cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.25400/lincolnuninz.29378948.v1
title: Cycling activity in New Zealand's three largest cities

description: Daily digital data on bicycle use in New Zealand's three largest cities - Auckland, Wellington and Christchurch - was collected from publicly available sources on council websites from January 2016 to March 2024. The data was collected at multiple points throughout each city.Exponential smoothing with both backward and forward filling was used to impute missing data.
DOI: 10.15468/dl.8nvfns
title: Occurrence Download

description: A dataset containing 8 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Phenacoccus solenopsis",
 "Country is India",
 "HasCoordinate is true"
 ]
}

 The dataset includes 8 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0025885-250711103210423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.gvkqqe
title: Occurrence Download

description: A dataset containing 287317 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 "BasisOfRecord is one of (Human Observation, Machine Observation, Occurrence evidence, Observation)",
 "TaxonKey is one of (Nucifraga columbiana)",
 "Country is one of (Bermuda, Canada, Greenland, Saint Pierre and Miquelon, United States of America)"
 ]
}

 The dataset includes 287317 records from 17 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0025846-250711103210423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.d2jmxq
title: Occurrence Download

description: A dataset containing 68 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Lotus subpinnatus, Lotus subpinnatus)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 68 records from 19 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0025886-250711103210423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.wus8nn
title: Occurrence Download

description: A dataset containing 1300 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Sphagnum cuspidatum",
 "Geometry POLYGON((-8.00174339329464 54.1998526673513, 0.202120938926891 54.1998526673513, 0.202120938926891 61.2628565887411, -8.00174339329464 61.2628565887411, -8.00174339329464 54.1998526673513))",
 "CoordinateUncertaintyInMeters is 0,101",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 1300 records from 28 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0025887-250711103210423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25345/c5ks6jh67
title: MassIVE MSV000098542 - Tom70 and Tom70 with Orf9b Dynamics
title: HDX-MS data of cytosolic domain of Tom70 and in complex with Orf9b.
DOI: 10.15468/dl.waewnf
title: Occurrence Download

description: A dataset containing 2423 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Lonicera japonica",
 "Country is Switzerland",
 "HasCoordinate is true"
 ]
}

 The dataset includes 2423 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0025890-250711103210423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.cruwgv
title: Occurrence Download

description: A dataset containing 2867 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Lates niloticus)",
 "BasisOfRecord is one of (Specimen, Human Observation, Observation, Machine Observation)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 2867 records from 47 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0025888-250711103210423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25345/c5g15tq3w
title: MassIVE MSV000098543 - Benchmarking Modern Data Acquisition and Analysis Strategies in Bottom-Up Proteomics
title: Narrow-window data-independent acquisition (nDIA) is emerging as a powerful technique for bottom-up proteomics. Here, we systematically benchmarked nDIA against wide-window DIA (wDIA), as well as narrow- and wide-window data-dependent acquisition approaches (nDDA and wDDA) for rapid, single-shot proteomic analysis. For data processing, we introduced Tesorai Search, a novel search engine leveraging a large pre-trained model, and compared it with DIA-NN and FragPipe across both DIA and DDA datasets. Among 12 acquisition-analysis pipelines evaluated, nDIA combined with DIA-NN delivered the highest proteome coverage, identifying 105,273 peptides and 11,603 protein groups. Tesorai Search outperforms FragPipe in DIA analysis. FragPipe DDA+ mode significantly improved DDA protein identification. Entrapment analyses suggest superior robustness of Tesorai Search in false discovery rate (FDR) control compared to DIA-NN and FragPipe. As a proof of concept, we applied nDIA-MS to 17 cancer cell lines harboring DNA damage response (DDR) gene knockouts, successfully detecting significant downregulation of all targeted proteins and uncovering 44 DDR-related proteins modulated in at least one cell line. These results underscore nDIA-MS, together with DIA-NN and Tesorai Search, as a robust and scalable platform for high-throughput functional proteomic screening.
DOI: 10.15468/dl.7ve7zu
title: Occurrence Download

description: A dataset containing 53002 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is one of (Human Observation, Specimen)",
 "Geometry POLYGON((-74.18 43.34,-54.59 43.34,-54.59 48.25,-74.18 48.25,-74.18 43.34))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "License is one of (CC0 1.0, CC-BY 4.0, CC-BY-NC 4.0)",
 "OccurrenceStatus is Present",
 "TaxonKey is Ochrophyta"
 ]
}

 The dataset includes 53002 records from 94 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0025794-250711103210423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.uqytnf
title: Occurrence Download

description: A dataset containing 86 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Pangio anguillaris"
 ]
}

 The dataset includes 86 records from 22 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0025891-250711103210423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.34847/nkl.db3crc50
title: Pandemic Agreement INBdatabase

description: The INBdatabase traces the Pandemic agreement negotiation process across five official sessions held in Geneva between February 2023 and March 2024. Focusing on text-as-data, it covers the outcomes of plenary sessions, working group meetings and informal-informals. The database is based upon negotiation text that is “work in progress” and contain member states’ positions regarding different topics and issues. The database does not cover the first three (INB1 – INB3, mainly paced by formalities, consultations and public hearings) and the last four INB sessions (INB9 resumed – INB13, that were fully closed meeting. It does not cover specific spaces such as bilateral consultations, internal meetings of the Bureau, or consultations with the Presidency. The INBdatabase reflects how the states engage with the successive negotiation drafts tracing all the types of actions taken. It consists of more than 13,000 observations and allows the use of this primary data for related research.
DOI: 10.15468/dl.bpvvpw
title: Occurrence Download

description: A dataset containing 4532 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Tithonia rotundifolia"
 ]
}

 The dataset includes 4532 records from 232 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0025889-250711103210423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.nsumjr
title: Occurrence Download

description: A dataset containing 41696 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Lonicera japonica",
 "Country is United States of America",
 "HasCoordinate is true"
 ]
}

 The dataset includes 41696 records from 164 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0025892-250711103210423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.xm83v6
title: Occurrence Download

description: A dataset containing 92 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Lonicera japonica",
 "Country is Uruguay",
 "HasCoordinate is true"
 ]
}

 The dataset includes 92 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0025893-250711103210423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.pr5v22
title: Occurrence Download

description: A dataset containing 36657 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Lotus tenuis, Lotus tenuis)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 36657 records from 824 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0025894-250711103210423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.71732/vapc9r/bnajs6
title: SN225.sav

description: Data
DOI: 10.71732/vapc9r/i925pm
title: SN225_CB_eng.pdf

description: Codebook (en)
DOI: 10.71732/vapc9r/6gd1zq
title: SN225_NM_eng.pdf

description: Methodological notes (en)
DOI: 10.71732/vapc9r/rhy4oh
title: SN225.dta

description: Data
DOI: 10.71732/vapc9r/csmkak
title: SN225_Q_ita.pdf

description: Questionnaire (it)
DOI: 10.71732/vapc9r/gpw8ty
title: SN225_CB_ita.pdf

description: Codebook (it)
DOI: 10.71732/vapc9r/smqbno
title: SN225_NM_ita.pdf

description: Methodological notes (it)
DOI: 10.71732/vapc9r
title: Validazione e valutazione psicometrica della versione italiana della scala di paura da COVID-19 (2020)

description: This study published by DASSI was previously archived at UniData - Bicocca Data Archive. The advent of COVID-19 worldwide has led to consequences for people's health, both physical and psychological, such as fear and anxiety. This is the case in Italy, one of the countries most affected by the pandemic. Given the heightened fear concerning COVID-19 in Italy., the study proposed and validated the Italian version of the Fear of COVID-19 Scale (FCV-19S; see Ahorsu, D.K., Lin, CY., Imani, V. et al. 2020) and analyzed its psychometric properties. The sample comprised around 250 Italian participants who were administered Italian versions of the FCV-19S, the Hospital Anxiety and Depression Scale (HADS), and the Severity Measure for Specific Phobia-Adult (SMSP-A). The dataset contains, in addition to socio-demographic information, the values collected in the sample on the seven items of the FCV-19S, translated into Italian.
DOI: 10.15156/bio/sh1389073.10fu
title: SH1389073.10FU

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/sh1389074.10fu
title: SH1389074.10FU

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/sh1389075.10fu
title: SH1389075.10FU

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/sh1389077.10fu
title: SH1389077.10FU

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/sh1389078.10fu
title: SH1389078.10FU

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: 10.15468/dl.aau3fr
title: Occurrence Download

description: A dataset listing the 42373 species recorded in GBIF matching the query:
{
 "and" : [
 "Country is Canada",
 "BasisOfRecord is one of (Human Observation)"
 ]
}

 The dataset's 42373 records were derived from 527 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0005929-260108223611665/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17026/dans-xxs-7kac
title: Breda Langelaar 31 (T)
title: Erfgoedrapport Breda 109

description: &lt;p&gt;In opdracht van de gemeente Breda Afdeling Vastgoed Ontwikkeling heeft de Afdeling Ruimte van de gemeente Breda een inventariserend veldonderzoek door middel van proefsleuven uitgevoerd op 5 en 6 februari 2013 aan de Langelaar 31 te Teteringen. Aanleiding voor het onderzoek is nieuwbouw van woningen waarbij bodemverstorende werkzaamheden plaats zullen vinden. Het inventariserend veldonderzoek door middel van proefsleuven op het terrein aan de Langelaar te Teteringen heeft sporen en vondsten uit de late middeleeuwen en nieuwe tijd opgeleverd (1250 - heden). Er zijn perceleringsgreppels aangetroffen, waarvan er een aantal dateert in de vijftiende eeuw. In het oostelijke deel van het plangebied zijn karrensporen, kuilen en paalsporen aangetroffen, die vermoedelijk in verband staan met de bewoning zichtbaar op het kadastrale minuut van 1824 ten oosten van het plangebied. Er zijn geen structuren herkend, vanwege de beperkte oppervlakte van de proefsleuven.&lt;/p&gt;
description: &lt;p&gt;Inventariserend veldonderzoek door middel van proefsleuven&lt;/p&gt;
description: Issued: 2013
description: Toevoeging van geconverteerde GIS-data uit het originele ArcheoLink APR-bestand.
DOI: 10.15156/bio/sh1389081.10fu
title: SH1389081.10FU

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/sh1389083.10fu
title: SH1389083.10FU

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/sh1389084.10fu
title: SH1389084.10FU

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: 10.3535/jag-p27-tqk
title: Euphorbia paniculata subsp. welwitschii (Boiss. & Reut.) Vicens, Molero & C.Blanché

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/1s3-sx9-bh4
title: Bacidia

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/7k9-x2h-xrc
title: Alyssoides utriculata (L.) Medik.

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/azb-ewd-l34
title: Juncus stygius subsp. americanus (Buchenau) Hultén

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/qdv-yvp-zv4
title: Potamogeton lucens L.

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/q1w-hvg-37x
title: Saussurea ussuriensis Maxim.

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/t15-b1g-4vc
title: Potamogeton alpinus Balb.

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/csv-0cy-qg1
title: Elymus repens (L.) Gould

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/4tz-x6s-nez
title: Pilosella glomerata (Froel.) Fr.

description: Digital Specimen for the physical specimen hosted at University of Graz.