cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.28000305.v1
title: Deep-reinforcement-learning-based optimization for intra-urban epidemic control considering spatiotemporal orderliness

description: When planning intra-urban control measures for epidemics with significant societal impact, it is essential to consider the spatiotemporal orderliness of interventions, thus mitigating the disruption to daily life. For instance, improving intervention consistency among highly interacted sub-regions and avoid frequent and significant changes of interventions over time can be effective. However, existing studies on optimizing epidemic control overlooked the need for spatiotemporal consistency and stability of the interventions, potentially impacting their practicality and public compliance. To fill this gap, this study systematically conceptualized and quantified spatiotemporal orderliness for intra-urban epidemic control. A deep-reinforcement-learning (DRL) framework integrating the spatiotemporal orderliness was proposed to optimize the interventions across sub-regions over time. Taking Shenzhen, China as a study area, we solve a joint control plan for 74 sub-regions based on a meta-population SEIR epidemic model with a real-world intra-urban mobility network. The results demonstrate that the proposed model can effectively generate tailored dynamic interventions for sub-regions, significantly improving spatiotemporal orderliness. Furthermore, the effectiveness and generalizability of proposed model are demonstrated under different urban structures and transmissibility of respiratory viruses. Overall, this study provides a DRL-based tool for planning intra-urban epidemic control measures with enhanced spatiotemporal orderliness, potentially aiding future epidemic preparedness.
DOI: 10.21233/6hfb-cm69
title: B14 pollen surface sample dataset

description: Raw data for the B14 pollen surface sample dataset submitted to the Neotoma Paleoecology Database. Data is available through the landing page in JSON format. The landing page referenced by the DOI also contains links to publications and a map-based viewer for the dataset. The Neotoma Paleoecology Database maintains a homepage at https://www.neotomadb.org.
DOI: 10.21233/kk3w-h751
title: Hayla Cave pollen dataset

description: Raw data for the Hayla Cave pollen dataset submitted to the Neotoma Paleoecology Database. Data is available through the landing page in JSON format. The landing page referenced by the DOI also contains links to publications and a map-based viewer for the dataset. The Neotoma Paleoecology Database maintains a homepage at https://www.neotomadb.org.
DOI: 10.6084/m9.figshare.28463770
title: Exploring the mechanisms of Shugan-Jieyu-Jianpi formula against irritable bowel syndrome combined with non-alcoholic fatty liver disease by network pharmacology and experimental validation

description: The study was aimed to investigate the clinical effect and mechanism of Shugan-Jieyu-Jianpi (SGJYJP) formula for the treatment of irritable bowel syndrome (IBS) combined with non-alcoholic fatty liver disease (NAFLD). The clinical efficacy of SGJYJP was evaluated in 54 patients with IBS-NAFLD. The potential molecular mechanism of SGJYJP formula was investigated by network pharmacology. Animal models were constructed to explore the related mechanism. From clinical studies, the total effective rate of patients in SGJYJP group was significantly higher than that in pinaverium group. The protein expression of TGFB1 was declined in IBS-NAFLD rats, together with the increased expression of PTGS2 and TNF, which was abolished by SGJYJP treatment. SGJYJP significantly reduced the expression of TNF signalling related molecules of TRAF2, caspase-8, and elevated the expression of Bcl-xl in IBS-NAFLD animal models. SGJYJP may exert therapeutic effect on IBS-NAFLD by targeting PTGS2, TGFB1, and TNF genes and TNF signalling.
DOI: 10.6084/m9.figshare.28463770.v1
title: Exploring the mechanisms of Shugan-Jieyu-Jianpi formula against irritable bowel syndrome combined with non-alcoholic fatty liver disease by network pharmacology and experimental validation

description: The study was aimed to investigate the clinical effect and mechanism of Shugan-Jieyu-Jianpi (SGJYJP) formula for the treatment of irritable bowel syndrome (IBS) combined with non-alcoholic fatty liver disease (NAFLD). The clinical efficacy of SGJYJP was evaluated in 54 patients with IBS-NAFLD. The potential molecular mechanism of SGJYJP formula was investigated by network pharmacology. Animal models were constructed to explore the related mechanism. From clinical studies, the total effective rate of patients in SGJYJP group was significantly higher than that in pinaverium group. The protein expression of TGFB1 was declined in IBS-NAFLD rats, together with the increased expression of PTGS2 and TNF, which was abolished by SGJYJP treatment. SGJYJP significantly reduced the expression of TNF signalling related molecules of TRAF2, caspase-8, and elevated the expression of Bcl-xl in IBS-NAFLD animal models. SGJYJP may exert therapeutic effect on IBS-NAFLD by targeting PTGS2, TGFB1, and TNF genes and TNF signalling.
DOI: 10.6084/m9.figshare.28588592
title: Akt inhibition is effective against PTEN-deleted, chemoirradiation-resistant glioblastoma stem cells

description: Activated Akt and loss of phosphatase and tensin homolog (PTEN) tumour suppression aid chemo- and radio-resistance in glioblastoma stem cells (GSC), contributing to treatment failure in glioblastoma. In this study, sixteen GSC lines were generated from 66 individual glioma samples, in gliomasphere culture conditions. Thirteen of 16 GSC lines expressed hyperphosphorylated Akt (Ser473); Akt phosphorylation did not correlated with EGFR expression. An LDH colorimetric assay was used to measure the in vitro cytotoxicity of eight of these lines. Akt X (20 µM) proved more effective at inducing in vitro GSC cytotoxicity (range: 22-73%) over 48 hours than triciribine (20 µM) (0-27%), although both agents inhibited Akt phosphorylation as detected by western blot analysis. A statistically significant correlation between PTEN loss (western blot) and the extent of Akt X-induced cytotoxicity was found (p = 0.03). Akt inhibition reduces in vitro proliferation of treatment-resistant GSC lines, especially in PTEN-deficient lines, warranting further translational investigation in glioblastoma. Glioblastoma stem cells (GSC) are known to be resistant to radiotherapy and temozolomide chemotherapyThis treatment resistance is driven, in part, by Pi3-kinase dysregulation and PTEN lossAn Akt inhibitor, Akt X, shows preferential in vitro cytotoxic activity against PTEN-negative GSC Glioblastoma stem cells (GSC) are known to be resistant to radiotherapy and temozolomide chemotherapy This treatment resistance is driven, in part, by Pi3-kinase dysregulation and PTEN loss An Akt inhibitor, Akt X, shows preferential in vitro cytotoxic activity against PTEN-negative GSC
DOI: 10.6084/m9.figshare.28588592.v1
title: Akt inhibition is effective against PTEN-deleted, chemoirradiation-resistant glioblastoma stem cells

description: Activated Akt and loss of phosphatase and tensin homolog (PTEN) tumour suppression aid chemo- and radio-resistance in glioblastoma stem cells (GSC), contributing to treatment failure in glioblastoma. In this study, sixteen GSC lines were generated from 66 individual glioma samples, in gliomasphere culture conditions. Thirteen of 16 GSC lines expressed hyperphosphorylated Akt (Ser473); Akt phosphorylation did not correlated with EGFR expression. An LDH colorimetric assay was used to measure the in vitro cytotoxicity of eight of these lines. Akt X (20 µM) proved more effective at inducing in vitro GSC cytotoxicity (range: 22-73%) over 48 hours than triciribine (20 µM) (0-27%), although both agents inhibited Akt phosphorylation as detected by western blot analysis. A statistically significant correlation between PTEN loss (western blot) and the extent of Akt X-induced cytotoxicity was found (p = 0.03). Akt inhibition reduces in vitro proliferation of treatment-resistant GSC lines, especially in PTEN-deficient lines, warranting further translational investigation in glioblastoma. Glioblastoma stem cells (GSC) are known to be resistant to radiotherapy and temozolomide chemotherapyThis treatment resistance is driven, in part, by Pi3-kinase dysregulation and PTEN lossAn Akt inhibitor, Akt X, shows preferential in vitro cytotoxic activity against PTEN-negative GSC Glioblastoma stem cells (GSC) are known to be resistant to radiotherapy and temozolomide chemotherapy This treatment resistance is driven, in part, by Pi3-kinase dysregulation and PTEN loss An Akt inhibitor, Akt X, shows preferential in vitro cytotoxic activity against PTEN-negative GSC
DOI: 10.21233/ctm0-ty39
title: Riviere Lievre water chemistry dataset

description: Raw data for the Riviere Lievre water chemistry dataset submitted to the Neotoma Paleoecology Database. Data is available through the landing page in JSON format. The landing page referenced by the DOI also contains links to publications and a map-based viewer for the dataset. The Neotoma Paleoecology Database maintains a homepage at https://www.neotomadb.org.
DOI: 10.21233/t5ed-n387
title: Raven L. water chemistry dataset

description: Raw data for the Raven L. water chemistry dataset submitted to the Neotoma Paleoecology Database. Data is available through the landing page in JSON format. The landing page referenced by the DOI also contains links to publications and a map-based viewer for the dataset. The Neotoma Paleoecology Database maintains a homepage at https://www.neotomadb.org.
DOI: 10.6084/m9.figshare.29041574
title: Media_news_reports_of southern_China_231022.zip

description: Media news reports of southern China.
DOI: 10.6084/m9.figshare.29041574.v1
title: Media_news_reports_of southern_China_231022.zip

description: Media news reports of southern China.
DOI: 10.71694/1t0ff133
title: Marktwerte und Erzeugung Kraftwerke in Deutschland 2024

description: Der verlinkte Datensatz basiert auf stündlichen blockscharfen Erzeugungszeitreihen und Großhandelspreisen für die Marktzone Deutschland-Luxemburg für 2024 (Quelle: [SMARD.de](https://www.smard.de/home/downloadcenter/download-marktdaten/)). 
 
**Bezeichnung der Spalten:** 
Region: TSO 
Kraftwerk - Block 
Stunden ohne Daten: fehlende Einträge im Erzeugungszeitreihendatensatz 
maximale Erzeugung: höchste stündliche Erzeugung in 2024 
Stunden ohne Erzeugung 
Stunden mit negativem Erloes: Stunden in 2024 mit negativen Großhandelspreisen, in denen dieser Kraftwerksblock eine Erzeugung größer Null hat 
Gesamterzeugung 
Gesamterloes: Aufsummierte stündliche Erzeugung multipliziert mit dem jeweiligen stündlichen Großhandelspreis 
Marktwert: Gesamterloes geteilt durch Gesamterzeugung
DOI: 10.21233/tkwz-ph59
title: North 5 testate amoebae surface sample dataset

description: Raw data for the North 5 testate amoebae surface sample dataset submitted to the Neotoma Paleoecology Database. Data is available through the landing page in JSON format. The landing page referenced by the DOI also contains links to publications and a map-based viewer for the dataset. The Neotoma Paleoecology Database maintains a homepage at https://www.neotomadb.org.
DOI: 10.21233/zv6t-qw20
title: Shelter Cave vertebrate fauna dataset

description: Raw data for the Shelter Cave vertebrate fauna dataset submitted to the Neotoma Paleoecology Database. Data is available through the landing page in JSON format. The landing page referenced by the DOI also contains links to publications and a map-based viewer for the dataset. The Neotoma Paleoecology Database maintains a homepage at https://www.neotomadb.org.
DOI: 10.21233/94gq-gn81
title: Lenora Lake water chemistry dataset

description: Raw data for the Lenora Lake water chemistry dataset submitted to the Neotoma Paleoecology Database. Data is available through the landing page in JSON format. The landing page referenced by the DOI also contains links to publications and a map-based viewer for the dataset. The Neotoma Paleoecology Database maintains a homepage at https://www.neotomadb.org.
DOI: 10.21233/131b-7366
title: LDDsite2463 ostracode surface sample dataset

description: Raw data for the LDDsite2463 ostracode surface sample dataset submitted to the Neotoma Paleoecology Database. Data is available through the landing page in JSON format. The landing page referenced by the DOI also contains links to publications and a map-based viewer for the dataset. The Neotoma Paleoecology Database maintains a homepage at https://www.neotomadb.org.
DOI: 10.21233/0nxh-r981
title: LDDsite551 water chemistry dataset

description: Raw data for the LDDsite551 water chemistry dataset submitted to the Neotoma Paleoecology Database. Data is available through the landing page in JSON format. The landing page referenced by the DOI also contains links to publications and a map-based viewer for the dataset. The Neotoma Paleoecology Database maintains a homepage at https://www.neotomadb.org.
DOI: 10.15468/dl.bpv9cx
title: Occurrence Download

description: A dataset containing 12425 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((-71 -32,-70 -32,-70 -31,-71 -31,-71 -32))",
 "OccurrenceStatus is Present"
 ]
}

 The dataset includes 12425 records from 73 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0026589-250426092105405/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.21233/pr7k-n514
title: Hungary Lake water chemistry dataset

description: Raw data for the Hungary Lake water chemistry dataset submitted to the Neotoma Paleoecology Database. Data is available through the landing page in JSON format. The landing page referenced by the DOI also contains links to publications and a map-based viewer for the dataset. The Neotoma Paleoecology Database maintains a homepage at https://www.neotomadb.org.
DOI: 10.21233/722m-7c47
title: LDDsite3777 ostracode surface sample dataset

description: Raw data for the LDDsite3777 ostracode surface sample dataset submitted to the Neotoma Paleoecology Database. Data is available through the landing page in JSON format. The landing page referenced by the DOI also contains links to publications and a map-based viewer for the dataset. The Neotoma Paleoecology Database maintains a homepage at https://www.neotomadb.org.
DOI: 10.7916/7w5y-td77
title:  Data: Regional contribution of anthropogenic carbon monoxide in the Asian summer monsoon upper troposphere and lower stratosphere
DOI: 10.21233/4rbd-vj91
title: LDDsite3938 ostracode surface sample dataset

description: Raw data for the LDDsite3938 ostracode surface sample dataset submitted to the Neotoma Paleoecology Database. Data is available through the landing page in JSON format. The landing page referenced by the DOI also contains links to publications and a map-based viewer for the dataset. The Neotoma Paleoecology Database maintains a homepage at https://www.neotomadb.org.
DOI: 10.7910/dvn/llkxtb
title: Replication Data for: Do Alliance Abandonment and Coercion Increase Support for Nuclear Weapons? An Elite Survey in NATO

description: Alliances are central to U.S. nuclear nonproliferation efforts. Many scholars suggest that actions which might undermine allies’ faith in or dependence on the United States will in turn increase their interest in nuclear weapons. Yet this prediction has received only limited empirical attention. This research note tests whether U.S. signals of abandonment and efforts to encourage allied burden-sharing using threats of abandonment increase support for nuclear weapons acquisition, using a survey of foreign policy elites from sixteen European NATO members. The findings suggest U.S. threats to abandon allies unless they increase defense spending modestly increase support for nuclear weapons, but not as much as unconditional signals of diminished commitment such as a withdrawal of U.S. troops. The findings suggest that while U.S. signals of abandonment may undermine nonproliferation, there is less evidence that U.S. coercion has the same effect, or that there is a direct tradeoff between burden-sharing and nonproliferation.
DOI: 10.15468/dl.du3u3p
title: Occurrence Download

description: A dataset containing 12425 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((-71 -32,-70 -32,-70 -31,-71 -31,-71 -32))",
 "OccurrenceStatus is Present"
 ]
}

 The dataset includes 12425 records from 73 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0026590-250426092105405/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.21233/me48-t173
title: BLACK ICE pollen surface sample dataset

description: Raw data for the BLACK ICE pollen surface sample dataset submitted to the Neotoma Paleoecology Database. Data is available through the landing page in JSON format. The landing page referenced by the DOI also contains links to publications and a map-based viewer for the dataset. The Neotoma Paleoecology Database maintains a homepage at https://www.neotomadb.org.
DOI: 10.21233/1e99-v944
title: Lake Northwood diatom dataset

description: Raw data for the Lake Northwood diatom dataset submitted to the Neotoma Paleoecology Database. Data is available through the landing page in JSON format. The landing page referenced by the DOI also contains links to publications and a map-based viewer for the dataset. The Neotoma Paleoecology Database maintains a homepage at https://www.neotomadb.org.
DOI: 10.15468/dl.55z3pa
title: Occurrence Download

description: A dataset containing 1393 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Rosa indica L."
 ]
}

 The dataset includes 1393 records from 82 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0026591-250426092105405/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.21233/y6zb-1h12
title: Williams Lake water chemistry dataset

description: Raw data for the Williams Lake water chemistry dataset submitted to the Neotoma Paleoecology Database. Data is available through the landing page in JSON format. The landing page referenced by the DOI also contains links to publications and a map-based viewer for the dataset. The Neotoma Paleoecology Database maintains a homepage at https://www.neotomadb.org.
DOI: 10.6084/m9.figshare.29040352
title: Predicting acute toxicity of pesticides towards <i>Daphnia magna</i> with random forest algorithm

description: A large number of pesticides are released into the environment, resulting in serious threat for aquatic organisms. In this work, 15 quantum chemical descriptors were used to develop a quantitative structure–activity/toxicity relationship (QSAR/QSTR) model for toxicity pEC<sub>50</sub> of 745 pesticides towards <i>Daphnia magna</i>, by using random forest algorithm. The optimal QSTR model in this paper yielded a coefficient of determination of 0.828, root-mean-square error of 0.798, and mean absolute error of 0.628 for the test set of 149 pesticides, which are accurate values compared with those of QSTR models published recently. Research has revealed that increasing molecular size (or molar volume), the most positive atomic Mulliken (or APT) charge with hydrogens summed into heavy, and the highest occupied molecular orbital (HOMO) energy, can result in higher toxicity pEC<sub>50</sub>. Increasing the lowest unoccupied molecular orbital (LUMO) energy and the HOMO and LUMO energy gap can lead to lower toxicity pEC<sub>50</sub>.
DOI: 10.6084/m9.figshare.29040352.v1
title: Predicting acute toxicity of pesticides towards <i>Daphnia magna</i> with random forest algorithm

description: A large number of pesticides are released into the environment, resulting in serious threat for aquatic organisms. In this work, 15 quantum chemical descriptors were used to develop a quantitative structure–activity/toxicity relationship (QSAR/QSTR) model for toxicity pEC<sub>50</sub> of 745 pesticides towards <i>Daphnia magna</i>, by using random forest algorithm. The optimal QSTR model in this paper yielded a coefficient of determination of 0.828, root-mean-square error of 0.798, and mean absolute error of 0.628 for the test set of 149 pesticides, which are accurate values compared with those of QSTR models published recently. Research has revealed that increasing molecular size (or molar volume), the most positive atomic Mulliken (or APT) charge with hydrogens summed into heavy, and the highest occupied molecular orbital (HOMO) energy, can result in higher toxicity pEC<sub>50</sub>. Increasing the lowest unoccupied molecular orbital (LUMO) energy and the HOMO and LUMO energy gap can lead to lower toxicity pEC<sub>50</sub>.
DOI: 10.6084/m9.figshare.29040355
title: Read-across-driven binary classification for the developmental and reproductive toxicity of organic compounds tested according to the OECD test guidelines 421/422

description: Developmental and reproductive toxicity (DART) refers to the adverse effects on sexual function, fertility, and the development of offspring resulting from exposure to toxic substances or chemicals, which may occur at various stages of the reproductive cycle. In response to the increasing volume of chemicals, regulatory bodies advocate for implementing various new approach methodologies (NAMs) as alternatives to animal testing, enabling rapid assessments of the toxic potential of numerous chemical substances. In this study, in silico methodologies were utilized to assess the DART properties of various industrial chemicals. We employed a Read-Across (RA)-based binary classification approach to evaluate the DART potential of these chemicals. The data for the binary classification have been compiled from two distinct sources: eChemPortal (https://www.echemportal.org/echemportal/) and the National Institute of Health Sciences (NIHS) databases. The information gathered from these sources encompasses two types of toxicity data: No Observed Adverse Effect Level (NOAEL) and Low Observed Adverse Effect Level (LOAEL) tested as per the Organisation for Economic Co-operation and Development Test Guidelines 421 and 422, adopting the principles of Good Laboratory Practice (GLP). The data were utilized separately for safety assessment through a binary classification-based read-across prediction, demonstrating commendable classification capabilities for new chemicals (Accuracy<sub>test</sub> ~0.700).