cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6073/pasta/eb16a01a1b9b24a3ebb46170745f9e72
title: Santa Barbara Channel Marine BON: Nearshore kelp forest integrated taxa, 1980-ongoing

description: The Santa Barbara Channel Marine Biodiversity Network (SBC MBON) tracks long-term patterns in species abundance and diversity. By integrating research and monitoring efforts (both existing and de novo data), we provide a comprehensive view of biodiversity in the region. This dataset is a combined species list from four datasets currently handled and integrated by SBC MBON, with identifiers from an appropriate taxonomic registry included for each taxon. Because this species list reflects the integration of multiple collections, it will be updated as SBC MBON integration efforts develop. Santa Barbara Channel Marine BON: Integrated kelp forest/reef: Fish https://portal.edirepository.org/nis/mapbrowse?scope=edi&identifier=5&revision=newest Santa Barbara Channel Marine BON: Integrated kelp forest/reef: Quad and swath cover https://portal.edirepository.org/nis/mapbrowse?scope=edi&identifier=6&revision=newest Santa Barbara Channel Marine BON: Integrated kelp forest/reef: Benthic cover https://portal.edirepository.org/nis/mapbrowse?scope=edi&identifier=3&revision=newest As of 2018, this dataset contains approximately 400 taxa from combined observations beginning in 1980. Data include codes for the originating project and sampling method, plus basic taxonomic lineage. MBON is funded by National Aeronautics and Space Administration (NASA), Bureau of Ocean Energy Management (BOEM), and National Oceanic and Atmospheric Administration (NOAA). For users who are interested in using all or part of this integrated datasets, please contact data owners to discuss your research interests, data-related issues or any other questions. A recommended citation for the data package is available from the download page. In addition, any manuscript generated using this dataset is expected to be sent to the data owners before publication so we can be sure the data is used in the proper context and methods are reported accurately: Santa Barbara Coastal LTER (LTER): Dan Reed dan.reed@lifesci.ucsb.edu Robert Miller miller@msi.ucsb.edu Partnership for Interdisciplinary Studies of Coastal Oceans (PISCO): Jenn Caselle caselle@ucsb.edu Kelp forest monitoring (KFM): David Kushner david_kushner@nps.gov Joshua Sprague joshua_sprague@nps.gov San Nicolas Island monitoring (SNI): Kevin Lafferty Klafferty@usgs.gov Mike Kenner mkenner@ucsc.edu
DOI: 10.6084/m9.figshare.13358651
title: ORO Analysis shApoF shBcat.pzfx

description: Quantitative results of Oil-Red O-stained NSF cells (shControl, shBcat and shApoF) using ImageJ analysis
DOI: 10.6084/m9.figshare.13358651.v1
title: ORO Analysis shApoF shBcat.pzfx

description: Quantitative results of Oil-Red O-stained NSF cells (shControl, shBcat and shApoF) using ImageJ analysis
DOI: 10.5281/zenodo.4451758
title: Out-of-phase Decadal Change in Drought over Northeast China between Early Spring and Late Summer around 2000 and Its Linkage to the Atlantic Sea Surface Temperature

description: This file is for the upload of CN05.1 data for 2020JD034048R.
DOI: 10.5281/zenodo.4451757
title: Out-of-phase Decadal Change in Drought over Northeast China between Early Spring and Late Summer around 2000 and Its Linkage to the Atlantic Sea Surface Temperature

description: This file is for the upload of CN05.1 data for 2020JD034048R.
DOI: 10.6084/m9.figshare.13619453
title: Linescan Lidar of Aeolian Transport - Nov 2019, Duck, NC

description: This is a dataset of raw lidar returns using a Riegl VZ-2000 terrestrial laser scanner in linescan mode that was collected on 13 November 2019 at the US Army Engineer Research and Development Center's Field Research Facility (Duck, NC) for 300 s to characterize properties of wind driven sediment transport. The raw Riegl .rxp file and metadata header information providing the scanner configuration settings for this single scan are provided.A time series of co-located wind speeds measured 1 m above the bed are provided as a CSV file.
DOI: 10.6084/m9.figshare.13619453.v1
title: Linescan Lidar of Aeolian Transport - Nov 2019, Duck, NC

description: This is a dataset of raw lidar returns using a Riegl VZ-2000 terrestrial laser scanner in linescan mode that was collected on 13 November 2019 at the US Army Engineer Research and Development Center's Field Research Facility (Duck, NC) for 300 s to characterize properties of wind driven sediment transport. The raw Riegl .rxp file and metadata header information providing the scanner configuration settings for this single scan are provided.A time series of co-located wind speeds measured 1 m above the bed are provided as a CSV file.
DOI: 10.6084/m9.figshare.13619900.v1
title: Additional file 1 of Resorption of retromolar bone grafts after alveolar ridge augmentation—volumetric changes after 12 months assessed by CBCT analysis

description: Additional file 1.
DOI: 10.6084/m9.figshare.13619900
title: Additional file 1 of Resorption of retromolar bone grafts after alveolar ridge augmentation—volumetric changes after 12 months assessed by CBCT analysis

description: Additional file 1.
DOI: 10.6084/m9.figshare.13619929.v1
title: Additional file 2 of Choosing interventions to eliminate forest malaria: preliminary results of two operational research studies inside Cambodian forests

description: Additional file 2. De-identified study database.
DOI: 10.6084/m9.figshare.13619929
title: Additional file 2 of Choosing interventions to eliminate forest malaria: preliminary results of two operational research studies inside Cambodian forests

description: Additional file 2. De-identified study database.
DOI: 10.6084/m9.figshare.13619944
title: Additional file 2 of Effects of in IL-1B/IL-1RN variants on the susceptibility to head and neck cancer in a chinese Han population

description: Additional file 2: The results of genotype.
DOI: 10.6084/m9.figshare.13619944.v1
title: Additional file 2 of Effects of in IL-1B/IL-1RN variants on the susceptibility to head and neck cancer in a chinese Han population

description: Additional file 2: The results of genotype.
DOI: 10.6084/m9.figshare.13619954
title: Additional file 3 of Transcriptomic analysis of s-methoprene resistance in the lesser grain borer, Rhyzopertha dominica, and evaluation of piperonyl butoxide as a resistance breaker

description: Additional file 3: Table S1. Corresponding information regarding sequence identity of CYPs.
DOI: 10.6084/m9.figshare.13619960
title: Additional file 5 of Transcriptomic analysis of s-methoprene resistance in the lesser grain borer, Rhyzopertha dominica, and evaluation of piperonyl butoxide as a resistance breaker

description: Additional file 5: Table S3. Amino acid sequences used in the phylogenetic study of the R. dominica P450s, presented in Fig. 4.
DOI: 10.6084/m9.figshare.13619963
title: Additional file 6 of Transcriptomic analysis of s-methoprene resistance in the lesser grain borer, Rhyzopertha dominica, and evaluation of piperonyl butoxide as a resistance breaker

description: Additional file 6: Table S4. Primers used for the validation qPCRs.
DOI: 10.6084/m9.figshare.13619963.v1
title: Additional file 6 of Transcriptomic analysis of s-methoprene resistance in the lesser grain borer, Rhyzopertha dominica, and evaluation of piperonyl butoxide as a resistance breaker

description: Additional file 6: Table S4. Primers used for the validation qPCRs.
DOI: 10.6084/m9.figshare.13619957.v1
title: Additional file 4 of Transcriptomic analysis of s-methoprene resistance in the lesser grain borer, Rhyzopertha dominica, and evaluation of piperonyl butoxide as a resistance breaker

description: Additional file 4: Table S2. Details of all up- and down-regulated genes between the resistant Met-R and the susceptible Lab-S strains (padj 2).
DOI: 10.6084/m9.figshare.13619957
title: Additional file 4 of Transcriptomic analysis of s-methoprene resistance in the lesser grain borer, Rhyzopertha dominica, and evaluation of piperonyl butoxide as a resistance breaker

description: Additional file 4: Table S2. Details of all up- and down-regulated genes between the resistant Met-R and the susceptible Lab-S strains (padj 2).
DOI: 10.6084/m9.figshare.13619954.v1
title: Additional file 3 of Transcriptomic analysis of s-methoprene resistance in the lesser grain borer, Rhyzopertha dominica, and evaluation of piperonyl butoxide as a resistance breaker

description: Additional file 3: Table S1. Corresponding information regarding sequence identity of CYPs.
DOI: 10.6084/m9.figshare.13619960.v1
title: Additional file 5 of Transcriptomic analysis of s-methoprene resistance in the lesser grain borer, Rhyzopertha dominica, and evaluation of piperonyl butoxide as a resistance breaker

description: Additional file 5: Table S3. Amino acid sequences used in the phylogenetic study of the R. dominica P450s, presented in Fig. 4.
DOI: 10.6084/m9.figshare.13620026.v1
title: Additional file 1 of Mode and dynamics of vanA-type vancomycin resistance dissemination in Dutch hospitals

description: Additional file 1: Table S1. Metadata table related to the 309 vanA-type vancomycin-resistant Enterococcus faecium isolates. (CSV 20 kb)
DOI: 10.6084/m9.figshare.13620026
title: Additional file 1 of Mode and dynamics of vanA-type vancomycin resistance dissemination in Dutch hospitals

description: Additional file 1: Table S1. Metadata table related to the 309 vanA-type vancomycin-resistant Enterococcus faecium isolates. (CSV 20 kb)
DOI: 10.6084/m9.figshare.13620035
title: Additional file 4 of Mode and dynamics of vanA-type vancomycin resistance dissemination in Dutch hospitals

description: Additional file 4: Table S2. Genome assignments and metadata information of the 225 VRE isolates considered to estimate the most likely events of vanA dissemination. (CSV 16 kb)
DOI: 10.6084/m9.figshare.13620035.v1
title: Additional file 4 of Mode and dynamics of vanA-type vancomycin resistance dissemination in Dutch hospitals

description: Additional file 4: Table S2. Genome assignments and metadata information of the 225 VRE isolates considered to estimate the most likely events of vanA dissemination. (CSV 16 kb)
DOI: 10.6084/m9.figshare.13620043
title: Additional file 14 of The transcriptome-wide association search for genes and genetic variants which associate with BMI and gestational weight gain in women with type 1 diabetes

description: Additional file 14: Table S9a. Go Enrichment analysis on the overlap between BMI and GWG genes in T2D and ARIC cohorts.b. Go Enrichment analysis on BMI only associated genes in T2D and ARIC cohorts. c. Go Enrichment analysis on GWG only associated genes in T2D and ARIC cohorts.
DOI: 10.6084/m9.figshare.13620037.v1
title: Additional file 12 of The transcriptome-wide association search for genes and genetic variants which associate with BMI and gestational weight gain in women with type 1 diabetes

description: Additional file 12:Table S8a. Go Enrichment analysis on the overlap between BMI and GWG genes in the Giant cohort. b. Go Enrichment analysis on BMI only associated genes in the Giant cohort. c. Go Enrichment analysis on GWG only associated genes in the Giant cohort.
DOI: 10.6084/m9.figshare.13620058.v1
title: Additional file 4 of The transcriptome-wide association search for genes and genetic variants which associate with BMI and gestational weight gain in women with type 1 diabetes

description: Additional file 4: Table S3a. The results of PrediXcan on Giant cohort on BMI only. b. The results of PrediXcan on Giant cohort on BMI and GWG. c. The results of PrediXcan on Giant cohort on GWG only.
DOI: 10.6084/m9.figshare.13620043.v1
title: Additional file 14 of The transcriptome-wide association search for genes and genetic variants which associate with BMI and gestational weight gain in women with type 1 diabetes

description: Additional file 14: Table S9a. Go Enrichment analysis on the overlap between BMI and GWG genes in T2D and ARIC cohorts.b. Go Enrichment analysis on BMI only associated genes in T2D and ARIC cohorts. c. Go Enrichment analysis on GWG only associated genes in T2D and ARIC cohorts.
DOI: 10.6084/m9.figshare.13620052
title: Additional file 2 of The transcriptome-wide association search for genes and genetic variants which associate with BMI and gestational weight gain in women with type 1 diabetes

description: Additional file 2: Table S1a. The results of PrediXcan on BMI in T1D cohort in Subcutaneous Adipose Tissue. b. The results of PrediXcan on BMI in T1D cohort in Visceral Adipose Tissue. c. The results of PrediXcan on GWG in T1D cohort in Subcutaneous Adipose Tissue. d. The results of PrediXcan on GWG in T1D cohort in Visceral Adipose Tissue.
DOI: 10.6084/m9.figshare.13620067.v1
title: Additional file 7 of The transcriptome-wide association search for genes and genetic variants which associate with BMI and gestational weight gain in women with type 1 diabetes

description: Additional file 7: Table S4a.The results of PrediXcan on BMI in T2D cohort in Subcutaneous Adipose Tissue. b. The results of PrediXcan on BMI in T2D cohort in Visceral Adipose Tissue. c. The results of PrediXcan on BMI in ARIC cohort in Subcutaneous Adipose Tissue. d. The results of PrediXcan on BMI in ARIC cohort in Visceral Adipose Tissue.
DOI: 10.6084/m9.figshare.13620046
title: Additional file 15 of The transcriptome-wide association search for genes and genetic variants which associate with BMI and gestational weight gain in women with type 1 diabetes

description: Additional file 15: Figure S4a. Go Enrichment analysis on GWG only associated genes in T2D and ARIC cohorts. b. Go Enrichment analysis on the overlap between BMI and GWG genes in T2D and ARIC cohorts.
DOI: 10.6084/m9.figshare.13620040
title: Additional file 13 of The transcriptome-wide association search for genes and genetic variants which associate with BMI and gestational weight gain in women with type 1 diabetes

description: Additional file 13: Figure S3a. Go Enrichment analysis on GWG only associated genes in the Giant cohort. b. Go Enrichment analysis on the overlap between BMI and GWG genes in the Giant cohort.
DOI: 10.6084/m9.figshare.13620046.v1
title: Additional file 15 of The transcriptome-wide association search for genes and genetic variants which associate with BMI and gestational weight gain in women with type 1 diabetes

description: Additional file 15: Figure S4a. Go Enrichment analysis on GWG only associated genes in T2D and ARIC cohorts. b. Go Enrichment analysis on the overlap between BMI and GWG genes in T2D and ARIC cohorts.
DOI: 10.6084/m9.figshare.13620064.v1
title: Additional file 6 of The transcriptome-wide association search for genes and genetic variants which associate with BMI and gestational weight gain in women with type 1 diabetes

description: Additional file 6: Figure S1a. The LD analysis for GPN3 gene. b. The LD analysis for PMS2P3 gene. c. The LD analysis for STAG3L1 gene.
DOI: 10.6084/m9.figshare.13620067
title: Additional file 7 of The transcriptome-wide association search for genes and genetic variants which associate with BMI and gestational weight gain in women with type 1 diabetes

description: Additional file 7: Table S4a.The results of PrediXcan on BMI in T2D cohort in Subcutaneous Adipose Tissue. b. The results of PrediXcan on BMI in T2D cohort in Visceral Adipose Tissue. c. The results of PrediXcan on BMI in ARIC cohort in Subcutaneous Adipose Tissue. d. The results of PrediXcan on BMI in ARIC cohort in Visceral Adipose Tissue.
DOI: 10.6084/m9.figshare.13620070
title: Additional file 8 of The transcriptome-wide association search for genes and genetic variants which associate with BMI and gestational weight gain in women with type 1 diabetes

description: Additional file 8: Table S5a. The results of PrediXcan on T2D&ARIC cohorts on BMI only. b. The results of PrediXcan on T2D&ARIC cohorts on BMI and GWG. c. The results of PrediXcan on T2D&ARIC cohorts on GWG only.
DOI: 10.6084/m9.figshare.13620040.v1
title: Additional file 13 of The transcriptome-wide association search for genes and genetic variants which associate with BMI and gestational weight gain in women with type 1 diabetes

description: Additional file 13: Figure S3a. Go Enrichment analysis on GWG only associated genes in the Giant cohort. b. Go Enrichment analysis on the overlap between BMI and GWG genes in the Giant cohort.
DOI: 10.6084/m9.figshare.13620064
title: Additional file 6 of The transcriptome-wide association search for genes and genetic variants which associate with BMI and gestational weight gain in women with type 1 diabetes

description: Additional file 6: Figure S1a. The LD analysis for GPN3 gene. b. The LD analysis for PMS2P3 gene. c. The LD analysis for STAG3L1 gene.
DOI: 10.6084/m9.figshare.13620058
title: Additional file 4 of The transcriptome-wide association search for genes and genetic variants which associate with BMI and gestational weight gain in women with type 1 diabetes

description: Additional file 4: Table S3a. The results of PrediXcan on Giant cohort on BMI only. b. The results of PrediXcan on Giant cohort on BMI and GWG. c. The results of PrediXcan on Giant cohort on GWG only.
DOI: 10.6084/m9.figshare.13620076
title: Additional file 1 of Near-chromosome level genome assembly reveals ploidy diversity and plasticity in the intestinal protozoan parasite Entamoeba histolytica

description: Additional file 1: Extended Data 1-4.
DOI: 10.6084/m9.figshare.13620070.v1
title: Additional file 8 of The transcriptome-wide association search for genes and genetic variants which associate with BMI and gestational weight gain in women with type 1 diabetes

description: Additional file 8: Table S5a. The results of PrediXcan on T2D&ARIC cohorts on BMI only. b. The results of PrediXcan on T2D&ARIC cohorts on BMI and GWG. c. The results of PrediXcan on T2D&ARIC cohorts on GWG only.
DOI: 10.6084/m9.figshare.13620052.v1
title: Additional file 2 of The transcriptome-wide association search for genes and genetic variants which associate with BMI and gestational weight gain in women with type 1 diabetes

description: Additional file 2: Table S1a. The results of PrediXcan on BMI in T1D cohort in Subcutaneous Adipose Tissue. b. The results of PrediXcan on BMI in T1D cohort in Visceral Adipose Tissue. c. The results of PrediXcan on GWG in T1D cohort in Subcutaneous Adipose Tissue. d. The results of PrediXcan on GWG in T1D cohort in Visceral Adipose Tissue.
DOI: 10.6084/m9.figshare.13620076.v1
title: Additional file 1 of Near-chromosome level genome assembly reveals ploidy diversity and plasticity in the intestinal protozoan parasite Entamoeba histolytica

description: Additional file 1: Extended Data 1-4.
DOI: 10.6084/m9.figshare.13620037
title: Additional file 12 of The transcriptome-wide association search for genes and genetic variants which associate with BMI and gestational weight gain in women with type 1 diabetes

description: Additional file 12:Table S8a. Go Enrichment analysis on the overlap between BMI and GWG genes in the Giant cohort. b. Go Enrichment analysis on BMI only associated genes in the Giant cohort. c. Go Enrichment analysis on GWG only associated genes in the Giant cohort.
DOI: 10.6084/m9.figshare.13620089
title: Additional file 5 of Translational landscape and protein biogenesis demands of the early secretory pathway in Komagataella phaffii

description: Additional file 5. Combined results of Ribo-seq analysis of K. phaffii. Read counts, corrected transcripts per million (cTPM) and corrected ribosomes per million (cRPM) scores for K. phaffii GS115 open reading frame (ORFs). The file also includes experimental membrane enrichment scores, predictions of ORF features (localization, signal peptides, GPI-anchors and transmembrane domains), ORF sequences, homology to S. cerevisiae, and associations with prior annotations of the K. phaffii transcriptome. Additional details are provided in the file header.
DOI: 10.6084/m9.figshare.13620089.v1
title: Additional file 5 of Translational landscape and protein biogenesis demands of the early secretory pathway in Komagataella phaffii

description: Additional file 5. Combined results of Ribo-seq analysis of K. phaffii. Read counts, corrected transcripts per million (cTPM) and corrected ribosomes per million (cRPM) scores for K. phaffii GS115 open reading frame (ORFs). The file also includes experimental membrane enrichment scores, predictions of ORF features (localization, signal peptides, GPI-anchors and transmembrane domains), ORF sequences, homology to S. cerevisiae, and associations with prior annotations of the K. phaffii transcriptome. Additional details are provided in the file header.
DOI: 10.6084/m9.figshare.13620083
title: Additional file 3 of Translational landscape and protein biogenesis demands of the early secretory pathway in Komagataella phaffii

description: Additional file 3 Annotation of K. phaffii GS115 transcriptome. GFF3 annotation file containing transcript structures derived from Ribo-seq and long-read RNA-seq analysis.
DOI: 10.6084/m9.figshare.13620086.v1
title: Additional file 4 of Translational landscape and protein biogenesis demands of the early secretory pathway in Komagataella phaffii

description: Additional file 4. Comparison with prior K. phaffii annotations. Comma seperated value (CSV) file that links open reading frames defined in the current study with prior annotations of the K. phaffii transcriptome. Includes predicted protein sequence from each annotation. Additional details are provided in the file header.
DOI: 10.6084/m9.figshare.13620086
title: Additional file 4 of Translational landscape and protein biogenesis demands of the early secretory pathway in Komagataella phaffii

description: Additional file 4. Comparison with prior K. phaffii annotations. Comma seperated value (CSV) file that links open reading frames defined in the current study with prior annotations of the K. phaffii transcriptome. Includes predicted protein sequence from each annotation. Additional details are provided in the file header.
DOI: 10.6084/m9.figshare.13620098.v1
title: Additional file 8 of Translational landscape and protein biogenesis demands of the early secretory pathway in Komagataella phaffii

description: Additinal file 8. Combined results of Ribo-seq analysis of S. cerevisiae. Read counts, corrected transcripts per million (cTPM) and corrected ribosomes per million (cRPM) scores for S. cerevisiae open reading frame (ORFs). The file also includes experimental membrane enrichment scores, predictions of ORF features (localization, signal peptides, GPI-anchors and transmembrane domains), and ORF sequences. Additional details are provided in the file header.
DOI: 10.6084/m9.figshare.13620083.v1
title: Additional file 3 of Translational landscape and protein biogenesis demands of the early secretory pathway in Komagataella phaffii

description: Additional file 3 Annotation of K. phaffii GS115 transcriptome. GFF3 annotation file containing transcript structures derived from Ribo-seq and long-read RNA-seq analysis.
DOI: 10.6084/m9.figshare.13620098
title: Additional file 8 of Translational landscape and protein biogenesis demands of the early secretory pathway in Komagataella phaffii

description: Additinal file 8. Combined results of Ribo-seq analysis of S. cerevisiae. Read counts, corrected transcripts per million (cTPM) and corrected ribosomes per million (cRPM) scores for S. cerevisiae open reading frame (ORFs). The file also includes experimental membrane enrichment scores, predictions of ORF features (localization, signal peptides, GPI-anchors and transmembrane domains), and ORF sequences. Additional details are provided in the file header.
DOI: 10.6084/m9.figshare.13620119
title: Additional file 2 of Sero- and apx-typing of German Actinobacillus pleuropneumoniae field isolates from 2010 to 2019 reveals a predominance of serovar 2 with regular apx-profile

description: Additional file 2. Raw data for 213 German A. pleuropneumoniae isolates (2010–2019) and 5 additional isolates (1999–2009).