cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.14336625.v2
title: Learning Multiple Quantiles With Neural Networks

description: We present a neural network model for estimation of multiple conditional quantiles that satisfies the noncrossing property. Motivated by linear noncrossing quantile regression, we propose a noncrossing quantile neural network model with inequality constraints. In particular, to use the first-order optimization method, we develop a new algorithm for fitting the proposed model. This algorithm gives a nearly optimal solution without the projected gradient step that requires polynomial computation time. We compare the performance of our proposed model with that of existing neural network models on simulated and real precipitation data. Supplementary materials for this article are available online.
DOI: 10.6084/m9.figshare.14336625.v1
title: Learning Multiple Quantiles with Neural Networks

description: We present a neural network model for estimation of multiple conditional quantiles that satisfies the non-crossing property. Motivated by linear non-crossing quantile regression, we propose a non-crossing quantile neural network model with inequality constraints. In particular, to use the first-order optimization method, we develop a new algorithm for fitting the proposed model. This algorithm gives a nearly optimal solution without the projected gradient step that requires polynomial computation time. We compare the performance of our proposed model with that of existing neural network models on simulated and real precipitation data.
DOI: 10.17632/g6fk45bdvr.1
title: Data for: Melt addition at ridges increases spinel Cr# with no effect on recorded oxygen fugacity

description: Major element and trace element data for mineral phases within peridotites from the Southwest Indian Ridge.
DOI: 10.6084/m9.figshare.13297928
title: Calibration75

description: Reconstructed Micro-CT data-set; Calibration phantom of 0.75 g/cc
DOI: 10.6084/m9.figshare.13297955
title: P0106

description: Reconstructed Micro-CT data-set; 1 day-old, lumbar spine segment, female C57BL/6 mouse
DOI: 10.6084/m9.figshare.13297925
title: Calibration25

description: Reconstructed Micro-CT data-set; Calibration phantom of 0.25 g/cc
DOI: 10.6084/m9.figshare.13297961
title: P0703

description: Reconstructed Micro-CT data-set; 7 day-old, lumbar spine segment, female C57BL/6 mouse
DOI: 10.6084/m9.figshare.13297958
title: P0314

description: Reconstructed Micro-CT data-set; 3 day-old, lumbar spine segment, female C57BL/6 mouse
DOI: 10.6084/m9.figshare.13297964
title: P0315

description: Reconstructed Micro-CT data-set; 3 day-old, lumbar spine segment, female C57BL/6 mouse
DOI: 10.6084/m9.figshare.13297925.v1
title: Calibration25

description: Reconstructed Micro-CT data-set; Calibration phantom of 0.25 g/cc
DOI: 10.6084/m9.figshare.13297967
title: P0307

description: Reconstructed Micro-CT data-set; 3 day-old, lumbar spine segment, female C57BL/6 mouse
DOI: 10.6084/m9.figshare.13297928.v1
title: Calibration75

description: Reconstructed Micro-CT data-set; Calibration phantom of 0.75 g/cc
DOI: 10.6084/m9.figshare.13297958.v1
title: P0314

description: Reconstructed Micro-CT data-set; 3 day-old, lumbar spine segment, female C57BL/6 mouse
DOI: 10.6084/m9.figshare.13297955.v1
title: P0106

description: Reconstructed Micro-CT data-set; 1 day-old, lumbar spine segment, female C57BL/6 mouse
DOI: 10.6084/m9.figshare.13297961.v1
title: P0703

description: Reconstructed Micro-CT data-set; 7 day-old, lumbar spine segment, female C57BL/6 mouse
DOI: 10.6084/m9.figshare.13297964.v1
title: P0315

description: Reconstructed Micro-CT data-set; 3 day-old, lumbar spine segment, female C57BL/6 mouse
DOI: 10.6084/m9.figshare.13297976
title: P0108

description: Reconstructed Micro-CT data-set; 1 day-old, lumbar spine segment, female C57BL/6 mouse
DOI: 10.6084/m9.figshare.13297970
title: P0107

description: Reconstructed Micro-CT data-set; 1 day-old, lumbar spine segment, female C57BL/6 mouse
DOI: 10.6084/m9.figshare.13297973
title: P0105

description: Reconstructed Micro-CT data-set; 1 day-old, lumbar spine segment, female C57BL/6 mouse
DOI: 10.6084/m9.figshare.13297982
title: P0704

description: Reconstructed Micro-CT data-set; 7 day-old, lumbar spine segment, female C57BL/6 mouse
DOI: 10.6084/m9.figshare.13297967.v1
title: P0307

description: Reconstructed Micro-CT data-set; 3 day-old, lumbar spine segment, female C57BL/6 mouse
DOI: 10.6084/m9.figshare.13297973.v1
title: P0105

description: Reconstructed Micro-CT data-set; 1 day-old, lumbar spine segment, female C57BL/6 mouse
DOI: 10.6084/m9.figshare.13297970.v1
title: P0107

description: Reconstructed Micro-CT data-set; 1 day-old, lumbar spine segment, female C57BL/6 mouse
DOI: 10.6084/m9.figshare.13297982.v1
title: P0704

description: Reconstructed Micro-CT data-set; 7 day-old, lumbar spine segment, female C57BL/6 mouse
DOI: 10.6084/m9.figshare.13297976.v1
title: P0108

description: Reconstructed Micro-CT data-set; 1 day-old, lumbar spine segment, female C57BL/6 mouse
DOI: 10.6084/m9.figshare.13297985.v1
title: P1004

description: Reconstructed Micro-CT data-set; 10 day-old, lumbar spine segment, female C57BL/6 mouse
DOI: 10.6084/m9.figshare.13297988
title: P0710

description: Reconstructed Micro-CT data-set; 7 day-old, lumbar spine segment, female C57BL/6 mouse
DOI: 10.6084/m9.figshare.13297991
title: P1005

description: Reconstructed Micro-CT data-set; 10 day-old, lumbar spine segment, female C57BL/6 mouse
DOI: 10.6084/m9.figshare.13297991.v1
title: P1005

description: Reconstructed Micro-CT data-set; 10 day-old, lumbar spine segment, female C57BL/6 mouse
DOI: 10.6084/m9.figshare.13297985
title: P1004

description: Reconstructed Micro-CT data-set; 10 day-old, lumbar spine segment, female C57BL/6 mouse
DOI: 10.6084/m9.figshare.13297988.v1
title: P0710

description: Reconstructed Micro-CT data-set; 7 day-old, lumbar spine segment, female C57BL/6 mouse
DOI: 10.6084/m9.figshare.13298000
title: P1008

description: Reconstructed Micro-CT data-set; 10 day-old, lumbar spine segment, female C57BL/6 mouse
DOI: 10.6084/m9.figshare.13297994
title: P0712

description: Reconstructed Micro-CT data-set; 7 day-old, lumbar spine segment, female C57BL/6 mouse
DOI: 10.6084/m9.figshare.13297997
title: P1408

description: Reconstructed Micro-CT data-set; 14 day-old, lumbar spine segment, female C57BL/6 mouse
DOI: 10.6084/m9.figshare.13298006
title: P1406

description: Reconstructed Micro-CT data-set; 14 day-old, lumbar spine segment, female C57BL/6 mouse
DOI: 10.6084/m9.figshare.13297997.v1
title: P1408

description: Reconstructed Micro-CT data-set; 14 day-old, lumbar spine segment, female C57BL/6 mouse
DOI: 10.6084/m9.figshare.13298003
title: P1402

description: Reconstructed Micro-CT data-set; 14 day-old, lumbar spine segment, female C57BL/6 mouse
DOI: 10.6084/m9.figshare.13297994.v1
title: P0712

description: Reconstructed Micro-CT data-set; 7 day-old, lumbar spine segment, female C57BL/6 mouse
DOI: 10.6084/m9.figshare.13298000.v1
title: P1008

description: Reconstructed Micro-CT data-set; 10 day-old, lumbar spine segment, female C57BL/6 mouse
DOI: 10.6084/m9.figshare.13298012
title: P1409

description: 14 day-old, lumbar spine segment, female C57BL/6 mouse
DOI: 10.6084/m9.figshare.13298003.v1
title: P1402

description: Reconstructed Micro-CT data-set; 14 day-old, lumbar spine segment, female C57BL/6 mouse
DOI: 10.6084/m9.figshare.14140643.v1
title: Log document

description: Log document providing detailed information on the datasets (compare Table 1 of the Scientific Data article).
DOI: 10.6084/m9.figshare.13298009
title: P1006

description: Reconstructed Micro-CT data-set; 10 day-old, lumbar spine segment, female C57BL/6 mouse
DOI: 10.6084/m9.figshare.14140643
title: Log document

description: Log document providing detailed information on the datasets (compare Table 1 of the Scientific Data article).
DOI: 10.6084/m9.figshare.13298012.v1
title: P1409

description: 14 day-old, lumbar spine segment, female C57BL/6 mouse
DOI: 10.6084/m9.figshare.13298009.v1
title: P1006

description: Reconstructed Micro-CT data-set; 10 day-old, lumbar spine segment, female C57BL/6 mouse
DOI: 10.34740/kaggle/dsv/2206036
title: Molecular modelling
DOI: 10.14272/dptojtzvudtpew-uhfffaoysa-n/chmo0000593.1
title: 1H nuclear magnetic resonance spectroscopy (1H NMR) (5-nitrononane-2,8-dione)
title: InChI=1S/C9H15NO4/c1-7(11)3-5-9(10(13)14)6-4-8(2)12/h9H,3-6H2,1-2H3

description: dataset for 1H nuclear magnetic resonance spectroscopy (1H NMR) 1H NMR (500 MHz, CDCl3, ppm) δ = 2.10–2.17 (m, 4H, CH2), 2.18 (s, 6H, CH3), 2.51–2.55 (dt, 2JCH = 2 Hz, 2JCH2 = 7 Hz, 4H, CH2), 4.53–4.58 (m, 1H, CH).
DOI: 10.14272/dptojtzvudtpew-uhfffaoysa-n/chmo0000470
title: mass spectrometry (MS) (5-nitrononane-2,8-dione)
title: InChI=1S/C9H15NO4/c1-7(11)3-5-9(10(13)14)6-4-8(2)12/h9H,3-6H2,1-2H3

description: dataset for mass spectrometry (MS) MS (ESI), m/z (%): 224 (100) [M + Na]+, 155 (61) [M- NO2]+
DOI: 10.14272/dptojtzvudtpew-uhfffaoysa-n/chmo0000595
title: 13C nuclear magnetic resonance spectroscopy (13C NMR) (5-nitrononane-2,8-dione)
title: InChI=1S/C9H15NO4/c1-7(11)3-5-9(10(13)14)6-4-8(2)12/h9H,3-6H2,1-2H3

description: dataset for 13C nuclear magnetic resonance spectroscopy (13C NMR) 13C NMR (125 MHz, CDCl3, ppm) δ = 27.4 (2C, CH2), 30.1 (2C, CH3), 39.0 (2C, CH2), 206.3 (2C, C=O), 86.9 (1C, CNO2).
DOI: 10.14272/dptojtzvudtpew-uhfffaoysa-n/chmo0000593
title: 1H nuclear magnetic resonance spectroscopy (1H NMR) (5-nitrononane-2,8-dione)
title: InChI=1S/C9H15NO4/c1-7(11)3-5-9(10(13)14)6-4-8(2)12/h9H,3-6H2,1-2H3

description: dataset for 1H nuclear magnetic resonance spectroscopy (1H NMR) 1H NMR (500 MHz, CDCl3, ppm) δ = 2.10–2.17 (m, 4H, CH2), 2.18 (s, 6H, CH3), 2.51–2.55 (dt, 2JCH = 2 Hz, 2JCH2 = 7 Hz, 4H, CH2), 4.53–4.58 (m, 1H, CH).
DOI: 10.14272/dptojtzvudtpew-uhfffaoysa-n.1
title: 5-nitrononane-2,8-dione
title: InChI=1S/C9H15NO4/c1-7(11)3-5-9(10(13)14)6-4-8(2)12/h9H,3-6H2,1-2H3

description: This dataset contains experimental data from a sample (5-nitrononane-2,8-dione, InChI=1S/C9H15NO4/c1-7(11)3-5-9(10(13)14)6-4-8(2)12/h9H,3-6H2,1-2H3). The datasets from the following experiments are available: 1H nuclear magnetic resonance spectroscopy (1H NMR) 13C nuclear magnetic resonance spectroscopy (13C NMR) mass spectrometry (MS) 1H nuclear magnetic resonance spectroscopy (1H NMR)
DOI: 10.14272/rukznvunywbtlv-cbapkceasa-n/chmo0000593
title: 1H nuclear magnetic resonance spectroscopy (1H NMR) ()
title: InChI=1S/C9H17NO4/c1-7(11)3-5-9(10(13)14)6-4-8(2)12/h7,9,11H,3-6H2,1-2H3/t7-,9-/m0/s1

description: dataset for 1H nuclear magnetic resonance spectroscopy (1H NMR) 1H NMR (500 MHz, CDCl3, ppm) δ = 1.23 (d, 2J = 6.2 Hz, 3H), 1.36 (s, 1H), 1.42–1.52 (m, 2H), 1.94–2.06 (m, 2H), 2.08–2.170 (m, 2H), 2.18 (s, 3H), 2.46–2.58 (m, 2H), 3.78–3.85 (m, 1H), 4.56 (sept, 2J = 9.3 Hz, 1H).
DOI: 10.14272/rukznvunywbtlv-cbapkceasa-n/chmo0000595
title: 13C nuclear magnetic resonance spectroscopy (13C NMR) ()
title: InChI=1S/C9H17NO4/c1-7(11)3-5-9(10(13)14)6-4-8(2)12/h7,9,11H,3-6H2,1-2H3/t7-,9-/m0/s1

description: dataset for 13C nuclear magnetic resonance spectroscopy (13C NMR) 13C NMR (125 MHz, CDCl3, ppm) δ = 23.9, 27.5, 30.1, 30.5, 35.0, 39.0, 67.5, 88.1, 206.5.
DOI: 10.14272/rukznvunywbtlv-cbapkceasa-n.1
title: (5S,8S)-8-hydroxy-5-nitrononan-2-one
title: InChI=1S/C9H17NO4/c1-7(11)3-5-9(10(13)14)6-4-8(2)12/h7,9,11H,3-6H2,1-2H3/t7-,9-/m0/s1

description: This dataset contains experimental data from a sample (InChI=1S/C9H17NO4/c1-7(11)3-5-9(10(13)14)6-4-8(2)12/h7,9,11H,3-6H2,1-2H3/t7-,9-/m0/s1). The datasets from the following experiments are available: mass spectrometry (MS) 13C nuclear magnetic resonance spectroscopy (13C NMR) 1H nuclear magnetic resonance spectroscopy (1H NMR)
DOI: 10.14272/rukznvunywbtlv-cbapkceasa-n/chmo0000470
title: mass spectrometry (MS) ()
title: InChI=1S/C9H17NO4/c1-7(11)3-5-9(10(13)14)6-4-8(2)12/h7,9,11H,3-6H2,1-2H3/t7-,9-/m0/s1

description: dataset for mass spectrometry (MS) MS (ESI), m/z (%): 226 (100) [M + Na]+, 157 (91) [M - NO2]+
DOI: 10.6084/m9.figshare.14200160
title: Auxillary Table S8.

description: A table containing statistics and other contextual data about the 3640 metagenomic Operational Taxonomic Units (mOTUs), e.g. species-level MAG clusters. Contains the fields: • mOTU_name: ID of the mOTU • mean_ANI: mean of all Average Nucleotide Identity of all the MAGs in the cluster • consensus_tax: predicted consensus taxonomy of the cluster • mean_good_ANI: mean of all ANIs of all the high-quality MAGs (70%+ completeness, &lt;5% redundancy) in the cluster • mean_decent_ANI: mean of all ANIs of all the moderate quality MAGs (40%+ completeness, &lt;5% redundancy) in the cluster • nb_genomes: number of bins in the cluster • nb_good_genomes: number of high quality MAGs (70%+ completeness, &lt;5% contamination) in the cluster • nb_decent_genomes: number of moderate quality MAGs (40%+ completeness, &lt;5% contamination) in the cluster • representative_MAGs: a bin representing the cluster well (very high completeness, very low redundancy)
DOI: 10.6084/m9.figshare.14200157.v1
title: Auxillary Table S1

description: Contextual data of biosamples: Table containing chemical, geographical, and other contextual data about the physical samples collected for this dataset. Contains the fields: • sample_id: name of the sample, corresponds to sample_name in other tables • Run: R[123], the data was sequenced in 3 Illumina NovaSeq runs, this is the ID of the run • site name: name of the location samples (e.g. lake-name, or ID) • Lake_code: short ID for that location • region: geographical region the location is in (), or closes large city • sample_accession: SRA/ENA sample accession to the raw data • assembly_accession: ENA metagenome assembly accession • all other columns correspond to metadata-fields of ENA mostly from ENA-checklist ERC000024, the second row of the table is units corresponding to columns
DOI: 10.6084/m9.figshare.14200145
title: Auxillary Table S2

description: Methods used for analyses of the environmental data.
DOI: 10.6084/m9.figshare.14200157
title: Auxillary Table S1

description: Contextual data of biosamples: Table containing chemical, geographical, and other contextual data about the physical samples collected for this dataset. Contains the fields: • sample_id: name of the sample, corresponds to sample_name in other tables • Run: R[123], the data was sequenced in 3 Illumina NovaSeq runs, this is the ID of the run • site name: name of the location samples (e.g. lake-name, or ID) • Lake_code: short ID for that location • region: geographical region the location is in (), or closes large city • sample_accession: SRA/ENA sample accession to the raw data • assembly_accession: ENA metagenome assembly accession • all other columns correspond to metadata-fields of ENA mostly from ENA-checklist ERC000024, the second row of the table is units corresponding to columns
DOI: 10.6084/m9.figshare.14200160.v1
title: Auxillary Table S8.

description: A table containing statistics and other contextual data about the 3640 metagenomic Operational Taxonomic Units (mOTUs), e.g. species-level MAG clusters. Contains the fields: • mOTU_name: ID of the mOTU • mean_ANI: mean of all Average Nucleotide Identity of all the MAGs in the cluster • consensus_tax: predicted consensus taxonomy of the cluster • mean_good_ANI: mean of all ANIs of all the high-quality MAGs (70%+ completeness, &lt;5% redundancy) in the cluster • mean_decent_ANI: mean of all ANIs of all the moderate quality MAGs (40%+ completeness, &lt;5% redundancy) in the cluster • nb_genomes: number of bins in the cluster • nb_good_genomes: number of high quality MAGs (70%+ completeness, &lt;5% contamination) in the cluster • nb_decent_genomes: number of moderate quality MAGs (40%+ completeness, &lt;5% contamination) in the cluster • representative_MAGs: a bin representing the cluster well (very high completeness, very low redundancy)
DOI: 10.6084/m9.figshare.14200166
title: Auxillary Table S4

description: Data about metagenomic assemblies: A table containing statistics, accession number and other contextual data about the 342 metagenomic assemblies computed for this dataset. Contains the fields: • assembly: name of the assembly, if it is a single-sample assembly, this name is the sample name, else an appropriate name • length: length of the assembly in bases • GC: GC fraction of the assembly • nb_contigs: number of contigs in the assembly • path: relative path to the ".bz2"-compressed assembly, in FASTA-format relative to https://export.uppmax.uu.se/uppstore2018116/stratfreshdb/ • type: single_sample_assembly or coassembly_assembly, if single_sample_assembly only reads for a single sample have been used to assemble this assembly, else reads from multiple biological samples were used to coassemble this coassembly • library: ENA/SRA biosample-identifier of read-libraries used, matches the identifiers in Supp. Table S1 assembly accession: the accession number at ENA. The files are named after the name of the original sample and each of the contigs in the file are named according to the name of the MAG and number of the contig within this MAG.
DOI: 10.6084/m9.figshare.14200163
title: Auxillary Table S3

description: Data about sequenced libraries: table containing statistics, accession number and other contextual data about the actual sequenced libraries, including metagenomic as well as single-cell amplified genome libraries. Contains the fields: • library_identifier: ENA identifier of library • total_spots: number of reads • total_bases: number of nucleotides • total_size: size of the files in bytes • title: unique title of library at SRA/ENA • sample_id: ENA/SRA sample ID • sample_name: name of the sample • library_type: metagenome if it is a metagenome library, SAG if it is the library of a single-cell amplified genome
DOI: 10.6084/m9.figshare.14200169
title: Auxillary Table S5

description: A table containing accession number of a number libraries that had been sequenced previously and have been re-sequenced for this project, in some assemblies, both libraries were used to improved assembly quality
DOI: 10.6084/m9.figshare.14200145.v1
title: Auxillary Table S2

description: Methods used for analyses of the environmental data.
DOI: 10.6084/m9.figshare.14200163.v1
title: Auxillary Table S3

description: Data about sequenced libraries: table containing statistics, accession number and other contextual data about the actual sequenced libraries, including metagenomic as well as single-cell amplified genome libraries. Contains the fields: • library_identifier: ENA identifier of library • total_spots: number of reads • total_bases: number of nucleotides • total_size: size of the files in bytes • title: unique title of library at SRA/ENA • sample_id: ENA/SRA sample ID • sample_name: name of the sample • library_type: metagenome if it is a metagenome library, SAG if it is the library of a single-cell amplified genome
DOI: 10.6084/m9.figshare.14200169.v1
title: Auxillary Table S5

description: A table containing accession number of a number libraries that had been sequenced previously and have been re-sequenced for this project, in some assemblies, both libraries were used to improved assembly quality
DOI: 10.6084/m9.figshare.14200172.v1
title: Auxillary Table S7

description: A table containing statistics, accession numbers and other contextual data about the Single cell Assembled Genomes submitted to ENA. A table with the whole ~500.000 bins generated in this study can be found at the scilifelab-figshare doi:10.17044/scilifelab.13005311. Contains the fields: • bin_id: the unique identifier of a MAG • GC: GC-content of MAG • coding_density: coding-density estimate, e.g. sum of the length of all predicted amino-acid sequences times 3 divided by the length of the genome (in bases) • completeness: estimated completeness computed by CheckM • contamination: estimated redundancy computed by CheckM • strain_heterogeneity: computed by CheckM • length: length in bases of the MAG • nb_contigs: number of contigs in the MAG • nb_proteins: number of predicted proteins encoded in the bin (for the predicted amino-acid sequences in the easy-access repository) • gtdbtk_classification: classification by GTDBtk r89 • sourmash_classification: classification by sourmash using 2 databases, the GTDB (r89), and a database based on our GTDBtk classification • taxonomy: conclusion of the two previous • mOTU: membership to a metagenomic Operational Taxonomic Unit (mOTU), e.g. species level clustering of bins • path: relative path a tar-ball containing nucleotide, CDS- and amino-acid sequences, GFF, eggNOGmapper, and sourmash-signature files. Relative to https://export.uppmax.uu.se/uppstore2018116/stratfreshdb/ • accession: SRA/ENA sample ID of the assembly • genbank_accession: genbank accession number
DOI: 10.6084/m9.figshare.14200166.v1
title: Auxillary Table S4

description: Data about metagenomic assemblies: A table containing statistics, accession number and other contextual data about the 342 metagenomic assemblies computed for this dataset. Contains the fields: • assembly: name of the assembly, if it is a single-sample assembly, this name is the sample name, else an appropriate name • length: length of the assembly in bases • GC: GC fraction of the assembly • nb_contigs: number of contigs in the assembly • path: relative path to the ".bz2"-compressed assembly, in FASTA-format relative to https://export.uppmax.uu.se/uppstore2018116/stratfreshdb/ • type: single_sample_assembly or coassembly_assembly, if single_sample_assembly only reads for a single sample have been used to assemble this assembly, else reads from multiple biological samples were used to coassemble this coassembly • library: ENA/SRA biosample-identifier of read-libraries used, matches the identifiers in Supp. Table S1 assembly accession: the accession number at ENA. The files are named after the name of the original sample and each of the contigs in the file are named according to the name of the MAG and number of the contig within this MAG.
DOI: 10.6084/m9.figshare.14200175.v1
title: Auxillary Table S6

description: A table containing statistics, accession numbers and other contextual data about the 12682 Metagenome Assembled Genomes of moderate and high-quality submitted to ENA (e.g. completeness estimated higher then 40% and redundancy lower then 5%). A table with the whole ~500.000 bins generated in this study can be found at the scilifelab-figshare doi:10.17044/scilifelab.13005311. Contains the fields: • bin_id: the unique identifier of a MAG • GC: GC-content of MAG • coding_density: coding-density estimate, e.g. sum of the length of all predicted amino-acid sequences times 3 divided by the length of the genome (in bases) • completeness: estimated completeness computed by CheckM • contamination: estimated redundancy computed by CheckM • strain_heterogeneity: computed by CheckM • length: length in bases of the MAG • nb_contigs: number of contigs in the MAG • nb_proteins: number of predicted proteins encoded in the bin (for the predicted amino-acid sequences in the easy-access repository) • gtdbtk_classification: classification by GTDBtk r89 • sourmash_classification: classification by sourmash using 2 databases, the GTDB (r89), and a database based on our GTDBtk classification • taxonomy: conclusion of the two previous • mOTU: membership to a metagenomic Operational Taxonomic Unit (mOTU), e.g. species level clustering of bins • path: relative path a tar-ball containing nucleotide, CDS- and amino-acid sequences, GFF, eggNOGmapper, and sourmash-signature files. Relative to https://export.uppmax.uu.se/uppstore2018116/stratfreshdb/ • accession: SRA/ENA sample ID of the assembly • genbank_accession: genbank accession number