cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15468/dl.ezp7gy
title: Occurrence Download

description: A dataset containing 98 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((-97.87095 16.8412,-97.87613 16.84335,-97.88202 16.84278,-97.88748 16.83416,-97.88331 16.82841,-97.87584 16.82711,-97.86808 16.83042,-97.86262 16.83444,-97.86765 16.84048,-97.87095 16.8412))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present"
 ]
}

 The dataset includes 98 records from 7 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0185510-220831081235567/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.s88gcw
title: Occurrence Download

description: A dataset containing 1053 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Hypecoum leptocarpum Hook.fil. & Thomson"
 ]
}

 The dataset includes 1053 records from 40 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0250463-230224095556074/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.nfr5t3
title: Occurrence Download

description: A dataset containing 21281676 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Continent is one of (Africa, Antarctica, Asia, Oceania, Europe, North America, South America)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Issue is one of (Geodetic datum assumed WGS84, Coordinate rounded)",
 "TaxonKey is Plantae"
 ]
}

 The dataset includes 21281676 records from 965 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0183146-220831081235567/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.3hr88y
title: Occurrence Download

description: A dataset containing 38 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Clematis leschenaultiana DC.",
 "HasCoordinate is true",
 "Country is Japan",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 38 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0201657-220831081235567/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.sr2uyn
title: Occurrence Download

description: A dataset containing 2 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Zephyranthes jujuyensis E.Holmb."
 ]
}

 The dataset includes 2 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0236802-230224095556074/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.peb3g8
title: Occurrence Download

description: A dataset containing 3105 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((-102.93819 -24.38478,-11.06181 -24.38478,-11.06181 12.38478,-102.93819 12.38478,-102.93819 -24.38478))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Partamona vicina Camargo, 1980"
 ]
}

 The dataset includes 3105 records from 10 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0279088-220831081235567/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.sngxka
title: Occurrence Download

description: A dataset containing 590 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Year is greater than or equal to 1970",
 "TaxonKey is Bactrocera philippinensis Drew & Hancock, 1994",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 590 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0183148-220831081235567/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.cprt4j
title: Occurrence Download

description: A dataset containing 1245 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((120.59034 34.40456,119.74395 34.15151,119.85738 33.22658,120.46818 32.42382,121.07025 32.24058,121.54144 32.4849,121.68105 32.79903,120.59034 34.40456))",
 "OccurrenceStatus is Present",
 "TaxonKey is one of (Limosa lapponica (Linnaeus, 1758), Limosa limosa (Linnaeus, 1758), Calidris falcinellus (Pontoppidan, 1763), Tringa nebularia (Gunnerus, 1767), Actitis hypoleucos (Linnaeus, 1758), Calidris ferruginea (Brunnich), Numenius madagascariensis (Linnaeus, 1766), Calidris tenuirostris (Horsfield, 1821), Pluvialis squatarola (Linnaeus, 1758), Charadrius leschenaultii crassirostris (Severtsov, 1873), Charadrius mongolus Pallas, 1776, Numenius minutus Gould, 1841, Charadrius veredus Gould, 1848, Calidris canutus (Linnaeus, 1758), Calidris ruficollis (Pallas, 1776), Arenaria interpres (Linnaeus, 1758), Calidris alba (Pallas, 1764), Calidris acuminata (Horsfield, 1821), Xenus cinereus (Güldenstädt, 1775), Numenius phaeopus (Linnaeus, 1758))",
 "Year 2015-2015"
 ]
}

 The dataset includes 1245 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0279082-220831081235567/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.6z5yrs
title: Occurrence Download

description: A dataset containing 17 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is China",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Schima argentea E.Pritz.",
 "Year 1842-2020"
 ]
}

 The dataset includes 17 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0183150-220831081235567/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.wwkkpz
title: Occurrence Download

description: A dataset containing 261 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is China",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Quercus rehderiana Hand.-Mazz.",
 "Year 1842-2020"
 ]
}

 The dataset includes 261 records from 12 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0183161-220831081235567/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.de9tyb
title: Occurrence Download

description: A dataset containing 282 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is Entomofauna asociada a Duranta erecta y Lantana camara en un vivero ornamental de Santa Marta, Colombia."
 ]
}

 The dataset includes 282 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0279100-220831081235567/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.mjdj77
title: Occurrence Download

description: A dataset containing 1947 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Specimen",
 "Country is Philippines",
 "OccurrenceStatus is Present",
 "TaxonKey is Tectaria Cav."
 ]
}

 The dataset includes 1947 records from 45 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0183164-220831081235567/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.vzarnd
title: Occurrence Download

description: A dataset containing 2553 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Espeletia pycnophylla Cuatrec."
 ]
}

 The dataset includes 2553 records from 46 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0279091-220831081235567/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.u3tt5j
title: Occurrence Download

description: A dataset containing 4188 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is one of (Canada, United States of America)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Quercus muehlenbergii Engelm."
 ]
}

 The dataset includes 4188 records from 91 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0183162-220831081235567/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.y8cfhg
title: Occurrence Download

description: A dataset containing 312 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Scaptotrigona xanthotricha Moure, 1950"
 ]
}

 The dataset includes 312 records from 12 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0279092-220831081235567/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.4chrjx
title: Occurrence Download

description: A dataset containing 80560 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Selaginella selaginoides (L.) Schrank & C.F.P.Mart."
 ]
}

 The dataset includes 80560 records from 434 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0183165-220831081235567/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25582/data.2024-04.3083172/2548072
title: Data for EMSL Project 51287 from April 2024
DOI: 10.25582/data.2024-04.3083174/2548073
title: Data for EMSL Project 51287 from April 2024
DOI: 10.25582/data.2024-04.3083177/2548074
title: Data for EMSL Project 51287 from April 2024
DOI: 10.5281/zenodo.15047209
title: Source data for turbidity, dynamic light scattering, and negative stain EM measurements for Miller and Reichow (2025)
DOI: 10.5281/zenodo.15047210
title: Source data for turbidity, dynamic light scattering, and negative stain EM measurements for Miller and Reichow (2025)
DOI: 10.25582/data.2024-04.3083178/2548075
title: Data for EMSL Project 51287 from April 2024
DOI: 10.25582/data.2024-04.3083179/2548076
title: Data for EMSL Project 51287 from April 2024
DOI: 10.6073/pasta/b8ba49ca26f8a8077f2ca0c49ef74f50
title: Climate data for C1 data loggers (CR23X and CR1000), 2000 - ongoing, daily.

description: Climatological data were collected from the C1 climate station on Niwot Ridge (3018 m elevation) throughout the year. From 2000-06-24 to 2013-03-25, data were recorded using a Campbell Instruments CR23X data logger. Starting 2013-03-27, data were recorded using a Campbell Instruments CR1000 data logger. Maximum and minimum values were recorded instantaneously, with a sampling interval of 5 seconds. Daily means and totals were calculated from 17,280 individual measurements. The CR23X logger was programmed to generate both hourly and daily output. The CR1000 logger generated daily, hourly, and minute data until 2014-09-10, when these time periods were discontinued and only 10 minute raw data were collected.
DOI: 10.25582/data.2024-04.3083180/2548077
title: Data for EMSL Project 51287 from April 2024
DOI: 10.6084/m9.figshare.28738787
title: Point-of-Care Detection of <i>Burkholderia pseudomallei</i>: A Method Integrating LAMP and LFSA with RNase HII Hydrolysis

description: Melioidosis, caused by <i>Burkholderia pseudomallei</i>, is a tropical disease known for its long incubation period and high mortality rate. However, the traits of this “great imitator” present significant challenges for clinical diagnosis and pose a serious threat to populations in epidemic regions. A rapid, accurate, and low environment requirement diagnostic method is needed to enable timely diagnoses. Here, we developed a strategy for point-of-care testing (POCT) using loop-mediated isothermal amplification (LAMP) with RNase HII for efficient detection of <i>B. pseudomallei</i>, through real-time fluorescence analysis or lateral flow strip assay (LFSA). Briefly, RNase HII-based cleavage dual-functional probe LAMP (RCDP-LAMP) utilizes.
DOI: 10.25582/data.2024-04.3083181/2548078
title: Data for EMSL Project 51287 from April 2024
DOI: 10.25582/data.2024-04.3083183/2548079
title: Data for EMSL Project 51287 from April 2024
DOI: 10.25582/data.2024-04.3083184/2548080
title: Data for EMSL Project 51287 from April 2024
DOI: 10.25582/data.2024-04.3083191/2548081
title: Data for EMSL Project 51287 from April 2024
DOI: 10.25582/data.2024-04.3083192/2548082
title: Data for EMSL Project 51287 from April 2024
DOI: 10.25582/data.2024-04.3083194/2548083
title: Data for EMSL Project 51287 from April 2024
DOI: 10.15468/dl.cf8q7q
title: Occurrence Download

description: A dataset containing 509919 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is National Butterfly Recording Scheme in Finland (NAFI)"
 ]
}

 The dataset includes 509919 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0007695-250402121839773/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ek3jsx
title: Occurrence Download

description: A dataset containing 141735 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is South Africa",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "StateProvince is Northern Cape",
 "TaxonKey is Plantae"
 ]
}

 The dataset includes 141735 records from 49 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0014918-250402121839773/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.15234392
title: Basin characteristics determine longitudinal distribution and source composition of nitrogen pollution in a multi-tributary mountain river basin

description: Longitudinal distribution and source identification of nitrogen pollution are important for the basin delicacy management and pollution source control. The upstream Hanjiang River Basin was divided into 95 sub-basins, then 190 riverine water samples in two seasons and end-member samples of nitrate pollution sources were collected to conduct a spatial analysis of various forms of riverine nitrogen and source composition of nitrate along the river course. The concentrations among ammonia nitrogen, nitrate nitrogen and nitrate nitrogen isotope in the mainstream gradually increased from the headwater to riverine sections of Hanzhong City and the Huangjinxia Reservoir. However, concentrations did not increase continuously from the Huangjinxia Reservoir but fluctuated until the river entered the estuary in Danjiangkou Reservoir. Results of MixSIAR in April and August indicated that cropland contributed nearly 50% of the nitrate, while the contribution rates of both wastewater and forest & grassland ranged from 20% to 30%. Results of the random forests model and structural equation modeling showed that basin characteristics indirectly affected the distribution of nitrate sources by directly influencing land use and human activity. Watershed area, perimeter and total length of river network were positively correlated with the contribution rate of wastewater, while altitude and slope were positively correlated with the contribution rate of cropland and forest & grassland because basin characteristics such as topography, slope and altitude influenced land use by affecting human activities. This study provided insight into the distribution and mechanism of nitrate source composition in mountainous rivers.
DOI: 10.5281/zenodo.15234393
title: Basin characteristics determine longitudinal distribution and source composition of nitrogen pollution in a multi-tributary mountain river basin

description: Longitudinal distribution and source identification of nitrogen pollution are important for the basin delicacy management and pollution source control. The upstream Hanjiang River Basin was divided into 95 sub-basins, then 190 riverine water samples in two seasons and end-member samples of nitrate pollution sources were collected to conduct a spatial analysis of various forms of riverine nitrogen and source composition of nitrate along the river course. The concentrations among ammonia nitrogen, nitrate nitrogen and nitrate nitrogen isotope in the mainstream gradually increased from the headwater to riverine sections of Hanzhong City and the Huangjinxia Reservoir. However, concentrations did not increase continuously from the Huangjinxia Reservoir but fluctuated until the river entered the estuary in Danjiangkou Reservoir. Results of MixSIAR in April and August indicated that cropland contributed nearly 50% of the nitrate, while the contribution rates of both wastewater and forest & grassland ranged from 20% to 30%. Results of the random forests model and structural equation modeling showed that basin characteristics indirectly affected the distribution of nitrate sources by directly influencing land use and human activity. Watershed area, perimeter and total length of river network were positively correlated with the contribution rate of wastewater, while altitude and slope were positively correlated with the contribution rate of cropland and forest & grassland because basin characteristics such as topography, slope and altitude influenced land use by affecting human activities. This study provided insight into the distribution and mechanism of nitrate source composition in mountainous rivers.
DOI: 10.6084/m9.figshare.28787594
title: DATASET AI

description: This dataset contains clinical, biological, and electrocardiographic parameters collected from adult patients diagnosed with ST-elevation myocardial infarction (STEMI), with the goal of supporting early prediction of cardiogenic shock (CS) during initial phases of care. The data were retrospectively collected from a single tertiary care center and include patients evaluated between the prehospital stage and cardiology-on-call consultation.The dataset is organized into three distinct phases of early care:<b>Prehospital phase</b> – includes variables recorded by emergency medical services (EMS) prior to hospital arrival.<b>Emergency department (ED) phase</b> – contains vital signs, initial labs, and ECG features available at ED presentation.<b>Cardiology-on-call phase</b> – reflects clinical reassessment prior to urgent coronary angiography.Key variables include Killip class, heart rate, systolic blood pressure, ECG rhythm abnormalities, creatinine, potassium, and other laboratory indicators of renal or hemodynamic dysfunction. These parameters were selected for their routine availability and clinical relevance in STEMI management.The primary aim of this dataset is to enable the development and validation of machine learning models for:Early identification of STEMI patients at high risk of developing cardiogenic shock;Clinical triage optimization and prioritization for urgent angiography;Supporting time-sensitive decision-making in resource-limited or overcrowded emergency settings.The dataset includes model-ready variables suitable for classification tasks and has been used to train and evaluate algorithms such as Extra Trees, Support Vector Machines (SVM), Random Forest, and Quadratic Discriminant Analysis (QDA). Performance metrics include accuracy, precision, recall, F1-score, and Matthews Correlation Coefficient (MCC).All data have been de-identified and processed in accordance with institutional ethical standards.
DOI: 10.6084/m9.figshare.28787594.v1
title: DATASET AI

description: This study evaluates the predictive performance of 11 machine learning (ML) classifiers on clinical data from 158 STEMI-CS patients treated between 2019 and 2022 at the Cardiology Department, University Emergency Hospital, Bucharest, Romania. The analysis is structured across five distinct critical phases in the patient's evaluation: the prehospital phase, emergency department phase, cardiology consultation phase in the emergency department, interventional cardiologist phase, and cardiac intensive care unit (CICU/ICI) phase. The predictive performance was assessed using several key performance metrics such as Accuracy, Precision, Recall, F1-score and Matthews Correlation Coefficient, along with confusion matrices.The analysis highlights that model performance varies depending on the specific characteristics of each dataset. The Extra Trees (ET) classifier achieved the highest accuracy (90.62%) in the prehospital phase, while Support Vector Machine (SVM) performed best in the emergency department setting. Random Forest (RF) consistently delivered strong results in both the cardiology (cardiology consultation and interventional cardiologist) phase and ICU phases, with accuracies of 81.25%, 87.5% and 84.37%, respectively. At the same time, Quadratic Discriminant Analysis (QDA) demonstrated the most stable and reliable performance across all five clinical phases, indicating a high capacity for generalization. Clinically relevant predictors included Killip classification at presentation, ECG rhythm, CKI, creatinine, potassium, reperfusion type, and pre-PCI TIMI score. The greatest clinical utility was found in prehospital and emergency settings, allowing patient prioritization for angiography, essential in centers with limited resources. In the cardiac intensive care unit (CICU), models effectively identified patients at increased risk of post-reperfusion complications, optimizing therapeutic decisions.
DOI: 10.5281/zenodo.17191383
title: Accession numbers and passport data of the common vetch varieties  that have been analyzed inpublication https://www.mdpi.com/2073-4395/15/6/1479

description: Accession numbers and passport data of the common vetch varieties  that have been analyzed inpublication https://www.mdpi.com/2073-4395/15/6/1479
DOI: 10.5281/zenodo.17191384
title: Accession numbers and passport data of the common vetch varieties  that have been analyzed inpublication https://www.mdpi.com/2073-4395/15/6/1479

description: Accession numbers and passport data of the common vetch varieties  that have been analyzed inpublication https://www.mdpi.com/2073-4395/15/6/1479
DOI: 10.18150/zzdnux
title: Proteomic analysis of the cerebral cortex of 8-month-old male Bphl-/- and Bphl+/+ mice

description: [ENG:]This file contains data regarding comparative proteomics of the cerebral cortex of 8-month-old male Bphl-/- (n=6) and Bphl+/+ (n=5) mice housed under standard conditions. Cortex protein isolation was performed at the Department of Biochemistry and Biotechnology, Poznań University of Life Sciences, using TAEB buffer with 0.1% SDS. Disulfide bridges were then reduced using TCEP and blocked with MMTS. Proteins were digested with trypsin. Peptides were labeled with TMTpro 16-plex and fractionated in a reversed-phase system. Proteomic analysis was performed using an Evosep One coupled to an Orbitrap Exploris 480 mass spectrometer at the Mass Spectrometry Laboratory at the Institute of Biochemistry and Biophysics of the Polish Academy of Sciences in Warsaw. Samples from Bphl-/- mice are marked with tags 1, 3, 5, 7, 11, and 13, while those from Bphl+/+ mice are marked with tags 4, 6, 8, 10, and 12.The CSV file contains data in the following columns: Protein ID, Gene names, Fasta headers, id, Student's T-test Significant BPHL_WT, Student's T-test q-value BPHL_WT, Student's T-test Difference BPHL_WT, Student's T-test Fold change BPHL_WT, Mol. weight [kDa], Q-value, MS/MS count, Razor + unique peptides TMT16plex, Unique peptides TMT16plex, Sequence coverage TMT16plex [%], TMT16plex signals.