cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.15673516
title: Single-cell lipidomics by LC-MS inter-laboratory study reveals the impact of X-ray irradiation on a pancreatic cancer cell line and its bystanders - Raw Data

description: Single-cell lipidomics by LC-MS inter-laboratory study reveals the impact of X-ray irradiation on a pancreatic cancer cell line and its bystanders.

 

This record contains all raw LC-MS files described in the publication titled above. The datasets are comprised of analyses by two laboratories of cells sampled from the same experiement, and are split into 'discovery' and 'validation' datasets as described in the publication.
DOI: 10.15468/dl.e278wt
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Limosella major Diels",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "BasisOfRecord is one of (Specimen, Living Specimen, Observation, Human Observation, Machine Observation, Material sample, Literature Occurrence, Material citation, Occurrence evidence)",
 "Geometry POLYGON ((15.6372 -28.0032,16.2782 -28.5786,20.509 -28.5786,20.509 -24.0715,15.4933 -24.0715,15.4945 -24.1257,16.0509 -25.6631,15.6372 -28.0032))"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0051078-250525065834625/datasets/export for details.
DOI: 10.6084/m9.figshare.29279216
title: Dust-Microbiome Bacilli project

description: Excels for parameter extraction and source data for quantitative graphsSource microscope images and flow cytometry dataBiofilm colonies unprocessed images
DOI: 10.6084/m9.figshare.29279216.v1
title: Dust-Microbiome Bacilli project

description: Excels for parameter extraction and source data for quantitative graphsSource microscope images and flow cytometry dataBiofilm colonies unprocessed images
DOI: 10.6084/m9.figshare.29279216.v2
title: Dust-Microbiome Bacilli project

description: Excels for parameter extraction and source data for quantitative graphsSource microscope images and flow cytometry dataBiofilm colonies unprocessed images
DOI: 10.5281/zenodo.10634698
title: Dataset and syntax for manuscript "Individual Differences in Studentsʼ Approach and Avoidance Sensitivity as Predictors of Academic Progression During Elementary School"

description: Each syntax file corresponds to figures in supplemental materials for the manuscript. 

1_ICC.inp corresponds to Figure S2.

2_multigroup_CFA.inp corresponds to Figure S3.

3_ Longitudinal_CFA.inp corresponds to Figure S4.

3a_Longitudinal_CFA_weak.inp corresponds to Figure S5.

3b_Longitudinal_CFA_strong.inp corresponds to Figure S6.

3c_Longitudinal_CFA_strict.inp corresponds to Figure S7.

4_Curve-of-factors model (CFM).inp corresponds to Figure S8.

5_SOGMM_CF_CI_3class.inp corresponds to Figure S9.

5a_SOGMM_CF_CI_3class_groupcomparison_CONFIG.inp corresponds to Figure S10.

5b_SOGMM_CF_CI_3class_groupcomparison_STRUCTURE.inp corresponds to Figure S11.

6_BISBAS_ESEM_3factor.inp corresponds to Figure S12.

7_SOGMM_CF_CI_3class_predictors.inp corresponds to Figure S13.

8_missing_analyses_and_colinearity_check.R corresponds to Figure S14.

9_creating_missing_patterns.py corresponds to Figure S15.

Syntaxes 1 - 7 are mplus files that run on the datafile SOGMM_noID.dat

Syntax 8 is an R file that runs on the datafile SOGMM_noID_missing.dat

Syntax 9 is a Python script that runs on the datafile SOGMM_noID.sav

For any questions do not hesitate to reach out to Andreas Høstmælingen, andreas.hostmalingen@nubu.no.
DOI: 10.15468/dl.pztug8
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Limosella major Diels",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "BasisOfRecord is one of (Specimen, Living Specimen, Observation, Human Observation, Machine Observation, Material sample, Literature Occurrence, Material citation, Occurrence evidence)",
 "Geometry POLYGON ((15.4784 -23.4046,15.4933 -24.0715,20.509 -24.0715,20.509 -24.0455,20.0952 -23.5072,19.9968 -23.017,19.7843 -22.5405,19.1988 -21.8785,18.5972 -21.5447,17.8859 -21.3993,17.1626 -21.4805,16.5332 -21.7596,16.1257 -22.0882,15.8234 -22.4662,15.606 -22.8993,15.4784 -23.4046))"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0051080-250525065834625/datasets/export for details.
DOI: 10.15468/dl.ewacrf
title: Occurrence Download

description: A dataset containing 3086 species occurrences available in GBIF matching the query:
{
 "and" : [
 "GadmGid is FRA.10.12_1",
 "OccurrenceStatus is Present",
 "TaxonKey is Circus pygargus (Linnaeus, 1758)"
 ]
}

 The dataset includes 3086 records from 101 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0051081-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.xwcg9m
title: Occurrence Download

description: A dataset containing 39494 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Material sample)"
 ]
 }
 },
 "TaxonKey is Accipiter melanoleucus A.Smith, 1830",
 "Continent is one of (Africa)",
 "Year is greater than or equal to 1900"
 ]
}

 The dataset includes 39494 records from 54 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0051079-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.kzm5yj
title: Occurrence Download

description: A dataset containing 1 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Limosella major Diels",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "BasisOfRecord is one of (Specimen, Living Specimen, Observation, Human Observation, Machine Observation, Material sample, Literature Occurrence, Material citation, Occurrence evidence)",
 "Geometry POLYGON ((25.5395 -28.5786,20.509 -28.5786,20.509 -32.9007,25.5395 -32.9007,25.5395 -28.5786))"
 ]
}

 The dataset includes 1 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0051082-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.15682491
title: Linear and non-linear proteome-wide association studies provide  novel insight into venous thromboembolism
DOI: 10.5281/zenodo.15682490
title: Linear and non-linear proteome-wide association studies provide  novel insight into venous thromboembolism
DOI: 10.71569/sd04-jf18
title: Research data: Factors that Influence the Job Satisfaction of University Professors: A Post-Pandemic Analysis

description: Conjunto de datos para medir las diferentes variables hacia las cuales se inclinan los profesores y establecer las variables que, después de COVID-19, podrían haber influido en sus preferencias laborales.
DOI: 10.15468/dl.j8499h
title: Occurrence Download

description: A dataset containing 22019 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Material sample)"
 ]
 }
 },
 "TaxonKey is Accipiter minullus (Daudin, 1800)",
 "Continent is one of (Africa)",
 "Year is greater than or equal to 1900"
 ]
}

 The dataset includes 22019 records from 49 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0051083-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.kj6tja
title: Occurrence Download

description: A dataset containing 1 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Limosella major Diels",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "BasisOfRecord is one of (Specimen, Living Specimen, Observation, Human Observation, Machine Observation, Material sample, Literature Occurrence, Material citation, Occurrence evidence)",
 "Geometry POLYGON ((20.7576 -24.3688,20.529 -24.0715,20.509 -24.0715,20.509 -28.5786,25.5395 -28.5786,25.5395 -24.0715,25.1306 -24.0715,24.9333 -24.4571,23.8962 -24.2467,22.8065 -24.295,22.3719 -24.7207,22.2323 -25.547,22.0387 -25.7188,21.7833 -25.7784,21.5388 -25.7113,21.3553 -25.5415,20.7576 -24.3688))"
 ]
}

 The dataset includes 1 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0051085-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.6cn649
title: Occurrence Download

description: A dataset containing 4220 species occurrences available in GBIF matching the query:
{
 "and" : [
 "GadmGid is FRA.10.12_1",
 "OccurrenceStatus is Present",
 "TaxonKey is Circus cyaneus (Linnaeus, 1766)"
 ]
}

 The dataset includes 4220 records from 136 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0051086-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.23yuvr
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Limosella major Diels",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "BasisOfRecord is one of (Specimen, Living Specimen, Observation, Human Observation, Machine Observation, Material sample, Literature Occurrence, Material citation, Occurrence evidence)",
 "Geometry POLYGON ((20.529 -24.0715,20.509 -24.0455,20.509 -24.0715,20.529 -24.0715))"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0051087-250525065834625/datasets/export for details.
DOI: 10.15468/dl.wxjyug
title: Occurrence Download

description: A dataset containing 6534 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Material sample)"
 ]
 }
 },
 "TaxonKey is Accipiter nisus (Linnaeus, 1758)",
 "Continent is one of (Africa)",
 "Year is greater than or equal to 1900"
 ]
}

 The dataset includes 6534 records from 22 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0051088-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.evf8vz
title: Occurrence Download

description: A dataset containing 7782 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Madagascar",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Lemuridae"
 ]
}

 The dataset includes 7782 records from 33 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0051089-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.15682430
title: Metagenomic Profiling of Antimicrobial Resistance in Wastewater from Metropolitan Cities of India - a two-year longitudinal study

description: The compressed file contains processed data needed to replicate the results of our metagenomic study. The code for the analysis can be accessed from https://github.com/SowpatiLab/Metro_metagenomics
DOI: 10.21227/q9f8-3173
title: "Multi-cell thermal model-Temperature curves"

description: "Temperature dynamic curves of a 4-cell battery module."
DOI: 10.5282/ubm/data.631
title: Assets to "Coupled planetary wave dynamics in the polar stratosphere analyzed with potential enstrophy and eddy energy budgets" by Rupp et al

description: Enstrophy and ETE budgets in the Stratosphere for the 2003 and 2021 SSW and an idealised simulation.

Data to:
Rupp, P., Hitchcock, P., & Birner, T. (2025). Coupled planetary wave dynamics in the polar stratosphere analyzed with potential enstrophy and eddy energy budgets. Journal of the Atmospheric Sciences. https://doi.org/10.1175/JAS-D-24-0249.1
DOI: 10.15468/dl.3mrm7b
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Limosella major Diels",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "BasisOfRecord is one of (Specimen, Living Specimen, Observation, Human Observation, Machine Observation, Material sample, Literature Occurrence, Material citation, Occurrence evidence)",
 "Geometry POLYGON ((25.5395 -23.2724,25.1306 -24.0715,25.5395 -24.0715,25.5395 -23.2724))"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0051090-250525065834625/datasets/export for details.
DOI: 10.15468/dl.x4c359
title: Occurrence Download

description: A dataset containing 38 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is one of (Material citation, Specimen)",
 "Geometry POLYGON((-102.1957 29.67017,-103.4865 31.06226,-105.15379 30.04333,-104.50839 28.63685,-102.89488 27.66473,-101.57719 28.94323,-102.1957 29.67017))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Gerrhonotus infernalis Baird, 1859"
 ]
}

 The dataset includes 38 records from 15 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0051091-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.6h8hb5
title: Occurrence Download

description: A dataset containing 7 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Philippines",
 "TaxonKey is Tarsomys echinatus Musser & Heaney, 1992"
 ]
}

 The dataset includes 7 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0051092-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.6084/m9.figshare.22852355
title: Vane, Cobain & Larsen: Carbon stable isotope analysis of amino acids review. Compilation Data

description: Metadata spreadsheets pertaining to the data compilations as part of the Vane, Cobain, and Larsen review:<b>The power and pitfalls of amino acid carbon stable isotopes for tracing origin and use of basal resources in food webs</b>Published January 2025 Ecological Monographs: https://esajournals.onlinelibrary.wiley.com/doi/full/10.1002/ecm.1647<b>Abstract:</b>Natural and anthropogenic stressors alter the composition, biomass, and nutritional quality of primary producers and microorganisms, the basal organisms that synthesize the biomolecules essential for metazoan growth and survival (i.e., basal resources). Traditional biomarkers have provided valuable insight into the spatiotemporal dynamics of basal resource use, but lack specificity in identifying multiple basal organisms, can be confounded by environmental and physiological processes, and do not always preserve in tissues over long timescales. Carbon stable isotope ratios of essential amino acids (δ<sup>13</sup>C-EAA) show remarkable promise in identifying and distinguishing clades of basal organisms with unique δ<sup>13</sup>C-EAA fingerprints that are independent of trophic processing and environmental variability, providing unparalleled potential in their application. Understanding the biochemical processes that underpin δ<sup>13</sup>C-AA data is crucial, however, for holistic and robust inferences in ecological applications. This comprehensive methodological review, for the first time, conceptualizes these mechanistic underpinnings that drive δ<sup>13</sup>C-EAA fingerprints among basal organisms and incorporates δ<sup>13</sup>C values of non-essential amino acids that are generally overlooked in ecological studies, despite the gain of metabolic information. We conduct meta-analyses of published data to test hypothesized AA-specific isotope fractionations among basal organism clades, demonstrating that phenylalanine separates vascular plant δ<sup>13</sup>C-EAA fingerprints, which strongly covaries with their phylogeny. We further explore the utility of non-essential AAs in separating dietary protein sources of archaeological humans, showing the differences in metabolic information contained within different NEAAs. By scrutinizing the many methodologies that are applied in the field, we highlight the absence of standardized analytical protocols, particularly in sample pretreatments leading to biases, inappropriate use of statistical methods, and reliance on unsuitable training data. To unlock the full potential of δ<sup>13</sup>C-EAA fingerprints, we provide in-depth explanations on knowledge gaps, pitfalls, and optimal practices in this complex but powerful approach for assessing ecosystem change across spatiotemporal scales.Note that isotope values are provided to 2 decimal places.
DOI: 10.6084/m9.figshare.22852355.v5
title: Vane, Cobain & Larsen: Carbon stable isotope analysis of amino acids review. Compilation Data

description: Metadata spreadsheets pertaining to the data compilations as part of the Vane, Cobain, and Larsen review:<b>The power and pitfalls of amino acid carbon stable isotopes for tracing origin and use of basal resources in food webs</b>Published January 2025 Ecological Monographs: https://esajournals.onlinelibrary.wiley.com/doi/full/10.1002/ecm.1647<b>Abstract:</b>Natural and anthropogenic stressors alter the composition, biomass, and nutritional quality of primary producers and microorganisms, the basal organisms that synthesize the biomolecules essential for metazoan growth and survival (i.e., basal resources). Traditional biomarkers have provided valuable insight into the spatiotemporal dynamics of basal resource use, but lack specificity in identifying multiple basal organisms, can be confounded by environmental and physiological processes, and do not always preserve in tissues over long timescales. Carbon stable isotope ratios of essential amino acids (δ<sup>13</sup>C-EAA) show remarkable promise in identifying and distinguishing clades of basal organisms with unique δ<sup>13</sup>C-EAA fingerprints that are independent of trophic processing and environmental variability, providing unparalleled potential in their application. Understanding the biochemical processes that underpin δ<sup>13</sup>C-AA data is crucial, however, for holistic and robust inferences in ecological applications. This comprehensive methodological review, for the first time, conceptualizes these mechanistic underpinnings that drive δ<sup>13</sup>C-EAA fingerprints among basal organisms and incorporates δ<sup>13</sup>C values of non-essential amino acids that are generally overlooked in ecological studies, despite the gain of metabolic information. We conduct meta-analyses of published data to test hypothesized AA-specific isotope fractionations among basal organism clades, demonstrating that phenylalanine separates vascular plant δ<sup>13</sup>C-EAA fingerprints, which strongly covaries with their phylogeny. We further explore the utility of non-essential AAs in separating dietary protein sources of archaeological humans, showing the differences in metabolic information contained within different NEAAs. By scrutinizing the many methodologies that are applied in the field, we highlight the absence of standardized analytical protocols, particularly in sample pretreatments leading to biases, inappropriate use of statistical methods, and reliance on unsuitable training data. To unlock the full potential of δ<sup>13</sup>C-EAA fingerprints, we provide in-depth explanations on knowledge gaps, pitfalls, and optimal practices in this complex but powerful approach for assessing ecosystem change across spatiotemporal scales.Note that isotope values are provided to 2 decimal places.
DOI: 10.6084/m9.figshare.22852355.v6
title: Vane, Cobain & Larsen: Carbon stable isotope analysis of amino acids review. Compilation Data

description: Metadata spreadsheets pertaining to the data compilations as part of the Vane, Cobain, and Larsen review:<b>The power and pitfalls of amino acid carbon stable isotopes for tracing origin and use of basal resources in food webs</b>Published January 2025 Ecological Monographs: https://esajournals.onlinelibrary.wiley.com/doi/full/10.1002/ecm.1647<b>Abstract:</b>Natural and anthropogenic stressors alter the composition, biomass, and nutritional quality of primary producers and microorganisms, the basal organisms that synthesize the biomolecules essential for metazoan growth and survival (i.e., basal resources). Traditional biomarkers have provided valuable insight into the spatiotemporal dynamics of basal resource use, but lack specificity in identifying multiple basal organisms, can be confounded by environmental and physiological processes, and do not always preserve in tissues over long timescales. Carbon stable isotope ratios of essential amino acids (δ<sup>13</sup>C-EAA) show remarkable promise in identifying and distinguishing clades of basal organisms with unique δ<sup>13</sup>C-EAA fingerprints that are independent of trophic processing and environmental variability, providing unparalleled potential in their application. Understanding the biochemical processes that underpin δ<sup>13</sup>C-AA data is crucial, however, for holistic and robust inferences in ecological applications. This comprehensive methodological review, for the first time, conceptualizes these mechanistic underpinnings that drive δ<sup>13</sup>C-EAA fingerprints among basal organisms and incorporates δ<sup>13</sup>C values of non-essential amino acids that are generally overlooked in ecological studies, despite the gain of metabolic information. We conduct meta-analyses of published data to test hypothesized AA-specific isotope fractionations among basal organism clades, demonstrating that phenylalanine separates vascular plant δ<sup>13</sup>C-EAA fingerprints, which strongly covaries with their phylogeny. We further explore the utility of non-essential AAs in separating dietary protein sources of archaeological humans, showing the differences in metabolic information contained within different NEAAs. By scrutinizing the many methodologies that are applied in the field, we highlight the absence of standardized analytical protocols, particularly in sample pretreatments leading to biases, inappropriate use of statistical methods, and reliance on unsuitable training data. To unlock the full potential of δ<sup>13</sup>C-EAA fingerprints, we provide in-depth explanations on knowledge gaps, pitfalls, and optimal practices in this complex but powerful approach for assessing ecosystem change across spatiotemporal scales.Note that isotope values are provided to 2 decimal places.
DOI: 10.15468/dl.ej8fsg
title: Occurrence Download

description: A dataset containing 8 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Philippines",
 "TaxonKey is Carpomys phaeurus Thomas, 1895"
 ]
}

 The dataset includes 8 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0051094-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.