cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.7769558
title: Landsat based peak NDVI image Year 2013 Tile 11

description: Landsat based peak NDVI image Year 2013 Tile 11
DOI: 10.6084/m9.figshare.7769561.v2
title: Landsat based peak NDVI image Year 1992 Tile 12

description: Landsat based peak NDVI image Year 1992 Tile 12
DOI: 10.6084/m9.figshare.7769564.v2
title: Landsat based peak NDVI image Year 1994 Tile 12

description: Landsat based peak NDVI image Year 1994 Tile 12
DOI: 10.6084/m9.figshare.7769567.v2
title: Landsat based peak NDVI image Year 1991 Tile 12

description: Landsat based peak NDVI image Year 1991 Tile 12
DOI: 10.6084/m9.figshare.19387442.v3
title: Murray et al 2022 - Antibacterial effects of propolis and brood comb extracts on the causative agent of European Foulbrood (Melissococcus plutonius) in honey bees (Apis mellifera) - Supplemental Data and Figures

description: "Murray et al 2022 - Suppl. data": OD<sub>600</sub> readings of wells containing bacteria and treatment (od) or bacteria and solvent (od_solvent) at the mid-growth phase (tmid; as determined by a standard growth control) over a 12-hour period. The difference between these two OD600 readings was recorded (od_diff) to account for the bacterial inhibition by the 70% ethanol solvent. Controls for each replicate included the aforementioned solvent control (solv.ctrl), untreated standard growth control (avg.std), and a positive control of antibiotic oxytetracycline hydrochloride (avg.otc). Each treatment extract was subject to a series of eight two-fold dilutions. Diluted treatments are indicated by numbers, where honey.1 would be the crude extract and honey.8 would be the most dilute. <br> "Murray et al 2022 - ecoli analysis; ssaprophyticus analysis; mplutonius analysis": R scripts for MIC analysis of honey comb extract, brood comb extract, and propolis ectract on three bacterial species: E. coli, S. saprophyticus, and M. plutonius. <br> "Raw data" zip files: Zip files for each bacterium tested. Files contain raw data for all 96-well plates in which bacteria were treated with honey comb extract, brood comb extract, or propolis extract. Files also contain associated R scripts in which the mid-log phase was determined for each plate. <br> "Murray et al 2022 - Suppl. - Ecoli; Ssaprophyticus; Mplutonius raw curves": Each pdf file contains raw growth curves for either E. coli, S. saprophyticus, or M. plutonius when treated with honey comb extract, brood com extract, propolis extract, as well as controls (positive control, solvent control, standard growth control, and sterility control).
DOI: 10.5281/zenodo.7158673
title: corythoichthys_haematopterus_zanfona_1.fasta.gz

description: .
DOI: 10.5281/zenodo.7158672
title: corythoichthys_haematopterus_zanfona_1.fasta.gz

description: .
DOI: 10.5517/ccdc.csd.cc27w5my
title: CCDC 2081700: Experimental Crystal Structure Determination

description: Related Article: Magdalena Malik, Anna Świtlicka, Alina Bieńko, Urszula K. Komarnicka, Dariusz C. Bieńko, Sandra Kozieł, Agnieszka Kyzioł, Tomasz Mazur, Barbara Machura|2022|RSC Advances|12|27648|doi:10.1039/D2RA05133H
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.cc27w5nz
title: CCDC 2081701: Experimental Crystal Structure Determination

description: Related Article: Magdalena Malik, Anna Świtlicka, Alina Bieńko, Urszula K. Komarnicka, Dariusz C. Bieńko, Sandra Kozieł, Agnieszka Kyzioł, Tomasz Mazur, Barbara Machura|2022|RSC Advances|12|27648|doi:10.1039/D2RA05133H
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.cc27w5p0
title: CCDC 2081702: Experimental Crystal Structure Determination

description: Related Article: Magdalena Malik, Anna Świtlicka, Alina Bieńko, Urszula K. Komarnicka, Dariusz C. Bieńko, Sandra Kozieł, Agnieszka Kyzioł, Tomasz Mazur, Barbara Machura|2022|RSC Advances|12|27648|doi:10.1039/D2RA05133H
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.cc29bwfz
title: CCDC 2125621: Experimental Crystal Structure Determination

description: Related Article: Magdalena Malik, Anna Świtlicka, Alina Bieńko, Urszula K. Komarnicka, Dariusz C. Bieńko, Sandra Kozieł, Agnieszka Kyzioł, Tomasz Mazur, Barbara Machura|2022|RSC Advances|12|27648|doi:10.1039/D2RA05133H
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.cc2b727x
title: CCDC 2151748: Experimental Crystal Structure Determination

description: Related Article: Andrej Emanuel Cotman, Pavel A. Dub, Maša Sterle, Matic Lozinšek, Jaka Dernovšek, Živa Zajec, Anamarija Zega, Tihomir Tomašič, Dominique Cahard|2022|ACS Org. Inorg. Au|2|396|doi:10.1021/acsorginorgau.2c00019
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.cc2b728y
title: CCDC 2151749: Experimental Crystal Structure Determination

description: Related Article: Andrej Emanuel Cotman, Pavel A. Dub, Maša Sterle, Matic Lozinšek, Jaka Dernovšek, Živa Zajec, Anamarija Zega, Tihomir Tomašič, Dominique Cahard|2022|ACS Org. Inorg. Au|2|396|doi:10.1021/acsorginorgau.2c00019
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.cc2b729z
title: CCDC 2151750: Experimental Crystal Structure Determination

description: Related Article: Andrej Emanuel Cotman, Pavel A. Dub, Maša Sterle, Matic Lozinšek, Jaka Dernovšek, Živa Zajec, Anamarija Zega, Tihomir Tomašič, Dominique Cahard|2022|ACS Org. Inorg. Au|2|396|doi:10.1021/acsorginorgau.2c00019
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.cc2b72b0
title: CCDC 2151751: Experimental Crystal Structure Determination

description: Related Article: Andrej Emanuel Cotman, Pavel A. Dub, Maša Sterle, Matic Lozinšek, Jaka Dernovšek, Živa Zajec, Anamarija Zega, Tihomir Tomašič, Dominique Cahard|2022|ACS Org. Inorg. Au|2|396|doi:10.1021/acsorginorgau.2c00019
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.cc2b72c1
title: CCDC 2151752: Experimental Crystal Structure Determination

description: Related Article: Andrej Emanuel Cotman, Pavel A. Dub, Maša Sterle, Matic Lozinšek, Jaka Dernovšek, Živa Zajec, Anamarija Zega, Tihomir Tomašič, Dominique Cahard|2022|ACS Org. Inorg. Au|2|396|doi:10.1021/acsorginorgau.2c00019
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.cc2b72d2
title: CCDC 2151753: Experimental Crystal Structure Determination

description: Related Article: Andrej Emanuel Cotman, Pavel A. Dub, Maša Sterle, Matic Lozinšek, Jaka Dernovšek, Živa Zajec, Anamarija Zega, Tihomir Tomašič, Dominique Cahard|2022|ACS Org. Inorg. Au|2|396|doi:10.1021/acsorginorgau.2c00019
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.cc2b72f3
title: CCDC 2151754: Experimental Crystal Structure Determination

description: Related Article: Andrej Emanuel Cotman, Pavel A. Dub, Maša Sterle, Matic Lozinšek, Jaka Dernovšek, Živa Zajec, Anamarija Zega, Tihomir Tomašič, Dominique Cahard|2022|ACS Org. Inorg. Au|2|396|doi:10.1021/acsorginorgau.2c00019
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.cc2b72g4
title: CCDC 2151755: Experimental Crystal Structure Determination

description: Related Article: Andrej Emanuel Cotman, Pavel A. Dub, Maša Sterle, Matic Lozinšek, Jaka Dernovšek, Živa Zajec, Anamarija Zega, Tihomir Tomašič, Dominique Cahard|2022|ACS Org. Inorg. Au|2|396|doi:10.1021/acsorginorgau.2c00019
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.cc2bbzk7
title: CCDC 2155509: Experimental Crystal Structure Determination

description: Related Article: Andrej Emanuel Cotman, Pavel A. Dub, Maša Sterle, Matic Lozinšek, Jaka Dernovšek, Živa Zajec, Anamarija Zega, Tihomir Tomašič, Dominique Cahard|2022|ACS Org. Inorg. Au|2|396|doi:10.1021/acsorginorgau.2c00019
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: 10.18434/mds2-2787
title: cmomy: A python package to calculate and manipulate Central (co)moments.
DOI: 10.18434/mds2-2800
title: analphipy: A python package to analyze pair-potential metrics.
DOI: 10.5281/zenodo.6452104
title: Code and data used in "A Tool for Air Pollution Scenarios (TAPS v1.0) to enable global, long-term, and flexible study of climate and air quality policies"

description: Data and code for Tool for Air Pollution Scenarios (TAPS v1.0) as submitted to Geoscientific Model Development. See the enclosed README and full user manual (https://github.com/watkin-mit/TAPS/wiki) for more information.
DOI: 10.5281/zenodo.6452103
title: Code and data used in "A Tool for Air Pollution Scenarios (TAPS v1.0) to enable global, long-term, and flexible study of climate and air quality policies"

description: Data and code for Tool for Air Pollution Scenarios (TAPS v1.0) as submitted to Geoscientific Model Development for publication. See the enclosed README and full user manual (https://github.com/watkin-mit/TAPS/wiki) for more information.
description: We have re-uploaded the full directory (after fixing figure labels) for user convenience.
DOI: 10.5281/zenodo.7020746
title: Code and data used in "A Tool for Air Pollution Scenarios (TAPS v1.0) to enable global, long-term, and flexible study of climate and air quality policies"

description: Data and code for Tool for Air Pollution Scenarios (TAPS v1.0) as submitted to Geoscientific Model Development (revision). See the enclosed README and full user manual (https://github.com/watkin-mit/TAPS/wiki) for more information.
description: The attached files have been edited for the GMD revision. To use with the full repository (https://doi.org/10.5281/zenodo.6452104), kindly replace the corresponding original files with the revisions here.
DOI: 10.5281/zenodo.7158380
title: Code and data used in "A Tool for Air Pollution Scenarios (TAPS v1.0) to enable global, long-term, and flexible study of climate and air quality policies"

description: Data and code for Tool for Air Pollution Scenarios (TAPS v1.0) as submitted to Geoscientific Model Development for publication. See the enclosed README and full user manual (https://github.com/watkin-mit/TAPS/wiki) for more information.
description: We have re-uploaded the full directory (after fixing figure labels) for user convenience.
DOI: 10.18434/mds2-2785
title: tmmc-lnpy:  A python package to analyze Transition Matrix Monte Carlo lnPi data.
DOI: 10.5281/zenodo.7158731
title: juncus_effusus_zanfona_1.fasta.gz

description: .
DOI: 10.5281/zenodo.7158730
title: juncus_effusus_zanfona_1.fasta.gz

description: .
DOI: 10.6084/m9.figshare.21298413
title: Thermophysical properties of FLiBe using moment tensor potentials

description: This collection contains a series of input files and data sets related to the article: <br> Thermophysical properties of FLiBe using moment tensor potentials, Journal of Molecular Liquids, 2022
DOI: 10.15482/usda.adc/1528074
title: Weighing Lysimeter Data for The Bushland, Texas Sunflower Datasets

description: This dataset consists of two years of weighing lysimeter data for sunflower grown at the USDA-ARS Conservation and Production Laboratory (CPRL), Soil and Water Management Research Unit (SWMRU), Bushland, Texas (Lat. 35.186714°, Long. -102.094189°, elevation 1170 m above MSL) in 2009 and 2011. Sunflower was grown on two large, precision weighing lysimeters, each in the center of a 4.44 ha square field. The weighing lysimeters were used to measure mass, which was converted to relative soil water storage with 0.05 mm accuracy at 5-minute intervals, and the 5-minute change in soil water storage was used along with precipitation and irrigation amounts to calculate crop evapotranspiration (ET), which is reported at 15-minute intervals. Although a quality control process was used, the ET data in this dataset are considered raw data. Advanced algorithms for detection of precipitation, dew and frost were applied in a separate process to determine ET values that are reported in files in a dataset entitled "Evapotranspiration and Water Balance Data for The Bushland, Texas Sunflower Datasets". Those files have "water-balance" in their names. Each lysimeter was equipped with a suite of instruments to sense wind speed, air temperature and relative humidity, components of the radiation balance (e.g., net radiation, incoming and reflected shortwave, photosynthetically active radiation (PAR), incoming and reflected longwave, thermal infrared emitted by the plant/soil surface), soil heat flux, soil temperature, and soil volumetric water content at certain depths. Not all properties were always sensed in any one year; and instruments used changed from season to season, which are reasons that subsidiary datasets and data dictionaries for each season are required.
These datasets originate from research aimed at determining crop water use (ET), crop coefficients for use in ET-based irrigation scheduling based on a reference ET, crop growth, yield, harvest index, and crop water productivity as affected by irrigation method, timing, amount (full or some degree of deficit), agronomic practices, cultivar, and weather. Prior publications have focused on sunflower ET, crop coefficients, crop water productivity, and simulation modeling of crop growth, water use, and yield. Crop coefficients have been used by ET networks. The data have utility for testing simulation models of crop ET, growth, and yield and have been used by both USDA and university researchers.
DOI: 10.18434/mds2-2710
title: Primary measurement of gaseous elemental mercury concentration with a dynamic range of six decades
DOI: 10.5517/ccdc.csd.cc2c1jts
title: CCDC 2176225: Experimental Crystal Structure Determination

description: Related Article: Vilmali Lopez-Mejias, Lesly Y. Carmona-Sarabia, Andrea M. Escalera Joy, Darilys Mojica Vazquez|2021|U.S.Patents|||
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: 10.22003/xfel.eu-data-003063-00
title: Melting and partial melting of iron and iron alloys under planetary cores conditions
DOI: 10.22003/xfel.eu-data-003481-00
title: Laser-induced structural dynamics studied by X-ray standing waves (derived from 3143)
DOI: 10.22003/xfel.eu-data-003076-00
title: Kinetics of structural phase transitions in bismuth compressed in the dynamic-diamond anvil cell (dDAC)
DOI: 10.5281/zenodo.6349279
title: High resolution shotgun metagenomics: the more data, the better?

description: This data archive contains results generated using a high resolution shotgun metagenomics (HRSM) bioinformatic pipeline (ShotgunMG - https://jtremblay.github.io/shotgunmg.html) for the following two projects: PRJNA588513 and PRJNA513362. These analyses were performed in the context of evaluating if shallow shotgun metagenomic sequencing is an adequate approach to analyze SM sequencing data using a HRSM pipeline. Briefly, these two PRJNA projects were analyzed using identical bioinformatic procedures, but using various initial raw sequencing data loads. Notable end results in each archive includes: de novo co-assembly (fasta files), contigs and genes abubance matrices. Beta-diversity (Bray-Curtis dissimilarity matrices), alpha diversity (richness, chao1, Simpson and Shannon indexes matrices), taxonomic summaries from the kingdom to up to the species level and Metagenome Assembled Genomes (MAGs).
description: This dataset is link to the scientific manuscript entitled: High resolution shotgun metagenomics: the more data, the better? commands.tar.gz : contains all commands for a complete analysis of a given workflow type. Includes software versioning. export_antarctic_microbiome.tar.gz : contains all key results of every workflow related to the antarctic dataset. export_human_gut_microbiome.tar.gz : contains all key results of every workflow related to the human dataset.
DOI: 10.5281/zenodo.7158759
title: High resolution shotgun metagenomics: the more data, the better?

description: This data archive contains results generated using a high resolution shotgun metagenomics (HRSM) bioinformatic pipeline (ShotgunMG - https://jtremblay.github.io/shotgunmg.html) for the following projects: Human gut microbiome dataset: PRJNA588513 Antarctic soil dataset: PRJNA513362 Agricultural soil dataset: PRJNA513362 Mock communities: PRJNA873699 These analyses were performed in the context of evaluating if shallow shotgun metagenomic sequencing is an adequate approach to analyze SM sequencing data using a HRSM pipeline. Briefly, these PRJNA projects were analyzed using identical bioinformatic procedures, but using various initial raw sequencing data loads. Notable end results in each archive includes: de novo co-assembly (fasta files), contigs and genes abubance matrices. Beta-diversity (Bray-Curtis dissimilarity matrices), alpha diversity (richness, chao1, Simpson and Shannon indexes matrices), taxonomic summaries from the kingdom to up to the species level and Metagenome Assembled Genomes (MAGs).
description: This dataset is link to the scientific manuscript entitled: High resolution shotgun metagenomics: the more data, the better? commands.tar.gz : contains all commands for a complete analysis of a given workflow type. Includes software versioning. export_antarctic_microbiome.tar.gz : contains all key results of every workflow related to the antarctic dataset. export_human_gut_microbiome.tar.gz : contains all key results of every workflow related to the human dataset.
DOI: 10.5281/zenodo.6349278
title: High resolution shotgun metagenomics: the more data, the better?

description: This data archive contains results generated using a high resolution shotgun metagenomics (HRSM) bioinformatic pipeline (ShotgunMG - https://jtremblay.github.io/shotgunmg.html) for the following projects: Human gut microbiome dataset: PRJNA588513 Antarctic soil dataset: PRJNA513362 Agricultural soil dataset: PRJNA513362 Mock communities: PRJNA873699 These analyses were performed in the context of evaluating if shallow shotgun metagenomic sequencing is an adequate approach to analyze SM sequencing data using a HRSM pipeline. Briefly, these PRJNA projects were analyzed using identical bioinformatic procedures, but using various initial raw sequencing data loads. Notable end results in each archive includes: de novo co-assembly (fasta files), contigs and genes abubance matrices. Beta-diversity (Bray-Curtis dissimilarity matrices), alpha diversity (richness, chao1, Simpson and Shannon indexes matrices), taxonomic summaries from the kingdom to up to the species level and Metagenome Assembled Genomes (MAGs).
description: This dataset is link to the scientific manuscript entitled: High resolution shotgun metagenomics: the more data, the better? commands.tar.gz : contains all commands for a complete analysis of a given workflow type. Includes software versioning. export_antarctic_microbiome.tar.gz : contains all key results of every workflow related to the antarctic dataset. export_human_gut_microbiome.tar.gz : contains all key results of every workflow related to the human dataset.
DOI: 10.6084/m9.figshare.3761562.v2364
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.