cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15468/dl.tz59h4
title: Occurrence Download

description: A dataset containing 31 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Thailand",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Megathyrsus maximus"
 ]
}

 The dataset includes 31 records from 6 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0004513-260208012135463/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.g4m3w8
title: Occurrence Download

description: A dataset containing 1 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Isonandra zeylanica",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is Fossil"
 ]
 }
 }
 ]
}

 The dataset includes 1 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0004515-260208012135463/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.dxqabk
title: Occurrence Download

description: A dataset containing 1 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Hemibrycon tridens",
 "DecimalLatitude is not null",
 "DecimalLongitude is not null"
 ]
}

 The dataset includes 1 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0004516-260208012135463/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.g2d6e7
title: Occurrence Download

description: A dataset containing 436 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Pseudocercospora fijiensis"
 ]
}

 The dataset includes 436 records from 24 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0004517-260208012135463/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.w5wed6
title: Occurrence Download

description: A dataset containing 13 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((82.80334 5.91512,118.19666 5.91512,118.19666 20.08488,82.80334 20.08488,82.80334 5.91512))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Mansonia gagei"
 ]
}

 The dataset includes 13 records from 6 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0004518-260208012135463/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.wcn6g9
title: Occurrence Download

description: A dataset containing 14615 records in GBIF matching the query:

 SELECT gbifid, datasetkey, specieskey, kingdom, phylum, class, "order", family, genus, species, scientificname, decimallatitude, decimallongitude, eventdate, institutioncode, "year" AS obs_year, basisofrecord, coordinateuncertaintyinmeters, issue
 FROM occurrence
 WHERE
 decimallatitude IS NOT NULL
 AND decimallongitude IS NOT NULL
 AND NOT ARRAY_CONTAINS(issue, 'ZERO_COORDINATE')
 AND NOT ARRAY_CONTAINS(issue, 'COORDINATE_OUT_OF_RANGE')
 AND NOT ARRAY_CONTAINS(issue, 'COORDINATE_INVALID')
 AND NOT ARRAY_CONTAINS(issue, 'COUNTRY_COORDINATE_MISMATCH')
 AND "year" &gt;= 2015
 AND "year" &lt;= 2026
 AND coordinateuncertaintyinmeters IS NOT NULL
 AND coordinateuncertaintyinmeters &gt; 0
 AND coordinateuncertaintyinmeters &lt;= 200.0
 AND decimallatitude &gt;= 56.135291543055025
 AND decimallatitude &lt;= 61.2993700571118
 AND decimallongitude &gt;= -118.65636510707594
 AND decimallongitude &lt;= -100.73714263693424
 AND GBIF_Within('POLYGON ((-100.737143 56.135292, -100.737143 61.299370, -118.656365 61.299370, -118.656365 56.135292, -100.737143 56.135292))', decimallatitude, decimallongitude) = TRUE
 

 The dataset's 14615 records were derived from 7 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0004503-260208012135463/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.31303003
title: Additional file 5 of Population differences in reproductive resource allocation and heterosis in the invasive vector Aedes albopictus

description: Additional file 5.
DOI: 10.6084/m9.figshare.31303003.v1
title: Additional file 5 of Population differences in reproductive resource allocation and heterosis in the invasive vector Aedes albopictus

description: Additional file 5.
DOI: 10.15468/dl.zmvn33
title: Occurrence Download

description: A dataset containing 85 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Thailand",
 "TaxonKey is Pinus kesiya"
 ]
}

 The dataset includes 85 records from 19 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0004519-260208012135463/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.31303036
title: Supplementary Material for: Treatment With Daratumumab in Combination with Glucocorticosteroids as First Line Treatment Achieves a Complete Remission for a Patient with Multiple Myeloma and Resolves Neutropenia: A Case Report

description: Introduction
Multiple myeloma (MM) is a bone marrow (BM) malignancy of plasma cells that can be treated with monoclonal antibodies (mAbs) including daratumumab. This monoclonal antibody binds to CD38 proteins expressed on MM cells, allowing the immune system to recognize and kill these tumor cells. 
Neutropenia is a common complication in MM, often attributed to the disease itself or treatment with agents such as immunomodulatory drugs (IMiDs). However, its resolution with first-line monoclonal antibody therapy has not previously been reported.

Case Presentation
We report a case of a 32-year-old Filipino female with smoldering MM. She developed neutropenia and as a result was treated with a combination of daratumumab and glucocorticosteroids. She achieved a complete remission (CR) and her absolute neutrophil count normalized. The treatment was well tolerated with no adverse effects reported, and the patient remains in CR after more than three years of therapy. 

Discussion
This case highlights the potential for daratumumab combined with glucocorticosteroids alone to effectively manage a patient’s MM and severe neutropenia, suggesting a dual therapeutic benefit without treatment-related toxicity. Our findings support the consideration of daratumumab and glucocorticosteroids as a viable first-line therapeutic option for patients with MM who develop neutropenia.
DOI: 10.6084/m9.figshare.31303036.v1
title: Supplementary Material for: Treatment With Daratumumab in Combination with Glucocorticosteroids as First Line Treatment Achieves a Complete Remission for a Patient with Multiple Myeloma and Resolves Neutropenia: A Case Report

description: Introduction
Multiple myeloma (MM) is a bone marrow (BM) malignancy of plasma cells that can be treated with monoclonal antibodies (mAbs) including daratumumab. This monoclonal antibody binds to CD38 proteins expressed on MM cells, allowing the immune system to recognize and kill these tumor cells. 
Neutropenia is a common complication in MM, often attributed to the disease itself or treatment with agents such as immunomodulatory drugs (IMiDs). However, its resolution with first-line monoclonal antibody therapy has not previously been reported.

Case Presentation
We report a case of a 32-year-old Filipino female with smoldering MM. She developed neutropenia and as a result was treated with a combination of daratumumab and glucocorticosteroids. She achieved a complete remission (CR) and her absolute neutrophil count normalized. The treatment was well tolerated with no adverse effects reported, and the patient remains in CR after more than three years of therapy. 

Discussion
This case highlights the potential for daratumumab combined with glucocorticosteroids alone to effectively manage a patient’s MM and severe neutropenia, suggesting a dual therapeutic benefit without treatment-related toxicity. Our findings support the consideration of daratumumab and glucocorticosteroids as a viable first-line therapeutic option for patients with MM who develop neutropenia.
DOI: 10.15468/dl.dbdbpe
title: Occurrence Download

description: A dataset containing 4 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Lasianthus neolanceolatus",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is Fossil"
 ]
 }
 }
 ]
}

 The dataset includes 4 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0004520-260208012135463/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.31303037
title: Additional file 2 of Running into the Lyme-light: a retrospective cross-sectional study of tick bites and Lyme disease prevalence, incidence, and prevention in hill runners, Scotland, UK.

description: Supplementary Material 2.
DOI: 10.6084/m9.figshare.31303037.v1
title: Additional file 2 of Running into the Lyme-light: a retrospective cross-sectional study of tick bites and Lyme disease prevalence, incidence, and prevention in hill runners, Scotland, UK.

description: Supplementary Material 2.
DOI: 10.6084/m9.figshare.31303040
title: Additional file 3 of Running into the Lyme-light: a retrospective cross-sectional study of tick bites and Lyme disease prevalence, incidence, and prevention in hill runners, Scotland, UK.

description: Supplementary Material 3.
DOI: 10.6084/m9.figshare.31303040.v1
title: Additional file 3 of Running into the Lyme-light: a retrospective cross-sectional study of tick bites and Lyme disease prevalence, incidence, and prevention in hill runners, Scotland, UK.

description: Supplementary Material 3.
DOI: 10.3535/79v-v6w-wt1
title: Vertebrata

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.6084/m9.figshare.31303046
title: Additional file 4 of Running into the Lyme-light: a retrospective cross-sectional study of tick bites and Lyme disease prevalence, incidence, and prevention in hill runners, Scotland, UK.

description: Supplementary Material 4.
DOI: 10.6084/m9.figshare.31303046.v1
title: Additional file 4 of Running into the Lyme-light: a retrospective cross-sectional study of tick bites and Lyme disease prevalence, incidence, and prevention in hill runners, Scotland, UK.

description: Supplementary Material 4.
DOI: 10.6084/m9.figshare.31303042
title: Supplementary Material for: Identifying Post-Surgical Recurrence Subtype of T1 Stage Colorectal Cancer by Machine Learning

description: Introduction: Traditional risk stratification heavily relies on expert judgment and manually established thresholds. This study aims to automatically identify subtypes in the patients of T1-stage colorectal cancer with distinct clinicopathologic characteristics and recurrence risk profiles, using machine learning.
Methods: We analyzed data from 3,367 patients (mean follow-up, 1281 days) with T1 colorectal cancer who underwent surgical resection between 2009 and 2016 across 27 high-volume core Japanese institutions. Patients were split into derivation and test datasets (4:1 ratio). Hierarchical clustering was employed to identify recurrence subtypes in the derivation dataset. Machine learning classifiers were developed and validated on the test dataset. Co-occurrence and Bayesian network analyses aided interpretation.
Results: Three distinct subtypes were identified: two high-risk (subtypes 1 and 2) and one low-risk (subtype 3). Subtype 1 was predominantly associated with polypoid morphology (94.8%), whereas subtype 2 was characterized by flat morphology (89.4%). Subtype 2 showed a relatively consistent presence across most factors, with comparable levels of lymphatic invasion, vascular invasion and tumor budding. Subtype 3 shared similarities with subtype 1 in polypoid morphology (76.5%) but differed in other factors. These findings showed similar trend on the test dataset. Subtype-specific risk factors included lymphovascular invasion and nodal metastasis in both high-risk subtypes, while rectal location was unique to subtype 1 and polypoid morphology and large size were specific to subtype 2.
Conclusions: This machine learning approach identified three distinct recurrence subtypes of T1 colorectal cancer, each with unique characteristics and risk profiles, indicating the potential value of subtype-specific clinical strategies.
DOI: 10.6084/m9.figshare.31303042.v1
title: Supplementary Material for: Identifying Post-Surgical Recurrence Subtype of T1 Stage Colorectal Cancer by Machine Learning

description: Introduction: Traditional risk stratification heavily relies on expert judgment and manually established thresholds. This study aims to automatically identify subtypes in the patients of T1-stage colorectal cancer with distinct clinicopathologic characteristics and recurrence risk profiles, using machine learning.
Methods: We analyzed data from 3,367 patients (mean follow-up, 1281 days) with T1 colorectal cancer who underwent surgical resection between 2009 and 2016 across 27 high-volume core Japanese institutions. Patients were split into derivation and test datasets (4:1 ratio). Hierarchical clustering was employed to identify recurrence subtypes in the derivation dataset. Machine learning classifiers were developed and validated on the test dataset. Co-occurrence and Bayesian network analyses aided interpretation.
Results: Three distinct subtypes were identified: two high-risk (subtypes 1 and 2) and one low-risk (subtype 3). Subtype 1 was predominantly associated with polypoid morphology (94.8%), whereas subtype 2 was characterized by flat morphology (89.4%). Subtype 2 showed a relatively consistent presence across most factors, with comparable levels of lymphatic invasion, vascular invasion and tumor budding. Subtype 3 shared similarities with subtype 1 in polypoid morphology (76.5%) but differed in other factors. These findings showed similar trend on the test dataset. Subtype-specific risk factors included lymphovascular invasion and nodal metastasis in both high-risk subtypes, while rectal location was unique to subtype 1 and polypoid morphology and large size were specific to subtype 2.
Conclusions: This machine learning approach identified three distinct recurrence subtypes of T1 colorectal cancer, each with unique characteristics and risk profiles, indicating the potential value of subtype-specific clinical strategies.
DOI: 10.6084/m9.figshare.31303045
title: Additional file 2 of baal-nf identifies motif-disrupting variants that decrease transcription factor binding affinity

description: Additional file 2: Table S1. Accessory motif matches to JASPAR database for FOXA1 NoPeak motifs.
DOI: 10.6084/m9.figshare.31303045.v1
title: Additional file 2 of baal-nf identifies motif-disrupting variants that decrease transcription factor binding affinity

description: Additional file 2: Table S1. Accessory motif matches to JASPAR database for FOXA1 NoPeak motifs.
DOI: 10.6084/m9.figshare.31303051
title: Additional file 3 of baal-nf identifies motif-disrupting variants that decrease transcription factor binding affinity

description: Additional file 3: Table S2. Summary statistics for different SNP groups mapping to all 15 high-quality motifs found for FOXA1.
DOI: 10.6084/m9.figshare.31303051.v1
title: Additional file 3 of baal-nf identifies motif-disrupting variants that decrease transcription factor binding affinity

description: Additional file 3: Table S2. Summary statistics for different SNP groups mapping to all 15 high-quality motifs found for FOXA1.
DOI: 10.6084/m9.figshare.31303054
title: Additional file 4 of baal-nf identifies motif-disrupting variants that decrease transcription factor binding affinity

description: Additional file 4: Table S3. baal-nf output for all heterozygous SNPs tested in FOXA1 run across 156 ChIP-seq samples.
DOI: 10.6084/m9.figshare.31303054.v1
title: Additional file 4 of baal-nf identifies motif-disrupting variants that decrease transcription factor binding affinity

description: Additional file 4: Table S3. baal-nf output for all heterozygous SNPs tested in FOXA1 run across 156 ChIP-seq samples.
DOI: 10.6084/m9.figshare.31303057
title: Additional file 5 of baal-nf identifies motif-disrupting variants that decrease transcription factor binding affinity

description: Additional file 5: Table S4. Sample list & accession numbers from ENCODE/ChIP-ATLAS for 558 TF run.
DOI: 10.6084/m9.figshare.31303057.v1
title: Additional file 5 of baal-nf identifies motif-disrupting variants that decrease transcription factor binding affinity

description: Additional file 5: Table S4. Sample list & accession numbers from ENCODE/ChIP-ATLAS for 558 TF run.
DOI: 10.6084/m9.figshare.31303060
title: Additional file 6 of baal-nf identifies motif-disrupting variants that decrease transcription factor binding affinity

description: Additional file 6: Table S5. baal-nf output for all ASBs called across 558 TFs and 6017 ChIP-Seq samples.
DOI: 10.6084/m9.figshare.31303060.v1
title: Additional file 6 of baal-nf identifies motif-disrupting variants that decrease transcription factor binding affinity

description: Additional file 6: Table S5. baal-nf output for all ASBs called across 558 TFs and 6017 ChIP-Seq samples.
DOI: 10.6084/m9.figshare.31303066
title: Additional file 7 of baal-nf identifies motif-disrupting variants that decrease transcription factor binding affinity

description: Additional file 7: Table S6. High-quality ASB set discovered by baal-nf with ENSEMBL/OpenTargets annotation.
DOI: 10.6084/m9.figshare.31303066.v1
title: Additional file 7 of baal-nf identifies motif-disrupting variants that decrease transcription factor binding affinity

description: Additional file 7: Table S6. High-quality ASB set discovered by baal-nf with ENSEMBL/OpenTargets annotation.
DOI: 10.6084/m9.figshare.31303069
title: Additional file 8 of baal-nf identifies motif-disrupting variants that decrease transcription factor binding affinity

description: Additional file 8: Table S7. Median non-ASB comparator set for high-quality ASBs with ENSEMBL/OpenTargets annotation.
DOI: 10.6084/m9.figshare.31303069.v1
title: Additional file 8 of baal-nf identifies motif-disrupting variants that decrease transcription factor binding affinity

description: Additional file 8: Table S7. Median non-ASB comparator set for high-quality ASBs with ENSEMBL/OpenTargets annotation.
DOI: 10.6084/m9.figshare.31303072
title: Additional file 9 of baal-nf identifies motif-disrupting variants that decrease transcription factor binding affinity

description: Additional file 9: Table S8. Low-quality ASB set discovered by baal-nf with ENSEMBL/OpenTargets annotation.
DOI: 10.6084/m9.figshare.31303072.v1
title: Additional file 9 of baal-nf identifies motif-disrupting variants that decrease transcription factor binding affinity

description: Additional file 9: Table S8. Low-quality ASB set discovered by baal-nf with ENSEMBL/OpenTargets annotation.
DOI: 10.6084/m9.figshare.31303075
title: Additional file 10 of baal-nf identifies motif-disrupting variants that decrease transcription factor binding affinity

description: Additional file 10: Table S9. Median non-ASB comparator set for low-quality ASBs with ENSEMBL/OpenTargets annotation.
DOI: 10.6084/m9.figshare.31303075.v1
title: Additional file 10 of baal-nf identifies motif-disrupting variants that decrease transcription factor binding affinity

description: Additional file 10: Table S9. Median non-ASB comparator set for low-quality ASBs with ENSEMBL/OpenTargets annotation.
DOI: 10.6084/m9.figshare.31303078
title: Additional file 11 of baal-nf identifies motif-disrupting variants that decrease transcription factor binding affinity

description: Additional file 11: Table S10. Motif metadata across all investigated motifs and 558 TFs.
DOI: 10.6084/m9.figshare.31303078.v1
title: Additional file 11 of baal-nf identifies motif-disrupting variants that decrease transcription factor binding affinity

description: Additional file 11: Table S10. Motif metadata across all investigated motifs and 558 TFs.
DOI: 10.6084/m9.figshare.31303081
title: Additional file 12 of baal-nf identifies motif-disrupting variants that decrease transcription factor binding affinity

description: Additional file 12: Table S11. Accessory NoPeak motifs discovered by baal-nf.
DOI: 10.6084/m9.figshare.31303081.v1
title: Additional file 12 of baal-nf identifies motif-disrupting variants that decrease transcription factor binding affinity

description: Additional file 12: Table S11. Accessory NoPeak motifs discovered by baal-nf.
DOI: 10.6084/m9.figshare.31303112
title: Additional file 1 of Modern microbialites harbor an undescribed diversity of chromerid algae

description: Supplementary Material 1. Similarity scores of the recovered 18S rRNA Genes to Chromera velia and Vitrella brassicaformis generated using BLASTn
DOI: 10.6084/m9.figshare.31303112.v1
title: Additional file 1 of Modern microbialites harbor an undescribed diversity of chromerid algae

description: Supplementary Material 1. Similarity scores of the recovered 18S rRNA Genes to Chromera velia and Vitrella brassicaformis generated using BLASTn
DOI: 10.15468/dl.mqurpd
title: Occurrence Download

description: A dataset containing 5 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Hemigrammus aguaruna",
 "DecimalLatitude is not null",
 "DecimalLongitude is not null"
 ]
}

 The dataset includes 5 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0004521-260208012135463/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.31303157
title: Additional file 4 of Beyond poverty, tungiasis is associated with family characteristics and parenting behavior: a case control study in Kenya

description: Additional file 4. Elson et al. Household Dataset.xlsx Description: Microsoft excel workbook containing data and associated codebook for data collected February 2020-April 2021 during interviews of caregivers in Kwale and Siaya counties of Kenya. Contains 243 variables for 697 observations, 621Kb.
DOI: 10.6084/m9.figshare.31303157.v1
title: Additional file 4 of Beyond poverty, tungiasis is associated with family characteristics and parenting behavior: a case control study in Kenya

description: Additional file 4. Elson et al. Household Dataset.xlsx Description: Microsoft excel workbook containing data and associated codebook for data collected February 2020-April 2021 during interviews of caregivers in Kwale and Siaya counties of Kenya. Contains 243 variables for 697 observations, 621Kb.
DOI: 10.6084/m9.figshare.31303160
title: Additional file 5 of Beyond poverty, tungiasis is associated with family characteristics and parenting behavior: a case control study in Kenya

description: Additional file 5. Elson et al. Pupil dataset 28052025.xlsx Description: Microsoft excel workbook containing data and associated codebook for data collected February 2020-April 2021 during interviews of pupils in Kwale and Siaya counties of Kenya. Contains 64 variables for 395 observations, 174 Kb.
DOI: 10.6084/m9.figshare.31303160.v1
title: Additional file 5 of Beyond poverty, tungiasis is associated with family characteristics and parenting behavior: a case control study in Kenya

description: Additional file 5. Elson et al. Pupil dataset 28052025.xlsx Description: Microsoft excel workbook containing data and associated codebook for data collected February 2020-April 2021 during interviews of pupils in Kwale and Siaya counties of Kenya. Contains 64 variables for 395 observations, 174 Kb.