cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.82144/d90546b1
title: Gabon 2005-07: Mayumba, Leatherback Turtles (aggregated per 1-degree cell)

description: Original provider:
Marine Turtle Research Group / SEATURTLE.ORG

Dataset credits:
Data provider
Marine Turtle Research Group
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
In conjunction with Parc National de Mayumba, the &lt;a href= http://www.wcs.org/international/Africa/gabon/mayumba &gt;Wildlife Conservation Society&lt;/a&gt;, Aventures Sans Frontieres and Seaturtle.org, researchers from the &lt;a href=http://www.uec.ac.uk&gt;University of Exeter&lt;/a&gt; have attached satellite transmitters to female leatherback turtles nesting at Mayumba National Park, Gabon.
Project sponsor or sponsor description
The first season of this project (2005/2006) was part funded by the European Association of Zoos and Aquaria (EAZA) Shellshock Campaign &lt;a href=http://www.eaza.net&gt;European Association of Zoos & Aquaria&lt;/a&gt;. Satellite transmitters attached in the 2006/2007 nesting season have been funded by the Large Pelagics Research Centre (University of New Hampshire) through National Oceanographic and Atmospheric Agency award NA04NMF4550391. This project was also made possible by funding receieved from the &lt;a href=http://www.nerc.ac.uk&gt;Natural Environment Research Council, UK &lt;/a&gt;.

Abstract:
Project Leatherback Ocean Wanderer uses satellite telemetry to gain insights into the behaviour of female leatherback turtles (Dermochelys coriacea) nesting at &lt;a href=http://www.mayumbanationalpark.com&gt;Mayumba National Park&lt;/a&gt; in Gabon, a globally important rookery. The project has now entered into its second year of tracking. See the &lt;a href=http://www.seaturtle.org/cgi-bin/imagelib/index.pl?cat=612&thumb=1&gt; photo library&lt;/a&gt; for this project.&lt;br&gt;&lt;br&gt;This work compliments that being carried out by &lt;a href=http://www.panda.org/about_wwf/where_we_work/latin_america_and_caribbean/our_solutions/marine_turtle_programme/projects/leatherback_tracking_project/tracking_logs/index.cfm&gt; WWF&lt;/a&gt; studying adults from a range of locations throughout the Atlantic as part of a basin wide project.&lt;br&gt;
 This dataset is a summarized representation of the telemetry locations aggregated per species per 1-degree cell.
DOI: 10.82144/0b0ef3ad
title: Gabon 2007-08: Mayumba, Leatherback Turtles (aggregated per 1-degree cell)

description: Original provider:
Seaturtle.org / MTRG

Dataset credits:
Data provider
Marine Turtle Research Group
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
In conjunction with Parc National de Mayumba, the &lt;a href= http://www.wcs.org/international/Africa/gabon/mayumba &gt;Wildlife Conservation Society&lt;/a&gt;, Aventures Sans Frontieres and Seaturtle.org, researchers from the &lt;a href=http://www.uec.ac.uk&gt;University of Exeter&lt;/a&gt; have attached satellite transmitters to female leatherback turtles nesting at &lt;a href=http://mayumbanationalpark.com/welcome.htm&gt;Mayumba National Park, Gabon &lt;/a&gt;.
Project sponsor or sponsor description
The first season of this project (2005/2006) was part funded by the European Association of Zoos and Aquaria (EAZA) Shellshock Campaign &lt;a href=http://www.eaza.net&gt;European Association of Zoos & Aquaria&lt;/a&gt;. Satellite transmitters attached in the 2007 and 2008 nesting seasons have been funded by the Large Pelagics Research Centre (University of New Hampshire) through National Oceanographic and Atmospheric Agency award NA04NMF4550391. Earlier phases of this project were made possible by funding receieved from the &lt;a href=http://www.nerc.ac.uk&gt;Natural Environment Research Council, UK &lt;/a&gt;.

Abstract:
This project uses satellite telemetry to gain insights into the behaviour of female leatherback turtles (Dermochelys coriacea) nesting at &lt;a href=http://www.mayumbanationalpark.com&gt;Mayumba National Park&lt;/a&gt; in Gabon, a globally important rookery. The project has now entered into its third year of tracking. See the &lt;a href=http://www.seaturtle.org/cgi-bin/imagelib/index.pl?cat=612&thumb=1&gt; photo library&lt;/a&gt; for this project.&lt;br&gt;&lt;br&gt;This work compliments that carried out by &lt;a href=http://www.panda.org/about_wwf/where_we_work/latin_america_and_caribbean/our_solutions/marine_turtle_programme/projects/leatherback_tracking_project/tracking_logs/index.cfm&gt; WWF&lt;/a&gt;, which studied adults from a range of locations throughout the Atlantic as part of a basin wide project.&lt;br&gt;&lt;br&gt;
 This dataset is a summarized representation of the telemetry locations aggregated per species per 1-degree cell.
DOI: 10.82144/b16eb1db
title: Gabon 2008-09: Mayumba & Pongara, Leatherback Turtles (aggregated per 1-degree cell)

description: Original provider:
MTRG / Seaturtle.org

Dataset credits:
Data provider: Marine Turtle Research Group; Originating data center: Satellite Tracking and Analysis Tool (STAT); Project sponsor or sponsor description: The first season of this project (2005/2006) was part funded by the European Association of Zoos and Aquaria (EAZA) Shellshock Campaign &lt;a href=http://www.eaza.net&gt;European Association of Zoos & Aquaria&lt;/a&gt;. Satellite transmitters attached in the 2007 and 2008 nesting seasons have been funded by the Large Pelagics Research Centre (University of New Hampshire) through National Oceanographic and Atmospheric Agency award NA04NMF4550391. Earlier phases of this project were made possible by funding receieved from the &lt;a href=http://www.nerc.ac.uk&gt;Natural Environment Research Council, UK &lt;/a&gt;. Work of the Gabon Turtle Partnership is supported by funding from the Marine Turtle Conservation Fund, through the US Fish & Wildlife Service

Abstract:
This seasons fieldwork (2008-09) has focused on gathering information on leatherback turtle internesting and postnesting movements from two sites in Gabon. Six transmitters were attached to leatherback turtles nesting in Pongara National Park in December 2008. This park is very close to Libreville, the Capital of Gabon, and receives many visitors during the weekends and holidays periods. A further 4 satellite transmitters were deployed in February 2009 in Mayumba National Park.&lt;br&gt;&lt;br&gt;The turtles and their transmitters are performing excellently this season.
 This dataset is a summarized representation of the telemetry locations aggregated per species per 1-degree cell.
DOI: 10.82144/c8568add
title: Marine bird density and distribution on Canada's Pacific coast, 2005-2008

description: Original provider:
Caroline Fox, Dalhousie University and Raincoast Conservation Foundation

Dataset credits:
Caroline Fox, Dalhousie University and Raincoast Conservation Foundation

Abstract:
Associated publication abstract: Increasingly disrupted and altered, the world’s oceans are subject to immense and intensifying anthropogenic pressures. Of the biota inhabiting these ecosystems, marine birds are among the most threatened. For conservation efforts targeting marine birds to be effective, quantitative information relating to their at-sea density and distribution is typically a crucial knowledge component. In this study, we generated predictive machine learning ensemble models for 13 marine bird species and 7 groups (representing 24 additional species) in Canada’s Pacific coast waters, including several species listed under Canada’s Species at Risk Act. Predictive models were based on systematic marine bird line transect survey information collected in spring, summer, and fall on Canada’s Pacific coast (2005−2008). Multiple Covariate Distance Sampling (MCDS) was used to estimate marine bird density along transect segments. Spatial and temporal environmental predictors, including remote sensing information, were used in model ensembles, which were constructed using 4 machine learning algorithms in Salford Systems Predictive Modeler v7.0 (SPM7): Random Forests, TreeNet, Multivariate Adaptive Regression Splines, and Classification and Regression Trees. Predictive models were subsequently combined to generate seasonal and overall predictions of areas important to marine birds based on normalized marine bird species or group richness and densities. Our results employ open access data sharing and are intended to better inform marine bird conservation efforts and management planning on Canada’s Pacific coast and for broader-scale geographic initiatives across North America and elsewhere.
DOI: 10.15468/dl.b63b8z
title: Occurrence Download

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

 The dataset includes 1 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0060146-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.82144/a563f231
title: Atlantic grey seal breeding colonies in Hay and Saddle Islands, Nova Scotia

description: Original provider:
Duke Marine Robotics and Remote Sensing Lab

Dataset credits:
Duke Marine Robotics and Remote Sensing Lab

Abstract:
These RGB mosaics and thermal indices of Atlantic grey seal colonies at Hay and Saddle Island, Nova Scotia, were collected by small unmanned aircraft systems (UAS). The mosaics and thermal indices were assessed by human analysts, who counted the seals in the mosaic and classified individuals as 'young of the year' or 'adult'. Concurrently, an automated detection and classification model was applied to the datasets and compared to human counts.
DOI: 10.82144/73046583
title: Ghana Olive Ridley Project (aggregated per 1-degree cell)

description: Original provider:
SEATURTLE.ORG

Dataset credits:
Data provider
SEATURTLE.ORG Animal Tracking Program
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
This project is a partnership between SEATURTLE.ORG, Florida Gulf Coast University, the Hlamhi Association for Turtle Conservation and Hope (HATCH), the University of Ghana and the Ghana Wildlife Division, Forestry Commission.
Project sponsor or sponsor description
This project is sponsored in part by the Disney Worldwide Conservations Fund, SEATURTLE.ORG and the Hlamhi Association for Turtle Conservation and Hope (HATCH).

Abstract:
Historical records indicate that green, olive ridley, hawksbill, and loggerhead sea turtles once utilized Ghana’s coastal waters as foraging grounds. Records also indicate leatherback, green, olive ridley, hawksbill, and loggerhead also utilized Ghana’s shore as nesting habitat. There has not been a confirmed loggerhead or hawksbill nest in Ghana for 25 years indicating these two species have most likely been extirpated from the region. Currently, the leatherback, olive ridley, and green sea turtles are the only remaining species nesting in Ghana. Sea turtles in this region are exposed to a maze of fishing vessels and nets that must be carefully avoided to reach the nesting beach. Each year large sea turtle stranding events are documented during time periods of off-shore and near-shore fishing. Illegal commercial fishing activity occurs regularly in shallow off-shore waters, whereas commercial and subsidence fishing take place near-shore and off the beach. Understanding the temporal and spatial movement patterns of olive ridleys would provide information on the interaction of sea turtles and fisheries in Ghana's waters.&lt;br&gt;&lt;br&gt;With funding from the Disney Worldwide Conservation Fund, we are gathering knowledge and creating educational programs necessary to implementing a conservation program that is socially and economically self-sustaining over the long term. The proposed research will answer key questions about the ecology of olive ridley sea turtles that will allow limited existing resources to be used most effectively into the future, and will incorporate educational programs to reverse the social perception of sea turtles so that their preservation is part of the cultural norm.
 This dataset is a summarized representation of the telemetry locations aggregated per species per 1-degree cell.
DOI: 10.15468/dl.suwsms
title: Occurrence Download

description: A dataset containing 10190 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Columbiformes)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Year is greater than or equal to 1980",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 },
 "Geometry POLYGON((-120 -30,-90 -30,-90 0,-120 0,-120 -30))"
 ]
}

 The dataset includes 10190 records from 7 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0060147-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.82144/38787b01
title: SOCAL Marine Mammal Aerial Monitoring 2010

description: Original provider:
Smultea Environmental Sciences, LLC

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

Abstract:
Features in this feature class represent the 2010 records from all animal sightings that occurred during aerial monitoring surveys for marine mammals performed from 2010-2012 in the SOCAL Range Complex.
DOI: 10.6084/m9.figshare.30302550
title: Additional file 1 of The two sub-genomes of the allotetraploid frog Xenopus laevis are evolving under similar selective pressure in extant populations

description: Supplementary Material 1. Table S1. List of samples used in this study. Table S2. Composition of the samples used in the pooled data analysis. Table S3. Values of Tajima’s D for X. laevis populations in South Africa. Table S4. List of genes in close proximity (&lt;10Kb) to highly differentiated SNPs (Fst&gt;0.15) between the high and low altitude pools. Table S5. List of the 47 identified genes in close proximity (&lt;10Kb) to highly differentiated SNPs (Fst&gt;0.2) between the high and low altitude pools. Figure S1. Whole genome re-sequencing quality control of the un-filtered data. Figure S2. Flow chart describing the comparison of nucleotide diversity between exons linked to the L and S sub-genomes. Figure S3. Pooled data sampling location in South Africa. Figure S4. Number of populations (K) inferred using the software STRUCTURE. Figure S5. Relatedness and heterozygosity among populations. Figure S6. Differentiation (Fst) of the L and S sub-genomes between the four populations. Figure S7. Genomic divergence (dxy) of the L and S sub-genomes between the four populations. Figure S8. Nucleotide diversity of the L and S sub-genomes for each of the four populations. Figure S9. Histograms of multiple testing results for nucleotide diversity differences between pairs of populations. Figure S10. Population structure of X. laevis in South Africa for the L and S sub-genomes. Figure S11. Multiple testing of nucleotide diversity differences between the L and S sub-genomes for A) the first exons of genes, B) the last exons, and C) single exon genes. Figure S12. Chromosomal distribution of genes linked (&lt;10Kb) with highly differentiated SNPs (Fst&gt;0.15) between the high and low contrasts within the northern South Africa population. Figure S13. Differences in the Snout to Ventral Length (SVL; cm) and mass (g) between samples collected from arid sites (Great Karoo population) and samples collected from coastal sites (South coastal population).
DOI: 10.6084/m9.figshare.30302550.v1
title: Additional file 1 of The two sub-genomes of the allotetraploid frog Xenopus laevis are evolving under similar selective pressure in extant populations

description: Supplementary Material 1. Table S1. List of samples used in this study. Table S2. Composition of the samples used in the pooled data analysis. Table S3. Values of Tajima’s D for X. laevis populations in South Africa. Table S4. List of genes in close proximity (&lt;10Kb) to highly differentiated SNPs (Fst&gt;0.15) between the high and low altitude pools. Table S5. List of the 47 identified genes in close proximity (&lt;10Kb) to highly differentiated SNPs (Fst&gt;0.2) between the high and low altitude pools. Figure S1. Whole genome re-sequencing quality control of the un-filtered data. Figure S2. Flow chart describing the comparison of nucleotide diversity between exons linked to the L and S sub-genomes. Figure S3. Pooled data sampling location in South Africa. Figure S4. Number of populations (K) inferred using the software STRUCTURE. Figure S5. Relatedness and heterozygosity among populations. Figure S6. Differentiation (Fst) of the L and S sub-genomes between the four populations. Figure S7. Genomic divergence (dxy) of the L and S sub-genomes between the four populations. Figure S8. Nucleotide diversity of the L and S sub-genomes for each of the four populations. Figure S9. Histograms of multiple testing results for nucleotide diversity differences between pairs of populations. Figure S10. Population structure of X. laevis in South Africa for the L and S sub-genomes. Figure S11. Multiple testing of nucleotide diversity differences between the L and S sub-genomes for A) the first exons of genes, B) the last exons, and C) single exon genes. Figure S12. Chromosomal distribution of genes linked (&lt;10Kb) with highly differentiated SNPs (Fst&gt;0.15) between the high and low contrasts within the northern South Africa population. Figure S13. Differences in the Snout to Ventral Length (SVL; cm) and mass (g) between samples collected from arid sites (Great Karoo population) and samples collected from coastal sites (South coastal population).
DOI: 10.6084/m9.figshare.30302548
title: Additional file 1 of Integrated transcriptomic and metabolomic analysis identifies host response mechanisms to oncogenic Marek’s disease virus in Wenchang chickens

description: Additional file 1. Sequences of Primers used for qPCR validation.
DOI: 10.6084/m9.figshare.30302548.v1
title: Additional file 1 of Integrated transcriptomic and metabolomic analysis identifies host response mechanisms to oncogenic Marek’s disease virus in Wenchang chickens

description: Additional file 1. Sequences of Primers used for qPCR validation.
DOI: 10.6084/m9.figshare.30302551
title: Additional file 2 of Integrated transcriptomic and metabolomic analysis identifies host response mechanisms to oncogenic Marek’s disease virus in Wenchang chickens

description: Additional file 2. Identification of Marek’s disease virus infection.
DOI: 10.6084/m9.figshare.30302551.v1
title: Additional file 2 of Integrated transcriptomic and metabolomic analysis identifies host response mechanisms to oncogenic Marek’s disease virus in Wenchang chickens

description: Additional file 2. Identification of Marek’s disease virus infection.
DOI: 10.6084/m9.figshare.30302557
title: Additional file 4 of Integrated transcriptomic and metabolomic analysis identifies host response mechanisms to oncogenic Marek’s disease virus in Wenchang chickens

description: Additional file 4. KEGG analysis of DEGs.
DOI: 10.6084/m9.figshare.30302557.v1
title: Additional file 4 of Integrated transcriptomic and metabolomic analysis identifies host response mechanisms to oncogenic Marek’s disease virus in Wenchang chickens

description: Additional file 4. KEGG analysis of DEGs.
DOI: 10.6084/m9.figshare.30302560
title: Additional file 5 of Integrated transcriptomic and metabolomic analysis identifies host response mechanisms to oncogenic Marek’s disease virus in Wenchang chickens

description: Additional file 5. KEGG analysis of DEGs.
DOI: 10.6084/m9.figshare.30302560.v1
title: Additional file 5 of Integrated transcriptomic and metabolomic analysis identifies host response mechanisms to oncogenic Marek’s disease virus in Wenchang chickens

description: Additional file 5. KEGG analysis of DEGs.
DOI: 10.6084/m9.figshare.30302563
title: Additional file 6 of Integrated transcriptomic and metabolomic analysis identifies host response mechanisms to oncogenic Marek’s disease virus in Wenchang chickens

description: Additional file 6. KEGG pathways associated with DEMs.
DOI: 10.6084/m9.figshare.30302563.v1
title: Additional file 6 of Integrated transcriptomic and metabolomic analysis identifies host response mechanisms to oncogenic Marek’s disease virus in Wenchang chickens

description: Additional file 6. KEGG pathways associated with DEMs.
DOI: 10.6084/m9.figshare.30302566.v1
title: Additional file 7 of Integrated transcriptomic and metabolomic analysis identifies host response mechanisms to oncogenic Marek’s disease virus in Wenchang chickens

description: Additional file 7. Top 50 DEMs and DEG correlations.
DOI: 10.6084/m9.figshare.30302566
title: Additional file 7 of Integrated transcriptomic and metabolomic analysis identifies host response mechanisms to oncogenic Marek’s disease virus in Wenchang chickens

description: Additional file 7. Top 50 DEMs and DEG correlations.
DOI: 10.6084/m9.figshare.30302569
title: Additional file 8 of Integrated transcriptomic and metabolomic analysis identifies host response mechanisms to oncogenic Marek’s disease virus in Wenchang chickens

description: Additional file 8. Top 10 corresponding relationships of DEMs and DEGs.
DOI: 10.6084/m9.figshare.30302569.v1
title: Additional file 8 of Integrated transcriptomic and metabolomic analysis identifies host response mechanisms to oncogenic Marek’s disease virus in Wenchang chickens

description: Additional file 8. Top 10 corresponding relationships of DEMs and DEGs.
DOI: 10.6084/m9.figshare.30302572
title: Additional file 9 of Integrated transcriptomic and metabolomic analysis identifies host response mechanisms to oncogenic Marek’s disease virus in Wenchang chickens

description: Additional file 9. IRGs.
DOI: 10.6084/m9.figshare.30302572.v1
title: Additional file 9 of Integrated transcriptomic and metabolomic analysis identifies host response mechanisms to oncogenic Marek’s disease virus in Wenchang chickens

description: Additional file 9. IRGs.
DOI: 10.6084/m9.figshare.30302575
title: Additional file 10 of Integrated transcriptomic and metabolomic analysis identifies host response mechanisms to oncogenic Marek’s disease virus in Wenchang chickens

description: Additional file 10. DEGs within the QTLR for MD resistance.
DOI: 10.6084/m9.figshare.30302575.v1
title: Additional file 10 of Integrated transcriptomic and metabolomic analysis identifies host response mechanisms to oncogenic Marek’s disease virus in Wenchang chickens

description: Additional file 10. DEGs within the QTLR for MD resistance.
DOI: 10.82144/1b4c297c
title: UNCW Norfolk Canyon Aerial Survey - Left side - 2016

description: Original provider:
University of North Carolina, Wilmington

Dataset credits:
William A. McLellan, University of North Carolina Wilmington
DOI: 10.6084/m9.figshare.30302584
title: Additional file 1 of The protective effect of breastfeeding on infant inflammation: a mediation analysis of the plasma lipidome and metabolome

description: Additional file 1: Tables S1–S45. Figures S1 and S2. Figure S1. Flowchart of Barwon Infant Study participants included in this study at the 6-month and 12-month timepoints. Figure S2. Comparison of proportion mediation by metabolomic biomarkers/lipids vs proportion mediation by GlycA.
DOI: 10.6084/m9.figshare.30302584.v1
title: Additional file 1 of The protective effect of breastfeeding on infant inflammation: a mediation analysis of the plasma lipidome and metabolome

description: Additional file 1: Tables S1–S45. Figures S1 and S2. Figure S1. Flowchart of Barwon Infant Study participants included in this study at the 6-month and 12-month timepoints. Figure S2. Comparison of proportion mediation by metabolomic biomarkers/lipids vs proportion mediation by GlycA.