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

description: A dataset listing the 6 species recorded in GBIF matching the query:
{
 "and" : [
 "DatasetKey is VESS Vanuatu seagrass specimens",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset's 6 records were derived from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0017461-190813142620410/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.s7j25n
title: Occurrence Download

description: A dataset containing 112315 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Carlina vulgaris L."
 ]
}

 The dataset includes 112315 records from 437 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0120828-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.juunc3
title: Occurrence Download

description: A dataset containing 2199 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Pimpinella peregrina L.",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 2199 records from 101 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0004490-240130105604617/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.h3mcht
title: Occurrence Download

description: A dataset containing 2810175 species occurrences available in GBIF matching the query:
{
 "and" : [
 {
 "or" : [
 "BasisOfRecord is Specimen",
 "BasisOfRecord is Material sample",
 "BasisOfRecord is Unknown evidence"
 ]
 },
 "Year 1600-1930",
 "TaxonKey is Aves"
 ]
}

 The dataset includes 2810175 records from 226 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0017474-190813142620410/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.s6vc5t
title: Occurrence Download

description: A dataset containing 29 species occurrences available in GBIF matching the query:
{
 "and" : [
 {
 "and" : [
 "NetworkKey is 99d66b6c-9087-452f-a9d4-f15f2c2d0e7e",
 "TaxonKey is Chordata"
 ]
 },
 "TaxonKey is one of (Vampyriscus brocki [GBIF Backbone Taxonomy])"
 ]
}

 The dataset includes 29 records from 6 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0039117-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.15832985
title: Classification of modular curves

description: https://github.com/eekarabiyik/twist
DOI: 10.6084/m9.figshare.29517836
title: orca

description: circRNA detection
DOI: 10.6084/m9.figshare.29517836.v1
title: orca

description: circRNA detection
DOI: 10.5281/zenodo.15832984
title: Classification of modular curves

description: https://github.com/eekarabiyik/twist
DOI: 10.5281/zenodo.15838799
title: Classification of modular curves

description: https://github.com/eekarabiyik/twist
DOI: 10.5281/zenodo.17248703
title: COVID-ARE-Konsultationsinzidenz

description: Im Datensatz "COVID-ARE-Konsultationsinzidenz" des Robert Koch-Instituts werden wöchentliche Inzidenzen von ambulanten Konsultationen mit akuter respiratorischer Erkrankung (ARE) und zusätzlicher COVID-19-Diagnose in Deutschland bereitgestellt. Über das syndromische Surveillance-Modul SEED-ARE werden aus Sentinelpraxen Daten von gesetzlich versicherten Patientinnen und Patienten mit einer akuten Atemwegserkrankung inklusive der jeweiligen ICD-10-Diagnosecodes elektronisch übermittelt. Die COVID-ARE-Konsultationsinzidenz wird pro 100.000 Einwohner und nach Altersgruppen ausgewiesen. Der Datensatz ermöglicht eine zeitnahe Einschätzung der Krankheitslast und unterstützt evidenzbasierte Entscheidungen im Infektionsgeschehen mit COVID-19.
DOI: 10.15468/dl.ebuxkv
title: Occurrence Download

description: A dataset containing 1 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Atergatis roseus",
 "Country is Lebanon",
 "HasCoordinate is true"
 ]
}

 The dataset includes 1 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0039122-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.yvbnb9
title: Occurrence Download

description: A dataset containing 6 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Atergatis roseus",
 "Country is Israel",
 "HasCoordinate is true"
 ]
}

 The dataset includes 6 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0039121-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.p4ef43
title: Occurrence Download

description: A dataset containing 1 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Atergatis roseus",
 "Country is Syrian Arab Republic",
 "HasCoordinate is true"
 ]
}

 The dataset includes 1 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0039123-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.7488/ds/8018
title: Targeted ligand design using a combined computational and experimental approach to unlock new metal separations

description: As societal demand for metals grows, sustainable routes to their efficient recovery from primary ores and secondary waste streams have become increasingly important. In this regard, understanding the chemical detail of metal separations is implicit to designing more efficient and environmentally benign processes. Herein, we report a combined computational and experimental approach to targeted ligand design by modification of a simple diamide (L), previously reported as a selective precipitant for Au. This afforded three new reagents through the addition of electron-donating (LOMe) and withdrawing (LCl) groups, and the inversion of the amide linkage (Linv). Computational studies confirmed the expected trends in protonation of the amide and subsequent metal uptake experiments showed all ligands act as selective precipitants for Au at low acid concentrations in the presence of an excess of ligand. Significantly however, the use of stoichiometric amounts of LOMe and LCl resulted in a switch in selectivity from square-planar (AuCl4-) to tetrahedral metalates (GaCl4- and FeCl4-), with precipitation suppressed for Linv. Computational modelling rationalised this reversal in metalate selectivity with LOMe and LCl on thermodynamic grounds, while Hirshfeld surfaces, NCI plots and QTAIM analyses highlighted halogen bonding as the most important structure directing interaction. Importantly, preliminary studies with LOMe suggested a viable pathway to the separation of Ga and Fe from industrially generated waste streams, which could be exploited in the recycling of zinc residues and end-of-life GaN light-emitting diodes.
DOI: 10.15468/dl.7pyfj9
title: Occurrence Download

description: A dataset containing 31211 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Cryphonectria parasitica"
 ]
}

 The dataset includes 31211 records from 85 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0039124-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.vsz547
title: Occurrence Download

description: A dataset containing 10 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Atergatis roseus",
 "Country is Türkiye",
 "HasCoordinate is true"
 ]
}

 The dataset includes 10 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0039125-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.txdexx
title: Occurrence Download

description: A dataset containing 5632 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Human Observation",
 "Continent is one of (Africa, Europe, Asia)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Hirundo rustica rustica"
 ]
}

 The dataset includes 5632 records from 12 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0039126-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.13140/2.1.4778.6889
title: Transport of Contaminants in Groundwater by Advection-Dispersion-Retardation-Decay (Analytical Solution): Spreadsheet
DOI: 10.5281/zenodo.15648803
title: Supplementary material to "AI for Requirements Engineering: Industry adoption and Practitioner perspectives"

description: This resource includes all the Supplementary materials for the Research paper: AI for Requirements Engineering: Industry adoption and Practitioner perspectives. I

Main Contents:



Data analysis code in .ipynb format

Data for analysis in .xlsx format

Thematic Analysis code book

Survey Questionnaire in .pdf format
DOI: 10.5281/zenodo.16926585
title: Supplementary material to "AI for Requirements Engineering: Industry adoption and Practitioner perspectives"

description: This resource includes all the Supplementary materials for the Research paper: AI for Requirements Engineering: Industry adoption and Practitioner perspectives. I

Main Contents:



Data analysis code in .ipynb format

Data for analysis in .xlsx format

Thematic Analysis code book

Survey Questionnaire in .pdf format
DOI: 10.5281/zenodo.17248728
title: SARI-Hospitalisierungsinzidenz

description: Im Datensatz "SARI-Hospitalisierungsinzidenz" des Robert Koch-Instituts werden die wöchentlichen Inzidenzen schwerer akuter respiratorischer Infektionen (SARI) auf Bundesebene in Deutschland bereitgestellt. Die Daten stammen aus der syndromischen Krankenhaussurveillance ICOSARI, die auf ICD-10-Diagnosecodes aus etwa 70 Sentinelkliniken basiert. Der Datensatz umfasst Hospitalisierungsinzidenzen pro 100.000 Einwohner, aufgeschlüsselt nach Altersgruppen, Saison und Kalenderwoche. Neben der Gesamtheit aller SARI-Fälle werden auch Fälle mit zusätzlicher COVID-19-, Influenza- oder RSV-Diagnose separat erfasst. Die Surveillance liefert entscheidende Informationen zur Krankheitslast akuter respiratorischer Erkrankungen und dient als Grundlage für epidemiologische Bewertungen und Empfehlungen für gesundheitspolitische Maßnahmen.
DOI: 10.5281/zenodo.17248729
title: GrippeWeb - Daten des Wochenberichts

description: Im Datensatz "GrippeWeb - Daten des Wochenberichts" des Robert Koch-Instituts werden wöchentliche, bevölkerungsbasierte Schätzungen zur Inzidenz akuter respiratorischer Erkrankungen (ARE) und grippeähnlicher Erkrankungen (ILI) in Deutschland bereitgestellt. GrippeWeb als Online-Portal zur partizipativen syndromischen Surveillance nutzt Selbstauskünfte freiwilliger, pseudonym registrierter Teilnehmender ab 16 Jahren zu Symptomen wie Husten, Fieber und Halsschmerzen. Daraus werden Inzidenzen nach Altersgruppen und Regionen errechnet. Die erhobenen Daten unterstützen die Überwachung saisonaler Infektionen und dienen der Risikobewertung in Pandemien wie COVID-19.
DOI: 10.15468/dl.tx2ea2
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Apanthura sandalensis",
 "Country is Cyprus",
 "HasCoordinate is true"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0039128-250920141307145/datasets/export for details.
DOI: 10.15468/dl.h9fkma
title: Occurrence Download

description: A dataset containing 1 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Apanthura sandalensis",
 "Country is Egypt",
 "HasCoordinate is true"
 ]
}

 The dataset includes 1 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0039129-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.13140/2.1.2190.0168
title: Oxytocin- neurophilosophy of human beings- social and emotional life - Gomez Restrepo Gomez 2012 Unipluriversidad Univ of Antioquia
DOI: 10.15468/dl.vephea
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Apanthura sandalensis",
 "Country is Lebanon",
 "HasCoordinate is true"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0039130-250920141307145/datasets/export for details.
DOI: 10.15468/dl.mdspmc
title: Occurrence Download

description: A dataset containing 227 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Continent is Africa",
 "Country is Ethiopia",
 "OccurrenceStatus is Present",
 "TaxonKey is Apis mellifera"
 ]
}

 The dataset includes 227 records from 6 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0039131-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.2sxqeu
title: Occurrence Download

description: A dataset containing 128188 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Lymantria dispar"
 ]
}

 The dataset includes 128188 records from 746 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0039100-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.pya7u6
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Apanthura sandalensis",
 "Country is Libya",
 "HasCoordinate is true"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0039132-250920141307145/datasets/export for details.
DOI: 10.15468/dl.juna7y
title: Occurrence Download

description: A dataset containing 104749 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Vespidae",
 "Year is 2024",
 "Continent is Europe",
 "HasCoordinate is true"
 ]
}

 The dataset includes 104749 records from 61 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0039069-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.13140/2.1.1657.5364
title: Science & Education. Strategies of teaching and learning in Science Education - Presentation
DOI: 10.15468/dl.k834c5
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Erugosquilla massavensis",
 "Country is Cyprus",
 "HasCoordinate is true"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0039133-250920141307145/datasets/export for details.
DOI: 10.15468/dl.bp2j2x
title: Occurrence Download

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

 The dataset includes 4 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0039134-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.sfz7j6
title: Occurrence Download

description: A dataset containing 2 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Erugosquilla massavensis",
 "Country is Greece",
 "HasCoordinate is true"
 ]
}

 The dataset includes 2 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0039135-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.17248132
title: Extensive pelagic habitat use by adult yellowtail kingfish (Seriola lalandi) across the Tasman Sea

description: Yellowtail kingfish pop-up satellite archival tag data from south-eastern Australia and New Zealand for 2022-2025.
DOI: 10.5281/zenodo.17248133
title: Extensive pelagic habitat use by adult yellowtail kingfish (Seriola lalandi) across the Tasman Sea

description: Yellowtail kingfish pop-up satellite archival tag data from south-eastern Australia and New Zealand for 2022-2025.
DOI: 10.34740/kaggle/dsv/13237366
title: PianoRecordingsSingleNotes
DOI: 10.34740/kaggle/dsv/13237369
title: Peer-to-Peer Boliviano (BOB) Exchange Data
DOI: 10.15468/dl.kpqn3k
title: Occurrence Download

description: A dataset containing 26421 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Vespidae",
 "Year is 2024",
 "Continent is North America",
 "HasCoordinate is true"
 ]
}

 The dataset includes 26421 records from 20 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0039136-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.7xqbfz
title: Occurrence Download

description: A dataset containing 878538 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Poa trivialis)",
 "HasCoordinate is true"
 ]
}

 The dataset includes 878538 records from 3073 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0039119-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/jqkqp9
title: A new sauropod species from north-western Brazil: biomechanics and the radiation of Titanosauria (Sauropoda: Somphospondyli)

description: This dataset contains the digitized treatments in Plazi based on the original journal article Pereira, Paulo V L G C, Bandeira, Kamila L N, Vidal, Luciano S, Ribeiro, Theo B, Candeiro, Carlos R dos A, Bergqvist, Lilian P (2024): A new sauropod species from north-western Brazil: biomechanics and the radiation of Titanosauria (Sauropoda: Somphospondyli). Zoological Journal of the Linnean Society 202 (4): 1-21, DOI: 10.1093/zoolinnean/zlae054, URL: https://doi.org/10.1093/zoolinnean/zlae054
DOI: 10.15468/dl.xrrw9v
title: Occurrence Download

description: A dataset containing 8 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is one of (Observation, Machine Observation, Human Observation, Material sample, Material citation, Fossil, Living Specimen, Occurrence evidence)",
 "TaxonKey is Ulva adhaerens Matsumoto & Shimada, 2015"
 ]
}

 The dataset includes 8 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0069604-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17632/6243z8r6t6
title: Multi-Crop Disease Dataset

description: This dataset presents a comprehensive collection of annotated images of diseased and healthy leaves across five important agricultural crops: Banana, Chilli, Radish, Groundnut, and Cauliflower. The dataset was created to support research in plant disease detection, precision agriculture, and deep learning-based crop monitoring systems.

Research Hypothesis
Early detection and classification of crop diseases using image-based AI models can significantly reduce yield loss and improve sustainable farming practices. This dataset enables training and evaluation of such AI models across multiple crops and diverse disease types.

What the Data Shows
The dataset contains over 23,000 images captured in real agricultural settings, labeled using bounding box annotations. Each crop includes both healthy and multiple disease-specific categories, with more than 30 total classes (e.g., Sigatoka, Leaf Curl, Anthracnose, Rust, Downy Mildew, Black Rot, etc.).

Notable Features
High-quality images (640×640 resolution), collected using digital cameras and 200MP mobile phone cameras

Annotated with bounding boxes for object detection tasks

Data collected from Chengalpattu, Kanchipuram, and Krishnagiri districts, Tamil Nadu, India

Covers real-world variations in lighting, leaf orientation, and disease stages

How to Interpret and Use the Data
Images are organized by crop name and disease class

Annotations are provided in YOLO format (can be converted to COCO/VOC)

Suitable for training CNN, YOLO, Faster R-CNN, or ViT models for plant disease classification and localization

Ideal for researchers working on edge AI, TinyML, and mobile agriculture apps

Potential Applications
Real-time disease diagnosis in smart farming systems

Academic research in plant pathology and computer vision

Benchmarking object detection models in agricultural settings
DOI: 10.17632/6243z8r6t6.1
title: Multi-Crop Disease Dataset

description: This dataset presents a comprehensive collection of annotated images of diseased and healthy leaves across five important agricultural crops: Banana, Chilli, Radish, Groundnut, and Cauliflower. The dataset was created to support research in plant disease detection, precision agriculture, and deep learning-based crop monitoring systems.

Research Hypothesis
Early detection and classification of crop diseases using image-based AI models can significantly reduce yield loss and improve sustainable farming practices. This dataset enables training and evaluation of such AI models across multiple crops and diverse disease types.

What the Data Shows
The dataset contains over 23,000 images captured in real agricultural settings, labeled using bounding box annotations. Each crop includes both healthy and multiple disease-specific categories, with more than 30 total classes (e.g., Sigatoka, Leaf Curl, Anthracnose, Rust, Downy Mildew, Black Rot, etc.).

Notable Features
High-quality images (640×640 resolution), collected using digital cameras and 200MP mobile phone cameras

Annotated with bounding boxes for object detection tasks

Data collected from Chengalpattu, Kanchipuram, and Krishnagiri districts, Tamil Nadu, India

Covers real-world variations in lighting, leaf orientation, and disease stages

How to Interpret and Use the Data
Images are organized by crop name and disease class

Annotations are provided in YOLO format (can be converted to COCO/VOC)

Suitable for training CNN, YOLO, Faster R-CNN, or ViT models for plant disease classification and localization

Ideal for researchers working on edge AI, TinyML, and mobile agriculture apps

Potential Applications
Real-time disease diagnosis in smart farming systems

Academic research in plant pathology and computer vision

Benchmarking object detection models in agricultural settings