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

description: A dataset containing 136527 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON ((11.39511 48.03341, 11.74565 48.03341, 11.74565 48.2406, 11.39511 48.2406, 11.39511 48.03341))",
 "Year is greater than or equal to 2010",
 "HasGeospatialIssue is false",
 "TaxonKey is Aves",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen, Specimen)"
 ]
 }
 }
 ]
}

 The dataset includes 136527 records from 17 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0042469-240906103802322/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.27173504
title: Additional file 2 of Immediate post-discharge care among US adults hospitalized with respiratory syncytial virus infection

description: Supplementary Material 2
DOI: 10.6084/m9.figshare.27173504.v1
title: Additional file 2 of Immediate post-discharge care among US adults hospitalized with respiratory syncytial virus infection

description: Supplementary Material 2
DOI: 10.6084/m9.figshare.27173502.v1
title: Additional file 3 of Growth of sulfate-reducing Desulfobacterota and Bacillota at periodic oxygen stress of 50% air-O2 saturation

description: Supplementary Material 3: Supplementary Table S1. Relative abundance of amplicon sequence variants (ASVs) that affiliated with known and putative sulfate-reducing bacteria. Supplementary Table S2. Basic genome characteristics of the metagenome assembled genomes (MAGs) that were assigned to sulfate-reducing bacteria. Supplementary Table S3. Annotations and global transcriptional activity (reads per kilobase million, RPKM) of Desulfosporosinus MAG BO167. Supplementary Table S4. Annotations and global transcriptional activity (reads per kilobase million, RPKM) of Desulfosporosinus MAG BO295. Supplementary Table S5. Annotations and global transcriptional activity (reads per kilobase million, RPKM) of Desulfosporosinus MAG CO4. Supplementary Table S6. Annotations and global transcriptional activity (reads per kilobase million, RPKM) of Humidesulfovibrio MAG BO58. Supplementary Table S7. Annotations and global transcriptional activity (reads per kilobase million, RPKM) of Syntrophobacteraceae SbD1 MAG BA69. Supplementary Table S8. Annotations and global transcriptional activity (reads per kilobase million, RPKM) of Syntrophobacteraceae SbD1 MAG BA129. Supplementary Table S9. Annotations and global transcriptional activity (reads per kilobase million, RPKM) of Desulfomonilaceae CAJBEZ01 MAG BA410. Supplementary Table S10. Annotations and global transcriptional activity (reads per kilobase million, RPKM) of Desulfocapsaceae CAIUQR01 MAG CA64. Supplementary Table S11. Transcription levels (RPKM) of ribosomal protein-encoding genes used to normalize transcriptional activity as presented in Figure 5 and Figure 6. Supplementary Table S12. Annotations and global transcriptional activity (reads per kilobase million, RPKM) of genes that encode proteins involved in oxygen reduction, reactive oxygen species (ROS) detoxification and protein repair. Genes were collected from five SRB-MAGs affiliating with the Desulfobacterota and three SRB-MAGs affiliating with the Bacillota.
DOI: 10.6084/m9.figshare.27173502
title: Additional file 3 of Growth of sulfate-reducing Desulfobacterota and Bacillota at periodic oxygen stress of 50% air-O2 saturation

description: Supplementary Material 3: Supplementary Table S1. Relative abundance of amplicon sequence variants (ASVs) that affiliated with known and putative sulfate-reducing bacteria. Supplementary Table S2. Basic genome characteristics of the metagenome assembled genomes (MAGs) that were assigned to sulfate-reducing bacteria. Supplementary Table S3. Annotations and global transcriptional activity (reads per kilobase million, RPKM) of Desulfosporosinus MAG BO167. Supplementary Table S4. Annotations and global transcriptional activity (reads per kilobase million, RPKM) of Desulfosporosinus MAG BO295. Supplementary Table S5. Annotations and global transcriptional activity (reads per kilobase million, RPKM) of Desulfosporosinus MAG CO4. Supplementary Table S6. Annotations and global transcriptional activity (reads per kilobase million, RPKM) of Humidesulfovibrio MAG BO58. Supplementary Table S7. Annotations and global transcriptional activity (reads per kilobase million, RPKM) of Syntrophobacteraceae SbD1 MAG BA69. Supplementary Table S8. Annotations and global transcriptional activity (reads per kilobase million, RPKM) of Syntrophobacteraceae SbD1 MAG BA129. Supplementary Table S9. Annotations and global transcriptional activity (reads per kilobase million, RPKM) of Desulfomonilaceae CAJBEZ01 MAG BA410. Supplementary Table S10. Annotations and global transcriptional activity (reads per kilobase million, RPKM) of Desulfocapsaceae CAIUQR01 MAG CA64. Supplementary Table S11. Transcription levels (RPKM) of ribosomal protein-encoding genes used to normalize transcriptional activity as presented in Figure 5 and Figure 6. Supplementary Table S12. Annotations and global transcriptional activity (reads per kilobase million, RPKM) of genes that encode proteins involved in oxygen reduction, reactive oxygen species (ROS) detoxification and protein repair. Genes were collected from five SRB-MAGs affiliating with the Desulfobacterota and three SRB-MAGs affiliating with the Bacillota.
DOI: 10.6084/m9.figshare.27173505
title: Additional file 4 of Growth of sulfate-reducing Desulfobacterota and Bacillota at periodic oxygen stress of 50% air-O2 saturation

description: Supplementary Material 4.
DOI: 10.6084/m9.figshare.27173505.v1
title: Additional file 4 of Growth of sulfate-reducing Desulfobacterota and Bacillota at periodic oxygen stress of 50% air-O2 saturation

description: Supplementary Material 4.
DOI: 10.15468/dl.jfqs47
title: Occurrence Download

description: A dataset containing 192098 species occurrences available in GBIF matching the query:
{
 "and" : [
 "DatasetKey is iNaturalist Research-grade Observations",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Country is one of (Canada, Mexico, United States of America)",
 "EventDate is greater than or equal to 2024-09-09",
 "EventDate is less than or equal to 2024-10-09",
 {
 "not" : {
 "Issue" : [
 "is one of (Basis of record invalid, Coordinate reprojection failed, Coordinate reprojection suspicious, Coordinate precision invalid, Coordinate uncertainty meters invalid, Country mismatch, Country invalid, Geodetic datum invalid, Presumed swapped coordinate, Presumed negated longitude, Presumed negated latitude, Country coordinate mismatch)"
 ]
 }
 }
 ]
}

 The dataset includes 192098 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0042453-240906103802322/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.27173532
title: Additional file 2 of CLN3 transcript complexity revealed by long-read RNA sequencing analysis

description: Supplementary Material 2.
DOI: 10.6084/m9.figshare.27173532.v1
title: Additional file 2 of CLN3 transcript complexity revealed by long-read RNA sequencing analysis

description: Supplementary Material 2.
DOI: 10.6084/m9.figshare.27173534
title: Additional file 2 of Vocal usage learning and vocal comprehension learning in harbor seals

description: Supplementary Material 2
DOI: 10.6084/m9.figshare.27173534.v1
title: Additional file 2 of Vocal usage learning and vocal comprehension learning in harbor seals

description: Supplementary Material 2
DOI: 10.6084/m9.figshare.27173552
title: Additional file 1 of Safety and efficacy of PCSK9 inhibitors and effect on coronary plaque phenotype in statin-treated patients following acute coronary syndrome: a systematic review and meta-analysis

description: Additional file 1
DOI: 10.6084/m9.figshare.27173552.v1
title: Additional file 1 of Safety and efficacy of PCSK9 inhibitors and effect on coronary plaque phenotype in statin-treated patients following acute coronary syndrome: a systematic review and meta-analysis

description: Additional file 1
DOI: 10.6084/m9.figshare.27173547
title: Additional file 2 of External validation of an artificial intelligence multi-label deep learning model capable of ankle fracture classification

description: Supplementary Material 2.
DOI: 10.6084/m9.figshare.27173547.v1
title: Additional file 2 of External validation of an artificial intelligence multi-label deep learning model capable of ankle fracture classification

description: Supplementary Material 2.
DOI: 10.6084/m9.figshare.27173550.v1
title: Additional file 3 of External validation of an artificial intelligence multi-label deep learning model capable of ankle fracture classification

description: Supplementary Material 3.
DOI: 10.6084/m9.figshare.27173550
title: Additional file 3 of External validation of an artificial intelligence multi-label deep learning model capable of ankle fracture classification

description: Supplementary Material 3.
DOI: 10.6084/m9.figshare.27173553
title: Additional file 4 of External validation of an artificial intelligence multi-label deep learning model capable of ankle fracture classification

description: Supplementary Material 4.
DOI: 10.6084/m9.figshare.27173553.v1
title: Additional file 4 of External validation of an artificial intelligence multi-label deep learning model capable of ankle fracture classification

description: Supplementary Material 4.
DOI: 10.6084/m9.figshare.27173577
title: Additional file 2 of Engineering of Aspergillus niger for efficient production of d-xylitol from l-arabinose

description: Supplementary File 2.
DOI: 10.6084/m9.figshare.27173577.v1
title: Additional file 2 of Engineering of Aspergillus niger for efficient production of d-xylitol from l-arabinose

description: Supplementary File 2.
DOI: 10.6084/m9.figshare.27173582
title: Additional file 1 of Vertical root fracture detection with cone-beam computed tomography in Biodentine™ filled teeth

description: Supplementary Material 1
DOI: 10.6084/m9.figshare.27173582.v1
title: Additional file 1 of Vertical root fracture detection with cone-beam computed tomography in Biodentine™ filled teeth

description: Supplementary Material 1
DOI: 10.6084/m9.figshare.27173585
title: Additional file 2 of Vertical root fracture detection with cone-beam computed tomography in Biodentine™ filled teeth

description: Supplementary Material 2
DOI: 10.6084/m9.figshare.27173585.v1
title: Additional file 2 of Vertical root fracture detection with cone-beam computed tomography in Biodentine™ filled teeth

description: Supplementary Material 2
DOI: 10.6084/m9.figshare.27173603
title: Additional file 2 of Visceral adiposity in postmenopausal women is associated with a pro-inflammatory gut microbiome and immunogenic metabolic endotoxemia

description: Supplementary Material 2: Supplemental Figure S1. Group 2 (Red box/blue circles): Highest Year 17 VAT +VAT gain since Year 5 subjects (n=25). Group 1 (Black box/red circles): Lowest Year 17 VAT +VAT loss since Year 5 subjects (n=25). 4 underweight (BMI&lt;18.5; grey #) in lower left corner. Supplemental Figure S2. 3 participants had detectable levels of either amoxicillin (antiobiotic targeting Gram-positive bacteria) or clindamycin (antibiotic targeting both Gram-positive and Gram-negative bacteria) and were excluded from further analysis. Supplemental Figure S3. Read statistics. Metagenomic read depth varied from 8.4M to 39M per sample. Supplemental Figure S4. Anti- Lipoteichoic acid (LTA) IgA and anti-flagellin IgA levels increased significantly in the high VAT group. A. No significant difference in anti-LTA IgG levels between the VAT groups. B. High VAT group showed significantly higher anti-LTA IgA. C. No significant difference in the levels of anti-flagellin IgG between the VAT groups. D. Anti-flagellin IgA was significantly higher in the high VAT group. Supplemental Figure S5. Select adiposity-associated motile bacteria correlated with anti-flagellin IgA while no LTA-containing bacteria correlated with anti-LTA antibodies. A. Correlation matrix of LTA-containing bacteria that are significantly associated with body anthropometric measures. Bacteria are presented in ascending order of p value for association with BMI (p&lt;0.05). No bacteria showed any correlation with anti-LTA antibodies. B. Correlation matrix of motile bacteria that are significantly associated with body anthropometric measures (p&lt;0.05). Bacteria in bold are those that significantly correlated with both BMI and anti-flagellin IgA production.
DOI: 10.6084/m9.figshare.27173603.v1
title: Additional file 2 of Visceral adiposity in postmenopausal women is associated with a pro-inflammatory gut microbiome and immunogenic metabolic endotoxemia

description: Supplementary Material 2: Supplemental Figure S1. Group 2 (Red box/blue circles): Highest Year 17 VAT +VAT gain since Year 5 subjects (n=25). Group 1 (Black box/red circles): Lowest Year 17 VAT +VAT loss since Year 5 subjects (n=25). 4 underweight (BMI&lt;18.5; grey #) in lower left corner. Supplemental Figure S2. 3 participants had detectable levels of either amoxicillin (antiobiotic targeting Gram-positive bacteria) or clindamycin (antibiotic targeting both Gram-positive and Gram-negative bacteria) and were excluded from further analysis. Supplemental Figure S3. Read statistics. Metagenomic read depth varied from 8.4M to 39M per sample. Supplemental Figure S4. Anti- Lipoteichoic acid (LTA) IgA and anti-flagellin IgA levels increased significantly in the high VAT group. A. No significant difference in anti-LTA IgG levels between the VAT groups. B. High VAT group showed significantly higher anti-LTA IgA. C. No significant difference in the levels of anti-flagellin IgG between the VAT groups. D. Anti-flagellin IgA was significantly higher in the high VAT group. Supplemental Figure S5. Select adiposity-associated motile bacteria correlated with anti-flagellin IgA while no LTA-containing bacteria correlated with anti-LTA antibodies. A. Correlation matrix of LTA-containing bacteria that are significantly associated with body anthropometric measures. Bacteria are presented in ascending order of p value for association with BMI (p&lt;0.05). No bacteria showed any correlation with anti-LTA antibodies. B. Correlation matrix of motile bacteria that are significantly associated with body anthropometric measures (p&lt;0.05). Bacteria in bold are those that significantly correlated with both BMI and anti-flagellin IgA production.
DOI: 10.6084/m9.figshare.27173606
title: Additional file 1 of The goat pan-genome reveals patterns of gene loss during domestication

description: Additional file 1: Table S1. Summary of samples used in Pan-genome construction. Table S2. Summary of RNA samples for Pan-sequence Annotation. Table S3. Summary of samples used in PAV calling. Table S4. Protein-coding genes predicted in the non-reference genome of goat. Table S5. Gene list of significantly altered PAVs during goat domestication. Table S6. Gene list of significantly altered PAVs during goat improvement. Table S7. Comparison of the genome size and number of protein-coding genes between the goat pan-genome and other released genomes.
DOI: 10.6084/m9.figshare.27173606.v1
title: Additional file 1 of The goat pan-genome reveals patterns of gene loss during domestication

description: Additional file 1: Table S1. Summary of samples used in Pan-genome construction. Table S2. Summary of RNA samples for Pan-sequence Annotation. Table S3. Summary of samples used in PAV calling. Table S4. Protein-coding genes predicted in the non-reference genome of goat. Table S5. Gene list of significantly altered PAVs during goat domestication. Table S6. Gene list of significantly altered PAVs during goat improvement. Table S7. Comparison of the genome size and number of protein-coding genes between the goat pan-genome and other released genomes.
DOI: 10.6084/m9.figshare.27173622
title: Additional file 3 of Twin pregnancy and postpartum haemorrhage: a systematic review and meta-analysis

description: Supplementary Material 3.
DOI: 10.6084/m9.figshare.27173622.v1
title: Additional file 3 of Twin pregnancy and postpartum haemorrhage: a systematic review and meta-analysis

description: Supplementary Material 3.
DOI: 10.15468/dl.9knbwz
title: Occurrence Download

description: A dataset containing 112 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON ((8.95504 7.28644, 9.055523 7.28644, 9.055523 7.375685, 8.95504 7.375685, 8.95504 7.28644))",
 "Year is greater than or equal to 2010",
 "HasGeospatialIssue is false",
 "TaxonKey is Aves",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen, Specimen)"
 ]
 }
 }
 ]
}

 The dataset includes 112 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0042482-240906103802322/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ky6yus
title: Occurrence Download

description: A dataset containing 102 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "DatasetKey" : [
 "is Global database of alien macrofungi"
 ]
 }
 },
 "TaxonKey is Cydia piperana Kearfott, 1907"
 ]
}

 The dataset includes 102 records from 17 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0042481-240906103802322/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.xjm4a2
title: Occurrence Download

description: A dataset containing 641 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "DatasetKey" : [
 "is Global database of alien macrofungi"
 ]
 }
 },
 "TaxonKey is Argyrotaenia juglandana (Fernald, 1879)"
 ]
}

 The dataset includes 641 records from 18 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0042480-240906103802322/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.t8judq
title: Occurrence Download

description: A dataset containing 5755 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((111.61168 -8.38951,111.66976 -8.44759,112.38123 -8.48244,112.97074 -8.56665,113.00268 -8.44178,113.02301 -8.27335,113.09561 -8.05556,112.98816 -7.89584,112.88652 -7.92197,112.89814 -8.1601,112.81392 -7.63739,112.35219 -7.42249,111.82658 -7.61125,111.61168 -8.38951))",
 "TaxonKey is Plantae"
 ]
}

 The dataset includes 5755 records from 39 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0042483-240906103802322/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.1594/pangaea.872857
title: CLAM age model and pollen profile of sediment core EW9504-17PC
DOI: 10.1594/pangaea.872841
title: CLAM age model and pollen profile of sediment core 167-1019
DOI: 10.1594/pangaea.872930
title: CLAM age model and pollen profile of sediment core W8709A-8
DOI: 10.1594/pangaea.872919
title: CLAM age model and pollen profile of sediment core W8709A-13
DOI: 10.1594/pangaea.971330
title: Stable water isotopes of sea ice at biogeochemistry sites (BGC) and Main Coring Sites (MCS) during MOSAiC expedition, leg 1

description: Stable water isotopes (oxygen δ18O and hydrogen δD) of sea ice were measured on ice cores taken by the Biogeochemistry (BGC) team during MOSAIC as a basis for interpreting BGC parameters such as enclosed gases and biogechemical active ingredients (Damm et al., in prep.). Sea ice cores were collected at different BGC stations located on the main ice floe (Central Observatory, CO) and L1 and L2 sites in the Distributed Network of the MOSAiC expedition (Angelopoulos et al., 2021; Mellat et al., 2024) as well as at the Main Coring Sites (MCS) in a multiple team effort (Nicolaus et al., 2022). Level sea ice was categorized into types based on the age: sea ice which grew during the same winter referred to as First-Year-Ice (FYI); sea ice which had survived one or more summer melting periods referred to as Second-Year-Ice (SYI). Sea ice cores were collected using a Kovacs Mark II 9 cm diameter corer. The snow on top of the sea ice was brushed off the top of the cores to minimize the snow affecting the ice surface. Onboard RV Polarstern, the cores were cut in 10 cm sections using a handsaw at 4° C (leg 1) or an electric saw at -20° C (legs 2 and 3). During summer (leg 4) sectioning of cores was partly done in the field, while another part of the cores was transported frozen at -20°C and sectioned within 3 month onshore. Each section was transferred into a gas-tight TedlarTM bag. The closed bags were carefully degassed with a vacuum pump (NKF Neuberger, type N035). Melting occurred within 12 to 15 hours at about 15°C. After shaking the melted ice within the TedlarTM bags, discrete sampling started by first rising the melt water carefully through a Tygon tube connected with the opened valves of the gas-tight bags and then into prepared sample vials. Oxygen and hydrogen isotope analyses were carried out at the ISOLAB Facility at AWI Potsdam (https://hdl.handle.net/10013/sensor.ddc92f54-4c63-492d-81c7-696260694001) with mass spectrometers (DELTA-S Finnigan MAT, USA): https://hdl.handle.net/10013/sensor.af148dea-fe65-4c87-9744-50dc4c81f7c9 https://hdl.handle.net/10013/sensor.62e86761-9fae-4f12-9c10-9b245028ea4c employing the equilibration method (details in Meyer et al., 2000). δ18O and δD values are given in per mil (‰) vs. Vienna standard mean ocean water (V-SMOW) as the standard. The second order parameter d excess was computed according to: d-excess = δD-8 δ18O (Dansgaard, 1964).
description: In its current form there might be single cores from which isotope data was already published e.g. in Mellat et al, 2024.The dataset in its current form contains all data shown and discussed in Bauch et al, in prep.