cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.13145/bacdive156182.20241212.9.2
title: Enterococcus faecium

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive156182.20251217.10
title: Enterococcus faecium

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive156183.20241212.9.2
title: Lactobacillus fermentum

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive156183.20251217.10
title: Lactobacillus fermentum

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive156184.20241212.9.2
title: Deinococcus geothermalis

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive156184.20251217.10
title: Deinococcus geothermalis

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive156185.20250331.9.3
title: Enterococcus malodoratus

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive156185.20251217.10
title: Enterococcus malodoratus

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive156186.20241212.9.2
title: Chitinophaga sp.

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive156186.20251217.10
title: Chitinophaga sp.

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive156187.20241212.9.2
title: Mycobacterium nebraskense

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.3535/kh9-9jp-d66
title: Noctuidae

description: Digital Specimen for the physical specimen hosted at Finnish Museum of Natural History.
DOI: 10.13145/bacdive156187.20251217.10
title: Mycobacterium nebraskense

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive156188.20241212.9.2
title: Pelomonas aquatica

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.3535/1mw-7ca-5sy
title: Noctuidae

description: Digital Specimen for the physical specimen hosted at Finnish Museum of Natural History.
DOI: 10.3535/5fg-qlr-k3e
title: Noctuidae

description: Digital Specimen for the physical specimen hosted at Finnish Museum of Natural History.
DOI: 10.3535/k1p-cbv-f7z
title: Sideridis (Aneda) Sukhareva, 1973

description: Digital Specimen for the physical specimen hosted at Finnish Museum of Natural History.
DOI: 10.13145/bacdive156188.20251217.10
title: Pelomonas aquatica

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive156189.20241212.9.2
title: Pelomonas aquatica

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive156189.20251217.10
title: Pelomonas aquatica

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.15468/dl.wecxqf
title: Occurrence Download

description: A dataset containing 687426 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Spain",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Larus michahellis"
 ]
}

 The dataset includes 687426 records from 54 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0078797-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.13145/bacdive156190.20241212.9.2
title: Macrococcus caseolyticus

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive156190.20251217.10
title: Macrococcus caseolyticus

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.15468/dl.jzdkvw
title: Occurrence Download

description: A dataset containing 649 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Specimen",
 "TaxonKey is Callidulidae"
 ]
}

 The dataset includes 649 records from 56 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0051526-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.6a87z2
title: Occurrence Download

description: A dataset containing 3814 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Ruellia tuberosa L."
 ]
}

 The dataset includes 3814 records from 208 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0051530-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.jwnkm7
title: Occurrence Download

description: A dataset containing 17938 species occurrences available in GBIF matching the query:
{
 "and" : [
 "OccurrenceStatus is Present",
 "TaxonKey is Ageratina adenophora (Spreng.) R.M.King & H.Rob."
 ]
}

 The dataset includes 17938 records from 241 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0051527-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.zg2sjg
title: Occurrence Download

description: A dataset containing 17454 species occurrences available in GBIF matching the query:
{
 "and" : [
 "OccurrenceStatus is Present",
 "TaxonKey is Mikania micrantha Kunth"
 ]
}

 The dataset includes 17454 records from 404 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0051528-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.f4cs6u
title: Occurrence Download

description: A dataset containing 7896 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Aconitum napellus subsp. lusitanicum Rouy"
 ]
}

 The dataset includes 7896 records from 124 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0051534-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.dthc9x
title: Occurrence Download

description: A dataset containing 329 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Specimen",
 "TaxonKey is Doidae"
 ]
}

 The dataset includes 329 records from 12 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0051533-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.6ru4ad
title: Occurrence Download

description: A dataset containing 152 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Aulopiformes, Aulopiformes, Aulopiformes, Aulopiformes, Aulopiformes, 204357348, 212391795, 209459604, Aulopiformes, Aulopiformes, Aulopiformes, Aulopiformes, Aulopiformes, 205974402, 212101747, 205893601, Aulopiformes, Aulopiformes, 187337798, 205000845, Aulopiformes, Aulopiformes, Aulopiformes, AULOPIFORMES, Aulopiformes, Aulopiformes, Aulopiformes, 205844767, 203900158, 206038106, 209127176, 212361000, 205893583, Aulopiformes, 205944812, Aulopiformes, 205907181, Aulopiformes, Aulopiformes, Aulopiformes, Aulopiformes, 203862642, Aulopiformes, 210656141, 211759095, Aulopiformes, 204795262, Aulopiformes, Aulopiformes, Aulopiformes, 209581519, 205967406, 210654624, 205836817, Aulopiformes, Aulopiformes, 203894271, 157073619, 205945304, 204766112, 205312944, Aulopiformes, Aulopiformes, Aulopiformes, 206025363, 204999552, Aulopiformes, 205809928, Aulopiformes, 205900890, Aulopiformes, Aulopiformes, 161468649, 212107906, 205098113, Aulopiformes, Aulopiformes, Aulopiformes, 206006513, Aulopiformes, Aulopiformes, Aulopiformes, Aulopiformes, Aulopiformes, Aulopiformes, Aulopiformes, Aulopiformes, Aulopiformes, Aulopiformes, Aulopiformes, Aulopiformes, Aulopiformes, Aulopiformes, Aulopiformes, Aulopiformes, Aulopiformes, Aulopiformes, Aulopiformes, Aulopiformes, Aulopiformes, Aulopiformes, Aulopiformes, Aulopiformes, Aulopiformes, Aulopiformes, Aulopiformes, Aulopiformes, Aulopiformes, Aulopiformes, Aulopiformes, Aulopiformes, 205318658, 212413571, Aulopiformes, 209346012, Aulopiformes, Aulopiformes, 212109184, Aulopiformes, 206032627, 205986290, 209454588, 205994160, 205193022, 158158766, Aulopiformes, Aulopiformes, Aulopiformes, Aulopiformes, 205279703, 205458273, 208566927, 210217793, Aulopiformes, Aulopiformes, Aulopiformes, Aulopiformes, Aulopiformes, Aulopiformes, Aulopiformes, Aulopiformes, Aulopiformes, Aulopiformes, Aulopiformes, Aulopiformes, Aulopiformes, Aulopiformes, Aulopiformes , Aulopiformes, Aulopiformes, Aulopiformes, Aulopiformes, Aulopiformes, Aulopiformes, Aulopiformes, Aulopiformes, 212102344, Aulopiformes (disputed), Aulopiformes D.E.Rosen, 1973, Aulopiformes Rosen, 1973, Aulopiformes Rosen, 1973, Aulopiformes Rosen, 1973, Aulopiformes Rosen, 1973, Myctophiformes Regan, 1911, Stomiiformes Regan, 1909)",
 "BasisOfRecord is one of (Specimen, Human Observation, Observation, Living Specimen, Machine Observation, Literature Occurrence)",
 "Geometry POLYGON((109.5 20.15,117.25 20.15,117.25 24,109.5 24,109.5 20.15))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 152 records from 14 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0051536-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.14562393
title: A Multioutput Regression Model using Stacked Ensemble Machine Learning Framework for Predicting Disease-Specific Microbial Characteristics

description: The omics method such as metagenomics and metabolomics shows the importance of the human gut microbiome in whole-body health and diseases. The microbe-related methods resulting into a huge volume of datasets require machine learning techniques to process them. All these factors do not aid reproducibility, clinical translation and quite often result in skewed or false associations between the microbes and some disease, due to limitations such as- scarcity of sample size, inconsistency in protocols, and distribution of labels, and so on. To deal with these issues, we developed a microbial characteristics-based framework for the prediction of diseases using the GMrepo dataset which included 70335 samples. The dataset includes demographics details of the patients such as age, BMI, country, gender, name of the targeted disease, were used as input features for the model while the predicted bacteria and their relative abundance were the outputs. A stacked ensemble multi-model regressor was created using Random Forest and XGBoost as base and Meta learners respectively. The results were evaluated using various regression metrics such as the Mean Squared Error (MSE), Mean Absolute Error (MAE), R squared (R2), and Mean Absolute Percentage Error (MAPE), Symmetric MAPE (sMAPE), obtaining satisfactory results. Akaike Information Criterion (AIC) and Bayesian Information Criterion (BIC) were applied to balance between the model fit and complexity. This approach makes it possible to completely automate the process of finding microbial features for disease prediction by overcoming the critical issues of reproducibility and scalability. Moving the microbiome research from observational association studies to efficacy studies leads to further development of clinical applicability of our research and can contribute to the revolution in precision medicine.
DOI: 10.5281/zenodo.14562394
title: A Multioutput Regression Model using Stacked Ensemble Machine Learning Framework for Predicting Disease-Specific Microbial Characteristics

description: The omics method such as metagenomics and metabolomics shows the importance of the human gut microbiome in whole-body health and diseases. The microbe-related methods resulting into a huge volume of datasets require machine learning techniques to process them. All these factors do not aid reproducibility, clinical translation and quite often result in skewed or false associations between the microbes and some disease, due to limitations such as- scarcity of sample size, inconsistency in protocols, and distribution of labels, and so on. To deal with these issues, we developed a microbial characteristics-based framework for the prediction of diseases using the GMrepo dataset which included 70335 samples. The dataset includes demographics details of the patients such as age, BMI, country, gender, name of the targeted disease, were used as input features for the model while the predicted bacteria and their relative abundance were the outputs. A stacked ensemble multi-model regressor was created using Random Forest and XGBoost as base and Meta learners respectively. The results were evaluated using various regression metrics such as the Mean Squared Error (MSE), Mean Absolute Error (MAE), R squared (R2), and Mean Absolute Percentage Error (MAPE), Symmetric MAPE (sMAPE), obtaining satisfactory results. Akaike Information Criterion (AIC) and Bayesian Information Criterion (BIC) were applied to balance between the model fit and complexity. This approach makes it possible to completely automate the process of finding microbial features for disease prediction by overcoming the critical issues of reproducibility and scalability. Moving the microbiome research from observational association studies to efficacy studies leads to further development of clinical applicability of our research and can contribute to the revolution in precision medicine.
DOI: 10.15468/dl.m9rb95
title: Occurrence Download

description: A dataset containing 3814 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Ruellia tuberosa L."
 ]
}

 The dataset includes 3814 records from 208 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0051537-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.6hkcv4
title: Occurrence Download

description: A dataset containing 4445 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Alchemilla transiens (Buser) Buser"
 ]
}

 The dataset includes 4445 records from 150 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0051538-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.2hsvj2
title: Occurrence Download

description: A dataset containing 479 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Specimen",
 "TaxonKey is Epicopeiidae"
 ]
}

 The dataset includes 479 records from 46 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0051540-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.hctvh2
title: Occurrence Download

description: A dataset containing 9831 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is Global Marine biodiversity data from Seawatchers Marine Citizen Science Platform 1980-2020"
 ]
}

 The dataset includes 9831 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0051541-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ty83xf
title: Occurrence Download

description: A dataset containing 26 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Gadiformes, Gadiformes, Gadiformes, Gadiformes, 205001031, Gadiformes, Gadiformes, 205405202, 205919647, 205201552, 210477341, Gadiformes, 212102297, Gadiformes, Gadiformes, Gadiformes, 212391938, Gadiformes, Gadiformes, Gadiformes, 209432312, 116776128, Gadiformes, Gadiformes, 157073532, 212360911, 205907199, Gadiformes, 205844785, 208592738, Gadiformes, Gadiformes, Gadiformes, Gadiformes, Gadiformes, Gadiformes, Gadiformes, Gadiformes, Gadiformes, Gadiformes, 205891457, 204795258, 205192798, Gadiformes, 205824421, Gadiformes, 206038107, 212386810, Gadiformes, 205994723, 158167651, Gadiformes, 205805111, Gadiformes, Gadiformes, Gadiformes, Gadiformes, Gadiformes, Gadiformes, Gadiformes, Gadiformes, Gadiformes, Gadiformes, Gadiformes, Gadiformes, Gadiformes, Gadiformes, Gadiformes, Gadiformes, Gadiformes, Gadiformes, Gadiformes, Gadiformes, 209684504, Gadiformes, 210656830, Gadiformes, Gadiformes, 205893573, Gadiformes, 203911839, Gadiformes, 205317091, 211759462, 203894349, 205897228, 209404969, 210654677, Gadiformes, 212421398, 209454546, 205875437, 193369922, 209454835, Gadiformes, Gadiformes, Gadiformes, Gadiformes, 205946901, 209345964, 187337907, Gadiformes, Gadiformes, Gadiformes, 203867690, Gadiformes, Gadiformes, Gadiformes, Gadiformes, Gadiformes, Gadiformes, Gadiformes, 204766042, Gadiformes, 206025090, 205193099, Gadiformes, Gadiformes, 205993963, 210219217, Gadiformes, Gadiformes, Gadiformes, Gadiformes, Gadiformes, Gadiformes, 204774792, 205279711, 206032624, Gadiformes, Gadiformes, Gadiformes, Gadiformes, Gadiformes, Gadiformes, Gadiformes, Gadiformes, Gadiformes, Gadiformes, Gadiformes, Gadiformes, Gadiformes, 205994152, Gadiformes, 161461880, Gadiformes, 203547002, 209298324, 205434296, 205944815, Gadiformes, 205312942, 206010129, 204357431, Gadiformes, Gadiformes, Gadiformes, GADIFORMES, Gadiformes, Gadiformes, Gadiformes, Gadiformes, Gadiformes, Gadiformes, Gadiformes, Gadiformes, Gadiformes, Gadiformes, Gadiformes, Gadiformes, Gadiformes, Gadiformes, Gadiformes, Gadiformes, Gadiformes, Gadiformes, Gadiformes, Gadiformes, Gadiformes, Gadiformes, Gadiformes, Gadiformes, Gadiformes, Gadiformes, Gadiformes, Gadiformes, Gadiformes, Gadiformes, Gadiformes, Gadiformes, Gadiformes INDETERMINATE, Gadiformes Goodrich, 1909, Gadiformes Goodrich, 1909, Gadiformes Rafinesque, 1810, Gadiformes Goodrich, 1909, Gadiformes Goodrich, 1909, Zeiformes Regan, 1909, Lampriformes Goodrich, 1909, Ophidiiformes L.S.Berg, 1937)",
 "BasisOfRecord is one of (Specimen, Human Observation, Observation, Living Specimen, Machine Observation, Literature Occurrence)",
 "Geometry POLYGON((109.5 20.15,117.25 20.15,117.25 24,109.5 24,109.5 20.15))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 26 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0051542-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17632/gn2pnhc58x.1
title: Aquaculture - Fish Species Dataset

description: A dataset with 196 samples is developed by collecting real time data through pH sensor, temperature sensor and turbidity sensor in various ponds located at Warangal, Telangana State, India. After outlier treatment dataset is reduced to 182 samples.
DOI: 10.17632/fgsx37h82k.1
title: How land use change affects greenhouse gas emission in China

description: This dataset contains reference for the paper 'How land use change affects greenhouse gas emission in China.'
DOI: 10.15468/dl.aw3h3k
title: Occurrence Download

description: A dataset containing 168624 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Sargassum C.Agardh, 1820"
 ]
}

 The dataset includes 168624 records from 589 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0051531-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.8dbqon
title: Occurrence Download

description: A dataset containing 8 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is (Table 1) Proportion of Toxoplasma gondii seropositive arctic foxes (Alopex lagopus) by age group and geographic area"
 ]
}

 The dataset includes 8 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0007135-171124123535762/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.8emkss
title: Occurrence Download

description: A dataset containing 46 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Cordylomera spinicornis (Fabricius, 1775)"
 ]
}

 The dataset includes 46 records from 14 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0275170-220831081235567/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.kaia94
title: Occurrence Download

description: A dataset containing 32 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is (Table 1) Proportion of Toxoplasma gondii seropositive arctic foxes (Alopex lagopus) by age group and geographic area"
 ]
}

 The dataset includes 32 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0012457-190415153152247/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.dasrx1
title: Occurrence Download

description: A dataset containing 8 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is (Table 1) Proportion of Toxoplasma gondii seropositive arctic foxes (Alopex lagopus) by age group and geographic area"
 ]
}

 The dataset includes 8 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0004968-171124123535762/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.kes4e9
title: Occurrence Download

description: A dataset containing 8 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is (Table 1) Proportion of Toxoplasma gondii seropositive arctic foxes (Alopex lagopus) by age group and geographic area"
 ]
}

 The dataset includes 8 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0007059-171124123535762/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.