cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.31362090
title: Computational studies deciphered the role of key genes and associated networks regulating the defense mechanism in chickpea under <i>Fusarium oxysporum</i> f. sp. <i><b>ciceris</b></i> induced wilt condition

description: <i>Cicer arietinum</i>, a nutritionally rich legume and a key Rabi crop, is severely impacted by vascular wilt caused by <i>Fusarium oxysporum</i> f. sp. <i>ciceris</i>, leading to substantial yield loss. To understand molecular reprogramming, a transcriptomic dataset of chickpea seedling roots exposed to fungal infection at 7 and 12 d post-inoculation (dpi) was analyzed. The comparison was made between the control and stressed at 7 and 12 dpi (C_7 vs S_7 and C_12 vs S_12) to be compared against stressed at 7 vs 12 dpi (S_7 vs S_12). The analyses included differentially expressed gene (DEGs) patterns, protein interaction networks, hub genes, carbohydrate-active enzymes (CAZymes), resistance genes (R-genes), and transcription factor (TF) identifications at two different time points. It revealed a total of 894, 867, and 535 significant DEGs respectively, which were associated mainly with cell-wall modification, membrane components, pectinesterase inhibitor activity, terpene synthase activity, and the biosynthesis of secondary metabolites. Further, the protein‒protein interaction network revealed that hub genes associated with chloroplast-localized reactive oxygen species scavenging activity and CAZyme, particularly glycosyl hydrolase 28 (GH28), to be involved during the early phase of infection. R-genes belonging to the classes of KIN (kinase domain), RLP (receptor-like protein), and RLK (receptor-like kinase) were significantly expressed while TFs, bHLH (basic helix–loop–helix), and GeBP (glabrous-enhancer-binding protein) were downregulated with prolonged infection. Hence, the overall study identified the key regulators, orchestrating the defense molecular mechanisms in relation to the time course of infection by the pathogen.
DOI: 10.6084/m9.figshare.31362090.v1
title: Computational studies deciphered the role of key genes and associated networks regulating the defense mechanism in chickpea under <i>Fusarium oxysporum</i> f. sp. <i><b>ciceris</b></i> induced wilt condition

description: <i>Cicer arietinum</i>, a nutritionally rich legume and a key Rabi crop, is severely impacted by vascular wilt caused by <i>Fusarium oxysporum</i> f. sp. <i>ciceris</i>, leading to substantial yield loss. To understand molecular reprogramming, a transcriptomic dataset of chickpea seedling roots exposed to fungal infection at 7 and 12 d post-inoculation (dpi) was analyzed. The comparison was made between the control and stressed at 7 and 12 dpi (C_7 vs S_7 and C_12 vs S_12) to be compared against stressed at 7 vs 12 dpi (S_7 vs S_12). The analyses included differentially expressed gene (DEGs) patterns, protein interaction networks, hub genes, carbohydrate-active enzymes (CAZymes), resistance genes (R-genes), and transcription factor (TF) identifications at two different time points. It revealed a total of 894, 867, and 535 significant DEGs respectively, which were associated mainly with cell-wall modification, membrane components, pectinesterase inhibitor activity, terpene synthase activity, and the biosynthesis of secondary metabolites. Further, the protein‒protein interaction network revealed that hub genes associated with chloroplast-localized reactive oxygen species scavenging activity and CAZyme, particularly glycosyl hydrolase 28 (GH28), to be involved during the early phase of infection. R-genes belonging to the classes of KIN (kinase domain), RLP (receptor-like protein), and RLK (receptor-like kinase) were significantly expressed while TFs, bHLH (basic helix–loop–helix), and GeBP (glabrous-enhancer-binding protein) were downregulated with prolonged infection. Hence, the overall study identified the key regulators, orchestrating the defense molecular mechanisms in relation to the time course of infection by the pathogen.
DOI: 10.17632/vb7xgdfjrv.1
title: UAVLitchi: A UAV-based Benchmark Dataset for Litchi Fruit Segmentation and Detection in Natural Environment

description: The dataset is specifically designed for litchi detection and segmentation, with the objective of advancing research on fruit detection and analysis in complex orchard environments. Currently, there is a lack of unified data to address challenges such as occlusion, overlapping, uneven coloring, and blending with surrounding foliage, which hinders deep learning models from achieving reliable comparisons and results. UAVLitchi aims to fill this gap by providing a diverse set of high-resolution images to reduce these complexities in natural environments. The UAVLitchi dataset includes a total of 5000 images, each sized 256 × 256 pixels, with 4500 RGB images and 500 multispectral images. The dataset consists of 83,250 instances of litchis, with an average object size covering 0.62% of the image area, making it best suitable for small object detection applications. Detailed statistical analyses of the dataset's segmentation performance across SOTA models are provided, demonstrating its suitability for a wide range of precision agriculture applications, including crop yield estimation and autonomous fruit counting.
DOI: 10.17632/r78dn3f6nc
title: InclusiveHAR: A Smartphone-Based Dataset for Human Activity Recognition Across Diverse Physical Abilities

description: InclusiveHAR is a multivariate time-series dataset designed for human activity recognition using wearable smartphone sensors, with a focus on individuals with physical disabilities. The dataset includes data collected from 20 participants, consisting of 10 non-disabled individuals and 10 individuals with disabilities.

Data were recorded using an iPhone 14 Pro smartphone worn vertically in a waist pouch. Motion and location signals were captured from the device’s internal sensors, including accelerometer, gyroscope, magnetometer, motion sensors, and GPS-derived data, at a sampling rate of 50 Hz. The SensorLog app was used to lock the rate at 50 Hz.

Participants performed six daily activities: walking, standing, sitting, jogging, ramp ascent, and ramp descent. For safety reasons, the ramp ascent and ramp descent activities were conducted on an inclined ramp with an 8% slope. Each activity was repeated multiple times to ensure consistent recordings. Additionally, "walking" labels for wheelchair users refer to manual propulsion.

The dataset is organized as a time-series table in which each row corresponds to a single time-step. It contains 30 feature columns representing sensor signals, along with an activity label column, a binary disabled indicator where 0 denotes non-disabled participants, and 1 denotes participants with disabilities, and a UserID column identifying each participant.

InclusiveHAR is intended to support research on machine learning and deep learning methods for human activity recognition, particularly in healthcare, rehabilitation, and assistive technology applications. All participants provided informed consent, and data collection was conducted under professional supervision with strict attention to safety and privacy. Additionally, detailed descriptions of individuals with disabilities have been provided as supplementary material.
DOI: 10.17632/r78dn3f6nc.4
title: InclusiveHAR: A Smartphone-Based Dataset for Human Activity Recognition Across Diverse Physical Abilities

description: InclusiveHAR is a multivariate time-series dataset designed for human activity recognition using wearable smartphone sensors, with a focus on individuals with physical disabilities. The dataset includes data collected from 20 participants, consisting of 10 non-disabled individuals and 10 individuals with disabilities.

Data were recorded using an iPhone 14 Pro smartphone worn vertically in a waist pouch. Motion and location signals were captured from the device’s internal sensors, including accelerometer, gyroscope, magnetometer, motion sensors, and GPS-derived data, at a sampling rate of 50 Hz. The SensorLog app was used to lock the rate at 50 Hz.

Participants performed six daily activities: walking, standing, sitting, jogging, ramp ascent, and ramp descent. For safety reasons, the ramp ascent and ramp descent activities were conducted on an inclined ramp with an 8% slope. Each activity was repeated multiple times to ensure consistent recordings. Additionally, "walking" labels for wheelchair users refer to manual propulsion.

The dataset is organized as a time-series table in which each row corresponds to a single time-step. It contains 30 feature columns representing sensor signals, along with an activity label column, a binary disabled indicator where 0 denotes non-disabled participants, and 1 denotes participants with disabilities, and a UserID column identifying each participant.

InclusiveHAR is intended to support research on machine learning and deep learning methods for human activity recognition, particularly in healthcare, rehabilitation, and assistive technology applications. All participants provided informed consent, and data collection was conducted under professional supervision with strict attention to safety and privacy. Additionally, detailed descriptions of individuals with disabilities have been provided as supplementary material.
DOI: 10.6084/m9.figshare.31362092
title: Arc-related two-stage magmatic episodes during the Orosirian in the northeastern Yeongnam Massif, Korean Peninsula: geochronological and geochemical insights from Buncheon and Okbang amphibolites and Seokpo granite

description: The Yeongnam Massif represents a key Precambrian basement of the Korean Peninsula, and its northeastern part preserves important records of Paleoproterozoic magmatism. Although Orosirian magmatism is widely reported from this region, several magmatic bodies remain insufficiently identified, and no integrated interpretation combining both mafic and felsic magmatism has been conducted to evaluate mantle-crust differentiation processes in an arc environment. This study refines the temporal evolution of arc-related magmatism by integrating new lithological, geochronological, and geochemical data from amphibolite and granite suites. A newly defined Buncheon amphibolite intruded the Buncheon granite gneiss at ca. 1.99–1.96 Ga, followed by metamorphism at ca. 1.86 Ga. The Okbang amphibolite intruded the southern margin of the Buncheon granite gneiss at 1.86–1.84 Ga. At a similar time, a newly defined Seokpo granite intruded the Hongjesa granite gneiss at 1.87 Ga. The Buncheon and Okbang amphibolites have slightly enriched LREEs and high Th/Yb and Nb/La ratios with mostly positive zircon εHf(t) values, suggesting derivation from a fluid-metasomatized mantle source in an arc setting. The Seokpo granite has various εHf(t) values, implying a heterogeneous crustal source, and exhibits A2-type granite signature which is associated with extensional regime within the arc environment. Integrating this and previous studies, the Orosirian magmatism in the northeastern Yeongnam Massif is divided into early (2.0–1.94 Ga) and late (1.87–1.82 Ga) episodes. In the early Orosirian episode, north-to-southward subduction occurred and induced arc magmatism forming the Buncheon amphibolite, Imgye gabbroic diorite, and the Buncheon and Hongjesa granite gneisses. During the late Orosirian episode, slab roll-back triggered renewed arc magmatism under extensional conditions and asthenospheric mantle upwelling, leading to the formation of the Okbang amphibolite and A2-type Jungbongsan and Seokpo granites. This study enhances our understanding of the arc-related magmatism and the tectonic evolution of the northeastern Yeongnam Massif during the Orosirian.
DOI: 10.6084/m9.figshare.31362092.v1
title: Arc-related two-stage magmatic episodes during the Orosirian in the northeastern Yeongnam Massif, Korean Peninsula: geochronological and geochemical insights from Buncheon and Okbang amphibolites and Seokpo granite

description: The Yeongnam Massif represents a key Precambrian basement of the Korean Peninsula, and its northeastern part preserves important records of Paleoproterozoic magmatism. Although Orosirian magmatism is widely reported from this region, several magmatic bodies remain insufficiently identified, and no integrated interpretation combining both mafic and felsic magmatism has been conducted to evaluate mantle-crust differentiation processes in an arc environment. This study refines the temporal evolution of arc-related magmatism by integrating new lithological, geochronological, and geochemical data from amphibolite and granite suites. A newly defined Buncheon amphibolite intruded the Buncheon granite gneiss at ca. 1.99–1.96 Ga, followed by metamorphism at ca. 1.86 Ga. The Okbang amphibolite intruded the southern margin of the Buncheon granite gneiss at 1.86–1.84 Ga. At a similar time, a newly defined Seokpo granite intruded the Hongjesa granite gneiss at 1.87 Ga. The Buncheon and Okbang amphibolites have slightly enriched LREEs and high Th/Yb and Nb/La ratios with mostly positive zircon εHf(t) values, suggesting derivation from a fluid-metasomatized mantle source in an arc setting. The Seokpo granite has various εHf(t) values, implying a heterogeneous crustal source, and exhibits A2-type granite signature which is associated with extensional regime within the arc environment. Integrating this and previous studies, the Orosirian magmatism in the northeastern Yeongnam Massif is divided into early (2.0–1.94 Ga) and late (1.87–1.82 Ga) episodes. In the early Orosirian episode, north-to-southward subduction occurred and induced arc magmatism forming the Buncheon amphibolite, Imgye gabbroic diorite, and the Buncheon and Hongjesa granite gneisses. During the late Orosirian episode, slab roll-back triggered renewed arc magmatism under extensional conditions and asthenospheric mantle upwelling, leading to the formation of the Okbang amphibolite and A2-type Jungbongsan and Seokpo granites. This study enhances our understanding of the arc-related magmatism and the tectonic evolution of the northeastern Yeongnam Massif during the Orosirian.
DOI: 10.17632/vgv66g3t3s
title: Bibliometric Dataset (Digital Game-Based Learning in Education)

description: Scopus database as of 18 December 2025 (Digital Game-Based Learning in Education)
DOI: 10.17632/vgv66g3t3s.1
title: Bibliometric Dataset (Digital Game-Based Learning in Education)

description: Scopus database as of 18 December 2025 (Digital Game-Based Learning in Education)
DOI: 10.15468/dl.t3zffu
title: Occurrence Download

description: A dataset containing 2690 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Sander canadensis",
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 {
 "not" : {
 "BasisOfRecord" : [
 "is Fossil"
 ]
 }
 },
 {
 "or" : [
 {
 "not" : {
 "EstablishmentMeans" : [
 "is MANAGED"
 ]
 }
 },
 {
 "not" : {
 "EstablishmentMeans" : [
 "is not null"
 ]
 }
 }
 ]
 },
 {
 "or" : [
 "OccurrenceStatus is Present",
 {
 "not" : {
 "OccurrenceStatus" : [
 "is not null"
 ]
 }
 }
 ]
 }
 ]
}

 The dataset includes 2690 records from 45 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0027193-260208012135463/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.12570435
title: 2022 Ukraine Dutch-language press

description: This dataset was collected and tagged for use in corpus linguistics and textometric software such as Alceste, TXM, or Hyperbase.



Collected via Europresse with the lexical query Oekraïne

From 28 February 2022 to 21 March 2022

Belgian and Dutch-language media: De Morgen, De Standaard, NRC Handelsblad, De Volkskrant

Tags : Alceste method

Number of articles: 3563

Number of words: 2,738,683

Format: .txt
DOI: 10.17632/rmt267v3ck
title: Date of experiment: Extreme climatic event properties drive metabolic and life-history trade-offs in early life stages of marine habitat-forming species

description: Complete Larvae experiment dataset
DOI: 10.17632/rmt267v3ck.1
title: Date of experiment: Extreme climatic event properties drive metabolic and life-history trade-offs in early life stages of marine habitat-forming species

description: Complete Larvae experiment dataset
DOI: 10.15468/dl.s7emcf
title: Occurrence Download

description: A dataset containing 87679 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Pomacanthus",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 87679 records from 319 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0027132-260208012135463/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.syfnnn
title: Occurrence Download

description: A dataset containing 355 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 },
 "Year is greater than or equal to 1900",
 "TaxonKey is Sporobolus coromandelianus"
 ]
}

 The dataset includes 355 records from 42 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0027195-260208012135463/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.18681225
title: STRESSNING OG'IZ BO'SHLIG'I SALOMATLIGIGA TA'SIRI
DOI: 10.5281/zenodo.18681226
title: STRESSNING OG'IZ BO'SHLIG'I SALOMATLIGIGA TA'SIRI
DOI: 10.5281/zenodo.18680954
title: Frilingou_et_al_2025_FF55_NECP_dataset

description: This dataset contains the underlying input data, modelling results, and figures for the journal article on Cost-optimal vs. policy-driven scenarios for a decarbonised European energy system by Frilingou et al., 2025. Version 2 updates the data, code, scripts, and figures after adapting GCAM-Europe to remove the scale-up treatment of biofuels and re-ran the analysis. Version 3 features minor code updates. Version 4 corrects the regional mapping in Figures 2B, 3B, and 4B, as Ireland appears in “Eastern Europe” instead of "Northwestern Europe" in the published version of the paper.
DOI: 10.5281/zenodo.17258601
title: Frilingou_et_al_2025_FF55_NECP_dataset

description: This dataset contains the underlying input data, modelling results, and figures for the journal article on Cost-optimal vs. policy-driven scenarios for a decarbonised European energy system by Frilingou et al., 2025. Version 2 updates the data, code, scripts, and figures after adapting GCAM-Europe to remove the scale-up treatment of biofuels and re-ran the analysis. Version 3 features minor code updates. Version 4 corrects the regional mapping in Figures 2B, 3B, and 4B, as Ireland appears in “Eastern Europe” instead of "Northwestern Europe" in the published version of the paper.
DOI: 10.5281/zenodo.18681202
title: Quantum - Informed Regression: Local Hybrid Functionals Enhance Machine Learning Prediction of Dye Absorption Maxima
DOI: 10.5281/zenodo.18681201
title: Quantum - Informed Regression: Local Hybrid Functionals Enhance Machine Learning Prediction of Dye Absorption Maxima
DOI: 10.15468/dl.zzctu9
title: Occurrence Download

description: A dataset containing 3451 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Balearica pavonina"
 ]
}

 The dataset includes 3451 records from 121 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0027196-260208012135463/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.2rby5x
title: Occurrence Download

description: A dataset containing 6065316 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Quercus",
 "HasCoordinate is true"
 ]
}

 The dataset includes 6065316 records from 5301 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0027129-260208012135463/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.7fsz5x
title: Occurrence Download

description: A dataset containing 13138 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Colombia",
 "OccurrenceStatus is Present",
 "TaxonKey is one of (Ramphastos vitellinus M.H.K.Lichtenstein, 1823, Ramphastos vitellinus culminatus Gould, 1833, Ramphastos vitellinus citreolaemus Gould, 1844, Ramphastos vitellinus vitellinus, Ramphastos vitellinus pintoi, Ramphastos vitellinus ariel Vigors, 1826)"
 ]
}

 The dataset includes 13138 records from 72 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0008179-250415084134356/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.pnvv5r
title: Occurrence Download

description: A dataset containing 93 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is China",
 "TaxonKey is Cymbidium iridioides D.Don"
 ]
}

 The dataset includes 93 records from 9 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0008180-250415084134356/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.15256257
title: 밀레니엄 난제 증명 및 통합 프레임워크
DOI: 10.5281/zenodo.15256258
title: 밀레니엄 난제 증명 및 통합 프레임워크
DOI: 10.3535/whz-gw4-znn
title: Cnidaria

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/cjl-mfe-d7a
title: Cnidaria

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/t9k-0he-ttz
title: Cnidaria

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/9x2-rgb-932
title: †Thamnasteria geometrica (Goldfuss, 1826)

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/eqt-ltp-cvw
title: Cnidaria

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/cmm-m86-89c
title: Cnidaria

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/dhb-7wj-050
title: Equus (Equus) caballus Linnaeus, 1758

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/k23-lsd-kq3
title: Brachiopoda Duméril, 1805

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/h7y-771-nfq
title: †Cyphastrea tubifera Gerth, 1923

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/ls3-cl8-ma7
title: †Rhynchonella Fischer de Waldheim, 1809

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/747-5l0-m5e
title: Cnidaria

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/lqh-733-4hk
title: †Caryophyllia bredai (Milne Edwards & Haime, 1850)

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/mfr-36n-ymh
title: Cnidaria

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/d0t-nk2-g14
title: †Placites polydactylus (von Mojsisovics, 1873)

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/y34-yna-91q
title: Cnidaria

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/tlj-61v-4b7
title: †Peponocyathus duncani (Reuss, 1872)

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.