cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.6759759
title: Harvesting the Value of Data: A Data Architectural Smart Solutions Approach for Enabling Digital Water - Dataset

description: This database includes the test data used to produce the results for the following article: Harvesting the Value of Data: A Data Architectural Smart Solutions Approach for Enabling Digital Water by S. Seshan, D. Vries, M. Zandvoort, A. W. C. van der Helm, J. Poinapen, Smart Water - WaterAge Magazine, February 16-23
DOI: 10.6084/m9.figshare.20160437
title: PKR_primate_tree.txt

description: Phylogenetic tree of PKR from Primates (Fig 1A Jacquet et al 2022)
DOI: 10.6084/m9.figshare.20160437.v1
title: PKR_primate_tree.txt

description: Phylogenetic tree of PKR from Primates (Fig 1A Jacquet et al 2022)
DOI: 10.6078/m75d8q0s
title: Animals in Ancient Greek Literature
DOI: 10.6084/m9.figshare.20160413
title: PKR_chiroptera_codon_aln.fas

description: Alignment of PKRs from Chiroptera (Fig 1 Jacquet et al 2022)
DOI: 10.6084/m9.figshare.20160413.v1
title: PKR_chiroptera_codon_aln.fas

description: Alignment of PKRs from Chiroptera (Fig 1 Jacquet et al 2022)
DOI: 10.6084/m9.figshare.20160410
title: PKR_primate_codon_aln.fas

description: Alignment of PKRs from Primates (Fig 1 Jacquet et al 2022)
DOI: 10.6084/m9.figshare.20160410.v1
title: PKR_primate_codon_aln.fas

description: Alignment of PKRs from Primates (Fig 1 Jacquet et al 2022)
DOI: 10.6084/m9.figshare.20160452
title: PKR_chiroptera_paralogs_tree.txt

description: Phylogenetic tree of PKR paralogs from Chiroptera (Jacquet et al 2022)
DOI: 10.6084/m9.figshare.20160452.v2
title: PKR_chiroptera_paralogs_tree.txt

description: Phylogenetic tree of PKR paralogs from Chiroptera (Jacquet et al 2022)
DOI: 10.6084/m9.figshare.20160452.v1
title: PKR_chiroptera_paralogs_tree.txt

description: Phylogenetic tree of PKR paralogs from Chiroptera (Jacquet et al 2022)
DOI: 10.6084/m9.figshare.20160491
title: Supplementary Material for: Switch from Hemodialysis to Peritoneal Dialysis: Does the Time Spent on Hemodialysis Impact Outcomes in Peritoneal Dialysis?

description: <em><strong>Introduction:</strong></em> Switch from hemodialysis (HD) to peritoneal dialysis (PD) is unfrequent, but incentive strategies to perform PD can lead to an increase of these transitions. However, data on transitioning from HD to PD are scarce. We hypothesized that time spent on HD before transfer to PD would impact PD outcomes. <em><strong>Methods:</strong></em> This registry-based, nationwide study analyzed patients transferred from HD to PD. Patients who began HD between January 2008 and December 2016 were included. Cox and Fine and Gray regression models were used to explore the relationship between time spent on HD before PD and outcomes in PD: PD cessation for death or retransfer to HD (composite endpoint); for death; and for retransfer to HD. <em><strong>Results:</strong></em> Over the study period, 1,985 of the 77,587 HD starters (3%) were transferred to PD. The median time spent on HD before transfer to PD was 1.94 months (interquartile range [IQR] 1.02–4.01). The median survival time on PD after this transition was 20 months (IQR 18–21). Time spent on HD before PD was associated with increased risk of death or retransfer to HD (cause-specific hazard ratio [cs-HR] 1.01, 95% confidence interval [CI]: 1–1.02 for a 1-month increase) and death (cs-HR 1.02, 95% CI: 1.01–1.03) but not with retransfer to HD censored on death (cs-HR 1.00, 95% CI: 0.99–1.01). The results were similar when considering competing events. <em><strong>Discussion/Conclusion:</strong></em> Switch from HD to PD is rare in France. Time spent on HD before transfer is associated with patient survival but not with retransfer to HD.
DOI: 10.6084/m9.figshare.20160491.v1
title: Supplementary Material for: Switch from Hemodialysis to Peritoneal Dialysis: Does the Time Spent on Hemodialysis Impact Outcomes in Peritoneal Dialysis?

description: <em><strong>Introduction:</strong></em> Switch from hemodialysis (HD) to peritoneal dialysis (PD) is unfrequent, but incentive strategies to perform PD can lead to an increase of these transitions. However, data on transitioning from HD to PD are scarce. We hypothesized that time spent on HD before transfer to PD would impact PD outcomes. <em><strong>Methods:</strong></em> This registry-based, nationwide study analyzed patients transferred from HD to PD. Patients who began HD between January 2008 and December 2016 were included. Cox and Fine and Gray regression models were used to explore the relationship between time spent on HD before PD and outcomes in PD: PD cessation for death or retransfer to HD (composite endpoint); for death; and for retransfer to HD. <em><strong>Results:</strong></em> Over the study period, 1,985 of the 77,587 HD starters (3%) were transferred to PD. The median time spent on HD before transfer to PD was 1.94 months (interquartile range [IQR] 1.02–4.01). The median survival time on PD after this transition was 20 months (IQR 18–21). Time spent on HD before PD was associated with increased risk of death or retransfer to HD (cause-specific hazard ratio [cs-HR] 1.01, 95% confidence interval [CI]: 1–1.02 for a 1-month increase) and death (cs-HR 1.02, 95% CI: 1.01–1.03) but not with retransfer to HD censored on death (cs-HR 1.00, 95% CI: 0.99–1.01). The results were similar when considering competing events. <em><strong>Discussion/Conclusion:</strong></em> Switch from HD to PD is rare in France. Time spent on HD before transfer is associated with patient survival but not with retransfer to HD.
DOI: 10.6084/m9.figshare.20160431
title: PKR_chiroptera_paralogs_codon_aln.fas

description: Alignment of PKR paralogs from Chiroptera (Fig 1 Jacquet et al 2022)
DOI: 10.5284/1018086
title: Nottinghamshire Aggregate Resource Assessment
DOI: 10.6084/m9.figshare.20160422
title: PKR_rodentia_codon_aln.fas

description: Alignment of PKRs from Rodentia (Fig 1 Jacquet et al 2022)
DOI: 10.6084/m9.figshare.20160422.v1
title: PKR_rodentia_codon_aln.fas

description: Alignment of PKRs from Rodentia (Fig 1 Jacquet et al 2022)
DOI: 10.6084/m9.figshare.20160443
title: PKR_carnivora_codon_aln_prank.fas

description: Alignment of PKRs from Carnivora (Fig 1 Jacquet et al 2022)
DOI: 10.6084/m9.figshare.20160443.v1
title: PKR_carnivora_codon_aln_prank.fas

description: Alignment of PKRs from Carnivora (Fig 1 Jacquet et al 2022)
DOI: 10.6084/m9.figshare.20160449
title: PKR_artiodactyla_codon_aln.fas

description: Alignment of PKRs from Artiodactyla (Fig 1 Jacquet et al 2022)
DOI: 10.6084/m9.figshare.20160458
title: Complete genome sequence of an uncultivated freshwater Flavobacterium sp.

description: This repository contains information belonging to the manuscript intitled "Complete genome sequence of an uncultivated freshwater Flavobacterium sp.".
DOI: 10.6084/m9.figshare.20160458.v1
title: Complete genome sequence of an uncultivated freshwater Flavobacterium sp.

description: This repository contains information belonging to the manuscript intitled "Complete genome sequence of an uncultivated freshwater Flavobacterium sp.".
DOI: 10.6084/m9.figshare.20160578.v1
title: ps.fungiASV.rar.RDS

description: The soil fungal community was surveyed across a 52-year chronosequence of soil recultivation after open-mining, during two seasons (March-winter, July-summer). The study sites correspond to agricultural fields located within an area of 25 km 2 (6°15’0’ E to 6°21’0’ E and 50°50’5’ N to 50°53’0’ N) of an open-cast lignite mine between Cologne, Aachen, Mönchengladbach, and Düsseldorf. The soil extraction, deposition and recultivation process leads to a chronosequence of fields recultivated from less than one year to fields recultivated for 52 years. During the first three years, fields are permanently covered by alfalfa and never receive artificial fertilisers or biocide treatments (fields recultivated since 2016, 2015, 2014 and 2013, referred to as phase 1). In the following two years, agricultural practises are resumed with barley cropping by RWE Power AG, and a N:P:K (1:0.4:0.6) fertilisation of 437 kg ha−1 a−1 (fields recultivated since 2012 and 2011 referred to as phase 2). Afterwards, fields are returned to farmers and conventionally managed with a crop sequence of winter wheat after sugar beet, one tillage a year to 30 cm depth, and a continuous management practice following area-typical agricultural practice and plant-protection guidelines (fields recultivated since 2006, 1990, 1979, 1971 and 1964, referred to as phase 3). Other agricultural fields that have not yet been subject to extraction were sampled too (referred to as pre-mining phase). The soil fungal community was analyzed with 300 bp paired-end Illumina MiSeq sequencing of ITS2 sequences (primers fITS7: 5′‐GTGARTCATCGAATCTTTG‐3′ / ITS4: 5′‐TCCTCCGCTTATTGATATGC‐3′). ESVs were inferred using DADA2 in R. Taxonomic annotations were performed using the Naive Bayesian Classifier against UNITE (version of 10.05.2021). Raw sequencing reads are available at ENA under study project PRJEB51095. Fungal ESV sequences are available at ENA under accession numbers OV986018-OV989728. The analysed dataset including the OTU count table, OTU taxonomy, and sample metadata is available as a phyloseq object stored in a single .RDS R (in the software R, use readRDS() function). The publication can be found at https://doi.org/10.1007/s00248-022-02058-w.
DOI: 10.6084/m9.figshare.20160587
title: Complete genome sequence of an uncultivated freshwater Flavobacterium sp.

description: This repository contains information belonging to the manuscript intitled "Complete genome sequence of an uncultivated freshwater Flavobacterium sp." 1. Flavobacterium.fasta: Genomic sequence in FASTA format. 2. Flavobacterium_prokka.gbk: Genome annotated by Prokka in Genbank format. 3. Flavobacterium_KO.txt: Proteome annotation with KO numbers in txt format. 4. Flavobacterium_pfam.txt: Proteome annotation with Pfam IDs in txt format.
DOI: 10.6084/m9.figshare.20160587.v1
title: Complete genome sequence of an uncultivated freshwater Flavobacterium sp.

description: This repository contains information belonging to the manuscript intitled "Complete genome sequence of an uncultivated freshwater Flavobacterium sp." 1. Flavobacterium.fasta: Genomic sequence in FASTA format. 2. Flavobacterium_prokka.gbk: Genome annotated by Prokka in Genbank format. 3. Flavobacterium_KO.txt: Proteome annotation with KO numbers in txt format. 4. Flavobacterium_pfam.txt: Proteome annotation with Pfam IDs in txt format.
DOI: 10.23728/fmi-b2share.60eca53148e84c4580c4c8cac6cee3ff
title: Eddy-covariance measurements collected during two austral summers in the Schirmacher oasis, East Antarctica.

description: The data set includes eddy-covariance measurements collected during two field campaigns (2017–2018 and 2019–2020) carried out in the Schirmacher oasis, East Antarctica (70° 45′ S, 11° 44′ E). During the campaigns, the integrated CO2 and H2O open-path gas analyzer and 3-D sonic anemometer Irgason by Campbell Scientific (the serial number 1243) was operated on the shore of two glacial lakes. In the first experiment, the Irgason was deployed on the north-west shore of Lake Zub/Priyadarshini at a distance of 10 m from the coast used from 01.01.2018 to 07.02.2018. The instrument was placed on the aluminium tripod on the height of 2 m, and its sensor was directed toward 137° south-eastwards (SE). The second experiment lasted from 07.12.2019 to 13.01.2020; the Irgason was deployed at a distance of 10 m from the shore of Lake Glubokoe at a height of 1.8 m and the sensor was directed toward 144° south-eastwards (SE).
description: The data are stored in the datafiles with the format given in Irgason_output.pdf; the raw data are packed into the *.dat files (one per day) and then compressed (bz2). The calibration of the Irgason was done 21.08.2017 and 13.11.2019 in the lab of the Finnish Meteorological Institute with standard zero-and-span procedure, and then the instrument was adjusted accordingly. The Irgason joined the inter-calibration campaign carried out in October 2018 in Lake Alqueva (Portugal).
description: The work has received financial support from the Academy of Finland (contract number 304345, PI Timo Vihma); the logistic support of the field campaigns provided by the Finnish Antarctic Research Program and the Russian Antarctic Expedition.
DOI: 10.6084/m9.figshare.20160578
title: ChronoseqITS

description: The soil fungal community was surveyed across a 52-year chronosequence of soil recultivation after open-mining, during two seasons (March-winter, July-summer). The study sites correspond to agricultural fields located within an area of 25 km 2 (6°15’0’ E to 6°21’0’ E and 50°50’5’ N to 50°53’0’ N) of an open-cast lignite mine between Cologne, Aachen, Mönchengladbach, and Düsseldorf. The soil extraction, deposition and recultivation process leads to a chronosequence of fields recultivated from less than one year to fields recultivated for 52 years. During the first three years, fields are permanently covered by alfalfa and never receive artificial fertilisers or biocide treatments (fields recultivated since 2016, 2015, 2014 and 2013, referred to as phase 1). In the following two years, agricultural practises are resumed with barley cropping by RWE Power AG, and a N:P:K (1:0.4:0.6) fertilisation of 437 kg ha−1 a−1 (fields recultivated since 2012 and 2011 referred to as phase 2). Afterwards, fields are returned to farmers and conventionally managed with a crop sequence of winter wheat after sugar beet, one tillage a year to 30 cm depth, and a continuous management practice following area-typical agricultural practice and plant-protection guidelines (fields recultivated since 2006, 1990, 1979, 1971 and 1964, referred to as phase 3). Other agricultural fields that have not yet been subject to extraction were sampled too (referred to as pre-mining phase). The soil fungal community was analyzed with 300 bp paired-end Illumina MiSeq sequencing of ITS2 sequences (primers fITS7: 5′‐GTGARTCATCGAATCTTTG‐3′ / ITS4: 5′‐TCCTCCGCTTATTGATATGC‐3′). ESVs were inferred using DADA2 in R. Taxonomic annotations were performed using the Naive Bayesian Classifier against UNITE (version of 10.05.2021). Raw sequencing reads are available at ENA under study project PRJEB51095. Fungal ESV sequences are available at ENA under accession numbers OV986018-OV989728. The analysed dataset including the ESV count table, ESV taxonomy, and sample metadata is available as a phyloseq object stored in a single .RDS R, as well as ESV guild annotation (in the software R, use readRDS() function). The publication can be found at https://doi.org/10.1007/s00248-022-02058-w.
DOI: 10.6084/m9.figshare.20160578.v3
title: ChronoseqITS

description: The soil fungal community was surveyed across a 52-year chronosequence of soil recultivation after open-mining, during two seasons (March-winter, July-summer). The study sites correspond to agricultural fields located within an area of 25 km 2 (6°15’0’ E to 6°21’0’ E and 50°50’5’ N to 50°53’0’ N) of an open-cast lignite mine between Cologne, Aachen, Mönchengladbach, and Düsseldorf. The soil extraction, deposition and recultivation process leads to a chronosequence of fields recultivated from less than one year to fields recultivated for 52 years. During the first three years, fields are permanently covered by alfalfa and never receive artificial fertilisers or biocide treatments (fields recultivated since 2016, 2015, 2014 and 2013, referred to as phase 1). In the following two years, agricultural practises are resumed with barley cropping by RWE Power AG, and a N:P:K (1:0.4:0.6) fertilisation of 437 kg ha−1 a−1 (fields recultivated since 2012 and 2011 referred to as phase 2). Afterwards, fields are returned to farmers and conventionally managed with a crop sequence of winter wheat after sugar beet, one tillage a year to 30 cm depth, and a continuous management practice following area-typical agricultural practice and plant-protection guidelines (fields recultivated since 2006, 1990, 1979, 1971 and 1964, referred to as phase 3). Other agricultural fields that have not yet been subject to extraction were sampled too (referred to as pre-mining phase). The soil fungal community was analyzed with 300 bp paired-end Illumina MiSeq sequencing of ITS2 sequences (primers fITS7: 5′‐GTGARTCATCGAATCTTTG‐3′ / ITS4: 5′‐TCCTCCGCTTATTGATATGC‐3′). ESVs were inferred using DADA2 in R. Taxonomic annotations were performed using the Naive Bayesian Classifier against UNITE (version of 10.05.2021). Raw sequencing reads are available at ENA under study project PRJEB51095. Fungal ESV sequences are available at ENA under accession numbers OV986018-OV989728. The analysed dataset including the ESV count table, ESV taxonomy, and sample metadata is available as a phyloseq object stored in a single .RDS R, as well as ESV guild annotation (in the software R, use readRDS() function). The publication can be found at https://doi.org/10.1007/s00248-022-02058-w.
DOI: 10.6084/m9.figshare.20160578.v2
title: ChronoseqITS

description: The soil fungal community was surveyed across a 52-year chronosequence of soil recultivation after open-mining, during two seasons (March-winter, July-summer). The study sites correspond to agricultural fields located within an area of 25 km 2 (6°15’0’ E to 6°21’0’ E and 50°50’5’ N to 50°53’0’ N) of an open-cast lignite mine between Cologne, Aachen, Mönchengladbach, and Düsseldorf. The soil extraction, deposition and recultivation process leads to a chronosequence of fields recultivated from less than one year to fields recultivated for 52 years. During the first three years, fields are permanently covered by alfalfa and never receive artificial fertilisers or biocide treatments (fields recultivated since 2016, 2015, 2014 and 2013, referred to as phase 1). In the following two years, agricultural practises are resumed with barley cropping by RWE Power AG, and a N:P:K (1:0.4:0.6) fertilisation of 437 kg ha−1 a−1 (fields recultivated since 2012 and 2011 referred to as phase 2). Afterwards, fields are returned to farmers and conventionally managed with a crop sequence of winter wheat after sugar beet, one tillage a year to 30 cm depth, and a continuous management practice following area-typical agricultural practice and plant-protection guidelines (fields recultivated since 2006, 1990, 1979, 1971 and 1964, referred to as phase 3). Other agricultural fields that have not yet been subject to extraction were sampled too (referred to as pre-mining phase). The soil fungal community was analyzed with 300 bp paired-end Illumina MiSeq sequencing of ITS2 sequences (primers fITS7: 5′‐GTGARTCATCGAATCTTTG‐3′ / ITS4: 5′‐TCCTCCGCTTATTGATATGC‐3′). ESVs were inferred using DADA2 in R. Taxonomic annotations were performed using the Naive Bayesian Classifier against UNITE (version of 10.05.2021). Raw sequencing reads are available at ENA under study project PRJEB51095. Fungal ESV sequences are available at ENA under accession numbers OV986018-OV989728. The analysed dataset including the OTU count table, OTU taxonomy, and sample metadata is available as a phyloseq object stored in a single .RDS R (in the software R, use readRDS() function). The publication can be found at https://doi.org/10.1007/s00248-022-02058-w.
DOI: 10.5281/zenodo.6759849
title: In-network data collection and data processing - Supplementary materials for deliverable D5.1 - EU-H2020 FET project 'Watchplant'

description: Supplementary material for D5.1 - Watchplant. Contains collected dataset from plant experiments with blue and red light stimuli, classification results based on statistical methods, and plots of the recorded electropotentials.
DOI: 10.5281/zenodo.6759848
title: In-network data collection and data processing - Supplementary materials for deliverable D5.1 - EU-H2020 FET project 'Watchplant'

description: Supplementary material for D5.1 - Watchplant. Contains collected dataset from plant experiments with blue and red light stimuli, classification results based on statistical methods, and plots of the recorded electropotentials.
DOI: 10.34740/kaggle/dsv/3869585
title: Play-By-Play Euroleague Basketball 2021-2022
DOI: 10.34740/kaggle/dsv/3869901
title: YouTube Trending Video Dataset (updated daily)
DOI: 10.5517/ccdc.csd.cc26qrk8
title: CCDC 2047660: Experimental Crystal Structure Determination

description: Related Article: Ming Yu Jin, Yali Zhou, Dengmengfei Xiao, Yipeng You, Qianqian Zhen, Guanyu Tao, Peiyuan Yu, Xiangyou Xing|2022|Angew.Chem.,Int.Ed.|61|e202112993|doi:10.1002/anie.202112993
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/ccdc.csd.cc26v1dj
title: CCDC 2050817: Experimental Crystal Structure Determination

description: Related Article: Ming Yu Jin, Yali Zhou, Dengmengfei Xiao, Yipeng You, Qianqian Zhen, Guanyu Tao, Peiyuan Yu, Xiangyou Xing|2022|Angew.Chem.,Int.Ed.|61|e202112993|doi:10.1002/anie.202112993
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/ccdc.csd.cc276s08
title: CCDC 2062089: Experimental Crystal Structure Determination

description: Related Article: Thomas M. Haas, Stefan Wiesler, Tobias Dürr-Mayer, Alexander Ripp, Paraskevi Fouka, Danye Qiu, Henning J. Jessen|2022|Angew.Chem.,Int.Ed.|61|e202113231|doi:10.1002/anie.202113231
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/ccdc.csd.cc287qdn
title: CCDC 2092791: Experimental Crystal Structure Determination

description: Related Article: Teng Liu, Shaofei Ni, Wusheng Guo|2022|Chemical Science|13|6806|doi:10.1039/D2SC02318K
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/ccdc.csd.cc28xl71
title: CCDC 2112843: Experimental Crystal Structure Determination

description: Related Article: Fabian Scharinger, Ádám Márk Pálvölgyi, Melanie Weisz, Matthias Weil, Christian Stanetty, Michael Schnürch, Katharina Bica-Schröder|2022|Angew.Chem.,Int.Ed.|61|e202202189|doi:10.1002/anie.202202189
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.