cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.18311505
title: Spatially organised IFNγ-instructed dendritic cell niches sustain human chronic inflammation

description: Processed and Annotated scRNAseq and Xenium Spatial Transcriptomics data for reviewers of the submitted article:

"Spatially organised IFNγ-instructed dendritic cell niches sustain human chronic inflammation"
DOI: 10.6084/m9.figshare.31123414
title: Gene Ontology annotation of the 'Golden Delicious' genes

description: The predicted genes of the Golden Delicious genome were functionally annotated with Gene Ontology (GO) terms using Argot2 (Falda et al., 2012), and results were filtered using FunTaxIS-lite (Bianca et al., 2023).
DOI: 10.6084/m9.figshare.31123414.v1
title: Gene Ontology annotation of the 'Golden Delicious' genes

description: The predicted genes of the Golden Delicious genome were functionally annotated with Gene Ontology (GO) terms using Argot2 (Falda et al., 2012), and results were filtered using FunTaxIS-lite (Bianca et al., 2023).
DOI: 10.15468/dl.gzhg6x
title: Occurrence Download

description: A dataset containing 1 species occurrences available in GBIF matching the query:
{"type":"and","predicates":[{"type":"within","geometry":"POLYGON ((8.298 5.743143, 8.227385999999999 5.737572, 8.158514 5.720997, 8.093083999999999 5.693828, 8.03271 5.656734, 7.978881 5.61063, 7.932921 5.556654, 7.895962 5.496137, 7.868913 5.430571, 7.852436 5.36157, 7.846933 5.290836, 7.852537 5.220109, 7.869105 5.151132, 7.896227 5.085601, 7.933232 5.025128, 7.979208 4.971202, 8.033022000000001 4.925149, 8.093349 4.888099, 8.158706 4.860965, 8.227487 4.844414, 8.298 4.838851, 8.368513 4.844414, 8.437294 4.860965, 8.502651 4.888099, 8.562977999999999 4.925149, 8.616792 4.971202, 8.662768 5.025128, 8.699773 5.085601, 8.726895000000001 5.151132, 8.743463 5.220109, 8.749067 5.290836, 8.743563999999999 5.36157, 8.727086999999999 5.430571, 8.700037999999999 5.496137, 8.663079 5.556654, 8.617119000000001 5.61063, 8.56329 5.656734, 8.502916000000001 5.693828, 8.437486 5.720997, 8.368614000000001 5.737572, 8.298 5.743143))"},{"type":"equals","key":"CLASS_KEY","value":"212","matchCase":false},{"type":"greaterThanOrEquals","key":"YEAR","value":"2015","matchCase":false},{"type":"not","predicate":{"type":"in","key":"BASIS_OF_RECORD","values":["MATERIAL_CITATION","MATERIAL_SAMPLE","PRESERVED_SPECIMEN"],"matchCase":false}},{"type":"lessThanOrEquals","key":"COORDINATE_UNCERTAINTY_IN_METERS","value":"10000","matchCase":false},{"type":"equals","key":"LICENSE","value":"CC BY 4.0","matchCase":false}]}

 The dataset includes 1 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0004701-260120142942310/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.pb2xt8
title: Occurrence Download

description: A dataset listing the 4137962 species recorded in GBIF matching the query:
{
 "OccurrenceStatus" : [
 "is Present"
 ]
}

 The dataset's 4137962 records were derived from 88274 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0004673-260120142942310/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17632/89gjfnyp38
title: Graduate Student Literature Review: Tips and tricks for neutrophil function assessment in dairy cattle

description: This dataset includes four summary tables supporting the review “Tips and tricks for neutrophil function assessment in dairy cattle.” The tables compile and compare commonly used in vitro assays for evaluating bovine polymorphonuclear leukocyte (PMN) function, including chemotaxis (Table 1), phagocytosis (Table 2), oxidative burst (Table 3), and neutrophil extracellular trap (NETs) formation (Table 4). For each assay, the tables summarize the detection principle/readout, experimental application, and key advantages and limitations. Curated peer-reviewed references are provided to support methodological choices and promote reproducibility.
DOI: 10.17632/89gjfnyp38.1
title: Graduate Student Literature Review: Tips and tricks for neutrophil function assessment in dairy cattle

description: This dataset includes four summary tables supporting the review “Tips and tricks for neutrophil function assessment in dairy cattle.” The tables compile and compare commonly used in vitro assays for evaluating bovine polymorphonuclear leukocyte (PMN) function, including chemotaxis (Table 1), phagocytosis (Table 2), oxidative burst (Table 3), and neutrophil extracellular trap (NETs) formation (Table 4). For each assay, the tables summarize the detection principle/readout, experimental application, and key advantages and limitations. Curated peer-reviewed references are provided to support methodological choices and promote reproducibility.
DOI: 10.15468/dl.dfqh7y
title: Occurrence Download

description: A dataset containing 1612666 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is NZ National Vegetation Survey occurrence data"
 ]
}

 The dataset includes 1612666 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0004679-260120142942310/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.18336352
title: BIOLOGIYA FANLARIDA GAMIFIKATSIYA METODINING AHAMIYATI VA ONLINE DARSLARDA SAMARADORLIGI

description: Ushbu maqola gamifikatsiya pedagogik strategiyasi sifatida universitet talabalari motivatsiyasi va ishtirokini oshirish samaradorligini o‘rganadi. Gamifikatsiya – o‘yin mexanikasi sifatida ballar, leaderboards va mukofotlar kabi elementlarni an’anaviy ta’lim jarayoniga qo‘llash orqali talabalar ishtirokini va qiziqishni kuchaytiradi. Tadqiqot natijalari shuni ko‘rsatdiki, gamifikatsiya pandemiya sharoitida talabalarning darslarga qiziqishini va motivatsiyasini oshiradi, garchi bu har doim akademik natijalarga bevosita ta’sir qiladi.
DOI: 10.5281/zenodo.18336353
title: BIOLOGIYA FANLARIDA GAMIFIKATSIYA METODINING AHAMIYATI VA ONLINE DARSLARDA SAMARADORLIGI

description: Ushbu maqola gamifikatsiya pedagogik strategiyasi sifatida universitet talabalari motivatsiyasi va ishtirokini oshirish samaradorligini o‘rganadi. Gamifikatsiya – o‘yin mexanikasi sifatida ballar, leaderboards va mukofotlar kabi elementlarni an’anaviy ta’lim jarayoniga qo‘llash orqali talabalar ishtirokini va qiziqishni kuchaytiradi. Tadqiqot natijalari shuni ko‘rsatdiki, gamifikatsiya pandemiya sharoitida talabalarning darslarga qiziqishini va motivatsiyasini oshiradi, garchi bu har doim akademik natijalarga bevosita ta’sir qiladi.
DOI: 10.17632/jj79bh8895
title: The Effect of Litter Layer Structure on Soil Organic Carbon

description: The Effect of Litter Layer Structure on Soil Organic Carbon
Leaf characteristics and soil total organic carbon content data
DOI: 10.17632/jj79bh8895.1
title: The Effect of Litter Layer Structure on Soil Organic Carbon

description: The Effect of Litter Layer Structure on Soil Organic Carbon
Leaf characteristics and soil total organic carbon content data
DOI: 10.17632/84747xxmnc
title: Plastic beverage bottles without a deposit on the Dutch market

description: This dataset belongs to the public report that we are preparing on Dutch plastic beverage bottles.
In the months November 2025 to January 2026 various sales outlets for beverage bottles were visited and beverage bottles were purchased that are not part of the deposit refund system. These bottles were analysed with respect to their residues after consumption, various design aspects and a recyclability parameter (the mass share of targeted material).
DOI: 10.17632/84747xxmnc.2
title: Plastic beverage bottles without a deposit on the Dutch market

description: This dataset belongs to the public report that we are preparing on Dutch plastic beverage bottles.
In the months November 2025 to January 2026 various sales outlets for beverage bottles were visited and beverage bottles were purchased that are not part of the deposit refund system. These bottles were analysed with respect to their residues after consumption, various design aspects and a recyclability parameter (the mass share of targeted material).
DOI: 10.17632/cygy9j9ty7
title: Tachykinin-related peptide signalling is important for the immune response of the mealworm beetle Tenebrio molitor L - dataset

description: The data associated with the figures presented in the article: "Tachykinin-related peptide signalling is important for the immune response of the mealworm beetle Tenebrio molitor L." 

Konopińska, N., Walkowiak-Nowicka, K., Nowicki, G., Keshavarz, M., Chowański, S., Rolff, J., & Urbański, A. (2025). Tachykinin-related peptide signalling is important for the immune response of the mealworm beetle Tenebrio molitor L. bioRxiv, 2025-08.

and

Konopińska, N., Walkowiak-Nowicka, K., Nowicki, G., Keshavarz, M., Chowański, S., Rolff, J., & Urbański, A. (2025). Tachykinin-related peptide signalling is important for the immune response of the mealworm beetle Tenebrio molitor L. Front. Immunol. 17:1725225; doi: 10.3389/fimmu.2026.1725225
DOI: 10.17632/cygy9j9ty7.2
title: Tachykinin-related peptide signalling is important for the immune response of the mealworm beetle Tenebrio molitor L - dataset

description: The data associated with the figures presented in the article: "Tachykinin-related peptide signalling is important for the immune response of the mealworm beetle Tenebrio molitor L." 

Konopińska, N., Walkowiak-Nowicka, K., Nowicki, G., Keshavarz, M., Chowański, S., Rolff, J., & Urbański, A. (2025). Tachykinin-related peptide signalling is important for the immune response of the mealworm beetle Tenebrio molitor L. bioRxiv, 2025-08.

and

Konopińska, N., Walkowiak-Nowicka, K., Nowicki, G., Keshavarz, M., Chowański, S., Rolff, J., & Urbański, A. (2025). Tachykinin-related peptide signalling is important for the immune response of the mealworm beetle Tenebrio molitor L. Front. Immunol. 17:1725225; doi: 10.3389/fimmu.2026.1725225
DOI: 10.17632/cwbkd645n3
title: The impact of matching effect between the value framework for ecological agricultural products and digital traceability on consumer value co-creation

description: Three pre-experiments were conducted using between-subjects designs with two levels of independent variables to test the success of manipulating the ecological agricultural product value framework, digital traceability, and environmental self-efficacy. This was followed by three formal experiments. Experiment 1 examined how the matching effect between the ecological agricultural product value framework and digital traceability influences consumers' willingness to co-create value. It employed a 2 (ecological agricultural product value framework: value gain vs. value loss) × 2 (digital traceability: present vs. absent) between-subjects design, divided into four groups, to measure willingness to co-create value. Experiment 2 further examined the mediating roles of green benevolent trust and green competent trust. Employing a 2 (eco-agricultural product value framework: value gain vs. value loss) × 2 (digital traceability: present vs. absent) between-subjects design across four groups, it measured green benevolent trust, green competent trust, and value co-creation willingness. Experiment 3 further examined the moderating role of environmental self-efficacy using a 2 (Value Framework for Eco-Agricultural Products: Value Gain vs. Value Loss) × 2 (Digital Traceability: Yes vs. No) × 2 (Environmental Self-Efficacy: High vs. Low) between-subjects design, divided into eight groups, measuring green benevolent trust, green competent trust, and value co-creation intention.
DOI: 10.15468/dl.et3caz
title: Occurrence Download

description: A dataset containing 1222 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Rana arvalis",
 "Country is Germany",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Year 2023-2024"
 ]
}

 The dataset includes 1222 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0004706-260120142942310/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17632/cwbkd645n3.1
title: The impact of matching effect between the value framework for ecological agricultural products and digital traceability on consumer value co-creation

description: Three pre-experiments were conducted using between-subjects designs with two levels of independent variables to test the success of manipulating the ecological agricultural product value framework, digital traceability, and environmental self-efficacy. This was followed by three formal experiments. Experiment 1 examined how the matching effect between the ecological agricultural product value framework and digital traceability influences consumers' willingness to co-create value. It employed a 2 (ecological agricultural product value framework: value gain vs. value loss) × 2 (digital traceability: present vs. absent) between-subjects design, divided into four groups, to measure willingness to co-create value. Experiment 2 further examined the mediating roles of green benevolent trust and green competent trust. Employing a 2 (eco-agricultural product value framework: value gain vs. value loss) × 2 (digital traceability: present vs. absent) between-subjects design across four groups, it measured green benevolent trust, green competent trust, and value co-creation willingness. Experiment 3 further examined the moderating role of environmental self-efficacy using a 2 (Value Framework for Eco-Agricultural Products: Value Gain vs. Value Loss) × 2 (Digital Traceability: Yes vs. No) × 2 (Environmental Self-Efficacy: High vs. Low) between-subjects design, divided into eight groups, measuring green benevolent trust, green competent trust, and value co-creation intention.
DOI: 10.17632/mjrhkf57ms
title: Dataset for "Remote Sensing-Based Approaches for Automatic Vineyard Area Identification: A Systematic Review"

description: This dataset provides the full data-extraction table supporting the systematic review “Remote Sensing-Based Approaches for Automatic Vineyard Area Identification: A Systematic Review”.

It contains study-level extracted information for the empirical studies included in the synthesis (n=80), organised by application-scale groups: (A) vineyard parcel/field, (B) vine rows, (C) individual vines (plant-level), and (R) regional assessments.
In addition to bibliographic metadata and study context, the table records mapping applications/outputs and task flags (Detection, Delineation, Segmentation, Classification, Estimation), remote-sensing system and sensor/platform, spectral modality and spatial resolution, input information types, method category and specific methods, and the best-reported evaluation metrics (as reported by the original authors). Missing or unreported fields are preserved as not reported (no assumptions or imputation).
Publication-venue metadata are included for descriptive analysis: Publisher, Journal/venue, Type, and SCImago Journal Rank (SJR). Journal articles are recorded by SJR quartile for the publication year (Q1–Q3 when available). For proceedings (conference papers and book chapters), the venue SJR score is stored as a numeric value and categorised into three levels (Top/Medium/Low) using the thresholds defined in the associated manuscript.
Risk of bias/applicability is reported per domain (D1 coverage; D2 sensor & pre-processing; D3 ground-truth; D4 validation; D5 portability) plus an overall rating, following the decision rule described in the manuscript. A reproducibility tag summarises whether data/code availability enables independent reuse, as defined in the accompanying data dictionary.

This dataset is intended to increase transparency and enable verification, re-analysis, and evidence mapping of the vineyard identification literature.

Please cite the associated article and this dataset DOI when reusing the data.
DOI: 10.17632/mjrhkf57ms.2
title: Dataset for "Remote Sensing-Based Approaches for Automatic Vineyard Area Identification: A Systematic Review"

description: This dataset provides the full data-extraction table supporting the systematic review “Remote Sensing-Based Approaches for Automatic Vineyard Area Identification: A Systematic Review”.

It contains study-level extracted information for the empirical studies included in the synthesis (n=80), organised by application-scale groups: (A) vineyard parcel/field, (B) vine rows, (C) individual vines (plant-level), and (R) regional assessments.
In addition to bibliographic metadata and study context, the table records mapping applications/outputs and task flags (Detection, Delineation, Segmentation, Classification, Estimation), remote-sensing system and sensor/platform, spectral modality and spatial resolution, input information types, method category and specific methods, and the best-reported evaluation metrics (as reported by the original authors). Missing or unreported fields are preserved as not reported (no assumptions or imputation).
Publication-venue metadata are included for descriptive analysis: Publisher, Journal/venue, Type, and SCImago Journal Rank (SJR). Journal articles are recorded by SJR quartile for the publication year (Q1–Q3 when available). For proceedings (conference papers and book chapters), the venue SJR score is stored as a numeric value and categorised into three levels (Top/Medium/Low) using the thresholds defined in the associated manuscript.
Risk of bias/applicability is reported per domain (D1 coverage; D2 sensor & pre-processing; D3 ground-truth; D4 validation; D5 portability) plus an overall rating, following the decision rule described in the manuscript. A reproducibility tag summarises whether data/code availability enables independent reuse, as defined in the accompanying data dictionary.

This dataset is intended to increase transparency and enable verification, re-analysis, and evidence mapping of the vineyard identification literature.

Please cite the associated article and this dataset DOI when reusing the data.
DOI: 10.17632/6f2d2rfpgm
title: Article 1

description: Supplementary material list of reviewed articles
DOI: 10.17632/6f2d2rfpgm.1
title: Article 1

description: Supplementary material list of reviewed articles
DOI: 10.17172/nomad/2026.01.22-1
title: NOMAD dataset: Dynamical Scaling of Coarse-Grained Ionic Liquid Under Shear Flow
DOI: 10.5281/zenodo.15094541
title: Page Extraction Dataset

description: In digitised cultural heritage items such as books, newspapers and archival records, a problem that can negatively affect OCR are black margins around a page caused by document scanning. In order to enable document layout analysis (DLA), these black margins need to be cropped and the pages need to be extracted correctly. To enable the training of a machine learning model capable of extracting pages, a dataset was created. The machine learning task for which this dataset was collected falls into the domain of image segmentation and, more generally, of computer vision. The dataset was compiled by Vahid Rezanezhad within the research project “Mensch.Maschine.Kultur – Künstliche Intelligenz für das Digitale Kulturelle Erbe” at the Staatsbibliothek zu Berlin – Berlin State Library (SBB). The research project was funded by the Federal Government Commissioner for Culture and the Media (BKM), project grant no. 2522DIG002. The Minister of State for Culture and the Media is part of the German Federal Government.
DOI: 10.5281/zenodo.15094542
title: Page Extraction Dataset

description: In digitised cultural heritage items such as books, newspapers and archival records, a problem that can negatively affect OCR are black margins around a page caused by document scanning. In order to enable document layout analysis (DLA), these black margins need to be cropped and the pages need to be extracted correctly. To enable the training of a machine learning model capable of extracting pages, a dataset was created. The machine learning task for which this dataset was collected falls into the domain of image segmentation and, more generally, of computer vision. The dataset was compiled by Vahid Rezanezhad within the research project “Mensch.Maschine.Kultur – Künstliche Intelligenz für das Digitale Kulturelle Erbe” at the Staatsbibliothek zu Berlin – Berlin State Library (SBB). The research project was funded by the Federal Government Commissioner for Culture and the Media (BKM), project grant no. 2522DIG002. The Minister of State for Culture and the Media is part of the German Federal Government.
DOI: 10.5281/zenodo.18336380
title: BOSHLANGICH SINF O'QUVCHILARIGA RUS TILINI ÒRGATISH METODLAR

description:  Hozirgi zamon globallashuv davrida rus tilini oqitish nafaqat milliy darajadagi, balki xalaqaro hamkorlik uchun ham muhum masala hisoblanadi.Òzbek sinflarida ya'ni boshlangich sinflarda Rus tilini samarali òrgatish uchun an'anaviy va zamonaviy pedagogik yondashuvlarni uyģunlashtirgan holda metodlardan foydalanish lozim.Ushbu maqolada Rus tilini o‘qitishda qo'llaniladigan samarali usullar, qiziqarli metodlar va  innovatsion yondashuvlar masalalari keng tahlil qilinadi.
DOI: 10.5281/zenodo.18336379
title: BOSHLANGICH SINF O'QUVCHILARIGA RUS TILINI ÒRGATISH METODLAR

description:  Hozirgi zamon globallashuv davrida rus tilini oqitish nafaqat milliy darajadagi, balki xalaqaro hamkorlik uchun ham muhum masala hisoblanadi.Òzbek sinflarida ya'ni boshlangich sinflarda Rus tilini samarali òrgatish uchun an'anaviy va zamonaviy pedagogik yondashuvlarni uyģunlashtirgan holda metodlardan foydalanish lozim.Ushbu maqolada Rus tilini o‘qitishda qo'llaniladigan samarali usullar, qiziqarli metodlar va  innovatsion yondashuvlar masalalari keng tahlil qilinadi.
DOI: 10.17632/p4v7f3t3vc
title: Eye-Tracking Data on Reading English Relative Clauses by Farsi and Dutch Speakers

description: In an eye-tracking experiment, we explored whether there is a cross-linguistic influence of L1 Farsi and L1 Dutch on the processing of L2 English subject and object relative clauses. Moreover, we assessed whether these L2 learners rely on the morphological cues in that-clause and who(m)-clause conditions or whether they can also process the structural cues in English relative clauses. Forty-two Iranian Farsi-speaking students and twenty-nine Dutch students at the University of Groningen participated in the experiment. They were tested individually in the eye lab at the University of Groningen. Eye movements were recorded using a Tobii 1750 Eye tracker, interfaced with a laptop. The sampling rate was 50 HZ. The materials for this experiment were taken from the items used by Staub (2010) and Staub et al. (2017). The present study used 36 sentences to create four types of relative clauses per item (in total 144 relative clause sentences); subject and direct object relative clauses with either the relative pronoun ‘that’ or the relative pronouns ‘who/whom’. We analysed relative clause sentences in three regions: the embedded noun phrase in the relative clause, embedded verb phrase in the relative clause, and the combined region of these two. For each region, three reading time measures were computed: First-pass reading time (FP), Regression path duration (RPD), and Total reading time (TRT). Statistical analysis was conducted using linear mixed-effects models of the reading times. We used R (R Core Team, 2019) and the lme4 package (Bates et al., 2015) to predict the times of the eye movement measurements based on L1 (Farsi versus Dutch), Clause Type (subject versus object) and Type of Pronoun (that-clause versus who(m)-clause). As random effects, we included intercepts for subjects and items. First, we created a model with the main effects and then compared it with a model with the interaction. In the models, the subject relative was the baseline for Clause Type and that-clause condition was the baseline for the Type of Pronoun. In the case of an interaction of Clause Type and Type of Pronoun, we ran extra analyses to test the effect of Clause Type in the two Types of Pronoun conditions separately.