cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.14162335
title: THE ROLE OF HOMOCYSTEINE AS A BIOMARKER OF CYTOKINE STORM IN IMMUNOONCOLOGY AND THERAPY OF COVID-19

description: Homocysteine is a sulfur-containing amino acid that can act as an important biomarker of inflammatory processes, including cytokine storm, observed in various pathological conditions such as cancer and COVID-19. In the conditions of the cytokine storm characteristic of severe forms of COVID-19 and progressive stages of cancer, elevated homocysteine levels can increase oxidative stress and inflammatory reactions, which, in turn, exacerbates tissue and organ damage. Studies show that homocysteine can play a significant role in the pathogenesis of these conditions, affecting the vascular and immune systems. Thus, monitoring of homocysteine levels is important for the diagnosis, prognosis and development of new therapeutic strategies in the field of immuno-oncology and treatment of COVID-19.
DOI: 10.15468/dl.ez8f9w
title: Occurrence Download

description: A dataset containing 27 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Chlorocichla prigoginei De Roo, 1967"
 ]
}

 The dataset includes 27 records from 6 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0014367-241107131044228/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.d7u3rm
title: Occurrence Download

description: A dataset containing 542 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Human Observation",
 "Country is one of (Spain, France)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Ursus arctos Linnaeus, 1758",
 "Year 1971-2010"
 ]
}

 The dataset includes 542 records from 22 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0014365-241107131044228/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.14162374
title: fowlea_asperrima_decontaminated_FSCR.fasta.gz
DOI: 10.5281/zenodo.14162375
title: fowlea_asperrima_decontaminated_FSCR.fasta.gz
DOI: 10.5281/zenodo.14161124
title: Translucent Event Logs based on the Road Traffic Fine Management Event Log and the Inductive Miner - infrequent

description: The translucent events logs in this file are based on the Road Traffic Fine Management Event Log (https://data.4tu.nl/articles/dataset/Road_Traffic_Fine_Management_Process/12683249) published by Massimiliano de Leoni and Felix Mannhardt. The folders' name specify the threshold setting of the Inductive Miner - infrequent (0.4, 0.6, and 0.8). Details on the generation can be found in https://doi.org/10.1007/978-3-031-70396-6_9.
DOI: 10.5281/zenodo.14161125
title: Translucent Event Logs based on the Road Traffic Fine Management Event Log and the Inductive Miner - infrequent

description: The translucent events logs in this file are based on the Road Traffic Fine Management Event Log (https://data.4tu.nl/articles/dataset/Road_Traffic_Fine_Management_Process/12683249) published by Massimiliano de Leoni and Felix Mannhardt. The folders' name specify the threshold setting of the Inductive Miner - infrequent (0.4, 0.6, and 0.8). Details on the generation can be found in https://doi.org/10.1007/978-3-031-70396-6_9.
DOI: 10.5281/zenodo.14161548
title: Translucent Event Logs based on the Sepsis Event Log and the Inductive Miner - infrequent

description: The translucent events logs in this file are based on the Sepsis Event Log (https://data.4tu.nl/articles/dataset/Sepsis_Cases_-_Event_Log/12707639/1) published by Felix Mannhardt. The folders' name specify the threshold setting of the Inductive Miner - infrequent (0.4, 0.6, and 0.8). Details on the generation can be found in https://doi.org/10.1007/978-3-031-70396-6_9.
DOI: 10.5281/zenodo.14161549
title: Translucent Event Logs based on the Sepsis Event Log and the Inductive Miner - infrequent

description: The translucent events logs in this file are based on the Sepsis Event Log (https://data.4tu.nl/articles/dataset/Sepsis_Cases_-_Event_Log/12707639/1) published by Felix Mannhardt. The folders' name specify the threshold setting of the Inductive Miner - infrequent (0.4, 0.6, and 0.8). Details on the generation can be found in https://doi.org/10.1007/978-3-031-70396-6_9.
DOI: 10.11588/data/n1t5t8
title: Refining and validating change requests from a crowd to derive requirements [data]

description: [Context/Motivation] Integrating user feedback into software development enhances system acceptance, decreases the likelihood of project failure and strengthens customer loyalty. Moreover, user feedback plays an important role in software evolution, because it can be the basis for deriving requirements. [Problems] However, to be able to derive requirements from feedback, the feedback must contain actionable change requests, that is contain detailed information regarding a change to the application. Furthermore, requirements engineers must know how many users support the change request. [Principal ideas] To address these challenges, we propose an approach that uses structured questions to transform non-actionable change requests into actionable and validate the change requests to assess their support among the users. We evaluate the approach in the large-scale research project SMART-AGE with over 200 older adults, aged 67 and older. [Contribution] We contribute a set of templates for our questions and our process, and we evaluate the approach’s feasibility, effectiveness and user satisfaction, resulting in very positive outcomes.
DOI: 10.15468/dl.qxkxmz
title: Occurrence Download

description: A dataset containing 2 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 },
 "TaxonKey is one of (Aspidistra acetabuliformis Y.Wan & C.C.Huang)"
 ]
}

 The dataset includes 2 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0014368-241107131044228/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.vjaagk
title: Occurrence Download

description: A dataset containing 711 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is A Specimen List of Hymenophyllaceae of Seram and Ambon collected on Indonesian-Japanese botanical expeditions 1983–1986"
 ]
}

 The dataset includes 711 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0014370-241107131044228/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.y648u5
title: Occurrence Download

description: A dataset containing 2320 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((-8.6467 40.6270,-8.6416 40.6351,-8.6523 40.6390,-8.6574 40.6309,-8.6467 40.6270))",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present"
 ]
}

 The dataset includes 2320 records from 22 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0014369-241107131044228/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.14162412
title: fowlea_piscator_decontaminated_FSCR.fasta.gz
DOI: 10.5281/zenodo.14162413
title: fowlea_piscator_decontaminated_FSCR.fasta.gz
DOI: 10.5281/zenodo.14104496
title: D4.3_Probefield_Dataset

description: Origin: WP4. This dataset contains VISNIR spectra from in situ measurements and laboratory analyses of air-dried and sieved samples (<2 mm), including pXRF analysis, all conducted by CSIC (Spain). The dataset includes samples collected from various field locations, with corresponding laboratory data from Italy and Turkey. In total, 136 samples were collected from experimental agricultural fields managed by CREA (IT) and TAGEM (TR). 

The dataset contains information on sampling date, sample_ID, site, crop, depth (cm), coordinates (in LAEA projection), and the corresponding analyzed values for the following parameters: texture (%, sand, silt, clay), pH (Ext 1:2.5), EC (Ext 1:5) (mS/cm), carbonate (% CaCO₃), active carbonate (%), organic carbon (%), total nitrogen (%), available phosphorus (mg/kg), cation exchange capacity (CEC, meq/100g), exchangeable bases (meq/100g), elemental analysis (pXRF), and VNIR-pretreated spectra (350–2500 nm). An additional sheet contains metadata on the lab methods used. The following pretreatments were applied to the absorbance value of VNIR spectral data: Standardization and correction factor with lucky bay sand following internal soil standard (ISS); Code Trimming; splice Correction; Savitzky-Golay smoothing filter; aggregation side 8 wavelength resampling
description: Purpose and objectives: The main purpose was to conduct a cost-benefit analysis to evaluate the improvement of multivariate VNIR models by integrating variables from elementary pXRF analysis for predicting soil parameters. For the in-situ data the protocol from Task 2.4 for the best surface preparation and the protocol from Task 3.2 for moisture effect removal are followed.
DOI: 10.6084/m9.figshare.27724272
title: Database files of the study title "Understanding the Role of Variability in Motor Control and Learning: Towards an Accessible Protocol for Analysis"

description: The objective of this study was to develop an accessible, standardized mouse-based task for home-based assessment of motor variability characteristics. Two protocols were conducted to that end: the firts one compared the mouse-based task to a well-established forcesensor lab task, and, the second protocol assessed the mouse-based task across various computer setupsVariables such as standard deviation, fuzzy entropy and detrended fluctuation analysis (DFA) were used to assess motor variability.
DOI: 10.6084/m9.figshare.27724272.v1
title: Database files of the study title "Understanding the Role of Variability in Motor Control and Learning: Towards an Accessible Protocol for Analysis"

description: The objective of this study was to develop an accessible, standardized mouse-based task for home-based assessment of motor variability characteristics. Two protocols were conducted to that end: the firts one compared the mouse-based task to a well-established forcesensor lab task, and, the second protocol assessed the mouse-based task across various computer setupsVariables such as standard deviation, fuzzy entropy and detrended fluctuation analysis (DFA) were used to assess motor variability.
DOI: 10.18150/ilcpeo
title: Udział miast w międzynarodowych procesach decyzyjnych – wpływ wybranych miast europejskich na prawo międzynarodowe i stosunki międzynarodowe - część 5

description: Zawartość zbioru danych: lista przywoływanych i analizowanych dokumentów.
DOI: 10.15468/dl.6dxjst
title: Occurrence Download

description: A dataset containing 613 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Human Observation",
 "Country is one of (France, Spain)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Ursus arctos Linnaeus, 1758",
 "Year 2011-2023"
 ]
}

 The dataset includes 613 records from 33 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0014371-241107131044228/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.myuqjj
title: Occurrence Download

description: A dataset containing 369 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is Population dynamics of endangered plants in Doñana Natural Space"
 ]
}

 The dataset includes 369 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0014373-241107131044228/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.qhenm3
title: Occurrence Download

description: A dataset containing 722569 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Ischnura elegans (Vander Linden, 1820))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 722569 records from 3018 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0014349-241107131044228/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.3hvua2
title: Occurrence Download

description: A dataset containing 179201779 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Human Observation",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Issue is one of (Coordinate rounded, Geodetic datum assumed WGS84, Coordinate reprojected, Footprint WKT mismatch, Country coordinate mismatch, Country mismatch, Country invalid, Country derived from coordinates, Continent coordinate mismatch, Continent country mismatch, Continent invalid, Continent derived from country, Continent derived from coordinates, Taxon match higher rank, Taxon match fuzzy, The scientific name ID was not used in backbone matching, The taxon concept ID was not used in backbone matching, The taxon ID was not used in backbone matching, Individual count invalid, Individual count conflicts with occurrence status, Occurrence status inferred from individual count)",
 "IucnRedListCategory is one of (CR, EW, EN, VU, NT, LC, DD, NE)",
 "TaxonKey is Tracheophyta",
 "Year 2000-2024"
 ]
}

 The dataset includes 179201779 records from 6584 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0031912-240314170635999/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15156/bio/sh0187066.10fu
title: SH0187066.10FU

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/sh0187067.10fu
title: SH0187067.10FU

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/sh0187068.10fu
title: SH0187068.10FU

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/sh0187069.10fu
title: SH0187069.10FU

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/sh0187070.10fu
title: SH0187070.10FU

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/sh0187071.10fu
title: SH0187071.10FU

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/sh0187072.10fu
title: SH0187072.10FU

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/sh0187073.10fu
title: SH0187073.10FU

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.