cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15156/bio/sh1166295.10fu
title: SH1166295.10FU

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/sh1166296.10fu
title: SH1166296.10FU

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/sh1166298.10fu
title: SH1166298.10FU

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/sh1166299.10fu
title: SH1166299.10FU

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/sh1166303.10fu
title: SH1166303.10FU

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/sh1166307.10fu
title: SH1166307.10FU

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/sh1166309.10fu
title: SH1166309.10FU

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/sh1166310.10fu
title: SH1166310.10FU

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/sh1166312.10fu
title: SH1166312.10FU

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/sh1166314.10fu
title: SH1166314.10FU

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: 10.7274/30434791
title: Development and Evaluation of Peptide-Targeted Liposomal Nanoparticle System for Selective Drug Delivery and Combination Therapy in Multiple Myeloma and Lung Cancer

description: Multiple myeloma (MM) and lung cancer are clinically challenging malignancies, characterized by therapeutic resistance and poor long-term outcomes in advanced stages. Although significant progress has been made through conventional chemotherapy, immunotherapy, and early-generation targeted approaches, these treatments often face limitations related to off-target toxicity, drug delivery efficiency, and the ability to overcome tumor heterogeneity. To address these challenges, this dissertation investigates the development and application of peptide-targeted liposomal nanoparticles as an advanced drug delivery platform. Through a series of in vitro and in vivo studies, novel peptide ligands were rationally designed and incorporated into nanoparticle systems to achieve selective tumor targeting, enhance cellular uptake, and optimize biodistribution. The therapeutic potential of these systems was evaluated using various anticancer modalities, including prodrug formulations, immunogenic cell death induces, the co-delivery of siRNA with chemotherapeutic agents, and combinational drug treatments, demonstrating synergistic anticancer effects in relevant preclinical models of MM and lung cancer. Collectively, the findings highlight the promise of peptide-targeted liposomal nanoparticles as a versatile and effective strategy to improve drug delivery precision and therapeutic efficacy in these malignancies. Integration of such advanced targeted therapies with personalized medicine approaches and biomarker-driven patient selection may further enhance treatment outcomes, overcome resistance mechanisms, and contribute to the evolution of next-generation cancer therapeutics.
DOI: 10.7274/30434791.v1
title: Development and Evaluation of Peptide-Targeted Liposomal Nanoparticle System for Selective Drug Delivery and Combination Therapy in Multiple Myeloma and Lung Cancer

description: Multiple myeloma (MM) and lung cancer are clinically challenging malignancies, characterized by therapeutic resistance and poor long-term outcomes in advanced stages. Although significant progress has been made through conventional chemotherapy, immunotherapy, and early-generation targeted approaches, these treatments often face limitations related to off-target toxicity, drug delivery efficiency, and the ability to overcome tumor heterogeneity. To address these challenges, this dissertation investigates the development and application of peptide-targeted liposomal nanoparticles as an advanced drug delivery platform. Through a series of in vitro and in vivo studies, novel peptide ligands were rationally designed and incorporated into nanoparticle systems to achieve selective tumor targeting, enhance cellular uptake, and optimize biodistribution. The therapeutic potential of these systems was evaluated using various anticancer modalities, including prodrug formulations, immunogenic cell death induces, the co-delivery of siRNA with chemotherapeutic agents, and combinational drug treatments, demonstrating synergistic anticancer effects in relevant preclinical models of MM and lung cancer. Collectively, the findings highlight the promise of peptide-targeted liposomal nanoparticles as a versatile and effective strategy to improve drug delivery precision and therapeutic efficacy in these malignancies. Integration of such advanced targeted therapies with personalized medicine approaches and biomarker-driven patient selection may further enhance treatment outcomes, overcome resistance mechanisms, and contribute to the evolution of next-generation cancer therapeutics.
DOI: 10.5281/zenodo.14510704
title: Random forest regression using autonomous in situ ocean observations: Inferring small-scale variability during a Southern Ocean field experiment - Data

description: <mlpred_sg*_modG.csv> Depth-resolved nitrate estimates for the SOGOS Seagliders (SG659 and SG660), derived using the SOGOS RFR with model G parameters.

<mldata_*.csv> Input data (from GO-SHIP I06 and BGC-Argo floats) used for RFR model training, validation, and testing.
DOI: 10.15468/dl.yye8k4
title: Occurrence Download

description: A dataset containing 3123964 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Bubulcus ibis (Linnaeus, 1758)"
 ]
}

 The dataset includes 3123964 records from 2274 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0044887-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25549/inscriptifact-ouc111332763
title: "Wyman Fragment" (Uncial 0220), Uncial 0220

description: [Text Description:] "Wyman Fragment" (Uncial 0220), Romans 4:23–5:3; 5:8–13 in Greek ❧ [Text or Publication Number Note:] Uncial 0220; MS.000566 ❧ [Medium:] Parchment ❧ [Script Note:] Greek ❧ [Physical Object Description:] A fragmentary vellum leaf with ink. ❧ [Physical Object Note:] 3.2 x 4.3 in. (8.1 x 11 cm)
DOI: 10.15468/dl.wcsxss
title: Occurrence Download

description: A dataset containing 2621 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Eira barbara (Linnaeus, 1758)"
 ]
}

 The dataset includes 2621 records from 174 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0103774-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.f65xgq
title: Occurrence Download

description: A dataset containing 11860 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Arabis turrita L."
 ]
}

 The dataset includes 11860 records from 141 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0103420-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.zac246
title: Occurrence Download

description: A dataset containing 28 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Boechera polyantha (Greene) Windham & Al-Shehbaz"
 ]
}

 The dataset includes 28 records from 9 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0039385-220831081235567/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25549/inscriptifact-ouc111323540
title: Cuneiform Tablet

description: [Text Description:] Cuneiform Tablet, Administrative Tag, with Seal Impressions ❧ [Medium:] Clay ❧ [Script Note:] Cuneiform, Non-Alphabetic ❧ [Physical Object Description:] Clay tablet with cuneiform script, roughly triangular In shape.
DOI: 10.15468/dl.jkb745
title: Occurrence Download

description: A dataset containing 288 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Trimezia longifolia (Link & Otto) Christenh. & Byng"
 ]
}

 The dataset includes 288 records from 74 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0046331-230530130749713/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.1uxmun
title: Occurrence Download

description: A dataset containing 6 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "TaxonKey is Croton glandulosodentatus Pax & K.Hoffm.",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 6 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0035890-200221144449610/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.st9cga
title: Occurrence Download

description: A dataset containing 2193 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Arabis pumila Jacq."
 ]
}

 The dataset includes 2193 records from 75 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0103415-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25549/inscriptifact-ouc111323604
title: Cuneiform Tablet

description: [Text Description:] Cuneiform Tablet, Administrative Tag, with Seal Impressions ❧ [Medium:] Clay ❧ [Script Note:] Cuneiform, Non-Alphabetic ❧ [Physical Object Description:] Clay tablet with cuneiform script, roughly triangular In shape.
DOI: 10.25549/inscriptifact-ouc111323609
title: Cuneiform Tablet

description: [Text Description:] Cuneiform Tablet, Administrative Tag, with Seal Impressions ❧ [Medium:] Clay ❧ [Script Note:] Cuneiform, Non-Alphabetic ❧ [Physical Object Description:] Clay tablet with cuneiform script, roughly triangular In shape.
DOI: 10.15468/dl.nnzmmt
title: Occurrence Download

description: A dataset containing 2 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Arabis costae Willk."
 ]
}

 The dataset includes 2 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0039370-220831081235567/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.pdtg6g
title: Occurrence Download

description: A dataset containing 12158 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Belgium",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Danthonia decumbens (L.) DC."
 ]
}

 The dataset includes 12158 records from 13 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0032921-231120084113126/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.6073/pasta/1124a6e209afd9e44098c7ea30593785
title: MCR LTER: Coral Reef: Ocean Currents and Biogeochemistry: salinity, temperature and current at CTD and ADCP mooring FOR01 from 2004 ongoing

description: Moored and bottom-mounted instrumentation (ADCP, CTD, thermistors, wave-tide meters) sampled year-round on the reef of Moorea Island, French Polynesia at LTER 1 fore reef site (FOR01). Sampling began in 2005. All data have been interpolated onto a 20 min grid. ADCP data are organized into 1-meter bins, measured as height from the bottom, to a maximum of 20 bins. All bins may not be filled, and although post-processing attempted to exclude data from bins 'above the surface', users need to exercise caution with the near-surface bins. CTD parameters include Pressure, Temperature, Conductivity, Salinity, and Density. The two moored CTD packages are located approximately 5 and 14 meters above the bottom and there are up to 5 additional temperature thermistors spaced vertically along the mooring line. Note that the upper CTD and temperature thermistor data were terminated in 2020, and the bottom CTD was terminated in February 2022. There are 2 bottom mounted thermistors in the vicinity of the mooring at 10 and 20 meter depth. A bottom-mounted wave-tide meter at 10-meter depth provides a measure of significant wave height and dominant wave period at a 2-hour sampling interval. Tide-related data may be calculated from bottom-mounted pressure sensor data.
 This material uses data collected by the U.S. National Science Foundation's (NSF) Moorea Coral Reef Long Term Ecological Research (MCR LTER) site under Grant No. OCE 2224354 (and earlier awards). Additional financial support to the MCR LTER site was provided through a generous gift from the Gordon and Betty Moore Foundation. Research was completed under permits issued by the French Polynesian Government (Délégation à la Recherche) and the Haut-commissariat de la République en Polynésie Francaise (DTRT) (Protocole d'Accueil 2005-2024).
DOI: 10.25549/inscriptifact-ouc111323610
title: Cuneiform Tablet

description: [Text Description:] Cuneiform Tablet, Administrative Tag, with Seal Impressions ❧ [Medium:] Clay ❧ [Script Note:] Cuneiform, Non-Alphabetic ❧ [Physical Object Description:] Clay tablet with cuneiform script, roughly triangular In shape.