cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15468/dl.ujmk2v
title: Occurrence Download

description: A dataset containing 48 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasGeospatialIssue is false",
 "Geometry POLYGON ((-123.3651217403063 41.763193832565776, -123.36851257056271 41.76255188484953, -123.3716708578875 41.761426888258185, -123.37447517101926 41.75986210694991, -123.37681771457646 41.75791771308869, -123.37860847571086 41.75566846859861, -123.37977868175174 41.753200846020285, -123.38028343619754 41.75060970003967, -123.38010343280915 41.747994618420414, -123.37924568365013 41.745456093156925, -123.37774323521165 41.743091659254254, -123.37565388572348 41.74099214942186, -123.37305795487983 41.73923820816785, -123.37005519307323 41.7378971985327, -123.36676094953737 41.737020619443506, -123.3633017464254 41.7366421320137, -123.35981042786078 41.73677626981924, -123.35642106867327 41.737417882128646, -123.35326383636725 41.73854233121749, -123.35046000158702 41.74010643627989, -123.34811728688952 41.742050128104204, -123.34632573117754 41.74429875164501, -123.34515422808906 41.74676592889568, -123.34464787158934 41.74935687296728, -123.34482621181579 41.75197202683504, -123.34568248990597 41.75451088750532, -123.34718388332563 41.75687586891045, -123.34927275446213 41.75897605498872, -123.35186885644589 41.76073069827968, -123.35487241283 41.76207232886408, -123.35816795341347 41.76294935328101, -123.36162875857947 41.76332804261982, -123.3651217403063 41.763193832565776))",
 "Year is one of (2019, 2020, 2021, 2022, 2023, 2024, 2025)",
 "KingdomKey is one of (Animalia, Fungi, Plantae)"
 ]
}

 The dataset includes 48 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0004327-250214102907787/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.86knb7
title: Occurrence Download

description: A dataset containing 37 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is France",
 "Geometry POLYGON((1.36544 43.53626,1.37225 43.53988,1.37618 43.54021,1.38224 43.54251,1.3842 43.5446,1.37876 43.54734,1.37634 43.54668,1.36726 43.54931,1.36378 43.54854,1.35425 43.55205,1.35107 43.54942,1.35697 43.54646,1.3544 43.54416,1.35592 43.54284,1.35455 43.54142,1.35849 43.53714,1.36544 43.53626))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "IucnRedListCategory is one of (EN, LC)",
 "OccurrenceStatus is Present"
 ]
}

 The dataset includes 37 records from 11 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0004326-250214102907787/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.14886332
title: HiStabJuice WP5 Strawberry Nectar Pilot Plant MultiTreatment Analysis

description: This dataset contains analytical data on strawberry nectar subjected to equivalent 5-log reduction treatments using Ohmic Heating (OH), Pulsed Electric Fields (PF), High-Pressure Processing (HP), and Thermal treatments (TT). The dataset includes measurements for untreated nectar, immediately after treatment (d00), and after 30 (d30) and 60 (d60) days of storage at 4°C. The data is organized into 6 Excel files (.xlsx) and encompasses:





Vitamins (mg/L): Ascorbic acid, Dehydroascorbic acid, Pantothenic acid, Nicotinic acid, Nicotinamide, Riboflavin, Thiamine, Pyridoxine.




Polyphenols (mg/L): 39 molecules grouped into Flavones, Flavanones, Flavonols, Hydroxybenzoic acids (HBAs), Ellagitannins, Hydrocaffeic acid (HCA), and Flavanols.




Enzymes (% relative activity): Polyphenol Oxidase (PPO) and Peroxidase (POD).




Color Parameters: L*, a*, b*, C, h.




Aroma Compounds (ug/L): Methyl butyrate, Ethyl butyrate, Ethyl-2-methylbutyrate, Methyl hexanoate, Ethyl hexanoate, Hexyl acetate, Benzyl acetate, Methyl cinnamate, Ethyl cinnamate, cis-3-Hexenol, 2-Pentanone, Mesifuran, Linalool, trans-Nerolidol, gamma-Decalactone, gamma-Dodecalactone, Nonanal, Hexanal, trans-2-Hexenal.




Anthocyanins (mg/L): Cyanidin-3-glucoside, Pelargonidin-3-O-glucoside, Pelargonidin-3-O-rutinoside, Pelargonidin-3-O-(6-malonyl glucoside).



This dataset is part of Work Package 5 (WP5) of the HiStabJuice project, focusing on the stability and quality of strawberry nectar under various processing and storage conditions. 

File Structure:



Anthocyanins_Data.xlsx

Enzymes_Data.xlsx

Polyphenols_Data.xlsx

Vitamins_Data.xlsx

Color_Data.xlsx

Aroma_Data.xlsx
DOI: 10.5281/zenodo.14886333
title: HiStabJuice WP5 Strawberry Nectar Pilot Plant MultiTreatment Analysis

description: This dataset contains analytical data on strawberry nectar subjected to equivalent 5-log reduction treatments using Ohmic Heating (OH), Pulsed Electric Fields (PF), High-Pressure Processing (HP), and Thermal treatments (TT). The dataset includes measurements for untreated nectar, immediately after treatment (d00), and after 30 (d30) and 60 (d60) days of storage at 4°C. The data is organized into 6 Excel files (.xlsx) and encompasses:





Vitamins (mg/L): Ascorbic acid, Dehydroascorbic acid, Pantothenic acid, Nicotinic acid, Nicotinamide, Riboflavin, Thiamine, Pyridoxine.




Polyphenols (mg/L): 39 molecules grouped into Flavones, Flavanones, Flavonols, Hydroxybenzoic acids (HBAs), Ellagitannins, Hydrocaffeic acid (HCA), and Flavanols.




Enzymes (% relative activity): Polyphenol Oxidase (PPO) and Peroxidase (POD).




Color Parameters: L*, a*, b*, C, h.




Aroma Compounds (ug/L): Methyl butyrate, Ethyl butyrate, Ethyl-2-methylbutyrate, Methyl hexanoate, Ethyl hexanoate, Hexyl acetate, Benzyl acetate, Methyl cinnamate, Ethyl cinnamate, cis-3-Hexenol, 2-Pentanone, Mesifuran, Linalool, trans-Nerolidol, gamma-Decalactone, gamma-Dodecalactone, Nonanal, Hexanal, trans-2-Hexenal.




Anthocyanins (mg/L): Cyanidin-3-glucoside, Pelargonidin-3-O-glucoside, Pelargonidin-3-O-rutinoside, Pelargonidin-3-O-(6-malonyl glucoside).



This dataset is part of Work Package 5 (WP5) of the HiStabJuice project, focusing on the stability and quality of strawberry nectar under various processing and storage conditions. 

File Structure:



Anthocyanins_Data.xlsx

Enzymes_Data.xlsx

Polyphenols_Data.xlsx

Vitamins_Data.xlsx

Color_Data.xlsx

Aroma_Data.xlsx
DOI: 10.15468/dl.3h6ct8
title: Occurrence Download

description: A dataset containing 9191 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Elephas maximus Linnaeus, 1758"
 ]
}

 The dataset includes 9191 records from 103 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0004332-250214102907787/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.6084/m9.figshare.28435232
title: Chiller operation data set

description: The ASHRAE RP-1043 dataset comes from a research project by the American Society of Heating, Refrigerating, and Air-Conditioning Engineers (ASHRAE) and focuses on the fault diagnosis of chillers. It records the operating parameters of chillers under different fault conditions, including temperature, pressure, and flow. This data supports researchers in developing and applying various fault diagnosis algorithms. The RP-1043 dataset covers multiple types of chiller faults, with corresponding operational data for each fault type. The dataset structure typically includes multiple features (such as temperature, pressure, and flow) and a label indicating the fault type, making it suitable for training and testing fault diagnosis models.
DOI: 10.20350/digitalcsic/13968
title: Supplementary Table 1 - Nitrogen and phosphorus flux rates through marine sponges

description: Supplementary material.-- 1 file
description: This Excel file is the Supplementary Table 1 of the book chapter entitled "Nitrogen And Phosphorus Cycling Through Marine Sponges: Physiology, cytology, genomics, and ecological implications". It includes the 33 studies published before early 2021 in which ammonium, nitrite, nitrate, and/or phosphate net fluxes have been measured in marine sponges, which have been used in the overall calculations made in the chapter
DOI: 10.6084/m9.figshare.28435238
title: 28_1_2025_triplet-athermalized-F#1.2-640x480x17-BAO.SES

description: A design of a long-wavelength thermal imaging system with a large focal length, a fairly large field of view, and the ability to operate in a wide temperature range is built. The analysis results of the image quality criteria on ZEMAX software show that the optical system meets the requirements.
DOI: 10.6084/m9.figshare.28435238.v1
title: 28_1_2025_triplet-athermalized-F#1.2-640x480x17-BAO.SES

description: A design of a long-wavelength thermal imaging system with a large focal length, a fairly large field of view, and the ability to operate in a wide temperature range is built. The analysis results of the image quality criteria on ZEMAX software show that the optical system meets the requirements.
DOI: 10.15468/dl.9u8aq3
title: Occurrence Download

description: A dataset containing 1464 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Lobesia botrana (Denis & Schiffermüller), 1775"
 ]
}

 The dataset includes 1464 records from 76 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0004333-250214102907787/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.4kc3hs
title: Occurrence Download

description: A dataset containing 689973 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Achillea millefolium L.",
 "OccurrenceStatus is Present",
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "Year is greater than or equal to 1900",
 "Year is less than or equal to 2010"
 ]
}

 The dataset includes 689973 records from 1584 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0004325-250214102907787/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15156/bio/sh0203641.10fu
title: SH0203641.10FU

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/sh0203642.10fu
title: SH0203642.10FU

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/sh0203643.10fu
title: SH0203643.10FU

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/sh0203644.10fu
title: SH0203644.10FU

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/sh0203645.10fu
title: SH0203645.10FU

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/sh0203646.10fu
title: SH0203646.10FU

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: 10.6084/m9.figshare.29023172
title: Dataset for FB2BPMN

description: This dataset contains user feedback texts, their structured representations, and the corresponding generated BPMN elements used in a study on automating BPMN model creation. It also includes the LLM prompt employed during the feedback-to-BPMN transformation process. The approach integrates natural language processing (NLP), large language models (LLM), and fuzzy string matching to translate natural language feedback into BPMN diagrams. The dataset supports evaluation, validation, and reproducibility of the proposed translation method (FB2BPMN).
DOI: 10.6084/m9.figshare.29023172.v3
title: Dataset for FB2BPMN

description: This dataset contains user feedback texts, their structured representations, and the corresponding generated BPMN elements used in a study on automating BPMN model creation. It also includes the LLM prompt employed during the feedback-to-BPMN transformation process. The approach integrates natural language processing (NLP), large language models (LLM), and fuzzy string matching to translate natural language feedback into BPMN diagrams. The dataset supports evaluation, validation, and reproducibility of the proposed translation method (FB2BPMN).
DOI: 10.15156/bio/sh0203647.10fu
title: SH0203647.10FU

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: 10.6084/m9.figshare.29023172.v2
title: Dataset for Translating User Feedback into BPMN using NLP, LLM, and Fuzzy String Matching

description: This dataset contains user feedback texts, structured representations, and generated BPMN elements used in a study on automating BPMN model creation. The approach applies NLP, LLM, and fuzzy string matching to translate natural language feedback into BPMN diagrams. The data supports evaluation and reproducibility of the proposed translation framework.
DOI: 10.15156/bio/sh0203648.10fu
title: SH0203648.10FU

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/sh0203649.10fu
title: SH0203649.10FU

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/sh0203650.10fu
title: SH0203650.10FU

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.