cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15468/dl.h98ffc
title: Occurrence Download

description: A dataset listing the 3219 species recorded in GBIF matching the query:
{
 "Geometry" : [
 "POLYGON((29.08732 -25.80904,29.08732 -25.89333,29.08674 -25.94719,29.46972 -25.94787,29.466 -25.61257,29.0867 -25.61071,29.08732 -25.80904))"
 ]
}

 The dataset's 3219 records were derived from 68 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0038741-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.rtuph4
title: Occurrence Download

description: A dataset containing 367 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Fagus lucida"
 ]
}

 The dataset includes 367 records from 39 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0038752-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5075/epfl.20.500.14299/255911
title: MDCs and band maps of CuTe, TiSe2 and TiTe2

description: Photoelectron spin momentum distribution curves and band maps, sample names are in the file names.
DOI: 10.15468/dl.6dkkte
title: Occurrence Download

description: A dataset containing 1716 species occurrences available in GBIF matching the query:
{
 "and" : [
 "DatasetKey is flora & fauna(NIBR)",
 "TaxonKey is Halyomorpha halys"
 ]
}

 The dataset includes 1716 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0038755-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.hhuqy2
title: Occurrence Download

description: A dataset containing 1303 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Anthophora aestivalis",
 "BasisOfRecord is one of (Human Observation, Machine Observation, Observation, Occurrence evidence)",
 "OccurrenceStatus is Present",
 "HasCoordinate is true"
 ]
}

 The dataset includes 1303 records from 48 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0038756-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.17502534
title: Invertebrates of the inner Ionian islets

description: This dataset contains the taxa recorded from 10 islets between Lefkada, Kephalonia and the mainland (Mytikas). It also includes metadata relating to the collection points.
description: Islets often host unique and fragile ecosystems, yet the invertebrate biodiversity of the Inner Ionian Sea Archipelago remains poorly documented. During a targeted expedition across ten islets between Lefkada, Kefalonia and mainland Greece, we conducted the first comprehensive survey of their terrestrial invertebrate fauna. Using hand collecting, net sweeping and substrate sieving, we recorded 176 taxa spanning multiple phyla (Arthropoda, Mollusca, Annelida). Species richness varied substantially among islets, with Kalamos hosting the highest number of taxa (55) and the unnamed islet near Kastos the lowest (15). Multivariate analyses based on presence–absence data revealed several faunal clusters, although low statistical support suggests considerable heterogeneity among islets. Diversity metrics indicated that Alafonisi exhibited the greatest taxonomic distinctness, whereas Mermygkas showed the most homogeneous fauna. Several endemic and regionally significant species were detected, including multiple Ionian endemics and taxa newly recorded for the archipelago. The results highlight the conservation importance of these small landmasses, which harbor distinct assemblages shaped by isolation, geomorphology, human activity and potential species transfers via boats or grazing animals. This study provides a foundational dataset for future biogeographical, ecological and taxonomic research in the Ionian region and underscores the value of islets as natural laboratories of biodiversity.
DOI: 10.5281/zenodo.17628776
title: Invertebrates of the inner Ionian islets

description: This dataset contains the taxa recorded from 10 islets between Lefkada, Kephalonia and the mainland (Mytikas). It also includes metadata relating to the collection points.
description: Islets often host unique and fragile ecosystems, yet the invertebrate biodiversity of the Inner Ionian Sea Archipelago remains poorly documented. During a targeted expedition across ten islets between Lefkada, Kefalonia and mainland Greece, we conducted the first comprehensive survey of their terrestrial invertebrate fauna. Using hand collecting, net sweeping and substrate sieving, we recorded 176 taxa spanning multiple phyla (Arthropoda, Mollusca, Annelida). Species richness varied substantially among islets, with Kalamos hosting the highest number of taxa (55) and the unnamed islet near Kastos the lowest (15). Multivariate analyses based on presence–absence data revealed several faunal clusters, although low statistical support suggests considerable heterogeneity among islets. Diversity metrics indicated that Alafonisi exhibited the greatest taxonomic distinctness, whereas Mermygkas showed the most homogeneous fauna. Several endemic and regionally significant species were detected, including multiple Ionian endemics and taxa newly recorded for the archipelago. The results highlight the conservation importance of these small landmasses, which harbor distinct assemblages shaped by isolation, geomorphology, human activity and potential species transfers via boats or grazing animals. This study provides a foundational dataset for future biogeographical, ecological and taxonomic research in the Ionian region and underscores the value of islets as natural laboratories of biodiversity.
DOI: 10.6084/m9.figshare.29876924
title: <b>Supporting Information files-</b><b>Oxyphenbutazone improves memory and learning impairments in LPS-induced </b><b>neurotoxicity</b><b> via modulating TGF-β/NF-κB/IκB-α pathways</b>

description: The objective of the current study was to assess the effect of Oxyphenbutazone on improving memory and learning impairments in LPS-induced neurotoxicity. To evaluate the impact of Oxyphenbutazone against LPS-induced neurotoxicity in rats, followed by treatment with Oxyphenbutazone (35 and 70 mg/kg, per oral) an hour before injection of LPS (1 mg/kg i.p.) for 7 days. The findings show that Oxyphenbutazone at both doses significantly improved behavioral activity and restored neurotransmitters, biochemical, and neuroinflammatory.
DOI: 10.6084/m9.figshare.29876924.v1
title: <b>Supporting Information files-</b><b>Oxyphenbutazone improves memory and learning impairments in LPS-induced </b><b>neurotoxicity</b><b> via modulating TGF-β/NF-κB/IκB-α pathways</b>

description: The objective of the current study was to assess the effect of Oxyphenbutazone on improving memory and learning impairments in LPS-induced neurotoxicity. To evaluate the impact of Oxyphenbutazone against LPS-induced neurotoxicity in rats, followed by treatment with Oxyphenbutazone (35 and 70 mg/kg, per oral) an hour before injection of LPS (1 mg/kg i.p.) for 7 days. The findings show that Oxyphenbutazone at both doses significantly improved behavioral activity and restored neurotransmitters, biochemical, and neuroinflammatory.
DOI: 10.6084/m9.figshare.30636059
title: Characterizing charge-parity detection based on an offset-charge-tunable transmonqubit via randomized benchmarking

description: Quantum parity detectors are promising for rare-event searches owing to their theoretical sensitiv-ity at the meV energy scale. Their efficacy, however, hinges on high-fidelity charge-parity detection.Superconducting qubits are compelling platforms for such detectors, given their high-fidelity quan-tum operations. In this work, we realize high-fidelity mapping of charge-parity states onto qubitstates using an offset-charge-tunable transmon qubit and efficiently characterize the fidelity of thecharge-parity detection via randomized benchmarking. Specifically, a gate control line is appliedto control offset charge, allowing us to achieve the single-qubit gate fidelity up to 99.96%. Wecombine a net-zero-based pulse on the gate line with a spin-echo-based sequence to realize charge-parity mapping, achieving a fidelity of 99.37%. Then, we demonstrate continuous monitoring of thecharge-parity state with over 93.4% fidelity at a 4-μs sampling interval. Finally, an error analysisof charge-parity detection is performed, and it is found that qubit readout is currently the largestsource of error. We believe this work lays the foundation for future exploration of ultra-low energyparticles.
DOI: 10.6084/m9.figshare.30636059.v1
title: Characterizing charge-parity detection based on an offset-charge-tunable transmonqubit via randomized benchmarking

description: Quantum parity detectors are promising for rare-event searches owing to their theoretical sensitiv-ity at the meV energy scale. Their efficacy, however, hinges on high-fidelity charge-parity detection.Superconducting qubits are compelling platforms for such detectors, given their high-fidelity quan-tum operations. In this work, we realize high-fidelity mapping of charge-parity states onto qubitstates using an offset-charge-tunable transmon qubit and efficiently characterize the fidelity of thecharge-parity detection via randomized benchmarking. Specifically, a gate control line is appliedto control offset charge, allowing us to achieve the single-qubit gate fidelity up to 99.96%. Wecombine a net-zero-based pulse on the gate line with a spin-echo-based sequence to realize charge-parity mapping, achieving a fidelity of 99.37%. Then, we demonstrate continuous monitoring of thecharge-parity state with over 93.4% fidelity at a 4-μs sampling interval. Finally, an error analysisof charge-parity detection is performed, and it is found that qubit readout is currently the largestsource of error. We believe this work lays the foundation for future exploration of ultra-low energyparticles.
DOI: 10.15468/dl.jj62ds
title: Occurrence Download

description: A dataset containing 2864 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Raphia",
 "HasCoordinate is true"
 ]
}

 The dataset includes 2864 records from 152 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0038757-251025141854904/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.30636314
title: GraphPad Prism Raw Data and Analysis Files for “Baseline AHR Expression Shapes Immune Response to Pharmacological Modulation in PBMCs From Pancreatic Cancer Patients”

description: This dataset contains all raw data used in the preparation of the figures presented in the manuscript “Baseline AHR Expression Shapes Immune Response to Pharmacological Modulation in PBMCs From Pancreatic Cancer Patients”. All primary measurements, data tables, and statistical analyses are stored within the GraphPad Prism (.pzfx) files. No additional preprocessing was performed outside of GraphPad.
DOI: 10.6084/m9.figshare.30636314.v1
title: GraphPad Prism Raw Data and Analysis Files for “Baseline AHR Expression Shapes Immune Response to Pharmacological Modulation in PBMCs From Pancreatic Cancer Patients”

description: This dataset contains all raw data used in the preparation of the figures presented in the manuscript “Baseline AHR Expression Shapes Immune Response to Pharmacological Modulation in PBMCs From Pancreatic Cancer Patients”. All primary measurements, data tables, and statistical analyses are stored within the GraphPad Prism (.pzfx) files. No additional preprocessing was performed outside of GraphPad.
DOI: 10.15468/dl.g6s25p
title: Occurrence Download

description: A dataset containing 104 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Anthophora mucida",
 "BasisOfRecord is one of (Human Observation, Machine Observation, Observation, Occurrence evidence)",
 "OccurrenceStatus is Present",
 "HasCoordinate is true"
 ]
}

 The dataset includes 104 records from 23 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0038758-251025141854904/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.30633122
title: Processed scRNA-seq Seurat object and analysis scripts for the IL-18R axis in allergic conjunctivitis

description: This Figshare item contains the processed single-cell RNA-seq data and R scripts used in a study of the IL-18 receptor (IL-18R) axis in allergic conjunctivitis.The original raw scRNA-seq data were generated in an independent study and are available from GEO under accession GSE203217. In this work, we reprocessed the conjunctival CD45⁺ single-cell data and used them for all analyses reported in the manuscript.The ZIP archive (processed scRNA-seq Seurat object + scripts.zip) includes:combined_seurat_final_annotated.rds: Seurat v5 object containing the RNA assay with three expression layers (“counts”, “data”, and “scale.data”), together with cell-level metadata (sample group, treatment, cell-type annotations, clusters) and dimensionality reductions (PCA, UMAP). This is the exact processed dataset used in all single-cell analyses.seurat_analysis.R: R script for QC, normalization, variable gene selection, dimensionality reduction, clustering, and cell-type annotation starting from the Seurat object.cellchat_analysis.R: R script for intercellular communication analysis using CellChat.trajectory_analysis.R: R script for pseudotime inference, PROGENy pathway activity scoring, and generalized additive model (GAM) fitting along pseudotime.
DOI: 10.6084/m9.figshare.30633122.v1
title: Processed scRNA-seq Seurat object and analysis scripts for the IL-18R axis in allergic conjunctivitis

description: This Figshare item contains the processed single-cell RNA-seq data and R scripts used in a study of the IL-18 receptor (IL-18R) axis in allergic conjunctivitis.The original raw scRNA-seq data were generated in an independent study and are available from GEO under accession GSE203217. In this work, we reprocessed the conjunctival CD45⁺ single-cell data and used them for all analyses reported in the manuscript.The ZIP archive (processed scRNA-seq Seurat object + scripts.zip) includes:combined_seurat_final_annotated.rds: Seurat v5 object containing the RNA assay with three expression layers (“counts”, “data”, and “scale.data”), together with cell-level metadata (sample group, treatment, cell-type annotations, clusters) and dimensionality reductions (PCA, UMAP). This is the exact processed dataset used in all single-cell analyses.seurat_analysis.R: R script for QC, normalization, variable gene selection, dimensionality reduction, clustering, and cell-type annotation starting from the Seurat object.cellchat_analysis.R: R script for intercellular communication analysis using CellChat.trajectory_analysis.R: R script for pseudotime inference, PROGENy pathway activity scoring, and generalized additive model (GAM) fitting along pseudotime.
DOI: 10.4121/eb4e3397-140d-4e8f-aceb-cd2a7520f309
title: Data underlying the publication: Computational Screening of Piezoelectric Constants in Metal–Organic Frameworks: Design Principles and Ferroelectric-Like Bond Modulation

description: Raw data for high-throughput piezoelectric calculations in Metal-Organic Frameworks are deposited here.1) Structural Details, Piezoelectric Tensor e_iq, Piezoelectric Norm, Average BEC of inorganic cation for MOFs with converged and reliable results [Totale_BEC_Structuredetails.xlsx]2) Highest e_iq values of the top 8 MOFs [Top8MOFs_highestevalues.xlsx]3) Clamped and Internal Strain piezoelectric tensors for all the MOFs computed in this work [Clamped_eiq_allMOFs.xlsx, InternalStrain_eiq_allMOFs.xlsx]4) Convergence tests for ENCUT and KPOINTS values for high throughput piezoelectric tensor calculations [Encut_and_kpoints_convergence.xlsx]5) Piezoelectric tensor, Elastic tensor and Compliance tensor of top e MOFs [TopeMOFs_piezoelectricconstant_d_CRYSTAL17.xlsx]
DOI: 10.4121/eb4e3397-140d-4e8f-aceb-cd2a7520f309.v1
title: Data underlying the publication: Computational Screening of Piezoelectric Constants in Metal–Organic Frameworks: Design Principles and Ferroelectric-Like Bond Modulation

description: Raw data for high-throughput piezoelectric calculations in Metal-Organic Frameworks are deposited here.1) Structural Details, Piezoelectric Tensor e_iq, Piezoelectric Norm, Average BEC of inorganic cation for MOFs with converged and reliable results [Totale_BEC_Structuredetails.xlsx]2) Highest e_iq values of the top 8 MOFs [Top8MOFs_highestevalues.xlsx]3) Clamped and Internal Strain piezoelectric tensors for all the MOFs computed in this work [Clamped_eiq_allMOFs.xlsx, InternalStrain_eiq_allMOFs.xlsx]4) Convergence tests for ENCUT and KPOINTS values for high throughput piezoelectric tensor calculations [Encut_and_kpoints_convergence.xlsx]5) Piezoelectric tensor, Elastic tensor and Compliance tensor of top e MOFs [TopeMOFs_piezoelectricconstant_d_CRYSTAL17.xlsx]
DOI: 10.21227/j95r-t720
title: "Assam_Geospatial_dataset"

description: "Floods are among the most devastating natural disasters, often resulting in significant loss of life and extensive damage to property and resources. Effective flood prediction and early warning systems are therefore essential for disaster mitigation and response.This study presents an AI-based Flood Prediction and Alert System that leverages spatial, hydrological, and temporal data to assess and forecast flood risks. The proposed framework consists of five integrated modules: flood classification using satellite imagery, water depth estimation through Digital Elevation Models (DEM), identification of flood-causing factors using climate data, temporal modeling for predicting flood timing, and automated alert generation for disaster management authorities.By employing deep learning models such as LSTM and hybrid ConvLSTM architectures, the system captures both short-term and long-term dependencies in data to generate accurate flood forecasts. Overall, the framework provides a scalable, data-driven approach to strengthening flood resilience and improving disaster preparedness."
DOI: 10.5281/zenodo.17484877
title: Zeid Zwain Clinic Prediabetes Registry

description: These are my clinic datasite  in Najaf/ Iraq for patients diagnosed with prediabetes on the basis of HbA1C of 5.7 - 6.4 from 2023 to 2025. I already started mangement for all of them.

I will follow them regularly and will update this dataset.
DOI: 10.5281/zenodo.17629020
title: Dataset - Progressive Web Applications as a Tool to Achieve SDG 4 and SDG 8: Evidence from Vocational Schools in Marginalized Regions
DOI: 10.5281/zenodo.17629021
title: Dataset - Progressive Web Applications as a Tool to Achieve SDG 4 and SDG 8: Evidence from Vocational Schools in Marginalized Regions
DOI: 10.5281/zenodo.17604384
title: GNSS-R data at the Onsala Space Observatory (June 2024–July 2025)

description: Part 2 of 4: ONRB 5-second RINEX GNSS data.

This record contains the ONRB 5-second RINEX 3 observations, collected at the Onsala Space Observatory (Sweden) from June 2024 to July 2025. The ONRB antenna is a zenith-pointing, choke-ring antenna used for high-precision GNSS positioning.
DOI: 10.15468/dl.2tfwuj
title: Occurrence Download

description: A dataset containing 17515 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Month is July",
 "OccurrenceStatus is Present",
 "TaxonKey is Buteo buteo",
 "Year 2025-2025"
 ]
}

 The dataset includes 17515 records from 21 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0038764-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.17628358
title: Systematic Literature Review Dataset on Organizational Metaphors: Search Strategy, Reference Collection, and Thematic Analysis

description: This dataset contains the comprehensive methodological documentation and outputs from systematic literature review examining metaphors in Organizations. The dataset supports transparency, reproducibility, and potential meta-analyses by providing complete access to the review process and findings. 

This dataset is designed for:

Researchers conducting similar or related systematic reviewsPractitioners seeking evidence-based insights on metaphors in organizationsMethodologists interested in systematic review processesFuture meta-analyses and evidence syntheses
DOI: 10.5281/zenodo.17628357
title: Systematic Literature Review Dataset on Organizational Metaphors: Search Strategy, Reference Collection, and Thematic Analysis

description: This dataset contains the comprehensive methodological documentation and outputs from systematic literature review examining metaphors in Organizations. The dataset supports transparency, reproducibility, and potential meta-analyses by providing complete access to the review process and findings. 

This dataset is designed for:

Researchers conducting similar or related systematic reviewsPractitioners seeking evidence-based insights on metaphors in organizationsMethodologists interested in systematic review processesFuture meta-analyses and evidence syntheses
DOI: 10.5281/zenodo.17465186
title: AntiSMASH genome mining for novel hybrid polyketide-nonribosomal peptide-specialized lipids output

description: This repository contains results from an antiSMASH (version 7.1.0) genome mining approach on a dataset comprising 62,706 NRPS-containing bacterial genomic regions in Genbank format, obtained from the antiSMASH database (version 4). The dataset was analyzed via a custom-designed search rule, that we termed ‘zeamine-like’, with the goal of finding novel trihybrid polyketide synthase (PKS)-nonribosomal peptide synthetase (NRPS)-polyunsaturated fatty acid (PUFA) synthase-like clusters. This rule integrated pre-existing profile Hidden Markov Models (pHMMs) targeting PKS, NRPS and PUFA synthase-like biosynthetic machinery (cds(Condensation and (AMP-binding or A-OX)) and cds(PKS_AT and (PKS_KS or ene_KS or mod_KS or hyb_KS or itr_KS or tra_KS)) and (hglE or hglD or PUFA_KS)). A ‘relaxed’ level of strictness was applied, allowing for the detection of incomplete clusters lacking one or more functional components. The maximum allowed distance between core genes was set at 20 kbp, and an additional 20 kbp was included beyond the core genes to define the protocluster boundaries. This repository contains the combined results output from antiSMASH.
DOI: 10.5281/zenodo.17465187
title: AntiSMASH genome mining for novel hybrid polyketide-nonribosomal peptide-specialized lipids output

description: This repository contains results from an antiSMASH (version 7.1.0) genome mining approach on a dataset comprising 62,706 NRPS-containing bacterial genomic regions in Genbank format, obtained from the antiSMASH database (version 4). The dataset was analyzed via a custom-designed search rule, that we termed ‘zeamine-like’, with the goal of finding novel trihybrid polyketide synthase (PKS)-nonribosomal peptide synthetase (NRPS)-polyunsaturated fatty acid (PUFA) synthase-like clusters. This rule integrated pre-existing profile Hidden Markov Models (pHMMs) targeting PKS, NRPS and PUFA synthase-like biosynthetic machinery (cds(Condensation and (AMP-binding or A-OX)) and cds(PKS_AT and (PKS_KS or ene_KS or mod_KS or hyb_KS or itr_KS or tra_KS)) and (hglE or hglD or PUFA_KS)). A ‘relaxed’ level of strictness was applied, allowing for the detection of incomplete clusters lacking one or more functional components. The maximum allowed distance between core genes was set at 20 kbp, and an additional 20 kbp was included beyond the core genes to define the protocluster boundaries. This repository contains the combined results output from antiSMASH.