cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.29301816.v1
title: Impact of positive control binding properties on anti-drug antibody assay performance

description: Monitoring anti-drug antibodies (ADAs) is a critical component of recombinant protein drug development. Positive controls in ADA assays are essential for evaluating assay quality, yet the influence of their binding properties on assay performance is not well understood. We evaluated a panel of surrogate positive controls with varying binding characteristics to investigate how their affinity and kinetic parameters impact ADA assay performance. Binding properties were measured using Bio-Layer Interferometry (BLI), and assays were evaluated for relative sensitivity and drug tolerance. This was a laboratory-based study; no human or animal subjects were involved. We observed a correlation between higher affinity (lower K<sub>D</sub> (equilibrium dissociation constant)) and lower k<sub>off</sub> (off-rate constant) with increased relative assay sensitivity. However, no consistent relationship was found between these binding parameters and drug tolerance. These findings suggest that binding kinetics of the positive control can significantly influence sensitivity but may not predict drug tolerance. Understanding the relationship between positive control binding properties and ADA assay performance can support the selection of reagents that optimize sensitivity. Limitations include the use of surrogate positive controls, which may not fully replicate the complexity of clinical ADA responses. When developing protein-based drugs, it’s important to test for anti-drug antibodies (ADAs), which can interfere with how well a drug works. These tests use positive control reagents to ensure the assay is working as expected. However, it’s not fully understood how the binding characteristics of these controls affect test results. In this study, we tested a group of lab-generated positive controls with different binding properties, including how tightly they bind to the drug and how quickly they bind and fall off. Using a technique called Bio-Layer Interferometry, we measured the strength and speed of these interactions. We then evaluated how these binding properties impacted the sensitivity of the ADA test and its ability to function in the presence of the drug (drug tolerance). We found that tighter binding and slower dissociation were linked to greater test sensitivity. However, there was no clear relationship between the binding properties and drug tolerance. This suggests that while the binding strength and kinetics of the positive controls can influence test sensitivity, they may not predict how the test performs when drug is present. These findings could help improve assay design, though it’s important to note that our use of lab-made controls may not fully replicate the complexity of actual patient antibodies.
DOI: 10.6084/m9.figshare.29290062
title: Quantitation of BCAA and BCKA in plasma and patient-centric dried blood microsamples in a clinical setting

description: This study assessed the agreement and bias of three dried blood patient-centric microsampling (PCS) devices (paper DBS, Mitra, and Tasso-M20) for the quantitation of branched chain amino acids (BCAAs) and ketoacids (BCKAs) compared to venous plasma samples. Concentrations of BCAAs and BCKAs were measured in samples from generally healthy participants with a validated assay for venous plasma adapted for use with dried blood from the PCS devices. Participants were also asked to respond to a device usability questionnaire about their experience with the devices. The correlations between BCAA/BCKA concentration values in PCS devices vs venipuncture samples were strong to excellent for all six analytes, across all three PCS devices. The surrogate analyte approach facilitated method transfer from plasma to dried blood microsampling devices. Overall, participants reported that they enjoyed using the devices compared to traditional venipuncture and would be willing to use them again, on their own at-home. These study results demonstrate the feasibility of quantitating BCAAs and BCKAs reliably with PCS devices, with high acceptability from study participants.
DOI: 10.6084/m9.figshare.29290062.v1
title: Quantitation of BCAA and BCKA in plasma and patient-centric dried blood microsamples in a clinical setting

description: This study assessed the agreement and bias of three dried blood patient-centric microsampling (PCS) devices (paper DBS, Mitra, and Tasso-M20) for the quantitation of branched chain amino acids (BCAAs) and ketoacids (BCKAs) compared to venous plasma samples. Concentrations of BCAAs and BCKAs were measured in samples from generally healthy participants with a validated assay for venous plasma adapted for use with dried blood from the PCS devices. Participants were also asked to respond to a device usability questionnaire about their experience with the devices. The correlations between BCAA/BCKA concentration values in PCS devices vs venipuncture samples were strong to excellent for all six analytes, across all three PCS devices. The surrogate analyte approach facilitated method transfer from plasma to dried blood microsampling devices. Overall, participants reported that they enjoyed using the devices compared to traditional venipuncture and would be willing to use them again, on their own at-home. These study results demonstrate the feasibility of quantitating BCAAs and BCKAs reliably with PCS devices, with high acceptability from study participants.
DOI: 10.15468/dl.8n5yfx
title: Occurrence Download

description: A dataset containing 20661 species occurrences available in GBIF matching the query:
{
 "and" : [
 "DatasetKey is iNaturalist Research-grade Observations",
 "GadmGid is USA.10.6_1",
 "Year 2024-2024"
 ]
}

 The dataset includes 20661 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000656-250225085111116/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.2978k5
title: Occurrence Download

description: A dataset containing 78 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Burkina Faso",
 "OccurrenceStatus is Present",
 "TaxonKey is Loxodonta africana (Blumenbach, 1797)"
 ]
}

 The dataset includes 78 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000659-250225085111116/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.nr95jq
title: Occurrence Download

description: A dataset containing 1400665 species occurrences available in GBIF matching the query:
{
 "and" : [
 "DatasetKey is iNaturalist Research-grade Observations",
 "TaxonKey is Polypodiopsida"
 ]
}

 The dataset includes 1400665 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000646-250225085111116/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.wt5pmx
title: Occurrence Download

description: A dataset containing 2612 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Podocarpus oleifolius D.Don"
 ]
}

 The dataset includes 2612 records from 155 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000660-250225085111116/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.fwhgb7
title: Occurrence Download

description: A dataset containing 509 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is France",
 "OccurrenceStatus is Present",
 "TaxonKey is Aedes albopictus (Skuse, 1894)",
 "Year 2023-2024"
 ]
}

 The dataset includes 509 records from 17 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000663-250225085111116/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ymdwz5
title: Occurrence Download

description: A dataset containing 4288 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is France",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Fallopia japonica (Houtt.) Ronse Decr."
 ]
}

 The dataset includes 4288 records from 121 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000664-250225085111116/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.tthd3z
title: Occurrence Download

description: A dataset containing 313019 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Portugal",
 "OccurrenceStatus is Present",
 "Year 2024-2025"
 ]
}

 The dataset includes 313019 records from 39 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000654-250225085111116/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.6a3wev
title: Occurrence Download

description: A dataset containing 31701 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Portugal",
 "Month is January",
 "OccurrenceStatus is Present",
 "Year 2024-2025"
 ]
}

 The dataset includes 31701 records from 6 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000662-250225085111116/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ssvcmf
title: Occurrence Download

description: A dataset containing 113 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Coffea pervilleana (Baill.) Drake"
 ]
}

 The dataset includes 113 records from 19 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000666-250225085111116/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.8rt5jn
title: Occurrence Download

description: A dataset containing 2363 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is France",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Cydalima perspectalis (Walker, 1859)",
 "Year 2023-2024"
 ]
}

 The dataset includes 2363 records from 30 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000667-250225085111116/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.8g5ekj
title: Occurrence Download

description: A dataset containing 274 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Spirogyra maxima (Hassall) Wittr."
 ]
}

 The dataset includes 274 records from 30 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000668-250225085111116/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.y7mvxg
title: Occurrence Download

description: A dataset containing 35 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Guatteria trichoclonia Diels"
 ]
}

 The dataset includes 35 records from 14 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000670-250225085111116/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.yufgeb
title: Occurrence Download

description: A dataset listing the 944 species recorded in GBIF matching the query:
{
 "and" : [
 "DatasetKey is one of (iNaturalist Research-grade Observations, Observation.org, Nature data from around the World, Spatially explicit database of tree related microhabitats (TreMs), Database for alien invasive plants occurrences in Germany, Herbarium Berolinense, Berlin (B), Collections and observation data National Museum of Natural History Luxembourg)",
 "GadmGid is DEU.10.3_1",
 "TaxonKey is Tracheophyta",
 "Year 2015-2025"
 ]
}

 The dataset's 944 records were derived from 6 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000665-250225085111116/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.bak3kw
title: Occurrence Download

description: A dataset containing 551860 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is one of (United Kingdom of Great Britain and Northern Ireland, Ireland)",
 "OccurrenceStatus is Present",
 "TaxonKey is Ardea cinerea Linnaeus, 1758"
 ]
}

 The dataset includes 551860 records from 201 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000655-250225085111116/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.najwde
title: Occurrence Download

description: A dataset containing 1337659 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is one of (United Kingdom of Great Britain and Northern Ireland, Ireland)",
 "OccurrenceStatus is Present",
 "TaxonKey is Erithacus rubecula (Linnaeus, 1758)"
 ]
}

 The dataset includes 1337659 records from 220 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000658-250225085111116/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.bfg6kd
title: Occurrence Download

description: A dataset containing 121520 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Colombia",
 "TaxonKey is Melanerpes rubricapillus (Cabanis, 1862)"
 ]
}

 The dataset includes 121520 records from 326 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000661-250225085111116/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.drs89n
title: Occurrence Download

description: A dataset containing 1529 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Youngia japonica subsp. elstonii (Hochr.) Babc. & Stebbins"
 ]
}

 The dataset includes 1529 records from 74 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000673-250225085111116/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.u64s4y
title: Occurrence Download

description: A dataset containing 5844 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Human Observation",
 "Country is Colombia",
 "TaxonKey is Chondrohierax uncinatus (Temminck, 1822)"
 ]
}

 The dataset includes 5844 records from 46 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000674-250225085111116/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.69e2gx
title: Occurrence Download

description: A dataset containing 137157 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is one of (United Kingdom of Great Britain and Northern Ireland, Ireland)",
 "OccurrenceStatus is Present",
 "TaxonKey is Vulpes vulpes (Linnaeus, 1758)"
 ]
}

 The dataset includes 137157 records from 152 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000657-250225085111116/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.wz2n75
title: Occurrence Download

description: A dataset containing 21939 species occurrences available in GBIF matching the query:
{
 "and" : [
 "DatasetKey is African Mammalia",
 "TaxonKey is Mastomys Thomas, 1915"
 ]
}

 The dataset includes 21939 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000679-250225085111116/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.3ay4u7
title: Occurrence Download

description: A dataset containing 14204 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Panthera leo (Linnaeus, 1758)"
 ]
}

 The dataset includes 14204 records from 174 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000680-250225085111116/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15156/bio/sh1047367.10fu
title: SH1047367.10FU

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/sh1047368.10fu
title: SH1047368.10FU

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/sh1047369.10fu
title: SH1047369.10FU

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/sh1047372.10fu
title: SH1047372.10FU

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/sh1047373.10fu
title: SH1047373.10FU

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/sh1047375.10fu
title: SH1047375.10FU

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.