cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.17632/9y56fnhkxk
title: Pre-bunking Strategies: Building Digital Resilience Against Misinformation in Indonesia

description: This dataset contains qualitative data obtained from in-depth interviews with key stakeholders related to the implementation of pre-bunking strategies in Indonesia. The interviews capture stakeholders’ perspectives, experiences, and insights regarding the development, challenges, and effectiveness of pre-bunking efforts, particularly in addressing misinformation and disinformation within the Indonesian context.
DOI: 10.17632/9y56fnhkxk.1
title: Pre-bunking Strategies: Building Digital Resilience Against Misinformation in Indonesia

description: This dataset contains qualitative data obtained from in-depth interviews with key stakeholders related to the implementation of pre-bunking strategies in Indonesia. The interviews capture stakeholders’ perspectives, experiences, and insights regarding the development, challenges, and effectiveness of pre-bunking efforts, particularly in addressing misinformation and disinformation within the Indonesian context.
DOI: 10.17632/cc9t96c4bp
title: Research data on "Spatial Distributional Stochastic Frontier Analysis".

description: This deposit includes the R scripts and readme files for replicating the simulation study and the empirical application in the paper "Spatial Distributional Stochastic Frontier Analysis". The simulation code generates all data internally and reproduces the Monte Carlo results reported in the paper and appendix. The empirical application code implements the full estimation, table and figure construction, and robustness checks; however, the underlying empirical data are confidential and cannot be shared. Detailed instructions for running both the simulation and application code are provided in the accompanying readme files.
DOI: 10.17632/cc9t96c4bp.1
title: Research data on "Spatial Distributional Stochastic Frontier Analysis".

description: This deposit includes the R scripts and readme files for replicating the simulation study and the empirical application in the paper "Spatial Distributional Stochastic Frontier Analysis". The simulation code generates all data internally and reproduces the Monte Carlo results reported in the paper and appendix. The empirical application code implements the full estimation, table and figure construction, and robustness checks; however, the underlying empirical data are confidential and cannot be shared. Detailed instructions for running both the simulation and application code are provided in the accompanying readme files.
DOI: 10.48804/yohgp6
title: Replication Data for: In situ radiant auxiliary heating in fused deposition 3D printing

description: This dataset provides structured data on the effects of in-situ radiant auxiliary heating in fused deposition 3D printing. It accompanies the journal publication entitled "In situ radiant auxiliary heating in fused deposition 3D printing", which is currently under review. This dataset enables readers to reproduce key results presented in the paper, including: &lt;br&gt;

&lt;ul&gt;
&lt;li&gt;3D printing data, such as .3mf file of the printing job and corresponding Gcode &lt;br&gt;
&lt;li&gt;Raw data of IR camera monitoring of the part cooling (spatial resolution 31 μm/pixel, 32 Hz) &lt;br&gt;
&lt;li&gt;Input, output and analyses data of thermal simulations (local temporal profiles and temperature fields, etc.)&lt;br&gt;
&lt;li&gt;Mechanical test raw data and stress-strain curves&lt;br&gt;
&lt;li&gt;View factor calculation functions and examples&lt;br&gt;
&lt;/ul&gt;


&lt;br&gt;
Total data size: ~49 GB
description: Optris PIX Connrct, 3.23.3112.0
description: T4F3, 2.0
description: Matlab, R2021a
DOI: 10.15468/dl.psycyv
title: Occurrence Download

description: A dataset containing 1630 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((1.66603 44.74052,1.65363 44.73938,1.62894 44.7313,1.6236 44.7184,1.63054 44.70122,1.65465 44.68905,1.67717 44.68984,1.68923 44.69542,1.69526 44.71214,1.69719 44.73296,1.68707 44.74365,1.66773 44.74433,1.66603 44.74052))",
 "OccurrenceStatus is Present",
 "TaxonKey is Animalia"
 ]
}

 The dataset includes 1630 records from 57 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000087-260126135527185/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.7x8v9d
title: Occurrence Download

description: A dataset containing 3407 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Human Observation",
 "Continent is Asia",
 "Country is Bangladesh",
 "GadmGid is BGD.5.7.3_1",
 "IucnRedListCategory is LC"
 ]
}

 The dataset includes 3407 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0025776-250811113504898/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.7281/t1/czdpsx
title: Head CT Scans associated with 'Validated automatic brain extraction of head CT images'

description: The data consists of 35 different subject's non-contrast CT scan, with 2 subjects having 2 scans but every other subject having one scan (in tarballs). One subject additionally has 2 scans, but from the same time point, but with different convolution kernels. Each scan has at least one reader's manual segmentation of the image to delineate the mask of the brain areas (including cerebrospinal fluid (CSF)). The data are from the Minimally-Invasive Surgery plus rt-PA for Intracerebral hemorrhage Evacuation (MISTIE) Phases II and III clinical trials the Clot Lysis: Evaluating Accelerated Resolution of Intraventricular Hemorrhage (CLEAR) Phase III clinical trial.   Each tarball contains a series of NIfTI (Neuroimaging Informatics Technology Initiative) files. These files can be read using common tools such as ITK-SNAP (http://www.itksnap.org/pmwiki/pmwiki.php), Mango (http://ric.uthscsa.edu/mango/), or Papaya (http://ric.uthscsa.edu/mango/papaya.html). Each image has manual segmentation from 2 different readers which is a binary image delineating the brain and an automated estimate of the brain by the method proposed in the paper below.
DOI: 10.15468/dl.qnenve
title: Occurrence Download

description: A dataset containing 119559 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Rumex acetosella L.",
 "Country is France"
 ]
}

 The dataset includes 119559 records from 1667 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0010322-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.3jwz8j
title: Occurrence Download

description: A dataset containing 1894 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is one of (Observation, Machine Observation, Human Observation, Occurrence evidence)",
 "Continent is Asia",
 "Country is one of (India, Thailand, Malaysia, Indonesia, Nepal, Bhutan, Afghanistan, Singapore, Brunei Darussalam, Timor-Leste, Sri Lanka, Pakistan, Myanmar, Philippines, Lao People’s Democratic Republic, Cambodia, Bangladesh)",
 "OccurrenceStatus is Present",
 "TaxonKey is Perissodactyla"
 ]
}

 The dataset includes 1894 records from 11 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0005002-260126135527185/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.8wq8j3
title: Occurrence Download

description: A dataset containing 7643 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Panthera tigris"
 ]
}

 The dataset includes 7643 records from 138 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0005001-260126135527185/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.kmgdjn
title: Occurrence Download

description: A dataset containing 27770 records in GBIF matching the query:
SELECT
 '546' AS fish_cell,
 GBIF_MGRSCode(1000, decimalLatitude, decimalLongitude, 0) AS cell, -- NO randomization
 COUNT(DISTINCT speciesKey) AS species_richness
 FROM occurrence
 WHERE hasCoordinate = TRUE
 AND speciesKey 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 decimalLatitude &gt;= 56.135291543055025
 AND decimalLatitude &lt;= 61.2993700571118
 AND decimalLongitude &gt;= 28.782040753409778
 AND decimalLongitude &lt;= 39.552121702358654
 AND "year" &gt;= 2015
 AND "year" &lt;= 2026
 AND (coordinateUncertaintyInMeters &lt;= 100 OR coordinateUncertaintyInMeters IS NULL)
 GROUP BY fish_cell, cell

 The dataset's 27770 records were derived from 120 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0004990-260126135527185/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.nbznjz
title: Occurrence Download

description: A dataset containing 133 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Korea, Republic of",
 "DatasetKey is one of (iNaturalist Research-grade Observations, 2024_naturing_observation_all_13970, 2024_naturing_observation_all_9020)",
 "PublishingOrg is one of (28eb1a3f-1c15-4a95-931a-4af90ecb574d, 7de30ffe-19bb-489f-a1fb-5e291ad006d5)",
 "TaxonKey is Plecia longiforceps",
 "Year 2016-2025"
 ]
}

 The dataset includes 133 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0005003-260126135527185/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.j4pcdb
title: Occurrence Download

description: A dataset containing 3 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Dicyemennea ophioides",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 3 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0005004-260126135527185/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.hujvsp
title: Occurrence Download

description: A dataset containing 111 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Korea, Republic of",
 "DatasetKey is one of (iNaturalist Research-grade Observations, NATURING_CS_Observation_Dataset, NATURING_CS_Observation_2020, 2024_naturing_observation_all_9020, NATURING_CS_Observation_Dataset_3, niek_2022)",
 "TaxonKey is Ephemera orientalis",
 "Year 2016-2025"
 ]
}

 The dataset includes 111 records from 6 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0005006-260126135527185/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.vsbk9v
title: Occurrence Download

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

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0005007-260126135527185/datasets/export for details.
DOI: 10.15468/dl.dgjx5b
title: Occurrence Download

description: A dataset containing 5281 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is one of (Observation, Machine Observation, Human Observation, Occurrence evidence)",
 "Continent is Asia",
 "Country is one of (India, Thailand, Malaysia, Indonesia, Nepal, Bhutan, Afghanistan, Singapore, Brunei Darussalam, Timor-Leste, Sri Lanka, Pakistan, Myanmar, Philippines, Lao People’s Democratic Republic, Cambodia, Bangladesh)",
 "OccurrenceStatus is Present",
 "TaxonKey is Elephas maximus"
 ]
}

 The dataset includes 5281 records from 15 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0005009-260126135527185/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.jekxtu
title: Occurrence Download

description: A dataset containing 3280 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Balanidae, Serpulidae, Watersiporidae, Styelidae, Pennariidae, Mytilidae, Teredinidae, Ulvaceae, Caulerpaceae, Bougainvilliidae, Syllidae, Hydractiniidae, Varunidae, Bolinopsidae)",
 "Geometry POLYGON ((33.925781 30.297018, 30.849609 30.221102, 36.738281 17.978733, 42.539063 11.867351, 46.054688 9.362353000000001, 53.613281 12.297068, 64.6875 21.616579, 66.269531 25.403585, 65.302734 29.993002, 50.976563 32.398516, 33.925781 30.297018))"
 ]
}

 The dataset includes 3280 records from 86 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0005010-260126135527185/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.cwnvc9
title: Occurrence Download

description: A dataset containing 2 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Dicyemennea ryukyuense",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 2 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0005011-260126135527185/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.jvhah2
title: Occurrence Download

description: A dataset containing 11743 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Olyra",
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present"
 ]
}

 The dataset includes 11743 records from 383 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0005012-260126135527185/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.a6nypf
title: Occurrence Download

description: A dataset containing 2 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Dicyemennea trochocephalum",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 2 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0005013-260126135527185/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.31175839
title: Deep learning-based in silico labeling for analyzing morphological features of MSCs to predict immunomodulatory capacity

description: In this study, we presented a combined DL and ML strategy comprising a cell segmentation model and a biological characteristic prediction model.
DOI: 10.6084/m9.figshare.31175839.v3
title: Deep learning-based in silico labeling for analyzing morphological features of MSCs to predict immunomodulatory capacity

description: In this study, we presented a combined DL and ML strategy comprising a cell segmentation model and a biological characteristic prediction model.
DOI: 10.6084/m9.figshare.31175839.v2
title: Deep learning-based in silico labeling for analyzing morphological features of MSCs to predict immunomodulatory capacity

description: In this study, we presented a combined DL and ML strategy comprising a cell segmentation model and a biological characteristic prediction model.
DOI: 10.15468/dl.849ux6
title: Occurrence Download

description: A dataset containing 1027 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Euphyllia glabrescens"
 ]
}

 The dataset includes 1027 records from 60 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0005014-260126135527185/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ppfeks
title: Occurrence Download

description: A dataset containing 117 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Cisthene conjuncta"
 ]
}

 The dataset includes 117 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0005015-260126135527185/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.5kbpnc
title: Occurrence Download

description: A dataset containing 3 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Pseudicyema nakaoi",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 3 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0005016-260126135527185/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.31176658
title: Oligocene mysticetes

description: It contains 3D tomographic reconstructions of two mysticetes from the Oligocene.
DOI: 10.6084/m9.figshare.31176658.v1
title: Oligocene mysticetes

description: It contains 3D tomographic reconstructions of two mysticetes from the Oligocene.
DOI: 10.6084/m9.figshare.31176658.v2
title: Oligocene mysticetes

description: It contains 3D tomographic reconstructions of two mysticetes from the Oligocene.
DOI: 10.5281/zenodo.18409209
title: Fish-gres YOLOv8 Object Detection Annotations (Derived Release) v1.0

description: This record provides a detection-ready derivative release of the Fish-gres image dataset, containing manual bounding-box annotations in YOLOv8 format.

Source images:Fish-gres Dataset for Fish Species Classification (Mendeley Data), DOI: 10.17632/76cr3wfhff.1, licensed under CC BY 4.0.

What was added/changed:• Manual bounding-box annotation for single-fish object detection (one fish per image), created using Roboflow and exported in YOLOv8 label format.• Train/validation/test split files and a YOLO dataset configuration file (e.g., data.yaml).

Dataset size and split:Total 2,000 images:• Train: 1,400 (70%)• Validation: 400 (20%)• Test: 200 (10%)

Filename note:Because the dataset was exported via Roboflow, image filenames may differ from the original Fish-gres filenames. Labels match images by basename within each split folder (e.g., xxx.jpg ↔ xxx.txt).

Attribution:Required citation: Fish-gres (images) and this Zenodo record (YOLOv8 annotations/splits).Recommended citation: our paper (IOP EES, 10.1088/1755-1315/1359/1/012023) if you rely on the experimental setup or wish to reference the study that used these annotations.

This dataset release was uploaded after the article’s publication to support replication and reuse of the object-detection experiments reported in the paper.
DOI: 10.5281/zenodo.18409208
title: Fish-gres YOLOv8 Object Detection Annotations (Derived Release) v1.0

description: This record provides a detection-ready derivative release of the Fish-gres image dataset, containing manual bounding-box annotations in YOLOv8 format.

Source images:Fish-gres Dataset for Fish Species Classification (Mendeley Data), DOI: 10.17632/76cr3wfhff.1, licensed under CC BY 4.0.

What was added/changed:• Manual bounding-box annotation for single-fish object detection (one fish per image), created using Roboflow and exported in YOLOv8 label format.• Train/validation/test split files and a YOLO dataset configuration file (e.g., data.yaml).

Dataset size and split:Total 2,000 images:• Train: 1,400 (70%)• Validation: 400 (20%)• Test: 200 (10%)

Filename note:Because the dataset was exported via Roboflow, image filenames may differ from the original Fish-gres filenames. Labels match images by basename within each split folder (e.g., xxx.jpg ↔ xxx.txt).

Attribution:Required citation: Fish-gres (images) and this Zenodo record (YOLOv8 annotations/splits).Recommended citation: our paper (IOP EES, 10.1088/1755-1315/1359/1/012023) if you rely on the experimental setup or wish to reference the study that used these annotations.

This dataset release was uploaded after the article’s publication to support replication and reuse of the object-detection experiments reported in the paper.
DOI: 10.15468/dl.ga87xz
title: Occurrence Download

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

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0005019-260126135527185/datasets/export for details.
DOI: 10.15468/dl.5z7m6y
title: Occurrence Download

description: A dataset containing 1574 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Madagascar",
 "IucnRedListCategory is VU",
 "OccurrenceStatus is Present",
 "TaxonKey is Dalbergia monticola"
 ]
}

 The dataset includes 1574 records from 17 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0005018-260126135527185/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.18044162
title: A long-term high-resolution dataset of global grassland aboveground biomass (2000–2022, 0.005°)

description: Grasslands play a vital role in the global carbon cycle and support livestock production, yet long-term, high-resolution global datasets of grassland aboveground biomass (AGB) remain scarce. Existing grassland AGB products are often forest-oriented, spatially coarse, temporally discontinuous, or limited to regional scales. Here, we present a global grassland AGB dataset spanning 2000–2022 at 0.005° spatial resolution. The dataset was generated using an optimized random forest model trained on 11,265 globally distributed, spatially aggregated samples. Multi-source predictors included NDVI, climate variables, atmospheric CO₂, and topography. The model achieved R² = 0.60 with RMSE = 85.97 g m⁻² for cross-validation, and R² = 0.60 with RMSE = 93.69 g m⁻² for independent test samples. When fitted to all samples, the model showed an agreement of R² = 0.93 and RMSE = 51.85 g m⁻². Comparison with other datasets showed comparable value distributions and temporal trajectories, with closer agreement with field observations. This dataset provides a foundation for advancing grassland carbon cycle assessments, sustainable management, and climate-ecosystem studies.