cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15468/dl.4nktuw
title: Occurrence Download

description: A dataset containing 816990 species occurrences available in GBIF matching the query:
{
 "and" : [
 {
 "or" : [
 "BasisOfRecord is Observation",
 "BasisOfRecord is Machine Observation",
 "BasisOfRecord is Human Observation",
 "BasisOfRecord is Material sample",
 "BasisOfRecord is Specimen",
 "BasisOfRecord is Living Specimen",
 "BasisOfRecord is Unknown evidence"
 ]
 },
 "Country is United States of America",
 {
 "or" : [
 "Issue is Coordinate rounded",
 "Issue is Geodetic datum invalid",
 "Issue is Geodetic datum assumed WGS84",
 "Issue is Coordinate reprojected",
 "Issue is Country derived from coordinates",
 "Issue is Recorded date mismatch",
 "Issue is Recorded date invalid",
 "Issue is Elevation min max swapped",
 "Issue is Identified date unlikely",
 "Issue is Depth min max swapped",
 "Issue is Taxon match higher rank",
 "Issue is Taxon match fuzzy"
 ]
 },
 "Geometry POLYGON((-6.96093 86.51953,-145.61719 83.98828,-167.83594 73.01952,-172.89843 46.01953,-164.46093 8.05078,-141.67969 -9.10547,-92.46094 2.14453,-81.75586 5.87988,-81.54492 11.29394,-64.17773 15.86426,-61.7168 23.87988,-43.27734 25.40039,-34.41796 30.88477,-45.38672 37.07226,-35.36718 49.39453,-6.96093 86.51953))",
 "TaxonKey is Amphibia"
 ]
}

 The dataset includes 816990 records from 97 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0082478-200221144449610/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25549/pcra-c14-19293
title: Minute book no. 16, AoG GB, OMC, June 1951 - July 1954

description: [description english/roman)] Assemblies of God [AoG] OMC minute book No. 16 including OMC annual statement, 58 pages of index followed by 202 pages of minutes. All matters relating to AOG OMC council member appointments, decisions, policy and missionary personnel issues.
DOI: 10.15468/dl.ncdktn
title: Occurrence Download

description: A dataset containing 434 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Specimen",
 "Country is Mexico",
 "TaxonKey is Lithobates tarahumarae (Boulenger, 1917)"
 ]
}

 The dataset includes 434 records from 29 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0012999-230224095556074/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25549/pcra-c14-243944
title: The whole truth [magazine], 2002 January

description: [description english/roman)] The whole truth [magazine], 2002 January, "Leadership conference edition", "Winter edition preview", "Leadership edition". The official magazine of the Church of God in Christ. Quarterly.
DOI: 10.15468/dl.4xx7x8
title: Occurrence Download

description: A dataset containing 6520 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Year 1970-2000",
 "HasCoordinate is true",
 "TaxonKey is Magnoliaceae",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 6520 records from 259 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0082489-200221144449610/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.13889209
title: Organic food consumption behavior in Lithuania

description: The project was designed to comprehensively evaluate organic food consumption behavior in Lithuania by developing theoretical, conceptual frameworks, and methodological approaches. The project successfully achieved all of its objectives. First, it delivered the necessary frameworks for evaluating organic food consumption behavior. Second, it identified vital factors influencing organic food consumption and pinpointed the main barriers consumers face in Lithuania. Third, the project explored the role of environmental self-identity as a moderator in the relationship between consumption values and the intention to purchase organic food. Fourth, a multi-group analysis (MGA) was applied to deepen the structural equation model analysis, specifically investigating how purchase intentions toward organic food varied across different demographic groups, such as age, gender, education, and income. Fifth, the project provided a detailed assessment of organic marketing in Lithuania, offering targeted recommendations to marketers and policymakers on enhancing organic food consumption through individualized marketing initiatives to support environmental protection.

This project has received funding from the Research Council of Lithuania (LMTLT), agreement No S-PD-22–67.
DOI: 10.5281/zenodo.13889210
title: Organic food consumption behavior in Lithuania

description: The project was designed to comprehensively evaluate organic food consumption behavior in Lithuania by developing theoretical, conceptual frameworks, and methodological approaches. The project successfully achieved all of its objectives. First, it delivered the necessary frameworks for evaluating organic food consumption behavior. Second, it identified vital factors influencing organic food consumption and pinpointed the main barriers consumers face in Lithuania. Third, the project explored the role of environmental self-identity as a moderator in the relationship between consumption values and the intention to purchase organic food. Fourth, a multi-group analysis (MGA) was applied to deepen the structural equation model analysis, specifically investigating how purchase intentions toward organic food varied across different demographic groups, such as age, gender, education, and income. Fifth, the project provided a detailed assessment of organic marketing in Lithuania, offering targeted recommendations to marketers and policymakers on enhancing organic food consumption through individualized marketing initiatives to support environmental protection.

This project has received funding from the Research Council of Lithuania (LMTLT), agreement No S-PD-22–67.
DOI: 10.15468/dl.pyk3cg
title: Occurrence Download

description: A dataset containing 318338 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is China",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "Year 2020-2020"
 ]
}

 The dataset includes 318338 records from 261 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0007634-241007104925546/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.74w3pk
title: Occurrence Download

description: A dataset containing 21 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Leptodactylus sertanejo Giaretta & Costa, 2007"
 ]
}

 The dataset includes 21 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0007669-241007104925546/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.13918130
title: STD-BERTopic Online music platform data

description: “STD-BERTopic model has been applied to analyze online music platform data. The dataset consists of various user interactions, including how users engage with friends, follow others, and manage privacy settings. The data also reflects behaviors such as blocking users, re-following previously unfollowed users, and issues related to friend lists and visibility after unfollowing. The model extracts trends and topics from short texts, which reveal insights into user experiences, especially concerning friendship and follow functionalities.”
DOI: 10.5281/zenodo.13918131
title: STD-BERTopic Online music platform data

description: “STD-BERTopic model has been applied to analyze online music platform data. The dataset consists of various user interactions, including how users engage with friends, follow others, and manage privacy settings. The data also reflects behaviors such as blocking users, re-following previously unfollowed users, and issues related to friend lists and visibility after unfollowing. The model extracts trends and topics from short texts, which reveal insights into user experiences, especially concerning friendship and follow functionalities.”
DOI: 10.5281/zenodo.13918160
title: FORMATION OF NEW TYPES OF COMPETENCIES IN THE INNOVATIVE LEARNING CIRCUIT OF STUDENTS WITH A RADICAL UPDATE OF THE CONTENT AND TEACHING METHODS BY INCORPORATING ADVANCED SCIENTIFIC AND PEDAGOGICAL EXPERIENCE.
DOI: 10.5281/zenodo.13918161
title: FORMATION OF NEW TYPES OF COMPETENCIES IN THE INNOVATIVE LEARNING CIRCUIT OF STUDENTS WITH A RADICAL UPDATE OF THE CONTENT AND TEACHING METHODS BY INCORPORATING ADVANCED SCIENTIFIC AND PEDAGOGICAL EXPERIENCE.
DOI: 10.15468/dl.7ufb5v
title: Occurrence Download

description: A dataset containing 219 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Leptodactylus stenodema Jiménez de la Espada, 1875"
 ]
}

 The dataset includes 219 records from 36 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0007672-241007104925546/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.13382012
title: Molecular Probes for Tracking Lipid Droplet Membrane Dynamics

description: Abstract

Lipid droplets (LDs) and their membrane proteins play crucial roles in lipid metabolism, signaling, and information transport within cells. LDs feature a unique monolayer lipid membrane that has not been extensively studied due to the lack of suitable molecular probes that are able to distinguish this membrane from the LD lipid core. In this work, we present a three-pronged molecular probe design strategy that combines lipophilicity-based organelle targeting with microenvironment-dependent activation. As a proof-of-concept, we designed an LD membrane labeling pro-probe called LDM, which selectively localizes around LD membranes. Upon activation by the HClO/ClO− microenvironment that surrounds LDs, LDM pro-probe undergoes a color change and releases LDM-OH probe that binds to LD membrane proteins. This localizes the probe to the LD-associated protein space which is restricted to the membrane thus enabling visualization of the ring-like LD membrane. By utilizing LDM, we identified the dynamic mechanism of LD membrane contacts and their protein accumulation parameters. Furthermore, using LDM in liver cancer cells allowed us to examine the changes in LD/mitochondrial protein accumulation caused by the state of starvation these cells encounter. This led to the discovery that liver cancer cells respond to energy stress during hunger by enhancing LD-mitochondria interactions. Taken together, LDM represents the first molecular probe for imaging LD membranes in live cells, and represents an attractive tool for further investigations into the specific regulatory mechanisms and drug discovery associated with LD related metabolism diseases.

 

Keywords: Molecular Imaging, Cancer, Lipid droplets, Super-resolution Imaging
DOI: 10.5281/zenodo.13917217
title: Molecular Probes for Tracking Lipid Droplet Membrane Dynamics

description: Abstract

Lipid droplets (LDs) and their membrane proteins play crucial roles in lipid metabolism, signaling, and information transport within cells. LDs feature a unique monolayer lipid membrane that has not been extensively studied due to the lack of suitable molecular probes that are able to distinguish this membrane from the LD lipid core. In this work, we present a three-pronged molecular probe design strategy that combines lipophilicity-based organelle targeting with microenvironment-dependent activation. As a proof-of-concept, we designed an LD membrane labeling pro-probe called LDM, which selectively localizes around LD membranes. Upon activation by the HClO/ClO− microenvironment that surrounds LDs, LDM pro-probe undergoes a color change and releases LDM-OH probe that binds to LD membrane proteins. This localizes the probe to the LD-associated protein space which is restricted to the membrane thus enabling visualization of the ring-like LD membrane. By utilizing LDM, we identified the dynamic mechanism of LD membrane contacts and their protein accumulation parameters. Furthermore, using LDM in liver cancer cells allowed us to examine the changes in LD/mitochondrial protein accumulation caused by the state of starvation these cells encounter. This led to the discovery that liver cancer cells respond to energy stress during hunger by enhancing LD-mitochondria interactions. Taken together, LDM represents the first molecular probe for imaging LD membranes in live cells, and represents an attractive tool for further investigations into the specific regulatory mechanisms and drug discovery associated with LD related metabolism diseases.

 

Keywords: Molecular Imaging, Cancer, Lipid droplets, Super-resolution Imaging
DOI: 10.5281/zenodo.13917226
title: Molecular Probes for Tracking Lipid Droplet Membrane Dynamics

description: Abstract

Lipid droplets (LDs) and their membrane proteins play crucial roles in lipid metabolism, signaling, and information transport within cells. LDs feature a unique monolayer lipid membrane that has not been extensively studied due to the lack of suitable molecular probes that are able to distinguish this membrane from the LD lipid core. In this work, we present a three-pronged molecular probe design strategy that combines lipophilicity-based organelle targeting with microenvironment-dependent activation. As a proof-of-concept, we designed an LD membrane labeling pro-probe called LDM, which selectively localizes around LD membranes. Upon activation by the HClO/ClO− microenvironment that surrounds LDs, LDM pro-probe undergoes a color change and releases LDM-OH probe that binds to LD membrane proteins. This localizes the probe to the LD-associated protein space which is restricted to the membrane thus enabling visualization of the ring-like LD membrane. By utilizing LDM, we identified the dynamic mechanism of LD membrane contacts and their protein accumulation parameters. Furthermore, using LDM in liver cancer cells allowed us to examine the changes in LD/mitochondrial protein accumulation caused by the state of starvation these cells encounter. This led to the discovery that liver cancer cells respond to energy stress during hunger by enhancing LD-mitochondria interactions. Taken together, LDM represents the first molecular probe for imaging LD membranes in live cells, and represents an attractive tool for further investigations into the specific regulatory mechanisms and drug discovery associated with LD related metabolism diseases.

 

Keywords: Molecular Imaging, Cancer, Lipid droplets, Super-resolution Imaging
DOI: 10.5281/zenodo.13917897
title: Molecular Probes for Tracking Lipid Droplet Membrane Dynamics

description: Abstract

Lipid droplets (LDs) and their membrane proteins play crucial roles in lipid metabolism, signaling, and information transport within cells. LDs feature a unique monolayer lipid membrane that has not been extensively studied due to the lack of suitable molecular probes that are able to distinguish this membrane from the LD lipid core. In this work, we present a three-pronged molecular probe design strategy that combines lipophilicity-based organelle targeting with microenvironment-dependent activation. As a proof-of-concept, we designed an LD membrane labeling pro-probe called LDM, which selectively localizes around LD membranes. Upon activation by the HClO/ClO− microenvironment that surrounds LDs, LDM pro-probe undergoes a color change and releases LDM-OH probe that binds to LD membrane proteins. This localizes the probe to the LD-associated protein space which is restricted to the membrane thus enabling visualization of the ring-like LD membrane. By utilizing LDM, we identified the dynamic mechanism of LD membrane contacts and their protein accumulation parameters. Furthermore, using LDM in liver cancer cells allowed us to examine the changes in LD/mitochondrial protein accumulation caused by the state of starvation these cells encounter. This led to the discovery that liver cancer cells respond to energy stress during hunger by enhancing LD-mitochondria interactions. Taken together, LDM represents the first molecular probe for imaging LD membranes in live cells, and represents an attractive tool for further investigations into the specific regulatory mechanisms and drug discovery associated with LD related metabolism diseases.

 

Keywords: Molecular Imaging, Cancer, Lipid droplets, Super-resolution Imaging
DOI: 10.5281/zenodo.13918164
title: Molecular Probes for Tracking Lipid Droplet Membrane Dynamics

description: Abstract

Lipid droplets (LDs) and their membrane proteins play crucial roles in lipid metabolism, signaling, and information transport within cells. LDs feature a unique monolayer lipid membrane that has not been extensively studied due to the lack of suitable molecular probes that are able to distinguish this membrane from the LD lipid core. In this work, we present a three-pronged molecular probe design strategy that combines lipophilicity-based organelle targeting with microenvironment-dependent activation. As a proof-of-concept, we designed an LD membrane labeling pro-probe called LDM, which selectively localizes around LD membranes. Upon activation by the HClO/ClO− microenvironment that surrounds LDs, LDM pro-probe undergoes a color change and releases LDM-OH probe that binds to LD membrane proteins. This localizes the probe to the LD-associated protein space which is restricted to the membrane thus enabling visualization of the ring-like LD membrane. By utilizing LDM, we identified the dynamic mechanism of LD membrane contacts and their protein accumulation parameters. Furthermore, using LDM in liver cancer cells allowed us to examine the changes in LD/mitochondrial protein accumulation caused by the state of starvation these cells encounter. This led to the discovery that liver cancer cells respond to energy stress during hunger by enhancing LD-mitochondria interactions. Taken together, LDM represents the first molecular probe for imaging LD membranes in live cells, and represents an attractive tool for further investigations into the specific regulatory mechanisms and drug discovery associated with LD related metabolism diseases.

 

Keywords: Molecular Imaging, Cancer, Lipid droplets, Super-resolution Imaging
DOI: 10.5281/zenodo.12706682
title: Whole genome data of British and Irish Apis mellifera mellifera

description: The data here was analysed in Buswell et al 2024 Whole genome analyses of introgression in British and Irish Apis mellifera mellifera, Journal Of Apicultural Research 

Included here are two files, a vcf of the 140 individuals across ~9 million SNPs and an allele frequences file used in the analysis to perform the ABBA BABA analysis across the 183,94 SNPs that were found in the outgroup. The raw data used to create these data can be found Read Archive BioProject accession: PRJNA1069874 and the code used to produce these data can be found at https://github.com/Vicbuz/When_ones_not_enough and in the directory https://github.com/Vicbuz/When_ones_not_enough/tree/main/WGS_files. 

For more details, please see the paper.
DOI: 10.5281/zenodo.12706683
title: Whole genome data of British and Irish Apis mellifera mellifera

description: The data here was analysed in Buswell et al 2024 Whole genome analyses of introgression in British and Irish Apis mellifera mellifera, Journal Of Apicultural Research 

Included here are two files, a vcf of the 140 individuals across ~9 million SNPs and an allele frequences file used in the analysis to perform the ABBA BABA analysis across the 183,94 SNPs that were found in the outgroup. The raw data used to create these data can be found Read Archive BioProject accession: PRJNA1069874 and the code used to produce these data can be found at https://github.com/Vicbuz/When_ones_not_enough and in the directory https://github.com/Vicbuz/When_ones_not_enough/tree/main/WGS_files. 

For more details, please see the paper.
DOI: 10.15468/dl.x2fxn4
title: Occurrence Download

description: A dataset containing 171 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Leptodactylus syphax Bokermann, 1969"
 ]
}

 The dataset includes 171 records from 23 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0007673-241007104925546/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.qexhub
title: Occurrence Download

description: A dataset containing 14 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Continent is South America",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Lophanthera pendula Ducke"
 ]
}

 The dataset includes 14 records from 7 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0120587-230530130749713/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.xw735d
title: Occurrence Download

description: A dataset containing 222 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Continent is South America",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Lophanthera longifolia (Kunth) Griseb."
 ]
}

 The dataset includes 222 records from 28 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0120585-230530130749713/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.2b4g6s
title: Occurrence Download

description: A dataset containing 117 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Continent is South America",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Lophanthera lactescens Ducke"
 ]
}

 The dataset includes 117 records from 31 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0120586-230530130749713/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.13911909
title: Ferry et al. 2024 - Prey that is attractive but not repelled by predators suggests an asymmetric investment in the encounter-avoid-escape sequence. - R Code and Datasets

description: R code for formating data and running PAMMs for all different combinations of predator-prey.

Data of camera trap observation.

Data of environmental variable associated to camera trap sites.
DOI: 10.15468/dl.ay2kwq
title: Occurrence Download

description: A dataset containing 416186 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Specimen",
 "Geometry POLYGON((116.97545 7.50417,108.19035 1.49425,109.16255 -1.68747,110.13474 -3.34904,113.31646 -3.95003,115.79114 -4.5687,116.86939 -3.93236,117.15221 -1.81121,117.96532 0.25691,119.30871 0.69882,118.61934 1.74172,117.98299 3.49166,119.32639 4.09266,119.43244 4.94112,119.45012 5.55978,118.69004 6.62036,116.97545 7.50417))",
 "OccurrenceStatus is Present"
 ]
}

 The dataset includes 416186 records from 529 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0007654-241007104925546/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ftq3ye
title: Occurrence Download

description: A dataset containing 334 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Leptodactylus troglodytes Lutz, 1926"
 ]
}

 The dataset includes 334 records from 18 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0007674-241007104925546/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.