cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15468/dl.af6nqf
title: Occurrence Download

description: A dataset containing 341868 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is China",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "Year is 2015"
 ]
}

 The dataset includes 341868 records from 276 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0338044-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.gkqw9p
title: Occurrence Download

description: A dataset containing 177 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Human Observation",
 "Country is United States of America",
 "Geometry POLYGON((-94.65257 31.61633,-94.64939 31.61633,-94.64939 31.62054,-94.65257 31.62054,-94.65257 31.61633))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Solenopsis invicta Buren, 1972",
 "Year 2021-2021"
 ]
}

 The dataset includes 177 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0033778-231002084531237/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.jj48qm
title: Occurrence Download

description: A dataset containing 341 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Lasiurus cinereus (Palisot de Beauvois, 1796)",
 "HasGeospatialIssue is false",
 "Geometry POLYGON((-123.12 32.39,-123.12 39.48,-109.35 39.48,-109.35 32.39,-123.12 32.39))"
 ]
}

 The dataset includes 341 records from 21 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0004775-160623103540712/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.oply56
title: Occurrence Download

description: A dataset containing 46744 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Norway",
 "Year 2009-2019",
 "TaxonKey is Coccothraustes coccothraustes (Linnaeus, 1758)"
 ]
}

 The dataset includes 46744 records from 10 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0014082-191105090559680/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.gehb7q
title: Occurrence Download

description: A dataset containing 902 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Eudyptes pachyrhynchus G.R.Gray, 1845",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 "HasGeospatialIssue is false",
 "DecimalLatitude is greater than -90",
 "DecimalLongitude is greater than -180",
 "Year is less than or equal to 2014",
 "Year is greater than or equal to 1850"
 ]
}

 The dataset includes 902 records from 30 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0157688-230224095556074/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.f4xekd
title: Occurrence Download

description: A dataset containing 92 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Pinus yecorensis Debreczy & Rácz"
 ]
}

 The dataset includes 92 records from 10 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0004775-160822134323880/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.pb9fvh
title: Occurrence Download

description: A dataset containing 5416 species occurrences available in GBIF matching the query:
{
 "and" : [
 {
 "or" : [
 "PublishingCountry is Colombia",
 {
 "and" : [
 "Country is Colombia",
 {
 "not" : {
 "Issue" : [
 "is Country coordinate mismatch"
 ]
 }
 }
 ]
 }
 ]
 },
 "TaxonKey is one of (Myrmecophaga tridactyla Linnaeus, 1758)"
 ]
}

 The dataset includes 5416 records from 101 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0195268-240321170329656/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.zes6aw
title: Occurrence Download

description: A dataset containing 5037 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Vicia grandiflora Scop."
 ]
}

 The dataset includes 5037 records from 153 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0338033-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.w2oklz
title: Occurrence Download

description: A dataset containing 3788 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is Faun"
 ]
}

 The dataset includes 3788 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0004775-160910150852091/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.98744h
title: Occurrence Download

description: A dataset containing 23682 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Setophaga chrysoparia (P.L.Sclater & Salvin, 1860)",
 "HasCoordinate is True",
 "Year is greater than or equal to 2000",
 "Year is less than or equal to 2021",
 "Month is greater than or equal to January",
 "Month is less than or equal to December",
 "HasGeospatialIssue is False"
 ]
}

 The dataset includes 23682 records from 11 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0157670-230224095556074/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.7y56wt
title: Occurrence Download

description: A dataset containing 448370 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is China",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "Year 2016-2016"
 ]
}

 The dataset includes 448370 records from 292 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0338043-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.howys0
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "DatasetKey is Microbial communities (Bacteria, Eukaryotes and Fungi) in Arctic, Antarctic and Sub-Antarctic lacustrine biofilms"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0041453-181108115102211/datasets/export for details.
DOI: 10.15468/dl.d83ued
title: Occurrence Download

description: A dataset containing 23682 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Setophaga chrysoparia (P.L.Sclater & Salvin, 1860)",
 "HasCoordinate is True",
 "Year is greater than or equal to 2000",
 "Year is less than or equal to 2021",
 "Month is greater than or equal to January",
 "Month is less than or equal to December",
 "HasGeospatialIssue is False"
 ]
}

 The dataset includes 23682 records from 11 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0157687-230224095556074/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.tenn6o
title: Occurrence Download

description: A dataset containing 1298661 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Bombus Latreille, 1802"
 ]
}

 The dataset includes 1298661 records from 831 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003295-191105090559680/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.h6j6jq
title: Occurrence Download

description: A dataset containing 165 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is one of (Observation, Machine Observation, Human Observation)",
 "Geometry POLYGON((-17.57389 27.91786,-15.17507 27.58775,-15.54919 28.84217,-17.16675 28.56708,-17.57389 27.91786))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Chiroptera",
 "Year 2003-2023"
 ]
}

 The dataset includes 165 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0022823-250402121839773/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.nmpfjf
title: Occurrence Download

description: A dataset containing 38271 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is one of (Machine Observation, Human Observation, Living Specimen)",
 "OccurrenceStatus is Present",
 "TaxonKey is Testudo hermanni"
 ]
}

 The dataset includes 38271 records from 252 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0021942-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5522/04/30752767
title: RadarML Dataset

description: This is the "RadarML" dataset a publicly available dataset of experimentally captured modulated radar pulses recorded over-the-air across multiple independent receive channels. The dataset was captured on the UCL ARESTOR platform which is a Radio-Frequency-System-on-a-chip (RFSoC). Each waveform was designed based on its central frequency, bandwidth, duration and modulation type. The overall dataset contains over 2 million waveforms across 7 different modulation types. The goal of this dataset is to enable comparative analysis of Radar Modulation Classification techniques on real data and stimulate research into multi-channel signal detection methods. Baseline detection and classification results are presented in the linked publication, showing how the performance varies as a function of Signal to Noise ratio.
DOI: 10.5522/04/30752767.v1
title: RadarML Dataset

description: This is the "RadarML" dataset a publicly available dataset of experimentally captured modulated radar pulses recorded over-the-air across multiple independent receive channels. The dataset was captured on the UCL ARESTOR platform which is a Radio-Frequency-System-on-a-chip (RFSoC). Each waveform was designed based on its central frequency, bandwidth, duration and modulation type. The overall dataset contains over 2 million waveforms across 7 different modulation types. The goal of this dataset is to enable comparative analysis of Radar Modulation Classification techniques on real data and stimulate research into multi-channel signal detection methods. Baseline detection and classification results are presented in the linked publication, showing how the performance varies as a function of Signal to Noise ratio.
DOI: 10.5281/zenodo.17788776
title: Vitamin K scRNA mouse dataset

description: Seurat objects described and used in the manuscript.
DOI: 10.5281/zenodo.17741300
title: Vitamin K scRNA mouse dataset

description: Seurat objects described and used in the manuscript.
DOI: 10.57745/qlgcab
title: FLSN_scripts.zip

description: :unav
DOI: 10.15468/dl.asher2
title: Occurrence Download

description: A dataset containing 333321 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Spain",
 "DatasetKey is one of (Tercer Inventario Forestal Nacional. Ministerio de Agricultura, Alimentación y Medio Ambiente (España/Spain), Sistema de Información de la vegetación Ibérica y Macaronésica, Long-term record of defoliation intensity in monitoring plots of pine woodland by the pine processionary moth (Thaumetopoea pityocampa), FloraCAT: Banco de datos de los cormófitos de Cataluña, Banco de Datos de la Biodiversidad de la Comunitat Valenciana, Localización de táxones botánicos de interés para la identificación de hábitats de la REDIAM (Secretaría General de Medio Ambiente, Agua y Cambio Climático))",
 "Geometry POLYGON((-9.32372 43.16377,-8.42281 41.90602,-7.04774 42.08222,-6.19425 41.58763,-7.09516 41.12494,-6.66841 40.51494,-7.47449 39.64422,-7.00032 39.16794,-7.14257 38.20566,-7.61673 37.71968,-7.18999 37.23048,-5.67267 36.01274,-2.21128 36.81406,-0.8362 37.5695,0.11212 38.83631,-0.50429 39.64422,0.87078 40.69493,3.28902 42.22283,2.86227 42.57299,0.58629 42.64279,-1.78453 43.40539,-4.25018 43.40539,-5.62525 43.61173,-7.75898 43.64605,-9.32372 43.16377))",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Pinus halepensis"
 ]
}

 The dataset includes 333321 records from 6 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0021932-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17026/ar/anijec
title: PAN-00039930 - decorative Roman horse gear fitting group A17

description: &lt;p&gt;This find is registered at Portable Antiquities of the Netherlands with number PAN-00039930&lt;/p&gt;
description: Modified: 2025-07-31T18:06:07+02:00
DOI: 10.15468/dl.kvzfvf
title: Occurrence Download

description: A dataset listing the 16 species recorded in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((7.46095 47.63098,7.46542 47.54473,7.58299 47.54473,7.58102 47.63527,7.46095 47.63098))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Amphibia",
 "Year 2020-2025"
 ]
}

 The dataset's 16 records were derived from 8 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0021926-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.17741074
title: Plant Species Identification

description: # Plant Species Identification

## Overview

This dataset contains a collection of annotated images featuring various plant species commonly found in a natural or cultivated environment.The annotations consist of **bounding boxes (BBs)** marking the location of individual plants categorized into four main classes.

This dataset is ideal for training and evaluating object detection models in agricultural or ecological research contexts, specifically for tasks such as automated plant counting, localization, or preliminary species classification based on visual features.

## Data Structure

The dataset comprises **741 unique images** and is provided with annotations in the COCO JSON format.

### Plant Categories

The annotations classify plants into four main groups:

| Category ID | English Name | Portuguese Name | Description || :--- | :--- | :--- | :--- || 1 | **shrubs** | arbustos | Woody plants, smaller than a tree, typically having multiple main stems. || 2 | **grasses** | gramineas | Herbaceous, non-woody plants with narrow leaves growing from the base (e.g., cereals, pasture grasses). || 3 | **legumes** | leguminosas | Plants that produce seeds in pods, often having nitrogen-fixing properties. || 4 | **others** | outras | Any other plant type not covered by the preceding categories. |

---

## Dataset Statistics

The current release contains a total of **1744 bounding box annotations** (plants).The distribution across the four categories is well-balanced:

### Summary Metrics

* **Total Number of Images:** 741* **Total Number of Plants Annotated:** 1744

### Samples per Category

| Class Name (English) | Number of Samples | Percentage of Total || :--- | :--- | :--- || **shrubs** | 407 | 23.34% || **grasses** | 486 | 27.87% || **legumes** | 473 | 27.12% || **others** | 378 | 21.67% || **Total** | 1744 | 100.00% |
DOI: 10.5281/zenodo.17741075
title: Plant Species Identification

description: # Plant Species Identification

## Overview

This dataset contains a collection of annotated images featuring various plant species commonly found in a natural or cultivated environment.The annotations consist of **bounding boxes (BBs)** marking the location of individual plants categorized into four main classes.

This dataset is ideal for training and evaluating object detection models in agricultural or ecological research contexts, specifically for tasks such as automated plant counting, localization, or preliminary species classification based on visual features.

## Data Structure

The dataset comprises **741 unique images** and is provided with annotations in the COCO JSON format.

### Plant Categories

The annotations classify plants into four main groups:

| Category ID | English Name | Portuguese Name | Description || :--- | :--- | :--- | :--- || 1 | **shrubs** | arbustos | Woody plants, smaller than a tree, typically having multiple main stems. || 2 | **grasses** | gramineas | Herbaceous, non-woody plants with narrow leaves growing from the base (e.g., cereals, pasture grasses). || 3 | **legumes** | leguminosas | Plants that produce seeds in pods, often having nitrogen-fixing properties. || 4 | **others** | outras | Any other plant type not covered by the preceding categories. |

---

## Dataset Statistics

The current release contains a total of **1744 bounding box annotations** (plants).The distribution across the four categories is well-balanced:

### Summary Metrics

* **Total Number of Images:** 741* **Total Number of Plants Annotated:** 1744

### Samples per Category

| Class Name (English) | Number of Samples | Percentage of Total || :--- | :--- | :--- || **shrubs** | 407 | 23.34% || **grasses** | 486 | 27.87% || **legumes** | 473 | 27.12% || **others** | 378 | 21.67% || **Total** | 1744 | 100.00% |
DOI: 10.48372/f9eq-5359
title: RESTORE4Cs Coastal wetlands Habitats and Ecosystem services of the six case studies across Europe
DOI: 10.5281/zenodo.17788829
title: Impact of Carbon Source Type and Dosage on Microbial Interactions and Phosphorus Release from Marine Sediments

description: This dataset contains chemical and microbial measurements generated during 15-day anaerobic incubations investigating how different carbon sources and concentrations affect phosphorus release from marine sediments. Treatments include multiple dosages of glucose and volatile fatty acids, with samples collected at several time points to monitor changes in dissolved phosphorus and sediment characteristics. Microbial community composition was analysed using 16S rRNA sequencing. The dataset shows that optimal carbon addition enhances phosphorus release, whereas excessive carbon stimulates microbial uptake of phosphorus and reduces its concentration in the overlying water. These data provide insights into carbon-driven microbial succession, sediment biochemical processes, and metabolic pathways relevant to phosphorus recovery.
DOI: 10.5281/zenodo.17788830
title: Impact of Carbon Source Type and Dosage on Microbial Interactions and Phosphorus Release from Marine Sediments

description: This dataset contains chemical and microbial measurements generated during 15-day anaerobic incubations investigating how different carbon sources and concentrations affect phosphorus release from marine sediments. Treatments include multiple dosages of glucose and volatile fatty acids, with samples collected at several time points to monitor changes in dissolved phosphorus and sediment characteristics. Microbial community composition was analysed using 16S rRNA sequencing. The dataset shows that optimal carbon addition enhances phosphorus release, whereas excessive carbon stimulates microbial uptake of phosphorus and reduces its concentration in the overlying water. These data provide insights into carbon-driven microbial succession, sediment biochemical processes, and metabolic pathways relevant to phosphorus recovery.
DOI: 10.15468/dl.juaydp
title: Occurrence Download

description: A dataset containing 1334 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Continent is Europe",
 "DatasetKey is iNaturalist Research-grade Observations",
 "TaxonKey is Anguilla anguilla"
 ]
}

 The dataset includes 1334 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0021944-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.18419/darus-1643
title: Supplementary material for 'Prediction of Adsorption Isotherms and Selectivities: Comparison between Classical Density Functional Theory Based on the Perturbed-Chain Statistical Associating Fluid Theory Equation of State and Ideal Adsorbed Solution Theory'

description: This dataset contains simulation results in ASCII format accompanying the mentioned publication. The filename is structured in the following kind: Number of the figure in which the data is shown, method of simulation (TMMC Transition Matrix Monte Carlo, DFT Density Functional Theory), adsorbate(s), temperature, poregeometry (cylindrical pore or slitpore - the size of slitpores is given in the files). For DFT results files are distinguished by adsorption and desorption.
DOI: 10.17026/ar/u7fijm
title: PAN-00175999 - wire brooch with stretched semi-circular bow

description: &lt;p&gt;This find is registered at Portable Antiquities of the Netherlands with number PAN-00175999&lt;/p&gt;
description: Modified: 2025-08-12T12:38:32+02:00
DOI: 10.18419/darus-2052
title: Visual Analytics System for Hidden States in Recurrent Neural Networks

description: Source code of our visual analytics system for the interpretation of hidden states in recurrent neural networks.&lt;br&gt;
This project contains source code for preprocessing data and the visual analytics system. Additionally, we added precomputed data for immediate use in the visual analysis system.&lt;br&gt;
&lt;br&gt;
The sub directories contain the following:
&lt;ul&gt;
 &lt;li&gt;&lt;i&gt;dataPreparation:&lt;/i&gt; Python scripts to prepare data for analysis. In these scripts, Long Short-Term Memory (LSTM) models are trained and data for our visual analytics system is exported.&lt;/li&gt;
 &lt;li&gt;&lt;i&gt;visualAnalytics:&lt;/i&gt; The source code of our visual analytics system to explore hidden states.&lt;/li&gt;
 &lt;li&gt;&lt;i&gt;demonstrationData:&lt;/i&gt; Data files for the use with our visual analytics system. The same data can also be generated with the data preparation scripts.&lt;/li&gt;
&lt;/ul&gt;
&lt;br&gt;
We provide two scripts to generate data for analysis in our visual analytics system: for the IMDB and Reuters dataset as available in Keras. The output files can then be loaded into our visual analytics system; their locations have to be specified in &lt;i&gt;userData.toml&lt;/i&gt; of the visual analytics system.
&lt;br&gt;
&lt;br&gt;
The output file of our data preparation scripts or the ones provided for demonstration can be loaded in our visual analytics system for visualization and analysis. Since we provide input files, you do not have to run the preprocessing steps and can use our visual analytics system immediately.
&lt;br&gt;
&lt;br&gt;
Please have a look at the respective README-files for more details.
description: You may find the most recent version of the source code on GitHub: https://github.com/MunzT/hiddenStatesVis
<br>
description: IMDB and Reuters datasets:<br>
F. Chollet. Keras. GitHub. https://github.com/fchollet/keras. 2015.