cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.25422/azu.data.27069106
title: The real McCoy: A record of deep-water basin deposition in southwestern North America during the Cretaceous

description: Supporting information including tables for manuscript entitled <i>"</i><i>The real McCoy: A record of deep-water </i><i>basin deposition in </i><i>southwestern North America during the Cretaceous".<br><br><br><i>For inquiries regarding the contents of this dataset, please contact the Corresponding Author listed in the README.txt file. Administrative inquiries (e.g., removal requests, trouble downloading, etc.) can be directed to data-management@arizona.edu</i></i>
DOI: 10.25422/azu.data.27069106.v1
title: The real McCoy: A record of deep-water basin deposition in southwestern North America during the Cretaceous

description: Supporting information including tables for manuscript entitled <i>"</i><i>The real McCoy: A record of deep-water </i><i>basin deposition in </i><i>southwestern North America during the Cretaceous".<br><br><br><i>For inquiries regarding the contents of this dataset, please contact the Corresponding Author listed in the README.txt file. Administrative inquiries (e.g., removal requests, trouble downloading, etc.) can be directed to data-management@arizona.edu</i></i>
DOI: 10.15468/dl.82gpfu
title: Occurrence Download

description: A dataset containing 195824 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((-180 60,180 60,180 90,-180 90,-180 60))",
 "PublishingOrg is a41250f0-7c3e-11d8-a19c-b8a03c50a862"
 ]
}

 The dataset includes 195824 records from 12 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000359-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.5wwbx6
title: Occurrence Download

description: A dataset listing the 90 species recorded in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((-5.47703 36.1175,-5.4823 36.11497,-5.49008 36.11531,-5.49555 36.11274,-5.49243 36.11217,-5.48895 36.11472,-5.48694 36.11404,-5.48173 36.11451,-5.47703 36.1175))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Plantae"
 ]
}

 The dataset's 90 records were derived from 7 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000430-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.rf8jwj
title: Occurrence Download

description: A dataset containing 153645 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Madagascar",
 "DatasetKey is one of (The vascular plants collection (P) at the Herbarium of the Muséum national d'Histoire Naturelle (MNHN - Paris), Geneva Herbarium – General Collection (G))",
 "OccurrenceStatus is Present",
 "TaxonKey is Plantae"
 ]
}

 The dataset includes 153645 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000368-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.t5wmpr
title: Occurrence Download

description: A dataset containing 432 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Thailand",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Elephas maximus Linnaeus, 1758"
 ]
}

 The dataset includes 432 records from 7 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000448-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.k8jsgw
title: Occurrence Download

description: A dataset containing 9 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Spain",
 "GadmGid is ESP.2_1",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Harmonia axyridis (Pallas, 1773)",
 "Year 1988-2024"
 ]
}

 The dataset includes 9 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000449-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17632/tzzcmzz82s.1
title: EV Paper

description: Extracellular vesicles (EVs) are an important carrier of cellular communication that are secreted from the cell. Different cells will produce EVs with different cargo such as cytokines, RNAs, or microRNAs (miRNA). EVs have been proven to play an important role in breast cancer tumorigenesis, progression, and metastasis. Althought the role of cancer associated fibroblasts (CAFs), and EVs originated from them have been studied extensively, there is a lack in knowledge on the contribution of fibroblasts surrounding the tumor and their roles with respect to their proximity to the tumor. Fibroblasts within the tumor, termed cancer-associated fibroblasts (CAFs), contain more proinflammatory cytokines and miRNAs that promote cancer progression within their EVs as compared to normal fibroblasts. Here we investigate how the proximity of the tumor affects the EV production of the fibroblasts. We created stromal models by 3D bioprinting the two different fibroblasts, normal human mammary fibroblasts (hMFs) and normal tumor adjacent fibroblasts (NTAF), within a collagen gel. After one week of culture, we isolated EVs from both the effluent media and the 3D stromal model, which were then characterized using nanoparticle tracking analysis (NTA), transmission electron microscopy (TEM), ELISA, zeta potential, and cytokine array analysis of the cargo. The EVs from each group were of consistent exosome size and displayed traditional exosome markers, however the EVs from different groups also displayed different cytokine profiles of their cargo, with the NTAF media group showing an upregulation of cytokines associated with breast cancer progression. After this, we used the EVs to treat breast cancer cells to investigate the effects the EVs from different tumor proximities have on the breast cancer cell behavior. The breast cancer cells treated with the NTAF groups had increased migration. Finally, we utilized a 3D breast tumor model to investigate the effects of the EVs on a tumor spheroid. Tumor spheroids treated with either NTAF EV groups showed increased proliferation, tumor radius, and local invasion. This study is the first to investigate the effect of proximity to a breast tumor on EV production and the first to utilize 3D bioprinting of stromal models specifically to obtain EVs. Overall, our results show that EVs from fibroblasts closer to a tumor produce EVs that promote breast cancer progression, regardless of the secretion location of the EVs. These cells have a distinct EV secretome different from normal human mammary fibroblasts, showing that the proximity to a tumor influences the fibroblasts surrounding the tumor.
DOI: 10.17632/2vk5khfn6v.1
title: Medicines Information Dataset (MID)

description: Numerous research on medicines is conducted day by day. To address shortcomings of medicines information generation, prediction, and classification models , we introduce a large medicines information dataset of textual data. For this motivation, we named our dataset ‘MID’.

• Value of the data
 - MID is the largest, to our knowledge, available and representative Medicines Information Dataset (MID) for a wide variety drug.
 - MID is the largest, make it robust for generating information about drugs such as indications or interactions.
 - MID offers more than 192k rows distributed 45 variety therapeutic class, make it robust for classification drug to therapeutic label.
 - MID provide accurate, authoritative & trustworthy information on medicines for enhancing predictions and efficiencies in clinical trial management.
 - In contrast with the few small available datasets, MID's size makes it a suitable corpus for implementing both classical as well as deep learning models.

• MID.xlsx provides the raw data include medicines information. The data collected to ensure an accelerate and save experimental efforts for medicines through help in predicting or generating or classifying of medicines preclinically, facilitating a detailed analysis of the risk affecting participants in clinical trials.

• Therapeutic_class_counts.xlsx is summarize distribution of medicines per by therapeutic class.
DOI: 10.17632/2vk5khfn6v.3
title: MID: Medicines Information Dataset

description: Numerous studies on medicines are conducted day by day. To address shortcomings of medicines information generation, prediction, and classification models, the authors introduce a large medicines information dataset of textual data. For this motivation, the authors named the medicines information dataset ‘MID’ .

• Value of the data
 - The dataset comprises extensive medicines information, featuring over 192k rows distributed across 22 diverse therapeutic classes.
 - The dataset can be beneficial to the classification of therapeutic classes and robust for the prediction and generation of medicines information such as indications or interactions for enhancing efficiencies in clinical trial management, facilitating a detailed analysis of the risk affecting participants in clinical trials.
 - The dataset includes the name, link, contains, introduction, uses, benefits, side effects, how to use, how the drug works, quick tips, chemical class, habit forming, therapeutic class, action class, safety advice to alcohol, safety advice to pregnancy, safety advice to breastfeeding, safety advice to driving, safety advice to kidney, and safety advice to the liver.
 - The dataset is big data, making it a suitable corpus for implementing both classical as well as deep learning models.
 - The dataset provides a useful resource for medical researchers, healthcare professionals, drug manufacturers, data scientists, and enthusiasts interested in exploring the world of medicines and healthcare products preclinical for drug development and design.

• MID.xlsx provides the raw data, including medicine information. The data collected to ensure an acceleration and save experimental efforts for medicines through help in predicting or generating or classifying of medicine information preclinically. 

• Therapeutic_class_counts.xlsx is summarize distribution of medicines per therapeutic class.
DOI: 10.17632/4c3tj9rkx5.1
title: Ebony State Primary and Secondary (NDVI) Monthly Prevalence Weather Dataset (2010-2018)

description: The weather data was collected primarily from Nigerian metrological Agency (NiMet) records from 2010-2018, while normalized difference vegetation index (NDVI) data was generated through remote application of sentinel-2 and both data was deployed to evaluate and monitor the mean temperature, relative humidity, precipitation growth rate of maize and rice. Specifically circular rice production assumption was examined by obtained values of NDVI in previous years and subsequent years.
Note: The NDVI data was outsource using European Senitel-2, the data cannot be obtained from NiMet at the time of the study, however, can be made available upon request. Also there exist little discrepancy between NiMET data and Senitel-2 imagery at high spatial resolution values. To reduce possible flawed data, average value of both were used.
DOI: 10.17632/sjnv8kjxpb.1
title: Clinical and metabolomics characterization of hospitalized COVID-19 patients during the Delta and Omicron epidemiological waves in Mexico

description: COVID-19, caused by the SARS-CoV-2 virus, was first identified in Wuhan, China, in December 2019 and quickly escalated into a global pandemic by early 2020. As of mid-2024, it has affected over 676 million people worldwide, leading to more than 6.8 million deaths. Systematic reviews and meta-analyses of COVID-19 metabolomics studies have revealed consistent biomarkers reflecting immune response, inflammation, energy metabolism, oxidative stress, and liver dysfunction. COVID-19’s impact has varied across epidemiological waves. Methods: In this study, we evaluated clinical, laboratory, and metabolomic data from 42 hospitalized COVID-19 patients in Mexico during the third and fourth waves (Delta and Omicron). A targeted metabolomics assay (TMIC MEGA Assay) was used to quantify 529 metabolites and lipids in plasma samples. The metabolomic profiles of these 42 samples were compared according to different factors such as age, gender, comorbidities, and vaccination status. Additionally, 82 hospitalized patients from the Alfa COVID-19 strain (2020) were compared with the 42 patients from the Delta and Omicron epidemiological waves. Results: Among the 21 families of compounds evaluated in this study, amino acids and lipids were the most dysregulated when comparing age, gender, comorbidities, vaccination status, and epidemiological waves. Conclusion: This comprehensive analysis enhances the/our understanding of COVID-19’s clinical and metabolic impact across different epidemic waves, aiding in the identification of metabolic factors affecting patient outcomes.
DOI: 10.17632/4c3tj9rkx5.2
title: Ebony State Primary and Secondary (NDVI) Monthly Prevalence Weather Dataset (2010-2018)

description: The weather data was collected primarily from Nigerian metrological Agency (NiMet) records from 2010-2018, while normalized difference vegetation index (NDVI) data was generated through remote application of sentinel-2 and both data was deployed to evaluate and monitor the mean temperature, relative humidity, precipitation growth rate of maize and rice. Specifically circular rice production assumption was examined by obtained values of NDVI in previous years and subsequent years.
Note: The NDVI data was outsource using European Senitel-2, the data cannot be obtained from NiMet at the time of the study, however, can be made available upon request. Also there exist little discrepancy between NiMET data and Senitel-2 imagery at high spatial resolution values. To reduce possible flawed data, average value of both were used.
DOI: 10.15468/dl.zvtdxy
title: Occurrence Download

description: A dataset containing 108 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Mimosa iperoensis Hoehne"
 ]
}

 The dataset includes 108 records from 39 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000451-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17632/3jrgnkjssz.1
title: Evaluating Cancer Risk in a Large Cohort of 25,008 Vitiligo Patients: Insights from a Comprehensive Cohort Population-Based Study

description: Supplementary Tables
DOI: 10.17632/z8km7746tp.1
title: Mechanical signaling through membrane tension induces somal translocation during neuronal migration

description: Neurons migrate in a saltatory manner by repeating two distinct steps: extension of the leading process and translocation of the cell body. The former step is critical for determining the migratory route in response to extracellular guidance cues. In the latter step, neurons must generate robust forces that translocate the bulky soma against mechanical barriers of the surrounding three-dimensional environment. However, the link between the leading process extension and subsequent somal translocation remains unknown. By using scanning ion conductance microscopy, we show that leading process extension increases plasma membrane tension. The tension elevation activated mechanosensitive ion channels and triggered Ca2+ influx, leading to actomyosin activation at the rear of the cell. Blockade of this signaling pathway disturbed somal translocation, thereby inhibiting neuronal migration in three-dimensional environments. Thus, mechanical signaling through plasma membrane tension links the leading process extension to somal translocation, allowing rapid and saltatory neuronal migration.
DOI: 10.17632/z8km7746tp.2
title: Mechanical signaling through membrane tension induces somal translocation during neuronal migration

description: Neurons migrate in a saltatory manner by repeating two distinct steps: extension of the leading process and translocation of the cell body. The former step is critical for determining the migratory route in response to extracellular guidance cues. In the latter step, neurons must generate robust forces that translocate the bulky soma against mechanical barriers of the surrounding three-dimensional environment. However, the link between the leading process extension and subsequent somal translocation remains unknown. By using scanning ion conductance microscopy, we show that leading process extension increases plasma membrane tension. The tension elevation activated mechanosensitive ion channels and triggered Ca2+ influx, leading to actomyosin activation at the rear of the cell. Blockade of this signaling pathway disturbed somal translocation, thereby inhibiting neuronal migration in three-dimensional environments. Thus, mechanical signaling through plasma membrane tension links the leading process extension to somal translocation, allowing rapid and saltatory neuronal migration.
DOI: 10.17632/n7bmphcf7f.1
title: Supplemental data files for: Intraplate Seismic Mechanisms in the Zhangjiakou-Bohai Seismic Belt: Insights from Magnetotelluric Data

description: Supplemental data files for: Intraplate Seismic Mechanisms in the Zhangjiakou-Bohai Seismic Belt: Insights from Magnetotelluric Data
DOI: 10.17632/n7bmphcf7f.2
title: Supplemental data files for: Intraplate Seismic Mechanisms in the Zhangjiakou-Bohai Seismic Belt: Insights from Magnetotelluric Data

description: Supplemental data files for: Intraplate Seismic Mechanisms in the Zhangjiakou-Bohai Seismic Belt: Insights from Magnetotelluric Data
DOI: 10.15468/dl.veg2tg
title: Occurrence Download

description: A dataset containing 664 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Salvadora bairdi Jan, 1860"
 ]
}

 The dataset includes 664 records from 40 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000452-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.kxers5
title: Occurrence Download

description: A dataset containing 153645 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Madagascar",
 "DatasetKey is one of (Geneva Herbarium – General Collection (G), The vascular plants collection (P) at the Herbarium of the Muséum national d'Histoire Naturelle (MNHN - Paris))",
 "TaxonKey is Plantae"
 ]
}

 The dataset includes 153645 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000393-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.wksz6s
title: Occurrence Download

description: A dataset containing 1395973 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Pentatomidae"
 ]
}

 The dataset includes 1395973 records from 2578 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000361-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.bynnk7
title: Occurrence Download

description: A dataset containing 5855 species occurrences available in GBIF matching the query:
{
 "and" : [
 "OccurrenceStatus is Present",
 "TaxonKey is Lycoris radiata (L'Hér.) Herb."
 ]
}

 The dataset includes 5855 records from 122 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0020301-250402121839773/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.e2ztre
title: Occurrence Download

description: A dataset containing 3 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is SH1317510.09FU"
 ]
}

 The dataset includes 3 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000989-250221090833381/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.snrt7j
title: Occurrence Download

description: A dataset containing 477 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Pseudoleskeella papillosa (Lindb.) Kindb.",
 "Year 1970-2025"
 ]
}

 The dataset includes 477 records from 25 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000990-250221090833381/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.gc3pqs
title: Occurrence Download

description: A dataset containing 1 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is SH1048761.09FU"
 ]
}

 The dataset includes 1 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000991-250221090833381/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.zmxuuh
title: Occurrence Download

description: A dataset containing 3 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is SH1317510.09FU"
 ]
}

 The dataset includes 3 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000992-250221090833381/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.34740/kaggle/dsv/10820414
title: ⏳ endoflife.date database (duckdb)
DOI: 10.15468/dl.v574de
title: Occurrence Download

description: A dataset containing 2365 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Cuscuta australis R.Br."
 ]
}

 The dataset includes 2365 records from 203 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000993-250221090833381/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.rrzrsu
title: Occurrence Download

description: A dataset containing 850 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Cuscuta chinensis Lam."
 ]
}

 The dataset includes 850 records from 61 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000994-250221090833381/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ccavpy
title: Occurrence Download

description: A dataset containing 3779 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Cuscuta lupuliformis Krock."
 ]
}

 The dataset includes 3779 records from 76 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000995-250221090833381/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.