cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15468/dl.kkf35h
title: Occurrence Download

description: A dataset containing 594 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Allium prattii C.H.Wright",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 594 records from 20 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0319410-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.t38kgk
title: Occurrence Download

description: A dataset containing 410 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Gentiana leucomelaena Maxim."
 ]
}

 The dataset includes 410 records from 22 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0254535-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.yb9lcq
title: Occurrence Download

description: A dataset containing 16402 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "TaxonKey is Ursus arctos Linnaeus, 1758",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 16402 records from 140 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0010030-180412121330197/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.4guyaj
title: Occurrence Download

description: A dataset containing 14439 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Carica papaya L."
 ]
}

 The dataset includes 14439 records from 371 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0262378-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.euz8pp
title: Occurrence Download

description: A dataset containing 135 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Anaphalis bicolor (Franch.) Diels",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 135 records from 10 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0319421-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.v9vzaa
title: Occurrence Download

description: A dataset containing 50 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is China",
 "TaxonKey is Pantholops hodgsonii (Abel, 1826)"
 ]
}

 The dataset includes 50 records from 15 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0309366-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.nwrmoo
title: Occurrence Download

description: A dataset containing 729 species occurrences available in GBIF matching the query:
{
 "and" : [
 {
 "or" : [
 "TaxonKey is Zygophyllum fabago L.",
 "TaxonKey is Zygophyllum fabago L.",
 "TaxonKey is Zygophyllum fabago L.",
 "TaxonKey is Zygophyllum fabago L.",
 "TaxonKey is Zygophyllum fabago L."
 ]
 },
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 729 records from 61 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0010030-180508205500799/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.2wsytq
title: Occurrence Download

description: A dataset containing 537277 species occurrences available in GBIF matching the query:
{
 "and" : [
 {
 "or" : [
 "Country is Brunei Darussalam",
 "Country is Cambodia",
 "Country is Indonesia",
 "Country is Timor-Leste",
 "Country is Lao People’s Democratic Republic",
 "Country is Malaysia",
 "Country is Myanmar",
 "Country is Philippines",
 "Country is Singapore",
 "Country is Thailand",
 "Country is Viet Nam"
 ]
 },
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Insecta"
 ]
}

 The dataset includes 537277 records from 770 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0279798-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.17484952
title: First set of facial skin images and decision of methods for preprocessing

description: Image Preprocessing Algorithms

The preprocessing pipeline (described in Deliverable D2.1) combines several steps designed to ensure the spatial and temporal consistency of facial sequences before their analysis through the STREAM-Net model. First, the RGB images are resized to a fixed resolution of 144 × 144 px, and face cropping (ROI extraction) is applied to remove background regions and focus the analysis on skin areas relevant to blood flow estimation. Then, a temporal normalization between consecutive frames is performed, computed as the difference divided by the sum of consecutive frames, in order to highlight dynamic color variations associated with blood pulsation and reduce the influence of illumination or skin tone. This processing generates two complementary inputs —a spatial and a temporal one— that feed the dual-branch architecture of STREAM-Net. Additionally, a Bayesian uncertainty estimation mechanism using Monte Carlo Dropout is integrated to assess the model’s robustness to stochastic variations and quantify prediction confidence. Finally, to further improve image quality and facilitate more accurate physiological signal extraction, super-resolution and deblurring techniques based on deep learning (e.g., EDSR, LapSRN, SwinIR, and FaceSR) are applied, enhancing both fine-detail recovery and structural fidelity according to PSNR and SSIM metrics.

PURE Dataset

The PURE (Pulse Rate Detection) dataset provides facial video sequences used for the training and validation of remote pulse estimation algorithms such as those implemented in STREAM-Net. It includes recordings of 10 volunteers (8 male, 2 female) performing six controlled motion conditions —steady, talking, slow translation, fast translation, small rotation, and medium rotation— introducing different levels of motion and illumination variability. Each sequence lasts one minute and was recorded using an eco274CVGE camera (SVS-Vistek GmbH) at 30 fps and 640 × 480 px resolution, while reference pulse signals were simultaneously acquired using a Pulox CMS50E oximeter at 60 Hz. The participants were seated approximately 1.1 m from the camera under natural daylight illumination, with slight variations caused by cloud movement. These recordings capture subtle color changes on the skin surface as well as realistic head movements, providing an ideal dataset for evaluating remote photoplethysmography (rPPG) pipelines and assessing the robustness of preprocessing algorithms against motion artifacts, illumination fluctuations, and facial expressiveness.
DOI: 10.5281/zenodo.17484951
title: First set of facial skin images and decision of methods for preprocessing

description: Image Preprocessing Algorithms

The preprocessing pipeline (described in Deliverable D2.1) combines several steps designed to ensure the spatial and temporal consistency of facial sequences before their analysis through the STREAM-Net model. First, the RGB images are resized to a fixed resolution of 144 × 144 px, and face cropping (ROI extraction) is applied to remove background regions and focus the analysis on skin areas relevant to blood flow estimation. Then, a temporal normalization between consecutive frames is performed, computed as the difference divided by the sum of consecutive frames, in order to highlight dynamic color variations associated with blood pulsation and reduce the influence of illumination or skin tone. This processing generates two complementary inputs —a spatial and a temporal one— that feed the dual-branch architecture of STREAM-Net. Additionally, a Bayesian uncertainty estimation mechanism using Monte Carlo Dropout is integrated to assess the model’s robustness to stochastic variations and quantify prediction confidence. Finally, to further improve image quality and facilitate more accurate physiological signal extraction, super-resolution and deblurring techniques based on deep learning (e.g., EDSR, LapSRN, SwinIR, and FaceSR) are applied, enhancing both fine-detail recovery and structural fidelity according to PSNR and SSIM metrics.

PURE Dataset

The PURE (Pulse Rate Detection) dataset provides facial video sequences used for the training and validation of remote pulse estimation algorithms such as those implemented in STREAM-Net. It includes recordings of 10 volunteers (8 male, 2 female) performing six controlled motion conditions —steady, talking, slow translation, fast translation, small rotation, and medium rotation— introducing different levels of motion and illumination variability. Each sequence lasts one minute and was recorded using an eco274CVGE camera (SVS-Vistek GmbH) at 30 fps and 640 × 480 px resolution, while reference pulse signals were simultaneously acquired using a Pulox CMS50E oximeter at 60 Hz. The participants were seated approximately 1.1 m from the camera under natural daylight illumination, with slight variations caused by cloud movement. These recordings capture subtle color changes on the skin surface as well as realistic head movements, providing an ideal dataset for evaluating remote photoplethysmography (rPPG) pipelines and assessing the robustness of preprocessing algorithms against motion artifacts, illumination fluctuations, and facial expressiveness.
DOI: 10.15468/rnkf5h
title: Observatoire Pelagis sightings from fishery surveys 2004-2009

description: Original provider:
Observatoire PELAGIS UMS 3462 University La Rochelle - CNRS

Dataset credits:
Observatoire PELAGIS UMS 3462, University La Rochelle - CNRS

Abstract:
Regulation (EC) No 812/2004 of 26 April 2004 is intended to assess the incidental catch of cetaceans in fisheries and to reduce bycatch in some fisheries. This regulation requires plans observation on vessels over 15 meters operating in pelagic trawl or large vertical opening in ICES zones VI, VII, VIII and IX, and vessesl over 15 meters operating with set nets in ICES VIa, VI-a,b and VIIIa,b,c and IX.The Ministry of Agriculture and Fisheries (Directorate of Marine Fisheries and Aquaculture - DPMA) is responsible for the implementation of the Regulation for France. An observation program of incidental catches of cetaceans started in 2006 on the French metropolitan coast. The sampling plan provides coverage of 5% of the fishing effort for gillnets over 15 m in area VIII. For pelagic trawlers over 15m, a 5% coverage of the fishing effort has also been planned except for VI, VII and VIII where a coverage of 10% is required from December 1 to March 31.In addition, for vessels under 15m, pilot projects have been implemented by using on board observers. For simple pelagic trawls, a coverage rate of 5% of the fishing effort has been applied. For netters, a 1% coverage of the fishing effort has been targeted.
This dataset gathered sightings made during these surveys together, but DOES NOT INCLUDE ANY BYCATCH DATA.
DOI: 10.15468/zmsmqq
title: Northern Elephant Seals Post-Molting 2016 (aggregated per 1-degree cell)

description: Original provider:
Dan Costa

Dataset credits:
Data provider: Costa Lab Mammals; Originating data center: Satellite Tracking and Analysis Tool (STAT); Project sponsor or sponsor description: Dan Costa

Abstract:
N/A
 This dataset is a summarized representation of the telemetry locations aggregated per species per 1-degree cell.
DOI: 10.15468/s5cm43
title: Global Register of Introduced and Invasive Species - Sint Eustatius, Bonaire, Sint Eustatius and Saba

description: The Global Register of Introduced and Invasive Species (GRIIS) presents validated and verified checklists of introduced (alien) and invasive alien species at the country level. Phase 1 of the project has focused on developing validated and verified checklists of countries that are Party to the Convention on Biological Diversity. Phase 2 will include countries that are not parties to the CBD and the European Overseas territories. This annotated checklist is of introduced (alien) and invasive alien species known to occur in Sint Eustatius, a municipality of the Netherlands in the Caribbean region.
DOI: 10.15468/tbrkpr
title: IMMS Ridley 8 (aggregated per 1-degree cell)

description: Original provider:
Institute for Marine Mammal Studies

Dataset credits:
Data provider
Institute for Marine Mammal Studies
Originating data center
&lt;a href='http://www.seaturtle.org/tracking/' target='_blank'&gt;Satellite Tracking and Analysis Tool (STAT)&lt;/a&gt;

Abstract:
Turtles are an important component of the ecosystem, and may serve as a key biological indicator of the health of their environments. They are constantly impacted by a variety of both natural and anthropogenic factors.&lt;br&gt;Satellite telemetry is a powerful tool for examining short- and long-term movements of these protected species and enhancing conservation and management efforts. These observations will allow us to examine how much time these turtles actually spend in the Mississippi Sound and what microhabitats they utilize. The use of satellite tags on recently rehabilitated and released sea turtles will increase our knowledge about the daily activities and habitat fidelity of these animals.
 This dataset is a summarized representation of the telemetry locations aggregated per species per 1-degree cell.
DOI: 10.15468/4mols6
title: Global Register of Introduced and Invasive Species - Bonaire, Bonaire, Sint Eustatius and Saba

description: The Global Register of Introduced and Invasive Species (GRIIS) presents validated and verified checklists of introduced (alien) and invasive alien species at the country level. Phase 1 of the project has focused on developing validated and verified checklists of countries that are Party to the Convention on Biological Diversity. Phase 2 of the project will include all countries that are not party to the CBD and European Overseas Territories. This annotated checklist is of introduced (alien) and invasive alien species known to occur in Bonaire, a municipality of the Netherlands in the Caribbean region
DOI: 10.15468/jydbwn
title: NWTRC JP04 Aerial Surveys 2014-2015

description: Original provider:
HDR Environmental, Operations and Construction, Inc.

Dataset credits:
The U.S. Navy Marine Species Monitoring Program

Abstract:
Features in this feature class represent animal sightings that occurred during four aerial surveys for marine mammals performed in July 2014, September 2014, January 2015 and April 2015 in the Puget Sound, WA. Surveys followed line-transect protocol and were designed to collect data for estimation of abundance and density of marine mammals. Survey dates were 21 to 27 July 2014, 14 to 21 September 2014, 5 to 12 January 2015 and 15 to 22 April 2015. Work was performed under HDR task order JP04 (IDIQ contract award N62470-10-D-3011, NAVFAC LANT).
DOI: 10.15468/zl9eoz
title: Global Register of Introduced and Invasive Species - Aruba

description: The Global Register of Introduced and Invasive Species (GRIIS) presents validated and verified checklists of introduced (alien) and invasive alien species at the country level. Phase 1 of the project has focused on developing validated and verified checklists of countries that are Party to the Convention on Biological Diversity. Phase 2 will include countries that are not parties to the CBD and the European Overseas territories. This annotated checklist is of introduced (alien) and invasive alien species known to occur in Aruba
DOI: 10.15468/7z4bg9
title: Observatoire Pelagis boat surveys 2003-2021

description: Original provider:
Observatoire PELAGIS UAR 3462 University La Rochelle - CNRS

Dataset credits:
Observatoire PELAGIS UAR 3462, University La Rochelle - CNRS

Abstract:
Since 2003, the Observatoire PELAGIS (La Rochelle University) participated to annual halieutic surveys, led by the IFREMER, to collect data on the distribution of marine top predators in order to estimate their relative abundance and preferred habitats in the Bay of Biscay, the Channel and the North Sea. 
Each year, three observers take place on board the vessel “Thalassa” to record sightings of seabirds, marine mammals, large fish and fishing boats, from dawn to dusk. Following distance sampling methods, visual censuses are made by two observers (while the third observer is resting) from the upper platform of the boat (min. 14m above the sea level). They are placed on each side of the deck, looking ahead for marine predator with an angle of 180°. For each sighting, the species and the number of individuals are recorded, as well as the behaviour, distance and angle (upon request).
DOI: 10.15468/t45otk
title: Global Register of Introduced and Invasive Species - Sint Maarten, Netherlands

description: The Global Register of Introduced and Invasive Species (GRIIS) presents validated and verified checklists of introduced (alien) and invasive alien species at the country level. Phase 1 of the project has focused on developing validated and verified checklists of countries that are Party to the Convention on Biological Diversity. Phase 2 will include countries that are not parties to the CBD and the European Overseas territories. This annotated checklist is of introduced (alien) and invasive alien species known to occur in Sint Maarten, an autonomous region of the Netherlands in the Caribbean region.
DOI: 10.15468/uzs4d6
title: Observatoire Pelagis - Reseau National Echouage (French stranding network) strandings 1934-2020

description: Original provider:
Observatoire PELAGIS - Reseau National Echouage (French stranding network) - UAR 3462 University La Rochelle - CNRS

Dataset credits:
Observatoire PELAGIS UAR 3462, University La Rochelle - CNRS- Agence des Aires Marines Protégées - Direction de l'Eau et de la Biodiversité

Abstract:
The French stranding network is co-ordinated by the Joint Service Unit PELAGIS, UAR 3462, University of La Rochelle-CNRS, dedicated to monitoring marine mammal and seabird populations, as a continuous monitoring programme. The network is constituted of around 300 trained volunteers distributed along the whole French coast who collect data according to a standardized observation and dissection protocol. The network was established in the early 1970’s and its organisation and procedures are considered unchanged since the mid 1980’s. Data are centralized into a single database held in La Rochelle.
DOI: 10.15468/7td588
title: SOCAL FZN4 Marine Mammal Aerial Monitoring 2013

description: Original provider:
HDR Environmental, Operations and Construction, Inc.

Dataset credits:
The U.S. Navy Marine Species Monitoring Program

Abstract:
Records in 2013 represent animal sightings that occurred during two aerial surveys for marine mammals performed March-July 2013 in the SOCAL Range Complex. Survey dates are 25-30 March 2013, 22-26 May 2013, and 24-29 July 2013. Work was performed under HDR task order FZN4 (IDIQ contract award N62470-10-D-3011, NAVFAC LANT).
DOI: 10.15468/afntwr
title: SOCAL KB04, FZN1, FZN2 Marine Mammal Aerial Monitoring 2011-2012

description: Original provider:
HDR Environmental, Operations and Construction, Inc.

Dataset credits:
The U.S. Navy Marine Species Monitoring Program

Abstract:
Features in this feature class represent animal sightings that occurred during aerial monitoring surveys for marine mammals performed from 2011-2012 in the SOCAL Range Complex. Survey dates are 14-18 February 2011; 30-31 March and 01 April 2011; 12-20 April 2011; 09-14 May 2011; 30-31 January and 01-05 February 2012; 13-15 March 2012; and 28-30 May and 01 April 2012. Work was performed under HDR task orders FZN1, FZN2, and KB04 (IDIQ contract award N62470-10-D-3011, NAVFAC LANT).
DOI: 10.15468/qt9tw4
title: Barrow Island Flatback Turtle Tracking 2013-2014 (aggregated per 1-degree cell)

description: Original provider:
Gorgon/Penv

Dataset credits:
Data provider
West Australian Sea Turtle Satellite Tracking Project
Originating data center
&lt;a href='http://www.seaturtle.org/tracking/' target='_blank'&gt;Satellite Tracking and Analysis Tool (STAT)&lt;/a&gt;
Project partner
Pendoley Environmental Pty Ltd deployed the first satellite transmitter on a marine turtle in WA in 2000 and has managed the flatback satellite telemetry programs at Barrow Island and Mundabullangana, on behalf of the Gorgon project, for the past 10 years.

Abstract:
This project is sponsored by Chevron Australia Gorgon LNG project currently under construction on Barrow Island. The program monitors the behaviour of flatback turtles that nest at Barrow Island during internesting.
 This dataset is a summarized representation of the telemetry locations aggregated per species per 1-degree cell.
DOI: 10.15468/vgfzvy
title: Cemetery Beach Port Hedland Flatback Tracking Project 2011-2012 (aggregated per 1-degree cell)

description: Original provider:
Pendoley Environmental

Dataset credits:
Data provider
West Australian Sea Turtle Satellite Tracking Project
Originating data center
&lt;a href='http://www.seaturtle.org/tracking/' target='_blank'&gt;Satellite Tracking and Analysis Tool (STAT)&lt;/a&gt;
Project partner
BHP Billiton
 This dataset is a summarized representation of the telemetry locations aggregated per species per 1-degree cell.
DOI: 10.15468/r6x7y8
title: Barrow Island flatback tracking 2009-2010 (aggregated per 1-degree cell)

description: Original provider:
PENV

Dataset credits:
Data provider
West Australian Sea Turtle Satellite Tracking Project
Originating data center
&lt;a href='http://www.seaturtle.org/tracking/' target='_blank'&gt;Satellite Tracking and Analysis Tool (STAT)&lt;/a&gt;
Project partner
Chevron Australia, Gorgon project&lt;br&gt;Pendoley Environmental Pty Ltd
Project sponsor or sponsor description
Chevron Gorgon Project

Abstract:
Flatback turtles are being tracked from Barrow Island as part of the environmental investigations underpinning Chevron's Gorgon LNG project based on the island. The first flatback turtles to be satellite tracked in Western Australia were released from Barrow Island in 2005 and since that time flatback turtles have been tracked annually from Barrow and from Mundabullangana Station on the mainland. &lt;br&gt;&lt;br&gt;All proceeds from the adoption program for these animals are being donated to seaturtle.org
 This dataset is a summarized representation of the telemetry locations aggregated per species per 1-degree cell.
DOI: 10.15468/g5ywhe
title: Cabo Verde (aggregated per 1-degree cell)

description: Original provider:
Life Caretta caretta (Cabo Verde)

Dataset credits:
Data provider
LIFE Caretta caretta
Originating data center
&lt;a href='http://www.seaturtle.org/tracking/' target='_blank'&gt;Satellite Tracking and Analysis Tool (STAT)&lt;/a&gt;
 This dataset is a summarized representation of the telemetry locations aggregated per species per 1-degree cell.