cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.71569/x934-1498
title: Aqueous two-phase systems based on natural deep eutectic solvents for protein extraction from microalgal biomass grown in wastewater

description: The cultivation of microalgae in photobioreactors offers a sustainable approach for efficient treatment of nutrient-rich wastewater while producing biomass rich in valuable biocompounds that can be recovered. Aqueous two-phase systems (ATPSs) composed of the combination of two natural deep eutectic solvents (NADESs), betaine-levulinic acid (Bet:2LA) and choline chloride-urea (ChCl:2Urea), with di- and tripotassium phosphate salts, were evaluated as green extraction technologies for protein recovery from microalgal biomass cultivated in swine wastewater. The extraction capacity was compared with that of ATPSs formed by natural metabolites betaine or choline chloride and the phosphate salts. Binodal curves and tie-lines were experimentally determined for each system at 25 ºC to characterize the ATPS studied. Protein recovery yield (PRY) from the biomass was analyzed for the six ATPSs at three different extraction times at 25 ºC. The best compromise between PRY, selectivity relative to carbohydrate coextraction, and extraction time was achieved using the Bet:2LA NADES paired with K3PO4 after 30 min (PRY 16.4 %). This ATPS contains 50 % water, underscoring its environmentally friendly profile. These findings suggest the feasibility of NADES-based ATPS for efficient and fast protein extraction from wastewater-derived microalgal biomass in mild conditions.
DOI: 10.5517/cc7543m
title: CCDC 213469: Experimental Crystal Structure Determination

description: Related Article: E.W.Ainscough, A.M.Brodie, A.K.Burrell, A.Derwahl, G.B.Jameson, S.K.Taylor|2004|Polyhedron|23|1159|doi:10.1016/j.poly.2004.01.015
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/cc7544n
title: CCDC 213470: Experimental Crystal Structure Determination

description: Related Article: E.W.Ainscough, A.M.Brodie, A.K.Burrell, A.Derwahl, G.B.Jameson, S.K.Taylor|2004|Polyhedron|23|1159|doi:10.1016/j.poly.2004.01.015
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/cc7545p
title: CCDC 213471: Experimental Crystal Structure Determination

description: Related Article: E.W.Ainscough, A.M.Brodie, A.K.Burrell, A.Derwahl, G.B.Jameson, S.K.Taylor|2004|Polyhedron|23|1159|doi:10.1016/j.poly.2004.01.015
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/cc7546q
title: CCDC 213472: Experimental Crystal Structure Determination

description: Related Article: E.W.Ainscough, A.M.Brodie, A.K.Burrell, A.Derwahl, G.B.Jameson, S.K.Taylor|2004|Polyhedron|23|1159|doi:10.1016/j.poly.2004.01.015
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/cc6r3wx
title: CCDC 200969: Experimental Crystal Structure Determination

description: Related Article: Jingcai Yao, Wei Huang, Haibin Zhu, Jianglin Fang, Shaohua Gou|2004|Polyhedron|23|1169|doi:10.1016/j.poly.2004.01.010
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/cc7sp5v
title: CCDC 232257: Experimental Crystal Structure Determination

description: Related Article: L.K.Thompson, V.Niel, H.Grove, D.O.Miller, M.J.Newlands, P.H.Bird, W.A.Wickramasinghe, A.B.P.Lever|2004|Polyhedron|23|1175|doi:10.1016/j.poly.2004.01.022
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/cc7sp6w
title: CCDC 232258: Experimental Crystal Structure Determination

description: Related Article: L.K.Thompson, V.Niel, H.Grove, D.O.Miller, M.J.Newlands, P.H.Bird, W.A.Wickramasinghe, A.B.P.Lever|2004|Polyhedron|23|1175|doi:10.1016/j.poly.2004.01.022
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/cc7sp7x
title: CCDC 232259: Experimental Crystal Structure Determination

description: Related Article: L.K.Thompson, V.Niel, H.Grove, D.O.Miller, M.J.Newlands, P.H.Bird, W.A.Wickramasinghe, A.B.P.Lever|2004|Polyhedron|23|1175|doi:10.1016/j.poly.2004.01.022
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/cc7sp8y
title: CCDC 232260: Experimental Crystal Structure Determination

description: Related Article: L.K.Thompson, V.Niel, H.Grove, D.O.Miller, M.J.Newlands, P.H.Bird, W.A.Wickramasinghe, A.B.P.Lever|2004|Polyhedron|23|1175|doi:10.1016/j.poly.2004.01.022
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/cc82xrz
title: CCDC 241141: Experimental Crystal Structure Determination

description: Related Article: Ho-Kee Yim and Henry N. C. Wong|2004|J.Org.Chem.|69|2892|doi:10.1021/jo030385e
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/cc82xs0
title: CCDC 241142: Experimental Crystal Structure Determination

description: Related Article: Ho-Kee Yim and Henry N. C. Wong|2004|J.Org.Chem.|69|2892|doi:10.1021/jo030385e
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/cc82xt1
title: CCDC 241143: Experimental Crystal Structure Determination

description: Related Article: Ho-Kee Yim and Henry N. C. Wong|2004|J.Org.Chem.|69|2892|doi:10.1021/jo030385e
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/cc82xv2
title: CCDC 241144: Experimental Crystal Structure Determination

description: Related Article: Ho-Kee Yim and Henry N. C. Wong|2004|J.Org.Chem.|69|2892|doi:10.1021/jo030385e
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/cc82xw3
title: CCDC 241145: Experimental Crystal Structure Determination

description: Related Article: Ho-Kee Yim and Henry N. C. Wong|2004|J.Org.Chem.|69|2892|doi:10.1021/jo030385e
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/cc82y8j
title: CCDC 241157: Experimental Crystal Structure Determination

description: Related Article: P.Kilian, H.L.Milton, A.M.Z.Slawin, J.D.Woollins|2004|Inorg.Chem.|43|2252|doi:10.1021/ic035364h
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.15468/dl.bpckwm
title: Occurrence Download

description: A dataset containing 11 records in GBIF matching the query:
SELECT
 kingdom,
 kingdomkey,
 phylum,
 phylumkey,
 class,
 classkey,
 "order",
 orderkey,
 family,
 familykey,
 genus,
 genuskey,
 species,
 specieskey,
 "year",
 IF(ISNULL(kingdomkey), NULL, SUM(COUNT(*)) OVER (
 PARTITION BY kingdomkey, "year")) kingdomcount,
 IF(ISNULL(phylumkey), NULL, SUM(COUNT(*)) OVER (
 PARTITION BY phylumkey, "year")) phylumcount,
 IF(ISNULL(classkey), NULL, SUM(COUNT(*)) OVER (
 PARTITION BY classkey, "year")) classcount,
 IF(ISNULL(orderkey), NULL, SUM(COUNT(*)) OVER (
 PARTITION BY orderkey, "year")) ordercount,
 IF(ISNULL(familykey), NULL, SUM(COUNT(*)) OVER (
 PARTITION BY familykey, "year")) familycount,
 IF(ISNULL(genuskey), NULL, SUM(COUNT(*)) OVER (
 PARTITION BY genuskey, "year")) genuscount,
 COUNT(*) occurrences,
 MIN(GBIF_TEMPORALUNCERTAINTY(eventdate, eventtime)) mintemporaluncertainty,
 MIN(COALESCE(coordinateuncertaintyinmeters, 1000)) mincoordinateuncertaintyinmeters
FROM
 occurrence
WHERE
 occurrence.countrycode = 'CR'
 AND GBIF_WITHIN('POLYGON((-84.9 10.25,-84.75 10.25,-84.75 10.4,-84.9 10.4,-84.9 10.25))', occurrence.decimallatitude, occurrence.decimallongitude) = TRUE
 AND occurrence.occurrencestatus = 'PRESENT'
 AND (CAST(occurrence.taxonkey AS INTEGER) = 6177818 OR CAST(occurrence.acceptedtaxonkey AS INTEGER) = 6177818 OR CAST(occurrence.kingdomkey AS INTEGER) = 6177818 OR CAST(occurrence.phylumkey AS INTEGER) = 6177818 OR CAST(occurrence.classkey AS INTEGER) = 6177818 OR CAST(occurrence.orderkey AS INTEGER) = 6177818 OR CAST(occurrence.familykey AS INTEGER) = 6177818 OR CAST(occurrence.genuskey AS INTEGER) = 6177818 OR CAST(occurrence.specieskey AS INTEGER) = 6177818)
 AND occurrence.hasgeospatialissues = FALSE
 AND NOT GBIF_STRINGARRAYCONTAINS(occurrence.issue, 'TAXON_MATCH_FUZZY', TRUE)
 AND (occurrence.distancefromcentroidinmeters &gt;= 2000.0 OR occurrence.distancefromcentroidinmeters IS NULL)
 AND NOT occurrence.basisofrecord IN ('FOSSIL_SPECIMEN', 'LIVING_SPECIMEN')
 AND (occurrence.specieskey IS NOT NULL AND occurrence."year" IS NOT NULL)
GROUP BY
 occurrence.kingdom,
 occurrence.kingdomkey,
 occurrence.phylum,
 occurrence.phylumkey,
 occurrence.class,
 occurrence.classkey,
 occurrence."order",
 occurrence.orderkey,
 occurrence.family,
 occurrence.familykey,
 occurrence.genus,
 occurrence.genuskey,
 occurrence.species,
 occurrence.specieskey,
 occurrence."year"

 The dataset's 11 records were derived from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0019439-251009101135966/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15156/bio/sh1428508.10fu
title: SH1428508.10FU

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/sh1428511.10fu
title: SH1428511.10FU

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/sh1428648.10fu
title: SH1428648.10FU

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/sh1428693.10fu
title: SH1428693.10FU

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/sh1428715.10fu
title: SH1428715.10FU

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/sh1428716.10fu
title: SH1428716.10FU

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/sh1428886.10fu
title: SH1428886.10FU

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/sh1428888.10fu
title: SH1428888.10FU

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/sh1428889.10fu
title: SH1428889.10FU

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.