cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.17632/wjz42h3xsg.1
title: Leak-Free Head-Out Plethysmography System Dataset

description: Dataset collected using leak-free head-out plethysmography system and corresponding software to assess lung function in mice. Variables collected are inspiratory/expiratory volume (pressure change associated with movement of the ribcage), inspiratory/expiratory time, enhanced pause (Penh; dimensionless variable supposed to indicate shape of waveform of each breath), mid-expiratory flow (EF50; flow rate at 50% expiratory volume), end-inspiratory pause (pause in flow occurring at end of inspiration), and end-inspiratory pause and expiratory time (added pause & expiratory time). We assessed both tidal breathing and response to methacholine in adult male mice before and after sensitization with house dust mite (HDM). We started by collecting a five-minute baseline measurement then exposed mice to increasing concentrations of nebulized methacholine dissolved in PBS at time zero (0, 25, 50, 100 mg/ml; exposure 30 seconds; rate 0.191 ml/30 seconds). Mice were allowed to recover in between each dose of methacholine. Tidal breathing reported as an average of all baseline measurements. Response to methacholine reported as the difference from the averaged baseline measurement prior to giving methacholine.  The response to methacholine is reported as both 1 minute rolling averages every 30 seconds from time -5 to 10 minutes and as the minimum or maximum 30 second average for each variable within 10 minutes post methacholine exposure. Finally, in male and female mice aged 6 and 18 months we collected a 10-minute tidal breathing measurement and calculated the average over the 10 minutes for each variable. With this dataset we validated the use of our head-out plethysmography system to assess alterations in lung function associated with exposure to the bronchoconstrictor methacholine, house dust mite sensitization, age, and sex.
DOI: 10.21233/jrd8-j071
title: Pastos Grandes diatom surface sample dataset

description: Raw data for the Pastos Grandes diatom surface sample dataset obtained from the Neotoma Paleoecology Database.
DOI: 10.21233/apvp-jm39
title: Pastos Grandes diatom surface sample dataset

description: Raw data for the Pastos Grandes diatom surface sample dataset obtained from the Neotoma Paleoecology Database.
DOI: 10.21233/ktat-6f10
title: Liten Cap’pesjav’ri loss-on-ignition dataset

description: Raw data for the Liten Cap’pesjav’ri loss-on-ignition dataset obtained from the Neotoma Paleoecology Database.
DOI: 10.21233/d73q-6954
title: Liten Cap’pesjav’ri pollen dataset

description: Raw data for the Liten Cap’pesjav’ri pollen dataset obtained from the Neotoma Paleoecology Database.
DOI: 10.21233/596x-by72
title: Over Gunnarsfjorden plant macrofossil dataset

description: Raw data for the Over Gunnarsfjorden plant macrofossil dataset obtained from the Neotoma Paleoecology Database.
DOI: 10.21233/cs4m-c685
title: Lake S40 water chemistry dataset

description: Raw data for the Lake S40 water chemistry dataset obtained from the Neotoma Paleoecology Database.
DOI: 10.21233/1tjw-qt91
title: Lake HW02 water chemistry dataset

description: Raw data for the Lake HW02 water chemistry dataset obtained from the Neotoma Paleoecology Database.
DOI: 10.17632/ptfdxhs6bs.1
title: PCR primers used in the manuscript ‘Molecular characterisation and in vitro three-method antifungal susceptibility testing of some Prototheca isolates from Chinese patients’

description: PCR primers used in the manuscript ‘Molecular characterisation and in vitro three-method antifungal susceptibility testing of some Prototheca isolates from Chinese patients’
DOI: 10.21233/a485-7685
title: Keuka Lake water chemistry dataset

description: Raw data for the Keuka Lake water chemistry dataset obtained from the Neotoma Paleoecology Database.
DOI: 10.21233/qeen-dx77
title: South Rhody peatland plant macrofossil dataset

description: Raw data for the South Rhody peatland plant macrofossil dataset obtained from the Neotoma Paleoecology Database.
DOI: 10.21227/7n5m-az07
title: Emotional message-exchanges during 18 crisis events

description: This dataset is a set of eighteen directed networks that represents message exchanges among Twitter accounts during eighteen crisis events. The dataset comprises 645,339 anonymized unique user IDs and 1,396,709 edges that are labeled with respect to Plutchik's basic emotions (anger, fear, sadness, disgust, joy, trust, anticipation, and surprise) or "neutral" (if a tweet conveys no emotion).
DOI: 10.5281/zenodo.4147239
title: The Genome sequences of Calonectria ilicicola (anamorph Cylindrocladium parasiticum) causing Cylindrocladium black rot of peanut and red crown rot of soybean

description: The fungus <em>Calonectria ilicicola</em> (anamorph <em>Cylindrocladium parasiticum</em>) is an important plant pathogen causing Cylindrocladium black rot (CBR) on peanut and Red crown rot (RCR) on soybean. CBR infection of peanuts cause symptoms such as chlorosis of leaves, blackening of taproots, and wilting, while RCR infection of soybeans lead to root and interveinal necrosis of soybean. In the present study, we sequenced the genome of four CBR-related<em> Ca. ilicicola</em> strains and three RCR-related<em> Ca. ilicicola</em> strains. The draft genome of <em>Ca. ilicicola</em>, ranged from 68.63 Mb to 70.35 Mb in genome size, containing 18536 to 19361 protein-coding genes. The described genome sequences will provide insights into factors that contribute to pathogenicity toward peanut and soybean and will be useful for future research in population genomics and molecular diagnostic marker development to quickly detect this pathogen.
DOI: 10.5281/zenodo.4147238
title: The Genome sequences of Calonectria ilicicola (anamorph Cylindrocladium parasiticum) causing Cylindrocladium black rot of peanut and red crown rot of soybean

description: The fungus <em>Calonectria ilicicola</em> (anamorph <em>Cylindrocladium parasiticum</em>) is an important plant pathogen causing Cylindrocladium black rot (CBR) on peanut and Red crown rot (RCR) on soybean. CBR infection of peanuts cause symptoms such as chlorosis of leaves, blackening of taproots, and wilting, while RCR infection of soybeans lead to root and interveinal necrosis of soybean. In the present study, we sequenced the genome of four CBR-related<em> Ca. ilicicola</em> strains and three RCR-related<em> Ca. ilicicola</em> strains. The draft genome of <em>Ca. ilicicola</em>, ranged from 68.63 Mb to 70.35 Mb in genome size, containing 18536 to 19361 protein-coding genes. The described genome sequences will provide insights into factors that contribute to pathogenicity toward peanut and soybean and will be useful for future research in population genomics and molecular diagnostic marker development to quickly detect this pathogen.
DOI: 10.5281/zenodo.4147296
title: Earthquakes with Moho depth

description: List of earthquake with their time, location and magnitude and the Moho depth referred to the earthquake location
DOI: 10.5281/zenodo.4147295
title: Earthquakes with Moho depth

description: List of earthquake with their time, location and magnitude and the Moho depth referred to the earthquake location
DOI: 10.5517/ccdc.csd.cc243pcb
title: CCDC 1969751: Experimental Crystal Structure Determination

description: Related Article: Alexey V. Kletskov, Anastasya D. Zatykina, Mariya V. Grudova, Anna A. Sinelshchikova, Mikhail S. Grigoriev, Vladimir P. Zaytsev, Diego M. Gil, Roman A. Novikov, Fedor I. Zubkov, Antonio Frontera|2020|Org.Biomol.Chem.|18|8386|doi:10.1039/D0OB01201G
DOI: 10.5517/ccdc.csd.cc243pdc
title: CCDC 1969752: Experimental Crystal Structure Determination

description: Related Article: Alexey V. Kletskov, Anastasya D. Zatykina, Mariya V. Grudova, Anna A. Sinelshchikova, Mikhail S. Grigoriev, Vladimir P. Zaytsev, Diego M. Gil, Roman A. Novikov, Fedor I. Zubkov, Antonio Frontera|2020|Org.Biomol.Chem.|18|8386|doi:10.1039/D0OB01201G
DOI: 10.5517/ccdc.csd.cc243pfd
title: CCDC 1969753: Experimental Crystal Structure Determination

description: Related Article: Alexey V. Kletskov, Anastasya D. Zatykina, Mariya V. Grudova, Anna A. Sinelshchikova, Mikhail S. Grigoriev, Vladimir P. Zaytsev, Diego M. Gil, Roman A. Novikov, Fedor I. Zubkov, Antonio Frontera|2020|Org.Biomol.Chem.|18|8386|doi:10.1039/D0OB01201G
DOI: 10.5517/ccdc.csd.cc243pgf
title: CCDC 1969754: Experimental Crystal Structure Determination

description: Related Article: Alexey V. Kletskov, Anastasya D. Zatykina, Mariya V. Grudova, Anna A. Sinelshchikova, Mikhail S. Grigoriev, Vladimir P. Zaytsev, Diego M. Gil, Roman A. Novikov, Fedor I. Zubkov, Antonio Frontera|2020|Org.Biomol.Chem.|18|8386|doi:10.1039/D0OB01201G
DOI: 10.5517/ccdc.csd.cc243phg
title: CCDC 1969755: Experimental Crystal Structure Determination

description: Related Article: Alexey V. Kletskov, Anastasya D. Zatykina, Mariya V. Grudova, Anna A. Sinelshchikova, Mikhail S. Grigoriev, Vladimir P. Zaytsev, Diego M. Gil, Roman A. Novikov, Fedor I. Zubkov, Antonio Frontera|2020|Org.Biomol.Chem.|18|8386|doi:10.1039/D0OB01201G
DOI: 10.5517/ccdc.csd.cc243pjh
title: CCDC 1969756: Experimental Crystal Structure Determination

description: Related Article: Alexey V. Kletskov, Anastasya D. Zatykina, Mariya V. Grudova, Anna A. Sinelshchikova, Mikhail S. Grigoriev, Vladimir P. Zaytsev, Diego M. Gil, Roman A. Novikov, Fedor I. Zubkov, Antonio Frontera|2020|Org.Biomol.Chem.|18|8386|doi:10.1039/D0OB01201G
DOI: 10.5517/ccdc.csd.cc243pkj
title: CCDC 1969757: Experimental Crystal Structure Determination

description: Related Article: Alexey V. Kletskov, Anastasya D. Zatykina, Mariya V. Grudova, Anna A. Sinelshchikova, Mikhail S. Grigoriev, Vladimir P. Zaytsev, Diego M. Gil, Roman A. Novikov, Fedor I. Zubkov, Antonio Frontera|2020|Org.Biomol.Chem.|18|8386|doi:10.1039/D0OB01201G
DOI: 10.5281/zenodo.4139694
title: LimnoSat-US: A Remote Sensing Dataset for U.S. Lakes from 1984-2020

description: LimnoSat-US is an analysis-ready remote sensing database that includes reflectance values spanning 36 years for 56,792 lakes across &gt; 328,000 Landsat scenes. The database comes pre-processed with cross-sensor standardization and the effects of clouds, cloud shadows, snow, ice, and macrophytes removed. In total, it contains over 22 million individual lake observations with an average of 393 +/- 233 (mean +/- standard deviation) observations per lake over the 36 year period. The data and code contained within this repository are as follows: <em>HydroLakes_DP.shp: </em>A shapefile containing the deepest points for all U.S. lakes within HydroLakes. For more information on the deepest point see https://doi.org/10.5281/zenodo.4136754 and Shen et al (2015). <em>LakeExport.py</em>: Python code to extract reflectance values for U.S. lakes from Google Earth Engine. <em>GEE_pull_functions.py: </em>Functions called within LakeExport.py <em>01_LakeExtractor.Rmd:</em> An R Markdown file that takes the raw data from LakeExport.py and processes it for the final database. <em>SceneMetadata.csv:</em> A file containing additional information such as scene cloud cover and sun angle for all Landsat scenes within the database. Can be joined to the final database using LandsatID. <em>srCorrected_us_hydrolakes_dp_20200628: </em>The final LimnoSat-US database containing all cloud free observations of U.S. lakes from 1984-2020. Missing values for bands not shared between sensors (Aerosol and TIR2) are denoted by -99. dWL is the dominant wavelength calculated following Wang et al. (2015). pCount_dswe1 represents the number of high confidence water pixels within 120 meters of the deepest point. pCount_dswe3 represents the number of vegetated water pixels within 120 meters and can be used as a flag for potential reflectance noise. All reflectance values represent the median value of high confidence water pixels within 120 meters. The final database is provided in both as a .csv and .feather formats. It can be linked to SceneMetadata.cvs using LandsatID. All reflectance values are derived from USGS T1-SR Landsat scenes.
description: {"references": ["Shen, Z., Yu, X., Sheng, Y., Li, J., & Luo, J. (2015). A Fast Algorithm to Estimate the Deepest Points of Lakes for Regional Lake Registration. PLOS ONE, 10(12), e0144700. https://doi.org/10.1371/journal.pone.0144700", "Wang, S., Li, J., Shen, Q., Zhang, B., Zhang, F., & Lu, Z. (2015). MODIS-Based radiometric color extraction and classification of inland water with the forel-ule scale: A case study of lake Taihu. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 8(2), 907\u2013918. https://doi.org/10.1109/JSTARS.2014.2360564"]}
DOI: 10.5517/ccdc.csd.cc243plk
title: CCDC 1969758: Experimental Crystal Structure Determination

description: Related Article: Alexey V. Kletskov, Anastasya D. Zatykina, Mariya V. Grudova, Anna A. Sinelshchikova, Mikhail S. Grigoriev, Vladimir P. Zaytsev, Diego M. Gil, Roman A. Novikov, Fedor I. Zubkov, Antonio Frontera|2020|Org.Biomol.Chem.|18|8386|doi:10.1039/D0OB01201G
DOI: 10.5517/ccdc.csd.cc24bdxt
title: CCDC 1976216: Experimental Crystal Structure Determination

description: Related Article: Sudipta Ponra, Jianping Yang, Haibo Wu, Wangchuk Rabten, Pher G. Andersson|2020|Chemical Science|11|11189|doi:10.1039/D0SC04032K
description: Related Article: Jianping Yang|2020|CSD Communication|||
DOI: 10.5517/ccdc.csd.cc24c4d2
title: CCDC 1976913: Experimental Crystal Structure Determination

description: Related Article: Petr Matouš, Michal Kadaník, Marek Timoracký, Jiří Kuneš, Jana Maříková, Aleš Růžička, Pavel Kočovský, Milan Pour|2020|Org.Chem.Front.|7|3356|doi:10.1039/D0QO00653J
DOI: 10.5522/04/12344135.v3
title: A Rapid Review and Meta-Analysis of the Asymptomatic Proportion of PCR-Confirmed SARS-CoV-2 Infections in Community Settings

description: Meta-analysis dataset for the following article: A Rapid Review and Meta-Analysis of the Asymptomatic Proportion of PCR-Confirmed SARS-CoV-2 Infections in Community Settings.<br>These CSV format data enable the calculation of a pooled asymptomatic proportion of PCR-confirmed COVID-19 cases based on available studies (n=21) with methodologically-appropriate design to detect and identify truly asymptomatic cases. The asymptomatic proportion is given as the number of asymptomatic PCR-confirmed infections over the total number of PCR-confirmed infections.<br>The file also includes the completed PRISMA checklist for this review.
DOI: 10.5522/04/12344135
title: A Rapid Review and Meta-Analysis of the Asymptomatic Proportion of PCR-Confirmed SARS-CoV-2 Infections in Community Settings

description: Meta-analysis dataset for the following article: A Rapid Review and Meta-Analysis of the Asymptomatic Proportion of PCR-Confirmed SARS-CoV-2 Infections in Community Settings.<br>These CSV format data enable the calculation of a pooled asymptomatic proportion of PCR-confirmed COVID-19 cases based on available studies (n=21) with methodologically-appropriate design to detect and identify truly asymptomatic cases. The asymptomatic proportion is given as the number of asymptomatic PCR-confirmed infections over the total number of PCR-confirmed infections.<br>The file also includes the completed PRISMA checklist for this review.
DOI: 10.25828/rwtx-mn87
title: Early Grade Reading Study II 2017, Wave 1
DOI: 10.25828/p3t4-k951
title: Early Grade Reading Study II 2017, Wave 2
DOI: 10.17037/data.00001852
title: Extended Data - UK’s fruit and vegetable supply increasingly dependent on imports from climate-vulnerable producing countries.

description: Extended Data used for the analyses of the Nature Food paper: Scheelbeek et al 2020 - UK’s fruit and vegetable supply increasingly dependent on imports from climate-vulnerable producing countries.
DOI: 10.6084/m9.figshare.13014314
title: Variation data of pan-genome in 1913-based allotetraploid cottons

description: <b>Variation data of pan-genome in 1913-based allotetraploid cottons</b>The variome data sets (SNPs, InDels, SVs. CNVs) in 1,913 cotton accessions, non-reference genome sequences and annotated genes of <i>G. hirsutum </i>and <i>G. barbadense</i> pan-genome.1. The SNPs, InDels calls in hapmap format of 1,913 cotton accession cottons.2. The SVs and CNVs in VCF format 742 cotton accessions.3. The non-reference genome sequences and gene annotations of <i>G. hirsutum </i>and<i> </i><i>G. barbadense</i> accessions.4. Gene number and presence frequency in <i>G. hirsutum </i>and<i> </i><i>G. barbadense </i>pan-genomes.
DOI: 10.6084/m9.figshare.13014314.v4
title: Variation data of pan-genome in 1913-based allotetraploid cottons

description: <b>Variation data of pan-genome in 1913-based allotetraploid cottons</b>The variome data sets (SNPs, InDels, SVs. CNVs) in 1,913 cotton accessions, non-reference genome sequences and annotated genes of <i>G. hirsutum </i>and <i>G. barbadense</i> pan-genome.1. The SNPs, InDels calls in hapmap format of 1,913 cotton accession cottons.2. The SVs and CNVs in VCF format 742 cotton accessions.3. The non-reference genome sequences and gene annotations of <i>G. hirsutum </i>and<i> </i><i>G. barbadense</i> accessions.4. Gene number and presence frequency in <i>G. hirsutum </i>and<i> </i><i>G. barbadense </i>pan-genomes.
DOI: 10.6084/m9.figshare.13014314.v3
title: Variation data of pan-genome of 1913-based allotetraploid cottons

description: <b>Variation data of pan-genome of 1913-based allotetraploid cottons</b>The variome data sets (SNPs, InDels, SVs. CNVs) in 1,913 cotton accessions, non-reference genome sequences and annotated genes of <i>G. hirsutum </i>and <i>G. barbadense</i> pan-genome.1. The SNPs, InDels calls in hapmap format of 1,913 cotton accession cottons.2. The SVs and CNVs in VCF format 742 cotton accessions.3. The non-reference genome sequences and gene annotations of <i>G. hirsutum </i>and<i> </i><i>G. barbadense</i> accessions.4. Gene number and presence frequency in <i>G. hirsutum </i>and<i> </i><i>G. barbadense </i>pan-genomes.
DOI: 10.6084/m9.figshare.13153928.v1
title: Dataset README from Host behaviour alteration by its parasite: from brain gene expression to functional test

description: Many parasites with complex life cycles modify their intermediate hosts' behaviour, presumably to increase transmission to their final host. The threespine stickleback (<i>Gasterosteus aculeatus</i>) is an intermediate host in the cestode <i>Schistocephalus solidus</i> life cycle, which ends in an avian host, and shows increased risky behaviours when infected. We studied brain gene expression profiles of sticklebacks infected with <i>S. solidus</i> to determine the proximal causes of these behavioural alterations. We show that infected fish have altered expression levels in genes involved in the inositol pathway. We thus tested the functional implication of this pathway and successfully rescued normal behaviours in infected sticklebacks using lithium exposure. We also show that exposed but uninfected fish have a distinct gene expression profile from both infected fish and control individuals, allowing us to separate gene activity related to parasite exposure from consequences of a successful infection. Finally, we find that Selective Serotonin Reuptake Inhibitor-treated sticklebacks and infected fish do not have similarly altered gene expression, despite their comparable behaviours, suggesting that the serotonin pathway is probably not the main driver of phenotypic changes in infected sticklebacks. Taken together, our results allow us to predict that if <i>S. solidus</i> directly manipulates its host, it could target the inositol pathway.
DOI: 10.25828/yczq-az61
title: Early Grade Reading Study II 2018, Wave 3
DOI: 10.25828/h109-3y92
title: Early Grade Reading Study II 2019, Wave 4
DOI: 10.5281/zenodo.4147335
title: Extracted patterns about transport from the French Great National Debate (Grand Débat National)

description: This data set is composed by 4 geojson files, that can be used to generate maps of mainland France : motifs_all.geojson : pattern about transport extracted from contributions of the French Great National Debate (Grand Débat National). Original dataset : https://granddebat.fr/pages/donnees-ouvertes bikeway_fr.geojson and railroad_fr.geojson : cycleways and railways of mainland France, from Open Street Map. Original dataset : https://download.geofabrik.de/europe/france.html trainstations.geojson : train stations and halts of mainland France, from Open Street Map. Original dataset : https://download.geofabrik.de/europe/france.html aires_urbaines.geojson : urban areas of mainland France. Original dataset : https://www.insee.fr/fr/information/2115011 communesimportantes.geojson : the main cities of mainland France The data set is in French. <em>Ce jeu de données est composé de 4 fichiers geojson qui peuvent être utilisés pour générer des cartes en France métropolitaine :</em> <em>motifs_all.geojson : motifs à propos du transport extraient des contributions en ligne au Grand Débat National. Jeu de données d'origine : https://granddebat.fr/pages/donnees-ouvertes</em> <em>bikeway_fr.geojson and railroad_fr.geojson : pistes cyclables et voies ferrées en France métropolitaine, venant d'Open Street Map. Jeu de données d'origine : https://download.geofabrik.de/europe/france.html</em> <em>trainstations.geojson : gares et petites gares en France métropolitaine, from Open Street Map. Original dataset : https://download.geofabrik.de/europe/france.html</em> <em>aires_urbaines.geojson : aires urbaines en France métropolitaine, définies par l'INSEE. Jeu de données d'origine : https://www.insee.fr/fr/information/2115011</em> <em>communesimportantes.geojson : principales villes de France métropolitaine</em>
DOI: 10.5066/p9odbtrv
title: Carbon, nitrogen, and phosphorus content of adult emergent Diptera before and after a fire-storm sequence in the Colorado River near Shinumo Creek, Grand Canyon, AZ

description: This dataset includes total phosphorus (TP), total nitrogen (TN), and total carbon (TC) concentrations as well as &amp;delta;15N and &amp;delta;13C composition, and overall C:N:P stoichiometry for adult emergent Diptera from the Colorado River, Grand Canyon, AZ. The samples were collected before and after a fire and subsequent storm occurred in the Shinumo Watershed, a tributary to the Colorado River in Northern Arizona. Diptera specimens were collected via light traps placed on the banks of the Colorado River 25 miles above and 25 miles below Shinumo Creek (river miles 85-135) between 2013 and 2015. This data series contains Diptera TP concentrations (in mg P per mg Diptera) for 44 samples from 11 location/date combinations. We also report TN and TC concentrations (in mg TN or TC per mg Diptera) and &amp;delta;15N and &amp;delta;13C for 9 single samples. Average TC, TN, and TP concentrations were then compared for 8 date/location combinations to estimate C:N:P stoichiometry of Diptera samples.
DOI: 10.21223/6trc9t/trqsdf
title: DataDictionary_ElementDescription.xlsx

description: :unav
DOI: 10.21223/6trc9t/3rkj54
title: DataDictionary_UniqueIdentifier.xlsx

description: :unav
DOI: 10.21223/6trc9t/xb7xap
title: PTLate blight092014_OXAPMP_exp8.tab

description: :unav
DOI: 10.21223/6trc9t/glkr1k
title: PTLate blight092014_OXAPMP_exp8.tab

description: :unav
DOI: 10.21223/6trc9t
title: Dataset for: Trait Observation Network (TON) Panel Advanced potato clones

description: Panel evaluation for resistance to late blight in advanced potato clones from populations: B: B1C5, B3C1, B3C2 - 369 clones with resistance to Late Blight and LTVR- 294 clones with resistance to virus PVX, PVY and/or PLRV and BW - 24 clones with Bacterial Wilt resistant, under natural infection in Oxapampa, planted in September 2014 and harvested in January 2015, using observation plots, three replications/ten plants. Clones from population B showed in average AUDPC value of 185, and clones from population LTVR showed AUDPC average of 1630. This inforamtion will be used in manuscript “Global multi-environment resistance QTL for foliar late blight resistance in tetraploid potato with tropical adaptation”