cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.15670829
title: Cloud Garden

description: Cloud Garden is a computational design for a garden generated from procedural noise and modeled as a point cloud. All of the plants in the garden are either laser scanned or neural rendered specimens collected in the wild. 

Viewer: Sketchfab
DOI: 10.5281/zenodo.15670830
title: Cloud Garden

description: Cloud Garden is a computational design for a garden generated from procedural noise and modeled as a point cloud. All of the plants in the garden are either laser scanned or neural rendered specimens collected in the wild. 

Viewer: Sketchfab
DOI: 10.6084/m9.figshare.29323502
title: test figshare

description: test
DOI: 10.6084/m9.figshare.29323502.v1
title: test figshare

description: test
DOI: 10.15468/dl.7dbca3
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Cyperus elephantinus (C.B.Clarke) Kük.",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "BasisOfRecord is one of (Specimen, Living Specimen, Observation, Human Observation, Machine Observation, Material sample, Literature Occurrence, Material citation, Occurrence evidence)",
 "Geometry POLYGON ((30.5701 -24.0715,25.5395 -24.0715,25.5395 -28.5786,30.5701 -28.5786,30.5701 -24.0715))"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0048325-250525065834625/datasets/export for details.
DOI: 10.5281/zenodo.15671174
title: IQTISODIY MIGRATSIYAGA PSIXODINAMIK YONDASHUV. "AYOLLAR MIGRATSIYASI MISOLIDA"
DOI: 10.5281/zenodo.15671173
title: IQTISODIY MIGRATSIYAGA PSIXODINAMIK YONDASHUV. "AYOLLAR MIGRATSIYASI MISOLIDA"
DOI: 10.7266/n79k486k
title: Greenhouse emulsified oil salt marsh biodegradation study near Fourchon Beach and Leeville, LA, June 2010 through June 2011. Nutrient and Sulfate Data.
DOI: 10.15468/dl.pup9ac
title: Occurrence Download

description: A dataset containing 44439716 species occurrences available in GBIF matching the query:
{
 "and" : [
 "DatasetKey is iNaturalist Research-grade Observations",
 "TaxonKey is Tracheophyta"
 ]
}

 The dataset includes 44439716 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0048318-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.p8gevn
title: Occurrence Download

description: A dataset containing 2 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Cyperus elephantinus (C.B.Clarke) Kük.",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "BasisOfRecord is one of (Specimen, Living Specimen, Observation, Human Observation, Machine Observation, Material sample, Literature Occurrence, Material citation, Occurrence evidence)",
 "Geometry POLYGON ((27.1332 -20.158,25.5395 -23.2724,25.5395 -24.0715,30.5701 -24.0715,30.5701 -20.3186,29.6496 -19.6123,28.947 -19.4003,28.1821 -19.4609,27.6072 -19.7214,27.1332 -20.158))"
 ]
}

 The dataset includes 2 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0048326-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.7266/n73n21df
title: Screening of glycerol ether lipid biomarkers in northern Gulf of Mexico sediment using APPI-P FTICR-MS
DOI: 10.6084/m9.figshare.29323529
title: OVJ_Supplementary Table S5.xlsx

description: The results of the molecular insight into <i>L. reuteri</i> PSC102 corroborates its use as a probiotic in humans and other animals.<br>
DOI: 10.6084/m9.figshare.29323529.v1
title: OVJ_Supplementary Table S5.xlsx

description: The results of the molecular insight into <i>L. reuteri</i> PSC102 corroborates its use as a probiotic in humans and other animals.<br>
DOI: 10.6084/m9.figshare.28606754
title: <b>NCSTP: </b><b>A Benchmark Dataset for Non-Cooperative Space Target Perception</b>

description: The automatic, accurate perception of targets in space is a crucial prerequisite for many aerospace missions, such as on-orbit maintenance and target monitoring. Therefore, research on perception technologies within images from spaceborne cameras, is of great significance. The recent, rapid development of deep learning has revealed its potential for application to space target perception. However, implementing deep learning models typically requires large-scale labeled datasets. In this study, we build a multitask benchmark space target dataset, NCSTP, to address the limitations of current datasets. First, we collect and modify various space target models for satellites, space debris, and space rocks. By importing them into a realistic space environment simulated by Blender, 200,000 images are generated with different target sizes, poses, lighting conditions, and backgrounds. Then, the data are annotated to ensure the dataset supports simultaneous space target detection, recognition and component segmentation. NCSTP has 10 fine-grained classes of satellites, 6 classes of space debris, and 4 classes of space rocks. All the data can be used for training space target detection and recognition models. We further annotate the body, solar panels, antennas, and observation payloads of each satellite for component segmentation. Finally, we test a series of state-of-the-art object detection and semantic segmentation models on the dataset to establish a benchmark.<br>2025.6.16: A smaller version NCSTP-10000 is available now
DOI: 10.6084/m9.figshare.28606754.v4
title: <b>NCSTP: </b><b>A Benchmark Dataset for Non-Cooperative Space Target Perception</b>

description: The automatic, accurate perception of targets in space is a crucial prerequisite for many aerospace missions, such as on-orbit maintenance and target monitoring. Therefore, research on perception technologies within images from spaceborne cameras, is of great significance. The recent, rapid development of deep learning has revealed its potential for application to space target perception. However, implementing deep learning models typically requires large-scale labeled datasets. In this study, we build a multitask benchmark space target dataset, NCSTP, to address the limitations of current datasets. First, we collect and modify various space target models for satellites, space debris, and space rocks. By importing them into a realistic space environment simulated by Blender, 200,000 images are generated with different target sizes, poses, lighting conditions, and backgrounds. Then, the data are annotated to ensure the dataset supports simultaneous space target detection, recognition and component segmentation. NCSTP has 10 fine-grained classes of satellites, 6 classes of space debris, and 4 classes of space rocks. All the data can be used for training space target detection and recognition models. We further annotate the body, solar panels, antennas, and observation payloads of each satellite for component segmentation. Finally, we test a series of state-of-the-art object detection and semantic segmentation models on the dataset to establish a benchmark.<br>2025.6.16: A smaller version NCSTP-10000 is available now
DOI: 10.6084/m9.figshare.28606754.v3
title: <b>NCSTP: </b><b>A Benchmark Dataset for Non-Cooperative Space Target Perception</b>

description: The automatic, accurate perception of targets in space is a crucial prerequisite for many aerospace missions, such as on-orbit maintenance and target monitoring. Therefore, research on perception technologies within images from spaceborne cameras, is of great significance. The recent, rapid development of deep learning has revealed its potential for application to space target perception. However, implementing deep learning models typically requires large-scale labeled datasets. In this study, we build a multitask benchmark space target dataset, NCSTP, to address the limitations of current datasets. First, we collect and modify various space target models for satellites, space debris, and space rocks. By importing them into a realistic space environment simulated by Blender, 200,000 images are generated with different target sizes, poses, lighting conditions, and backgrounds. Then, the data are annotated to ensure the dataset supports simultaneous space target detection, recognition and component segmentation. NCSTP has 10 fine-grained classes of satellites, 6 classes of space debris, and 4 classes of space rocks. All the data can be used for training space target detection and recognition models. We further annotate the body, solar panels, antennas, and observation payloads of each satellite for component segmentation. Finally, we test a series of state-of-the-art object detection and semantic segmentation models on the dataset to establish a benchmark.
DOI: 10.15468/dl.xfy9a9
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Cyperus elephantinus (C.B.Clarke) Kük.",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "BasisOfRecord is one of (Specimen, Living Specimen, Observation, Human Observation, Machine Observation, Material sample, Literature Occurrence, Material citation, Occurrence evidence)",
 "Geometry POLYGON ((25.0214 -34.0501,25.5395 -34.1098,25.5395 -32.9007,20.509 -32.9007,20.509 -34.5676,20.524 -34.555,20.8859 -34.5419,20.9606 -34.4398,21.2995 -34.5131,21.5296 -34.4338,21.8696 -34.4439,22.0323 -34.2835,22.221 -34.2428,22.2566 -34.1304,22.5993 -34.0741,22.9652 -34.1674,23.4069 -34.1858,23.4955 -34.0792,23.6056 -34.0563,24.8471 -34.2877,24.9447 -34.2397,25.0214 -34.0501))"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0048327-250525065834625/datasets/export for details.
DOI: 10.15468/dl.qkw3d2
title: Occurrence Download

description: A dataset containing 596 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Continent is Asia",
 "Country is China",
 "DatasetKey is iNaturalist Research-grade Observations",
 "Month is January",
 "TaxonKey is Plantae",
 "Year 2022-2022"
 ]
}

 The dataset includes 596 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0048328-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.26180/29275601
title: Scattering resonances and pairing in a Rabi-coupled Fermi gas

description: The txt files in this folder contain the data associated with figures 3 (b,c), figure 4, and figure S1 of the manuscript"Scattering resonances and pairing in a Rabi-coupled Fermi gas" by O. Bleu et al. [arXiv:2503.10976]<br>Each txt file contains the data for one curve of a given panel, withfirst column: x axissecond column: y axis<br>For example, the file named "datafig4a1" contains the data of the first curve shown in Figure 4(a).
DOI: 10.26180/29275601.v1
title: Scattering resonances and pairing in a Rabi-coupled Fermi gas

description: The txt files in this folder contain the data associated with figures 3 (b,c), figure 4, and figure S1 of the manuscript"Scattering resonances and pairing in a Rabi-coupled Fermi gas" by O. Bleu et al. [arXiv:2503.10976]<br>Each txt file contains the data for one curve of a given panel, withfirst column: x axissecond column: y axis<br>For example, the file named "datafig4a1" contains the data of the first curve shown in Figure 4(a).
DOI: 10.15468/dl.jdbdck
title: Occurrence Download

description: A dataset containing 2373 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Erigeron canadensis L.",
 "Year 2025-2025"
 ]
}

 The dataset includes 2373 records from 18 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0048330-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.7266/n7hq3wwv
title: Dataset for: Adsorption of Pluronic block copolymers on silica nanoparticles
DOI: 10.15468/dl.h4mvt8
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Cyperus elephantinus (C.B.Clarke) Kük.",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "BasisOfRecord is one of (Specimen, Living Specimen, Observation, Human Observation, Machine Observation, Material sample, Literature Occurrence, Material citation, Occurrence evidence)",
 "Geometry POLYGON ((32.064 -28.9416,32.4847 -28.5786,30.5701 -28.5786,30.5701 -30.7329,30.6252 -30.6659,31.4179 -29.4257,31.8178 -29.0299,32.064 -28.9416))"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0048332-250525065834625/datasets/export for details.
DOI: 10.15468/dl.fz7fq3
title: Occurrence Download

description: A dataset containing 16791 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Macaca fascicularis (Raffles, 1821)"
 ]
}

 The dataset includes 16791 records from 95 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0048329-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.14004870
title: High sensitivity of simulated fog properties to parameterized aerosol activation in case studies from ParisFog
DOI: 10.5281/zenodo.15671189
title: High sensitivity of simulated fog properties to parameterized aerosol activation in case studies from ParisFog
DOI: 10.15468/dl.wp444c
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Cyperus elephantinus (C.B.Clarke) Kük.",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "BasisOfRecord is one of (Specimen, Living Specimen, Observation, Human Observation, Machine Observation, Material sample, Literature Occurrence, Material citation, Occurrence evidence)",
 "Geometry POLYGON ((35.5808 -24.13,35.5909 -24.0715,30.5701 -24.0715,30.5701 -28.5786,32.4847 -28.5786,32.55 -28.5222,33.0346 -26.8668,32.9741 -26.7838,33.0415 -26.059,32.9304 -26.0011,32.7994 -26.1281,32.6834 -26.0015,32.813 -25.8728,32.8513 -25.7166,33.3048 -25.3731,35.1489 -24.6699,35.5808 -24.13))"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0048333-250525065834625/datasets/export for details.
DOI: 10.15468/dl.6qt3jk
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Cyperus elephantinus (C.B.Clarke) Kük.",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "BasisOfRecord is one of (Specimen, Living Specimen, Observation, Human Observation, Machine Observation, Material sample, Literature Occurrence, Material citation, Occurrence evidence)",
 "Geometry POLYGON ((31.8862 -21.3285,30.5701 -20.3186,30.5701 -24.0715,35.5909 -24.0715,35.6007 -24.0157,35.6007 -23.8125,35.4969 -23.7035,35.6007 -23.165,35.6007 -22.9702,35.227 -22.2482,34.6862 -21.6944,34.013 -21.3095,33.5 -21.1593,32.9675 -21.1092,32.4352 -21.1612,31.8862 -21.3285))"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0048334-250525065834625/datasets/export for details.
DOI: 10.7266/n7n58jb5
title: Radiocarbon measurements on surface sediment organic matter following the Deepwater Horizon Oil Spill, 2010-2012
DOI: 10.15468/dl.jzhyhk
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Cyperus elephantinus (C.B.Clarke) Kük.",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "BasisOfRecord is one of (Specimen, Living Specimen, Observation, Human Observation, Machine Observation, Material sample, Literature Occurrence, Material citation, Occurrence evidence)",
 "Geometry POLYGON ((27.1586 -33.5889,28.2048 -32.9007,25.5395 -32.9007,25.5395 -34.1098,25.6468 -34.1222,25.7787 -34.0734,25.7098 -33.9109,25.8639 -33.797,26.4806 -33.8473,27.1586 -33.5889))"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0048336-250525065834625/datasets/export for details.
DOI: 10.15468/dl.26genp
title: Occurrence Download

description: A dataset containing 77368 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Mexico",
 "GadmGid is MEX.11_1",
 "TaxonKey is Tracheophyta"
 ]
}

 The dataset includes 77368 records from 190 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0048331-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.3q8hsn
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Cyperus elephantinus (C.B.Clarke) Kük.",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "BasisOfRecord is one of (Specimen, Living Specimen, Observation, Human Observation, Machine Observation, Material sample, Literature Occurrence, Material citation, Occurrence evidence)",
 "Geometry POLYGON ((18.2339 -32.5266,18.1411 -32.657,18.1007 -32.7021,18.0224 -32.6366,17.8923 -32.6419,17.754 -32.8255,17.7723 -32.9007,20.509 -32.9007,20.509 -28.5786,16.2782 -28.5786,16.4358 -28.7202,16.726 -29.1235,17.1957 -30.3752,17.6655 -31.1743,18.1322 -31.7679,18.2495 -32.2638,18.2339 -32.5266))"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0048337-250525065834625/datasets/export for details.
DOI: 10.15468/dl.trkrnr
title: Occurrence Download

description: A dataset containing 31746 species occurrences available in GBIF matching the query:
{
 "and" : [
 {
 "or" : [
 "PublishingCountry is Colombia",
 {
 "and" : [
 "Country is Colombia",
 {
 "not" : {
 "Issue" : [
 "is Country coordinate mismatch"
 ]
 }
 }
 ]
 }
 ]
 },
 {
 "and" : [
 "TaxonKey is one of (Mammalia)",
 "GadmGid is one of (COL)",
 "StateProvince is one of (antioquia)",
 "Year 2010-2025"
 ]
 }
 ]
}

 The dataset includes 31746 records from 83 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0048338-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.7266/n76t0jm7
title: Developing a Library for Mass Spectrometry Identification of Gulf Shrimp.
DOI: 10.15468/dl.5vqxj4
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Cyperus elephantinus (C.B.Clarke) Kük.",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "BasisOfRecord is one of (Specimen, Living Specimen, Observation, Human Observation, Machine Observation, Material sample, Literature Occurrence, Material citation, Occurrence evidence)",
 "Geometry POLYGON ((15.6372 -28.0032,16.2782 -28.5786,20.509 -28.5786,20.509 -24.0715,15.4933 -24.0715,15.4945 -24.1257,16.0509 -25.6631,15.6372 -28.0032))"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0048339-250525065834625/datasets/export for details.
DOI: 10.5281/zenodo.15671197
title: The Impact of Geographical Factors on Stack Overflow Contributions

description: Software engineering is a complex interplay of technical and human factors. While traditionally focussed on functional requirements, research increasingly recognises the profound impact of human aspects on SE dynamics. This study comprises a series of interconnected investigations exploring this multifaceted relationship. Beginning with a tertiary study, it progresses through a global correlational analysis before narrowing to a US-focussed examination investigating semantic elements, community dynamics, and code quality dimensions. The research concludes with a qualitative study that validates the preceding quantitative findings by surveying actual Stack Overflow users. Findings illuminate how diversity shape collective intelligence, offering insights for inclusive ecosystems for theory and practice.

This replication package is provided for those interested in further examining our research methodology.
DOI: 10.5281/zenodo.15671196
title: The Impact of Geographical Factors on Stack Overflow Contributions

description: Software engineering is a complex interplay of technical and human factors. While traditionally focussed on functional requirements, research increasingly recognises the profound impact of human aspects on SE dynamics. This study comprises a series of interconnected investigations exploring this multifaceted relationship. Beginning with a tertiary study, it progresses through a global correlational analysis before narrowing to a US-focussed examination investigating semantic elements, community dynamics, and code quality dimensions. The research concludes with a qualitative study that validates the preceding quantitative findings by surveying actual Stack Overflow users. Findings illuminate how diversity shape collective intelligence, offering insights for inclusive ecosystems for theory and practice.

This replication package is provided for those interested in further examining our research methodology.
DOI: 10.5281/zenodo.15563845
title: Denial Of Service Attack on Internet of Medical Things Network Dataset

description: This dataset provides raw network traffic captures in .pcap (packet capture) format for analyzing and detecting Denial of Service (DoS) attacks in Internet of Medical Things (IoMT) environments. It simulates both normal and malicious network activity involving commonly used medical IoT devices and DoS attack scenarios.

Attack Types Included:





SYN Flood




ICMP Flood




Xmas Flood



Normal Traffic:Normal traffic includes encrypted sensor data from the following IoMT devices:





AD8232 – Electrocardiogram (ECG) sensor




MAX30102 – Heart rate and SpO₂ (oxygen saturation) sensor




DHT11 and DHT22 – Temperature and humidity sensors



To emulate realistic and privacy-preserving communication in medical networks, all sensor data transmissions are encrypted using 64-bit AES (Advanced Encryption Standard). This dataset is intended for use in research and development of machine learning models, deep packet inspection tools, and advanced intrusion detection systems, especially in encrypted and resource-constrained IoMT environments.
DOI: 10.5281/zenodo.15563847
title: Denial Of Service Attack on Internet of Medical Things Network Dataset

description: This dataset provides raw network traffic captures in .pcap (packet capture) format for analyzing and detecting Denial of Service (DoS) attacks in Internet of Medical Things (IoMT) environments. It simulates both normal and malicious network activity involving commonly used medical IoT devices and DoS attack scenarios.

Attack Types Included:





SYN Flood




ICMP Flood




Xmas Flood



Normal Traffic:Normal traffic includes encrypted sensor data from the following IoMT devices:





AD8232 – Electrocardiogram (ECG) sensor




MAX30102 – Heart rate and SpO₂ (oxygen saturation) sensor




DHT11 and DHT22 – Temperature and humidity sensors



To emulate realistic and privacy-preserving communication in medical networks, all sensor data transmissions are encrypted using 64-bit AES (Advanced Encryption Standard). This dataset is intended for use in research and development of machine learning models, deep packet inspection tools, and advanced intrusion detection systems, especially in encrypted and resource-constrained IoMT environments.