cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.26566043
title: Additional file 2 of Bisphenol A and bisphenol S both disrupt ovine granulosa cell steroidogenesis but through different molecular pathways

description: Additional file 2: Supplementary Table 1. Comparisons of the effect on progesterone (A) and oestradiol (B) secretion between conditions, including the p-values for all the multiple comparisons of the post-hoc test that followed the ANOVA. * indicates a significant difference and # indicates a tendency. Supplementary Table 2. Total number of reads for each sample. Six biological replicates of ovine granulosa cells were sequences per experimental conditions (Control, 50 µM BPA, 50 µM BPS, 10 µM G1), after 1h of treatment. This analysis generated an average of 23.7 ± 0.5 million reads per sample, and 73.7 ± 0.2 % of the reads were uniquely aligned with the sheep reference genome (Oar_rambouillet_v1.0, chromosomes). Supplementary Table 3. Differentially expressed genes (adjusted p-value ≤ 0.05) between the four comparisons: control versus bisphenol A (BPA), control versus bisphenol S (BPS), BPA versus BPS and G1 versus control. Six biological replicates of ovine granulosa cells were sequenced per experimental conditions (Control, 50 µM BPA, 50 µM BPS, 10 µM G1), after 1h of treatment. Supplementary Table 4. Hierarchical list of differentially expressed genes in the heatmap presented in Figure 2B. Supplementary Table 5. Functional analysis of ovine granulosa cells differentially expressed genes. Functional clusters using hierarchical clustering based on Wang’s semantic similarity between GO terms respecting GO and Ward’s criterion were performed using the ViSEAGO package. Supplementary Table 6. The main biological processes of differentially expressed genes (DEG) after treatment with bisphenol A (BPA) or bisphenol S (BPS). After 1 hour of treatment, in the presence or absence (control) of BPA or BPS at 50 μM, GC (6 replicates / condition) were an RNA-seq analysis made it possible to obtain a list of differential expression genes. Biological processes from gene ontology (GO; p ≤ 0.01) terms was obtained using ViSEAGO. The table shows the 20 GO, corresponding to biological functions, the most disturbed by BPA or BPS. The logarithmic threshold p-value was set at 2, corresponding to a p-value of 0.01. Supplementary Table 7. A Comparison of gene expression at a given culture time between treatments. Gene expression is presented as mean ± SEM and normalized to the control at 12 h (different letters indicate a significant difference between treatments).
DOI: 10.15468/dl.pvwm5z
title: Occurrence Download

description: A dataset containing 3 species occurrences available in GBIF matching the query:
{
 "Geometry" : [
 "POLYGON ((149.719227 -32.362496, 149.719227 -32.364741, 149.721473 -32.364741, 149.721473 -32.369233, 149.725964 -32.369233, 149.725964 -32.366987, 149.723719 -32.366987, 149.723719 -32.362496, 149.719227 -32.362496))"
 ]
}

 The dataset includes 3 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0066081-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.nehvfr
title: Occurrence Download

description: A dataset containing 7 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Rhododendron chunienii Chun & W.P.Fang"
 ]
}

 The dataset includes 7 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0066082-240626123714530/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.26655250
title: Additional file 1 of Phenetic and cladistic analyses of Boraginaceae Juss.

description: Additional file 1. Appendix A. Data matrix of (42) morphological characters and their (107) states of the studied taxa of Boraginaceae and outgroup. Appendix B. Similarity matrix among the studied boraginaceous taxa based on (42) morphological characters.
DOI: 10.6084/m9.figshare.26655250.v1
title: Additional file 1 of Phenetic and cladistic analyses of Boraginaceae Juss.

description: Additional file 1. Appendix A. Data matrix of (42) morphological characters and their (107) states of the studied taxa of Boraginaceae and outgroup. Appendix B. Similarity matrix among the studied boraginaceous taxa based on (42) morphological characters.
DOI: 10.15468/dl.7dq7dy
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "Geometry" : [
 "POLYGON ((143.819513 -36.737312, 143.819513 -36.739558, 143.821759 -36.739558, 143.821759 -36.737312, 143.819513 -36.737312))"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0066083-240626123714530/datasets/export for details.
DOI: 10.6084/m9.figshare.26566154.v1
title: Additional file 7 of Establishment and characterization of canine mammary tumoroids for translational research

description: Additional file 7: Table 4. List of proteins in the Venn diagram representing proteins in the Fresh, Frozen and FrozenCell tumoroids.
DOI: 10.15468/dl.p5ma3v
title: Occurrence Download

description: A dataset containing 5 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Rhododendron chunienii Chun & W.P.Fang"
 ]
}

 The dataset includes 5 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0066085-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.f37jjh
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "Geometry" : [
 "POLYGON ((149.056716 -32.366987, 149.056716 -32.373725, 149.058962 -32.373725, 149.058962 -32.369233, 149.063454 -32.369233, 149.063454 -32.366987, 149.056716 -32.366987))"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0066084-240626123714530/datasets/export for details.
DOI: 10.6084/m9.figshare.26655361
title: Additional file 2 of Development and validation of a pediatric model predicting trauma-related mortality

description: Additional file 2: Supplementary file 2a. Imputed Study Characteristics by Death. Supplementary file 2b. Non-Imputed Study Characteristics by Death.
DOI: 10.6084/m9.figshare.26655361.v1
title: Additional file 2 of Development and validation of a pediatric model predicting trauma-related mortality

description: Additional file 2: Supplementary file 2a. Imputed Study Characteristics by Death. Supplementary file 2b. Non-Imputed Study Characteristics by Death.
DOI: 10.6084/m9.figshare.26655364
title: Additional file 3 of Development and validation of a pediatric model predicting trauma-related mortality

description: Additional file 3: Supplementary file 3a. Imputed Study Characteristics by Race. Supplementary file 3a. Non-Imputed Study Characteristics by Race.
DOI: 10.6084/m9.figshare.26655364.v1
title: Additional file 3 of Development and validation of a pediatric model predicting trauma-related mortality

description: Additional file 3: Supplementary file 3a. Imputed Study Characteristics by Race. Supplementary file 3a. Non-Imputed Study Characteristics by Race.
DOI: 10.6084/m9.figshare.26655370
title: Additional file 5 of Development and validation of a pediatric model predicting trauma-related mortality

description: Additional file 5:  Supplementary file 5a. Temporal Study Characteristics by Race.  Supplementary file 5b. Temporal Study Characteristics by Death
DOI: 10.6084/m9.figshare.26655370.v1
title: Additional file 5 of Development and validation of a pediatric model predicting trauma-related mortality

description: Additional file 5:  Supplementary file 5a. Temporal Study Characteristics by Race.  Supplementary file 5b. Temporal Study Characteristics by Death
DOI: 10.6084/m9.figshare.26157841
title: <b>ISOLATION OF THE MARINE ACTINOMYCETES FROM THE BAY OF BENGAL SEDIMENTS</b>

description: The isolation of marine actinomycetes from the Bay of Bengal sediments involves the process of collecting sediment samples from the seabed of the Bay of Bengal and isolating actinomycetes, which are a group of Gram-positive bacteria known for their unique morphology and ability to produce bioactive compounds. Here’s an overview of the process:<b>1. Collection of Sediment Samples:</b>Sediment samples are collected from various locations in the Bay of Bengal, typically at different depths and distances from the coast. Sampling locations may include shallow waters near the coastline or deeper waters further offshore.<b>2. Processing of Sediment Samples:</b>Back in the laboratory, sediment samples undergo a series of processing steps to isolate actinomycetes. This typically involves:Drying and sieving the sediment to remove debris and large particles.Homogenizing and suspending the sediment in sterile seawater or saline solution to create a slurry.Serial dilution of the slurry to obtain isolated colonies of actinomycetes on agar plates.<b>3. Selective Isolation Techniques:</b>Actinomycetes are slow-growing bacteria and may be outcompeted by faster-growing organisms in the sediment. Therefore, selective isolation techniques are employed, such as:Use of selective media containing antibiotics to inhibit the growth of non-actinomycete bacteria.pH-adjusted media to favor the growth of actinomycetes over other organisms.<b>4. Identification and Characterization:</b>Colonies resembling actinomycetes are selected based on their morphology (e.g., filamentous growth, spore formation) and distinctive characteristics.Biochemical and molecular techniques, such as DNA sequencing and phylogenetic analysis, are used to confirm their identity as actinomycetes and classify them into specific genera and species.<b>5. Screening for Bioactive Compounds:</b>Actinomycetes are renowned for their ability to produce bioactive secondary metabolites, such as antibiotics, antifungals, and anticancer agents.Isolated strains are screened for their potential to produce such bioactive compounds using bioassays and chemical analyses.<b>6. Applications and Significance:</b>Marine actinomycetes isolated from the Bay of Bengal sediments represent a potential source of novel bioactive compounds with pharmaceutical, agricultural, and industrial applications.Their unique adaptations to marine environments make them valuable targets for bioprospecting and drug discovery efforts.Studying these organisms also contributes to our understanding of microbial diversity and ecological roles in marine ecosystems.In conclusion, the isolation of marine actinomycetes from the Bay of Bengal sediments involves a systematic approach to discovering and characterizing these bacteria for their potential to yield valuable bioactive compounds, benefiting various fields of science and industry.
DOI: 10.6084/m9.figshare.26157841.v2
title: <b>ISOLATION OF THE MARINE ACTINOMYCETES FROM THE BAY OF BENGAL SEDIMENTS</b>

description: The isolation of marine actinomycetes from the Bay of Bengal sediments involves the process of collecting sediment samples from the seabed of the Bay of Bengal and isolating actinomycetes, which are a group of Gram-positive bacteria known for their unique morphology and ability to produce bioactive compounds. Here’s an overview of the process:<b>1. Collection of Sediment Samples:</b>Sediment samples are collected from various locations in the Bay of Bengal, typically at different depths and distances from the coast. Sampling locations may include shallow waters near the coastline or deeper waters further offshore.<b>2. Processing of Sediment Samples:</b>Back in the laboratory, sediment samples undergo a series of processing steps to isolate actinomycetes. This typically involves:Drying and sieving the sediment to remove debris and large particles.Homogenizing and suspending the sediment in sterile seawater or saline solution to create a slurry.Serial dilution of the slurry to obtain isolated colonies of actinomycetes on agar plates.<b>3. Selective Isolation Techniques:</b>Actinomycetes are slow-growing bacteria and may be outcompeted by faster-growing organisms in the sediment. Therefore, selective isolation techniques are employed, such as:Use of selective media containing antibiotics to inhibit the growth of non-actinomycete bacteria.pH-adjusted media to favor the growth of actinomycetes over other organisms.<b>4. Identification and Characterization:</b>Colonies resembling actinomycetes are selected based on their morphology (e.g., filamentous growth, spore formation) and distinctive characteristics.Biochemical and molecular techniques, such as DNA sequencing and phylogenetic analysis, are used to confirm their identity as actinomycetes and classify them into specific genera and species.<b>5. Screening for Bioactive Compounds:</b>Actinomycetes are renowned for their ability to produce bioactive secondary metabolites, such as antibiotics, antifungals, and anticancer agents.Isolated strains are screened for their potential to produce such bioactive compounds using bioassays and chemical analyses.<b>6. Applications and Significance:</b>Marine actinomycetes isolated from the Bay of Bengal sediments represent a potential source of novel bioactive compounds with pharmaceutical, agricultural, and industrial applications.Their unique adaptations to marine environments make them valuable targets for bioprospecting and drug discovery efforts.Studying these organisms also contributes to our understanding of microbial diversity and ecological roles in marine ecosystems.In conclusion, the isolation of marine actinomycetes from the Bay of Bengal sediments involves a systematic approach to discovering and characterizing these bacteria for their potential to yield valuable bioactive compounds, benefiting various fields of science and industry.
DOI: 10.6084/m9.figshare.26157841.v1
title: <b>ISOLATION OF MARINE ACTINOMYCETES FROM BAY OF BENGAL</b>

description: The isolation of marine actinomycetes from the Bay of Bengal sediments involves the process of collecting sediment samples from the seabed of the Bay of Bengal and isolating actinomycetes, which are a group of Gram-positive bacteria known for their unique morphology and ability to produce bioactive compounds. Here’s an overview of the process:<b>1. Collection of Sediment Samples:</b>Sediment samples are collected from various locations in the Bay of Bengal, typically at different depths and distances from the coast. Sampling locations may include shallow waters near the coastline or deeper waters further offshore.<b>2. Processing of Sediment Samples:</b>Back in the laboratory, sediment samples undergo a series of processing steps to isolate actinomycetes. This typically involves:Drying and sieving the sediment to remove debris and large particles.Homogenizing and suspending the sediment in sterile seawater or saline solution to create a slurry.Serial dilution of the slurry to obtain isolated colonies of actinomycetes on agar plates.<b>3. Selective Isolation Techniques:</b>Actinomycetes are slow-growing bacteria and may be outcompeted by faster-growing organisms in the sediment. Therefore, selective isolation techniques are employed, such as:Use of selective media containing antibiotics to inhibit the growth of non-actinomycete bacteria.pH-adjusted media to favor the growth of actinomycetes over other organisms.<b>4. Identification and Characterization:</b>Colonies resembling actinomycetes are selected based on their morphology (e.g., filamentous growth, spore formation) and distinctive characteristics.Biochemical and molecular techniques, such as DNA sequencing and phylogenetic analysis, are used to confirm their identity as actinomycetes and classify them into specific genera and species.<b>5. Screening for Bioactive Compounds:</b>Actinomycetes are renowned for their ability to produce bioactive secondary metabolites, such as antibiotics, antifungals, and anticancer agents.Isolated strains are screened for their potential to produce such bioactive compounds using bioassays and chemical analyses.<b>6. Applications and Significance:</b>Marine actinomycetes isolated from the Bay of Bengal sediments represent a potential source of novel bioactive compounds with pharmaceutical, agricultural, and industrial applications.Their unique adaptations to marine environments make them valuable targets for bioprospecting and drug discovery efforts.Studying these organisms also contributes to our understanding of microbial diversity and ecological roles in marine ecosystems.In conclusion, the isolation of marine actinomycetes from the Bay of Bengal sediments involves a systematic approach to discovering and characterizing these bacteria for their potential to yield valuable bioactive compounds, benefiting various fields of science and industry.
DOI: 10.15468/dl.ansgmd
title: Occurrence Download

description: A dataset containing 484 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Issue is one of (Country invalid, The taxon ID was not used in backbone matching, The scientific name differs on the record from that found in the checklist, The backbone match found using the taxon IDs differs from what would be found if using the scientific names , Individual count invalid, Individual count conflicts with occurrence status)",
 "OccurrenceStatus is Present",
 "TaxonKey is Coradion Kaup, 1860"
 ]
}

 The dataset includes 484 records from 11 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0066086-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.wbdh37
title: Occurrence Download

description: A dataset containing 363083 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON ((-61.59741 10.61003, -61.25444 10.61003, -61.25444 10.7403, -61.59741 10.7403, -61.59741 10.61003))",
 "Year is greater than or equal to 2000",
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 }
 ]
}

 The dataset includes 363083 records from 71 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0066078-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.w69xep
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "Geometry" : [
 "POLYGON ((144.782961 -36.737312, 144.782961 -36.739558, 144.785207 -36.739558, 144.785207 -36.737312, 144.782961 -36.737312))"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0066087-240626123714530/datasets/export for details.
DOI: 10.6084/m9.figshare.26592836
title: Additional file 4 of A theory-informed systematic review to understand physical activity among women in Gulf Cooperation Council countries

description: Additional file 4.
DOI: 10.6084/m9.figshare.26592836.v1
title: Additional file 4 of A theory-informed systematic review to understand physical activity among women in Gulf Cooperation Council countries

description: Additional file 4.
DOI: 10.6084/m9.figshare.26592833.v1
title: Additional file 3 of A theory-informed systematic review to understand physical activity among women in Gulf Cooperation Council countries

description: Additional file 3.
DOI: 10.15468/dl.q6zv7h
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "Geometry" : [
 "POLYGON ((149.447485 -32.366987, 149.447485 -32.369233, 149.449731 -32.369233, 149.449731 -32.366987, 149.447485 -32.366987))"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0066088-240626123714530/datasets/export for details.
DOI: 10.5281/zenodo.13319442
title: Mechanical data in support of "Permeability Partitioning through the Brittle-to-Ductile Transition and its Implications for Supercritical Geothermal Reservoirs"

description: This folder contains 4 files with the nechanicakl data produced during the study titled "Mechanical data in support of "Permeability Partitioning through the Brittle-to-Ductile Transition and its Implications for Supercritical Geothermal Reservoirs". Each file correspond to an experiment ran at a different temperature:

LG200C.txt: Lanhelin Granite, T = 200C, strain rate 10-6, Initial length = 42.32 mm

LG400C.txt: Lanhelin Granite, T = 400C, strain rate 10-6, Initial length = 41.68 mm

LG600C.txt: Lanhelin Granite, T = 600C, strain rate 10-6, Initial length = 41.78 mm

LG800C.txt: Lanhelin Granite, T = 800C, strain rate 10-6, Initial length = 41.77 mm

All data files contain the following columns: time (s), confining pressure (bar), displacement (mm), vertical load (kN), temperature (C), upstream pore pressure (bar), downstream porepressure (bar).
DOI: 10.5281/zenodo.13319443
title: Mechanical data in support of "Permeability Partitioning through the Brittle-to-Ductile Transition and its Implications for Supercritical Geothermal Reservoirs"

description: This folder contains 4 files with the nechanicakl data produced during the study titled "Mechanical data in support of "Permeability Partitioning through the Brittle-to-Ductile Transition and its Implications for Supercritical Geothermal Reservoirs". Each file correspond to an experiment ran at a different temperature:

LG200C.txt: Lanhelin Granite, T = 200C, strain rate 10-6, Initial length = 42.32 mm

LG400C.txt: Lanhelin Granite, T = 400C, strain rate 10-6, Initial length = 41.68 mm

LG600C.txt: Lanhelin Granite, T = 600C, strain rate 10-6, Initial length = 41.78 mm

LG800C.txt: Lanhelin Granite, T = 800C, strain rate 10-6, Initial length = 41.77 mm

All data files contain the following columns: time (s), confining pressure (bar), displacement (mm), vertical load (kN), temperature (C), upstream pore pressure (bar), downstream porepressure (bar).
DOI: 10.15468/dl.hvsmtd
title: Occurrence Download

description: A dataset containing 7274 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Issue is one of (Country invalid, The taxon ID was not used in backbone matching, The scientific name differs on the record from that found in the checklist, The backbone match found using the taxon IDs differs from what would be found if using the scientific names , Individual count invalid, Individual count conflicts with occurrence status)",
 "OccurrenceStatus is Present",
 "TaxonKey is Forcipiger Jordan & McGregor, 1898"
 ]
}

 The dataset includes 7274 records from 34 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0066090-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.evp458
title: Occurrence Download

description: A dataset containing 1122068 species occurrences available in GBIF matching the query:
{
 "Country" : [
 "is Benin"
 ]
}

 The dataset includes 1122068 records from 536 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0066065-240626123714530/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.26655454
title: Additional file 1 of PEPMatch: a tool to identify short peptide sequence matches in large sets of proteins

description: Additional file 1: 1000 MHC ligand peptides and 1000 shuffled peptides, all 9-mers, for the exact matching benchmark.