cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15468/dl.ccqz79
title: Occurrence Download

description: A dataset containing 9723 species occurrences available in GBIF matching the query:
{
 "and" : [
 "DatasetKey is Trawl survey data from the Jabuka Pit area (central-eastern Adriatic Sea, Mediterranean) collected between 1956 and 1971",
 "Country is Croatia"
 ]
}

 The dataset includes 9723 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0017215-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.8pnhsh
title: Occurrence Download

description: A dataset containing 115 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Hypoatherina valenciennei (Bleeker, 1854)",
 "Geometry POLYGON((170 20, 170 50, 120 50, 120 20, 170 20))",
 "HasCoordinate is true"
 ]
}

 The dataset includes 115 records from 13 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0017216-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.57780/esa-0yq5l8b
title: 9th GNSS Science Colloquium

description: Papers and Presentations from 9th GNSS Science Colloquium held in Wroclaw and Poland in September 2024
DOI: 10.15468/dl.r2vbj7
title: Occurrence Download

description: A dataset containing 7879 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Misgurnus fossilis (Linnaeus, 1758)"
 ]
}

 The dataset includes 7879 records from 122 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0017217-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.jm9xcc
title: Occurrence Download

description: A dataset containing 2 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Atherina bleekeri Günther, 1861",
 "Geometry POLYGON((170 20, 170 50, 120 50, 120 20, 170 20))",
 "HasCoordinate is true"
 ]
}

 The dataset includes 2 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0017219-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.wrsu43
title: Occurrence Download

description: A dataset containing 1521 species occurrences available in GBIF matching the query:
{
 "and" : [
 "OccurrenceStatus is Present",
 "TaxonKey is Nuphar lutea × pumila"
 ]
}

 The dataset includes 1521 records from 17 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0017218-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.14275859
title: RDW OpenData full vehicle inspections and recall data translated to English until 26th November 2024

description: Content:- All datasets at The Netherlands' RDW Open Data website, translated from Dutch to English, until 2024-11-26.- RDW is The Netherlands vehicle authority.- Datasets contains information about all vehicles registered in The Netherlands, periodic vehicle inspections and country-wide vehicle recalls at The Netherlands.- Columns that where translated where kept in original language with "_" in the column title.

Original Data Source:- https://data.europa.eu/en- https://opendata.rdw.nl/
DOI: 10.5281/zenodo.14275860
title: RDW OpenData full vehicle inspections and recall data translated to English until 26th November 2024

description: Content:- All datasets at The Netherlands' RDW Open Data website, translated from Dutch to English, until 2024-11-26.- RDW is The Netherlands vehicle authority.- Datasets contains information about all vehicles registered in The Netherlands, periodic vehicle inspections and country-wide vehicle recalls at The Netherlands.- Columns that where translated where kept in original language with "_" in the column title.

Original Data Source:- https://data.europa.eu/en- https://opendata.rdw.nl/
DOI: 10.5281/zenodo.13628120
title: Raw data for "Multi-beam multi-slice X-ray ptychography"
DOI: 10.5281/zenodo.13628121
title: Raw data for "Multi-beam multi-slice X-ray ptychography"
DOI: 10.15468/dl.ebuep6
title: Occurrence Download

description: A dataset containing 952 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Anthonomus grandis Boheman, 1843",
 "Country is United States of America",
 "Year is greater than or equal to 1500"
 ]
}

 The dataset includes 952 records from 24 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0017220-241126133413365/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.27960487
title: Integrative bioinformatics analysis to decipher common pathogenic processes in type 2 diabetes mellitus and pancreatic cancer

description: Type 2 Diabetes Mellitus (T2DM) and pancreatic cancer (PC) are complex diseases with shared molecular mechanisms that are not fully understood. This study used bioinformatics analysis to uncover shared transcriptional patterns and central genes between T2DM and PC, identifying 388 dysregulated genes. Functional annotation and pathway analysis highlighted involvement in immune responses and pathways such as Type II diabetes mellitus and the Rap1 signalling. Ten hub genes, including FN1, FCGR3A, CXCL10, CD86, CCL5, CRP, ITGB2, FCER1G, FCGR2B, and CD48, were identified as potential biomarkers. Machine learning classifiers, particularly Random Forest demonstrated the highest accuracy in classifying samples based on the expression of these hub genes. FN1, a key gene involved in cell adhesion was further investigated using molecular docking and molecular dynamics simulations analysis. This study provides insights into the common molecular mechanisms underlying T2DM and PC, with FN1 as a potential  therapeutic target. These findings could potentially be used in the future to develop personalized treatments aimed at preventing the occurrence of both T2DM and PC.
DOI: 10.6084/m9.figshare.27960487.v1
title: Integrative bioinformatics analysis to decipher common pathogenic processes in type 2 diabetes mellitus and pancreatic cancer

description: Type 2 Diabetes Mellitus (T2DM) and pancreatic cancer (PC) are complex diseases with shared molecular mechanisms that are not fully understood. This study used bioinformatics analysis to uncover shared transcriptional patterns and central genes between T2DM and PC, identifying 388 dysregulated genes. Functional annotation and pathway analysis highlighted involvement in immune responses and pathways such as Type II diabetes mellitus and the Rap1 signalling. Ten hub genes, including FN1, FCGR3A, CXCL10, CD86, CCL5, CRP, ITGB2, FCER1G, FCGR2B, and CD48, were identified as potential biomarkers. Machine learning classifiers, particularly Random Forest demonstrated the highest accuracy in classifying samples based on the expression of these hub genes. FN1, a key gene involved in cell adhesion was further investigated using molecular docking and molecular dynamics simulations analysis. This study provides insights into the common molecular mechanisms underlying T2DM and PC, with FN1 as a potential  therapeutic target. These findings could potentially be used in the future to develop personalized treatments aimed at preventing the occurrence of both T2DM and PC.
DOI: 10.6084/m9.figshare.27934938.v1
title: manta-tiny

description: manta-tiny
DOI: 10.15468/dl.h2sepp
title: Occurrence Download

description: A dataset containing 315 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Saurida elongata (Temminck & Schlegel, 1846)",
 "Geometry POLYGON((170 20, 170 50, 120 50, 120 20, 170 20))",
 "HasCoordinate is true"
 ]
}

 The dataset includes 315 records from 19 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0017221-241126133413365/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.27613507
title: Transcriptome-wide analysis reveal dynamic expression changes during endoplasmic reticulum stress in tomato

description: Endoplasmic reticulum (ER) stress is a cellular condition induced by environmental stressors. Transcriptomic approaches reveal the response of plants to ER stress and provide a broadened view. Tomato plants were treated with tunicamycin, and total RNA isolated from the tomato leaves was sequenced on an RNA-sequencing platform to be analyzed for differential expressions. A total of 856 differentially expressed genes (DEGs) were discovered in tunicamycin-treated tomato leaves. Upregulation of ER stress marker gene expressions was detected after 2h, while a prolonged ER stress downregulated most of the protein-coding genes. Pathways such as: response to stress, jasmonic acid mediated signaling, signal transduction regulation, plant hormone signal transduction, and protein processing in ER were enriched. Prolonged stress mostly resulted in reduced transcript levels, possibly related to a mechanism functioning to lower the load of nascent transcripts in the ER. Our findings emphasize the key role of JA-regulated signaling in tomato ER stress responses due to the differential expressions of the pathway components, along with other plant hormones and signaling-related or regulatory genes. ER stress being a common response to many stressors in plants, transcriptome data obtained here will provide for further studies of understanding plant stress tolerance or generating stress-resistant tomato plants.
DOI: 10.6084/m9.figshare.27613507.v1
title: Transcriptome-wide analysis reveal dynamic expression changes during endoplasmic reticulum stress in tomato

description: Endoplasmic reticulum (ER) stress is a cellular condition induced by environmental stressors. Transcriptomic approaches reveal the response of plants to ER stress and provide a broadened view. Tomato plants were treated with tunicamycin, and total RNA isolated from the tomato leaves was sequenced on an RNA-sequencing platform to be analyzed for differential expressions. A total of 856 differentially expressed genes (DEGs) were discovered in tunicamycin-treated tomato leaves. Upregulation of ER stress marker gene expressions was detected after 2h, while a prolonged ER stress downregulated most of the protein-coding genes. Pathways such as: response to stress, jasmonic acid mediated signaling, signal transduction regulation, plant hormone signal transduction, and protein processing in ER were enriched. Prolonged stress mostly resulted in reduced transcript levels, possibly related to a mechanism functioning to lower the load of nascent transcripts in the ER. Our findings emphasize the key role of JA-regulated signaling in tomato ER stress responses due to the differential expressions of the pathway components, along with other plant hormones and signaling-related or regulatory genes. ER stress being a common response to many stressors in plants, transcriptome data obtained here will provide for further studies of understanding plant stress tolerance or generating stress-resistant tomato plants.
DOI: 10.6084/m9.figshare.27613456
title: A morphological investigation of the alien <i>Ludwigia</i> species in Italy: towards a new key for unambiguous identification

description: The two freshwater plants <i>Ludwigia hexapetala</i> and <i>L. peploides</i> subsp. <i>montevidensis</i>, invasive in Europe including Italy, can colonise aquatic and bank habitats and possess remarkable morphological plasticity. They can be distinguished mainly by floral characters, while in the vegetative phase they show morphological similarities, making their identification difficult. In some cases, incorrect identification of these species generated confusion in the reference literature. This study aimed to define the morphological differences between <i>L. hexapetala</i> and <i>L. peploides</i> subsp. <i>montevidensis</i> to provide an identification key for these two species even when not flowering. Morphological quantitative and qualitative characters of 138 samples were measured and evaluated. PCA was performed, and each character was compared between the two species in each morphotype. The two species showed significant differences between morphological vegetative characters. <i>Ludwigia hexapetala</i> is associated with longer leaf length/width ratio, matte leaves with no petiole, erect rough stems when flowering, and high frequency of pneumatophore production. Conversely, <i>L. peploides</i> subsp. <i>montevidensis</i> is associated with shorter leaf length/width ratio, shiny leaves with a distinguishable petiole, and creeping, sticky stems. Our morphological study provides a taxonomic identification key for <i>L. hexapetala</i> and <i>L. peploides</i> subsp. <i>montevidensis</i>, allowing accurate identification even in the vegetative phase.
DOI: 10.6084/m9.figshare.27613456.v1
title: A morphological investigation of the alien <i>Ludwigia</i> species in Italy: towards a new key for unambiguous identification

description: The two freshwater plants <i>Ludwigia hexapetala</i> and <i>L. peploides</i> subsp. <i>montevidensis</i>, invasive in Europe including Italy, can colonise aquatic and bank habitats and possess remarkable morphological plasticity. They can be distinguished mainly by floral characters, while in the vegetative phase they show morphological similarities, making their identification difficult. In some cases, incorrect identification of these species generated confusion in the reference literature. This study aimed to define the morphological differences between <i>L. hexapetala</i> and <i>L. peploides</i> subsp. <i>montevidensis</i> to provide an identification key for these two species even when not flowering. Morphological quantitative and qualitative characters of 138 samples were measured and evaluated. PCA was performed, and each character was compared between the two species in each morphotype. The two species showed significant differences between morphological vegetative characters. <i>Ludwigia hexapetala</i> is associated with longer leaf length/width ratio, matte leaves with no petiole, erect rough stems when flowering, and high frequency of pneumatophore production. Conversely, <i>L. peploides</i> subsp. <i>montevidensis</i> is associated with shorter leaf length/width ratio, shiny leaves with a distinguishable petiole, and creeping, sticky stems. Our morphological study provides a taxonomic identification key for <i>L. hexapetala</i> and <i>L. peploides</i> subsp. <i>montevidensis</i>, allowing accurate identification even in the vegetative phase.
DOI: 10.6084/m9.figshare.27211764.v1
title: Predicting the potential distribution of <i>Arisaema heterophyllum</i> in China under current and future climate change based on ArcGIS and MaxEnt model

description: Climate change significantly affects the distribution of medicinal plants, necessitating accurate models to predict future shifts in their habitats. This study employed the MaxEnt model and ArcGIS to predict the current and future distribution of <i>Arisaema heterophyllum</i>, a valuable perennial herb in traditional Chinese medicine, under two future climate scenarios: SSP 245 and SSP 585. Using 142 valid species occurrence records and critical environmental variables, we identified October precipitation, March precipitation, elevation and September precipitation as the major determinants of <i>A. heterophyllum</i> habitat suitability. The model demonstrated high predictive accuracy, with an average Area Under the Curve (AUC) value of 0.951, indicating the reliability of our findings. These results suggest a potential decrease in the total suitable habitat area for <i>A. heterophyllum</i>, with a noticeable shift toward higher altitudes and latitudes in response to climate change. This study highlighted the urgency of incorporating climate change projections into <i>A. heterophyllum</i> conservation strategies to mitigate the risk of resource depletion. Furthermore, our approach offers a robust framework for assessing the impacts of climate change on other medicinal plants, contributing valuable insights into their future conservation and sustainable use.
DOI: 10.6084/m9.figshare.27038972
title: Diversity, characteristics, and co-occurrence patterns of tree microhabitats in the tropical forests of the Western Ghats, India

description: Tree microhabitats have been identified as structure-based indicators of biodiversity in temperate forests. However, information on diversity and abundance of these structures are minimal from the tropical regions. To address this, an inventory was conducted to document the distribution pattern of tree microhabitats in the Western Ghats, India. Tree microhabitats belonging to nine categories and 33 sub-categories in the evergreen and moist deciduous habitats were documented and horizontal and vertical distribution patterns were assessed. The evergreen habitat exhibited higher occurrences, with the abundance of injuries at 16.64 ± 6.31 per ha, epiphytes 20.48 ± 12.02 per ha, fungal fruiting bodies 2.68 ± 1.84 per ha, crown deadwood 5.12 ± 2.82 per ha, cavities 6.59 ± 1.37 per ha, growth forms 20.65 ± 3.96 per ha, deadwood 5.94 ± 1.97 per ha, and fresh exudates 0.99 ± 0.46 per ha. In deciduous forests, the abundance of injuries was 10.55 ± 2.95 per ha, epiphytes 6.88 ± 2.01 per ha, fungal fruiting bodies 2.75 ± 1.59 per ha, crown deadwood 6.58 ± 2.79 per ha, cavities 4.2 ± 1.51 per ha, growth forms 6.51 ± 2.19 per ha, deadwood 4.29 ± 1.52 per ha and fresh exudates 0.86 ± 0.96 per ha. Co-occurrence of tree cavities with other tree microhabitats were also presented. Injuries, growth forms, fungal fruiting bodies and deadwood were observed to have strongly correlated with the formation of cavities.
DOI: 10.6084/m9.figshare.27038972.v1
title: Diversity, characteristics, and co-occurrence patterns of tree microhabitats in the tropical forests of the Western Ghats, India

description: Tree microhabitats have been identified as structure-based indicators of biodiversity in temperate forests. However, information on diversity and abundance of these structures are minimal from the tropical regions. To address this, an inventory was conducted to document the distribution pattern of tree microhabitats in the Western Ghats, India. Tree microhabitats belonging to nine categories and 33 sub-categories in the evergreen and moist deciduous habitats were documented and horizontal and vertical distribution patterns were assessed. The evergreen habitat exhibited higher occurrences, with the abundance of injuries at 16.64 ± 6.31 per ha, epiphytes 20.48 ± 12.02 per ha, fungal fruiting bodies 2.68 ± 1.84 per ha, crown deadwood 5.12 ± 2.82 per ha, cavities 6.59 ± 1.37 per ha, growth forms 20.65 ± 3.96 per ha, deadwood 5.94 ± 1.97 per ha, and fresh exudates 0.99 ± 0.46 per ha. In deciduous forests, the abundance of injuries was 10.55 ± 2.95 per ha, epiphytes 6.88 ± 2.01 per ha, fungal fruiting bodies 2.75 ± 1.59 per ha, crown deadwood 6.58 ± 2.79 per ha, cavities 4.2 ± 1.51 per ha, growth forms 6.51 ± 2.19 per ha, deadwood 4.29 ± 1.52 per ha and fresh exudates 0.86 ± 0.96 per ha. Co-occurrence of tree cavities with other tree microhabitats were also presented. Injuries, growth forms, fungal fruiting bodies and deadwood were observed to have strongly correlated with the formation of cavities.
DOI: 10.6084/m9.figshare.27211764
title: Predicting the potential distribution of <i>Arisaema heterophyllum</i> in China under current and future climate change based on ArcGIS and MaxEnt model

description: Climate change significantly affects the distribution of medicinal plants, necessitating accurate models to predict future shifts in their habitats. This study employed the MaxEnt model and ArcGIS to predict the current and future distribution of <i>Arisaema heterophyllum</i>, a valuable perennial herb in traditional Chinese medicine, under two future climate scenarios: SSP 245 and SSP 585. Using 142 valid species occurrence records and critical environmental variables, we identified October precipitation, March precipitation, elevation and September precipitation as the major determinants of <i>A. heterophyllum</i> habitat suitability. The model demonstrated high predictive accuracy, with an average Area Under the Curve (AUC) value of 0.951, indicating the reliability of our findings. These results suggest a potential decrease in the total suitable habitat area for <i>A. heterophyllum</i>, with a noticeable shift toward higher altitudes and latitudes in response to climate change. This study highlighted the urgency of incorporating climate change projections into <i>A. heterophyllum</i> conservation strategies to mitigate the risk of resource depletion. Furthermore, our approach offers a robust framework for assessing the impacts of climate change on other medicinal plants, contributing valuable insights into their future conservation and sustainable use.
DOI: 10.15468/dl.skbhp3
title: Occurrence Download

description: A dataset containing 317 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Cubiceps gracilis (Lowe, 1843)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 317 records from 34 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0017223-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.qcv8yz
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Aulopus elongatus Temminck & Schlegel, 1846",
 "Geometry POLYGON((170 20, 170 50, 120 50, 120 20, 170 20))",
 "HasCoordinate is true"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0017224-241126133413365/datasets/export for details.
DOI: 10.15468/dl.cvh32x
title: Occurrence Download

description: A dataset containing 5093 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Diplopterygium glaucum (Thunb. ex Houtt.) Nakai"
 ]
}

 The dataset includes 5093 records from 88 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0017226-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.naz2qm
title: Occurrence Download

description: A dataset containing 64 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Squalus japonicus Ishikawa, 1908",
 "Geometry POLYGON((170 20, 170 50, 120 50, 120 20, 170 20))",
 "HasCoordinate is true"
 ]
}

 The dataset includes 64 records from 12 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0017227-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.sqa942
title: Occurrence Download

description: A dataset containing 114352 species occurrences available in GBIF matching the query:
{
 "Geometry" : [
 "POLYGON((-5.27231 36.44277,-5.05972 36.44277,-5.05972 36.61754,-5.27231 36.61754,-5.27231 36.44277))"
 ]
}

 The dataset includes 114352 records from 125 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0017168-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.