cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.4891930
title: Supplementary Materials - Agriculture - Manuscript: Genetic variability, correlation among agronomic traits, and genetic progress in a sugarcane diversity panel

description: Type of the Paper (Article): Genetic variability, correlation among agronomic traits and genetic progress in a sugarcane diversity panel <strong>Table S1.</strong> Accessions names, ancestor germplasm or breeding germplasm (BP) and origin country of the 254 accessions of the Brazilian Panel of Sugarcane Genotypes (BPSG)<strong>.</strong> <strong>Table S2.</strong> Selected models for the matrix and number of estimated parameters () considering each trait separately. The Akaike (AIC) and Bayesian (BIC) information criteria were used to compare the structures of the variance-covariance matrix. The models for the matrix were selected according to the lowest value of the BIC criterion for BRIX (in °Brix), sucrose content of the cane (POL%C, in %), sucrose content of the juice (POL%J, in %), fiber content (FIB, in %), stalk height (SH, in m), stalk number (SN), stalk diameter (SD, in mm), stalk weight of the plot (SW, in kg), cane yield (TCH, in t ha<sup>–1</sup>) and sucrose yield (TPH, in t ha<sup>–1</sup>) for BPSG over three harvest years (2014, 2015 and 2016). Bold numbers represent the smallest AIC and BIC values. <strong>Table S3. </strong>Spreadsheet with raw data for the 10 traits evaluated in the present study.
DOI: 10.5281/zenodo.4752627
title: Supplementary Materials - Agriculture - Manuscript: Genetic variability, correlation among agronomic traits, and genetic progress in a sugarcane diversity panel

description: Type of the Paper (Article): Genetic variability, correlation among agronomic traits and genetic progress in a sugarcane diversity panel <strong>Table S1.</strong> Accessions names, ancestor germplasm or breeding germplasm (BP) and origin country of the 254 accessions of the Brazilian Panel of Sugarcane Genotypes (BPSG)<strong>.</strong> <strong>Table S2.</strong> Selected models for the matrix and number of estimated parameters () considering each trait separately. The Akaike (AIC) and Bayesian (BIC) information criteria were used to compare the structures of the variance-covariance matrix. The models for the matrix were selected according to the lowest value of the BIC criterion for BRIX (in °Brix), sucrose content of the cane (POL%C, in %), sucrose content of the juice (POL%J, in %), fiber content (FIB, in %), stalk height (SH, in m), stalk number (SN), stalk diameter (SD, in mm), stalk weight of the plot (SW, in kg), cane yield (TCH, in t ha<sup>–1</sup>) and sucrose yield (TPH, in t ha<sup>–1</sup>) for BPSG over three harvest years (2014, 2015 and 2016). Bold numbers represent the smallest AIC and BIC values. <strong>Table S3. </strong>Spreadsheet with raw data for the 10 traits evaluated in the present study.
DOI: 10.6084/m9.figshare.12834896
title: Data for geodiv vignette

description: Data for the vignette associated with the geodiv R package. Data may be used to analyze patterns in landscape heterogeneity over Oregon, USA.<br>Data included are as follows:<br><b>(var)_img_450m.tif:</b> texture images (gradient metric applied over moving windows), for the specified metric, applied over a small portion of southwestern Oregon state. The window size used is 450x450m.<br><b>oregon_elevation_SRTM_2000.tif:</b> Shuttle Radar Topography Mission (SRTM) elevation data covering Oregon state for the year 2000. Data were prepared and downloaded in Google Earth Engine in Fall 2019, and are at 240m resolution.<b><br></b><b>oregon_max_growing_season_EVI_2000_2019.tif:</b> Mean maximum growing season MODIS Enhanced Vegetation Index (EVI) data from 2000-2019. Data were prepared and exported from Google Earth Engine in Fall 2019, and are at 250m resolution.<b><br></b><b>elevation_variables.csv:</b> All gradient surface metrics included in the geodiv R package, calculated for 30km moving windows over Oregon state, using a raster of SRTM elevation (above) aggregated to ~2km resolution.<br><b>evi_variables.csv:</b> All gradient surface metrics included in the geodiv R package, calculated for 30km moving windows over Oregon state, using a raster of MODIS EVI (above) aggregated to 2km resolution.<br><br><b>evi_variables_1km.csv:</b> All gradient surface metrics included in the geodiv R package, calculated for 15km moving windows over Oregon state, using a raster of MODIS EVI (above) aggregated to 1km resolution.<br><br><b>naip_ndvi(year).tif:</b> NAIP NDVI covering the 2017 Jolly Mountain fire in Washington State. The 2015 image is pre-fire, and the 2017 image is post-fire.
DOI: 10.6084/m9.figshare.12834896.v4
title: Data for geodiv vignette

description: Data for the vignette associated with the geodiv R package. Data may be used to analyze patterns in landscape heterogeneity over Oregon, USA.<br>Data included are as follows:<br><b>(var)_img_450m.tif:</b> texture images (gradient metric applied over moving windows), for the specified metric, applied over a small portion of southwestern Oregon state. The window size used is 450x450m.<br><b>oregon_elevation_SRTM_2000.tif:</b> Shuttle Radar Topography Mission (SRTM) elevation data covering Oregon state for the year 2000. Data were prepared and downloaded in Google Earth Engine in Fall 2019, and are at 30m resolution.<b><br></b><b>oregon_max_growing_season_EVI_2000_2019.tif:</b> Mean maximum growing season MODIS Enhanced Vegetation Index (EVI) data from 2000-2019. Data were prepared and exported from Google Earth Engine in Fall 2019, and are at 250m resolution.<b><br></b><b>elevation_variables.csv:</b> All gradient surface metrics included in the geodiv R package, calculated for 30km moving windows over Oregon state, using a raster of SRTM elevation (above) aggregated to ~2km resolution.<br><b>evi_variables.csv:</b> All gradient surface metrics included in the geodiv R package, calculated for 30km moving windows over Oregon state, using a raster of MODIS EVI (above) aggregated to 2km resolution.<br><br><b>naip_ndvi(year).tif:</b> NAIP NDVI covering the 2017 Jolly Mountain fire in Washington State. The 2015 image is pre-fire, and the 2017 image is post-fire.
DOI: 10.17632/sk8ky4n8db.1
title: Data for: End-to-end efficiency quantification of an autonomous underwater vehicle propulsion system

description: Experimental measurements of a series of AUV propellers. Data include: - regressed force coefficients per propeller per advance speed - final self propelled operating points - 2D xfoil predictions for the propeller section at r/R of 0.7 - motor-gearbox efficiency data
DOI: 10.7295/w9cil54572
title: CIL:54572, Xenopus Laevis, Entire Organism
DOI: 10.6084/m9.figshare.14714562.v1
title: Comparative and systems analyses of Leishmania spp. non-coding RNAs through developmental stages supplementary data

description: Leishmania spp. is the causal agent of several diseases called leishmaniases, neglected diseases that seek to be eradicated in the coming years. We aimed to study the genomic structure and function of non-coding RNAs (ncRNAs) from Leishmania spp. and to get insights into its RNAome. We studied 26 strains corresponding to 16 different species of Leishmania genus. RNAome analysis revealed the presence of several ncRNAs that are shared through different species, allowing us to differentiate between subgenus and as well as species that are canonically related to visceral leishmaniasis. We found coexpression relationships within coding genes and ncRNAs, thus suggesting possible functional relationships between different coding genes-ncRNAs. Expression analysis in the metacyclic developmental stage comparison for Leishmania braziliensis and Leishmania major reveals the presence of shared coexpressed ncRNAs to several other coding genes in both species involved in chromatin structure and host interaction. This work constitutes the first effort to characterize the Leishmania RNAome, supporting further approaches to better understand the role of ncRNAs in the gene regulation, infective process and host-parasite interaction.<br>
DOI: 10.6084/m9.figshare.14714562
title: Comparative and systems analyses of Leishmania spp. non-coding RNAs through developmental stages supplementary data

description: Leishmania spp. is the causal agent of several diseases called leishmaniases, neglected diseases that seek to be eradicated in the coming years. We aimed to study the genomic structure and function of non-coding RNAs (ncRNAs) from Leishmania spp. and to get insights into its RNAome. We studied 26 strains corresponding to 16 different species of Leishmania genus. RNAome analysis revealed the presence of several ncRNAs that are shared through different species, allowing us to differentiate between subgenus and as well as species that are canonically related to visceral leishmaniasis. We found coexpression relationships within coding genes and ncRNAs, thus suggesting possible functional relationships between different coding genes-ncRNAs. Expression analysis in the metacyclic developmental stage comparison for Leishmania braziliensis and Leishmania major reveals the presence of shared coexpressed ncRNAs to several other coding genes in both species involved in chromatin structure and host interaction. This work constitutes the first effort to characterize the Leishmania RNAome, supporting further approaches to better understand the role of ncRNAs in the gene regulation, infective process and host-parasite interaction.<br>
DOI: 10.5281/zenodo.4891939
title: CoVaxxy Tweet IDs data set

description: A collection of Tweet IDs related to Covid-19 Vaccines, gathered from Twitter since Jan 4, 2021. Please see https://arxiv.org/abs/2101.07694 for more information.
DOI: 10.6084/m9.figshare.14632584
title: Spatial planning for restoration in Cerrado: balancing the trade-offs between conservation and agriculture

description: This dataset consists of 29 rasters files in GeoTiff format with a resolution of 250m, and 2 Shape files, one for the Cerrado biome and other for Basaltos do Paraná ecoregion. This data was used for modelling priority areas for restoration in Cerrado. Details of methodology are in the read me file.The raster data description details follows:rios.tif: binary raster file (0 and 1) containing the 200m buffer around water courses in cerrado.mask.tif: raster containing the pasture areas in the Cerrado biome used as mask in the analysis.pal_riq.tif: palm trees species richness distribution in Cerrado.pal_ame.tif: distribution of endangered palm trees species in cerrado.len_riq.tif: woody plants species richness distribution in Cerrado.len_ame.tif: distribution of endangered woody plants in Cerrado.gram_riq.tif: grasses species richness distribution in Cerrado.gram_ame.tif: distribution of endangered grasses in Cerrado.herb_riq.tif: herbaceous plants species richness distribution in Cerrado.herb_ame.tif: distribution of endangered herbaceous plants in Cerrado.anf_riq.tif: amphibians species richness distribution in Cerrado.anf_ame.tif: distribution of endangered amphibians in Cerrado.rep_riq.tif: reptiles species richness distribution in Cerrado.rep_ame.tif: distribution of endangered reptiles in Cerrado.aves_riq.tif: birds species richness distribution in Cerrado.aves_ame.tif: distribution of endangered birds in Cerrado.mam_riq.tif: mammals species richness distribution in Cerrado.mam_ame.tif: distribution of endangered mammals in Cerrado.pot_past.tif: potential of natural regeneration of pastures in Cerrado.bal_hidr.tif: water yield distribution in cerrado.carbon.tif: past carbon stock in vegetation.<br>
DOI: 10.25612/837.q67bvz90y962
title: Texas Flood Registry [4/14/2018 - 9/30/2020]

description: Data from survey on the short- and long-term housing and health effects of Hurricane Harvey, the May 2019 storms that affected parts of Texas, and Tropical Storm Imelda.
DOI: 10.5281/zenodo.4891960
title: Panorama das Abordagens da Engenharia Popular no Âmbito da Engenharia de Produção

description: Base de dados utilizada no artigo intitulado "<strong>Panorama das Abordagens da Engenharia Popular no Âmbito da Engenharia de Produção".</strong>
DOI: 10.5281/zenodo.4891959
title: Panorama das Abordagens da Engenharia Popular no Âmbito da Engenharia de Produção

description: Base de dados utilizada no artigo intitulado "<strong>Panorama das Abordagens da Engenharia Popular no Âmbito da Engenharia de Produção".</strong>
DOI: 10.5281/zenodo.4891963
title: Data for "In-situ diffraction based observations of slip near phase boundaries in titanium through micropillar compression"

description: Data for "In-situ diffraction based observations of slip near phase boundaries in titanium through micropillar compression" Tea-Sung Jun a,b†, Ayan Bhowmik a,c , Xavier Maeder d, Giorgio Sernicola a, Tommaso Giovannini a, Igor Dolbnya e, Johann Michler d, Finn Giuliani a, Ben Britton a,f<br> a Department of Materials, Royal School of Mines, Imperial College London, London SW7 2AZ, UK<br> b Department of Mechanical Engineering, Incheon National University, Incheon 22012, Republic of Korea<br> c Department of Materials Science and Engineering, Indian Institute of Technology Delhi, New Delhi 110016, India<br> d EMPA, Swiss Federal Laboratories for Materials Science and Technology, Laboratory for Mechanics of Materials and Nanostructures, Feuerwerkerstrasse 39, CH-3602 Thun, Switzerland<br> e Diamond Light Source, Harwell Science and Innovation Campus, Didcot OX11 0DE UK<br> f current address: Department of Materials Engineering, University of British Columbia, Canada -- This Laue_HREBSD_MicropillarData folder contains 4 subfolders:<br> (1) Videos for Laue peak evolution<br> (2) Data for Figure 2(a)<br> (3) Data for Figure 3(a)<br> (4) Data for Figure 4 -- For the subfolders (2) ~ (4), readers can plot the graphs either using Excel, OriginPro or other software. <br> Note that we used the OriginPro to generate all the graphs in this article. -- If readers need further information, please feel free to contact: t.jun@inu.ac.kr or terryjun83@gmail.com (Tea-Sung (Terry) Jun)<br>
DOI: 10.5281/zenodo.4891962
title: Data for "In-situ diffraction based observations of slip near phase boundaries in titanium through micropillar compression"

description: Data for "In-situ diffraction based observations of slip near phase boundaries in titanium through micropillar compression" Tea-Sung Jun a,b†, Ayan Bhowmik a,c , Xavier Maeder d, Giorgio Sernicola a, Tommaso Giovannini a, Igor Dolbnya e, Johann Michler d, Finn Giuliani a, Ben Britton a,f<br> a Department of Materials, Royal School of Mines, Imperial College London, London SW7 2AZ, UK<br> b Department of Mechanical Engineering, Incheon National University, Incheon 22012, Republic of Korea<br> c Department of Materials Science and Engineering, Indian Institute of Technology Delhi, New Delhi 110016, India<br> d EMPA, Swiss Federal Laboratories for Materials Science and Technology, Laboratory for Mechanics of Materials and Nanostructures, Feuerwerkerstrasse 39, CH-3602 Thun, Switzerland<br> e Diamond Light Source, Harwell Science and Innovation Campus, Didcot OX11 0DE UK<br> f current address: Department of Materials Engineering, University of British Columbia, Canada -- This Laue_HREBSD_MicropillarData folder contains 4 subfolders:<br> (1) Videos for Laue peak evolution<br> (2) Data for Figure 2(a)<br> (3) Data for Figure 3(a)<br> (4) Data for Figure 4 -- For the subfolders (2) ~ (4), readers can plot the graphs either using Excel, OriginPro or other software. <br> Note that we used the OriginPro to generate all the graphs in this article. -- If readers need further information, please feel free to contact: t.jun@inu.ac.kr or terryjun83@gmail.com (Tea-Sung (Terry) Jun)<br>
DOI: 10.6084/m9.figshare.14714841
title: Viability and Growth Dataset across Temperature Treatments

description: This dataset shows the raw optical density readings used to measure rough whole culture growth and viability for several isolates of Batrachochytrium dendrobatidis. The day of the experiment, temperature of experimental treatment, and location of isolate collection are all shown.
DOI: 10.6084/m9.figshare.14714841.v1
title: Viability and Growth Dataset across Temperature Treatments

description: This dataset shows the raw optical density readings used to measure rough whole culture growth and viability for several isolates of Batrachochytrium dendrobatidis. The day of the experiment, temperature of experimental treatment, and location of isolate collection are all shown.
DOI: 10.6084/m9.figshare.14714856
title: Zoospore Densities Dataset for Chytrid

description: This dataset shows the raw zoospore counts done across temperatures and across isolates for this publication. Date, location, and treatment information are all provided and metadata sheet discusses all details.
DOI: 10.6084/m9.figshare.14714856.v1
title: Zoospore Densities Dataset for Chytrid

description: This dataset shows the raw zoospore counts done across temperatures and across isolates for this publication. Date, location, and treatment information are all provided and metadata sheet discusses all details.
DOI: 10.6084/m9.figshare.14714859.v1
title: Readme.txt File

description: This file provides all details and information needed for this project and sub sequential publication.
DOI: 10.6084/m9.figshare.14714859
title: Readme.txt File

description: This file provides all details and information needed for this project and sub sequential publication.
DOI: 10.5281/zenodo.4835806
title: Hachidaishu part of speech dataset

description: <strong>Hachidaishu part-of-speech dataset</strong> This dataset contains the part-of-speech information of the Imperial Anthology of Japanese Poetry and the Hachidaishu. Data offset Example: #1 Kokinshu<br> <br> 10001 年/名/とし の/格助/の 内/名/うち に/格助/に 春/名/はる は/係助/は き/カ変-用:来:く/き に/完-用:ぬ:ぬ/に けり/過-終:けり:けり/けり 一とせ/名/ひととせ を/*助/を こそ/名/こぞ と/格助/と や/係助/や いは/ハ四-未:言ふ:いふ/いは ん/推-終体:む:む/む ことし/名/ことし と/格助/と や/係助/や いは/ハ四-未:言ふ:いふ/いは ん/推-終体:む:む/む A line a poem: tokens are separated by spaces; and a token consists of pos elements separated by slashes. 1st column "10001" contains two elements: the first digit is an anthology ID and the rest is a poem ID; the anthology ID: 1..Kokinshu, 2..Gosenshu, 3..Shuishu, 4..Goshuishu, 5..Kin'yoshu, 6..Shikashu, 7..Senzaishu, and 8..Shinkokinshu. The poem ID is the same as in the database "Nijuichidaishu." 2nd column and the followings are the information of each token. In case of noun and particle, such as tokens not having conjugations: text/POS/reading. In case of verb, adjectives, such as tokens having conjugations: text/POS:lemma-kanji:lemma-reading/reading.
description: {"references": ["Hilofumi Yamamoto. POS tagger for Classical Japanese Poems, The Study of Japanese Linguistics, The Society of Japanese Linguistics, Vol. 3, No. 3, pp. 33-39, July 2007.", "Hilofumi Yamamoto. Thesaurus for the Hachidaishu (ca. 905-1205) with the classification codes based on semantic principles, The Study of Japanese Linguistics, The Society of Japanese Linguistics, Vol. 5, No. 1, pp. 46-52, Jan. 2009."]}
DOI: 10.5281/zenodo.4835805
title: Hachidaishu part of speech dataset

description: <strong>Hachidaishu part-of-speech dataset</strong> This dataset contains the part-of-speech information of the Imperial Anthology of Japanese Poetry and the Hachidaishu. Data offset Example: #1 Kokinshu<br> <br> 10001 年/名/とし の/格助/の 内/名/うち に/格助/に 春/名/はる は/係助/は き/カ変-用:来:く/き に/完-用:ぬ:ぬ/に けり/過-終:けり:けり/けり 一とせ/名/ひととせ を/*助/を こそ/名/こぞ と/格助/と や/係助/や いは/ハ四-未:言ふ:いふ/いは ん/推-終体:む:む/む ことし/名/ことし と/格助/と や/係助/や いは/ハ四-未:言ふ:いふ/いは ん/推-終体:む:む/む A line a poem: tokens are separated by spaces; and a token consists of pos elements separated by slashes. 1st column "10001" contains two elements: the first digit is an anthology ID and the rest is a poem ID; the anthology ID: 1..Kokinshu, 2..Gosenshu, 3..Shuishu, 4..Goshuishu, 5..Kin'yoshu, 6..Shikashu, 7..Senzaishu, and 8..Shinkokinshu. The poem ID is the same as in the database "Nijuichidaishu." 2nd column and the followings are the information of each token. In case of noun and particle, such as tokens not having conjugations: text/POS/reading. In case of verb, adjectives, such as tokens having conjugations: text/POS:lemma-kanji:lemma-reading/reading.
description: {"references": ["Hilofumi Yamamoto. POS tagger for Classical Japanese Poems, The Study of Japanese Linguistics, The Society of Japanese Linguistics, Vol. 3, No. 3, pp. 33-39, July 2007.", "Hilofumi Yamamoto. Thesaurus for the Hachidaishu (ca. 905-1205) with the classification codes based on semantic principles, The Study of Japanese Linguistics, The Society of Japanese Linguistics, Vol. 5, No. 1, pp. 46-52, Jan. 2009."]}
DOI: 10.34740/kaggle/dsv/2294710
title: YouTube Trending Video Dataset (updated daily)
DOI: 10.25959/qva4-fw58
title: Dynamics of the carbonate system of a coastal coral reef in the northern South China Sea
DOI: 10.25442/hku.14685635
title: Supporting data for “Harnessing single-cell transcriptomics analysis to determine cellular heterogeneity, progression, and early markers of conventional chondrosarcoma”

description: Chondrosarcoma consisting of cartilage producing cells is a relatively rare cancer. Conventional chondrosarcoma (CCS) is the most common form of chondrosarcoma that can arise from benign tumour. Benign tumour is managed conservatively, while surgery is the main form of treatment for CCS. However, there is currently no clear diagnostic marker for malignant transformation and clinical decision making. We used single-cell RNA sequencing (scRNA-seq) to characterize primary tumour tissues from seven patients with CCS, one patient with benign tumour, one patient with dedifferentiated chondrosarcoma, as well as a chondroblastic osteosarcoma and a fetal femur as controls. This single cell atlas were use to were analysed to identify tumour heterogeneity, malignant transformation, and early markers of CCS.
DOI: 10.25442/hku.14685635.v1
title: Supporting data for “Harnessing single-cell transcriptomics analysis to determine cellular heterogeneity, progression, and early markers of conventional chondrosarcoma”

description: Chondrosarcoma consisting of cartilage producing cells is a relatively rare cancer. Conventional chondrosarcoma (CCS) is the most common form of chondrosarcoma that can arise from benign tumour. Benign tumour is managed conservatively, while surgery is the main form of treatment for CCS. However, there is currently no clear diagnostic marker for malignant transformation and clinical decision making. We used single-cell RNA sequencing (scRNA-seq) to characterize primary tumour tissues from seven patients with CCS, one patient with benign tumour, one patient with dedifferentiated chondrosarcoma, as well as a chondroblastic osteosarcoma and a fetal femur as controls. This single cell atlas were use to were analysed to identify tumour heterogeneity, malignant transformation, and early markers of CCS.
DOI: 10.5281/zenodo.4686506
title: UAV RGB and TIR images in the Qinghai-Tibet Engineering Corridor

description: For these two slopes, we conducted two flight experiments of RGB sensor mounted on UAVs in 2016 and 2017. In 2016 and 2017, two flight experiments of UAV mounted thermal infrared sensor were carried out.
DOI: 10.5281/zenodo.3764279
title: UAV RGB and TIR images in the Qinghai-Tibet Engineering Corridor

description: For these two slopes, we conducted two flight experiments of RGB sensor mounted on UAVs in 2016 and 2017. In 2016 and 2017, two flight experiments of UAV mounted thermal infrared sensor were carried out.
DOI: 10.48425/0093777
title: Protocol snow depth measurements varanger

description: Protocol for snowdepth measurements on the Varanger peninsula.
DOI: 10.6084/m9.figshare.12091101
title: Landslides_Data_Wong & Zhou (2021)

description: The data serves for Wong and Zhou (2021) published in Landslides
DOI: 10.6084/m9.figshare.14714853
title: MOM6 surface velocities

description: MOM6 surface velocities from a JRA55-forced global simulation, averaged over one month.
DOI: 10.6084/m9.figshare.14714853.v2
title: MOM6 surface velocities

description: MOM6 surface velocities from a JRA55-forced global simulation, averaged over one month.