cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15468/dl.j5reqh
title: Occurrence Download

description: A dataset containing 17 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Cerastium arvense L.",
 "HasCoordinate is true",
 "Country is Japan",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 17 records from 6 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0196426-220831081235567/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.mw6rga
title: Occurrence Download

description: A dataset containing 86 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Macroglossum saga Butler, 1878",
 "HasCoordinate is true",
 "Country is Japan",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 86 records from 13 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0189242-220831081235567/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.6g5826
title: Occurrence Download

description: A dataset containing 11 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Mogannia minuta Matsumura, 1907",
 "HasCoordinate is true",
 "Country is Japan",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 11 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0196428-220831081235567/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.dfsgwf
title: Occurrence Download

description: A dataset containing 11818 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Sonchus maritimus"
 ]
}

 The dataset includes 11818 records from 292 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0040020-250717081556266/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17632/nxzskz7vrk
title: Double vulverability of active-NRF2 lung squamous cell carcinoma to NRF2 and TRIM24

description: All in the ms entitled as the title
DOI: 10.17632/nxzskz7vrk.2
title: Double vulverability of active-NRF2 lung squamous cell carcinoma to NRF2 and TRIM24

description: All in the ms entitled as the title
DOI: 10.15468/dl.q2h3dz
title: Occurrence Download

description: A dataset containing 334 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Material sample)"
 ]
 }
 },
 "TaxonKey is Ficus ottoniifolia",
 "Continent is one of (Africa)",
 "Year is greater than or equal to 1900"
 ]
}

 The dataset includes 334 records from 30 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0040024-250717081556266/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.8e6z7b
title: Occurrence Download

description: A dataset containing 4 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Helianthus tuberosus",
 "Country is Liechtenstein",
 "HasCoordinate is true"
 ]
}

 The dataset includes 4 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0040023-250717081556266/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17632/xr764tndgt
title: Research Date

description: All research experiment data
DOI: 10.17632/xr764tndgt.1
title: Research Date

description: All research experiment data
DOI: 10.15468/dl.v4n7je
title: Occurrence Download

description: A dataset containing 197 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Carduus keniensis"
 ]
}

 The dataset includes 197 records from 18 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0040022-250717081556266/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.16413020
title: Retention of Water Ice in Lunar Permanent Shadowed Regions

description: This repository contains the sample code from the paper and datasets for various parameter sensitivity analysis cases.





code.py: Simulates a micro cold trap with a 10-meter radius and depth, featuring a constant temperature boundary of 150 K, an external water vapor flux (Jin = 1.3×10⁻¹⁵ kg·m⁻²·s⁻¹), and 5% initial saturation.




data: Organized into 4 directories by cold trap boundary temperature.





Data for different cold trap radius are located in Tboundary=150K.




Datasets for water vapor influx, geothermal flux, and grid independence verification are stored in Tboundary=150K/R=10m.
DOI: 10.5281/zenodo.16413019
title: Retention of Water Ice in Lunar Permanent Shadowed Regions

description: This repository contains the sample code from the paper and datasets for various parameter sensitivity analysis cases.





code.py: Simulates a micro cold trap with a 10-meter radius and depth, featuring a constant temperature boundary of 150 K, an external water vapor flux (Jin = 1.3×10⁻¹⁵ kg·m⁻²·s⁻¹), and 5% initial saturation.




data: Organized into 4 directories by cold trap boundary temperature.





Data for different cold trap radius are located in Tboundary=150K.




Datasets for water vapor influx, geothermal flux, and grid independence verification are stored in Tboundary=150K/R=10m.
DOI: 10.15468/dl.yxt9ra
title: Occurrence Download

description: A dataset containing 21 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Pinus roxburghii",
 "Country is South Africa",
 "HasCoordinate is true"
 ]
}

 The dataset includes 21 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0040025-250717081556266/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17632/tfr3b9g3sk
title: Using a recently developed camera trapping method to improve monitoring efforts for African small carnivore species

description: This dataset includes daily detection histories (presence = 1, absence = 0) for a) all small carnivores combined, b) genet, c) mongoose species for Mostela and camera trap data. Also included is baiting effort where bait was either present or absent. Detaield descriptions of the sampling design (Mostela construction and survey deployments), data processing and analytical steps are presented in Davis et al. (2025). Using a recently developed camera trapping method to improve monitoring efforts for African small carnivore species. Ecological Solutions and Evidence.
DOI: 10.17632/tfr3b9g3sk.1
title: Using a recently developed camera trapping method to improve monitoring efforts for African small carnivore species

description: This dataset includes daily detection histories (presence = 1, absence = 0) for a) all small carnivores combined, b) genet, c) mongoose species for Mostela and camera trap data. Also included is baiting effort where bait was either present or absent. Detaield descriptions of the sampling design (Mostela construction and survey deployments), data processing and analytical steps are presented in Davis et al. (2025). Using a recently developed camera trapping method to improve monitoring efforts for African small carnivore species. Ecological Solutions and Evidence.
DOI: 10.15468/dl.u9ym52
title: Occurrence Download

description: A dataset containing 8 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Campylomormyrus curvirostris)",
 "BasisOfRecord is one of (Specimen, Literature Occurrence, Human Observation, Observation)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Year is greater than or equal to 1991",
 "Year is less than or equal to 2025"
 ]
}

 The dataset includes 8 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0040027-250717081556266/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17632/cdpmyrgztk.1
title: Disentangling the combined impacts of flooding intensity and land use types on soil nitrous oxide emissions in the riparian zone of Three-Gorges Reservoir(Original data))
DOI: 10.17632/hkghfjnzms
title: Cortical Visual Impairment in India

description: These are excel sheets associated with data accrual and analysis of children with cortical visual impairment (CVI), divided into 03 sub-groups and presenting to a tertiary care pediatric referral centre in New Delhi, India. The study incorporated cross-sectional usage of the CVI assessment range and tool in this population, to determine objective measures of the same.
DOI: 10.17632/hkghfjnzms.1
title: Cortical Visual Impairment in India

description: These are excel sheets associated with data accrual and analysis of children with cortical visual impairment (CVI), divided into 03 sub-groups and presenting to a tertiary care pediatric referral centre in New Delhi, India. The study incorporated cross-sectional usage of the CVI assessment range and tool in this population, to determine objective measures of the same.
DOI: 10.15468/dl.8qv6p7
title: Occurrence Download

description: A dataset containing 73 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Helianthus tuberosus",
 "Country is Lithuania",
 "HasCoordinate is true"
 ]
}

 The dataset includes 73 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0040028-250717081556266/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.9erg34
title: Occurrence Download

description: A dataset containing 517 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Barbodes binotatus)",
 "BasisOfRecord is one of (Specimen, Literature Occurrence, Human Observation, Observation)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Year is greater than or equal to 1991",
 "Year is less than or equal to 2025"
 ]
}

 The dataset includes 517 records from 14 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0040029-250717081556266/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ecn9uw
title: Occurrence Download

description: A dataset containing 7 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Symphyotrichum squamatum",
 "Country is Albania",
 "HasCoordinate is true"
 ]
}

 The dataset includes 7 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0040030-250717081556266/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17632/9jsty6dggn
title: Dataset for the Bibliometric Analysis on Asset Management of Offshore Infrastructure

description: This dataset on the scientometrics on asset management of offshore infrastructures for 2000-2025 is presented. It shows supplementary Data that includes keywords, word clouds and retrieved data from Dimensions, SCOPUS and Web of Science databases. This dataset was used for the paper by applying Bibliometric science, which is based on scientometric analysis. VOS viewer was used for establishing research patterns, visualising maps and identifying transcendental issues on asset management of offshore infrastructures. The data shows developments on the oil and gas industry, and application of asset management with themes studied from the keywords. The dataset included on asset management of offshore infrastructures were subjected to a bibliometric study which looked at various parameters such as publication authorship, co-authorships, citation analysis as well publication's geographical location by institution to access the research trend. See the full papers related to the study in: 

Amaechi, C. V., Reda , A., Beddu, S. B., Mohamed, D. B., Syamsir, A., Ahmed Ja’e, I., & Oyetunji, A. K. (2024). Research on Publication Trends for Asset Management of Offshore Facilities Between 1992 to 2022 Using Scientometric Analysis. Sustainable Marine Structures, 6(1), 71–95. https://doi.org/10.36956/sms.v6i1.1016

Amaechi, C.V.; et al. (2025). Bibliometric Review and Meta-Analysis for Research Patterns on Asset management of Offshore Infrastructure. Ocean Engineering 2025, under review.
DOI: 10.15468/dl.hbkzhe
title: Occurrence Download

description: A dataset containing 134004 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is Herbier du Québec (QUE) - Collection de plantes vasculaires"
 ]
}

 The dataset includes 134004 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0040014-250717081556266/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17632/9jsty6dggn.1
title: Dataset for the Bibliometric Analysis on Asset Management of Offshore Infrastructure

description: This dataset on the scientometrics on asset management of offshore infrastructures for 2000-2025 is presented. It shows supplementary Data that includes keywords, word clouds and retrieved data from Dimensions, SCOPUS and Web of Science databases. This dataset was used for the paper by applying Bibliometric science, which is based on scientometric analysis. VOS viewer was used for establishing research patterns, visualising maps and identifying transcendental issues on asset management of offshore infrastructures. The data shows developments on the oil and gas industry, and application of asset management with themes studied from the keywords. The dataset included on asset management of offshore infrastructures were subjected to a bibliometric study which looked at various parameters such as publication authorship, co-authorships, citation analysis as well publication's geographical location by institution to access the research trend. See the full papers related to the study in: 

Amaechi, C. V., Reda , A., Beddu, S. B., Mohamed, D. B., Syamsir, A., Ahmed Ja’e, I., & Oyetunji, A. K. (2024). Research on Publication Trends for Asset Management of Offshore Facilities Between 1992 to 2022 Using Scientometric Analysis. Sustainable Marine Structures, 6(1), 71–95. https://doi.org/10.36956/sms.v6i1.1016

Amaechi, C.V.; et al. (2025). Bibliometric Review and Meta-Analysis for Research Patterns on Asset management of Offshore Infrastructure. Ocean Engineering 2025, under review.
DOI: 10.17632/fm37dpgnfj
title: Braiding machine for reinforcing silicone tubes with pineapple leaf fibers

description: This dataset consists of the design data for braiding machine for reinforcing silicone tubes with pineapple leaf fibers. The diagram of the machine principle is built in AutoCad while the 3D model was designed in Solidworks and some parts were collected from open-source library such as MISUMI and GrabCAD.
DOI: 10.15468/dl.9tnuwd
title: Occurrence Download

description: A dataset containing 25 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Cribroheros diquis)",
 "BasisOfRecord is one of (Specimen, Literature Occurrence, Human Observation, Observation)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Year is greater than or equal to 1991",
 "Year is less than or equal to 2025"
 ]
}

 The dataset includes 25 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0040031-250717081556266/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17632/fm37dpgnfj.1
title: Braiding machine for reinforcing silicone tubes with pineapple leaf fibers

description: This dataset consists of the design data for braiding machine for reinforcing silicone tubes with pineapple leaf fibers. The diagram of the machine principle is built in AutoCad while the 3D model was designed in Solidworks and some parts were collected from open-source library such as MISUMI and GrabCAD.
DOI: 10.15468/dl.7xejw5
title: Occurrence Download

description: A dataset containing 1286378 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Human Observation",
 "CoordinateUncertaintyInMeters 0.0-120.0",
 "HasCoordinate is True",
 "HasGeospatialIssue is False",
 "OccurrenceStatus is Present",
 "TaxonKey is Plantae",
 "GadmGid is USA.5_1",
 "Year 2015-2022"
 ]
}

 The dataset includes 1286378 records from 7 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0040012-250717081556266/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17632/5pkkjc5m7j
title: CID-20: Comprehensive Industrial Defects Dataset for Few-Shot Segmentation

description: CID-20 (Comprehensive Industrial Defects-20) is a benchmark dataset for few-shot industrial defect segmentation, containing 20,344 images across 20 product categories with pixel-level annotations. This dataset combines and extends samples from Industrial-5i (Shi et al., 2023) and Real-IAD (Wang et al., 2024) datasets to provide diverse real-world defect patterns for evaluating automated quality control systems.

**Dataset Composition:**
- 20,344 total images (15,710 normal, 4,634 defective)
- 20 product categories across metals, plastics, fabrics, and ceramics
- Pixel-level segmentation masks for all defective samples
- 4-fold cross-validation splits for rigorous evaluation
- Multiple defect types: scratches, dents, contamination, misalignment, color variations

**Key Features:**
- Balanced representation of subtle and obvious defects
- Varying defect sizes (0.1% to 10%+ of image area)
- Realistic imaging conditions with varying lighting and backgrounds
- Designed for few-shot learning scenarios with minimal annotation requirements

**Attribution:**
This dataset builds upon:
- Industrial-5i dataset (Shi et al., 2023) - CC BY-NC-SA 4.0
- Real-IAD dataset (Wang et al., 2024) - CC BY-NC-SA 4.0

**License:** CC BY-NC-SA 4.0 (Non-commercial use only)

**Original Datasets:**
- Industrial-5i: [https://www.scidb.cn/en/anonymous/YWlBMzJ5]
- Real-IAD: [https://realiad4ad.github.io/Real-IAD/]
DOI: 10.17632/5pkkjc5m7j.1
title: CID-20: Comprehensive Industrial Defects Dataset for Few-Shot Segmentation

description: CID-20 (Comprehensive Industrial Defects-20) is a benchmark dataset for few-shot industrial defect segmentation, containing 20,344 images across 20 product categories with pixel-level annotations. This dataset combines and extends samples from Industrial-5i (Shi et al., 2023) and Real-IAD (Wang et al., 2024) datasets to provide diverse real-world defect patterns for evaluating automated quality control systems.

**Dataset Composition:**
- 20,344 total images (15,710 normal, 4,634 defective)
- 20 product categories across metals, plastics, fabrics, and ceramics
- Pixel-level segmentation masks for all defective samples
- 4-fold cross-validation splits for rigorous evaluation
- Multiple defect types: scratches, dents, contamination, misalignment, color variations

**Key Features:**
- Balanced representation of subtle and obvious defects
- Varying defect sizes (0.1% to 10%+ of image area)
- Realistic imaging conditions with varying lighting and backgrounds
- Designed for few-shot learning scenarios with minimal annotation requirements

**Attribution:**
This dataset builds upon:
- Industrial-5i dataset (Shi et al., 2023) - CC BY-NC-SA 4.0
- Real-IAD dataset (Wang et al., 2024) - CC BY-NC-SA 4.0

**License:** CC BY-NC-SA 4.0 (Non-commercial use only)

**Original Datasets:**
- Industrial-5i: [https://www.scidb.cn/en/anonymous/YWlBMzJ5]
- Real-IAD: [https://realiad4ad.github.io/Real-IAD/]
DOI: 10.17632/j64btzdsdy
title: A dataset of labelled device Wi-Fi probe requests for MAC address de-randomization - 2021

description: A Wi-Fi client device can perform a passive scan to detect wireless networks within its radio range, looking for Beacon Frames, i.e., packets issued by the Access Points (APs) to signal their presence. Alternatively, the client can speed up this process by actively searching for a network connection; to this, it transmits Probe Requests messages periodically, which are management frames of the IEEE standard 802.11. The process by which these messages are captured is called sniffing. Sniffing can be performed via a Wi-Fi interface set in monitor mode and tuned to the same channel (or an adjacent channel) where the transmission occurred. Management messages are not encrypted, so they can be used to implement device counting algorithms based on MAC addresses analysis. However, major operating system producers, in order to avoid tracking the device owners, developed functionalities for MAC address randomisation. Devices that change their physical address periodically and randomly, challenge counting algorithms that must then perform an additional address de-randomization, i.e., cluster the probe requests according to the source device by analysing appropriate message features. To the best of our knowledge, our dataset is the only one available with labelled (indication of the emitting source) Wi-Fi probe requests. To obtain the labels, the data has been collected either in an isolated environment (the anechoic chamber of our department) or in a "noisy" environment (a chamber without particular shielding, but with no other sources of probe requests within a radius of two meters). The first type of data is published after removing only packets originating from the Raspberry Pi embedded interface MAC address; the second type of data has been additionally filtered to simulate the anechoic chamber environment. Each capture file has a duration of 20 minutes and considers three non-overlapping channels (channels 1, 6, and 11) simultaneously. The dataset contains Probe Requests from 22 different devices, each observed separately in 6 different modes, including settings based on display status, Wi-Fi connection, and power saving. We collected 315 non-empty files in total. Captures that were empty after filtering were removed. The device used for the capture is a Raspberry Pi with three Wi-Fi dongle interfaces installed, each used to collect data from a channel. The main characteristic of the dataset is its subdivision by device, which enables a more accurate behavior analysis of individual devices in different modes. Moreover, it is possible to use the labelled data to train Machine Learning algorithms or to verify the correct functioning of algorithms that have as their objective the counting of devices through probe request analysis in the presence of random MAC addresses.

Note: In version 2, all device directories have been moved inside the folder "Individual devices" and renamed. Moreover, we added the link to a new database published in 2024.