cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.25574/12034
title: Chandra X-ray Observatory ObsId 12034

description: The Nature of the Soft Component in the Symbiotic Star CH Cygni
DOI: 10.25574/12035
title: Chandra X-ray Observatory ObsId 12035

description: The Nature of the Soft Component in the Symbiotic Star CH Cygni
DOI: 10.25574/12042
title: Chandra X-ray Observatory ObsId 12042

description: New LETGS Observations of Procyon
DOI: 10.25574/12060
title: Chandra X-ray Observatory ObsId 12060

description: High Resolution Spectroscopy of RX J0806.3+1527
DOI: 10.25574/12061
title: Chandra X-ray Observatory ObsId 12061

description: High Resolution Spectroscopy of RX J0806.3+1527
DOI: 10.25574/12064
title: Chandra X-ray Observatory ObsId 12064

description: Monitoring Dynamical Mass Loss from Eta Car with the HETG
DOI: 10.25574/12065
title: Chandra X-ray Observatory ObsId 12065

description: Monitoring Dynamical Mass Loss from Eta Car with the HETG
DOI: 10.25574/12066
title: Chandra X-ray Observatory ObsId 12066

description: Chandra High Resolution Spectroscopy of the Be X-Ray binary A0535+262
DOI: 10.25574/12067
title: Chandra X-ray Observatory ObsId 12067

description: Chandra High Resolution Spectroscopy of the Be X-Ray binary A0535+262
DOI: 10.25574/12068
title: Chandra X-ray Observatory ObsId 12068

description: Deep Chandra Observations of the Black Hole LMC X-1
DOI: 10.25574/12069
title: Chandra X-ray Observatory ObsId 12069

description: Deep Chandra Observations of the Black Hole LMC X-1
DOI: 10.25574/12070
title: Chandra X-ray Observatory ObsId 12070

description: Deep Chandra Observations of the Black Hole LMC X-1
DOI: 10.25574/12071
title: Chandra X-ray Observatory ObsId 12071

description: Deep Chandra Observations of the Black Hole LMC X-1
DOI: 10.25574/12072
title: Chandra X-ray Observatory ObsId 12072

description: Deep Chandra Observations of the Black Hole LMC X-1
DOI: 10.25574/12089
title: Chandra X-ray Observatory ObsId 12089

description: Deep Chandra Observations of the Black Hole LMC X-1
DOI: 10.25574/12090
title: Chandra X-ray Observatory ObsId 12090

description: Deep Chandra Observations of the Black Hole LMC X-1
DOI: 10.25574/12097
title: Chandra X-ray Observatory ObsId 12097

description: The early SSS phase of the Classical Nova KT Eri
DOI: 10.25574/12100
title: Chandra X-ray Observatory ObsId 12100

description: The bright super-supersoft souce phase of KT Eri
DOI: 10.25574/12101
title: Chandra X-ray Observatory ObsId 12101

description: The bright super-supersoft souce phase of KT Eri
DOI: 10.25574/12102
title: Chandra X-ray Observatory ObsId 12102

description: U Sco in outburst
DOI: 10.25574/12103
title: Chandra X-ray Observatory ObsId 12103

description: Investigating the Complexity of NGC 2992 with HETG
DOI: 10.25574/12104
title: Chandra X-ray Observatory ObsId 12104

description: Investigating the Complexity of NGC 2992 with HETG
DOI: 10.25574/12115
title: Chandra X-ray Observatory ObsId 12115

description: The First Test of General Relativity in a Strong Gravitational Field
DOI: 10.25574/12116
title: Chandra X-ray Observatory ObsId 12116

description: The First Test of General Relativity in a Strong Gravitational Field
DOI: 10.25574/12117
title: Chandra X-ray Observatory ObsId 12117

description: The First Test of General Relativity in a Strong Gravitational Field
DOI: 10.25574/12118
title: Chandra X-ray Observatory ObsId 12118

description: The First Test of General Relativity in a Strong Gravitational Field
DOI: 10.25574/12122
title: Chandra X-ray Observatory ObsId 12122

description: AO-11 Calibration Observations of Mkn 421
DOI: 10.25574/12127
title: Chandra X-ray Observatory ObsId 12127

description: X-ray Column Density Towards The Low Mass X-ray Binary 4U 1608-522
DOI: 10.25574/12132
title: Chandra X-ray Observatory ObsId 12132

description: The Chandra LETGS Soft X-ray Spectrum of the White Dwarf GD153
DOI: 10.25574/12133
title: Chandra X-ray Observatory ObsId 12133

description: The Chandra LETGS Soft X-ray Spectrum of the White Dwarf GD153
DOI: 10.25574/12147
title: Chandra X-ray Observatory ObsId 12147

description: SNR E0102 with HETG: A trilogy of roll angles
DOI: 10.25574/12199
title: Chandra X-ray Observatory ObsId 12199

description: ISM Absorption and Broad Line Emission in the Bright Z-Source GX 349+1
DOI: 10.25574/12203
title: Chandra X-ray Observatory ObsId 12203

description: The maturing of the remarkable supersoft source KT Eri
DOI: 10.25574/12206
title: Chandra X-ray Observatory ObsId 12206

description: 2nd Epoch High Resolution Spectra of Cassiopeia A: Plasma Evolution and Doppler Mapping
DOI: 10.25574/12226
title: Chandra X-ray Observatory ObsId 12226

description: X-ray emission mechanism in the Be star HD 42054
DOI: 10.25574/12235
title: Chandra X-ray Observatory ObsId 12235

description: X-ray spectroscopy of Cir X-1 through its transition to an exceptionally hard X-ray state
DOI: 10.6084/m9.figshare.20641239
title: buceros_bicornis_decontaminated_FSCR.fasta.gz

description: .......
DOI: 10.6084/m9.figshare.20641239.v1
title: buceros_bicornis_decontaminated_FSCR.fasta.gz

description: .......
DOI: 10.6084/m9.figshare.20641908
title: buteo_lineatus_zanfona_1.fasta.gz

description: .....
DOI: 10.6084/m9.figshare.20641908.v1
title: buteo_lineatus_zanfona_1.fasta.gz

description: .....
DOI: 10.6084/m9.figshare.20640909
title: Data Base

description: Data base for statistics about Act on dementia project
DOI: 10.5281/zenodo.7023831
title: Noah-MP data for modeling Canadian spring wheat study

description: This zip file contains the simulation results from a Noah-MP crop model for a Canadian spring wheat study. There are two separate folders inside: one for single-point data and one for regional data results. The single-point folder contains three model outputs from the three site-year (2016, 2019SW, 2019SE) and three model treatments (default NoahMP, wheat model, and TAVE for dynamic planting threshold) The regional folder contains the combined agricultural statistics from USDA and StatisCanada (combine_crop_PPR.nc), default wheat model results, and the temperature stress results. Please feel free to contact Dr. Zhe Zhang (zhe.zhang@usask.ca) or Dr. Yanping Li (yanping.li@usask.ca) for further details.
DOI: 10.5281/zenodo.7023830
title: Noah-MP data for modeling Canadian spring wheat study

description: This zip file contains the simulation results from a Noah-MP crop model for a Canadian spring wheat study. There are two separate folders inside: one for single-point data and one for regional data results. The single-point folder contains three model outputs from the three site-year (2016, 2019SW, 2019SE) and three model treatments (default NoahMP, wheat model, and TAVE for dynamic planting threshold) The regional folder contains the combined agricultural statistics from USDA and StatisCanada (combine_crop_PPR.nc), default wheat model results, and the temperature stress results. Please feel free to contact Dr. Zhe Zhang (zhe.zhang@usask.ca) or Dr. Yanping Li (yanping.li@usask.ca) for further details.
DOI: 10.5281/zenodo.7023774
title: Dataset for Estimating the 3D structure of the Enceladus ice shell from flexural and Crary waves

description: Data for the publication "Estimating the 3D structure of the Enceladus ice shell from flexural and Crary waves" Includes sac files for 4 different velocity models at two sources. The naming convention is based on the location of the receiver and the component (e.g.) N85100..XDE is North 85 degree, 100 degrees, East component). Each model also has the outputs of the mineos code which provides the surface wave dispersion.
DOI: 10.5281/zenodo.7023773
title: Dataset for Estimating the 3D structure of the Enceladus ice shell from flexural and Crary waves

description: Data for the publication "Estimating the 3D structure of the Enceladus ice shell from flexural and Crary waves" Includes sac files for 4 different velocity models at two sources. The naming convention is based on the location of the receiver and the component (e.g.) N85100..XDE is North 85 degree, 100 degrees, East component). Each model also has the outputs of the mineos code which provides the surface wave dispersion.
DOI: 10.5281/zenodo.7022459
title: Gene expression counts from induced Pluripotent Stem Cells

description: <strong>File description:</strong> Gene-level counts using the gtf file from the release 34 of GENCODE https://www.gencodegenes.org/human/release_34 Split counts spanning from one exon to another using an annotation-free algorithm, therefore capturing new splice sites Non-split counts covering exon-intron boundaries Sample annotation describing each sample from the dataset Description file with global information from the dataset <strong>Use: </strong>The count matrices are intended to help researchers that are interested in using RNA-Seq data with the purpose of diagnostics. Researchers can merge their own dataset with the downloaded ones, provided the tissue, genome build, strand, and paired-end specifications match. Afterwards, the workflow DROP can be used to compute expression and splicing outliers (https://github.com/gagneurlab/drop). <strong>Maintainer: </strong>Vicente A. Yépez, yepez@in.tum.de <strong>URL:</strong> https://github.com/gagneurlab/drop/ <strong>Title: </strong>induced Pluripotent Stem Cells<br> <strong>Number of samples:</strong> 330<br> <strong>Tissue:</strong> iPSCs<br> <strong>Organism:</strong> Homo sapiens<br> <strong>Genome assembly:</strong> hg19<br> <strong>Gene annotation:</strong> gencode34<br> <strong>Disease:</strong> None<br> <strong>Strand specific:</strong> True<br> <strong>Paired end:</strong> True<br> <strong>Dataset contact:</strong> Marc Bonder, marcj89 at gmail.com <strong>Citation:</strong> Cite both the resource using Zenodo's citation and the publication under References
description: {"references": ["Bonder, M.J., Smail, C., Gloudemans, M.J. et al. Identification of rare and common regulatory variants in pluripotent cells using population-scale transcriptomics. Nat Genet 53, 313\u2013321 (2021). https://doi.org/10.1038/s41588-021-00800-7"]}
DOI: 10.5281/zenodo.7022458
title: Gene expression counts from induced Pluripotent Stem Cells

description: <strong>File description:</strong> Gene-level counts using the gtf file from the release 34 of GENCODE https://www.gencodegenes.org/human/release_34 Split counts spanning from one exon to another using an annotation-free algorithm, therefore capturing new splice sites Non-split counts covering exon-intron boundaries Sample annotation describing each sample from the dataset Description file with global information from the dataset <strong>Use: </strong>The count matrices are intended to help researchers that are interested in using RNA-Seq data with the purpose of diagnostics. Researchers can merge their own dataset with the downloaded ones, provided the tissue, genome build, strand, and paired-end specifications match. Afterwards, the workflow DROP can be used to compute expression and splicing outliers (https://github.com/gagneurlab/drop). <strong>Maintainer: </strong>Vicente A. Yépez, yepez@in.tum.de <strong>URL:</strong> https://github.com/gagneurlab/drop/ <strong>Title: </strong>induced Pluripotent Stem Cells<br> <strong>Number of samples:</strong> 330<br> <strong>Tissue:</strong> iPSCs<br> <strong>Organism:</strong> Homo sapiens<br> <strong>Genome assembly:</strong> hg19<br> <strong>Gene annotation:</strong> gencode34<br> <strong>Disease:</strong> None<br> <strong>Strand specific:</strong> True<br> <strong>Paired end:</strong> True<br> <strong>Dataset contact:</strong> Marc Bonder, marcj89 at gmail.com <strong>Citation:</strong> Cite both the resource using Zenodo's citation and the publication under References
description: {"references": ["Bonder, M.J., Smail, C., Gloudemans, M.J. et al. Identification of rare and common regulatory variants in pluripotent cells using population-scale transcriptomics. Nat Genet 53, 313\u2013321 (2021). https://doi.org/10.1038/s41588-021-00800-7"]}
DOI: 10.6084/m9.figshare.20642826
title: Proximity to natural forest failed to rescue a declining agroforestry tree species

description: <strong>Dataset 1 : vitellaria_demog.csv: </strong>Demographic data for Vitellaria paradoxa for three years (2018-2020) in agroforestry systems around the Pendjari Biosphere reserve in Benin. <br> <strong>Dataset 2: seedling size.csv: </strong>Size of new seedling recored in the population of Vitellaria paradoxa. <br> <strong>Dataset 3: aleza2018PLoS_fruitdbh.csv: </strong>Size dependent fruit production data collected by Aleza et al. (2018) and kindly provided by the authors. <br> Aleza, K., G. B. Villamor, B. K. Nyarko, K. Wala, and K. Akpagana. 2018. Shea (<em>Vitellaria paradoxa</em> Gaertn C. F.) Fruit yield assessment and management by farm households in the Atacora district of Benin. PLOS ONE 13:e0190234. <br> <strong>R Script: vitellariaIPM.R: </strong>R Script detailling the functions fo rthe integral projection modeling.
DOI: 10.25919/msam-qg50
title: Parkes observations for project PX500 semester 2022APRS_31

description: This proposal relates to time purchased by the Chinese Academy of Sciences for Parkes follow-up confirmation and timing of FAST discoveries. As the observing time has been purchased this proposal (and the related PX501) does not require TAC grading. The primary reason for submitting a proposal is to ensure an outreach statement and that the proposal is entered into OPAL for the data archive to access. The Chinese team have two time requests. The time scheduled for the first, relating to this proposal, will be allocated in blocks of 24 hours and the data will become available in the data archive with an 18 month embargo period. The second type of time will be scheduled in shorter blocks and the data archived with a 10 year embargo.
DOI: 10.25919/szh6-mr69
title: Parkes observations for project PX500 semester 2022APRS_30

description: This proposal relates to time purchased by the Chinese Academy of Sciences for Parkes follow-up confirmation and timing of FAST discoveries. As the observing time has been purchased this proposal (and the related PX501) does not require TAC grading. The primary reason for submitting a proposal is to ensure an outreach statement and that the proposal is entered into OPAL for the data archive to access. The Chinese team have two time requests. The time scheduled for the first, relating to this proposal, will be allocated in blocks of 24 hours and the data will become available in the data archive with an 18 month embargo period. The second type of time will be scheduled in shorter blocks and the data archived with a 10 year embargo.
DOI: 10.17909/2n49-hx69
title: JWST Images of the Cartwheel Galaxy
DOI: 10.57745/ncgpmt
title: Données de réplication pour : "Alteration of the gut microbiota's composition and metabolic output correlates with COVID-19-like severity in obese NASH hamsters"

description: This dataset contains all data collected and used for the publication : "Alteration of the gut microbiota’s composition and metabolic output correlates with COVID-19-like severity in obese NASH hamsters". Besides the Readme, it contains 11 files. Excel files with classification (i.e. genes according to their fold induction or repression) are provided. Data include different conditions with varying number of samples per group. Data are structured according to employed methods and then stratify the data obtained within the individual work packages.
DOI: 10.5281/zenodo.6966937
title: Turbulent Wind Gust Prediction ML dataset

description: This dataset is intended as a machine learning dataset, to train a model to predict the occurrence of turbulent wind gusts called "rotors". These are wind gusts happening on the leeward side of mountains. When they occur near an airfield, this can be hazardous from aviation operations. This data is intended to be used with the code on the Met Office Data Science Community of Practice GitHub repository. More Information: MO Data Science Community of Practice GitHub - https://github.com/MetOffice/data_science_cop/tree/master/challenges/2021_falklands_rotors Met Office Youtube - What are rotors? https://www.youtube.com/watch?v=jgSZG9SqN_s What are Lee Waves? https://www.metoffice.gov.uk/weather/learn-about/weather/types-of-weather/wind/lee-waves
DOI: 10.5281/zenodo.6966936
title: UK RSE Conference 2022 Walkthrough - MLOps for RSEs - Sample Data

description: This record is intended as sample data for a Walkthrough at the UK RSE 2022 Conference titled "MLOps for RSEs". The code that uses this sample dataset can be found on GitHub. There are 2 parts based on the sample problems in the walkthrough Classifying wind rotor events Clustering weather regimes <strong>Rotors Dataset</strong> This dataset is intended as a machine learning dataset, to train a model to predict the occurrence of turbulent wind gusts called "rotors". These are wind gusts happening on the leeward side of mountains. When they occur near an airfield, this can be hazardous from aviation operations. This data is intended to be used with the code on the Met Office Data Science Community of Practice GitHub repository. Files: 2021_met_office_aviation_rotors.csv - Raw dataset 2021_met_office_aviation_rotors_preprocessed.csv - Preprocessed dataset ready for machine learning rotors_catalog.yml - Intake Catalog file for the rotors dataset. More Information: MO Data Science Community of Practice GitHub - https://github.com/MetOffice/data_science_cop/tree/master/challenges/2021_falklands_rotors Met Office Youtube - What are rotors? https://www.youtube.com/watch?v=jgSZG9SqN_s What are Lee Waves? https://www.metoffice.gov.uk/weather/learn-about/weather/types-of-weather/wind/lee-waves\ <strong>Weather Regime Clustering</strong> This dataset is a UK and North Atlantic cutout of the Mean Sea-level Pressure (MSLP) field in ERA5 reanalysis dataset produced by ECMWF. This dataset is used for demonstrating an unsupervised learning pipeline. Files: era5_mslp_UK_2017_2020.nc - Gridded dataset of ERA5 reanalysis data.
DOI: 10.5281/zenodo.7022648
title: UK RSE Conference 2022 Walkthrough - MLOps for RSEs - Sample Data

description: This record is intended as sample data for a Walkthrough at the UK RSE 2022 Conference titled "MLOps for RSEs". The code that uses this sample dataset can be found on GitHub. There are 2 parts based on the sample problems in the walkthrough Classifying wind rotor events Clustering weather regimes <strong>Rotors Dataset</strong> This dataset is intended as a machine learning dataset, to train a model to predict the occurrence of turbulent wind gusts called "rotors". These are wind gusts happening on the leeward side of mountains. When they occur near an airfield, this can be hazardous from aviation operations. This data is intended to be used with the code on the Met Office Data Science Community of Practice GitHub repository. Files: 2021_met_office_aviation_rotors.csv - Raw dataset 2021_met_office_aviation_rotors_preprocessed.csv - Preprocessed dataset ready for machine learning rotors_catalog.yml - Intake Catalog file for the rotors dataset. More Information: MO Data Science Community of Practice GitHub - https://github.com/MetOffice/data_science_cop/tree/master/challenges/2021_falklands_rotors Met Office Youtube - What are rotors? https://www.youtube.com/watch?v=jgSZG9SqN_s What are Lee Waves? https://www.metoffice.gov.uk/weather/learn-about/weather/types-of-weather/wind/lee-waves\ <strong>Weather Regime Clustering</strong> This dataset is a UK and North Atlantic cutout of the Mean Sea-level Pressure (MSLP) field in ERA5 reanalysis dataset produced by ECMWF. This dataset is used for demonstrating an unsupervised learning pipeline. Files: era5_mslp_UK_2017_2020.nc - Gridded dataset of ERA5 reanalysis data.
DOI: 10.25574/12295
title: Chandra X-ray Observatory ObsId 12295

description: Detecting the Hot Wind Escaping from the Galactic Center of the Milky Way
DOI: 10.25574/12296
title: Chandra X-ray Observatory ObsId 12296

description: Detecting the Hot Wind Escaping from the Galactic Center of the Milky Way
DOI: 10.25574/12313
title: Chandra X-ray Observatory ObsId 12313

description: Measuring the spin of the black hole Cygnus X-1
DOI: 10.25574/12314
title: Chandra X-ray Observatory ObsId 12314

description: Measuring the spin of the black hole Cygnus X-1
DOI: 10.25574/12320
title: Chandra X-ray Observatory ObsId 12320

description: Comet 103P/Hartley 2 During the EPOXI Spacecraft Encounter
DOI: 10.25574/12321
title: Chandra X-ray Observatory ObsId 12321

description: Comet 103P/Hartley 2 During the EPOXI Spacecraft Encounter
DOI: 10.25574/12322
title: Chandra X-ray Observatory ObsId 12322

description: Comet 103P/Hartley 2 During the EPOXI Spacecraft Encounter
DOI: 10.25574/12324
title: Chandra X-ray Observatory ObsId 12324

description: Exploring the Spectral Type Dependence of Coronal Abundance Anomalies
DOI: 10.25574/12325
title: Chandra X-ray Observatory ObsId 12325

description: Exploring the Spectral Type Dependence of Coronal Abundance Anomalies
DOI: 10.25574/12332
title: Chandra X-ray Observatory ObsId 12332

description: Alpha Cen to the Max
DOI: 10.25574/12351
title: Chandra X-ray Observatory ObsId 12351

description: Magnetic Activity in Very Young O-Stars
DOI: 10.25574/12360
title: Chandra X-ray Observatory ObsId 12360

description: An X-ray Study of The Red Dwarf Next Door: The Long-Term Activity of Proxima Cen
DOI: 10.25574/12401
title: Chandra X-ray Observatory ObsId 12401

description: A luminous nova in outburst
DOI: 10.25574/12405
title: Chandra X-ray Observatory ObsId 12405

description: High Resolution Spectroscopy of a Black Hole Transient
DOI: 10.25574/12444
title: Chandra X-ray Observatory ObsId 12444

description: Search for absorption edges in superexpansion bursts
DOI: 10.25574/12447
title: Chandra X-ray Observatory ObsId 12447

description: X Per: The Template for the Diffuse Interstellar Medium
DOI: 10.25574/12448
title: Chandra X-ray Observatory ObsId 12448

description: Precise Localization of Transient Low-Mass X-ray Binaries
DOI: 10.25574/12450
title: Chandra X-ray Observatory ObsId 12450

description: Precise Localization of Transient Low-Mass X-ray Binaries
DOI: 10.25574/12462
title: Chandra X-ray Observatory ObsId 12462

description: A Long Multiwavelength Study of GRS 1915+105: Accretion/Ejection Physics of the Disk Wind and Radio Jet
DOI: 10.25574/12472
title: Chandra X-ray Observatory ObsId 12472

description: Filling the gap in understanding the wind structure of HDE 226868 / Cyg X-1
DOI: 10.25574/12474
title: Chandra X-ray Observatory ObsId 12474

description: Exposing the symbiosis of 3A 1954+319
DOI: 10.5281/zenodo.7022716
title: Machine Learning Constructs Color Features to Accelerate Development of Long-Term Continuous Water Quality Monitoring

description: This is a machine learning method for predicting the concentration of colored pollutants based on RGB and kmeans methods. This dataset includes raw images of pollutants as well as characteristic data of pollutants, as well as code for the model. You can see the contents of the zip file for details.
DOI: 10.5281/zenodo.7022715
title: Machine Learning Constructs Color Features to Accelerate Development of Long-Term Continuous Water Quality Monitoring

description: This is a machine learning method for predicting the concentration of colored pollutants based on RGB and kmeans methods. This dataset includes raw images of pollutants as well as characteristic data of pollutants, as well as code for the model. You can see the contents of the zip file for details.
DOI: 10.5281/zenodo.5579243
title: Suppression of Spurious Mixing in FWM-based Systems through Mid-Span Pump Phase Shift

description: We propose and demonstrate a new technique to suppress spurious idler generation during four-wave mixing, by applying a 𝜋𝜋 radian phase shift to the pumps at the mid-point of the processing medium.
DOI: 10.5281/zenodo.5579242
title: Suppression of Spurious Mixing in FWM-based Systems through Mid-Span Pump Phase Shift

description: We propose and demonstrate a new technique to suppress spurious idler generation during four-wave mixing, by applying a 𝜋𝜋 radian phase shift to the pumps at the mid-point of the processing medium.