cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15468/dl.t3fdn2
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Panorpa ochraceopennis Miyake, 1910",
 "HasCoordinate is true",
 "Country is Japan",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0184874-220831081235567/datasets/export for details.
DOI: 10.15468/dl.8qbfgv
title: Occurrence Download

description: A dataset containing 659 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Leucanthemella serotina (L.) Tzvelev"
 ]
}

 The dataset includes 659 records from 96 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0008417-230530130749713/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.wndxm5
title: Occurrence Download

description: A dataset containing 12 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Serapias stenopetala Maire & T.Stephenson"
 ]
}

 The dataset includes 12 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0009246-230918134249559/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.nrhvt6
title: Occurrence Download

description: A dataset containing 4988 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Platanthera ciliaris (L.) Lindl."
 ]
}

 The dataset includes 4988 records from 111 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0280030-220831081235567/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.7fgvuj
title: Occurrence Download

description: A dataset containing 277561 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Echium vulgare L."
 ]
}

 The dataset includes 277561 records from 1687 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0280042-220831081235567/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ctutw5
title: Occurrence Download

description: A dataset containing 1187 species occurrences available in GBIF matching the query:
{
 "and" : [
 "DatasetKey is one of (iNaturalist Research-grade Observations, UF FLMNH Ichthyology, The Aquatic Ecological Survey of Regular Monitoring Stations at the Rivers Administered by the Central Government of Taiwan, Investigation Current Status of River in Taiwan between 2002 to 2022, INSDC Sequences, Aspectos biológicos e impacto socio-económico de los plecos del género Pterygoplichthys y dos cíclidos no nativos en el sistema fluvio lagunar deltaico Río Palizada, en el Área Natural Protegida Laguna de Términos, Campeche, Fortalecimiento de las colecciones de ECOSUR. Primera fase (Peces San cristóbal), Ictiologia Collection - Instituto Nacional de Pesquisas da Amazônia (INPA), Colección de Ictiología del Instituto de Ciencias Naturales (ICN-MHN-Ic), Biodiversidad selecta de los humedales de Laguna de Términos - Pantanos de Centla (Peces))",
 "OccurrenceStatus is Present",
 "TaxonKey is Pterygoplichthys pardalis (Castelnau, 1855)"
 ]
}

 The dataset includes 1187 records from 10 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0014864-250402121839773/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.30940590
title: Construction and verification of a nomogram model for predicting the risk of post-stroke spasticity: a retrospective study

description: <b>Objective: </b>The aim of this study is to develop and validate a nomogram model for predicting the risk of post-stroke spasticity (PSS). <b>Methods: </b>A retrospective study collected data from 366 stroke patients admitted to Guangzhou University of Chinese Medicine’s Dongguan Hospital between January 2022 and April 2025. PSS was defined as a Modified Ashworth Scale (MAS) score ≥1 within 3 months after stroke. The patients were divided into training and validation sets using a 7:3 ratio. Using multivariate logistic regression analysis and least absolute shrinkage and selection operator (Lasso) regression, a predictive model was built, and a nomogram was created for clinical application. The receiver operating characteristic (ROC) curve and calibration curve were plotted to assess the discrimination and calibration of the model. Decision curve analysis (DCA) and the clinical impact curve (CIC) were used to evaluate the model’s clinical applicability and usefulness. LASSO-logistic regression analysis identified seven predictors associated with PSS: C-reactive protein, albumin, creatine kinase, fasting blood glucose, hyperlipidemia, sleep disorders, and manual muscle testing (MMT) score at admission. The model had an area under the curve (AUC) of 0.844 (95% CI: 0.793–0.896) in the training set and 0.842 (95% CI: 0.765–0.920) in the validation set, which means it was good at making predictions. The calibration curves showed excellent agreement between predicted and observed probabilities in the training set. Good calibration was maintained in the validation set, indicating only minimal overestimation of risk. DCA and CIC both agreed that the nomogram model could be used in a wide range of therapeutic situations. The nomogram based on routine clinical data in this study, after internal validation, can effectively predict the risk of PSS and provides a practical decision-making tool for clinicians. However, future multi-centre external validation is still required to confirm its broad applicability.
DOI: 10.6084/m9.figshare.30940590.v1
title: Construction and verification of a nomogram model for predicting the risk of post-stroke spasticity: a retrospective study

description: <b>Objective: </b>The aim of this study is to develop and validate a nomogram model for predicting the risk of post-stroke spasticity (PSS). <b>Methods: </b>A retrospective study collected data from 366 stroke patients admitted to Guangzhou University of Chinese Medicine’s Dongguan Hospital between January 2022 and April 2025. PSS was defined as a Modified Ashworth Scale (MAS) score ≥1 within 3 months after stroke. The patients were divided into training and validation sets using a 7:3 ratio. Using multivariate logistic regression analysis and least absolute shrinkage and selection operator (Lasso) regression, a predictive model was built, and a nomogram was created for clinical application. The receiver operating characteristic (ROC) curve and calibration curve were plotted to assess the discrimination and calibration of the model. Decision curve analysis (DCA) and the clinical impact curve (CIC) were used to evaluate the model’s clinical applicability and usefulness. LASSO-logistic regression analysis identified seven predictors associated with PSS: C-reactive protein, albumin, creatine kinase, fasting blood glucose, hyperlipidemia, sleep disorders, and manual muscle testing (MMT) score at admission. The model had an area under the curve (AUC) of 0.844 (95% CI: 0.793–0.896) in the training set and 0.842 (95% CI: 0.765–0.920) in the validation set, which means it was good at making predictions. The calibration curves showed excellent agreement between predicted and observed probabilities in the training set. Good calibration was maintained in the validation set, indicating only minimal overestimation of risk. DCA and CIC both agreed that the nomogram model could be used in a wide range of therapeutic situations. The nomogram based on routine clinical data in this study, after internal validation, can effectively predict the risk of PSS and provides a practical decision-making tool for clinicians. However, future multi-centre external validation is still required to confirm its broad applicability.
DOI: 10.17882/99983
title: BIOGEOCHEMICAL dataset collected during the SWINGS cruise

description: SWINGS (https://swings.geotraces.org/en/homepage-english/) is a multidisciplinary 4-year project fully dedicated to elucidate trace element sources, transformations and sinks along a section crossing key areas of the Southern Ocean (SO). SWINGS aims at 1) establishing the relative importance of sedimentary, atmospheric and hydrothermal sources of trace elements and isotopes (TEIs) in the Indian sector of the SO, 2) investigating the drivers of the internal trace element cycles: biogenic uptake, remineralization, particle fate, and export, and 3) quantifying TEI transport by the Antarctic Circumpolar Current and the complex frontal areas at the confluence between Indian and Atlantic Oceans.
DOI: 10.6084/m9.figshare.30940591
title: Melatonin modulates granulosa cell angiogenesis differently in female- and male-factor infertility

description: To analyze the effects of melatonin on angiogenesis in cultured granulosa cells from women undergoing in vitro fertilization, comparing those with female-factor versus male-factor infertility. Granulosa cells were obtained from 47 women undergoing in vitro fertilization treatment, including 31 women with female-factor (FFG) and 16 women with male-factor infertility (MFG). Cells from both groups were cultured and divided into four treatment conditions for 96 h: a) control (culture medium without melatonin); b) vehicle (melatonin diluent–ethanol); c) 0.1 µM melatonin; and d) 10 µM melatonin. Expression of 84 genes involved in angiogenesis signaling pathway was analyzed by real-time PCR. Cultured granulosa cells from both groups expressed aromatase and melatonin receptors. In both groups, cell proliferation peaked at 72 h when exposed to 10 µM melatonin. Of the 84 analyzed genes, three showed significant differential mRNA expression. In the MFG, melatonin at 10 µM upregulated VEGF-B mRNA expression in granulosa cells but downregulated PDGFA and HGF mRNA expression, in contrast to the higher expression of these genes in the FFG under identical conditions. Melatonin differentially modulates angiogenesis-related gene expression in granulosa cells, indicating that its effects may depend on infertility type and melatonin dose in women undergoing in vitro fertilization.
DOI: 10.6084/m9.figshare.30940591.v1
title: Melatonin modulates granulosa cell angiogenesis differently in female- and male-factor infertility

description: To analyze the effects of melatonin on angiogenesis in cultured granulosa cells from women undergoing in vitro fertilization, comparing those with female-factor versus male-factor infertility. Granulosa cells were obtained from 47 women undergoing in vitro fertilization treatment, including 31 women with female-factor (FFG) and 16 women with male-factor infertility (MFG). Cells from both groups were cultured and divided into four treatment conditions for 96 h: a) control (culture medium without melatonin); b) vehicle (melatonin diluent–ethanol); c) 0.1 µM melatonin; and d) 10 µM melatonin. Expression of 84 genes involved in angiogenesis signaling pathway was analyzed by real-time PCR. Cultured granulosa cells from both groups expressed aromatase and melatonin receptors. In both groups, cell proliferation peaked at 72 h when exposed to 10 µM melatonin. Of the 84 analyzed genes, three showed significant differential mRNA expression. In the MFG, melatonin at 10 µM upregulated VEGF-B mRNA expression in granulosa cells but downregulated PDGFA and HGF mRNA expression, in contrast to the higher expression of these genes in the FFG under identical conditions. Melatonin differentially modulates angiogenesis-related gene expression in granulosa cells, indicating that its effects may depend on infertility type and melatonin dose in women undergoing in vitro fertilization.
DOI: 10.7910/dvn/endu5f
title: 2021 Social Accounting Matrix for Okara District, Pakistan

description: The 2021 Social Accounting Matrix for Okara District, Pakistan (SAM) dataset is part of an initiative to improve subnational economic modeling and policy analysis in Pakistan.
The open-access version of the dataset disaggregates domestic production across key sectors with a special focus on agriculture and food systems. Factors of production include labor, land, and capital. Labor is further disaggregated by sector and skill level, where data allow. Households are categorized by rural and urban residence and by income or expenditure group, based on available survey data. Additional accounts include enterprises, government, taxes, savings-investment, and rest of the world to capture inter-institutional and inter-regional flows.&lt;/p&gt;

Although this SAM adopts a generic structure, it differs in some respects from IFPRI’s standardized Nexus SAMs (see &lt;a href="https://www.ifpri.org/project/nexus-project/"&gt;https://www.ifpri.org/project/nexus-project/&lt;/a&gt;). Nevertheless, the Okara District SAM can contribute to strengthening evidence-based policy design and regional economic planning in Pakistan. Furthermore, it can serve as a template for future Okara SAM updates and other district SAMs in Pakistan, which would ensuring comparability over time and across districts.
description: Social Accounting Matrix (SAM)
DOI: 10.5281/zenodo.18036618
title: Synthetic datasets for Make - Single Machine Scheduling Problem / Metaheuristics / Genetic Algorithm / Maximum Weighted Lateness
DOI: 10.5281/zenodo.18036617
title: Synthetic datasets for Make - Single Machine Scheduling Problem / Metaheuristics / Genetic Algorithm / Maximum Weighted Lateness
DOI: 10.60520/ieda/114293
title: Total Solar Irradiance Recorded by the FY3E/DARA-JTSIM Radiometer - New Version December 2025

description: Total Solar Irradiance recorded by the FY3E/DARA-JTSIM radiometer. This dataset is the V1.0 with a 6 hr sampling rate. New models (temperature, Deep space corrections, new first light). Please, contact Dr. JP. Montillet or Dr. W. Finsterle for more information.
description: Song, B., Ye, X., Finsterle, W. et al. The Fengyun-3E/Joint Total Solar Irradiance Absolute Radiometer: Instrument Design, Characterization, and Calibration. Sol Phys 296, 52 (2021). https://doi.org/10.1007/s11207-021-01794-5

Montillet, J.-P., Finsterle, W., Haberreiter, M., Schmutz, W., Pfiffner, D., Koller, S., Gyo, M., Fang, W., Ye, X., Yang, D., and Wu, D.: Total Solar Irradiance monitored by DARA/JTSIM : first light observations, EGU General Assembly 2022, Vienna, Austria, 23–27 May 2022, EGU22-616, https://doi.org/10.5194/egusphere-egu22-616, 2022.

Zhu, P.; Ye, X.; Montillet, J.P.; Finsterle, W.; Yang, D.; Duo, W.; Qi, J.; Fang, W.; Zhang, P. The first light from the joint total solar irradiance measurement experiment onboard the FY3-E meteorological satellite. Earth Space Sci. 2025, 12, e2023EA003064
Montillet, J.-P.; Finsterle, W.; Zhu, P.; Haberreiter, M.; Koller, S.; Pfiffner, D.; Wu, D.; Ye, X.; Yang, D.; Fang, W.; et al. Assessment of Instrument Performance of the FY3E/JTSIM/DARA Radiometer Through the Analysis of TSI Observations. Remote Sens. 2025, 17, 3902. https://doi.org/10.3390/rs17233902
DOI: 10.26036/cnp0008712
title: The complete chloroplast genome sequence of Maesa cavinervis (Primulaceae s.l.) and its phylogenetic analysis

description: we sequenced and assembled the complete chloroplast genome of Maesa cavinervis using Illumina sequencing technology.This study aims to address the scarcity of chloroplast genome data within the genus and provide new molecular insights into the phylogeny and conservation biology of Primulaceae.
DOI: 10.15468/dl.db7qj4
title: Occurrence Download

description: A dataset containing 2015 species occurrences available in GBIF matching the query:
{
 "and" : [
 "OccurrenceStatus is Present",
 "TaxonKey is Pleurodema bufoninum"
 ]
}

 The dataset includes 2015 records from 34 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0064107-251120083545085/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.30940517
title: <b>Impact of Body Fat Content on Extracorporeal Shock Wave Lithotripsy for Pancreatic Duct Stones: A Retrospective Cohort Study</b>

description: This was a single-center retrospective observational study that enrolled 147 patients with PDS who underwent ESWL and achieved complete stone clearance at Gongli Hospital, Pudong New Area, Shanghai, from January 2021 to January 2025. Measurements of VAT, subcutaneous adipose tissue (SAT), and SMT at the level of the L3/L4 intervertebral space were performed using non-contrast computed tomography (CT) combined with Adobe Photoshop software, and the VAT/SMT ratio was calculated accordingly. Hierarchical stepwise linear regression models were employed to analyze the independent effects of body fat-related parameters (including BMI, body fat percentage, and VAT/SMT ratio) on lithotripsy time and the number of lithotripsy sessions, after adjusting for confounding variables such as gender, age, and stone cross-sectional area.
DOI: 10.6084/m9.figshare.30940517.v1
title: <b>Impact of Body Fat Content on Extracorporeal Shock Wave Lithotripsy for Pancreatic Duct Stones: A Retrospective Cohort Study</b>

description: This was a single-center retrospective observational study that enrolled 147 patients with PDS who underwent ESWL and achieved complete stone clearance at Gongli Hospital, Pudong New Area, Shanghai, from January 2021 to January 2025. Measurements of VAT, subcutaneous adipose tissue (SAT), and SMT at the level of the L3/L4 intervertebral space were performed using non-contrast computed tomography (CT) combined with Adobe Photoshop software, and the VAT/SMT ratio was calculated accordingly. Hierarchical stepwise linear regression models were employed to analyze the independent effects of body fat-related parameters (including BMI, body fat percentage, and VAT/SMT ratio) on lithotripsy time and the number of lithotripsy sessions, after adjusting for confounding variables such as gender, age, and stone cross-sectional area.
DOI: 10.6084/m9.figshare.30813824
title: <b>AphidFunga - A curated global dataset of naturally occurring aphid-fungal associations</b>

description: Data were collected by querying GloBI, major bibliographic databases (e.g. Scopus, Web of Science), search engines, and grey literature in eight non‑English languages, followed by manual extraction of aphid and fungal names, locations, interaction types, and references from over 800 screened sources. Taxonomies were updated via rgbif, taxize, GBIF Backbone, and Index Fungorum, with unresolved or doubtful names flagged and retained with notes.​ AphidFunga is distributed in three main formats: (1) one large comma‑separated table plus a notes table; (2) four comma‑separated relational tables (records, taxonomy, bibliography, notes); and (3) an importable MySQL SQL dump, mirrored as R data frames with the same relational structure.<b>final_data.RDA</b> – R workspace file containing the same relational AphidFunga tables (records, taxonomy, bibliography, notes) as ready‑to‑use R data frames for direct analysis in R.​<b>records.csv</b> – Comma‑separated main table with one row per unique aphid–fungus–country association, including GBIF IDs, interaction type, pathogenicity flag, country, reference code, and record‑level flags.​<b>taxonomy.csv</b> – Comma‑separated table listing all aphid and fungal taxa with their GBIF (or custom) IDs, full scientific names, higher taxonomy, rank (species/genus), and authorship.​<b>bibliography.csv</b> – Comma‑separated table of literature sources, giving a unique key, publication year, short in‑text citation, and full BibTeX reference for each source.​<b>notes.csv</b> – Comma‑separated table storing all flags and comments on uncertain taxonomy or geography, linkable to individual records via the association ID and field name.​<b>merged_data.csv</b> – One large, comma‑separated file in which the records table is already joined with taxonomy and bibliography, so taxonomic and reference information are repeated across rows.​<b>AphidFunga.sql</b> – SQL dump that reconstructs the full MySQL relational database, including linked records, taxonomy, bibliography, and notes tables, with all primary and foreign key relationships.
DOI: 10.6084/m9.figshare.30813824.v1
title: <b>AphidFunga - A curated global dataset of naturally occurring aphid-fungal associations</b>

description: Data were collected by querying GloBI, major bibliographic databases (e.g. Scopus, Web of Science), search engines, and grey literature in eight non‑English languages, followed by manual extraction of aphid and fungal names, locations, interaction types, and references from over 800 screened sources. Taxonomies were updated via rgbif, taxize, GBIF Backbone, and Index Fungorum, with unresolved or doubtful names flagged and retained with notes.​ AphidFunga is distributed in three main formats: (1) one large comma‑separated table plus a notes table; (2) four comma‑separated relational tables (records, taxonomy, bibliography, notes); and (3) an importable MySQL SQL dump, mirrored as R data frames with the same relational structure.<b>final_data.RDA</b> – R workspace file containing the same relational AphidFunga tables (records, taxonomy, bibliography, notes) as ready‑to‑use R data frames for direct analysis in R.​<b>records.csv</b> – Comma‑separated main table with one row per unique aphid–fungus–country association, including GBIF IDs, interaction type, pathogenicity flag, country, reference code, and record‑level flags.​<b>taxonomy.csv</b> – Comma‑separated table listing all aphid and fungal taxa with their GBIF (or custom) IDs, full scientific names, higher taxonomy, rank (species/genus), and authorship.​<b>bibliography.csv</b> – Comma‑separated table of literature sources, giving a unique key, publication year, short in‑text citation, and full BibTeX reference for each source.​<b>notes.csv</b> – Comma‑separated table storing all flags and comments on uncertain taxonomy or geography, linkable to individual records via the association ID and field name.​<b>merged_data.csv</b> – One large, comma‑separated file in which the records table is already joined with taxonomy and bibliography, so taxonomic and reference information are repeated across rows.​<b>AphidFunga.sql</b> – SQL dump that reconstructs the full MySQL relational database, including linked records, taxonomy, bibliography, and notes tables, with all primary and foreign key relationships.
DOI: 10.5281/zenodo.18036198
title: allonautilus_scrobiculatus_spades_01.fasta.gz
DOI: 10.5281/zenodo.18036199
title: allonautilus_scrobiculatus_spades_01.fasta.gz
DOI: 10.15468/dl.ptfp4q
title: Occurrence Download

description: A dataset containing 519 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Ireland",
 "OccurrenceStatus is Present",
 "TaxonKey is Haliaeetus albicilla"
 ]
}

 The dataset includes 519 records from 10 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0064108-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.t5898b
title: Occurrence Download

description: A dataset containing 14 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Continent is one of (Oceania, Asia, Europe, Africa, North America, South America)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Holothuria moebii",
 "Year 1835-2025"
 ]
}

 The dataset includes 14 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0064109-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.