cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.14853848
title: Rapid, Precise, and Clinically Relevant Quantification of Urinary Albumin and Creatinine Using a NanoDrop UV-Vis Spectrophotometer

description: Albuminuria is a sensitive biomarker of kidney dysfunction, and the Albumin/Creatinine Ratio (ACR) is an essential measure for monitoring diabetic kidney disease (DKD). Abnormal levels can indicate a propensity for progressive renal failure and other complications such as cardiovascular diseases. This study employed UV/Visible spectroscopy to analyse aqueous urine samples spiked with bovine serum albumin (BSA) and creatinine at clinically relevant concentrations (0-30 mg/L for albumin and 600-1800 mg/L for creatinine).

UV/Visible spectra of co-spiked samples recorded in triplicate revealed distinct bands at 229 nm and 249 nm, corresponding to BSA and creatinine, respectively, alongside other amino acid bands. Partial Least Squares Regression (PLS-R) analysis for BSA yielded Root Mean Square Error of Calibration (RMSEC) and Cross-Validation (RMSECV) values of 66.93 and 73.92 mg/L, respectively. For creatinine, RMSEC and RMSECV values were 244.32 and 275.65 mg/L, respectively. Prediction models for both BSA and creatinine compared to ELISA demonstrated robust performance with R²PRED values of 0.96 and 0.95, respectively, indicating strong model reliability. The Limit of Detection (LOD) for co-spiked samples was 19.82 mg/L for BSA and 58.43 mg/L for creatinine. Our Univariate anlaysis of BSA bands at 230 nm and 287 nm produced a R2 of 0.984 for both and LOD values of 0.136 mg/L and 0.115 mg/L respectively. 

These results demonstrate proof of concept of applying UV/Visible spectroscopy-based method as a rapid, cost-effective point-of-care (PoC) tool for ACR measurement, offering promising applications in the early diagnosis, monitoring, and prognosis of diabetic kidney disease and associated cardiovascular complications. The next stage will involve a clinical trial to evaluate the technology's potential under real-world conditions.
DOI: 10.5281/zenodo.14853849
title: Rapid, Precise, and Clinically Relevant Quantification of Urinary Albumin and Creatinine Using a NanoDrop UV-Vis Spectrophotometer

description: Albuminuria is a sensitive biomarker of kidney dysfunction, and the Albumin/Creatinine Ratio (ACR) is an essential measure for monitoring diabetic kidney disease (DKD). Abnormal levels can indicate a propensity for progressive renal failure and other complications such as cardiovascular diseases. This study employed UV/Visible spectroscopy to analyse aqueous urine samples spiked with bovine serum albumin (BSA) and creatinine at clinically relevant concentrations (0-30 mg/L for albumin and 600-1800 mg/L for creatinine).

UV/Visible spectra of co-spiked samples recorded in triplicate revealed distinct bands at 229 nm and 249 nm, corresponding to BSA and creatinine, respectively, alongside other amino acid bands. Partial Least Squares Regression (PLS-R) analysis for BSA yielded Root Mean Square Error of Calibration (RMSEC) and Cross-Validation (RMSECV) values of 66.93 and 73.92 mg/L, respectively. For creatinine, RMSEC and RMSECV values were 244.32 and 275.65 mg/L, respectively. Prediction models for both BSA and creatinine compared to ELISA demonstrated robust performance with R²PRED values of 0.96 and 0.95, respectively, indicating strong model reliability. The Limit of Detection (LOD) for co-spiked samples was 19.82 mg/L for BSA and 58.43 mg/L for creatinine. Our Univariate anlaysis of BSA bands at 230 nm and 287 nm produced a R2 of 0.984 for both and LOD values of 0.136 mg/L and 0.115 mg/L respectively. 

These results demonstrate proof of concept of applying UV/Visible spectroscopy-based method as a rapid, cost-effective point-of-care (PoC) tool for ACR measurement, offering promising applications in the early diagnosis, monitoring, and prognosis of diabetic kidney disease and associated cardiovascular complications. The next stage will involve a clinical trial to evaluate the technology's potential under real-world conditions.
DOI: 10.15468/dl.585s3g
title: Occurrence Download

description: A dataset containing 36515 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is Taxon occurrence data for the FungalRoot database"
 ]
}

 The dataset includes 36515 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0024245-250127130748423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.wate5d
title: Occurrence Download

description: A dataset containing 1898 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is one of (Living Specimen, Human Observation, Observation, Material citation, Occurrence evidence, Specimen)",
 "Continent is South America",
 "Country is Colombia",
 "GadmGid is COL.24.4_2",
 "License is one of (CC0 1.0, CC-BY 4.0, CC-BY-NC 4.0)",
 "Month is one of (January, February, April, March, May, June, July, August, September, October, November, December)",
 "TaxonKey is Animalia",
 "Year 1000-2025"
 ]
}

 The dataset includes 1898 records from 20 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0024248-250127130748423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.cpgapj
title: Occurrence Download

description: A dataset containing 95 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "TaxonKey is one of (Ambystoma cingulatum Cope, 1868)"
 ]
}

 The dataset includes 95 records from 10 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0024249-250127130748423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.kkymnm
title: Occurrence Download

description: A dataset containing 93465 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is United States of America",
 "Geometry POLYGON((-64.75686 44.36603,-69.78202 48.99267,-81.95134 43.60751,-89.06985 32.681,-80.23303 23.70523,-64.75686 44.36603))",
 "IucnRedListCategory is EN",
 "TaxonKey is Plantae"
 ]
}

 The dataset includes 93465 records from 158 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0024119-250127130748423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.2r5vzg
title: Occurrence Download

description: A dataset containing 63035 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Potamogeton crispus L.",
 "Year 1970-2025"
 ]
}

 The dataset includes 63035 records from 993 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0024173-250127130748423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.bv58u4
title: Occurrence Download

description: A dataset containing 87 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((-101.5929 17.65211,-101.59197 17.64887,-101.57628 17.65267,-101.57594 17.64893,-101.57365 17.64852,-101.57363 17.64422,-101.57351 17.64181,-101.575 17.63778,-101.57374 17.63746,-101.57123 17.64193,-101.57142 17.64749,-101.5732 17.65042,-101.57474 17.65045,-101.57463 17.65199,-101.5721 17.65554,-101.57319 17.65726,-101.5929 17.65211))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 87 records from 7 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0024250-250127130748423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.brvr79
title: Occurrence Download

description: A dataset containing 5613 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "TaxonKey is one of (Ambystoma gracile (Baird, 1859))"
 ]
}

 The dataset includes 5613 records from 38 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0024251-250127130748423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.mfm84m
title: Occurrence Download

description: A dataset containing 4847 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "TaxonKey is one of (Ambystoma jeffersonianum (Green, 1827))"
 ]
}

 The dataset includes 4847 records from 39 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0024252-250127130748423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.6084/m9.figshare.28395629
title: Dataset-"Reservoir-assisted quantum battery charging at finite temperatures"

description: This is the dataset for article "Reservoir-assisted quantum battery charging at finite temperatures"
DOI: 10.6084/m9.figshare.28395629.v1
title: Dataset-"Reservoir-assisted quantum battery charging at finite temperatures"

description: This is the dataset for article "Reservoir-assisted quantum battery charging at finite temperatures"
DOI: 10.15468/dl.wgcgxj
title: Occurrence Download

description: A dataset containing 10731 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "TaxonKey is one of (Ambystoma laterale Hallowell, 1856)"
 ]
}

 The dataset includes 10731 records from 30 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0024253-250127130748423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.7b9f6v
title: Occurrence Download

description: A dataset containing 157 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "TaxonKey is one of (Ambystoma mabeei Bishop, 1928)"
 ]
}

 The dataset includes 157 records from 14 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0024256-250127130748423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.u9q3km
title: Occurrence Download

description: A dataset containing 2306 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Continent is Asia",
 "DatasetKey is Bengal Tiger (Panthera tigris) Sighting based on Photographs from Facebook in India",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "Year 1990-2025"
 ]
}

 The dataset includes 2306 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0024257-250127130748423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.xvw4w3
title: Occurrence Download

description: A dataset containing 182615 species occurrences available in GBIF matching the query:
{
 "and" : [
 "License is CC-BY 4.0",
 "Month is January",
 "OccurrenceStatus is Present",
 "Year 2025-2025"
 ]
}

 The dataset includes 182615 records from 41 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0024189-250127130748423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.vnrnsw
title: Occurrence Download

description: A dataset containing 7188 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "TaxonKey is one of (Ambystoma macrodactylum Baird, 1850)"
 ]
}

 The dataset includes 7188 records from 34 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0024259-250127130748423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.eht2yz
title: Occurrence Download

description: A dataset containing 267 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "TaxonKey is one of (Ambystoma macrodactylum columbianum Ferguson, 1961)"
 ]
}

 The dataset includes 267 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0024260-250127130748423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.qpvqwp
title: Occurrence Download

description: A dataset containing 83352 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Ortalis columbiana Hellmayr, 1906"
 ]
}

 The dataset includes 83352 records from 196 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0024191-250127130748423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.26179/72ds-6y67
title: Animation of tagged southern right whale and vessel traffic
DOI: 10.3886/e207802
title: Study of Trauma, Resilience, and Opportunity among Neighborhoods in the Gulf (STRONG) III

description: The Study of Trauma, Resilience, and Opportunity among Neighborhoods in the Gulf III, hereafter referred to as STRONG III, is a survey conducted among a randomly selected, representative sample of adult residents of 56 counties located in the coastal areas along the Gulf of Mexico, spanning 5 states (Texas, Louisiana, Mississippi, Alabama, and Florida). This is a re-contact study of STRONG I and STRONG II, the data for which are archived on GRIIDC, a Gulf Science Data Repository. The original STRONG I sample comprised 2,520 respondents, where as the re-contact efforts in STRONG III yielded responses from 599 participants in the Gulf region. The survey evaluates a broad range of topics including living conditions, neighborhood satisfaction and safety, social cohesion, neighborhood walkability, home environment, COVID-19 experiences and risks, COVID-19 disruptions to routine behaviors, COVID-19 service impacts, COVID-19 employment impacts, social resources, storm experiences, physical health, alcohol consumption, mental health, healthcare access, trauma, food security, political efficacy, and sociodemographics.<br>
description: Presence of Common Scales: Several Likert-type scales were used. <br>
description: Randomly-selected, representative sample of adult residents residing in 56 counties in the coastal areas along the Gulf of Mexico, 

including 16

Texas counties, 12 Louisiana
parishes, 3 Mississippi counties, 2 Alabama counties, and 23 Florida

Counties. <br><br>The original sample in wave 1 was contacted by telephone in 2019.<br>
description: Adult residents of 56 counties located in the coastal areas along the 
Gulf of Mexico, spanning 5 states (Texas, Louisiana, Mississippi, 
Alabama, and Florida).<br>.
description: mail questionnaire; telephone interview; web-based survey;
DOI: 10.3886/e207802v1-167381
title: Study of Trauma, Resilience, and Opportunity among Neighborhoods in the Gulf (STRONG) III

description: The Study of Trauma, Resilience, and Opportunity among Neighborhoods in the Gulf III, hereafter referred to as STRONG III, is a survey conducted among a randomly selected, representative sample of adult residents of 56 counties located in the coastal areas along the Gulf of Mexico, spanning 5 states (Texas, Louisiana, Mississippi, Alabama, and Florida). This is a re-contact study of STRONG I and STRONG II, the data for which are archived on GRIIDC, a Gulf Science Data Repository. The original STRONG I sample comprised 2,520 respondents, where as the re-contact efforts in STRONG III yielded responses from 599 participants in the Gulf region. The survey evaluates a broad range of topics including living conditions, neighborhood satisfaction and safety, social cohesion, neighborhood walkability, home environment, COVID-19 experiences and risks, COVID-19 disruptions to routine behaviors, COVID-19 service impacts, COVID-19 employment impacts, social resources, storm experiences, physical health, alcohol consumption, mental health, healthcare access, trauma, food security, political efficacy, and sociodemographics.<br>
description: Presence of Common Scales: Several Likert-type scales were used. <br>
description: Randomly-selected, representative sample of adult residents residing in 56 counties in the coastal areas along the Gulf of Mexico, 

including 16

Texas counties, 12 Louisiana
parishes, 3 Mississippi counties, 2 Alabama counties, and 23 Florida

Counties. <br><br>The original sample in wave 1 was contacted by telephone in 2019.<br>
description: Adult residents of 56 counties located in the coastal areas along the 
Gulf of Mexico, spanning 5 states (Texas, Louisiana, Mississippi, 
Alabama, and Florida).<br>.
description: mail questionnaire; telephone interview; web-based survey;
DOI: 10.5517/ccdc.csd.cc2fkml7
title: CCDC 2251269: Experimental Crystal Structure Determination

description: Related Article: Leonã  S. Flores|2023|CSD Communication|||
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.15468/dl.3wugc7
title: Occurrence Download

description: A dataset containing 2731062212 species occurrences available in GBIF matching the query:
{
 "BasisOfRecord" : [
 "is one of (Occurrence evidence, Human Observation)"
 ]
}

 The dataset includes 2731062212 records from 44253 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0024067-250127130748423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15156/bio/sh0193272.10fu
title: SH0193272.10FU

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/sh0193273.10fu
title: SH0193273.10FU

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/sh0193274.10fu
title: SH0193274.10FU

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/sh0193275.10fu
title: SH0193275.10FU

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/sh0193276.10fu
title: SH0193276.10FU

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.