cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15468/dl.x2ndpc
title: Occurrence Download

description: A dataset containing 64599 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Micropterus dolomieu",
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 {
 "not" : {
 "BasisOfRecord" : [
 "is Fossil"
 ]
 }
 },
 {
 "or" : [
 {
 "not" : {
 "EstablishmentMeans" : [
 "is MANAGED"
 ]
 }
 },
 {
 "not" : {
 "EstablishmentMeans" : [
 "is not null"
 ]
 }
 }
 ]
 },
 {
 "or" : [
 "OccurrenceStatus is Present",
 {
 "not" : {
 "OccurrenceStatus" : [
 "is not null"
 ]
 }
 }
 ]
 }
 ]
}

 The dataset includes 64599 records from 97 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0012584-260208012135463/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.18625819
title: Structural Presentism: An Ontological Framework Compatible with Timeless Formulations of Physics
DOI: 10.5281/zenodo.18625818
title: Structural Presentism: An Ontological Framework Compatible with Timeless Formulations of Physics
DOI: 10.15468/dl.4v8pcc
title: Occurrence Download

description: A dataset containing 5301 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Senna atomaria",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is Fossil"
 ]
 }
 }
 ]
}

 The dataset includes 5301 records from 149 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0012674-260208012135463/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.e45sn2
title: Occurrence Download

description: A dataset containing 24 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Monsanima morrenioides",
 "HasCoordinate is true",
 "BasisOfRecord is one of (Specimen)"
 ]
}

 The dataset includes 24 records from 11 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0012673-260208012135463/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17632/xc64ytvt2z
title: LINF_230024700

description: BRCT domain-containing protein; Leishmania infantum (strain JPCM5)
DOI: 10.17632/xc64ytvt2z.1
title: LINF_230024700

description: BRCT domain-containing protein; Leishmania infantum (strain JPCM5)
DOI: 10.15468/dl.5gah4r
title: Occurrence Download

description: A dataset containing 453 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Sonchus crassifolius"
 ]
}

 The dataset includes 453 records from 44 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0040006-250717081556266/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.qvscss
title: Occurrence Download

description: A dataset containing 12489 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "TaxonKey is Salvia sclarea"
 ]
}

 The dataset includes 12489 records from 283 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0040004-250717081556266/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17632/tycjxm55t4
title: LINF_230025100

description: CFAP53; Leishmania infantum (strain JPCM5)
DOI: 10.17632/tycjxm55t4.2
title: LINF_230025100

description: CFAP53; Leishmania infantum (strain JPCM5)
DOI: 10.5284/1133952
title: Digital Archive from a Magnetometry Survey between Long Newton Sewage Treatment Works, Stockton-on Tees and Middleton One Row Sewage Pumping Station, Darlington (Goosebeck WINEP Transfer), 2023-2024

description: This collection comprises geophysical data, rendered raster plots and a report from a magnetometry survey undertaken by 360 Archaeology and Heritage Ltd between September 2023 and February 2024. The survey was undertaken over a 8.2km pipeline easement, on land located between Long Newton Sewage Treatment Works in Stockton-on Tees and Middleton One Row Sewage Pumping Station in Darlington. The survey included four additional areas to be used as compounds as well as a revised 1.5km easement near Middleton One Row that was designed after the completion of the initial route. Significant magnetic responses near Middleton One Row suggested multiple phases of occupation, featuring strong and weaker responses forming enclosures, linear delineations, pits, and curvilinear features.
DOI: 10.17632/kcrnj6z4rm
title: A Novel Dataset for Multiclass Detection and Classification of Darknet Traffic (SafeSurf Darknet 2025)

description: 📦 Dataset Title
SafeSurf Darknet 2025: A Multi-layer Behavioral Dataset for Darknet Traffic Detection and Classification

📘 Dataset Description
SafeSurf Darknet 2025 is a richly labeled dataset that captures network traffic across various anonymizing technologies and VPNs. Unlike traditional datasets labeled by ports or protocols, this dataset organizes traffic by behavioral context, enabling advanced research in:

Darknet behavior classification

Encrypted traffic analysis

Intrusion and anomaly detection systems (IDS/ADS)

🧪 Labeling and Data Collection Methodology
All traffic was manually generated and labeled in a controlled environment. Sessions were classified based on the known context of user activity (e.g., watching YouTube over Tor = Video Streaming).

Key aspects:

Manual labeling only – no heuristic or automated labeling was used

Behavior isolation through dedicated setups and time-aligned collection

High-confidence ground-truth annotations

🔐 Privacy-Preserving Technologies Covered
Tor

Freenet

I2P

ZeroNet

VPN

🎯 Behavioral Classes Captured
Browsing

Email

Chatting

Voice over IP (VoIP)

File Transfer (FTP)

Audio Streaming

Video Streaming

Peer-to-Peer (P2P) Sharing

Normal (non-darknet traffic)

Note: Some behaviors (e.g., VOIP) are not captured across all technologies due to service limitations.

🧩 Dataset Structure
Layer 1 – Binary Labeling
Normal: 360,358 samples

Darknet: 91,404 samples

Layer 2 – Technology-Specific Classification
Freenet: 26,284 samples

ZeroNet: 25,499 samples

I2P: 22,958 samples

Tor: 12,546 samples

VPN: 4,117 samples

Layer 3 – Behavioral Labeling
Browsing: 33,586

FTP: 20,214

Video Streaming: 9,559

P2P Sharing: 9,392

Email: 7,873

Audio Streaming: 5,953

Chatting: 3,489

VOIP: 1,338

📄 Data Format and Features
Provided in CSV format, where each row represents a single network flow, labeled with its associated behavior. Feature columns include:

Timestamps

Flow duration

Packet and byte counts

Inter-arrival time metrics

TCP/UDP header statistics

Directional and flow-based indicators

This structure supports a wide range of machine learning and network security research.

💡 Use Cases
Ideal for research and development in:

Behavior-based IDS/ADS

Real-time encrypted traffic detection

Behavioral profiling across anonymizing technologies

Multi-class classification under behavioral and technological variance

📚 Citation and Licensing
Please cite the dataset in your publications and respect the licensing terms included in the dataset repository.

📁 Access the dataset here:
🔗 Mendeley Data – SafeSurf Darknet 2025

📄 Related Publications:
🔗 https://www.preprints.org/manuscript/202507.1926/v1
🔗 https://ieeexplore.ieee.org/abstract/document/11073091
DOI: 10.17632/kcrnj6z4rm.2
title: A Novel Dataset for Multiclass Detection and Classification of Darknet Traffic (SafeSurf Darknet 2025)

description: 📦 Dataset Title
SafeSurf Darknet 2025: A Multi-layer Behavioral Dataset for Darknet Traffic Detection and Classification

📘 Dataset Description
SafeSurf Darknet 2025 is a richly labeled dataset that captures network traffic across various anonymizing technologies and VPNs. Unlike traditional datasets labeled by ports or protocols, this dataset organizes traffic by behavioral context, enabling advanced research in:

Darknet behavior classification

Encrypted traffic analysis

Intrusion and anomaly detection systems (IDS/ADS)

🧪 Labeling and Data Collection Methodology
All traffic was manually generated and labeled in a controlled environment. Sessions were classified based on the known context of user activity (e.g., watching YouTube over Tor = Video Streaming).

Key aspects:

Manual labeling only – no heuristic or automated labeling was used

Behavior isolation through dedicated setups and time-aligned collection

High-confidence ground-truth annotations

🔐 Privacy-Preserving Technologies Covered
Tor

Freenet

I2P

ZeroNet

VPN

🎯 Behavioral Classes Captured
Browsing

Email

Chatting

Voice over IP (VoIP)

File Transfer (FTP)

Audio Streaming

Video Streaming

Peer-to-Peer (P2P) Sharing

Normal (non-darknet traffic)

Note: Some behaviors (e.g., VOIP) are not captured across all technologies due to service limitations.

🧩 Dataset Structure
Layer 1 – Binary Labeling
Normal: 360,358 samples

Darknet: 91,404 samples

Layer 2 – Technology-Specific Classification
Freenet: 26,284 samples

ZeroNet: 25,499 samples

I2P: 22,958 samples

Tor: 12,546 samples

VPN: 4,117 samples

Layer 3 – Behavioral Labeling
Browsing: 33,586

FTP: 20,214

Video Streaming: 9,559

P2P Sharing: 9,392

Email: 7,873

Audio Streaming: 5,953

Chatting: 3,489

VOIP: 1,338

📄 Data Format and Features
Provided in CSV format, where each row represents a single network flow, labeled with its associated behavior. Feature columns include:

Timestamps

Flow duration

Packet and byte counts

Inter-arrival time metrics

TCP/UDP header statistics

Directional and flow-based indicators

This structure supports a wide range of machine learning and network security research.

💡 Use Cases
Ideal for research and development in:

Behavior-based IDS/ADS

Real-time encrypted traffic detection

Behavioral profiling across anonymizing technologies

Multi-class classification under behavioral and technological variance

📚 Citation and Licensing
Please cite the dataset in your publications and respect the licensing terms included in the dataset repository.

📁 Access the dataset here:
🔗 Mendeley Data – SafeSurf Darknet 2025

📄 Related Publications:
🔗 https://www.preprints.org/manuscript/202507.1926/v1
🔗 https://ieeexplore.ieee.org/abstract/document/11073091
DOI: 10.18434/mds2-3635
title: Python Script for calculating absorption cross sections as a function of wavelength and altitude
DOI: 10.17632/vynxnppr7j
title: Crop recommendation

description: The dataset is collected by integrating multiple data sources such as soil properties (type of soil, soil pH), climate factors (temperature, relative humidity, season), nutrient levels (N (nitrogen), P (phosphorus), K (potassium)), crop characteristics (crop duration, water required, type of crop), and agricultural factors (sown, harvested, water source).
DOI: 10.15468/dl.dc926m
title: Occurrence Download

description: A dataset containing 531 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Helianthus tuberosus",
 "Country is Japan",
 "HasCoordinate is true"
 ]
}

 The dataset includes 531 records from 39 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0040010-250717081556266/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17632/vynxnppr7j.1
title: Crop recommendation

description: The dataset is collected by integrating multiple data sources such as soil properties (type of soil, soil pH), climate factors (temperature, relative humidity, season), nutrient levels (N (nitrogen), P (phosphorus), K (potassium)), crop characteristics (crop duration, water required, type of crop), and agricultural factors (sown, harvested, water source).
DOI: 10.15468/dl.cbeh4f
title: Occurrence Download

description: A dataset containing 4 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 oresbia",
 "Continent is one of (Africa)",
 "Year is greater than or equal to 1900"
 ]
}

 The dataset includes 4 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0040008-250717081556266/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.16413161
title: Bird count database, organized by zone on a monthly basis

description: Bird census database of the Piuray lagoon, Cusco, Peru
DOI: 10.5281/zenodo.16413162
title: Bird count database, organized by zone on a monthly basis

description: Bird census database of the Piuray lagoon, Cusco, Peru
DOI: 10.15468/dl.s5rxbk
title: Occurrence Download

description: A dataset containing 1246 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Helianthus tuberosus",
 "Country is Italy",
 "HasCoordinate is true"
 ]
}

 The dataset includes 1246 records from 12 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0040009-250717081556266/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17632/fn4xyvvyhh
title: Helical Twisting Power of Chiral Molecules in Nematic Liquid Crystals Solutions

description: The helical structure of the chiral nematic phases induced by chiral dopants in a nematic liquid crystal solvent provides macroscopic information about the molecular chirality of the dopant molecule. There are various theoretical methods used to relate molecular chirality to the so-called helical twisting power of the dopant in nematic liquid crystals. However, machine learning approaches can be a useful technique for predicting the helical twisting power of a chiral dopant in the nematic phases. This dataset presents a preliminary study of a set of chiral dopants in the chiral nematic phases.
DOI: 10.17632/fn4xyvvyhh.1
title: Helical Twisting Power of Chiral Molecules in Nematic Liquid Crystals Solutions

description: The helical structure of the chiral nematic phases induced by chiral dopants in a nematic liquid crystal solvent provides macroscopic information about the molecular chirality of the dopant molecule. There are various theoretical methods used to relate molecular chirality to the so-called helical twisting power of the dopant in nematic liquid crystals. However, machine learning approaches can be a useful technique for predicting the helical twisting power of a chiral dopant in the nematic phases. This dataset presents a preliminary study of a set of chiral dopants in the chiral nematic phases.
DOI: 10.18434/mds2-3750
title: Database Infrastructure for Mass Spectrometry - Pyrrolizidine Alkaloids in Dietary Supplements
DOI: 10.17632/2x24j5p5bc
title: Questionnare Data: Robot-Assisted Education for Children with Type 1 Diabetes

description: This dataset contains anonymized survey responses from parents of children with Type 1 Diabetes Mellitus (T1DM) who participated in a robot-assisted education program. The questionnaire measured parental perceptions across domains including perceived usefulness, trust, satisfaction, engagement, and behavioral intention, using Likert-scale items and open-ended responses. The data were collected in a cross-sectional study conducted at the University of Tabuk Medical Center in 2023. This dataset supports the findings reported in the manuscript titled "Parental Perceptions Toward Robot-Assisted Diabetes Education for Saudi Children With Type 1 Diabetes Mellitus."
DOI: 10.17632/2x24j5p5bc.1
title: Questionnare Data: Robot-Assisted Education for Children with Type 1 Diabetes

description: This dataset contains anonymized survey responses from parents of children with Type 1 Diabetes Mellitus (T1DM) who participated in a robot-assisted education program. The questionnaire measured parental perceptions across domains including perceived usefulness, trust, satisfaction, engagement, and behavioral intention, using Likert-scale items and open-ended responses. The data were collected in a cross-sectional study conducted at the University of Tabuk Medical Center in 2023. This dataset supports the findings reported in the manuscript titled "Parental Perceptions Toward Robot-Assisted Diabetes Education for Saudi Children With Type 1 Diabetes Mellitus."
DOI: 10.15468/dl.k2uet5
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/0040011-250717081556266/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17632/rbz4mb56k7
title: Species identity dominates richness in driving soil microbial resource limitation via key mechanisms in subtropical mixed Pinus massoniana-broadleaved plantations

description: Species identity dominates richness in driving soil microbial resource limitation via key mechanisms in subtropical mixed Pinus massoniana-broadleaved plantations
DOI: 10.17632/rbz4mb56k7.1
title: Species identity dominates richness in driving soil microbial resource limitation via key mechanisms in subtropical mixed Pinus massoniana-broadleaved plantations

description: Species identity dominates richness in driving soil microbial resource limitation via key mechanisms in subtropical mixed Pinus massoniana-broadleaved plantations
DOI: 10.15468/dl.mzg5aq
title: Occurrence Download

description: A dataset containing 22 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Helianthus tuberosus",
 "Country is Latvia",
 "HasCoordinate is true"
 ]
}

 The dataset includes 22 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0040015-250717081556266/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.nurg4d
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Phytophthora cinnamomi",
 "Country is Russian Federation",
 "HasCoordinate is true"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0040013-250717081556266/datasets/export for details.
DOI: 10.18434/mds2-3894
title: Reference Material (RM) 8231 Frozen Human Plasma Suite for Metabolomics Data
DOI: 10.17632/5g9rf2fjsd
title: Monkey Species Dataset

description: Overview
This dataset comprises photographs representing nine distinct monkey species. The images were sourced individually and subsequently combined, with all materials retrieved from the image.cv website. The dataset is curated specifically for availability and reference on Mendeley Data.

Composition
Number of Species: 9

Type of Data: Images

Source: images.cv website


Species Included
The dataset encompasses the following nine monkey species (example listing; fill in with your actual species names as needed):
n0 : Baboon
n1 : Capuchin
n2 : Chimpanzee
n3 : Colobus
n4 : Marmoset
n5 : Orangutan
n6 : Patas Monkey
n7 : Proboscis Monkey
n8 : Siamang

images.cv | Labeled image datasets for each, available at: https://images.cv/
DOI: 10.17632/5g9rf2fjsd.2
title: Monkey Species Dataset

description: Overview
This dataset comprises photographs representing nine distinct monkey species. The images were sourced individually and subsequently combined, with all materials retrieved from the image.cv website. The dataset is curated specifically for availability and reference on Mendeley Data.

Composition
Number of Species: 9

Type of Data: Images

Source: images.cv website


Species Included
The dataset encompasses the following nine monkey species (example listing; fill in with your actual species names as needed):
n0 : Baboon
n1 : Capuchin
n2 : Chimpanzee
n3 : Colobus
n4 : Marmoset
n5 : Orangutan
n6 : Patas Monkey
n7 : Proboscis Monkey
n8 : Siamang

images.cv | Labeled image datasets for each, available at: https://images.cv/
DOI: 10.15468/dl.9bdyqj
title: Occurrence Download

description: A dataset containing 13181 species occurrences available in GBIF matching the query:
{
 "and" : [
 "GadmGid is FRA.4_1",
 "OccurrenceStatus is Present",
 "TaxonKey is Amphibia",
 "Year 2019-2025"
 ]
}

 The dataset includes 13181 records from 164 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0040018-250717081556266/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17632/w8kh2xkspx
title: PlantCity: A Comprehensive Image Based on Multi Crop Leaves disease in Pakistan.

description: In this work, we present a dataset of 12 crop species Apple, Apricot, Bean, Cherry, Maize, Fig, Grapes, Loquat, Pear, Tomato, Walnut and Persimmons with 52 classes 41 diseases and 11 healthy class. That Dataset include 10667 images and after Augmentation the size of 52219 images, and to avoid overfitting deep learning models, augmentation approaches have been employed to improve the dataset's size and quality. All the dataset have collected in Pakistan from two different districts Chitral and charsadda in real environment. The acquired datasets can be utilized to create several deep learning models for the multiclass crop leaves classification.
DOI: 10.17632/w8kh2xkspx.3
title: PlantCity: A Comprehensive Image Based on Multi Crop Leaves disease in Pakistan.

description: In this work, we present a dataset of 12 crop species Apple, Apricot, Bean, Cherry, Maize, Fig, Grapes, Loquat, Pear, Tomato, Walnut and Persimmons with 52 classes 41 diseases and 11 healthy class. That Dataset include 10667 images and after Augmentation the size of 52219 images, and to avoid overfitting deep learning models, augmentation approaches have been employed to improve the dataset's size and quality. All the dataset have collected in Pakistan from two different districts Chitral and charsadda in real environment. The acquired datasets can be utilized to create several deep learning models for the multiclass crop leaves classification.
DOI: 10.15468/dl.vyfd6g
title: Occurrence Download

description: A dataset containing 10 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Phytophthora cinnamomi",
 "Country is United States of America",
 "HasCoordinate is true"
 ]
}

 The dataset includes 10 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0040017-250717081556266/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.7yfb96
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Phytophthora cinnamomi",
 "Country is Viet Nam",
 "HasCoordinate is true"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0040019-250717081556266/datasets/export for details.