cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.6840748
title: What weather variables are important for wet and slab avalanches under a changing climate in low altitude mountain range in Czechia?

description: datasets and scripts for Avalanche paper figures and<br> avalanche path characteristics: Avalanche_paths_souckova.xlsx<br>
DOI: 10.5281/zenodo.6840749
title: What weather variables are important for wet and slab avalanches under a changing climate in low altitude mountain range in Czechia?

description: Supplementary material 1
DOI: 10.5281/zenodo.7040887
title: What weather variables are important for wet and slab avalanches under a changing climate in low altitude mountain range in Czechia?

description: Supplementary material 1
DOI: 10.6084/m9.figshare.20151770.v1
title: In Planta Transcriptome of Psy and Pta

description: A spreadsheet containing annotations of the type 3 effectors and phytotoxins for two strains of Pseudomonas syringae (from pv. syringae B728a and pv. tabaci 11528)
DOI: 10.5281/zenodo.7041654
title: Multi-faceted metagenomic analysis of spacecraft associated surfaces reveal planetary protection relevant microbial composition

description: Supplemental tables and figures for manuscript titled: "Multi-faceted metagenomic analysis of spacecraft associated surfaces reveal planetary protection relevant microbial composition" <strong>Abstract</strong> NASA has been monitoring the microbial burden of spacecraft since the 1970’s Viking missions. Originally based upon culture-based and then focused 16S sequencing techniques, we have now applied whole metagenomic sequencing of cleanroom samples at the Jet Propulsion Lab (JPL), including the Spacecraft Assembly Facility (SAF) with the goals of taxonomic identification and for functional assignment. Our samples included facility pre-filters, cleanroom vacuum debris, and surface wipes. The taxonomic composition was carried out by three different analysis tools. Hierarchical clustering analysis separated vacuum particles from SAF DNA samples. Vacuum particle samples were the most diverse while DNA samples from the ISO facilities and the SAF were the least diverse; all three were dominated by Proteobacteria. Wipe samples had higher diversity and were predominated by Actinobacteria, including human commensals <em>Cutibacterium acnes</em> and <em>Corynebacterium</em>. Taxa identified by the three methods were not identical, supporting the use of multiple methods for metagenome characterization. Likewise, functional annotation was performed using multiple methods. Vacuum particle and SAF tricarboxylic acid cycle and amino acid biosynthesis suggested that many of the identified microorganisms have the ability to grow in nutrient-limited environments. In total, 18 high quality metagenome assembled genomes were generated and were dominated by <em>Moraxella osloensis</em> or <em>Malassezia restricta</em>. A <em>M. osloensis </em>MAG was assembled into a single circular scaffold and gene annotated. This includes a rigorous quantitative determination of microbial loads, and a qualitative dissection of microbial composition. Genomic assembly led to greater confidence of species identification and their functional roles.
DOI: 10.5281/zenodo.7041653
title: Multi-faceted metagenomic analysis of spacecraft associated surfaces reveal planetary protection relevant microbial composition

description: Supplemental tables and figures for manuscript titled: "Multi-faceted metagenomic analysis of spacecraft associated surfaces reveal planetary protection relevant microbial composition" <strong>Abstract</strong> NASA has been monitoring the microbial burden of spacecraft since the 1970’s Viking missions. Originally based upon culture-based and then focused 16S sequencing techniques, we have now applied whole metagenomic sequencing of cleanroom samples at the Jet Propulsion Lab (JPL), including the Spacecraft Assembly Facility (SAF) with the goals of taxonomic identification and for functional assignment. Our samples included facility pre-filters, cleanroom vacuum debris, and surface wipes. The taxonomic composition was carried out by three different analysis tools. Hierarchical clustering analysis separated vacuum particles from SAF DNA samples. Vacuum particle samples were the most diverse while DNA samples from the ISO facilities and the SAF were the least diverse; all three were dominated by Proteobacteria. Wipe samples had higher diversity and were predominated by Actinobacteria, including human commensals <em>Cutibacterium acnes</em> and <em>Corynebacterium</em>. Taxa identified by the three methods were not identical, supporting the use of multiple methods for metagenome characterization. Likewise, functional annotation was performed using multiple methods. Vacuum particle and SAF tricarboxylic acid cycle and amino acid biosynthesis suggested that many of the identified microorganisms have the ability to grow in nutrient-limited environments. In total, 18 high quality metagenome assembled genomes were generated and were dominated by <em>Moraxella osloensis</em> or <em>Malassezia restricta</em>. A <em>M. osloensis </em>MAG was assembled into a single circular scaffold and gene annotated. This includes a rigorous quantitative determination of microbial loads, and a qualitative dissection of microbial composition. Genomic assembly led to greater confidence of species identification and their functional roles.
DOI: 10.6084/m9.figshare.20362905.v1
title: greenteg-core-thoracic-1Hz

description: Core body temperature measurements of an infant boy, from 3-weeks-old to ... <br> Data was acquired for sessions of 90h (3.5 days) long recordings of core body temperature measured non-invasively using a GreenTEG CORE dual-heat-flux-method thermometer, placed every 2 weeks for the first 6 weeks of life and then once every months. <br> Indeed, this sensor cannot be worn 24/7 as it can cause superficial skin damages and potential organs damages in case it's worn while the infant receives an inertial shock (eg, car accident), hence it is worn only when the infant is at home or carried only in a stroller for the next 3.5 days. Hence, the experiment was designed so that this sensor is used every 2 weeks and then every 1 month to observe the evolution of the core body temperature. <br> These logs need to be concatenated, they each represent a different, distinct session. These recordings were done with the GreenTEG RESEARCH license, allowing for 1Hz sampling resolution recordings.
DOI: 10.6084/m9.figshare.20362896.v1
title: axivity-ax6-ankle

description: 6-axis actigraphic recordings for an infant boy, from 3 weeks-old to ... , worn 24/7. <br> The Axivity AX6 actigraphic device was attached on the ankle, alternatively on the right or left every other weeks to balance the weight equitably on both legs muscles and favor a balanced muscles growth. The attachment system involved a mix of velcro and pressure fasteners on a felt band, see the Wearadian For Infants documentation: <br> https://circadiaware.github.io/wearadian/docs/Wearadian.html#wearadian-for-infants
DOI: 10.3886/e178361
title: Data Repository - Supplementary Materials to Droughts and deforestation: Does seasonality matter? Vaglietti et al. 2022

description: This data repository collects the supporting materials concerning the working paper on deforestation and weather shocks proposed by Vaglietti G., Delacote P., and Leblois A.,(2022), Droughts and deforestation: does seasonality matter?.<br><br> It is constituted of 4 main files: a data paper, a code file, a data file and a shapefile.<br><br>The data paper aims to present the databases used during the analysis and how those have been processed in order to obtain the final results. Moreover, it presents additional databases, which have not been applied in the analysis but may be useful to answer future questions connected to the same topics. In particular, for each database will be provided the main characteristics in terms of data availability, space/temporal coverage as well as the procedure followed to make the data comparable.<br>The results have been then aggregated in a panel dataset used to perform the econometric analysis presented in the paper: the data are here available in .csv format.<br>Lastly is provided a geographic information system data (shapefile) to match the data contained in the .csv with a specific location.<br><br>To reproduce the econometric analysis is also provided a R code recalling the same variables displayed in Vaglietti et al. 2022 (Programming language - R Core Team (2013). R: A language and environment for statistical computing. R Foundation for Statistical Computing, Vienna, Austria).<br>
description: Smallest Geographic Unit: 30 sqkm at the Equator ca.
DOI: 10.3886/e178361v1
title: Data Repository - Supplementary Materials to Droughts and deforestation: Does seasonality matter? Vaglietti et al. 2022

description: This data repository collects the supporting materials concerning the working paper on deforestation and weather shocks proposed by Vaglietti G., Delacote P., and Leblois A.,(2022), Droughts and deforestation: does seasonality matter?.<br><br> It is constituted of 4 main files: a data paper, a code file, a data file and a shapefile.<br><br>The data paper aims to present the databases used during the analysis and how those have been processed in order to obtain the final results. Moreover, it presents additional databases, which have not been applied in the analysis but may be useful to answer future questions connected to the same topics. In particular, for each database will be provided the main characteristics in terms of data availability, space/temporal coverage as well as the procedure followed to make the data comparable.<br>The results have been then aggregated in a panel dataset used to perform the econometric analysis presented in the paper: the data are here available in .csv format.<br>Lastly is provided a geographic information system data (shapefile) to match the data contained in the .csv with a specific location.<br><br>To reproduce the econometric analysis is also provided a R code recalling the same variables displayed in Vaglietti et al. 2022 (Programming language - R Core Team (2013). R: A language and environment for statistical computing. R Foundation for Statistical Computing, Vienna, Austria).<br>
description: Smallest Geographic Unit: 30 sqkm at the Equator ca.
DOI: 10.6084/m9.figshare.20771233
title: 38 plasma cytokine comparison between DAT+ warm autoimmune hemolyic anemia patients vs healthy controls

description: This dataset contains the raw plasma cytokine measurements in EDTA plasma samples from 54 wAIHA patients and 36 healthy controls. Thirty-eight cytokines were analyzed using Luminex® technology with a MILLIPLEX MAP Human Cytokine Magnetic Bead Panel (EMD Millipore) using the HCYTMAG-60K-PX38 kit . Plasma was isolated from EDTA whole blood stored 6 days at 0-4<sup>o</sup>C, and stored at -80<sup>o</sup>C until analsis. This raw dataset is analyzed and described in a Letter published in Blood Advances, 2022.
DOI: 10.6084/m9.figshare.20771233.v1
title: 38 plasma cytokine comparison between DAT+ warm autoimmune hemolyic anemia patients vs healthy controls

description: This dataset contains the raw plasma cytokine measurements in EDTA plasma samples from 54 wAIHA patients and 36 healthy controls. Thirty-eight cytokines were analyzed using Luminex® technology with a MILLIPLEX MAP Human Cytokine Magnetic Bead Panel (EMD Millipore) using the HCYTMAG-60K-PX38 kit . Plasma was isolated from EDTA whole blood stored 6 days at 0-4<sup>o</sup>C, and stored at -80<sup>o</sup>C until analsis. This raw dataset is analyzed and described in a Letter published in Blood Advances, 2022.
DOI: 10.6084/m9.figshare.20455950.v1
title: sleep-diary-sleepmeter-infant

description: Annotated daily sleep diary for an infant boy, from 1.5 months to ... <br> The annotations are non exhaustive and not all sleep sessions were recorded, especially in the first 2 weeks. <br> Each file includes the whole history, hence there is no need to concatenate, just pick the latest one.
DOI: 10.5281/zenodo.5149074
title: Accurate measurement of microsatellite length by disrupting its tandem repeat structure

description: Read, first copy, and template tables for microsatellite data pertaining to the manuscript: "Accurate measurement of microsatellite length by disrupting its tandem repeat structure".
DOI: 10.5281/zenodo.5149075
title: Accurate measurement of microsatellite length by disrupting its tandem repeat structure

description: Read, first copy, and template tables for microsatellite data pertaining to the manuscript: "Accurate measurement of microsatellite length by disrupting its tandem repeat structure".
DOI: 10.34740/kaggle/dsv/4136188
title: UAV images packet loss distortions
DOI: 10.5281/zenodo.7041621
title: Datasets for "A Detection of the Sea Level Fingerprint of Greenland Ice Sheet Melt" Coulson et al., 2022, Science

description: Sea surface height (SSH) change altimetry-derived datasets and model predictions for:<br> "A Detection of the Sea Level Fingerprint of Greenland Ice Sheet Melt", Submitted to Science January 2022. Sophie Coulson, Sönke Dangendorf, Jerry X. Mitrovica, Mark E. Tamisiea, Linda Pan, David T. Sandwell.<br> Email: slcoulson@lanl.gov, sdangendorf1@tulane.edu See README for file details.
DOI: 10.34740/kaggle/dsv/4149229
title: Tales from the Pizza Guy
DOI: 10.6073/pasta/d956fbc4338d6de693c3061c922647aa
title: CDRRC growing season aridity and grazing season vegetation production data

description: Growing season aridity and livestock grazing seasonality can influence biomass production of perennial grasses in dryland systems. For this study, we used a long-term dataset (1967-2004) to investigate the independent and joint effects of growing season aridity (De Martonne aridity index calculated for the months of June through September) and grazing season (yearlong continuous, fall, winter/spring, or summer season grazing) on the mean annual biomass (kg per hectare) of the perennial grasses Bouteloua eriopoda (black grama), Aristida spp. (threeawn), and Sporobolus spp. (dropseed) in a southwestern United States Chihuahuan Desert rangeland system. Biomass data were collected from 78 permanent sampling transects that were within one mile (1609.34 m) distance to water. Over the 37-year study period, total perennial grass biomass decreased as growing season aridity increased, but the extent of this relationship depended upon season of grazing and specific grass taxon. Aridity-related decreases in total perennial grass biomass were most severe in the summer and fall summer seasonal grazing pastures, primarily due to inherently low black grama levels. Our findings indicate that over time, summer and fall grazing can potentially exacerbate the negative effects of increasing aridity on perennial grass biomass.
DOI: 10.25390/caryinstitute.11801052.v49
title: Cary Institute Environmental Monitoring Program Current Year Data 2022

description: The Cary Institute of Ecosystem Studies Environmental Monitoring Program is a long-term data collection program designed to understand how the environment changes over time. The program includes monitoring of climate including temperature and precipitation, as well as variables related to air pollution, such as acid deposition and ozone, and water pollution and other streamwater chemistry. Our solar radiation monitoring includes diffuse and global photosynthetically active radiation (PAR), diffuse and global shortwave radiation, net radiation and UV. Long-term monitoring of solar radiation provides us with an understanding of atmospheric energy dynamics, which can affect natural and human systems. The Cary Institute of Ecosystem Studies, Environmental Monitoring Program furnishes data under the following conditions: The data have received quality assurance scrutiny by our program, and, although we are confident of the accuracy of these data, Cary Institute will not be held liable for errors in these data. Data are subject to change resulting from updates in data screening or models used. Data citation: please click on the Cite button in the Figshare repository.<br>Those wishing to publish data from Cary Institute of Ecosystem Studies, Environmental Monitoring Program are encouraged to contact data manager Vicky Kelly, kellyv@caryinstitute.org.<br>For complete data for previous years and for complete metadata, please see appropriate items for the Cary Institute Environmental Monitoring Program at https://caryinstitute.figshare.com/
DOI: 10.6084/m9.figshare.20081396
title: axivity-ax6-left-forearm-nondominant-v2

description: 6-axis actigraphy (translation and rotation) using Axivity AX6 (similar to AX3 used in UK BioBank), configured with 100Hz sampling frequency, 16bit resolution and 2000dps gyro/rotation. <br> Attached with a velcro to the interior of a cotton wrist band with arrow facing down towards the ground/back when arms are in a natural position along the body, on the left forearm (non-dominant arm). <br> Started acquisition in mid-March 2022 up to March 2023. <br> The difference with the v1 (first year) acquisition is that the device is now worn INSIDE the cotton wrist band, instead of outside, to be more robust against detachment during motion in day-to-day activities, especially outdoors. Hence, the light sensor and ambient temperature sensor should be considered unusuable. <br> Each file represents one acquisition session of about 1 week. Multiple files can be concatenated to study a longer time period.
DOI: 10.6084/m9.figshare.20081396.v2
title: axivity-ax6-left-forearm-nondominant-v2

description: 6-axis actigraphy (translation and rotation) using Axivity AX6 (similar to AX3 used in UK BioBank), configured with 100Hz sampling frequency, 16bit resolution and 2000dps gyro/rotation. <br> Attached with a velcro to the interior of a cotton wrist band with arrow facing down towards the ground/back when arms are in a natural position along the body, on the left forearm (non-dominant arm). <br> Started acquisition in mid-March 2022 up to March 2023. <br> The difference with the v1 (first year) acquisition is that the device is now worn INSIDE the cotton wrist band, instead of outside, to be more robust against detachment during motion in day-to-day activities, especially outdoors. Hence, the light sensor and ambient temperature sensor should be considered unusuable. <br> Each file represents one acquisition session of about 1 week. Multiple files can be concatenated to study a longer time period.
DOI: 10.6084/m9.figshare.20775325
title: Trained Data

description: Training images
DOI: 10.6084/m9.figshare.20775325.v1
title: Trained Data

description: Training images
DOI: 10.6084/m9.figshare.20496231.v1
title: Data associated to the manuscript "Enhanced top-down control of herbivore population growth on plants with impaired defences"

description: Data associated with the manuscript entitled "Enhanced top-down control of herbivore population growth on plants with impaired defences" (2022) Functional Ecology
DOI: 10.5517/ccdc.csd.cc2bqcv9
title: CCDC 2166461: Experimental Crystal Structure Determination

description: Related Article: Mamta Gill, Arko Das, Vinod K. Singh|2022|Org.Lett.|24|5629|doi:10.1021/acs.orglett.2c01438
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.cc2bqz57
title: CCDC 2167029: Experimental Crystal Structure Determination

description: Related Article: Gaozhang Gou, Tao Fan, Man Wang, Liangchun Li|2022|J.Mater.Chem.C|10|12402|doi:10.1039/D2TC01969H
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.cc2br57j
title: CCDC 2167217: Experimental Crystal Structure Determination

description: Related Article: Gaozhang Gou, Tao Fan, Man Wang, Liangchun Li|2022|J.Mater.Chem.C|10|12402|doi:10.1039/D2TC01969H
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.cc2br5kv
title: CCDC 2167227: Experimental Crystal Structure Determination

description: Related Article: Gaozhang Gou, Tao Fan, Man Wang, Liangchun Li|2022|J.Mater.Chem.C|10|12402|doi:10.1039/D2TC01969H
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.cc2br5lw
title: CCDC 2167228: Experimental Crystal Structure Determination

description: Related Article: Gaozhang Gou, Tao Fan, Man Wang, Liangchun Li|2022|J.Mater.Chem.C|10|12402|doi:10.1039/D2TC01969H
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.cc2brm5x
title: CCDC 2167649: Experimental Crystal Structure Determination

description: Related Article: Joanna M. Urban, Abdelaziz Jouaiti, Nathalie Gruber, Géraud Delport, Gaëlle Trippé-Allard, Jean-François Guillemoles, Emmanuelle Deleporte, Sylvie Ferlay, Damien Garrot|2022|J.Mater.Chem.C|10|12436|doi:10.1039/D2TC02040H
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.cc2brm6y
title: CCDC 2167650: Experimental Crystal Structure Determination

description: Related Article: Joanna M. Urban, Abdelaziz Jouaiti, Nathalie Gruber, Géraud Delport, Gaëlle Trippé-Allard, Jean-François Guillemoles, Emmanuelle Deleporte, Sylvie Ferlay, Damien Garrot|2022|J.Mater.Chem.C|10|12436|doi:10.1039/D2TC02040H
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.cc2brm7z
title: CCDC 2167651: Experimental Crystal Structure Determination

description: Related Article: Joanna M. Urban, Abdelaziz Jouaiti, Nathalie Gruber, Géraud Delport, Gaëlle Trippé-Allard, Jean-François Guillemoles, Emmanuelle Deleporte, Sylvie Ferlay, Damien Garrot|2022|J.Mater.Chem.C|10|12436|doi:10.1039/D2TC02040H
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.