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

description: A dataset containing 11 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Acanthocephalus clavula",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 11 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0012761-260208012135463/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.mwjfmh
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Papuahoya bykulleana",
 "HasCoordinate is true",
 "BasisOfRecord is one of (Specimen)"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0012763-260208012135463/datasets/export for details.
DOI: 10.15468/dl.kje7nq
title: Occurrence Download

description: A dataset containing 27 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Rineloricaria daraha",
 "DecimalLatitude is not null",
 "DecimalLongitude is not null"
 ]
}

 The dataset includes 27 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0012762-260208012135463/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.3886/e245203
title: College of Nursing Sciences, Amachara, 2026/2027 Admission Form/Application Form Is Out Call the Registrar (08058556110) 08058556110 (08058556110)

description: College of Nursing Sciences, Amachara, 2026/2027 Admission Form/Application Form Is Out Call the Registrar (08058556110) 08058556110 (08058556110) For More Details On How To Apply And Register Online. The Management Of The School Hereby Inform The general Public On The Sales Of The General Nursing Admission Form Into The School Of Nursing, And Also The Sales Of Two (2) Years Post Basic Nursing Program. Contact The Educational Board Admin On (08058556110) For More Details On How To Purchase The Form And Register Online. REQUIREMENT FOR THE THREE YEARS GENERAL NURSING PROGRAMMES1. GENERAL NURSING PROGRAMME Admission Requirements Candidates For Admission Into The General Nursing Program Of The Nursing And Midwifery Council Of Nigeria Must Posses The Senior Secondary School Certificate Or It’s Equivalent With Five Credits To Include English Language And Either Physics, Chemistry, Biology/Health Science At Not More Than Two sittings. Duration Of Training: Three Calendar Years. Registered Nurse (RN) Also POST BASIC NURSING MIDWIFERY PROGRAMME Admission Requirements: The Candidate Must Be a Registered Nurse, Five (O,Level) Credits Not More Two Sittings And Must Also Meet All institutional Requirements. Duration of Training: Two Calendar Year.{08058556110}
DOI: 10.15468/dl.kxc6ef
title: Occurrence Download

description: A dataset containing 5421 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Ficus pertusa",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is Fossil"
 ]
 }
 }
 ]
}

 The dataset includes 5421 records from 227 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0012764-260208012135463/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.20383/103.01455
title: Phytoplankton variables and atmospheric drivers for machine learning modeling of phytoplankton blooms in the Salish Sea

description: The dataset consists of five files. Four of them correspond to the four phytoplankton variables of interest (i.e., diatom biomass, nanoflagellate biomass, diatom production rate, nanoflagellate production rate). For each one of them, the respective atmospheric drivers and spatiotemporal features that were used as inputs are included. Each of these four files contains data from different periods to match the spring bloom of each phytoplankton variable. The fifth file provides the seasonal variabilities of all four phytoplankton variables, calculated every 1st and 15th of each month. The different period of interest for each phytoplankton variable was selected based on the fifth file. The phytoplankton variables were produced by SalishSeaCast V202111, whilst the atmospheric drivers were produced by HRDPS. The phytoplankton variables were integrated from 0-100m depth, and the same flagging was applied to the atmospheric drivers. These files were used in order to train and test the machine learning algorithms used in the respective study. The respective GitHub repository can be found here: https://doi.org/10.5281/zenodo.17180298.
DOI: 10.20383/103.01348
title: Colour Lake water column and sediment characteristics

description: Datasets includes CTD casts of Colour Lake in 2019 and 2022, microprofiling of pH and dissolved oxygen across the sediment-water interface of a sediment core, and grain size distribution data of different sediments core units.
DOI: 10.3886/e245202v1
title: College of Nursing Sciences, Umuahia, 2026/2027 Admission Form/Application Form Is Out Call the Registrar (08058556110) 08058556110 (08058556110)

description: College of Nursing Sciences, Umuahia, 2026/2027 Admission Form/Application Form Is Out Call the Registrar (08058556110) 08058556110 (08058556110) For More Details On How To Apply And Register Online. The Management Of The School Hereby Inform The general Public On The Sales Of The General Nursing Admission Form Into The School Of Nursing, And Also The Sales Of Two (2) Years Post Basic Nursing Program. Contact The Educational Board Admin On (08058556110) For More Details On How To Purchase The Form And Register Online. REQUIREMENT FOR THE THREE YEARS GENERAL NURSING PROGRAMMES1. GENERAL NURSING PROGRAMME Admission Requirements Candidates For Admission Into The General Nursing Program Of The Nursing And Midwifery Council Of Nigeria Must Posses The Senior Secondary School Certificate Or It’s Equivalent With Five Credits To Include English Language And Either Physics, Chemistry, Biology/Health Science At Not More Than Two sittings. Duration Of Training: Three Calendar Years. Registered Nurse (RN) Also POST BASIC NURSING MIDWIFERY PROGRAMME Admission Requirements: The Candidate Must Be a Registered Nurse, Five (O,Level) Credits Not More Two Sittings And Must Also Meet All institutional Requirements. Duration of Training: Two Calendar Year.{08058556110}
DOI: 10.15468/dl.5x6as4
title: Occurrence Download

description: A dataset containing 115592 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 Digitaria sanguinalis"
 ]
}

 The dataset includes 115592 records from 1182 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0012703-260208012135463/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.4s3fuj
title: Occurrence Download

description: A dataset containing 103 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Odonestis pruni (Linnaeus, 1758)",
 "HasCoordinate is true",
 "Country is Japan",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 103 records from 13 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0189260-220831081235567/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.dgd6cf
title: Occurrence Download

description: A dataset containing 59828 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((0.0537 40.60233,3.66744 40.60233,3.66744 43.51043,0.0537 43.51043,0.0537 40.60233))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Fagus sylvatica L."
 ]
}

 The dataset includes 59828 records from 89 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0221287-220831081235567/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.bxvq94
title: Occurrence Download

description: A dataset containing 20 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Drosophila melanogaster Meigen, 1830",
 "HasCoordinate is true",
 "Country is Japan",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 20 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0185289-220831081235567/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.5stjjr
title: Occurrence Download

description: A dataset containing 144 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Bryophilina mollicula (Graeser, 1889)",
 "HasCoordinate is true",
 "Country is Japan",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 144 records from 11 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0189262-220831081235567/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.g7vfjv
title: Occurrence Download

description: A dataset containing 63267 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Valvatidae"
 ]
}

 The dataset includes 63267 records from 304 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0250749-220831081235567/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.braf5b
title: Occurrence Download

description: A dataset containing 10397351 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Ascomycota"
 ]
}

 The dataset includes 10397351 records from 2023 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0168113-220831081235567/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17632/d8wjhzpm8t
title: Research Data

description: This is the data for my paper
DOI: 10.17632/d8wjhzpm8t.1
title: Research Data

description: This is the data for my paper
DOI: 10.15468/dl.q572g3
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Batrachochytrium dendrobatidis",
 "Country is Dominica",
 "HasCoordinate is true"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0040063-250717081556266/datasets/export for details.
DOI: 10.15468/dl.spdw69
title: Occurrence Download

description: A dataset containing 8 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Salvinia minima",
 "Country is South Africa",
 "HasCoordinate is true"
 ]
}

 The dataset includes 8 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0040064-250717081556266/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17632/5gghjpwf8m.1
title: The Ensembles forecast data of the Stevens Flood Advisory System

description: The Stevens Flood Advisory System (http://Stevens.edu/SFAS) is an ensemble total water level forecast system run by the Stevens Institute of Technology since 2016. The Stevens model datasets used in the paper "Chen, et al (2025) Advantages and Challenges of Mid-latitude Super-Ensemble Coastal Water Level Forecasting".
DOI: 10.17632/9p7fn9xcmd
title: CH4-He-H2-rich fluids associated with the intrusive rocks of the Mid-Continent Rift system in Minnesota (USA)

description: These data have been used to conduct the research presented in Combaudon et al., 2025 and published in G-cubed.
DOI: 10.17632/9p7fn9xcmd.2
title: CH4-He-H2-rich fluids associated with the intrusive rocks of the Mid-Continent Rift system in Minnesota (USA)

description: These data have been used to conduct the research presented in Combaudon et al., 2025 and published in G-cubed.
DOI: 10.15468/dl.m28bt3
title: Occurrence Download

description: A dataset containing 9427 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Salvinia minima",
 "Country is United States of America",
 "HasCoordinate is true"
 ]
}

 The dataset includes 9427 records from 51 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0040065-250717081556266/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.edbyxc
title: Occurrence Download

description: A dataset containing 77 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Material sample)"
 ]
 }
 },
 "TaxonKey is Ficus palmata",
 "Continent is one of (Africa)",
 "Year is greater than or equal to 1900"
 ]
}

 The dataset includes 77 records from 10 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0040066-250717081556266/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.hug89z
title: Occurrence Download

description: A dataset containing 10 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Tagetes erecta",
 "Country is Bhutan",
 "HasCoordinate is true"
 ]
}

 The dataset includes 10 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0040067-250717081556266/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.tkpxm6
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Batrachochytrium dendrobatidis",
 "Country is Ecuador",
 "HasCoordinate is true"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0040068-250717081556266/datasets/export for details.
DOI: 10.17632/dgmtr9psj2
title: R code for SEM of eco-anxiety, subjective well-being, and pro-environmental behavior in Ukraine

description: R code for models:

PA → NA → Affective Symptoms → Rumination → Pro-environmental Behavior (with and without direct path PA → Pro-environmental Behavior)

SWL → Affective Symptoms → Rumination → Pro-environmental Behavior (with and without direct path SWL → Pro-environmental Behavior)

SWB → Affective Symptoms → Rumination → Pro-environmental Behavior (with and without direct path SWB → Pro-environmental Behavior)
DOI: 10.17632/dgmtr9psj2.1
title: R code for SEM of eco-anxiety, subjective well-being, and pro-environmental behavior in Ukraine

description: R code for models:

PA → NA → Affective Symptoms → Rumination → Pro-environmental Behavior (with and without direct path PA → Pro-environmental Behavior)

SWL → Affective Symptoms → Rumination → Pro-environmental Behavior (with and without direct path SWL → Pro-environmental Behavior)

SWB → Affective Symptoms → Rumination → Pro-environmental Behavior (with and without direct path SWB → Pro-environmental Behavior)
DOI: 10.17632/h4byb28gcv
title: Antibiotic Resistance Tracking Dataset

description: The Antibiotic Resistance Tracking Dataset is a comprehensive and structured collection of microbiological and clinical data aimed at monitoring the emergence and spread of antimicrobial resistance (AMR). It compiles laboratory-confirmed bacterial isolates from diverse sample sources—such as blood, urine, sputum, and wound swabs—alongside patient demographics and treatment details. Each entry records the pathogen identified, the antibiotics tested, and the corresponding susceptibility outcomes (sensitive, intermediate, or resistant), using standardized testing methods like MIC and disk diffusion. Additionally, the dataset incorporates temporal and geographical metadata, allowing researchers to analyze resistance trends over time and across regions. Special attention is given to multidrug-resistant organisms (MDROs), including MRSA, CRE, and ESBL-producing bacteria. The dataset also captures contextual variables such as hospital ward, infection type, and prior antibiotic exposure, offering insights into drivers of resistance. By linking clinical outcomes with resistance patterns, the dataset supports predictive modeling and risk assessment. It serves as a vital tool for health authorities, researchers, and policymakers working to curb the global AMR threat through evidence-based interventions and antimicrobial stewardship.

Clinical and Hematological Parameters Included:
Patient_ID: Unique identifier assigned to each patient.
Age: Patient’s age in years.
Gender: Sex of the patient (Male/Female).
Specimen_Type: Type of biological sample tested (e.g., blood, urine, sputum).
Amoxicillin: Resistance result of the bacterial isolate to Amoxicillin (Sensitive/Resistant).
Ciprofloxacin: Resistance result to Ciprofloxacin.
Meropenem: Resistance status to Meropenem, a carbapenem antibiotic.
Vancomycin: Susceptibility result for Vancomycin.
Colistin: Resistance profile to Colistin, often used as a last-resort antibiotic.
Test_Method: Laboratory method used for antibiotic susceptibility testing (e.g., disk diffusion, MIC).
Resistance_Genes: Presence of specific antibiotic resistance genes identified (e.g., blaNDM, mecA).
Outcome: Clinical outcome of the patient (e.g., Recovered, Died, Under Treatment).

Structure of the Dataset:
Format: CSV
Rows: 2,200 (individual patient records)
Columns: 13 (clinical and hematological parameters, including diagnostic result)
DOI: 10.17632/h4byb28gcv.2
title: Antibiotic Resistance Tracking Dataset

description: The Antibiotic Resistance Tracking Dataset is a comprehensive and structured collection of microbiological and clinical data aimed at monitoring the emergence and spread of antimicrobial resistance (AMR). It compiles laboratory-confirmed bacterial isolates from diverse sample sources—such as blood, urine, sputum, and wound swabs—alongside patient demographics and treatment details. Each entry records the pathogen identified, the antibiotics tested, and the corresponding susceptibility outcomes (sensitive, intermediate, or resistant), using standardized testing methods like MIC and disk diffusion. Additionally, the dataset incorporates temporal and geographical metadata, allowing researchers to analyze resistance trends over time and across regions. Special attention is given to multidrug-resistant organisms (MDROs), including MRSA, CRE, and ESBL-producing bacteria. The dataset also captures contextual variables such as hospital ward, infection type, and prior antibiotic exposure, offering insights into drivers of resistance. By linking clinical outcomes with resistance patterns, the dataset supports predictive modeling and risk assessment. It serves as a vital tool for health authorities, researchers, and policymakers working to curb the global AMR threat through evidence-based interventions and antimicrobial stewardship.

Clinical and Hematological Parameters Included:
Patient_ID: Unique identifier assigned to each patient.
Age: Patient’s age in years.
Gender: Sex of the patient (Male/Female).
Specimen_Type: Type of biological sample tested (e.g., blood, urine, sputum).
Amoxicillin: Resistance result of the bacterial isolate to Amoxicillin (Sensitive/Resistant).
Ciprofloxacin: Resistance result to Ciprofloxacin.
Meropenem: Resistance status to Meropenem, a carbapenem antibiotic.
Vancomycin: Susceptibility result for Vancomycin.
Colistin: Resistance profile to Colistin, often used as a last-resort antibiotic.
Test_Method: Laboratory method used for antibiotic susceptibility testing (e.g., disk diffusion, MIC).
Resistance_Genes: Presence of specific antibiotic resistance genes identified (e.g., blaNDM, mecA).
Outcome: Clinical outcome of the patient (e.g., Recovered, Died, Under Treatment).

Structure of the Dataset:
Format: CSV
Rows: 2,200 (individual patient records)
Columns: 13 (clinical and hematological parameters, including diagnostic result)
DOI: 10.15468/dl.zmk9zd
title: Occurrence Download

description: A dataset containing 943656303 species occurrences available in GBIF matching the query:
(Query is too complex. Can be viewed on the landing page)

 The dataset includes 943656303 records from 23125 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0039956-250717081556266/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.bzpjy5
title: Occurrence Download

description: A dataset containing 39 species occurrences available in GBIF matching the query:
{
 "and" : [
 "OccurrenceStatus is Present",
 "TaxonKey is Parodia tenuicylindrica"
 ]
}

 The dataset includes 39 records from 10 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002979-260108223611665/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.60712/si-id330278.1
title: StrainInfo SI-ID 330278.1

description: StrainInfo dataset 330278 about a strain of Neurospora crassa. StrainInfo is a service developed to provide a resolution of microbial strain identifiers by storing culture collection numbers, their relations, and culture-associated data. StrainInfo is part of NFDI4Microbiota consortium.
DOI: 10.60712/si-id330279.1
title: StrainInfo SI-ID 330279.1

description: StrainInfo dataset 330279 about a strain of Neurospora crassa. StrainInfo is a service developed to provide a resolution of microbial strain identifiers by storing culture collection numbers, their relations, and culture-associated data. StrainInfo is part of NFDI4Microbiota consortium.
DOI: 10.60712/si-id330350.1
title: StrainInfo SI-ID 330350.1

description: StrainInfo dataset 330350 about a strain of Neurospora tetrasperma. StrainInfo is a service developed to provide a resolution of microbial strain identifiers by storing culture collection numbers, their relations, and culture-associated data. StrainInfo is part of NFDI4Microbiota consortium.
DOI: 10.60712/si-id330351.1
title: StrainInfo SI-ID 330351.1

description: StrainInfo dataset 330351 about a strain of Neurospora tetrasperma. StrainInfo is a service developed to provide a resolution of microbial strain identifiers by storing culture collection numbers, their relations, and culture-associated data. StrainInfo is part of NFDI4Microbiota consortium.
DOI: 10.15468/dl.ywvikx
title: Occurrence Download

description: A dataset containing 179416 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Sonchus asper (L.) Hill",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 179416 records from 385 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0050099-160910150852091/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.