cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.5803485
title: Phenotypic dataset from early- and late-flowering pearl millet landraces

description: This phenotypic database is used for phenotype-genotype association analyses in early- and late-flowering pearl millet landraces in Senegal. Data are generated from three field experiments performed in the 2016 rainy season in Senegal and in 2017 in both Niger and Senegal. In Senegal, trials were conducted at the<em> </em>Institut Sénégalais de Recherche Agricole (ISRA) field station in Bambey (14°70′N, -16°47’W). In Niger, the trial was conducted at the International Crops Research Institute for the Semi-Arid Tropics (ICRISAT) field station in Sadoré (13°14′N, 2°17′E). The trials included three repetitions fully randomized. Eight and 10 individuals per accession for each repetition were sown in Niger and Senegal, respectively. Spacing between each hill was 0.9 m × 0.9 m in the Bambey trial, and 1 m × 0.8 m in the Sadoré trial. To avoid side effects, two rows of cultivated pearl millet were used to border the plots. The sowing dates were 2 August 2016, 21 July 2017 in Bambey and 17 July 2017 in Sadoré. The trials were conducted under rainfall conditions with supplementary sprinkler irrigation when necessary. The Eperon fungicide (3.88% metalaxyl-M + 64% mancozeb) was used at the seedling stage to prevent mildew attacks. Thinning was done to two plants per hill two weeks after sowing. All trials were fertilized using the micro-dosing technique (6 g NPK – 15–15–15/hill, corresponding to 93 kg ha<sup>-1</sup>) applied at planting, followed by a 50 kg ha<sup>-1</sup> urea topdressing after thinning. A total of 9,290 plants were phenotyped for 11 traits associated with plant morphology and fitness: heading date (i.e. number of days from sowing to heading), main stem length, main stem diameter, main panicle length, main panicle diameter, main panicle weight, total seed weight and 1,000 seed weight of the main panicle, total number of tillers and total number of productive and non-productive tillers. For each repetition, the mean trait value was calculated from 6.5 individuals on average after elimination of the minimal and maximal measures.
DOI: 10.5281/zenodo.5803484
title: Phenotypic dataset from early- and late-flowering pearl millet landraces

description: This phenotypic database is used for phenotype-genotype association analyses in early- and late-flowering pearl millet landraces in Senegal. Data are generated from three field experiments performed in the 2016 rainy season in Senegal and in 2017 in both Niger and Senegal. In Senegal, trials were conducted at the<em> </em>Institut Sénégalais de Recherche Agricole (ISRA) field station in Bambey (14°70′N, -16°47’W). In Niger, the trial was conducted at the International Crops Research Institute for the Semi-Arid Tropics (ICRISAT) field station in Sadoré (13°14′N, 2°17′E). The trials included three repetitions fully randomized. Eight and 10 individuals per accession for each repetition were sown in Niger and Senegal, respectively. Spacing between each hill was 0.9 m × 0.9 m in the Bambey trial, and 1 m × 0.8 m in the Sadoré trial. To avoid side effects, two rows of cultivated pearl millet were used to border the plots. The sowing dates were 2 August 2016, 21 July 2017 in Bambey and 17 July 2017 in Sadoré. The trials were conducted under rainfall conditions with supplementary sprinkler irrigation when necessary. The Eperon fungicide (3.88% metalaxyl-M + 64% mancozeb) was used at the seedling stage to prevent mildew attacks. Thinning was done to two plants per hill two weeks after sowing. All trials were fertilized using the micro-dosing technique (6 g NPK – 15–15–15/hill, corresponding to 93 kg ha<sup>-1</sup>) applied at planting, followed by a 50 kg ha<sup>-1</sup> urea topdressing after thinning. A total of 9,290 plants were phenotyped for 11 traits associated with plant morphology and fitness: heading date (i.e. number of days from sowing to heading), main stem length, main stem diameter, main panicle length, main panicle diameter, main panicle weight, total seed weight and 1,000 seed weight of the main panicle, total number of tillers and total number of productive and non-productive tillers. For each repetition, the mean trait value was calculated from 6.5 individuals on average after elimination of the minimal and maximal measures.
DOI: 10.34740/kaggle/dsv/2965907
title: Vietnam SARS-CoV-2 | COVID-19 Data
DOI: 10.5281/zenodo.5803556
title: Ulmus americana decontaminated FSCR

description: .
DOI: 10.5281/zenodo.5803555
title: Ulmus americana decontaminated FSCR

description: .
DOI: 10.5281/zenodo.5803567
title: Wirenia argentea decontaminated FSCR

description: .
DOI: 10.5281/zenodo.5803566
title: Wirenia argentea decontaminated FSCR

description: .
DOI: 10.5281/zenodo.5803374
title: Generated RGBD Tracking Benchmarks (Got10K) 6201-6400

description: We convert the existing RGB tracking benchmakrs, eg. Got10K, to RGB+pseudo-Depth tracking benchmarks using DenseDepth or HighResDepth monocular estimation methods. Please visit the Got10K page for the RGB images and the groundtruths.
DOI: 10.5281/zenodo.5803373
title: Generated RGBD Tracking Benchmarks (Got10K) 6201-6400

description: We convert the existing RGB tracking benchmakrs, eg. Got10K, to RGB+pseudo-Depth tracking benchmarks using DenseDepth or HighResDepth monocular estimation methods. Please visit the Got10K page for the RGB images and the groundtruths.
DOI: 10.5281/zenodo.5803368
title: Generated RGBD Tracking Benchmarks (Got10K) 5991-6200

description: We convert the existing RGB tracking benchmakrs, eg. Got10K, to RGB+pseudo-Depth tracking benchmarks using DenseDepth or HighResDepth monocular estimation methods. Please visit the Got10K page for the RGB images and the groundtruths.
DOI: 10.5281/zenodo.5803367
title: Generated RGBD Tracking Benchmarks (Got10K) 5991-6200

description: We convert the existing RGB tracking benchmakrs, eg. Got10K, to RGB+pseudo-Depth tracking benchmarks using DenseDepth or HighResDepth monocular estimation methods. Please visit the Got10K page for the RGB images and the groundtruths.
DOI: 10.5281/zenodo.5803366
title: Generated RGBD Tracking Benchmarks (Got10K) 5801-5990

description: We convert the existing RGB tracking benchmakrs, eg. Got10K, to RGB+pseudo-Depth tracking benchmarks using DenseDepth or HighResDepth monocular estimation methods. Please visit the Got10K page for the RGB images and the groundtruths.
DOI: 10.5281/zenodo.5803365
title: Generated RGBD Tracking Benchmarks (Got10K) 5801-5990

description: We convert the existing RGB tracking benchmakrs, eg. Got10K, to RGB+pseudo-Depth tracking benchmarks using DenseDepth or HighResDepth monocular estimation methods. Please visit the Got10K page for the RGB images and the groundtruths.
DOI: 10.5281/zenodo.5803582
title: Virgularia gustaviana decontaminated FSCR

description: .
DOI: 10.5281/zenodo.5803581
title: Virgularia gustaviana decontaminated FSCR

description: .
DOI: 10.5281/zenodo.5803559
title: Data and code for: Fixed effects or random effects in statistical models? fewer than five levels of a grouping factor

description: This is code (and simulated data from that code) to assess how sample size and the numbers of levels of random effects influence parameter estimates of fixed effects in linear mixed-effects models.
DOI: 10.5281/zenodo.4679100
title: Data and code for: Fixed effects or random effects in statistical models? fewer than five levels of a grouping factor

description: This is code (and simulated data from that code) to assess how sample size and the numbers of levels of random effects influence parameter estimates of fixed effects in linear mixed-effects models.
DOI: 10.5281/zenodo.5803616
title: Ecitoglossa quadriceps decontaminated FSCR

description: .
DOI: 10.5281/zenodo.5803615
title: Ecitoglossa quadriceps decontaminated FSCR

description: .
DOI: 10.5281/zenodo.5803610
title: Cochlefelis danielsi RB0425 decontaminated FSCR

description: .
DOI: 10.5281/zenodo.5803609
title: Cochlefelis danielsi RB0425 decontaminated FSCR

description: .
DOI: 10.5281/zenodo.5803664
title: Pollimyrus plagiostoma decontamination FSCR

description: .
DOI: 10.5281/zenodo.5803663
title: Pollimyrus plagiostoma decontamination FSCR

description: .
DOI: 10.6084/m9.figshare.17284823.v1
title: Supporting data of "Pleiotropic actions of phenothiazine drugs are detrimental to bacterial persister cells" article

description: This data support the paper "Pleiotropic actions of phenothiazine drugs are detrimental to bacterial persister cells"<b></b>
DOI: 10.5281/zenodo.5801765
title: Forcing data, evaluation data, model output and analysis scripts used in LPJ-GUESS/LSM description paper

description: This archive contains: - model_output.tar.gz: Model output<br> - extracted_fluxes.tar.gz: Fluxes extracted from the FLUXNET2015 dataset, used to evaluate the model output<br> - extracted_climate.tar.gz: Climate data extracted from the FLUXNET2015 dataset, used to force the simulations<br> - scripts.tar.gz: Scripts used to analyze the data and produce the results reported in the model description paper The climate forcing data has been extracted from the FLUXNET2015 dataset [1]. Input and output data is stored in netCDF files. Evaluation data is stored in python serialized files (pickle). [1] Pastorello, G., Trotta, C., Canfora, E. <em>et al.</em> The FLUXNET2015 dataset and the ONEFlux processing pipeline for eddy covariance data. <em>Sci Data</em> <strong>7, </strong>225 (2020). https://doi.org/10.1038/s41597-020-0534-3
DOI: 10.6084/m9.figshare.17054060.v1
title: CONSORT Checklist

description: CONSORT Checklist
DOI: 10.5281/zenodo.5800259
title: Data for "SHiELD with GFDL MP Upgrade"

description: This archive contains data relevant to this article "Weather Prediction in SHiELD: Effect from GFDL Cloud Microphysics Scheme Upgrade" by Zhou et al.
DOI: 10.5281/zenodo.5800258
title: Data for "SHiELD with GFDL MP Upgrade"

description: This archive contains data relevant to this article "Weather Prediction in SHiELD: Effect from GFDL Cloud Microphysics Scheme Upgrade" by Zhou et al.
DOI: 10.6084/m9.figshare.17054060
title: CONSORT Checklist

description: CONSORT Checklist
DOI: 10.6084/m9.figshare.17054060.v3
title: CONSORT Checklist

description: CONSORT Checklist
DOI: 10.6084/m9.figshare.17054060.v2
title: CONSORT Checklist

description: CONSORT Checklist
DOI: 10.6084/m9.figshare.17054057
title: Tables

description: Tables
DOI: 10.6084/m9.figshare.17054057.v2
title: Tables

description: Tables
DOI: 10.6084/m9.figshare.17054057.v1
title: Tables

description: Tables
DOI: 10.6084/m9.figshare.17054036
title: Raw data

description: Gait parameters and postural stability raw data
DOI: 10.6084/m9.figshare.17054036.v2
title: Raw data

description: Gait parameters and postural stability raw data
DOI: 10.6084/m9.figshare.17054036.v1
title: Raw data

description: Gait parameters and postural stability raw data
DOI: 10.6084/m9.figshare.17053808
title: Raw Data

description: Demographic characteristics raw data
DOI: 10.6084/m9.figshare.17053808.v2
title: Raw Data

description: Demographic characteristics raw data
DOI: 10.6084/m9.figshare.17053808.v1
title: Raw Data

description: Demographic characteristics raw data
DOI: 10.34740/kaggle/dsv/2966263
title: Cryptocurrency extra data - IOTA
DOI: 10.5281/zenodo.5803708
title: Scolopax minor decontaminated FSCR

description: .
DOI: 10.5281/zenodo.5803707
title: Scolopax minor decontaminated FSCR

description: .
DOI: 10.34740/kaggle/dsv/2966349
title: Cryptocurrency extra data - Maker
DOI: 10.34740/kaggle/dsv/2966352
title: Omicron daily cases by country (COVID-19 variant)
DOI: 10.5281/zenodo.5803795
title: Setophaga kirtlandii decontaminated FSCR

description: .
DOI: 10.5281/zenodo.5803794
title: Setophaga kirtlandii decontaminated FSCR

description: .
DOI: 10.6084/m9.figshare.3761562.v2083
title: Online Labour Index: Measuring the Online Gig Economy for Policy and Research

description: Data repository for the data underlying the Online Labour Index. See http://ilabour.oii.ox.ac.uk online-labour-index/ for details.
DOI: 10.34740/kaggle/dsv/2966428
title: Cryptocurrency extra data - Dogecoin
DOI: 10.34740/kaggle/dsv/2966461
title: US counties COVID 19 dataset
DOI: 10.5281/zenodo.5792600
title: Effective radiative forcing of anthropogenic aerosols in E3SMv1

description: This archive contains processed E3SMv1 simulation data documented the following manuscript: Zhang et al. (2021): Effective radiative forcing of anthropogenic aerosols in E3SMv1: historical changes, causality, decomposition, and parameterization sensitivities. In submission to Atmospheric Chemistry and Physics. The E3SM maint-1.0 code (E3SM github hash 849d9ee, https://github.com/E3SM-Project/E3SM/tree/849d9ee1a4996e7bea9a6dcc53784259d8272ab8) used for nudged simulations was obtained from the E3SM project sponsored by the U.S.Department of Energy, Office of Science, Office of Biological and Environmental Research.
DOI: 10.5281/zenodo.5792599
title: Effective radiative forcing of anthropogenic aerosols in E3SMv1

description: This archive contains processed E3SMv1 simulation data documented the following manuscript: Zhang et al. (2021): Effective radiative forcing of anthropogenic aerosols in E3SMv1: historical changes, causality, decomposition, and parameterization sensitivities. In submission to Atmospheric Chemistry and Physics. The E3SM maint-1.0 code (E3SM github hash 849d9ee, https://github.com/E3SM-Project/E3SM/tree/849d9ee1a4996e7bea9a6dcc53784259d8272ab8) used for nudged simulations was obtained from the E3SM project sponsored by the U.S.Department of Energy, Office of Science, Office of Biological and Environmental Research.
DOI: 10.6073/pasta/b617e57da470302e970eb45560957379
title: Dissolved N2O measurements from the Connecticut River Watershed

description: This dataset supports the paper accepted to Limnology and Oceanography: An intense precipitation event causes a temperate forested drainage network to shift from N2O source to sink Authored by Kelly S. Aho, Jennifer H. Fair, Jacob D. Hosen, Ethan D. Kyzivat, Laura A. Logozzo, Lisa C. Weber, Bryan Yoon, Jay P. Zarnetske, and Peter A. Raymond
DOI: 10.25919/x27q-7w12
title: Parkes observations for project P1050 semester 2021OCTS_12

description: This is a request for observing time for the timing campaign of new pulsar discoveries from the reprocessing of the low-latitude Galactic plane section of the HTRU survey (P630). We have now completed 90 % of the survey with GPU based coherent acceleration search, template bank and fast folding algorithm pipelines, and now have discovered 92 previously unknown pulsars and 8 "class A" pulsars awaiting confirmation. Interesting science can usually only be derived from a new pulsar after confirmation and a follow-up timing campaign is carried out. One year of initial timing is the minimum timespan required to fully characterise any newly-discovered pulsars, essential for deriving pulsar parameters such as the characteristic age, magnetic field strength, spin-down rate, as well as to detect any unexpected behaviour of the pulsar which might result from emission instabilities. Pulsars on the observing list here have been confirmed in the previous and current 2021APRS semesters, the follow-up timing in OCTS2021 will produce completely new and exciting results. In addition, this timing project will allow us to measure the true Galactic plane pulsar population and the boundaries of pulsar parameter space in the galactic plane.
DOI: 10.5517/ccdc.csd.cc27354p
title: CCDC 2058621: Experimental Crystal Structure Determination

description: Related Article: Brett M. Hakey, Dylan C. Leary, Jin Xiong, Caleb F. Harris, Jonathan M. Darmon, Jeffrey L. Petersen, John F. Berry, Yisong Guo, Carsten Milsmann|2021|Inorg.Chem.|60|18575|doi:10.1021/acs.inorgchem.1c01860
DOI: 10.5517/ccdc.csd.cc27txmm
title: CCDC 2080491: Experimental Crystal Structure Determination

description: Related Article: Guguloth Thirupathi, Etikala Ashok, A. Suresh Kumar, Dhevalapally B. Ramachary|2021|Chem.-Eur.J.|27|18033|doi:10.1002/chem.202103254
DOI: 10.5517/ccdc.csd.cc27txnn
title: CCDC 2080492: Experimental Crystal Structure Determination

description: Related Article: Guguloth Thirupathi, Etikala Ashok, A. Suresh Kumar, Dhevalapally B. Ramachary|2021|Chem.-Eur.J.|27|18033|doi:10.1002/chem.202103254
DOI: 10.5517/ccdc.csd.cc27txpp
title: CCDC 2080493: Experimental Crystal Structure Determination

description: Related Article: Guguloth Thirupathi, Etikala Ashok, A. Suresh Kumar, Dhevalapally B. Ramachary|2021|Chem.-Eur.J.|27|18033|doi:10.1002/chem.202103254
DOI: 10.17632/46jfsp6yzf.1
title: Altered Amino acids protects from coronavirus infection based on the serum metabolomic analysis of COVID-19 patients. Siqi Ming

description: This data was obtained by detecting serum metabolites from COVID-19 patients and healthy individuals. Patient information can be found in the article with same name of this data.
DOI: 10.15156/bio/sh1216174.09fu
title: SH1216174.09FU

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/sh1216175.09fu
title: SH1216175.09FU

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/sh1216176.09fu
title: SH1216176.09FU

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/sh1216177.09fu
title: SH1216177.09FU

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/sh1216178.09fu
title: SH1216178.09FU

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/sh1216179.09fu
title: SH1216179.09FU

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.