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

description: A dataset containing 7436 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Issue is one of (Coordinate rounded, Geodetic datum invalid, Geodetic datum assumed WGS84, Coordinate reprojected, Coordinate reprojection failed, Coordinate reprojection suspicious, Coordinate accuracy invalid, Coordinate precision invalid, Coordinate uncertainty meters invalid, Coordinate precision/uncertainty mismatch, Footprint SRS invalid, Footprint WKT mismatch, Footprint WKT invalid, Country coordinate mismatch, Country mismatch, Country invalid, Country derived from coordinates, Continent coordinate mismatch, Continent country mismatch, Continent invalid, Continent derived from country, Continent derived from coordinates, Presumed swapped coordinate, Presumed negated longitude, Presumed negated latitude, Recorded date mismatch, Recorded date invalid, Recorded date unlikely, Taxon match fuzzy, Taxon match higher rank, Taxon match aggregate, The scientific name ID was not used in backbone matching, The taxon concept ID was not used in backbone matching, The taxon ID was not used in backbone matching, The scientific name ID was not found in the checklist, The taxon concept ID was not found in the checklist, The taxon ID was not found in the checklist, The scientific name differs on the record from that found in the checklist, Taxon match none, The backbone match found using the taxon IDs differs from what would be found if using the scientific names, Depth not metric, Depth unlikely, Depth min max swapped, Depth non numeric, Elevation unlikely, Elevation min max swapped, Elevation not metric, Elevation non numeric, Modified date invalid, Modified date unlikely, Identified date unlikely, Identified date invalid, Basis of record invalid, Type status invalid, Multimedia date invalid, Multimedia URI invalid, References URI invalid, Error during interpretation, Individual count invalid, Individual count conflicts with occurrence status, Occurrence status unparsable, Occurrence status inferred from individual count, ccurrence status inferred from basis of record, Georeferenced date unlikely, Georeferenced date invalid, Ambiguous institution, Ambiguous collection, Institution match none, Collection match none, Institution match fuzzy, Collection match fuzzy, Institution collection mismatch, Possibly on loan, Different owner institution)",
 "TaxonKey is Ipomoea lacunosa L."
 ]
}

 The dataset includes 7436 records from 248 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0009770-250310093411724/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.njjtsh
title: Occurrence Download

description: A dataset containing 3523 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Belgium",
 "TaxonKey is Salamandra salamandra (Linnaeus, 1758)"
 ]
}

 The dataset includes 3523 records from 17 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0009771-250310093411724/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.6084/m9.figshare.28601354
title: Figure 3

description: Raw dataset
DOI: 10.6084/m9.figshare.28601354.v1
title: Figure 3

description: Raw dataset
DOI: 10.15468/dl.kn7rdn
title: Occurrence Download

description: A dataset containing 325 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Rhipidomys mastacalis (Lund, 1840)"
 ]
}

 The dataset includes 325 records from 26 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0009772-250310093411724/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.s7qwa7
title: Occurrence Download

description: A dataset containing 3085 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Issue is one of (Coordinate rounded, Geodetic datum invalid, Geodetic datum assumed WGS84, Coordinate reprojected, Coordinate reprojection failed, Coordinate reprojection suspicious, Coordinate accuracy invalid, Coordinate precision invalid, Coordinate uncertainty meters invalid, Coordinate precision/uncertainty mismatch, Footprint SRS invalid, Footprint WKT mismatch, Footprint WKT invalid, Country coordinate mismatch, Country mismatch, Country invalid, Country derived from coordinates, Continent coordinate mismatch, Continent country mismatch, Continent invalid, Continent derived from country, Continent derived from coordinates, Presumed swapped coordinate, Presumed negated longitude, Presumed negated latitude, Recorded date mismatch, Recorded date invalid, Recorded date unlikely, Taxon match fuzzy, Taxon match higher rank, Taxon match aggregate, The scientific name ID was not used in backbone matching, The taxon concept ID was not used in backbone matching, The taxon ID was not used in backbone matching, The scientific name ID was not found in the checklist, The taxon concept ID was not found in the checklist, The taxon ID was not found in the checklist, The scientific name differs on the record from that found in the checklist, Taxon match none, The backbone match found using the taxon IDs differs from what would be found if using the scientific names, Depth not metric, Depth unlikely, Depth min max swapped, Depth non numeric, Elevation unlikely, Elevation min max swapped, Elevation not metric, Elevation non numeric, Modified date invalid, Modified date unlikely, Identified date unlikely, Identified date invalid, Basis of record invalid, Type status invalid, Multimedia date invalid, Multimedia URI invalid, References URI invalid, Error during interpretation, Individual count invalid, Individual count conflicts with occurrence status, Occurrence status unparsable, Occurrence status inferred from individual count, ccurrence status inferred from basis of record, Georeferenced date unlikely, Georeferenced date invalid, Ambiguous institution, Ambiguous collection, Institution match none, Collection match none, Institution match fuzzy, Collection match fuzzy, Institution collection mismatch, Possibly on loan, Different owner institution)",
 "TaxonKey is Solanum aculeatissimum Jacq."
 ]
}

 The dataset includes 3085 records from 216 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0009774-250310093411724/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.fyrsak
title: Occurrence Download

description: A dataset containing 7354 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Aphis fabae Scopoli, 1763",
 "HasGeospatialIssue is false",
 "HasCoordinate is true"
 ]
}

 The dataset includes 7354 records from 104 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0009773-250310093411724/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.15031179
title: Dataset for "Computer Vision for Resource Optimisation in Dairy Cows Drinking and Backyard Chickens Nesting behaviour"

description: Animal Behavior Analysis with Computer Vision

This repository contains two YOLO-based computer vision projects for animal behavior analysis, along with training datasets and processed results:

Datasets

## Poultry Behaviour and Egg Detection DatasetContains 1272 high-resolution (2560x1440) images with 1172 annotation files in YOLO format for training models to detect:- Chickens- Guinea Fowls- Eggs

Images were captured during summer months from a backyard coop, specifically for analyzing nest occupancy patterns and egg-laying behavior.

Directory Structure:

training_data_(chicken_guinneafowl_egg)/



train/



images/

labels/



val/



images/

labels/



labels.txt


 

## Cattle Feeding Behaviour DatasetContains 1140 images (1920x1080) with matching annotation files for training YOLO models to detect:- Cow Heads- Cow Bodies- Water Troughs

This dataset was derived from research conducted by Koskela et al. (2023): https://doi.org/10.23986/afsci.111665

Directory Structure:

training_data_(head_body_trough)/



train/



images/

labels/



val/



images/

labels/



labels.txt


Complementary_files include:

## Poultry Analysis- 22 CSV files containing temporal bird occupancy data and egg count statistics across 11 days of monitoring- Detailed nest usage patterns and bird preferences

## Cattle Analysis- Processed video tracking data showing cow feeding interactions- Individual animal tracking information with temporal and spatial dimensions

## Python scripts (coop_analysis.py and cow_interaction_analysis.py), associated README files, and requirements.txt specifications

These materials were developed as part of research demonstrating practical applications for automated monitoring of animal behavior in poultry and cattle environments, conducted for the thesis "Computer Vision for Resource Optimisation in Dairy Cows Drinking and Backyard Chickens Nesting behaviour" (DOI: ).
DOI: 10.5281/zenodo.15031180
title: Dataset for "Computer Vision for Resource Optimisation in Dairy Cows Drinking and Backyard Chickens Nesting behaviour"

description: Animal Behavior Analysis with Computer Vision

This repository contains two YOLO-based computer vision projects for animal behavior analysis, along with training datasets and processed results:

Datasets

## Poultry Behaviour and Egg Detection DatasetContains 1272 high-resolution (2560x1440) images with 1172 annotation files in YOLO format for training models to detect:- Chickens- Guinea Fowls- Eggs

Images were captured during summer months from a backyard coop, specifically for analyzing nest occupancy patterns and egg-laying behavior.

Directory Structure:

training_data_(chicken_guinneafowl_egg)/



train/



images/

labels/



val/



images/

labels/



labels.txt


 

## Cattle Feeding Behaviour DatasetContains 1140 images (1920x1080) with matching annotation files for training YOLO models to detect:- Cow Heads- Cow Bodies- Water Troughs

This dataset was derived from research conducted by Koskela et al. (2023): https://doi.org/10.23986/afsci.111665

Directory Structure:

training_data_(head_body_trough)/



train/



images/

labels/



val/



images/

labels/



labels.txt


Complementary_files include:

## Poultry Analysis- 22 CSV files containing temporal bird occupancy data and egg count statistics across 11 days of monitoring- Detailed nest usage patterns and bird preferences

## Cattle Analysis- Processed video tracking data showing cow feeding interactions- Individual animal tracking information with temporal and spatial dimensions

## Python scripts (coop_analysis.py and cow_interaction_analysis.py), associated README files, and requirements.txt specifications

These materials were developed as part of research demonstrating practical applications for automated monitoring of animal behavior in poultry and cattle environments, conducted for the thesis "Computer Vision for Resource Optimisation in Dairy Cows Drinking and Backyard Chickens Nesting behaviour" (DOI: ).
DOI: 10.5281/zenodo.3981400
title: Data set of labeled scenes in a barn in front of automatic milking system

description: This data set includes supplementary files to our article \emph{"Deep learning image recognition of cow behavior near an automatic milking robot with an open data set"} (Leonardo Santiago Benitez Pereira, Olli Koskela, Ilpo Pölönen, Ilmo Aronen and Iivari Kunttu, in review, 2020). We acquired continuous video data over two-month period of cows in front of Automatic Milking Station (AMS). Each frame of the video is labeled as a single image belonging to one of classes described below. This data set includes 253 files of video data having in total \num{1526473} labeled frames. The data set used in the article consisted of 280 videos, but for privacy reasons, 27 video files including persons were removed from this data set, but their Java Script Object Notation (JSON) label files are left for, e.g., temporal analyses.
DOI: 10.15468/dl.ajc2p7
title: Occurrence Download

description: A dataset containing 25808 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Issue is one of (Coordinate rounded, Geodetic datum invalid, Geodetic datum assumed WGS84, Coordinate reprojected, Coordinate reprojection failed, Coordinate reprojection suspicious, Coordinate accuracy invalid, Coordinate precision invalid, Coordinate uncertainty meters invalid, Coordinate precision/uncertainty mismatch, Footprint SRS invalid, Footprint WKT mismatch, Footprint WKT invalid, Country coordinate mismatch, Country mismatch, Country invalid, Country derived from coordinates, Continent coordinate mismatch, Continent country mismatch, Continent invalid, Continent derived from country, Continent derived from coordinates, Presumed swapped coordinate, Presumed negated longitude, Presumed negated latitude, Recorded date mismatch, Recorded date invalid, Recorded date unlikely, Taxon match fuzzy, Taxon match higher rank, Taxon match aggregate, The scientific name ID was not used in backbone matching, The taxon concept ID was not used in backbone matching, The taxon ID was not used in backbone matching, The scientific name ID was not found in the checklist, The taxon concept ID was not found in the checklist, The taxon ID was not found in the checklist, The scientific name differs on the record from that found in the checklist, Taxon match none, The backbone match found using the taxon IDs differs from what would be found if using the scientific names, Depth not metric, Depth unlikely, Depth min max swapped, Depth non numeric, Elevation unlikely, Elevation min max swapped, Elevation not metric, Elevation non numeric, Modified date invalid, Modified date unlikely, Identified date unlikely, Identified date invalid, Basis of record invalid, Type status invalid, Multimedia date invalid, Multimedia URI invalid, References URI invalid, Error during interpretation, Individual count invalid, Individual count conflicts with occurrence status, Occurrence status unparsable, Occurrence status inferred from individual count, ccurrence status inferred from basis of record, Georeferenced date unlikely, Georeferenced date invalid, Ambiguous institution, Ambiguous collection, Institution match none, Collection match none, Institution match fuzzy, Collection match fuzzy, Institution collection mismatch, Possibly on loan, Different owner institution)",
 "TaxonKey is Triodanis perfoliata (L.) Nieuwl."
 ]
}

 The dataset includes 25808 records from 407 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0009775-250310093411724/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.s9njtp
title: Occurrence Download

description: A dataset containing 805 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Lipaphis pseudobrassicae (Davis, 1914)",
 "HasGeospatialIssue is false",
 "HasCoordinate is true"
 ]
}

 The dataset includes 805 records from 18 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0009776-250310093411724/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.6084/m9.figshare.28601366
title: Figure S1

description: Raw dataset
DOI: 10.15468/dl.z2h5kr
title: Occurrence Download

description: A dataset containing 6324 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Issue is one of (Coordinate rounded, Geodetic datum invalid, Geodetic datum assumed WGS84, Coordinate reprojected, Coordinate reprojection failed, Coordinate reprojection suspicious, Coordinate accuracy invalid, Coordinate precision invalid, Coordinate uncertainty meters invalid, Coordinate precision/uncertainty mismatch, Footprint SRS invalid, Footprint WKT mismatch, Footprint WKT invalid, Country coordinate mismatch, Country mismatch, Country invalid, Country derived from coordinates, Continent coordinate mismatch, Continent country mismatch, Continent invalid, Continent derived from country, Continent derived from coordinates, Presumed swapped coordinate, Presumed negated longitude, Presumed negated latitude, Recorded date mismatch, Recorded date invalid, Recorded date unlikely, Taxon match fuzzy, Taxon match higher rank, Taxon match aggregate, The scientific name ID was not used in backbone matching, The taxon concept ID was not used in backbone matching, The taxon ID was not used in backbone matching, The scientific name ID was not found in the checklist, The taxon concept ID was not found in the checklist, The taxon ID was not found in the checklist, The scientific name differs on the record from that found in the checklist, Taxon match none, The backbone match found using the taxon IDs differs from what would be found if using the scientific names, Depth not metric, Depth unlikely, Depth min max swapped, Depth non numeric, Elevation unlikely, Elevation min max swapped, Elevation not metric, Elevation non numeric, Modified date invalid, Modified date unlikely, Identified date unlikely, Identified date invalid, Basis of record invalid, Type status invalid, Multimedia date invalid, Multimedia URI invalid, References URI invalid, Error during interpretation, Individual count invalid, Individual count conflicts with occurrence status, Occurrence status unparsable, Occurrence status inferred from individual count, ccurrence status inferred from basis of record, Georeferenced date unlikely, Georeferenced date invalid, Ambiguous institution, Ambiguous collection, Institution match none, Collection match none, Institution match fuzzy, Collection match fuzzy, Institution collection mismatch, Possibly on loan, Different owner institution)",
 "TaxonKey is Hydrocotyle verticillata Thunb."
 ]
}

 The dataset includes 6324 records from 296 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0009777-250310093411724/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.4n43ts
title: Occurrence Download

description: A dataset containing 2542 species occurrences available in GBIF matching the query:
{
 "and" : [
 "DatasetKey is LACM Vertebrate Collection",
 "OccurrenceStatus is Present",
 "TaxonKey is Neotoma Say & Ord, 1825"
 ]
}

 The dataset includes 2542 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0009778-250310093411724/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.6084/m9.figshare.28601375
title: Figure S3

description: Raw dataset
DOI: 10.15468/dl.8ff4sd
title: Occurrence Download

description: A dataset containing 19950 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Aphis nerii Boyer de Fonscolombe, 1841",
 "HasGeospatialIssue is false",
 "HasCoordinate is true"
 ]
}

 The dataset includes 19950 records from 52 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0009779-250310093411724/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.34740/kaggle/dsv/11039511
title: Global Genomic Neurofibromatosis Neoplasia
DOI: 10.6084/m9.figshare.28601381
title: Figure S5

description: Raw dataset
DOI: 10.5281/zenodo.14833836
title: Reliable PID dual-rate controller based on LoRaWAN for long-range distributed systems - DATASET

description: This repository contains the simulation results for resech conducted on the use of DR-PID with LoRaWAN.

Additional information on the dataset can be found in the sheet "README".
DOI: 10.5281/zenodo.14833837
title: Reliable PID dual-rate controller based on LoRaWAN for long-range distributed systems - DATASET

description: This repository contains the simulation results for resech conducted on the use of DR-PID with LoRaWAN.

Additional information on the dataset can be found in the sheet "README".
DOI: 10.15468/dl.225sza
title: Occurrence Download

description: A dataset containing 26 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Aphis genistae Scopoli, 1763",
 "HasGeospatialIssue is false",
 "HasCoordinate is true"
 ]
}

 The dataset includes 26 records from 11 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0009780-250310093411724/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.jmn33b
title: Occurrence Download

description: A dataset containing 1 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Rhipidomys similis J.A.Allen, 1912"
 ]
}

 The dataset includes 1 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0009781-250310093411724/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.3j9y2e
title: Occurrence Download

description: A dataset containing 1363 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Aphis glycines Matsumura, 1917",
 "HasGeospatialIssue is false",
 "HasCoordinate is true"
 ]
}

 The dataset includes 1363 records from 12 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0009782-250310093411724/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.15025585
title: Global health risks lurking in livestock resistome

description: This repository contains a catalog of livestock manure ARGs, including latent ARG sequences, and ARG-carrying MAGs. This catalog yield from the manuscript "Global health risks lurking in livestock resistome".

Antibiotic resistance is a serious global health challenge and there is growing consensus that improved environmental surveillance could provide valuable information to inform local, national and international antibiotic resistance stewardship efforts. Livestock farming consumes over 70% of global antibiotics annually, making livestock manures an important vector of anthropogenically-influenced antibiotic resistance genes (ARGs). We used fARGene (v0.1) (48) to predict latent ARGs, which included 22 hmm profiles covering five primary antibiotic classes: beta-lactam, aminoglycoside, macrolide-lincosamide-streptogramin (MLS), quinolone, and tetracycline. ARGs that fall outside these HMM profiles were not included in this study. Additionly, we constructed a total of 123,872 metagenome-assembled genomes (MAGs) from livestock manure metagenomes by using MetaWRAP (v1.3.2).

In the main directory, you can found the sequence data in our study.