Participants were recruited via Qualtrics to approximate a nationally representative sample stratified by age, gender, education, and ethnicity.

The survey included three sections: (1) attitudes to meat reduction and current behaviour using COM-B framed items (Capability, Opportunity, Motivation) on Likert scales, (2) a Best-Worst Scaling task rating the perceived effectiveness of 25 potential meat-reduction policies and interventions, and (3) socio-demographic characteristics. In the associated publication, latent class analysis was used to identify four attitudinal subgroups (Resistant, Ambivalent, Open, Active meat reducers).

Files in this record include: a cleaned CSV dataset, a machine-readable codebook (TSV and JSON), and a README describing the variables and processing steps. The open-release dataset contains 1,590 respondent records and 150 variables (columns). A sequential participant_id was generated for the open-release file.

Ethical approval was granted by the Rowett Ethics Panel at the University of Aberdeen, and informed consent was obtained from participants.

Associated publication: McBey D, Martinez Sanchez G, Horgan G, Macdiarmid JI, McCormick BJJ. “Perceived effectiveness of 25 interventions and policies designed to reduce meat consumption”. Food Quality and Preference, 135, 105693. https://doi.org/10.1016/j.foodqual.2025.105693
DOI: 10.5281/zenodo.18547379
title: Scottish meat consumption survey (Feb–Jul 2023): attitudes, COM-B measures, and perceived effectiveness of meat-reduction policies (Best-Worst Scaling)

description: Anonymised individual-level responses from an online survey of adults (≥18 years) living in Scotland, collected February to July 2023. Participants were recruited via Qualtrics to approximate a nationally representative sample stratified by age, gender, education, and ethnicity.

The survey included three sections: (1) attitudes to meat reduction and current behaviour using COM-B framed items (Capability, Opportunity, Motivation) on Likert scales, (2) a Best-Worst Scaling task rating the perceived effectiveness of 25 potential meat-reduction policies and interventions, and (3) socio-demographic characteristics. In the associated publication, latent class analysis was used to identify four attitudinal subgroups (Resistant, Ambivalent, Open, Active meat reducers).

Files in this record include: a cleaned CSV dataset, a machine-readable codebook (TSV and JSON), and a README describing the variables and processing steps. The open-release dataset contains 1,590 respondent records and 150 variables (columns). A sequential participant_id was generated for the open-release file.

Ethical approval was granted by the Rowett Ethics Panel at the University of Aberdeen, and informed consent was obtained from participants.

Associated publication: McBey D, Martinez Sanchez G, Horgan G, Macdiarmid JI, McCormick BJJ. “Perceived effectiveness of 25 interventions and policies designed to reduce meat consumption”. Food Quality and Preference, 135, 105693. https://doi.org/10.1016/j.foodqual.2025.105693
DOI: 10.5281/zenodo.18547463
title: QSAR model documentation (QMRF)

description: Describe the nature of the models. They will also be available on the VEGA website (in the next few days together with new software release) here: https://www.vegahub.eu/portfolio-item/vega-qsar-models-qrmf/
DOI: 10.5281/zenodo.18547462
title: QSAR model documentation (QMRF)

description: Describe the nature of the models. They will also be available on the VEGA website (in the next few days together with new software release) here: https://www.vegahub.eu/portfolio-item/vega-qsar-models-qrmf/
DOI: 10.5281/zenodo.17312308
title: An in vivo validation dataset for dynamic 3D MRI

description: In vivo validation dataset for the abstract "Time-resolved 4D imaging and strain mapping validated with a publicly available in vivo dataset", as presented at the ISMRM Workshop on Data Sampling and Image Reconstruction in Sedona, January 2026.

For each volunteer, the following files are provided:



dynamic1.mrd, ..., dynamic5.mrd: Undersampled k-space data for the five dynamic scans:



dynamic1.mrd: Six consecutive repetitions of the pressure cycle at 35-second intervals

dynamic2.mrd: A single pressure cycle with a 20 seconds sustained pressure at the maximum deformation

dynamic3.mrd: A single pressure cycle with an isometric knee flexion

dynamic4.mrd: A single pressure cycle with rotated pressure cuff

dynamic5.mrd: A single pressure cycle with rotated pressure cuff and an isometric knee flexion



validation.mrd: Fully sampled k-space data for each of the nine pressure levels

anatomy.mrd: High-resolution fully sampled anatomical reference scan


The Matlab script example_recon.m shows how the k-space data can be loaded and reconstructed into an image.
DOI: 10.15468/dl.ars7yb
title: Occurrence Download

description: A dataset containing 28 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((7.77379 48.54199,7.77671 48.54021,7.77975 48.54192,7.77581 48.54403,7.77379 48.54199))",
 "PublishingCountry is France"
 ]
}

 The dataset includes 28 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002581-260208012135463/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.6nnym4
title: Occurrence Download

description: A dataset containing 1371 records in GBIF matching the query:

 SELECT gbifid, datasetkey, specieskey, kingdom, phylum, class, "order", family, genus, species, scientificname, decimallatitude, decimallongitude, eventdate, institutioncode, "year" AS obs_year, basisofrecord, coordinateuncertaintyinmeters, issue
 FROM occurrence
 WHERE
 decimallatitude IS NOT NULL
 AND decimallongitude IS NOT NULL
 AND NOT ARRAY_CONTAINS(issue, 'ZERO_COORDINATE')
 AND NOT ARRAY_CONTAINS(issue, 'COORDINATE_OUT_OF_RANGE')
 AND NOT ARRAY_CONTAINS(issue, 'COORDINATE_INVALID')
 AND NOT ARRAY_CONTAINS(issue, 'COUNTRY_COORDINATE_MISMATCH')
 AND "year" &gt;= 2015
 AND "year" &lt;= 2026
 AND coordinateuncertaintyinmeters IS NOT NULL
 AND coordinateuncertaintyinmeters &gt; 0
 AND coordinateuncertaintyinmeters &lt;= 200.0
 AND decimallatitude &gt;= 41.89415215079384
 AND decimallatitude &lt;= 46.479780028101516
 AND decimallongitude &gt;= 113.8874202948881
 AND decimallongitude &lt;= 125.88796183592417
 AND GBIF_Within('POLYGON ((125.887962 41.894152, 125.887962 46.479780, 113.887420 46.479780, 113.887420 41.894152, 125.887962 41.894152))', decimallatitude, decimallongitude) = TRUE
 

 The dataset's 1371 records were derived from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002571-260208012135463/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5517/cc3v4xz
title: CCDC 114511: Experimental Crystal Structure Determination

description: Related Article: B.Diab, J.Jolibois, B.Laude, S.Golhen, L.Ouahab, A.Chambaudet|1999|Helv.Chim.Acta|82|779|doi:10.1002/(SICI)1522-2675(19990505)82:5<779::AID-HLCA779>3.3.CO;2-G
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/cc3v4y0
title: CCDC 114512: Experimental Crystal Structure Determination

description: Related Article: B.Diab, J.Jolibois, B.Laude, S.Golhen, L.Ouahab, A.Chambaudet|1999|Helv.Chim.Acta|82|779|doi:10.1002/(SICI)1522-2675(19990505)82:5<779::AID-HLCA779>3.3.CO;2-G
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.6084/m9.figshare.31293709
title: Supplementary Material for: Silicone Oil Migration into the Graft Interface after Descemet Stripping Automated Endothelial Keratoplasty in a Patient with a Past Surgical History of Silicone Oil Tamponade: A Case Report

description: We report a 42-year-old man with pseudophakic bullous keratopathy who previously underwent traumatic cataract surgery, pars plana vitrectomy with silicone oil injection, subsequent oil removal, and implantation of an angle-supported anterior chamber intraocular lens. He later underwent anterior chamber lens explantation, Artisan iris-claw lens implantation, and Descemet stripping automated endothelial keratoplasty (DSAEK). By postoperative day 9, multiple silicone oil droplets were observed at the donor–recipient interface, with a further increase in size and number by day 14. An anterior chamber washout was performed; however, droplets persisted at the surgical interface. This case highlights the risk of silicone oil entrapment at the DSAEK donor–recipient interface in eyes with prior vitreoretinal surgery and silicone oil tamponade. Thorough removal of residual silicone oil before donor lenticule insertion is essential to minimize interface-related complications.
DOI: 10.6084/m9.figshare.31293709.v1
title: Supplementary Material for: Silicone Oil Migration into the Graft Interface after Descemet Stripping Automated Endothelial Keratoplasty in a Patient with a Past Surgical History of Silicone Oil Tamponade: A Case Report

description: We report a 42-year-old man with pseudophakic bullous keratopathy who previously underwent traumatic cataract surgery, pars plana vitrectomy with silicone oil injection, subsequent oil removal, and implantation of an angle-supported anterior chamber intraocular lens. He later underwent anterior chamber lens explantation, Artisan iris-claw lens implantation, and Descemet stripping automated endothelial keratoplasty (DSAEK). By postoperative day 9, multiple silicone oil droplets were observed at the donor–recipient interface, with a further increase in size and number by day 14. An anterior chamber washout was performed; however, droplets persisted at the surgical interface. This case highlights the risk of silicone oil entrapment at the DSAEK donor–recipient interface in eyes with prior vitreoretinal surgery and silicone oil tamponade. Thorough removal of residual silicone oil before donor lenticule insertion is essential to minimize interface-related complications.
DOI: 10.17632/cxmd68dc3j
title: Dataset for the research titled "Suitable water level ranges for lake in arid-regions under hydro-environmental constraints"

description: This site contains the metadata used for estimating the water levels of lakes in arid regions, as well as for the publication of the article titled "Suitable water level ranges for lake in arid-regions under hydro-environmental constraints".
DOI: 10.17632/cxmd68dc3j.1
title: Dataset for the research titled "Suitable water level ranges for lake in arid-regions under hydro-environmental constraints"

description: This site contains the metadata used for estimating the water levels of lakes in arid regions, as well as for the publication of the article titled "Suitable water level ranges for lake in arid-regions under hydro-environmental constraints".
DOI: 10.17632/d5kbwb2xn6
title: Patient-centred digital adherence technology for tuberculosis treatment outcomes: data from a pragmatic randomized controlled trial in Argentina

description: The dataset contains anonymized individual-level data from a pragmatic two-arm randomized controlled trial conducted in Argentina evaluating the effectiveness of a patient-centred digital adherence technology for tuberculosis (TB) treatment against usual practice for self-administered TB therapy under real-world conditions.
The study enrolled 555 patients newly diagnosed with drug-susceptible tuberculosis and compared an intervention integrating: an interactive smartphone application,direct communication with a treatment supporter, and INH adherence verification using a urine-based drug metabolite home test. 
Participants were randomized in a 1:1 ratio to either the intervention arm or the control arm and followed to assess treatment success and loss to follow-up. Eligibility criteria included: age ≥16 years, newly diagnosed with drug-susceptible TB, regular access to and ability to operate a smart phone independently or with assistance. The TB-TST interactive digital adherence tool improved tuberculosis treatment outcomes. Treatment success was achieved in 82% compared to 74% and loss to follow-up occurred in 17% versus 24.4% in the intervention arm compared to the control arm in the ITT analysis. Greater benefit was observed among females, participants under 35 years and those more engaged with the app.
The dataset includes demographic characteristics, clinical baseline variables, randomization arm, adherence-related measures, and treatment outcomes. All data were fully anonymized prior to sharing. No direct identifiers are included.
This dataset supports the findings reported in the manuscript currently under peer review at The BMJ (Manuscript ID: BMJ-2025-086808.R1) and is intended to enable transparency, reproducibility, and secondary analyses.
DOI: 10.17632/d5kbwb2xn6.1
title: Patient-centred digital adherence technology for tuberculosis treatment outcomes: data from a pragmatic randomized controlled trial in Argentina

description: The dataset contains anonymized individual-level data from a pragmatic two-arm randomized controlled trial conducted in Argentina evaluating the effectiveness of a patient-centred digital adherence technology for tuberculosis (TB) treatment against usual practice for self-administered TB therapy under real-world conditions.
The study enrolled 555 patients newly diagnosed with drug-susceptible tuberculosis and compared an intervention integrating: an interactive smartphone application,direct communication with a treatment supporter, and INH adherence verification using a urine-based drug metabolite home test. 
Participants were randomized in a 1:1 ratio to either the intervention arm or the control arm and followed to assess treatment success and loss to follow-up. Eligibility criteria included: age ≥16 years, newly diagnosed with drug-susceptible TB, regular access to and ability to operate a smart phone independently or with assistance. The TB-TST interactive digital adherence tool improved tuberculosis treatment outcomes. Treatment success was achieved in 82% compared to 74% and loss to follow-up occurred in 17% versus 24.4% in the intervention arm compared to the control arm in the ITT analysis. Greater benefit was observed among females, participants under 35 years and those more engaged with the app.
The dataset includes demographic characteristics, clinical baseline variables, randomization arm, adherence-related measures, and treatment outcomes. All data were fully anonymized prior to sharing. No direct identifiers are included.
This dataset supports the findings reported in the manuscript currently under peer review at The BMJ (Manuscript ID: BMJ-2025-086808.R1) and is intended to enable transparency, reproducibility, and secondary analyses.
DOI: 10.17632/xzpyd9238y.1
title: Cropland mask dataset for the Canadian Prairies derived from Google Satellite Embedding imagery

description: # Canadian Prairies Cropland Masks — 10 m (GeoTIFF)

# Overview
This repository/package accompanies a spatially explicit raster dataset of cropland mask for the Canadian Prairies (Alberta (AB), Saskatchewan (SK), and Manitoba (MB))

# Methods Summary (How the dataset was created)
1. Predictor generation: Multi-source predictors were derived from AlphaEarth embeddings.
2. Reference sampling: Stratified-random sample points were distributed across the Prairies to represent cropland and non-cropland conditions.
3. Model training: A Random Forest classifier was trained to separate cropland from non-cropland using AAFC crop mask as labels.
4. Wall-to-wall inference: The trained models were applied to generate annual binary cropland masks for 2017–2024 at 10 m.
5. Aggregation: Annual masks were summed to generate a cropland frequency layer.
6. Stable cropland definition: Pixels classified as cropland in more than two years were labeled as persistent cropland to produce a stable mask.

--

## Spatial and Technical Specifications
- Geographic extent: Canadian Prairies — Alberta, Saskatchewan, Manitoba
- Spatial resolution: 10 m
- Raster format: GeoTIFF 
- Coordinate reference system (CRS): EPSG:4326)
- NoData value: 0
- Pixel encoding: - Annual mask: 0 = non-cropland, 1 = cropland

---
Caution / best practices:
- Annual masks represent modeled predictions and may contain errors near edges of fields, heterogeneous land cover, or mixed pixels.
- If comparing with other products, ensure consistent CRS, resolution, and resampling methods.
DOI: 10.17632/jfsgrp5kzc
title: Presence-Gated VOC Sensing for Urban Search and Rescue Applications

description: This dataset contains development-phase logs used to train and evaluate J48, Random Forest, and a simple probability-level hybrid classifier for a portable volatile-signature detector intended for urban search-and-rescue triage. Data were collected in tethered mode while the ESP32 firmware executed repeating intake–hold–purge cycles. During each hold window the device computed a per-hold feature vector and mirrored it to a host PC along with synchronized raw/derived channels and metadata.