cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.17044/scilifelab.28815638.v2
title: Association of estrogen receptor single nucleotide polymorphisms and perinatal depression

description: This data supports findings in a nested study within the population-based prospective Biology, Affect, Stress, Imaging, and Cognition (BASIC) cohort conducted from September 9th 2009 to November 30th 2019 in Uppsala, Sweden (Written, informed consent was obtained from all participants in accordance with the Declaration of Helsinki and the research is approved by the Regional Ethical Review Board in Uppsala [Dnr 2009/171 with amendments]). The main aim of BASIC was to investigate the biopsychosocial processes in perinatal depression (PND) and to identify risk factors to improve early detection.Genetic variations in the estrogen receptor genes (ESR) have been implicated in susceptibility to depression. However, only few studies investigated them in PND and none on its different trajectories (i.e. patterns of time of onset and persistency of depression).Here, we explored the association of single nucleotide polymorphisms (SNPs) of the ESR1 and ESR2 genes with PND among 2,973 women in Sweden. PND was defined using the Edinburgh Postnatal Depression Scale, the Depression Self-Rating Scale, use of selective serotonin reuptake inhibitor, and/or medical records. PND trajectories were identified as follows: controls (no depression at any point in the perinatal period), antepartum (depression during pregnancy and resolved postpartum), postpartum-onset (no depression during pregnancy with onset after delivery), and persistent (depression throughout the perinatal period).DNA was extracted from blood using the silica-based Kleargene XL Nucleic acid extraction kit. Genotyping for ESR1 and ESR2 was performed for 2,915 individuals genotyped using the Illumina Infinium assay and Illumina Global Screening Array – Multi Diseases version 2 (GSA-MDv2) at the SNP&SEQ Technology Platform, SciLifeLab, Uppsala University. One SNP of ESR1 (rs1884051) was performed for 1,425 individuals using the Kbioscience Allele-Specific Polymorphism assay (KASP) based on competitive allele-specific PCR and bi-allelic scoring of the SNP (KBioscience/LGC®, UK).Among the BASIC participants who donated blood in late pregnancy, estradiol was analyzed in a subset of individuals (N=205). This subset was oversampled for cases with ongoing depression (i.e. EPDS ≥13 at either gestational week 17 or 32 and/or taking SSRI during pregnancy). Competitive immunometry electrochemiluminescense was used to detect estradiol in serum. Analyses were performed with a Roche Cobas Elecsys estradiol III kit (Roche Diagnostics, Bromma, Sweden).The individual data and code associated with this study, are available upon reasonable request and after necessary agreements have been signed by the involved parties. The data cannot be shared openly as they contain sensitive information and due to the characteristics of the sample, deductive disclosure cannot be completely excluded.The dataset contains demographic data and data on PND and serum estradiol, as well as ESR SNP variation calls and QC statistics for the SNP markers.<br>
DOI: 10.17044/scilifelab.28815638.v1
title: Association of estrogen receptor single nucleotide polymorphisms and perinatal depression

description: This data supports findings in a nested study within the population-based prospective Biology, Affect, Stress, Imaging, and Cognition (BASIC) cohort conducted from September 9th 2009 to November 30th 2019 in Uppsala, Sweden (Written, informed consent was obtained from all participants in accordance with the Declaration of Helsinki and the research is approved by the Regional Ethical Review Board in Uppsala [Dnr 2009/171 with amendments]). The main aim of BASIC was to investigate the biopsychosocial processes in perinatal depression (PND) and to identify risk factors to improve early detection.Genetic variations in the estrogen receptor genes (ESR) have been implicated in susceptibility to depression. However, only few studies investigated them in PND and none on its different trajectories (i.e. patterns of time of onset and persistency of depression).Here, we explored the association of single nucleotide polymorphisms (SNPs) of the ESR1 and ESR2 genes with PND among 2,973 women in Sweden. PND was defined using the Edinburgh Postnatal Depression Scale, the Depression Self-Rating Scale, use of selective serotonin reuptake inhibitor, and/or medical records. PND trajectories were identified as follows: controls (no depression at any point in the perinatal period), antepartum (depression during pregnancy and resolved postpartum), postpartum-onset (no depression during pregnancy with onset after delivery), and persistent (depression throughout the perinatal period).DNA was extracted from blood using the silica-based Kleargene XL Nucleic acid extraction kit. Genotyping for ESR1 and ESR2 was performed for 2,915 individuals genotyped using the Illumina Infinium assay and Illumina Global Screening Array – Multi Diseases version 2 (GSA-MDv2) at the SNP&SEQ Technology Platform, SciLifeLab, Uppsala University. One SNP of ESR1 (rs1884051) was performed for 1,425 individuals using the Kbioscience Allele-Specific Polymorphism assay (KASP) based on competitive allele-specific PCR and bi-allelic scoring of the SNP (KBioscience/LGC®, UK).Among the BASIC participants who donated blood in late pregnancy, estradiol was analyzed in a subset of individuals (N=205). This subset was oversampled for cases with ongoing depression (i.e. EPDS ≥13 at either gestational week 17 or 32 and/or taking SSRI during pregnancy). Competitive immunometry electrochemiluminescense was used to detect estradiol in serum. Analyses were performed with a Roche Cobas Elecsys estradiol III kit (Roche Diagnostics, Bromma, Sweden).The individual data and code associated with this study, are available upon reasonable request and after necessary agreements have been signed by the involved parties. The data cannot be shared openly as they contain sensitive information and due to the characteristics of the sample, deductive disclosure cannot be completely excluded.The dataset contains demographic data and data on PND and serum estradiol, as well as ESR SNP variation calls and QC statistics for the SNP markers.<br>
DOI: 10.15468/dl.8pq9wy
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Cryphonectria parasitica",
 "Country is Azerbaijan",
 "HasCoordinate is true"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0013709-260108223611665/datasets/export for details.
DOI: 10.15468/dl.pu28zj
title: Occurrence Download

description: A dataset containing 114 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Cryphonectria parasitica",
 "Country is Croatia",
 "HasCoordinate is true"
 ]
}

 The dataset includes 114 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0013710-260108223611665/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.nbbg9b
title: Occurrence Download

description: A dataset containing 11193 species occurrences available in GBIF matching the query:
{
 "and" : [
 "OccurrenceStatus is Present",
 "TaxonKey is Centaurea diffusa"
 ]
}

 The dataset includes 11193 records from 405 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0013708-260108223611665/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.rh8htf
title: Occurrence Download

description: A dataset containing 65 species occurrences available in GBIF matching the query:
{
 "and" : [
 {
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 }
 ]
 },
 "TaxonKey is Acupalpus indistinctus Dejean, 1831",
 "Year is greater than or equal to 1950",
 {
 "or" : [
 "GadmGid is USA",
 "GadmGid is CAN",
 "GadmGid is MEX"
 ]
 }
 ]
}

 The dataset includes 65 records from 13 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0008505-250515123054153/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.29105078
title: Benchmark on GenAI Tools from the Perspective of HCI - Database

description: Benchmark on GenAI Tools from the Perspective of HCI - Database<br>
DOI: 10.5281/zenodo.14934122
title: T cell responses towards PINK1 and ⍺-synuclein are elevated in prodromal Parkinson's disease - Fluorospot data

description: Antigen-specific T cell reactivity in PBMCs were studied using the Fluorospot assay

PBMCs were co-cultured with alpha-synuclein, (⍺-syn) PINK1, or Epstein-Barr virus peptide pools and subsequently expanded in vitro over a two-week period. Cultures were supplemented with IL-2 (10 U/mL) every 4 days. After two weeks, expanded cells were harvested and were re-stimulated in triplicates with the same peptide pools, dimethylsulfoxide (DMSO; as a negative control) and phytohemagglutinin (PHA; as a positive control) and then processed for a dual-color (interferon-gamma and IL-5) Fluorospot assay (Mabtech). Spot forming cells (SFC) were captured using an IRIS Fluorospot reader (Mabtech) and results were analyzed using Excel (Microsoft). To be considered positive, antigen-specific T cells had >100 SFC per million PBMC, p-value <0.05 and >2 fold increase when compared to the DMSO control.

Note: “ND” refers to “no data”, as some samples either did not have the adequate amount of cells for testing or did not pass our SFC quality control criteria. The "Sum of ⍺-syn and PINK1 IFNγ SFC/10^6 cultured cells" and "Sum of ⍺-syn and PINK1 IL-5 SFC/10^6 cultured cells" was only calculated for donors screen with both PINK1 and ⍺-syn.

In the Unified Parkinson’s Disease Rating Scale (UPDRS) part III and the Montreal Cognitive Assessment (MoCA) tests columns, donors not tested were assigned "Not tested".
DOI: 10.5281/zenodo.14934123
title: T cell responses towards PINK1 and ⍺-synuclein are elevated in prodromal Parkinson's disease - Fluorospot data

description: Antigen-specific T cell reactivity in PBMCs were studied using the Fluorospot assay

PBMCs were co-cultured with alpha-synuclein, (⍺-syn) PINK1, or Epstein-Barr virus peptide pools and subsequently expanded in vitro over a two-week period. Cultures were supplemented with IL-2 (10 U/mL) every 4 days. After two weeks, expanded cells were harvested and were re-stimulated in triplicates with the same peptide pools, dimethylsulfoxide (DMSO; as a negative control) and phytohemagglutinin (PHA; as a positive control) and then processed for a dual-color (interferon-gamma and IL-5) Fluorospot assay (Mabtech). Spot forming cells (SFC) were captured using an IRIS Fluorospot reader (Mabtech) and results were analyzed using Excel (Microsoft). To be considered positive, antigen-specific T cells had >100 SFC per million PBMC, p-value <0.05 and >2 fold increase when compared to the DMSO control.

Note: “ND” refers to “no data”, as some samples either did not have the adequate amount of cells for testing or did not pass our SFC quality control criteria. The "Sum of ⍺-syn and PINK1 IFNγ SFC/10^6 cultured cells" and "Sum of ⍺-syn and PINK1 IL-5 SFC/10^6 cultured cells" was only calculated for donors screen with both PINK1 and ⍺-syn.

In the Unified Parkinson’s Disease Rating Scale (UPDRS) part III and the Montreal Cognitive Assessment (MoCA) tests columns, donors not tested were assigned "Not tested".
DOI: 10.15468/dl.ks9ef4
title: Occurrence Download

description: A dataset containing 437 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 },
 "TaxonKey is Onychopetalum R.E.Fr."
 ]
}

 The dataset includes 437 records from 52 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0008506-250515123054153/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.dfzjcn
title: Occurrence Download

description: A dataset containing 92 species occurrences available in GBIF matching the query:
{
 "and" : [
 {
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 }
 ]
 },
 "TaxonKey is Anisodactylus caenus (Say, 1823)",
 "Year is greater than or equal to 1950",
 {
 "or" : [
 "GadmGid is USA",
 "GadmGid is CAN",
 "GadmGid is MEX"
 ]
 }
 ]
}

 The dataset includes 92 records from 8 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0008507-250515123054153/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.f2d895
title: Occurrence Download

description: A dataset containing 1864327 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Repatriated is TRUE",
 "Country is Norway",
 {
 "or" : [
 "CoordinateUncertaintyInMeters is null",
 "CoordinateUncertaintyInMeters is less than or equal to 10000"
 ]
 },
 {
 "not" : {
 "DatasetKey" : [
 "is EBCC Atlas of European Breeding Birds"
 ]
 }
 }
 ]
}

 The dataset includes 1864327 records from 1601 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0008480-250515123054153/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.n747je
title: Occurrence Download

description: A dataset containing 4308 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Acupalpus meridianus (Linnaeus, 1760)",
 "HasCoordinate is true"
 ]
}

 The dataset includes 4308 records from 200 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0008508-250515123054153/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.dkvjnv
title: Occurrence Download

description: A dataset containing 656 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 },
 "TaxonKey is Operculicarya H.Perrier"
 ]
}

 The dataset includes 656 records from 23 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0008511-250515123054153/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.93dn52
title: Occurrence Download

description: A dataset containing 369 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((-92.69824 31.43207,-98.19546 29.59898,-99.25944 26.31028,-98.72745 21.94209,-97.8408 18.44779,-93.0529 16.7576,-88.97432 19.95492,-90.21563 15.22344,-85.95971 14.02236,-84.89573 10.0342,-80.81715 8.45903,-75.85192 7.0534,-71.41868 7.7568,-68.75873 9.68478,-61.66554 6.87738,-55.63633 4.93721,-54.39503 7.40524,-56.16832 14.53791,-65.92146 20.45417,-72.30533 22.76211,-76.20658 27.5749,-83.29977 31.28064,-92.69824 31.43207))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Lutjanus buccanella (Cuvier, 1828)"
 ]
}

 The dataset includes 369 records from 52 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0008510-250515123054153/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.wcmgt7
title: Occurrence Download

description: A dataset containing 5 species occurrences available in GBIF matching the query:
{
 "and" : [
 {
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 }
 ]
 },
 "TaxonKey is Amara otiosa Casey, 1918",
 "Year is greater than or equal to 1950",
 {
 "or" : [
 "GadmGid is USA",
 "GadmGid is CAN",
 "GadmGid is MEX"
 ]
 }
 ]
}

 The dataset includes 5 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0008512-250515123054153/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.v5jtge
title: Occurrence Download

description: A dataset containing 164322 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Colombia",
 "OccurrenceStatus is Present",
 "TaxonKey is Vanellus chilensis (Molina, 1782)",
 "Year 2010-2025"
 ]
}

 The dataset includes 164322 records from 404 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0008489-250515123054153/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.26188/28340078
title: Frailty in Early Rehabilitation

description: The Frailty in Early Rehabilitation dataset is for the 2021 calendar year as described in the publication by Jones JRA, Berney S, Michael C, et al. Association between frailty and physical function recovery of people who received physiotherapy early rehabilitation during acute hospitalisation: An observational cohort study. <i>The Journal of Frailty & Aging</i>. 2025;14(3):100052. https://www.sciencedirect.com/science/article/pii/S226013412500043X. doi: 10.1016/j.tjfa.2025.100052..
DOI: 10.15468/dl.tf6vhs
title: Occurrence Download

description: A dataset containing 323 species occurrences available in GBIF matching the query:
{
 "and" : [
 {
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 }
 ]
 },
 "TaxonKey is Clivina impressefrons LeConte, 1844",
 "Year is greater than or equal to 1950",
 {
 "or" : [
 "GadmGid is USA",
 "GadmGid is CAN",
 "GadmGid is MEX"
 ]
 }
 ]
}

 The dataset includes 323 records from 21 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0008514-250515123054153/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.3886/e230322v1
title: Strengthening Evidence on the Role of Funding Adequacy in School Opening During the COVID-19 Pandemic: A Response to Weber and Baker (2025)

description: This study is a response to Weber and Baker's (2025) study titled: "Does School Funding Matter in a Pandemic? COVID-19 Instructional Models and School Funding Adequacy."<br><br>The purpose of this study is to update Weber and Baker's (2025) original analysis by including a measure of local partisanship. This analytic decision is informed by the consistent finding in prior literature on COVID-19 and school reopening in the United States that partisanship is associated with reopening decisions (Singer, 2022). Weber and Baker did not include a measure of district partisanship in their original study.<br><br>This data repository includes original data files, code, and cleaned data (Stata format) for partisanship data by district (as measured by the Trump and Biden vote shares in 2020). It also includes code to replicate the analysis uses Weber & Baker's data and adds the partisanship measure.<br><br>Link to original Weber & Baker (2025) article: https://journals.sagepub.com/doi/10.1177/23328584251327581Link to original Weber & Baker (2025) data repository: https://doi.org/10.3886/E220523Singer, J. (2022). School reopening decisions during the COVID-19 pandemic: What can we learn from the emerging literature? Annenberg Working Paper Series. https://edworkingpapers.com/ai22-617
DOI: 10.3886/e220523
title: Data and Programming for "Does School Funding Matter In a Pandemic? COVID-19 Instructional Models and School Funding Adequacy"

description: Data and Programming for "Does School Funding Matter In a Pandemic? COVID-19 Instructional Models and School Funding Adequacy"<br><br>Abstract: The factors that influenced school districts’ decisions to offer virtual, hybrid, or in-person instruction during the 2020-21 school year­—the first full school year after the emergence of the COVID-19 pandemic—have been the focus of a large body of research in recent years. Some of this research examines the influence of school spending, among other factors; however, these studies do not consider spending in relation to cost, “cost” being the amount needed for a school district to achieve a given outcome. This paper uses a measure of adequacy, which is the amount of spending under or over estimated cost, to determine whether spending correlates with the amount of time a school district offered virtual instruction. We find spending adequacy significantly and substantially predicts time spent in virtual instruction: for every $1,000 positive change in adequacy (closing a gap and/or adding to a surplus), the time spent in virtual schooling decreases 0.9 percentage points. A one standard deviation positive change in adequacy, therefore, results in 12.8 fewer days of virtual instruction. While our findings are descriptive, they do require future researchers to consider school spending adequacy, as much as any other factor, as a predictor of pandemic instructional models.
DOI: 10.3886/e230322v2
title: Strengthening Evidence on the Role of Funding Adequacy in School Opening During the COVID-19 Pandemic: A Response to Weber and Baker (2025)

description: This study is a response to Weber and Baker's (2025) study titled: "Does School Funding Matter in a Pandemic? COVID-19 Instructional Models and School Funding Adequacy."<br><br>The purpose of this study is to update Weber and Baker's (2025) original analysis by including a measure of local partisanship. This analytic decision is informed by the consistent finding in prior literature on COVID-19 and school reopening in the United States that partisanship is associated with reopening decisions (Singer, 2022). Weber and Baker did not include a measure of district partisanship in their original study.<br><br>This data repository includes original data files, code, and cleaned data (Stata format) for partisanship data by district (as measured by the Trump and Biden vote shares in 2020). It also includes code to replicate the analysis using Weber & Baker's data (available at the link below) and adds the partisanship measure.<br><br>Link to original Weber & Baker (2025) article: https://journals.sagepub.com/doi/10.1177/23328584251327581Link to original Weber & Baker (2025) data repository: https://doi.org/10.3886/E220523Singer, J. (2022). School reopening decisions during the COVID-19 pandemic: What can we learn from the emerging literature? Annenberg Working Paper Series. https://edworkingpapers.com/ai22-617
DOI: 10.15468/dl.waqfr3
title: Occurrence Download

description: A dataset containing 209 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Mali",
 "OccurrenceStatus is Present",
 "TaxonKey is Bombax costatum Pellegr. & Vuillet"
 ]
}

 The dataset includes 209 records from 11 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0008516-250515123054153/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.