cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.57907/mirri/0jf5tl
title: MIRRI0137204

description: Organism type: Bacteria ; Taxon name: Corynebacterium renale ; Collection: CECT 4082
DOI: 10.57907/mirri/44m7tp/wo1ql1
title: MIRRI0137227.json

description: Strain json file
DOI: 10.57907/mirri/4rsnwf
title: MIRRI0137211

description: Organism type: Bacteria ; Taxon name: Burkholderia cepacia ; Collection: CECT 4091
DOI: 10.57907/mirri/adk0ub/ugcrzi
title: MIRRI0139026.json

description: Strain json file
DOI: 10.57907/mirri/esg75o/xk47s2
title: MIRRI0139840.json

description: Strain json file
DOI: 10.57907/mirri/gglgy0
title: MIRRI0139000

description: Organism type: Bacteria ; Taxon name: Actinomyces procaprae ; Collection: CECT 7335
DOI: 10.57907/mirri/hhdm9a
title: MIRRI0137223

description: Organism type: Bacteria ; Taxon name: Hydrogenophaga flava ; Collection: CECT 4106
DOI: 10.57907/mirri/n3le9y/ruuyyw
title: MIRRI0139578.json

description: Strain json file
DOI: 10.57907/mirri/ssmtfs/5gfdkh
title: MIRRI0139037.json

description: Strain json file
DOI: 10.57907/mirri/t9ecrp
title: MIRRI0139019

description: Organism type: Bacteria ; Taxon name: Streptomyces celluloflavus ; Collection: CECT 7364
DOI: 10.57907/mirri/t9ecrp/rr8pog
title: MIRRI0139019.json

description: Strain json file
DOI: 10.57907/mirri/tsqe2t/08zorc
title: MIRRI0139580.json

description: Strain json file
DOI: 10.57907/mirri/usukcx
title: MIRRI0139013

description: Organism type: Bacteria ; Taxon name: Halorubrum ; Collection: CECT 7325
DOI: 10.57907/mirri/wyc9tb
title: MIRRI0137284

description: Organism type: Bacteria ; Taxon name: Pseudomonas guariconensis ; Collection: CECT 8262
DOI: 10.57907/mirri/z8snrh
title: MIRRI0139819

description: Organism type: Bacteria ; Taxon name: Thermoactinomyces ; Collection: CECT 8535
DOI: 10.23636/67q2-5d19
title: St. Helens Examiner

description: St. Helens Examiner was a weekly newspaper which has been digitised by the British Library for the Living with Machines project.
description: The file consists of the OCR (Optical Character Recognition) text in XML format for one year of St. Helens Examiner. The full digitised newspaper comprises no. 34-2348 (24 May 1879 - 24 Dec.1924) The newspaper continued beyond 1901 but this has not been included in this dataset due to copyright considerations. The period from 1921 � 1924 has yet to be digitised. The digitised page images for 1879 � 1920 are available on the British Newspaper Archive website, https://www.britishnewspaperarchive.co.uk/titles/ st-helens-examiner The British Newspaper Archive pages images are behind a paywall, but from March 2021 the paywall will be lifted and some of these images will eventually be free to view.
description: UK
DOI: 10.3535/99n-h0p-8ps
title: Gypsophila L.

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/p14-009-586
title: Boraginaceae Juss.

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.57907/mirri/14xrwy/zcv0rf
title: MIRRI0139550.json

description: Strain json file
DOI: 10.57907/mirri/2jvcq0
title: MIRRI0139064

description: Organism type: Bacteria ; Taxon name: Herpetosiphon ; Collection: CECT 7214
DOI: 10.57907/mirri/2mfdq0/mdovin
title: MIRRI0137240.json

description: Strain json file
DOI: 10.57907/mirri/4fqjao
title: MIRRI0139048

description: Organism type: Bacteria ; Taxon name: Mycobacterium frederiksbergense ; Collection: CECT 7418
DOI: 10.57907/mirri/4is56v/m2ld0m
title: MIRRI0137260.json

description: Strain json file
DOI: 10.57907/mirri/561ppv
title: MIRRI0137277

description: Organism type: Bacteria ; Taxon name: Corynebacterium variabile ; Collection: CECT 4164
DOI: 10.57907/mirri/561ppv/shxali
title: MIRRI0137277.json

description: Strain json file
DOI: 10.57907/mirri/d55251/lz9gjt
title: MIRRI0137281.json

description: Strain json file
DOI: 10.57907/mirri/dfseg4
title: MIRRI0137299

description: Organism type: Bacteria ; Taxon name: Alteromonas macleodii ; Collection: CECT 4189
DOI: 10.57907/mirri/dwgwkj/ighpca
title: MIRRI0137259.json

description: Strain json file
DOI: 10.57907/mirri/jf3hr7
title: MIRRI0137356

description: Organism type: Bacteria ; Taxon name: Salmonella enterica subsp. enterica ; Collection: CECT 4266
DOI: 10.57907/mirri/kbftoj/zpzloh
title: MIRRI0139040.json

description: Strain json file
DOI: 10.57907/mirri/kyfeig
title: MIRRI0137336

description: Organism type: Bacteria ; Taxon name: Aeromonas sobria ; Collection: CECT 4245
DOI: 10.57907/mirri/lfwpae/u4tzvj
title: MIRRI0138933.json

description: Strain json file
DOI: 10.57907/mirri/lie4fn
title: MIRRI0137262

description: Organism type: Bacteria ; Taxon name: Acinetobacter wanghuae ; Collection: CECT 4149
DOI: 10.57907/mirri/m35fb3
title: MIRRI0137301

description: Organism type: Bacteria ; Taxon name: Photobacterium leiognathi ; Collection: CECT 4191
DOI: 10.57907/mirri/me4lsr/zy7ctf
title: MIRRI0139036.json

description: Strain json file
DOI: 10.57907/mirri/nmnt71/rgfmgv
title: MIRRI0137230.json

description: Strain json file
DOI: 10.57907/mirri/o928gm
title: MIRRI0137279

description: Organism type: Bacteria ; Taxon name: Ancylobacter aquaticus ; Collection: CECT 4166
DOI: 10.57907/mirri/om6tho
title: MIRRI0138944

description: Organism type: Bacteria ; Taxon name: Bacillus cereus ; Collection: CECT 7259
DOI: 10.57907/mirri/poymrd
title: MIRRI0137475

description: Organism type: Bacteria ; Taxon name: Pseudomonas aeruginosa ; Collection: CECT 4403
DOI: 10.57907/mirri/qx6usj
title: MIRRI0139162

description: Organism type: Bacteria ; Taxon name: Acidimangrovimonas sediminis ; Collection: CECT 7600
DOI: 10.57907/mirri/rgl8i7
title: MIRRI0139106

description: Organism type: Bacteria ; Taxon name: Salinibacter ruber ; Collection: CECT 7502
DOI: 10.57907/mirri/v2o1wt
title: MIRRI0139555

description: Organism type: Bacteria ; Taxon name: Clavibacter michiganensis subsp. phaseoli ; Collection: CECT 8144
DOI: 10.57907/mirri/wtbskm
title: MIRRI0137253

description: Organism type: Bacteria ; Taxon name: Salmonella enterica subsp. enterica ; Collection: CECT 4138
DOI: 10.3535/y72-l60-0hx
title: Telephium imperati L.

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/yv6-l13-lc8
title: Tamarix parviflora DC.

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.57745/okxx83
title: IsopropylOxiStilbeninDiglucoside.zip

description: Structure of the molecule, NMR files, HRMS spectra (pdf), purification (pdf) method, CSV files for DPPH, ORAC and UV analysis
DOI: 10.57745/phf0mo
title: DecylOxiStilbeninDiglucoside.zip

description: Structure of the molecule, NMR files, HRMS spectra (pdf), purification (pdf) method, CSV files for DPPH, ORAC and UV analysis
DOI: 10.57907/mirri/4ogyqp
title: MIRRI0139602

description: Organism type: Bacteria ; Taxon name: Vibrio ichthyoenteri ; Collection: CECT 8220
DOI: 10.57907/mirri/9eyho8/xmmrmp
title: MIRRI0139125.json

description: Strain json file
DOI: 10.57907/mirri/clr04c/g1yi8b
title: MIRRI0139102.json

description: Strain json file
DOI: 10.57907/mirri/d7wmdz
title: MIRRI0139086

description: Organism type: Bacteria ; Taxon name: Listeria monocytogenes ; Collection: CECT 7467
DOI: 10.57907/mirri/eeouw5
title: MIRRI0139105

description: Organism type: Bacteria ; Taxon name: Natronorubrum sediminis ; Collection: CECT 7486
DOI: 10.57907/mirri/f5pro6/dqth9y
title: MIRRI0139119.json

description: Strain json file
DOI: 10.57907/mirri/kbftoj
title: MIRRI0139040

description: Organism type: Bacteria ; Taxon name: Bradyrhizobium pachyrhizi ; Collection: CECT 7396
DOI: 10.57907/mirri/thub87
title: MIRRI0139103

description: Organism type: Bacteria ; Taxon name: Enterovibrio nigricans ; Collection: CECT 7497
DOI: 10.3535/yx0-dn7-57f
title: Carex mucronata All.

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.57745/7bnjku
title: DodecylOxiStilbeninDiglucoside.zip

description: Structure of the molecule, NMR files, HRMS spectra (pdf), purification (pdf) method, CSV files for DPPH, ORAC and UV analysis
DOI: 10.57907/mirri/4iwcfy
title: MIRRI0138996

description: Organism type: Bacteria ; Taxon name: Bacillus ; Collection: CECT 7329
DOI: 10.57907/mirri/bjgfuk/01d93x
title: MIRRI0139126.json

description: Strain json file
DOI: 10.57907/mirri/c2xuzd
title: MIRRI0137289

description: Organism type: Bacteria ; Taxon name: Corynebacterium variabile ; Collection: CECT 4178
DOI: 10.57907/mirri/fyh5wg/madvs9
title: MIRRI0139877.json

description: Strain json file
DOI: 10.57907/mirri/n7bbf6/q0dkhu
title: MIRRI0138950.json

description: Strain json file
DOI: 10.57907/mirri/nfmcke
title: MIRRI0137295

description: Organism type: Bacteria ; Taxon name: Staphylococcus epidermidis ; Collection: CECT 4184
DOI: 10.57907/mirri/r6i34r/2uvear
title: MIRRI0138988.json

description: Strain json file
DOI: 10.57907/mirri/sj9zwc/kbyasz
title: MIRRI0138953.json

description: Strain json file
DOI: 10.57907/mirri/zqp3e7/p8dnlj
title: MIRRI0139565.json

description: Strain json file
DOI: 10.3535/9sq-z4g-g6a
title: Boraginaceae Juss.

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/lle-qsa-mzn
title: Doronicum austriacum Jacq.

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.57745/fffb8z
title: ButylOxiStilbeninDiglucoside.zip

description: Structure of the molecule, NMR files, HRMS spectra (pdf), purification (pdf) method, CSV files for DPPH, ORAC and UV analysis
DOI: 10.57745/o4p41z
title: HexylOxiStilbeninDiglucoside.zip

description: Structure of the molecule, NMR files, HRMS spectra (pdf), purification (pdf) method, CSV files for DPPH, ORAC and UV analysis
DOI: 10.57907/mirri/2kw14d/hoet77
title: MIRRI0138994.json

description: Strain json file
DOI: 10.57907/mirri/3lqtio
title: MIRRI0138991

description: Organism type: Bacteria ; Taxon name: Nautella italica ; Collection: CECT 7321
DOI: 10.57907/mirri/asehof/0r4jda
title: MIRRI0139851.json

description: Strain json file
DOI: 10.57907/mirri/htub1p/2itdj0
title: MIRRI0138971.json

description: Strain json file
DOI: 10.57907/mirri/i1uc34
title: MIRRI0138998

description: Organism type: Bacteria ; Taxon name: Halomonas ilicicola ; Collection: CECT 7331
DOI: 10.15156/bio/sh1385942.10fu
title: SH1385942.10FU

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/sh1385943.10fu
title: SH1385943.10FU

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/sh1385944.10fu
title: SH1385944.10FU

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/sh1385946.10fu
title: SH1385946.10FU

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/sh1385949.10fu
title: SH1385949.10FU

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/sh1385952.10fu
title: SH1385952.10FU

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/sh1385953.10fu
title: SH1385953.10FU

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/sh1385954.10fu
title: SH1385954.10FU

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: 10.5281/zenodo.15738905
title: South Tyrolean Industrial Site-Level Energy and Emissions Database 2022: A Top-down Disaggregation Methodology

description: This repository contains a detailed database of energy consumption and emissions data for South Tyrolean industrial sites for the year 2022. The database was developed through a novel top-down methodology that bridges national statistics and site-level data, as detailed in the associated data paper Bridging the industrial data gap: Top-down approach from national statistics to site-level energy consumption data - ScienceDirecthttps://www.sciencedirect.com/science/article/pii/S2352340925000976?via%3Dihub

Key features of the database:

    Site-specific energy consumption data across seven energy carriers: solid fossil fuels, manufactured gases, oil and petroleum products, natural gas, biofuels, non-renewable wastes, and electricity    Process heat categorization by temperature ranges (<100°C, 100°C-500°C, 500°C-1000°C, and >1000°C)    Integration of process emissions from feedstock use in hard-to-abate sectors    Geographical coordinates and regional information for each industrial class and macro-sector    Industrial sector classification using both ATECO 2007 and EUROSTAT Energy Balance categories

Data sources integrated:

    EU Emissions Trading System (EU-ETS) database    EUROSTAT Energy Balance statistics    JRC-IDEES database    South Tyrolean municipalities' geographical database (ASTAT)

The methodology presented can be replicated for other European countries or regions, as it relies on commonly available data sources across the EU. This database is particularly valuable for:

    Energy system modelers    Researchers studying industrial decarbonization    Policymakers developing targeted climate strategies    Industry stakeholders assessing technology transition pathways

This work was funded by the European Union - NextGenerationEU, in the framework of the consortium iNEST - Interconnected Nord-Est Innovation Ecosystem (PNRR, Missione 4 Componente 2, Investimento 1.5 D.D. 1058 23/06/2022, ECS_00000043 – Spoke1, RT3A, CUP I43C22000250006). The views and opinions expressed are solely those of the authors and do not necessarily reflect those of the European Union, nor can the European Union be held responsible for them.
DOI: 10.5281/zenodo.18230035
title: South Tyrolean Industrial Site-Level Energy and Emissions Database 2022: A Top-down Disaggregation Methodology

description: This repository contains a detailed database of energy consumption and emissions data for South Tyrolean industrial sites for the year 2022. The database was developed through a novel top-down methodology that bridges national statistics and site-level data, as detailed in the associated data paper Bridging the industrial data gap: Top-down approach from national statistics to site-level energy consumption data - ScienceDirecthttps://www.sciencedirect.com/science/article/pii/S2352340925000976?via%3Dihub

Key features of the database:

    Site-specific energy consumption data across seven energy carriers: solid fossil fuels, manufactured gases, oil and petroleum products, natural gas, biofuels, non-renewable wastes, and electricity    Process heat categorization by temperature ranges (<100°C, 100°C-500°C, 500°C-1000°C, and >1000°C)    Integration of process emissions from feedstock use in hard-to-abate sectors    Geographical coordinates and regional information for each industrial class and macro-sector    Industrial sector classification using both ATECO 2007 and EUROSTAT Energy Balance categories

Data sources integrated:

    EU Emissions Trading System (EU-ETS) database    EUROSTAT Energy Balance statistics    JRC-IDEES database    South Tyrolean municipalities' geographical database (ASTAT)

The methodology presented can be replicated for other European countries or regions, as it relies on commonly available data sources across the EU. This database is particularly valuable for:

    Energy system modelers    Researchers studying industrial decarbonization    Policymakers developing targeted climate strategies    Industry stakeholders assessing technology transition pathways

This work was funded by the European Union - NextGenerationEU, in the framework of the consortium iNEST - Interconnected Nord-Est Innovation Ecosystem (PNRR, Missione 4 Componente 2, Investimento 1.5 D.D. 1058 23/06/2022, ECS_00000043 – Spoke1, RT3A, CUP I43C22000250006). The views and opinions expressed are solely those of the authors and do not necessarily reflect those of the European Union, nor can the European Union be held responsible for them.