cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15468/dl.nwn4g2
title: Occurrence Download

description: A dataset containing 12 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Neophyllachora",
 "HasCoordinate is true"
 ]
}

 The dataset includes 12 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0027931-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.vhv8rz
title: Occurrence Download

description: A dataset containing 49 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is one of (China, Hong Kong, Macao)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Sophora alopecuroides",
 "Year 1990-2025"
 ]
}

 The dataset includes 49 records from 9 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0027933-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.83vj96
title: Occurrence Download

description: A dataset containing 1886 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is France",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Orgyia antiqua",
 "Year 2000-2025"
 ]
}

 The dataset includes 1886 records from 242 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0027932-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.5atr6r
title: Occurrence Download

description: A dataset containing 10450032 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((-7.69642 37.45974,-7.33338 36.95858,-6.65564 36.14525,-6.22006 36.12245,-5.6876 35.8875,-4.55008 36.06378,-3.13455 36.51563,-1.60979 36.84559,-1.80341 38.17027,-2.91673 38.94622,-4.5867 38.79547,-5.65162 38.81433,-7.22478 38.39824,-7.69642 37.45974))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Aves"
 ]
}

 The dataset includes 10450032 records from 124 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0027882-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.m3pu32
title: Occurrence Download

description: A dataset containing 25 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Acusta assimilis"
 ]
}

 The dataset includes 25 records from 9 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0027934-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.17814305
title: Advancing waste valorization and end-of-life strategies in the bioeconomy - Supplementary material

description: Tables included in the supplementary material of the article: "Advancing waste valorization and end-of-life strategies in the bioeconomy through multi-criteria approaches and the safe and sustainable by design framework”
DOI: 10.5281/zenodo.17814306
title: Advancing waste valorization and end-of-life strategies in the bioeconomy - Supplementary material

description: Tables included in the supplementary material of the article: "Advancing waste valorization and end-of-life strategies in the bioeconomy through multi-criteria approaches and the safe and sustainable by design framework”
DOI: 10.15468/dl.zg9svq
title: Occurrence Download

description: A dataset containing 9029 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Elephas maximus",
 "HasCoordinate is TRUE"
 ]
}

 The dataset includes 9029 records from 43 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0027935-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.82261/9b91-6e48
title: The Corpus of Anglo-Saxon Stone Sculpture
DOI: 10.17026/ar/saoy0d
title: PAN-00113077 - strigiles-set

description: &lt;p&gt;This find is registered at Portable Antiquities of the Netherlands with number PAN-00113077&lt;/p&gt;
description: Modified: 2025-09-09T17:41:04+02:00
DOI: 10.15468/dl.xmdczz
title: Occurrence Download

description: A dataset containing 2617 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is United Kingdom of Great Britain and Northern Ireland",
 "TaxonKey is Incurvariidae"
 ]
}

 The dataset includes 2617 records from 63 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0027936-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.57760/sciencedb.32912
title: Network pharmacological analysis of nobiletin in anti-breast cancer
title: 川陈皮素抗乳腺癌的网络药理学分析

description: 1. Acquisition of the target of nobiletin: using "nobiletin" as the keyword, the targets were obtained in the SEA database (https://sea.bkslab.org/, set P&lt;0.05, species as HUMAN) and the TargetNet database (http: / / targetnet.scbdd.com/, AUC 0.7 or higher installed, the fingerprint type ECFP4), Swiss Target Prediction database (http://www.swisstargetprediction.ch/, Set the Probability&gt; 0 and the CTD database (https://ctdbase.org /) for retrieval. After merging and de-duplication of the obtained targets, the potential targets of nobiletin were finally obtained.2. Acquisition of breast cancer targets: With "breast cancer" as the key word, In Genecards database (https://www.genecards.org/) (the set Relevance Score &gt; 10), OMIM database (https://omim.org/search/advanced/geneMap), providing database (https://db.idrblab.net/ttd/) and DisGeNet database (https://disg The search was conducted on enet.com/), the obtained targets were combined and duplicated, and finally the targets related to breast cancer disease were obtained3. The Venny2.1.0 platform (https://bioinfogp.cnb.csic.es/tools/venny/) will be potential targets for sichuan and dried tangerine or orange peel element targets related to breast cancer disease targets in intersection, intersection targets.4 The above-mentioned intersection targets were subjected to GO functional annotation and KEGG pathway enrichment analysis using R language. The significantly enriched items were screened out with P &lt; 0.01 as the significance threshold.
description: 1. Acquisition of the target of nobiletin: using "nobiletin" as the keyword, the targets were obtained in the SEA database (https://sea.bkslab.org/, set P&lt;0.05, species as HUMAN) and the TargetNet database (http: / / targetnet.scbdd.com/, AUC 0.7 or higher installed, the fingerprint type ECFP4), Swiss Target Prediction database (http://www.swisstargetprediction.ch/, Set the Probability&gt; 0 and the CTD database (https://ctdbase.org /) for retrieval. After merging and de-duplication of the obtained targets, the potential targets of nobiletin were finally obtained.2. Acquisition of breast cancer targets: With "breast cancer" as the key word, In Genecards database (https://www.genecards.org/) (the set Relevance Score &gt; 10), OMIM database (https://omim.org/search/advanced/geneMap), providing database (https://db.idrblab.net/ttd/) and DisGeNet database (https://disg The search was conducted on enet.com/), the obtained targets were combined and duplicated, and finally the targets related to breast cancer disease were obtained3. The Venny2.1.0 platform (https://bioinfogp.cnb.csic.es/tools/venny/) will be potential targets for sichuan and dried tangerine or orange peel element targets related to breast cancer disease targets in intersection, intersection targets.4 The above-mentioned intersection targets were subjected to GO functional annotation and KEGG pathway enrichment analysis using R language. The significantly enriched items were screened out with P &lt; 0.01 as the significance threshold.
DOI: 10.57760/sciencedb.22680
title: Resequencing data for Cotton
title: Resequencing data for Cotton

description: Resequencing data for F2 （ZY220 × ZY043）This directory contains re-sequencing data (raw sequencing data) for 200 F₂ individuals. The F₂ population was derived by crossing ZY220 (a long-fiber material) as the paternal parent and ZY043 (a short-fiber material) as the maternal parent, resulting in an F₂ population of 1888 individuals.Based on the fiber phenotype of the F₂ individuals, we selected 100 extreme short-fiber materials and 100 extreme long-fiber materials. These 200 individuals are named using their corresponding numbers as the filename prefix.The file HY2_totalSample.txt contains the phenotype data for all 1888 F₂ individuals. In this phenotype file, the first column follows the format X_Y_Z, where:X represents the F₂ cross combination number.Y represents the material number within that F₂ combination.Z represents the technical replicate number.
description: Resequencing data for F2 （ZY220 × ZY043）This directory contains re-sequencing data (raw sequencing data) for 200 F₂ individuals. The F₂ population was derived by crossing ZY220 (a long-fiber material) as the paternal parent and ZY043 (a short-fiber material) as the maternal parent, resulting in an F₂ population of 1888 individuals.Based on the fiber phenotype of the F₂ individuals, we selected 100 extreme short-fiber materials and 100 extreme long-fiber materials. These 200 individuals are named using their corresponding numbers as the filename prefix.The file HY2_totalSample.txt contains the phenotype data for all 1888 F₂ individuals. In this phenotype file, the first column follows the format X_Y_Z, where:X represents the F₂ cross combination number.Y represents the material number within that F₂ combination.Z represents the technical replicate number.
DOI: 10.57760/sciencedb.j00265.00019
title: Dataset and prediction model construction of melting enthalpy of binary molten salt systems and their performance research
title: 二元熔盐体系熔化焓的数据集及其预测模型构建与性能研究

description: This study systematically collected experimental data on the melting enthalpy of binary molten salt systems, including chloride, nitrate, and carbonate salts. Based on this, four empirical prediction models were established, namely logarithmic form (Model I), linear additive form (Model II), fractional form (Model III), and power-law form (Model IV). Furthermore, the predicted values of each model were compared with the experimental values, and the errors were calculated. The results showed that Model III, using a fractional form, exhibited the best prediction accuracy, with a total average error of only 0.07 between the predicted and experimental values. This indicates a fractional nonlinear relationship between the melting enthalpy of mixed molten salts and their different components. Model I had the second-highest prediction accuracy, while Models II and IV had larger prediction errors compared to the former two models. The prediction accuracy of each model for chloride and carbonate systems was higher than that for the nitrate system, which is believed to be related to the more complex spatial structure and stronger steric hindrance effect of nitrate ions. This study provides reliable models for the rapid prediction of melting enthalpy, a key thermal property of binary molten salts, and offers a reference and basis for the subsequent extension of prediction models to multi-component molten salt systems.
description: This study systematically collected experimental data on the melting enthalpy of binary molten salt systems, including chloride, nitrate, and carbonate salts. Based on this, four empirical prediction models were established, namely logarithmic form (Model I), linear additive form (Model II), fractional form (Model III), and power-law form (Model IV). Furthermore, the predicted values of each model were compared with the experimental values, and the errors were calculated. The results showed that Model III, using a fractional form, exhibited the best prediction accuracy, with a total average error of only 0.07 between the predicted and experimental values. This indicates a fractional nonlinear relationship between the melting enthalpy of mixed molten salts and their different components. Model I had the second-highest prediction accuracy, while Models II and IV had larger prediction errors compared to the former two models. The prediction accuracy of each model for chloride and carbonate systems was higher than that for the nitrate system, which is believed to be related to the more complex spatial structure and stronger steric hindrance effect of nitrate ions. This study provides reliable models for the rapid prediction of melting enthalpy, a key thermal property of binary molten salts, and offers a reference and basis for the subsequent extension of prediction models to multi-component molten salt systems.
DOI: 10.15468/dl.egtjc5
title: Occurrence Download

description: A dataset containing 570 species occurrences available in GBIF matching the query:
{
 "and" : [
 "OccurrenceStatus is Present",
 "TaxonKey is Crambe strigosa"
 ]
}

 The dataset includes 570 records from 60 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0027937-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.57760/sciencedb.32899
title: Temperature measurement data from boreholes at the Southwestern Margin of the Huangling Dome
title: Temperature measurement data from boreholes at the Southwestern Margin of the Huangling Dome

description: Temperature logs were obtained from seven boreholes (ZK1–ZK7) drilled for engineering investigation. Borehole depths range from 220 to 1010.4 m, which allows for capturing steady-state geothermal gradients at sufficient depths, minimizing influences from shallow, transient temperature fluctuations. Temperature logging was conducted using a miniaturized temperature data logger made by Fa. Antares and the University of Breme. The instrument, calibrated to a resolution of 1 mK and an accuracy of 0.1 K, was selected to meet the requirements for the precise detection of subtle subsurface temperature variations. All measured borehole intervals were below the groundwater level. Measurements were taken at intervals of 5 or 10 m to sample the temperature profiles. Limited by factors such as the measuring cable length and borehole collapse, some boreholes were not logged to the bottom. The maximum measurement depth is 780 m. To ensure the reliability of the temperature data, all boreholes were left undisturbed for more than 22 days before logging to minimize the disturbance of drilling activities on the temperature profiles. Among them, the ZK4 borehole exhibited the longest shut-in time, exceeding 3.5 years.
description: Temperature logs were obtained from seven boreholes (ZK1–ZK7) drilled for engineering investigation. Borehole depths range from 220 to 1010.4 m, which allows for capturing steady-state geothermal gradients at sufficient depths, minimizing influences from shallow, transient temperature fluctuations. Temperature logging was conducted using a miniaturized temperature data logger made by Fa. Antares and the University of Breme. The instrument, calibrated to a resolution of 1 mK and an accuracy of 0.1 K, was selected to meet the requirements for the precise detection of subtle subsurface temperature variations. All measured borehole intervals were below the groundwater level. Measurements were taken at intervals of 5 or 10 m to sample the temperature profiles. Limited by factors such as the measuring cable length and borehole collapse, some boreholes were not logged to the bottom. The maximum measurement depth is 780 m. To ensure the reliability of the temperature data, all boreholes were left undisturbed for more than 22 days before logging to minimize the disturbance of drilling activities on the temperature profiles. Among them, the ZK4 borehole exhibited the longest shut-in time, exceeding 3.5 years.
DOI: 10.57760/sciencedb.32865
title: Modeling and Verification of Optical Mechanical Coupling for Large Aperture Optical Components Based on Flexure Back Support
title: 基于柔性背支撑的大口径光学元件光机耦合建模与验证

description: In petawatt-class picosecond laser facilities, the surface figure and pointing accuracy of terminal optics directly determine the on-target focal-spot power density. For large-aperture transport mirrors arranged in compact arrays within limited space, the opto-mechanical mounting structure introduces additional deformations under clamping, attitude adjustment, and gravity loading, which can significantly degrade the system wavefront quality. To enable structural design and surface-figure feed-forward prediction, this study proposes an opto-mechanical coupled simulation framework based on Mindlin moderate-thickness plate theory, compliance relations, and surface-figure superposition. The model enables rapid prediction and optimization of figure responses under various attitudes and alignment conditions. Experiments demonstrate that the deviations between predicted and interferometrically measured PV and GRMS values are within 7.43% and 5%, respectively, with residual surface-figure RMS around 25 nm. Compared with finite-element analysis and black-box data-driven models, the proposed method achieves comparable accuracy while offering substantially higher computational efficiency, better functional extensibility, and improved interpretability of the underlying mechanical behavior.
description: In petawatt-class picosecond laser facilities, the surface figure and pointing accuracy of terminal optics directly determine the on-target focal-spot power density. For large-aperture transport mirrors arranged in compact arrays within limited space, the opto-mechanical mounting structure introduces additional deformations under clamping, attitude adjustment, and gravity loading, which can significantly degrade the system wavefront quality. To enable structural design and surface-figure feed-forward prediction, this study proposes an opto-mechanical coupled simulation framework based on Mindlin moderate-thickness plate theory, compliance relations, and surface-figure superposition. The model enables rapid prediction and optimization of figure responses under various attitudes and alignment conditions. Experiments demonstrate that the deviations between predicted and interferometrically measured PV and GRMS values are within 7.43% and 5%, respectively, with residual surface-figure RMS around 25 nm. Compared with finite-element analysis and black-box data-driven models, the proposed method achieves comparable accuracy while offering substantially higher computational efficiency, better functional extensibility, and improved interpretability of the underlying mechanical behavior.
DOI: 10.15468/dl.eh2fzu
title: Occurrence Download

description: A dataset containing 1 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Brackelia",
 "HasCoordinate is true"
 ]
}

 The dataset includes 1 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0027939-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.57760/sciencedb.j00217.10754
title: Research Progress in the Molecular Mechanisms of Exercise-Mediated Immunoregulation
title: 运动调控免疫系统的分子机制研究进展

description: Regular exercise is recognized as an effective strategy for preventing and managing inflammatory, metabolic, and autoimmune diseases, as well as malignancies. These benefits are largely mediated through the immune system via a multi-level regulatory network. On one hand, exercise modulates immune responses through mechanisms such as mechanical stress sensing, neuroendocrine regulation, and metabolic reprogramming. On the other hand, exerkines—such as IL-6 and irisin—released by skeletal muscle and other tissues, cooperate with the remodeled gut microbiota to form a cross-organ signaling network. These signals exert bidirectional immunomodulatory effects by guiding immune cell chemotaxis and migration, reprogramming cellular metabolic patterns, regulating key immune-related pathways, and inducing epigenetic modifications. As a result, exercise promotes an anti-inflammatory phenotype in chronic inflammatory conditions while enhancing immune surveillance in the tumor microenvironment. This review systematically elucidates the molecular mechanisms by which exercise regulates the immune system, providing a theoretical foundation for translating basic research in exercise immunology into clinical practice.
description: Regular exercise is recognized as an effective strategy for preventing and managing inflammatory, metabolic, and autoimmune diseases, as well as malignancies. These benefits are largely mediated through the immune system via a multi-level regulatory network. On one hand, exercise modulates immune responses through mechanisms such as mechanical stress sensing, neuroendocrine regulation, and metabolic reprogramming. On the other hand, exerkines—such as IL-6 and irisin—released by skeletal muscle and other tissues, cooperate with the remodeled gut microbiota to form a cross-organ signaling network. These signals exert bidirectional immunomodulatory effects by guiding immune cell chemotaxis and migration, reprogramming cellular metabolic patterns, regulating key immune-related pathways, and inducing epigenetic modifications. As a result, exercise promotes an anti-inflammatory phenotype in chronic inflammatory conditions while enhancing immune surveillance in the tumor microenvironment. This review systematically elucidates the molecular mechanisms by which exercise regulates the immune system, providing a theoretical foundation for translating basic research in exercise immunology into clinical practice.
DOI: 10.15468/dl.8dj3rk
title: Occurrence Download

description: A dataset containing 514 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Human Observation",
 "Country is United Kingdom of Great Britain and Northern Ireland",
 "DatasetKey is one of (iNaturalist Research-grade Observations, Birda - Global Observation Dataset)",
 "Geometry POLYGON((-0.87928 53.5482,0.21274 53.5482,0.21274 54.18028,-0.87928 54.18028,-0.87928 53.5482))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Tyto alba",
 "Year 2020-2025"
 ]
}

 The dataset includes 514 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0027938-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.