cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15156/bio/sh1072074.10fu
title: SH1072074.10FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.15156/bio/sh1072076.10fu
title: SH1072076.10FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.15156/bio/sh1072078.10fu
title: SH1072078.10FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.15156/bio/sh1072079.10fu
title: SH1072079.10FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.15468/dl.h7apnz
title: Occurrence Download

description: A dataset containing 32820 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)"
 ]
 }
 },
 "TaxonKey is Bromus erectus Huds.",
 "Year is less than or equal to 2000",
 "Year is greater than or equal to 1970",
 {
 "or" : [
 {
 "not" : {
 "EstablishmentMeans" : [
 "is one of (MANAGED, INTRODUCED)"
 ]
 }
 },
 "EstablishmentMeans is null"
 ]
 },
 {
 "or" : [
 "CoordinateUncertaintyInMeters is less than 1000",
 "CoordinateUncertaintyInMeters is null"
 ]
 }
 ]
}

 The dataset includes 32820 records from 166 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0011715-250402121839773/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.14538106
title: Supplementary Tables for "Sugar-rich foods exacerbate antibiotic-induced microbiome injury"

description: Data S1. Amplicon Sequencing Data and Metadata for Microbiome Samples

This file contains two sheets:



Sheet 1: Sample IDs and Amplicon Sequencing Accession Numbers for human microbiome samples. A table listing sample IDs paired with their corresponding accession numbers for the amplicon sequencing files of human microbiome samples.

Sheet 2: Sample Metadata and  Amplicon Sequencing Accession Numbers for mouse microbiome samples. Detailed metadata for each sample, including sample ID, experiment number, sample collection day, mouse number, antibiotic and diet treatments administered to the mice, and the NCBI Sequence Read Archive (SRA) accession number for the corresponding sequencing data.


 

Data S2. Detailed Nutritional Intake Data for Anonymized Patients

This file contains comprehensive, anonymized data on patient dietary intake. Columns include:



pid: Patient ID.

Meal: Meal category (e.g., breakfast, lunch, dinner).

Food_NSC: Food name.

fdrt: Diet entry day, relative to transplant.

Unit: Unit of measurement for food quantity (e.g., grams, ounces).

Por_eaten: Portion of food consumed.

Food_code, description: Food code and corresponding description from the Food and Nutrient Database for Dietary Studies (FNDDS).

Total calories, weight: Caloric content and weight of the consumed portion.

Individual macronutrients (grams): Gram weight of each macronutrient (e.g., protein, fat, sugar, fiber as well as carbohydrate that excludes sugar and fiber) in the consumed portion.

Dehydrated weight: Total weight of the consumed portion minus the water weight.


 

 

Data S3. Summarized Food Group Intake and Clinical Variables for Bayesian Modeling

This file provides summarized dietary intake data and relevant clinical variables used in the Bayesian model. Columns include:





sdrt: Stool sample collection day, relative to transplant.




fg_egg ... fg_veggie: Average intake (in grams) of foods belonging to nine broad food groups (e.g., eggs, vegetables) during the two days preceding stool sample collection.




intensity: Intensity of the conditioning regimen.




empirical: Binary indicator (yes/no) of patient exposure to specific antibiotics (piperacillin/tazobactam, carbapenems, cefepime, linezolid, oral vancomycin, and metronidazole) in the two days prior to stool sample collection.




simpson_reciprocal: Alpha diversity of the stool sample, calculated using the Simpson reciprocal index.




TPN, EN: Binary indicators (yes/no) of patient receiving total parenteral nutrition (TPN) or enteral nutrition (EN) in the two days prior to stool sample collection.




timebin: Time interval of stool sample collection, categorized by week relative to transplant.
DOI: 10.15468/dl.uzg8ju
title: Occurrence Download

description: A dataset containing 16 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Specimen",
 "Geometry POLYGON((-74.41363 45.41873,-74.94492 44.77053,-76.2917 44.68913,-76.01558 42.92505,-74.5209 42.00418,-69.7476 43.09061,-66.4069 44.83232,-67.45005 47.22568,-69.22994 47.23579,-70.37405 45.6565,-74.41363 45.41873))",
 "HasGeospatialIssue is false",
 "TaxonKey is Potentilla robbinsiana (Lehm.) Oakes ex Rydb."
 ]
}

 The dataset includes 16 records from 6 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001115-250310093411724/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.rbtxtf
title: Occurrence Download

description: A dataset containing 2251 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Spain",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "License is one of (CC0 1.0, CC-BY 4.0)",
 "TaxonKey is Meles meles (Linnaeus, 1758)"
 ]
}

 The dataset includes 2251 records from 14 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001117-250310093411724/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.suv6v2
title: Occurrence Download

description: A dataset containing 2682 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Bison bonasus (Linnaeus, 1758)"
 ]
}

 The dataset includes 2682 records from 81 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001116-250310093411724/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.2p3k8w
title: Occurrence Download

description: A dataset containing 128780 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is one of (Occurrence evidence, Human Observation)",
 "Continent is North America",
 "Country is one of (Canada, United States of America)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Harmonia axyridis (Pallas, 1773)",
 "Year 2020-2025"
 ]
}

 The dataset includes 128780 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001101-250310093411724/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.34691/fk2/z5cfn9/inl3at
title: FAPI-FAPB-pos-1.xyz.bz2

description: :unav
DOI: 10.34691/fk2/z5cfn9/gh1ncg
title: MAPI-vel-1.xyz.bz2

description: :unav
DOI: 10.34691/fk2/z5cfn9/gqqs1r
title: FAPI-MAPI-pos-1-5001-21000.xyz.bz2

description: :unav
DOI: 10.34691/fk2/z5cfn9/ucmvdt
title: FAPI-CsPB-pos-1-10021-14020.xyz.bz2

description: :unav
DOI: 10.34691/fk2/z5cfn9/y5is62
title: FAPI-FAPB-vel-1.xyz.bz2

description: :unav
DOI: 10.34691/fk2/z5cfn9/p8hgi4
title: MAPI-pos-1.xyz.bz2

description: :unav
DOI: 10.34691/fk2/z5cfn9/pqh90w
title: FAPB-pos-1.xyz.bz2

description: :unav
DOI: 10.34691/fk2/z5cfn9/wuxyjv
title: FAPB-vel-1.xyz.bz2

description: :unav
DOI: 10.34691/fk2/z5cfn9/zjvlcd
title: FAPI-CsPB-pos-1-6021-10020.xyz.bz2

description: :unav
DOI: 10.34691/fk2/z5cfn9/vqbd7v
title: FAPI-MAPI-vel-1-5001-21000.xyz.bz2

description: :unav
DOI: 10.34691/fk2/z5cfn9/cvdvjj
title: FAPI-FAPB-NVT-Nose.tar.bz2

description: :unav
DOI: 10.34691/fk2/z5cfn9/wmbir2
title: FAPI-CsPB-pos-1-4001-6020-no-termalizado.xyz.bz2

description: :unav
DOI: 10.34691/fk2/z5cfn9/f7apse
title: FAPI-CsPB-NVT-Nose.tar.bz2

description: :unav
DOI: 10.34691/fk2/z5cfn9/ymri29
title: FAPI-CsPB-vel-1-4001-6020.xyz.bz2

description: :unav
DOI: 10.34691/fk2/z5cfn9/4rhuxn
title: FAPI-MAPI-NVT-Nose.tar.bz2

description: :unav
DOI: 10.34691/fk2/z5cfn9/xwnlfi
title: FAPI-CsPB-vel-1-6021-10020.xyz.bz2

description: :unav
DOI: 10.34691/fk2/z5cfn9/ro6ybo
title: MAPI-NVT-Nose.tar.bz2

description: :unav
DOI: 10.34691/fk2/z5cfn9/vicgij
title: FAPB-NVT-Nose.tar.bz2

description: :unav
DOI: 10.34691/fk2/z5cfn9
title: Molecular dynamics of halide perovskite alloys

description: MD simulations run with the CP2K code.
DOI: 10.34691/fk2/z5cfn9/u5htmv
title: FAPI-CsPB-vel-1-10021-14020.xyz.bz2

description: :unav
DOI: 10.15468/dl.v6gwww
title: Occurrence Download

description: A dataset containing 12655 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Spodoptera frugiperda J.E.Smith, 1797"
 ]
}

 The dataset includes 12655 records from 77 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001119-250310093411724/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.p74wvw
title: Occurrence Download

description: A dataset containing 63 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Cameroon",
 "TaxonKey is Aedes aegypti (Linnaeus, 1762)"
 ]
}

 The dataset includes 63 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001120-250310093411724/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.shfr2j
title: Occurrence Download

description: A dataset containing 16194 species occurrences available in GBIF matching the query:
{
 "and" : [
 "OccurrenceStatus is Present",
 "TaxonKey is Helianthus annuus L.",
 "Year 1800-2000"
 ]
}

 The dataset includes 16194 records from 513 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001118-250310093411724/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17632/c5ckrs8dsc.1
title: A virulence protein activates SERK4 and degrades RNA polymerase IV protein to suppress rice anti-viral immunity

description: Rice, a major global food staple, is threatened by viral infection that hinder its growth and yield. We have recently shown that the virulence protein P3 of rice grassy stunt virus promotes pathogenesis by inducing proteasome-controlled degradation of the rice RNA polymerase IV protein NRPD1a controlled by the P3-interacting E3 ubiquitin ligase P3IP1. However, the underlying mechanisms remain elusive. In this study, we show that P3 acts as a virus-encoded transcription activator-like effector to upregulate transcription of Somatic Embryogenesis Receptor Kinase 4 (SERK4) by directly binding to its promoter. SERK4 phosphorylates P3IP1 and enhances Pol IVa (NRPD1a) degradation following P3IP1-controlled ubiquitination, leading to attenuated antiviral defense in rice. Thus, our study finds a critical viral virulence strategy by encoding a transcription factor-like protein that activates a host kinase to promote proteasome- controlled degradation of NRPD1a, thereby disarming RNA-directed DNA methylation (RdDM) antiviral defense.
DOI: 10.15468/dl.v58jwx
title: Occurrence Download

description: A dataset containing 8169589 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is UK Butterfly Monitoring Scheme (UKBMS)"
 ]
}

 The dataset includes 8169589 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001111-250310093411724/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17632/7yf9839nxx.1
title: Communication Dynamics in SAP ERP Teams

description: This paper investigates the critical role of communication in SAP ERP teams, exploring the communication dynamics, the balance between technical and communication skills, the dynamics within cross-functional teams, and how often are technical issues mistakenly blamed for project setbacks that are due to communication failures. Drawing on empirical data collected from SAP professionals, this study examines how communication failures impact project outcomes and identifies key areas for improvement in SAP project management and team collaboration. We used descriptive statistics, frequency counts, and distributions. Marginal probability from contingency tables to investigate the association between variables. We measured the relationships by applying chi-squared tests with the Yates adjustments (p&lt;0.05). Applied Cramer’s V as an effect size. Performed hypothesis tests to check for the association between the perception of communication dynamics and variables such as professional role, professional level, working time experience, SAP business line, having international contact at work, and gender. Findings: In our sample, the communication dynamics is, in general, uniform among the SAP teams, and is not associated with the professional role, professional level, years of experience, the SAP business line, or having international contacts at work. It seems to be associated with gender, with males having a more critical perception of communication issues affecting project performance. The communication dynamics within cross-functional teams are predominantly positive, although there is room for improvement, with only 23% considering it not effective or challenging. The perception is that there are almost always technical issues mistakenly blamed on communication failures, with 82% of cases.
DOI: 10.15468/dl.sgxnpr
title: Occurrence Download

description: A dataset containing 89 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Tetrastichus crioceridis Graham, 1983",
 "HasGeospatialIssue is false",
 "HasCoordinate is true"
 ]
}

 The dataset includes 89 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001122-250310093411724/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.6073/pasta/faa6a44c0bd78585adda95f06495b6bf
title: Eight Mile Lake Research Watershed, Carbon in Permafrost Experimental Heating Research (CiPEHR): Seasonal water table depth data, 2012-2024

description: The Carbon in Permafrost Experimental Heating Research (CiPEHR) project addresses the following questions: 1) Does ecosystem warming cause a net release of C from the ecosystem to the atmosphere?, 2) Does the decomposition of old C, that comprises the bulk of the soil C pool, influence ecosystem C loss?, and 3) How do winter and summer warming alone, and in combination, affect ecosystem C exchange? We are answering these questions using a combination of field and laboratory experiments to measure ecosystem carbon balance and radiocarbon isotope ratios at a warming experiment located in an upland tundra field site near Healy, Alaska in the foothills of the Alaska Range. This data includes water table depth measurements collected from winter warming and control treatment plots at CiPEHR for the ice-free period of 2024. Note that the experimental warming portion of this experiment concluded in 2022. These data are a continuation of measurements taken at previously warmed plots but plots were not actively manipulated in 2023 and 2024.
DOI: 10.17632/sd8hzpg69b.1
title: Mango Leaf Disease Detection Dataset Using Deep Learning

description: This dataset is Part 1 of the full dataset. The dataset contains images of mango leaves affected by various diseases. The images were collected from different sources and preprocessed using resizing, augmentation, and gamma correction techniques.
DOI: 10.17632/sd8hzpg69b.2
title: Mango Leaf Disease Detection Dataset Using Deep Learning

description: Dataset Overview:
This dataset contains images of mango leaves collected from various mango orchards to aid in deep learning-based disease detection. The images have been preprocessed and categorized into healthy and diseased classes. The dataset aims to support research on plant disease detection, particularly for mango orchards.

Preprocessing Techniques:
✅ Resizing to maintain uniform image dimensions
✅ Data Augmentation (Rotation, Flipping, Shifting) to increase dataset variability
✅ Gamma Correction for brightness adjustment and enhancement

This dataset is divided into two parts due to file size constraints.

🔗 Related Datasets:
👉 Part-2 Dataset: Awoal, Robiul (2025), “Mango Leaf Disease Detection Dataset Using Deep Learning - Part 2”, Mendeley Data, V1

Please ensure that both Part-1 & Part-2 are downloaded for full dataset access.

📌 Citation:
Awoal, Robiul (2025), “Mango Leaf Disease Detection Dataset Using Deep Learning”, Mendeley Data, V1, doi: 10.17632/sd8hzpg69b.1
DOI: 10.17632/sd8hzpg69b.3
title: SAR-MLD1-2025: A High Quality Mango Leaf Dataset for Disease Classification (part1)

description: Dataset Overview:
This dataset contains images of mango leaves collected from various mango orchards to aid in deep learning-based disease detection. The images have been categorized into healthy and diseased classes. The dataset aims to support research on plant disease detection, particularly for mango orchards.

This dataset is divided into two parts due to file size constraints. This dataset is Part-1 of the full dataset and contains additional images of mango leaves affected by various diseases.

🔗 Related Datasets:
👉 Part-2 Dataset doi: 10.17632/j3bn63t4sp.3

Reference: Awoal, Robiul; Islam, Zubair; Sarower, Afjal (2025), “SAR-MLD1-2025: A High Quality Mango Leaf Dataset for Disease Classification (part2)”, Mendeley Data, V3, doi: 10.17632/j3bn63t4sp.3

Please ensure that both Part-1 & Part-2 are downloaded for full dataset access.
DOI: 10.15468/dl.kyskj9
title: Occurrence Download

description: A dataset containing 53 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Mustela nigripes (Audubon & Bachman, 1851)",
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 "BasisOfRecord is Human Observation"
 ]
}

 The dataset includes 53 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001124-250310093411724/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.pumcvj
title: Occurrence Download

description: A dataset containing 3525 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Rhyacionia buoliana (Denis & Schiffermüller), 1775)",
 "HasCoordinate is true"
 ]
}

 The dataset includes 3525 records from 142 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001123-250310093411724/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.6073/pasta/88e3388707d1854bfe389be608aefaae
title: Eight Mile Lake Research Watershed, Carbon in Permafrost Experimental Heating Research (CiPEHR): Annual and growing season decomposition of a common substrate, 2008-2024

description: The Carbon in Permafrost Experimental Heating Research (CiPEHR) project addresses the following questions: 1) Does ecosystem warming cause a net release of C from the ecosystem to the atmosphere?, 2) Does the decomposition of old C, that comprises the bulk of the soil C pool, influence ecosystem C loss?, and 3) How do winter and summer warming alone, and in combination, affect ecosystem C exchange? We are answering these questions using a combination of field and laboratory experiments to measure ecosystem carbon balance and radiocarbon isotope ratios at a warming experiment located in an upland tundra field site near Healy, Alaska in the foothills of the Alaska Range.