cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.21233/g5x8-x209
title: Alice Lake diatom surface sample dataset

description: Raw data for the Alice Lake diatom surface sample dataset submitted to the Neotoma Paleoecology Database. Data is available through the landing page in JSON format. The landing page referenced by the DOI also contains links to publications and a map-based viewer for the dataset. The Neotoma Paleoecology Database maintains a homepage at https://www.neotomadb.org.
DOI: 10.21233/qdeq-rh12
title: Lake Waynoka water chemistry dataset

description: Raw data for the Lake Waynoka water chemistry dataset submitted to the Neotoma Paleoecology Database. Data is available through the landing page in JSON format. The landing page referenced by the DOI also contains links to publications and a map-based viewer for the dataset. The Neotoma Paleoecology Database maintains a homepage at https://www.neotomadb.org.
DOI: 10.21233/mevz-f782
title: Goodwin-Baker [34RM14] vertebrate fauna dataset

description: Raw data for the Goodwin-Baker [34RM14] vertebrate fauna dataset submitted to the Neotoma Paleoecology Database. Data is available through the landing page in JSON format. The landing page referenced by the DOI also contains links to publications and a map-based viewer for the dataset. The Neotoma Paleoecology Database maintains a homepage at https://www.neotomadb.org.
DOI: 10.21233/pnca-wj18
title: Little Pine Lake water chemistry dataset

description: Raw data for the Little Pine Lake water chemistry dataset submitted to the Neotoma Paleoecology Database. Data is available through the landing page in JSON format. The landing page referenced by the DOI also contains links to publications and a map-based viewer for the dataset. The Neotoma Paleoecology Database maintains a homepage at https://www.neotomadb.org.
DOI: 10.21233/7s40-zr59
title: North 1 testate amoebae surface sample dataset

description: Raw data for the North 1 testate amoebae surface sample dataset submitted to the Neotoma Paleoecology Database. Data is available through the landing page in JSON format. The landing page referenced by the DOI also contains links to publications and a map-based viewer for the dataset. The Neotoma Paleoecology Database maintains a homepage at https://www.neotomadb.org.
DOI: 10.21233/kzxq-p329
title: Lake Concordia water chemistry dataset

description: Raw data for the Lake Concordia water chemistry dataset submitted to the Neotoma Paleoecology Database. Data is available through the landing page in JSON format. The landing page referenced by the DOI also contains links to publications and a map-based viewer for the dataset. The Neotoma Paleoecology Database maintains a homepage at https://www.neotomadb.org.
DOI: 10.21233/vpqc-yg17
title: La Grande Fen testate amoebae surface sample dataset

description: Raw data for the La Grande Fen testate amoebae surface sample dataset submitted to the Neotoma Paleoecology Database. Data is available through the landing page in JSON format. The landing page referenced by the DOI also contains links to publications and a map-based viewer for the dataset. The Neotoma Paleoecology Database maintains a homepage at https://www.neotomadb.org.
DOI: 10.21233/9jzm-2010
title: Swamp Lead 210 dataset

description: Raw data for the Swamp Lead 210 dataset submitted to the Neotoma Paleoecology Database. Data is available through the landing page in JSON format. The landing page referenced by the DOI also contains links to publications and a map-based viewer for the dataset. The Neotoma Paleoecology Database maintains a homepage at https://www.neotomadb.org.
DOI: 10.21233/tq38-ge38
title: Heffley Lake diatom dataset

description: Raw data for the Heffley Lake diatom dataset submitted to the Neotoma Paleoecology Database. Data is available through the landing page in JSON format. The landing page referenced by the DOI also contains links to publications and a map-based viewer for the dataset. The Neotoma Paleoecology Database maintains a homepage at https://www.neotomadb.org.
DOI: 10.21233/axw4-gg80
title: Buchanan [NiNg-1] vertebrate fauna dataset

description: Raw data for the Buchanan [NiNg-1] vertebrate fauna dataset submitted to the Neotoma Paleoecology Database. Data is available through the landing page in JSON format. The landing page referenced by the DOI also contains links to publications and a map-based viewer for the dataset. The Neotoma Paleoecology Database maintains a homepage at https://www.neotomadb.org.
DOI: 10.21233/pz37-6840
title: Karelia testate amoebae surface sample dataset

description: Raw data for the Karelia testate amoebae surface sample dataset submitted to the Neotoma Paleoecology Database. Data is available through the landing page in JSON format. The landing page referenced by the DOI also contains links to publications and a map-based viewer for the dataset. The Neotoma Paleoecology Database maintains a homepage at https://www.neotomadb.org.
DOI: 10.21233/efwz-6579
title: LDDsite4626 ostracode surface sample dataset

description: Raw data for the LDDsite4626 ostracode surface sample dataset submitted to the Neotoma Paleoecology Database. Data is available through the landing page in JSON format. The landing page referenced by the DOI also contains links to publications and a map-based viewer for the dataset. The Neotoma Paleoecology Database maintains a homepage at https://www.neotomadb.org.
DOI: 10.21233/1jx6-4j33
title: Tucson Mountains, Pima Co., AZ vertebrate fauna dataset

description: Raw data for the Tucson Mountains, Pima Co., AZ vertebrate fauna dataset submitted to the Neotoma Paleoecology Database. Data is available through the landing page in JSON format. The landing page referenced by the DOI also contains links to publications and a map-based viewer for the dataset. The Neotoma Paleoecology Database maintains a homepage at https://www.neotomadb.org.
DOI: 10.15468/dl.zh4ztk
title: Occurrence Download

description: A dataset containing 2615 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is one of (Observation, Human Observation, Occurrence evidence)",
 "Continent is Europe",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 "TaxonKey is Bison C.H.Smith, 1827",
 "Year 2000-2025"
 ]
}

 The dataset includes 2615 records from 16 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0021783-250426092105405/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.21233/yrxp-xr36
title: Beech Lake water chemistry dataset

description: Raw data for the Beech Lake water chemistry dataset submitted to the Neotoma Paleoecology Database. Data is available through the landing page in JSON format. The landing page referenced by the DOI also contains links to publications and a map-based viewer for the dataset. The Neotoma Paleoecology Database maintains a homepage at https://www.neotomadb.org.
DOI: 10.5281/zenodo.15366225
title: Extreme fire spread events to validate dry pyroconvection

description: Tables with information of the fires used to validate the dry pyroconvection role in the intensification ond extension of extreme fire events into the night.

The 'Table of Variables' document explains the variables in every column of the dataset

There are two datasets: 

EWE_global: Identifies the fires with date, coordinates, and daily spread

Fire_spread_events: Provide the spread hourly data, the spread simulation data,a and the fireABL results for the detailed hourly spread events
DOI: 10.5281/zenodo.15366226
title: Extreme fire spread events to validate dry pyroconvection

description: Tables with information of the fires used to validate the dry pyroconvection role in the intensification ond extension of extreme fire events into the night.

The 'Table of Variables' document explains the variables in every column of the dataset

There are two datasets: 

EWE_global: Identifies the fires with date, coordinates, and daily spread

Fire_spread_events: Provide the spread hourly data, the spread simulation data,a and the fireABL results for the detailed hourly spread events
DOI: 10.21233/pgh1-dq60
title: Hawthorn Lake water chemistry dataset

description: Raw data for the Hawthorn Lake water chemistry dataset submitted to the Neotoma Paleoecology Database. Data is available through the landing page in JSON format. The landing page referenced by the DOI also contains links to publications and a map-based viewer for the dataset. The Neotoma Paleoecology Database maintains a homepage at https://www.neotomadb.org.
DOI: 10.21233/ygwt-qt48
title: Jigsaw Lake testate amoebae surface sample dataset

description: Raw data for the Jigsaw Lake testate amoebae surface sample dataset submitted to the Neotoma Paleoecology Database. Data is available through the landing page in JSON format. The landing page referenced by the DOI also contains links to publications and a map-based viewer for the dataset. The Neotoma Paleoecology Database maintains a homepage at https://www.neotomadb.org.
DOI: 10.15468/dl.t9bm9w
title: Occurrence Download

description: A dataset containing 868 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "StateProvince is one of (MIchigan, Mich)",
 "TaxonKey is Botrypus virginianus (L.) Michx."
 ]
}

 The dataset includes 868 records from 28 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0021784-250426092105405/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.4ba3x2
title: Occurrence Download

description: A dataset containing 283 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Peru",
 "TaxonKey is Epicrates cenchria (Linnaeus, 1758)"
 ]
}

 The dataset includes 283 records from 25 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0021785-250426092105405/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.21233/2148-2b48
title: Darien pollen surface sample dataset

description: Raw data for the Darien pollen surface sample dataset submitted to the Neotoma Paleoecology Database. Data is available through the landing page in JSON format. The landing page referenced by the DOI also contains links to publications and a map-based viewer for the dataset. The Neotoma Paleoecology Database maintains a homepage at https://www.neotomadb.org.
DOI: 10.21233/v7tz-cz24
title: LDDsite6348 ostracode surface sample dataset

description: Raw data for the LDDsite6348 ostracode surface sample dataset submitted to the Neotoma Paleoecology Database. Data is available through the landing page in JSON format. The landing page referenced by the DOI also contains links to publications and a map-based viewer for the dataset. The Neotoma Paleoecology Database maintains a homepage at https://www.neotomadb.org.
DOI: 10.21233/3a49-f455
title: Rice Lake ostracode surface sample dataset

description: Raw data for the Rice Lake ostracode surface sample dataset submitted to the Neotoma Paleoecology Database. Data is available through the landing page in JSON format. The landing page referenced by the DOI also contains links to publications and a map-based viewer for the dataset. The Neotoma Paleoecology Database maintains a homepage at https://www.neotomadb.org.
DOI: 10.5281/zenodo.15366285
title: Supplementary Table 48

description: NLR counts across all 12 chromosomes and pseudomolecules in the MHR genome using the Resistify pipeline
DOI: 10.5281/zenodo.15366286
title: Supplementary Table 48

description: NLR counts across all 12 chromosomes and pseudomolecules in the MHR genome using the Resistify pipeline
DOI: 10.21233/vc49-d464
title: LDDsite3174 water chemistry dataset

description: Raw data for the LDDsite3174 water chemistry dataset submitted to the Neotoma Paleoecology Database. Data is available through the landing page in JSON format. The landing page referenced by the DOI also contains links to publications and a map-based viewer for the dataset. The Neotoma Paleoecology Database maintains a homepage at https://www.neotomadb.org.
DOI: 10.15468/dl.vpa6q9
title: Occurrence Download

description: A dataset containing 148 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Cremastra appendiculata var. variabilis (Blume) I.D.Lund",
 "Year is greater than or equal to 1980",
 "Year is less than or equal to 2010",
 "HasCoordinate is true"
 ]
}

 The dataset includes 148 records from 23 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0021786-250426092105405/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.21233/k1fa-dv92
title: Upper Pahranagat Lake diatom surface sample dataset

description: Raw data for the Upper Pahranagat Lake diatom surface sample dataset submitted to the Neotoma Paleoecology Database. Data is available through the landing page in JSON format. The landing page referenced by the DOI also contains links to publications and a map-based viewer for the dataset. The Neotoma Paleoecology Database maintains a homepage at https://www.neotomadb.org.
DOI: 10.21233/qj7h-fm13
title: Beaverdale Reservoir diatom surface sample dataset

description: Raw data for the Beaverdale Reservoir diatom surface sample dataset submitted to the Neotoma Paleoecology Database. Data is available through the landing page in JSON format. The landing page referenced by the DOI also contains links to publications and a map-based viewer for the dataset. The Neotoma Paleoecology Database maintains a homepage at https://www.neotomadb.org.
DOI: 10.21233/cvvy-gr09
title: Adams Trail Peatland testate amoebae surface sample dataset

description: Raw data for the Adams Trail Peatland testate amoebae surface sample dataset submitted to the Neotoma Paleoecology Database. Data is available through the landing page in JSON format. The landing page referenced by the DOI also contains links to publications and a map-based viewer for the dataset. The Neotoma Paleoecology Database maintains a homepage at https://www.neotomadb.org.
DOI: 10.5281/zenodo.15211243
title: THÖR-UWB: Collecting Human Motion Data using Ultra-Wideband Localization

description: THÖR-UWB Dataset

The THÖR-UWB dataset is a novel dataset of accurate human motion in a museum-like indoor environment, building on the THÖR dataset protocol. We will provide 2D position estimates from a UWB positioning system, position and head orientation motion capture data, 3D LiDAR and radar scans, and gaze information. In total, THÖR-UWB captures over 130 minutes of human motion data.

This is the first data sample, made available for the 7th Workshop on Long-term Human Motion Prediction at the 2025 IEEE International Conference on Robotics and Automation.

The complete data will be published after data curation and cleaning have been finished.

1. Data format

The sample data consists of two files: 1) a CSV file containing trajectory data, and 2) a Jupyter notebook that can be used to plot the comparison between UWB and motion capture.

1.1. Trajectory file

The trajectory file contains three minutes of motion data of a single person. 

Four trajectories are given:



Tobii glasses worn by the participant, measured by the motion capture system (3D position + quaternion)

Google Pixel Smartphone, measured by the motion capture system (3D position + quaternion)

Google Pixel Smartphone, measured by onboard UWB system (2D position)

Unitree Go2 robot, placed statically in the corner, measured by the motion capture system (3D position + quaternion)


The units of the positions and the order of the quaternions are given in the trajectory files' header.

Missing data is denoted by "N/A". Temporal indexing is facilitated by the "Time" or "Frame" column, indicating timestamps or frame numbers. The motion capture system records at 100Hz, and the UWB data at 5Hz. 

1.2. Plotting notebook

The notebook contains basic visualizations comparing both UWB and motion capture measurements. 

The following Python libraries are required:



pandas

matplotlib

plotly
DOI: 10.5281/zenodo.15211244
title: THÖR-UWB: Collecting Human Motion Data using Ultra-Wideband Localization

description: THÖR-UWB Dataset

The THÖR-UWB dataset is a novel dataset of accurate human motion in a museum-like indoor environment, building on the THÖR dataset protocol. We will provide 2D position estimates from a UWB positioning system, position and head orientation motion capture data, 3D LiDAR and radar scans, and gaze information. In total, THÖR-UWB captures over 130 minutes of human motion data.

This is the first data sample, made available for the 7th Workshop on Long-term Human Motion Prediction at the 2025 IEEE International Conference on Robotics and Automation.

The complete data will be published after data curation and cleaning have been finished.

1. Data format

The sample data consists of two files: 1) a CSV file containing trajectory data, and 2) a Jupyter notebook that can be used to plot the comparison between UWB and motion capture.

1.1. Trajectory file

The trajectory file contains three minutes of motion data of a single person. 

Four trajectories are given:



Tobii glasses worn by the participant, measured by the motion capture system (3D position + quaternion)

Google Pixel Smartphone, measured by the motion capture system (3D position + quaternion)

Google Pixel Smartphone, measured by onboard UWB system (2D position)

Unitree Go2 robot, placed statically in the corner, measured by the motion capture system (3D position + quaternion)


The units of the positions and the order of the quaternions are given in the trajectory files' header.

Missing data is denoted by "N/A". Temporal indexing is facilitated by the "Time" or "Frame" column, indicating timestamps or frame numbers. The motion capture system records at 100Hz, and the UWB data at 5Hz. 

1.2. Plotting notebook

The notebook contains basic visualizations comparing both UWB and motion capture measurements. 

The following Python libraries are required:



pandas

matplotlib

plotly
DOI: 10.15468/dl.28n5q5
title: Occurrence Download

description: A dataset containing 8 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is one of (Human Observation, Observation, Occurrence evidence)",
 "Continent is Europe",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 "TaxonKey is Bison bison (Linnaeus, 1758)",
 "Year 2000-2025"
 ]
}

 The dataset includes 8 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0021787-250426092105405/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17882/101950
title: ISIISNet : plankton images captured with the ISIIS (In-situ Ichthyoplankton Imaging System)

description: Plankton was imaged with an In Situ Ichthyoplankton Imaging System, between surface and ~100m, over 10 days in July 2016, in the North Western Mediterranean Sea. This deployment was the core of the VISUFRONT cruise. The image generated by the linescan, shadowgraph camera of ISIIS were processed with the custom software apeep and regions of interest, targeted to be planktonic organisms by a deep segmenter, were extracted. The 408,166 resulting objects were sorted by a limited number of operators, following a common taxonomic guide, into 32 taxa, using the web application EcoTaxa http://ecotaxa.obs-vlfr.fr. For the purpose of training machine learning classifiers, the images in each class were split into training, validation, and test sets, with proportions 70%, 15% and 15%.
The archive contains :
taxa.csv.gz
Table of the classification of each object in the dataset, with columns :
 - objid: id of the object (in Ecotaxa)
 - taxon_level1: name of the taxon corresponding to the level 1 classification
 - lineage_level1: taxonomic lineage corresponding to the level 1 classification
 - taxon_level2: name of the taxon corresponding to the level 2 classification
 - plankton: indicates if the object is a plankton (boolean)
 - set: class of the image corresponding to the taxon (train : training, val : validation, or test)
 - img_path: local path of the image corresponding to the taxon (of level 1), named according to the object id
features_native.csv.gz
Table of morphological features recomputed with skimage.measure.regionprops on the ROIs produced by software. See http://scikit-image.org/docs/dev/api/skimage.measure.html#skimage.measure.regionprops for documentation.
inventory.tsv
Tree view of the taxonomy and number of images in each taxon, displayed as text. With columns :
 - lineage_level1: taxonomic lineage corresponding to the level 1 classification
 - taxon_level1: name of the taxon corresponding to the level 1 classification
 - n: number of objects in each taxon class 
map.png
Map of the sampling locations, to give an idea of the diversity sampled in this dataset.
imgs
Directory containing images of each object, named according to the object id objid and sorted in subdirectories according to their taxon.
DOI: 10.17882/101961
title: FlowCAMNet : plankton images captured with the FlowCAM

description: Plankton was imaged with Flowcam in contrasted oceanic regions. The full images were processed with the ImageJ software and the regions of interest (ROIs) around each individual object were recorded. A set of associated features were measured on the objects. All objects were classified by a limited number of operators into 167 different classes using the web application EcoTaxa (http://ecotaxa.obs-vlfr.fr). The following dataset corresponds to the 301, 247 objects and their calculated features. The different files provide information about the features of the objects, their taxonomic identification as well as the raw images.
The archive contains :
taxa.csv.gz
Table of the classification of each object in the dataset, with columns :
 - objid: unique object identifier in EcoTaxa (integer number).
 - taxon_level1: taxonomic name corresponding to the level 1 classification
 - lineage_level1: taxonomic lineage corresponding to the level 1 classification
 - taxon_level2: name of the taxon corresponding to the level 2 classification 
 - plankton: indicates if the object is a plankton (boolean)
 - set: class of the image corresponding to the taxon (train : training, val : validation, or test)
 - img_path: local path of the image corresponding to the taxon (of level 1), named according to the object id
features_native.csv.gz
 - objid: unique object identifier in EcoTaxa (integer number) And 47 features:
 - area
 - mean
 - stddev
 - mode
 - min/max
 - perim
 - width
 - height
 - major
 - minor
 - angle
 - circ
 - feret
 - intden
 - median
 - skew
 - kurt
 - %area
 - area_exc
 - fractal
 - skelarea
 - slope
 - histcum1, 2, 3
 - nb1 nb2 nb3
 - symetrieh/symetriev
 - symetriehc/symetrievc
 - convperim/convarea
 - fcons
 - thickr
 - esd
 - elongation
 - range
 - meanpos
 - cv
 - sr
 - perimferet/perimmajor
 - circex
See the “FlowCam_bw_before_2023” sheet - OBJECT metadata, annotation and measurements - , at https://doi.org/10.5281/zenodo.14704250 for definitions.
features_skimage.csv.gz
Table of morphological features recomputed with skimage.measure.regionprops on the ROIs produced by ZooCAM. See http://scikit-image.org/docs/dev/api/skimage.measure.html#skimage.measure.regionprops for documentation.
inventory.tsv
Tree view of the taxonomy and number of images in each taxon, displayed as text. With columns :
 - lineage_level1: taxonomic lineage corresponding to the level 1 classification
 - taxon_level1: name of the taxon corresponding to the level 1 classification
 - n: number of objects in each taxon group
map.png
Map of the sampling locations, to give an idea of the diversity sampled in this dataset.
imgs
Directory containing images of each object, named according to the object id objid and sorted in subdirectories according to their taxon.