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

description: A dataset containing 8 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Bartlettina tamaulipana (B.L.Turner) R.M.King & H.Rob."
 ]
}

 The dataset includes 8 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0086395-230224095556074/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.t3ky8r
title: Occurrence Download

description: A dataset containing 6 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Colombia",
 "TaxonKey is Canacidae"
 ]
}

 The dataset includes 6 records from 6 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0431224-210914110416597/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.h4tqkr
title: Occurrence Download

description: A dataset containing 126270 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "Country is one of (United States of America, Mexico, Canada)",
 "Year is greater than 1978",
 "Year is less than 2014",
 "HasGeospatialIssue is false",
 "TaxonKey is Patagioenas fasciata (Say, 1822)"
 ]
}

 The dataset includes 126270 records from 52 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0086407-230224095556074/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.29d3d2
title: Occurrence Download

description: A dataset containing 2662 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Pagrus pagrus (Linnaeus, 1758)"
 ]
}

 The dataset includes 2662 records from 91 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0014793-220831081235567/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.y7wytg
title: Occurrence Download

description: A dataset containing 53364 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is United States of America",
 "OccurrenceStatus is Present",
 "TaxonKey is Lepomis gibbosus (Linnaeus, 1758)"
 ]
}

 The dataset includes 53364 records from 84 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0011613-240425142415019/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.uwtukg
title: Occurrence Download

description: A dataset containing 48026 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "Continent is Europe",
 "Year is greater than 1978",
 "Year is less than 2014",
 "HasGeospatialIssue is false",
 "TaxonKey is Lolium multiflorum Lam."
 ]
}

 The dataset includes 48026 records from 410 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0086406-230224095556074/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.6q5cqj
title: Occurrence Download

description: A dataset containing 399 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Cynoglossus puncticeps (Richardson, 1846)"
 ]
}

 The dataset includes 399 records from 48 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0113738-230530130749713/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.h5ypvq
title: Occurrence Download

description: A dataset containing 4091 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Sonchus maritimus L.",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 4091 records from 113 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0259186-210914110416597/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.hvj9b2
title: Occurrence Download

description: A dataset containing 19 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Portugal",
 "Geometry POLYGON((-8.63822 38.64453,-9.02588 38.57027,-9.25084 38.39446,-8.80639 38.27434,-8.61856 38.36825,-8.63822 38.64453))",
 {
 "or" : [
 "TaxonKey is Zostera noltii Hornem.",
 "TaxonKey is Zostera marina L.",
 "TaxonKey is Cymodocea nodosa (Ucria) Asch."
 ]
 }
 ]
}

 The dataset includes 19 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0389507-210914110416597/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.yuzen7
title: Occurrence Download

description: A dataset containing 65 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Cynoglossus oligolepis (Bleeker, 1855)"
 ]
}

 The dataset includes 65 records from 10 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0113735-230530130749713/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.aha5nq
title: Occurrence Download

description: A dataset containing 1 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Taraxacum anadyrense Nakai & Koidz."
 ]
}

 The dataset includes 1 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0005230-230810091245214/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.rnafb6
title: Occurrence Download

description: A dataset containing 25 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Laplacea grandis Brandegee"
 ]
}

 The dataset includes 25 records from 8 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0064309-220831081235567/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.8p4pah
title: Occurrence Download

description: A dataset containing 56587 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Continent is North America",
 "OccurrenceStatus is Present",
 "TaxonKey is Lepomis gibbosus (Linnaeus, 1758)"
 ]
}

 The dataset includes 56587 records from 84 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0011615-240425142415019/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.yhrfhx
title: Occurrence Download

description: A dataset containing 31066 species occurrences available in GBIF matching the query:
{
 "and" : [
 "OccurrenceStatus is Present",
 "TaxonKey is Nucella lapillus (Linnaeus, 1758)"
 ]
}

 The dataset includes 31066 records from 225 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0086415-230224095556074/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.zb85s5
title: Occurrence Download

description: A dataset containing 3 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is one of (Pouteria undulatifolia Rizzini)"
 ]
}

 The dataset includes 3 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0008599-240202131308920/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ffrarn
title: Occurrence Download

description: A dataset containing 218 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Hemigrammocypris rasborella Fowler, 1910"
 ]
}

 The dataset includes 218 records from 21 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0064328-220831081235567/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.d2z6sj
title: Occurrence Download

description: A dataset containing 20 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Bartlettina silvicola (B.L.Rob.) R.M.King & H.Rob."
 ]
}

 The dataset includes 20 records from 7 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0086391-230224095556074/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.b5kgdw
title: Occurrence Download

description: A dataset containing 192346 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "Continent is Europe",
 "Year is greater than 1978",
 "Year is less than 2014",
 "HasGeospatialIssue is false",
 "TaxonKey is Holcus mollis L."
 ]
}

 The dataset includes 192346 records from 521 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0086374-230224095556074/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.axm8e5
title: Occurrence Download

description: A dataset listing the 25074 species recorded in GBIF matching the query:
{
 "and" : [
 {
 "or" : [
 "PublishingCountry is Colombia",
 {
 "and" : [
 "Country is Colombia",
 {
 "not" : {
 "Issue" : [
 "is Country coordinate mismatch"
 ]
 }
 }
 ]
 }
 ]
 },
 "StateProvince is one of (santander)"
 ]
}

 The dataset's 25074 records were derived from 647 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0020289-240906103802322/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.z728s2
title: Occurrence Download

description: A dataset containing 2446541762 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Animalia"
 ]
}

 The dataset includes 2446541762 records from 58446 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0020170-240906103802322/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.11206553
title: Methylation profiling of Waldenstorm's Macroglobulinemia

description: Currently, the role of DNA methylation in the IgM-monoclonal gammopathy disease spectrum remains poorly understood. In the present study, a multi-omics prospective analysis was conducted integrating DNA methylation, RNA-seq and WES data in 34 subjects [23 WM, 6 IgM-MGUS, 5 normal controls]. Analysis was focused on defining differences between IgM-gammopathies (WM/IgM-MGUS) compared to controls, and specifically between WM and IgM-MGUS. Between groups, genome-wide DNA methylation analysis demonstrated a significant number of differentially methylated regions which were annotated according to genomic region. Next, integration of RNA-seq data was performed to identify potentially epigenetically deregulated pathways. We found that pathways involved in cell cycle, metabolism, cytokine/immune signaling, cytoskeleton, tumor microenvironment, and intracellular signaling were differentially activated and potentially epigenetically regulated. Importantly, there was a positive enrichment of CXCR4 signaling pathway along with several interleukin (IL-6, IL-8, IL15) signaling pathways in WM compared to IgM-MGUS. Further assessment of known tumor suppressor genes and oncogenes uncovered differential promoter methylation of several targets with concordant change in gene expression, including CCND1 and CD79B. Overall, this report define how aberrant DNA methylation in IgM-gammopathies may play acritical role in the epigenetic control of oncogenesis and key cellular functions.
DOI: 10.15468/dl.gznxvj
title: Occurrence Download

description: A dataset containing 2075 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is one of (Zapoteca portoricensis (Jacq.) H.M.Hern.)"
 ]
}

 The dataset includes 2075 records from 169 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0021247-240506114902167/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.qbb767
title: Occurrence Download

description: A dataset containing 77 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Sicarius tropicus (Mello-Leitão, 1936)"
 ]
}

 The dataset includes 77 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0021249-240506114902167/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.umdsfr
title: Occurrence Download

description: A dataset containing 56744 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is one of (Zelkova serrata (Thunb.) Makino)"
 ]
}

 The dataset includes 56744 records from 266 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0021248-240506114902167/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.7295519
title: Data Repository for "Integrating Water Quality Data with a Bayesian Network Model to Improve Spatial and Temporal Phosphorus Attribution: Application to the Maumee River Basin"

description: Data for "Integrating Water Quality Data with a Bayesian Network Model to Improve Spatial and Temporal Phosphorus Attribution: Application to the Maumee River Basin" submitted to <em>Water Resources Research</em>. This repository contains all the processed data used in the simulation (in "processed" folder), part of the raw data (in "raw" folder), and the SWAT simulation results (in "SWAT" folder). The code for processing the raw data, which are either provided here or publicly available online, is provided in the code repository. The links to the publicly available raw data is are also provided in the code repository.
description: This work is supported by Stanford Impact Labs, Stanford Woods Institute for the Environment, The Chicago Community Trust, and Chicago Community Foundation, and by the Stanford Graduate Fellowship in Science and Engineering awarded to ZW.
DOI: 10.5281/zenodo.8132640
title: Data Repository for "Integrating Water Quality Data with a Bayesian Network Model to Improve Spatial and Temporal Phosphorus Attribution: Application to the Maumee River Basin"

description: Data for "Integrating Water Quality Data with a Bayesian Network Model to Improve Spatial and Temporal Phosphorus Attribution: Application to the Maumee River Basin". This repository contains all the processed data used in the simulation (in "processed" folder), part of the raw data (in "raw" folder), and the SWAT simulation results (in "SWAT" folder). The code for processing the raw data, which are either provided here or publicly available online, is provided in the code repository. The links to the publicly available raw data are also provided in the code repository.
description: This work is supported by Stanford Impact Labs, Stanford Woods Institute for the Environment, The Chicago Community Trust, and Chicago Community Foundation, and by the Stanford Graduate Fellowship in Science and Engineering awarded to ZW.
DOI: 10.5281/zenodo.7295524
title: Data Repository for "Integrating Water Quality Data with a Bayesian Network Model to Improve Spatial and Temporal Phosphorus Attribution: Application to the Maumee River Basin"

description: Data for "Integrating Water Quality Data with a Bayesian Network Model to Improve Spatial and Temporal Phosphorus Attribution: Application to the Maumee River Basin" submitted to <em>Water Resources Research</em>. This repository contains all the processed data used in the simulation (in "processed" folder), part of the raw data (in "raw" folder), and the SWAT simulation results (in "SWAT" folder). The code for processing the raw data, which are either provided here or publicly available online, is provided in the code repository. The links to the publicly available raw data are also provided in the code repository.
description: This work is supported by Stanford Impact Labs, Stanford Woods Institute for the Environment, The Chicago Community Trust, and Chicago Community Foundation, and by the Stanford Graduate Fellowship in Science and Engineering awarded to ZW.
DOI: 10.5281/zenodo.7295662
title: Data Repository for "Integrating Water Quality Data with a Bayesian Network Model to Improve Spatial and Temporal Phosphorus Attribution: Application to the Maumee River Basin"

description: Data for "Integrating Water Quality Data with a Bayesian Network Model to Improve Spatial and Temporal Phosphorus Attribution: Application to the Maumee River Basin" submitted to <em>Water Resources Research</em>. This repository contains all the processed data used in the simulation (in "processed" folder), part of the raw data (in "raw" folder), and the SWAT simulation results (in "SWAT" folder). The code for processing the raw data, which are either provided here or publicly available online, is provided in the code repository. The links to the publicly available raw data are also provided in the code repository.
description: This work is supported by Stanford Impact Labs, Stanford Woods Institute for the Environment, The Chicago Community Trust, and Chicago Community Foundation, and by the Stanford Graduate Fellowship in Science and Engineering awarded to ZW.
DOI: 10.5281/zenodo.11206526
title: Computational Investigation of Co-Aggregation and Cross-Seeding between Aβ and hIAPP Underpinning the Crosstalk in Alzheimer's Disease and Type-2 Diabetes

description: The coexistence of Amyloid-β (Aβ) and human Islet Amyloid Polypeptide (hIAPP) in the brain and pancreas is associated with an increased risk of Alzheimer’s disease (AD) and type-2 diabetes (T2D) due to their co-aggregation and cross-seeding. Despite this, the molecular mechanisms underlying their interaction remain elusive. Here, we systematically investigated the cross-talk between Aβ and hIAPP using atomistic discrete molecular dynamics (DMD) simulations. Our results revealed that the amyloidogenic core regions of both Aβ (Aβ10–21 and Aβ30–41) and hIAPP (hIAPP8-20 and hIAPP22-29), driving their self-aggregation, also exhibited a strong tendency for cross-interaction. This propensity led to the formation of β-sheet-rich hetero-complexes, including potentially toxic β-barrel oligomers. The formation of Aβ and hIAPP hetero-aggregates did not impede the recruitment of additional peptides to grow into larger aggregates. Our cross-seeding simulations demonstrated that both Aβ and hIAPP fibrils could mutually act as seeds, assisting each other's monomers in converting into β-sheets at the exposed fibril elongation ends. The amyloidogenic core regions of Aβ and hIAPP, in both oligomeric and fibrillar states, exhibited the ability to recruit isolated peptides, thereby extending the β-sheet edges, with limited sensitivity to the amino acid sequence. These findings suggest that targeting these regions by capping them with amyloid-resistant peptide drugs may hold potential as a therapeutic approach for addressing AD, T2D, and their co-pathologies.
DOI: 10.5281/zenodo.11206527
title: Computational Investigation of Co-Aggregation and Cross-Seeding between Aβ and hIAPP Underpinning the Crosstalk in Alzheimer's Disease and Type-2 Diabetes

description: The coexistence of Amyloid-β (Aβ) and human Islet Amyloid Polypeptide (hIAPP) in the brain and pancreas is associated with an increased risk of Alzheimer’s disease (AD) and type-2 diabetes (T2D) due to their co-aggregation and cross-seeding. Despite this, the molecular mechanisms underlying their interaction remain elusive. Here, we systematically investigated the cross-talk between Aβ and hIAPP using atomistic discrete molecular dynamics (DMD) simulations. Our results revealed that the amyloidogenic core regions of both Aβ (Aβ10–21 and Aβ30–41) and hIAPP (hIAPP8-20 and hIAPP22-29), driving their self-aggregation, also exhibited a strong tendency for cross-interaction. This propensity led to the formation of β-sheet-rich hetero-complexes, including potentially toxic β-barrel oligomers. The formation of Aβ and hIAPP hetero-aggregates did not impede the recruitment of additional peptides to grow into larger aggregates. Our cross-seeding simulations demonstrated that both Aβ and hIAPP fibrils could mutually act as seeds, assisting each other's monomers in converting into β-sheets at the exposed fibril elongation ends. The amyloidogenic core regions of Aβ and hIAPP, in both oligomeric and fibrillar states, exhibited the ability to recruit isolated peptides, thereby extending the β-sheet edges, with limited sensitivity to the amino acid sequence. These findings suggest that targeting these regions by capping them with amyloid-resistant peptide drugs may hold potential as a therapeutic approach for addressing AD, T2D, and their co-pathologies.
DOI: 10.5281/zenodo.7295518
title: Data Repository for "Integrating Water Quality Data with a Bayesian Network Model to Improve Spatial and Temporal Phosphorus Attribution: Application to the Maumee River Basin"

description: Data for "Integrating Water Quality Data with a Bayesian Network Model to Improve Spatial and Temporal Phosphorus Attribution: Application to the Maumee River Basin". This repository contains all the processed data used in the simulation (in "processed" folder), part of the raw data (in "raw" folder), and the SWAT simulation results (in "SWAT" folder). The code for processing the raw data, which are either provided here or publicly available online, is provided in the code repository. The links to the publicly available raw data are also provided in the code repository.
description: This work is supported by Stanford Impact Labs, Stanford Woods Institute for the Environment, The Chicago Community Trust, and Chicago Community Foundation, and by the Stanford Graduate Fellowship in Science and Engineering awarded to ZW.
DOI: 10.5281/zenodo.8132656
title: Data Repository for "Integrating Water Quality Data with a Bayesian Network Model to Improve Spatial and Temporal Phosphorus Attribution: Application to the Maumee River Basin"

description: Data for "Integrating Water Quality Data with a Bayesian Network Model to Improve Spatial and Temporal Phosphorus Attribution: Application to the Maumee River Basin". This repository contains all the processed data used in the simulation (in "processed" folder), part of the raw data (in "raw" folder), and the SWAT simulation results (in "SWAT" folder). The code for processing the raw data, which are either provided here or publicly available online, is provided in the code repository. The links to the publicly available raw data are also provided in the code repository.
description: This work is supported by Stanford Impact Labs, Stanford Woods Institute for the Environment, The Chicago Community Trust, and Chicago Community Foundation, and by the Stanford Graduate Fellowship in Science and Engineering awarded to ZW.