cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.12803327
title: Hydrothermal Fluid Activity on Mars Recorded in Phosphates of the Gabbroic Shergottite Northwest Africa 13581

description: This is the research data related to the manuscript titled: Hydrothermal Fluid Activity on Mars Recorded in Phosphates of the Gabbroic Shergottite Northwest Africa 13581, including the the petrological and elemental mapping images, geochemical and crystallographic data.
DOI: 10.15468/dl.d4p5se
title: Occurrence Download

description: A dataset listing the 18780 species recorded in GBIF matching the query:
{
 "DatasetKey" : [
 "is FishBase Database"
 ]
}

 The dataset's 18780 records were derived from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0034518-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.znpm2w
title: Occurrence Download

description: A dataset containing 731043 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is FishBase Database"
 ]
}

 The dataset includes 731043 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0034517-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.12803945
title: Dataset of paper "Assessment of Photoactivated Chlorophyllin Production of Singlet Oxygen and Inactivation of Foodborne Pathogens"

description: Dataset of paper "Assessment of Photoactivated Chlorophyllin Production of Singlet Oxygen and Inactivation of Foodborne Pathogens"
DOI: 10.5281/zenodo.12803946
title: Dataset of paper "Assessment of Photoactivated Chlorophyllin Production of Singlet Oxygen and Inactivation of Foodborne Pathogens"

description: Dataset of paper "Assessment of Photoactivated Chlorophyllin Production of Singlet Oxygen and Inactivation of Foodborne Pathogens"
DOI: 10.15468/dl.8debtg
title: Occurrence Download

description: A dataset containing 1100 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Crotalus molossus nigrescens Gloyd, 1936"
 ]
}

 The dataset includes 1100 records from 26 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0034522-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.rqeb2p
title: Occurrence Download

description: A dataset containing 1100 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Crotalus molossus nigrescens Gloyd, 1936"
 ]
}

 The dataset includes 1100 records from 26 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0034523-240626123714530/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.26362180
title: Supplementary Material for: Changes in mutations of cell-free DNA and liver tumor tissue in patients with advanced hepatocellular carcinoma before and after introduction of lenvatinib

description: Introduction: Cell-free DNA (cfDNA) is expected to contribute to the decision for treatment and prediction of effects with minimally invasion. We investigated the correlation between gene mutations before and after lenvatinib (LEN) treatment and its effectiveness, in order to find advanced hepatocellular carcinoma (HCC) patients who would benefit greatly from the therapy.
Methods: We analyzed cfDNA before and 6-8 weeks after the start of treatment in 20 advanced HCC patients started LEN. A next-generation sequencer was used for CTNNB1 and TP53. Concerning TERT promoter, -124C&gt;T and -146C&gt;T mutations are researched using digital PCR. In addition, we examined liver tumor biopsy tissues by the same method. CT evaluation was performed at 6-8 weeks and 3-4 months, to assess the efficacy.
Results: Frequencies of TERT promoter, CTNNB1 and TP53 mutations in pretreatment cfDNA were 45%, 65% and 65%, but 53%, 41% and 47% in HCC tissues, respectively. There were no clear correlations between these gene mutations and the disease-suppressing effect or progression-free survival. Overall, there were many cases showing a decrease in mutations after LEN treatment. Integrating the reduction of CTNNB1 and TP53 genetic mutations increased the potential for disease suppression.
Conclusion: This study suggests that analysis of cfDNA in advanced HCC patients may be useful for identifying LEN responders and determining therapeutic efficacy. Furthermore, it has potential for selecting responders for other molecular-targeted drugs.
DOI: 10.15468/dl.hydt2m
title: Occurrence Download

description: A dataset containing 14 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Pachypodium menabeum Leandri"
 ]
}

 The dataset includes 14 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0034524-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.5mm8vr
title: Occurrence Download

description: A dataset containing 1100 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Crotalus molossus nigrescens Gloyd, 1936"
 ]
}

 The dataset includes 1100 records from 26 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0034525-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.vgwvng
title: Occurrence Download

description: A dataset containing 1 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Maxillaria elata Schltr."
 ]
}

 The dataset includes 1 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0034526-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.r3hmtx
title: Occurrence Download

description: A dataset containing 12267 species occurrences available in GBIF matching the query:
{
 "and" : [
 "OccurrenceStatus is Present",
 "TaxonKey is Ziziphus mauritiana Lam."
 ]
}

 The dataset includes 12267 records from 274 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0034527-240626123714530/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.26362099
title: Supplementary Table 2 - Co-morbidities mentioned in the articles selected

description: Co-moribidities in pulmonary mucormycosis: Co-morbidities mentioned in the articles selected in a systematic review of the management of pulmonary mucormycosis.
DOI: 10.6084/m9.figshare.26362099.v1
title: Supplementary Table 2 - Co-morbidities mentioned in the articles selected

description: Co-moribidities in pulmonary mucormycosis: Co-morbidities mentioned in the articles selected in a systematic review of the management of pulmonary mucormycosis.
DOI: 10.15468/dl.fnsb8u
title: Occurrence Download

description: A dataset containing 46643 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is one of (Malaysia, Indonesia, Singapore)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Amaurornis phoenicurus (Pennant, 1769)"
 ]
}

 The dataset includes 46643 records from 28 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0034528-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.12804214
title: 10 Mio randomly selected PubChem SMILES strings with maximum length of 128

description: This dataset contains SMILES strings of maximum 128 token randomly selected from the PubChem database.
DOI: 10.5281/zenodo.12804215
title: 10 Mio randomly selected PubChem SMILES strings with maximum length of 128

description: This dataset contains SMILES strings of maximum 128 token randomly selected from the PubChem database.
DOI: 10.15468/dl.4vk9ut
title: Occurrence Download

description: A dataset containing 8 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Maxillaria sotoana Carnevali & Gómez-Juárez"
 ]
}

 The dataset includes 8 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0034529-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.bmmkrt
title: Occurrence Download

description: A dataset containing 71 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is China",
 "HasCoordinate is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Macaranga denticulata (Blume) Müll.Arg."
 ]
}

 The dataset includes 71 records from 13 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0034530-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.zarnq4
title: Occurrence Download

description: A dataset containing 66 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Japan",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Neohirasea japonica (de Haan, 1842)"
 ]
}

 The dataset includes 66 records from 7 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0034531-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.26179/qpcy-9487
title: Survey report Macquarie Island 2023/2024
DOI: 10.5281/zenodo.10462670
title: Translation, Cross-Cultural Adaptation and Validation of the Lymphedema Quality of Life Questionnaire (LYMQOL) in German Patients with Lymphedema of the Lower Limbs
DOI: 10.5281/zenodo.10462669
title: Translation, Cross-Cultural Adaptation and Validation of the Lymphedema Quality of Life Questionnaire (LYMQOL) in German Patients with Lymphedema of the Upper or Lower Limbs

description: Raw data collected during interviews 1 and 2.
DOI: 10.5281/zenodo.12804259
title: Translation, Cross-Cultural Adaptation and Validation of the Lymphedema Quality of Life Questionnaire (LYMQOL) in German Patients with Lymphedema of the Upper or Lower Limbs

description: Raw data collected during interviews 1 and 2.
DOI: 10.15468/dl.rxtb9u
title: Occurrence Download

description: A dataset containing 27 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((-97.06434 19.38497,-96.9403 19.38497,-96.9403 19.47912,-97.06434 19.47912,-97.06434 19.38497))",
 "HasGeospatialIssue is false",
 "TaxonKey is Psilocybe cubensis (Earle) Singer"
 ]
}

 The dataset includes 27 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0034532-240626123714530/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.26362126
title: Supplementary Table 1.xlsx

description: Supplementary Table 1: All candidate genes located within 2 Mb of significant SNPs from the genome-wide association study of leukosis resistance in Canadian dairy cattle
DOI: 10.6084/m9.figshare.26362126.v1
title: Supplementary Table 1.xlsx

description: Supplementary Table 1: All candidate genes located within 2 Mb of significant SNPs from the genome-wide association study of leukosis resistance in Canadian dairy cattle
DOI: 10.15468/dl.rt7gjr
title: Occurrence Download

description: A dataset containing 59 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is China",
 "HasCoordinate is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Macaranga denticulata (Blume) Müll.Arg.",
 "Year 1000-2024"
 ]
}

 The dataset includes 59 records from 12 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0034533-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.12804224
title: Python functions -- cross-validation methods from a data-driven perspective

description: This is the organized python functions of proposed methods in Yanwen Wang PhD research. Researchers can directly use these functions to conduct spatial+ cross-validation (SP-CV), adversarial-validation-based dissimilarity quantification method (AVD), and dissimilarity-adaptive cross-validation (DA-CV). The description of how to run codes is in Readme.txt. The descriptions of functions are in functions.docx.
DOI: 10.15151/esrf-es-1581674756
title: CryoEM-BAG France: Structural Biology using cryoEM in France

description: This proposal gathers Principal investigators from Institutions across France that use cryoEM to unravel the molecular mechanisms associated with different fundamental biological processes. Scientists belong to 10 centres that currently use CM01 for cryoEM. All the PIs in this application were part of the previous BAG MX2441, with one new member who has previously submitted samples to CM01 via rolling access. For this reason, and due to more regular use of microscope time from current users we have asked for a moderate increase in the number of shifts ( from 42 to 50).
According to our listing, over 18 projects are ready for data collection at ESRF CM01. Projects include the study of bacterial secretion systems (Bordeaux, Lyon, Paris), viruses and their infection mechanisms (Marseille), translation and its control (Bordeaux, Toulouse, Paris, Strasbourg), transcription (Strasbourg, Paris), cancer (Paris, Bordeaux, Toulouse) and macromolecular transport (Bordeaux, Lyon, Strasbourg).
DOI: 10.15468/dl.d8rba6
title: Occurrence Download

description: A dataset containing 5 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((-97.11149 19.33868,-97.00261 19.33084,-96.97212 19.40401,-96.99215 19.43624,-97.09843 19.45279,-97.11149 19.33868))",
 "HasGeospatialIssue is false",
 "TaxonKey is Psilocybe mexicana R.Heim"
 ]
}

 The dataset includes 5 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0034534-240626123714530/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.24628578.v1
title: In-depth mechanistic analysis including high-throughput RNA sequencing in the prediction of functional and structural cardiotoxicants using hiPSC cardiomyocytes

description: Cardiotoxicity remains one of the most reported adverse drug reactions that lead to drug attrition during pre-clinical and clinical drug development. Drug-induced cardiotoxicity may develop as a functional change in cardiac electrophysiology (acute alteration of the mechanical function of the myocardium) and/or as a structural change, resulting in loss of viability and morphological damage to cardiac tissue. Non-clinical models with better predictive value need to be established to improve cardiac safety pharmacology. To this end, high-throughput RNA sequencing (ScreenSeq) was combined with high-content imaging (HCI) and Ca<sup>2+</sup> transience (CaT) to analyze compound-treated human-induced pluripotent stem cell-derived cardiomyocytes (hiPSC-CMs). Analysis of hiPSC-CMs treated with 33 cardiotoxicants and 9 non-cardiotoxicants of mixed therapeutic indications facilitated compound clustering by mechanism of action, scoring of pathway activities related to cardiomyocyte contractility, mitochondrial integrity, metabolic state, diverse stress responses and the prediction of cardiotoxicity risk. The combination of ScreenSeq, HCI and CaT provided a high cardiotoxicity prediction performance with 89% specificity, 91% sensitivity and 90% accuracy. Overall, this study introduces mechanism-driven risk assessment approach combining structural, functional and molecular high-throughput methods for pre-clinical risk assessment of novel compounds.
DOI: 10.6084/m9.figshare.26191332
title: Machine learning and deep learning approaches for enhanced prediction of hERG blockade: a comprehensive QSAR modeling study

description: Cardiotoxicity is a major cause of drug withdrawal. The hERG channel, regulating ion flow, is pivotal for heart and nervous system function. Its blockade is a concern in drug development. Predicting hERG blockade is essential for identifying cardiac safety issues. Various QSAR models exist, but their performance varies. Ongoing improvements show promise, necessitating continued efforts to enhance accuracy using emerging deep learning algorithms in predicting potential hERG blockade. Using a large training dataset, six individual QSAR models were developed. Additionally, three ensemble models were constructed. All models were evaluated using 10-fold cross-validations and two external datasets. The 10-fold cross-validations resulted in Mathews correlation coefficient (MCC) values from 0.682 to 0.730, surpassing the best-reported model on the same dataset (0.689). External validations yielded MCC values from 0.520 to 0.715 for the first dataset, exceeding those of previously reported models (0–0.599). For the second dataset, MCC values fell between 0.025 and 0.215, aligning with those of reported models (0.112–0.220). The developed models can assist the pharmaceutical industry and regulatory agencies in predicting hERG blockage activity, thereby enhancing safety assessments and reducing the risk of adverse cardiac events associated with new drug candidates.
DOI: 10.6084/m9.figshare.26191332.v2
title: Machine learning and deep learning approaches for enhanced prediction of hERG blockade: a comprehensive QSAR modeling study

description: Cardiotoxicity is a major cause of drug withdrawal. The hERG channel, regulating ion flow, is pivotal for heart and nervous system function. Its blockade is a concern in drug development. Predicting hERG blockade is essential for identifying cardiac safety issues. Various QSAR models exist, but their performance varies. Ongoing improvements show promise, necessitating continued efforts to enhance accuracy using emerging deep learning algorithms in predicting potential hERG blockade. Using a large training dataset, six individual QSAR models were developed. Additionally, three ensemble models were constructed. All models were evaluated using 10-fold cross-validations and two external datasets. The 10-fold cross-validations resulted in Mathews correlation coefficient (MCC) values from 0.682 to 0.730, surpassing the best-reported model on the same dataset (0.689). External validations yielded MCC values from 0.520 to 0.715 for the first dataset, exceeding those of previously reported models (0–0.599). For the second dataset, MCC values fell between 0.025 and 0.215, aligning with those of reported models (0.112–0.220). The developed models can assist the pharmaceutical industry and regulatory agencies in predicting hERG blockage activity, thereby enhancing safety assessments and reducing the risk of adverse cardiac events associated with new drug candidates.
DOI: 10.6084/m9.figshare.26191332.v1
title: Machine learning and deep learning approaches for enhanced prediction of hERG blockade: a comprehensive QSAR modeling study

description: Cardiotoxicity is a major cause of drug withdrawal. The hERG channel, regulating ion flow, is pivotal for heart and nervous system function. Its blockade is a concern in drug development. Predicting hERG blockade is essential for identifying cardiac safety issues. Various QSAR models exist, but their performance varies. Ongoing improvements show promise, necessitating continued efforts to enhance accuracy using emerging deep learning algorithms in predicting potential hERG blockade. Using a large training dataset, six individual QSAR models were developed. Additionally, three ensemble models were constructed. All models were evaluated using 10-fold cross-validations and two external datasets. The 10-fold cross-validations resulted in Mathews correlation coefficient (MCC) values from 0.682 to 0.730, surpassing the best-reported model on the same dataset (0.689). External validations yielded MCC values from 0.520 to 0.715 for the first dataset, exceeding those of previously reported models (0 – 0.599). For the second dataset, MCC values fell between 0.025 and 0.215, aligning with those of reported models (0.112 – 0.220). The developed models can assist the pharmaceutical industry and regulatory agencies in predicting hERG blockage activity, thereby enhancing safety assessments and reducing the risk of adverse cardiac events associated with new drug candidates.
DOI: 10.15468/dl.jdh7cz
title: Occurrence Download

description: A dataset containing 5 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Mormodes dayana Rchb.f."
 ]
}

 The dataset includes 5 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0034535-240626123714530/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.24628578
title: In-depth mechanistic analysis including high-throughput RNA sequencing in the prediction of functional and structural cardiotoxicants using hiPSC cardiomyocytes

description: Cardiotoxicity remains one of the most reported adverse drug reactions that lead to drug attrition during pre-clinical and clinical drug development. Drug-induced cardiotoxicity may develop as a functional change in cardiac electrophysiology (acute alteration of the mechanical function of the myocardium) and/or as a structural change, resulting in loss of viability and morphological damage to cardiac tissue. Non-clinical models with better predictive value need to be established to improve cardiac safety pharmacology. To this end, high-throughput RNA sequencing (ScreenSeq) was combined with high-content imaging (HCI) and Ca<sup>2+</sup> transience (CaT) to analyze compound-treated human-induced pluripotent stem cell-derived cardiomyocytes (hiPSC-CMs). Analysis of hiPSC-CMs treated with 33 cardiotoxicants and 9 non-cardiotoxicants of mixed therapeutic indications facilitated compound clustering by mechanism of action, scoring of pathway activities related to cardiomyocyte contractility, mitochondrial integrity, metabolic state, diverse stress responses and the prediction of cardiotoxicity risk. The combination of ScreenSeq, HCI and CaT provided a high cardiotoxicity prediction performance with 89% specificity, 91% sensitivity and 90% accuracy. Overall, this study introduces mechanism-driven risk assessment approach combining structural, functional and molecular high-throughput methods for pre-clinical risk assessment of novel compounds.
DOI: 10.6084/m9.figshare.25702548
title: A bispecific nanosystem activates endogenous NK cells in the bone marrow for hematologic malignancies therapy

description: Source data
DOI: 10.6084/m9.figshare.25702548.v1
title: A bispecific nanosystem activates endogenous NK cells in the bone marrow for hematologic malignancies therapy

description: Source data
DOI: 10.6084/m9.figshare.25066535.v1
title: Data from ODP Leg 145 Sites 883, 887, compiled MPWP benthic stable carbon isotopes, and example code.

description: Late Pliocene orbitally-tuned age models, benthic stable isotopes, composite sections, UK'37, C37 alkenone concentration, weight percent calcium carbonate, enhanced benthic foraminiferal oxygen index, and counts of benthic foraminifera, from ODP Leg 145 Site 883 and 887 from approximately 3.4 to 2.6 million years ago and compiled benthic stable carbon isotope data from the MPWP from 28 DSDP/ODP/IODP drilling sites. Also includes example code for the bootstrapping procedure used to estimate uncertainties in the stacked stable carbon isotope values.