cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.17468417.v1
title: Additional file 9 of Effects of Japanese-style online hemodiafiltration on survival and cardiovascular events

description: Additional file 9: Table S9 Comparison of variables before and after propensity score matching in the hemodialysis (HD) vs. low-volume postdilution online hemodiafiltration (post-OHDF) groups divided by the weighted average
DOI: 10.6084/m9.figshare.17468417
title: Additional file 9 of Effects of Japanese-style online hemodiafiltration on survival and cardiovascular events

description: Additional file 9: Table S9 Comparison of variables before and after propensity score matching in the hemodialysis (HD) vs. low-volume postdilution online hemodiafiltration (post-OHDF) groups divided by the weighted average
DOI: 10.6084/m9.figshare.17468390
title: Additional file 5 of Effects of Japanese-style online hemodiafiltration on survival and cardiovascular events

description: Additional file 5: Table S5. Comparison of variables before and after propensity score matching in the hemodialysis (HD) vs. low-volume predilution online hemodiafiltration (pre-OHDF) groups divided by the median
DOI: 10.6084/m9.figshare.17468522
title: Additional file 1 of Non-destructive, high-content analysis of wheat grain traits using X-ray micro computed tomography

description: Additional file 1. MATLAB Image processing pipeline. This file contains all image processing code and instructions explaining input and output as well as usage of our method.
DOI: 10.6084/m9.figshare.17468522.v1
title: Additional file 1 of Non-destructive, high-content analysis of wheat grain traits using X-ray micro computed tomography

description: Additional file 1. MATLAB Image processing pipeline. This file contains all image processing code and instructions explaining input and output as well as usage of our method.
DOI: 10.6084/m9.figshare.17468528
title: Additional file 2 of Non-destructive, high-content analysis of wheat grain traits using X-ray micro computed tomography

description: Additional file 2: Table S1. Additional software packages used in this study.
DOI: 10.6084/m9.figshare.17468528.v1
title: Additional file 2 of Non-destructive, high-content analysis of wheat grain traits using X-ray micro computed tomography

description: Additional file 2: Table S1. Additional software packages used in this study.
DOI: 10.6084/m9.figshare.17468537
title: Additional file 3 of Non-destructive, high-content analysis of wheat grain traits using X-ray micro computed tomography

description: Additional file 3: Table S2. Dataset obtained for the same wheat spike scanned at different resolutions as indicated. No significant difference for p
DOI: 10.6084/m9.figshare.17468537.v1
title: Additional file 3 of Non-destructive, high-content analysis of wheat grain traits using X-ray micro computed tomography

description: Additional file 3: Table S2. Dataset obtained for the same wheat spike scanned at different resolutions as indicated. No significant difference for p
DOI: 10.6084/m9.figshare.17468558
title: Additional file 5 of Non-destructive, high-content analysis of wheat grain traits using X-ray micro computed tomography

description: Additional file 5: Table S3. Dataset used. Tables contain all the collected data for grain and spike parameters.
DOI: 10.6084/m9.figshare.17468558.v1
title: Additional file 5 of Non-destructive, high-content analysis of wheat grain traits using X-ray micro computed tomography

description: Additional file 5: Table S3. Dataset used. Tables contain all the collected data for grain and spike parameters.
DOI: 10.6084/m9.figshare.17468570
title: Additional file 7 of Non-destructive, high-content analysis of wheat grain traits using X-ray micro computed tomography

description: Additional file 7: Table S4. Grain trait data for foxtail millet (Setaria italica), oats (Avena sativa), darnel ryegrass (Lolium temulentum) and ryegrass (Lolium perenne).
DOI: 10.6084/m9.figshare.17468570.v1
title: Additional file 7 of Non-destructive, high-content analysis of wheat grain traits using X-ray micro computed tomography

description: Additional file 7: Table S4. Grain trait data for foxtail millet (Setaria italica), oats (Avena sativa), darnel ryegrass (Lolium temulentum) and ryegrass (Lolium perenne).
DOI: 10.6084/m9.figshare.17468573
title: Additional file 1 of GeneTonic: an R/Bioconductor package for streamlining the interpretation of RNA-seq data

description: Additional file 1: Table S1. Comparison of tools for assisting the interpretation of transcriptome data via functional enrichment analyses, including link to the related publications and to the source code repositories (if available). Evaluation criteria are included in the dedicated sheet. The information contained in this table are also available online at https://federicomarini.github.io/GeneTonic_supplement , displaying the content of the Google Sheet, accessible at https://docs.google.com/spreadsheets/d/1EQD8gNk6NID_8CJ-xetQm31XB4eRCXIsvVd4X0oaoPo/edit?usp=sharing ).
DOI: 10.6084/m9.figshare.17468573.v1
title: Additional file 1 of GeneTonic: an R/Bioconductor package for streamlining the interpretation of RNA-seq data

description: Additional file 1: Table S1. Comparison of tools for assisting the interpretation of transcriptome data via functional enrichment analyses, including link to the related publications and to the source code repositories (if available). Evaluation criteria are included in the dedicated sheet. The information contained in this table are also available online at https://federicomarini.github.io/GeneTonic_supplement , displaying the content of the Google Sheet, accessible at https://docs.google.com/spreadsheets/d/1EQD8gNk6NID_8CJ-xetQm31XB4eRCXIsvVd4X0oaoPo/edit?usp=sharing ).
DOI: 10.6084/m9.figshare.17468582
title: Additional file 2 of GeneTonic: an R/Bioconductor package for streamlining the interpretation of RNA-seq data

description: Additional file 2. Complete use case for the GeneTonic package, based on the RNA-seq dataset for macrophage immune stimulation (Interferon Gamma treatment vs naive cells, ERP020977).
DOI: 10.6084/m9.figshare.17468582.v1
title: Additional file 2 of GeneTonic: an R/Bioconductor package for streamlining the interpretation of RNA-seq data

description: Additional file 2. Complete use case for the GeneTonic package, based on the RNA-seq dataset for macrophage immune stimulation (Interferon Gamma treatment vs naive cells, ERP020977).
DOI: 10.6084/m9.figshare.17468591
title: Additional file 3 of GeneTonic: an R/Bioconductor package for streamlining the interpretation of RNA-seq data

description: Additional file 3. Complete use case for the GeneTonic package on the RNA-seq A20-deficient microglia dataset (A20 deficiency vs control, GSE123033).
DOI: 10.6084/m9.figshare.17468591.v1
title: Additional file 3 of GeneTonic: an R/Bioconductor package for streamlining the interpretation of RNA-seq data

description: Additional file 3. Complete use case for the GeneTonic package on the RNA-seq A20-deficient microglia dataset (A20 deficiency vs control, GSE123033).
DOI: 10.6084/m9.figshare.17468738
title: Additional file 1 of Comparison of hesitancy between COVID-19 and seasonal influenza vaccinations within the general Hungarian population: a cross-sectional study

description: Additional file 1. The 26 categories created by the Nézőpont Intézet Ltd. The table also contains all the words designated to each category in English. Please note, that due to the translations many words that are different in Hungarian are identical in English. Also, some Hungarian words cannot be expressed with a single word in English.
DOI: 10.6084/m9.figshare.17468738.v1
title: Additional file 1 of Comparison of hesitancy between COVID-19 and seasonal influenza vaccinations within the general Hungarian population: a cross-sectional study

description: Additional file 1. The 26 categories created by the Nézőpont Intézet Ltd. The table also contains all the words designated to each category in English. Please note, that due to the translations many words that are different in Hungarian are identical in English. Also, some Hungarian words cannot be expressed with a single word in English.
DOI: 10.6084/m9.figshare.17468741
title: Additional file 1 of Adolescent suicide attempts in three diverse island nations: patterns, contextual differences and demographic associations

description: Additional file 1: Table S1: Independent variable derivation from GSHS survey data (Cook Islands, Curacao, East Timor) 2015.
DOI: 10.6084/m9.figshare.17468741.v1
title: Additional file 1 of Adolescent suicide attempts in three diverse island nations: patterns, contextual differences and demographic associations

description: Additional file 1: Table S1: Independent variable derivation from GSHS survey data (Cook Islands, Curacao, East Timor) 2015.
DOI: 10.6084/m9.figshare.17468750
title: Additional file 2 of Adolescent suicide attempts in three diverse island nations: patterns, contextual differences and demographic associations

description: Additional file 2: Table S2: Cumulative proportion of factors in school-attending adolescents in Cook Islands, Curacao, and East Timor, GSHS 2015.
DOI: 10.6084/m9.figshare.17468750.v1
title: Additional file 2 of Adolescent suicide attempts in three diverse island nations: patterns, contextual differences and demographic associations

description: Additional file 2: Table S2: Cumulative proportion of factors in school-attending adolescents in Cook Islands, Curacao, and East Timor, GSHS 2015.
DOI: 10.6084/m9.figshare.17468759
title: Additional file 1 of Development of a community orientation program (COP) as a community-based medical education method for undergraduate medical students: an experience from India

description: Additional file 1.
DOI: 10.6084/m9.figshare.17468759.v1
title: Additional file 1 of Development of a community orientation program (COP) as a community-based medical education method for undergraduate medical students: an experience from India

description: Additional file 1.
DOI: 10.6084/m9.figshare.17469026
title: Additional file 2 of Growth in achondroplasia including stature, weight, weight-for-height and head circumference from CLARITY: achondroplasia natural history study—a multi-center retrospective cohort study of achondroplasia in the US

description: Additional file 2: Table S1. Male and female height, weight and head circumference mean and SD by month from birth through 20 years.
DOI: 10.6084/m9.figshare.17469026.v1
title: Additional file 2 of Growth in achondroplasia including stature, weight, weight-for-height and head circumference from CLARITY: achondroplasia natural history study—a multi-center retrospective cohort study of achondroplasia in the US

description: Additional file 2: Table S1. Male and female height, weight and head circumference mean and SD by month from birth through 20 years.
DOI: 10.6084/m9.figshare.17469038.v1
title: Additional file 3 of Growth in achondroplasia including stature, weight, weight-for-height and head circumference from CLARITY: achondroplasia natural history study—a multi-center retrospective cohort study of achondroplasia in the US

description: Additional file 3: Table S2. Male and female weight-for-height mean and SD by centimeter from 50–140 cm in males and 50–134 cm in females.
DOI: 10.6084/m9.figshare.17469038
title: Additional file 3 of Growth in achondroplasia including stature, weight, weight-for-height and head circumference from CLARITY: achondroplasia natural history study—a multi-center retrospective cohort study of achondroplasia in the US

description: Additional file 3: Table S2. Male and female weight-for-height mean and SD by centimeter from 50–140 cm in males and 50–134 cm in females.
DOI: 10.6084/m9.figshare.17469059.v1
title: Additional file 4 of Growth in achondroplasia including stature, weight, weight-for-height and head circumference from CLARITY: achondroplasia natural history study—a multi-center retrospective cohort study of achondroplasia in the US

description: Additional file 4: Table S3. Comparison of anthropometry data from achondroplasia populations in this CLARITY study and from Argentina (del Pino), Australia (Tofts) and Europe (Merker).
DOI: 10.6084/m9.figshare.17469059
title: Additional file 4 of Growth in achondroplasia including stature, weight, weight-for-height and head circumference from CLARITY: achondroplasia natural history study—a multi-center retrospective cohort study of achondroplasia in the US

description: Additional file 4: Table S3. Comparison of anthropometry data from achondroplasia populations in this CLARITY study and from Argentina (del Pino), Australia (Tofts) and Europe (Merker).
DOI: 10.14457/cu.the.2013.2051
title: Methane adsorption by activated carbons: comparison among coconut-, palm-, and bituminous coal based activated carbons
DOI: 10.14457/cu.the.2013.2052
title: Effect of organic diluents on separation of heat stable salts (HSS) generated during carbon dioxide absorption using amine solution
DOI: 10.14457/cu.the.2013.2053
title: Selective hydrogenation of 1-hexyne using low loaded Pd, Pd-Cu and Pd-W supported on alumina catalysts
DOI: 10.14457/cu.the.2012.1821
title: Combined steam reforming of CO2-containing natural gas and partial oxidation in a multistage gliding arc discharge system
DOI: 10.14457/cu.the.2013.2054
title: Modeling of crude oil properties using artificial neural network (ANN)
DOI: 10.14457/cu.the.2013.2055
title: Crystallization of chloronitrobenzenes with the presence of adsorbent: a phase diagram study
DOI: 10.14457/cu.the.2013.2056
title: Mesoscopic siumulation of sodium dodecyl sulfate aggregates on graphene nanosheets
DOI: 10.14457/cu.the.2013.2057
title: Catalytic conversion of glycerol to propylene glycol over copper/zine oxide-based catalysts: effect of catalyst supports
DOI: 10.14457/cu.the.2013.2058
title: Hydrogen production from oxidative steam reforming of methanol over Au/CeO2-ZrO2 catalysts
DOI: 10.14457/cu.the.2013.2059
title: Simulation of waterflooding, carbon dioxide flooding and water-alternating-carbon dioxide in heavy oil reservoir: comparative evaluation
DOI: 10.14457/cu.the.2013.2060
title: Study of carbon dioxide adsorption using adsorbent modified with piperazine
DOI: 10.14457/cu.the.2013.2061
title: Software integration of life cycle assessment and economic analysis for process evaluation
DOI: 10.14457/cu.the.2014.1513
title: Synthesis and property study of Ni-based cathod for IT-SOFCs
DOI: 10.14457/cu.the.2014.1514
title: Hydrogen and methane production from biodiesel wastewater by two-stage anaerobic sequencing batch reactor (ASBR) under mesophilic temperature
DOI: 10.34740/kaggle/dsv/2963792
title: Cryptocurrency extra data - Bitcoin Cash
DOI: 10.6084/m9.figshare.13138685
title: Causes of Amazonia birds’ distribution: a matter of phylogenetic scale

description: The dataset has all files to replicate all analyses in the manuscript Causes of Amazonia birds’ distribution: a matter of taxonomic scale now in submission to PNAS.
DOI: 10.6084/m9.figshare.13138685.v2
title: Causes of Amazonia birds’ distribution: a matter of phylogenetic scale

description: The dataset has all files to replicate all analyses in the manuscript Causes of Amazonia birds’ distribution: a matter of taxonomic scale now in submission to PNAS.
DOI: 10.6084/m9.figshare.13138685.v1
title: Causes of Amazonia birds’ distribution: a matter of taxonomic scale

description: The dataset has all files to replicate all analyses in the manuscript Causes of Amazonia birds’ distribution: a matter of taxonomic scale now in submission to PNAS.
DOI: 10.5281/zenodo.5802638
title: dataset of essay 'What will you do if you are the president? Imagining the future promotes the willingness to protect the environment'

description: dataset of my experiments
DOI: 10.5281/zenodo.5802637
title: dataset of essay 'What will you do if you are the president? Imagining the future promotes the willingness to protect the environment'

description: dataset of my experiments
DOI: 10.34740/kaggle/dsv/2963896
title: Cryptocurrency extra data - Binance Coin
DOI: 10.5281/zenodo.5802837
title: High-Pressure XAFS Measurements of the Coordination Environments of Fe2+ and Fe3+ in Basaltic Glasses (Table 1 & 2)

description: Table 1 & 2
DOI: 10.5281/zenodo.5802836
title: High-Pressure XAFS Measurements of the Coordination Environments of Fe2+ and Fe3+ in Basaltic Glasses (Table 1 & 2)

description: Table 1 & 2
DOI: 10.34740/kaggle/dsv/2964046
title: Cryptocurrency extra data - Bitcoin
DOI: 10.6084/m9.figshare.17481467
title: Source data.rar

description: source data
DOI: 10.6084/m9.figshare.17481467.v1
title: Source data.rar

description: source data
DOI: 10.6084/m9.figshare.17483414.v1
title: Source data.rar

description: Experimental data for submission of Nature communications Manuscript NCOMMS-21-38065A<br>
DOI: 10.6084/m9.figshare.17483414
title: Source data.rar

description: Experimental data for submission of Nature communications Manuscript NCOMMS-21-38065A<br>
DOI: 10.5281/zenodo.5802559
title: GNSS-A data obtained at the sites "ASZ2" and "FUKU" from 2011 to Feburary 2021

description: Contains the GNSS-A data obtained by the Japan Coast Guard at the sites at ASZ2 (Nankai Trough region) and FUKU (Japan Trench region) from 2011 to Feburary 2021. The datasets are stored in the following directories and files for analyses after array determination:<br> -[cfgfix]: contains site-parameter files<br> -[obsdata]: contains initial acoustic observation files<br> -[1st_cycle]: contains the results obtained by GARPOS <br> -[2nd_cycle]: contains the results obtained by constraining gradV2/gradV1<br> -[mp_estimation_2.py]: with changes to introduce constrained gradV2/gradV1 to GARPOS. Requires manual input for gradV2/gradV1.<br> -[forward_2.py]: with changes to introduce constrained gradV2/gradV1 to GARPOS. These data can be processed with GARPOS.
description: The observations were performed by the survey vessels operated by the Japan Coast Guard.
DOI: 10.5281/zenodo.4495535
title: Machine Learning Dataset for Poultry Diseases Diagnostics - PCR annotated

description: The dataset of poultry disease diagnostics was annotated using Polymerase Chain Reaction (PCR). Polymerase Chain Reaction (PCR) is a molecular biology technique for rapid diagnostics. We gathered both the fecal images and fecal samples from layers, cross and indigenous breeds of chicken from poultry farms in Arusha and Kilimanjaro regions in Tanzania between September 2020 and February 2021. Each fecal sample collected was coded to its corresponding image during data collection. PCR method is used for detection and identification of pathogens through amplification of DNA sequences unique to the pathogen. We used existing primers from literature to amplify the target DNA/RNA on the poultry fecal samples for PCR. The targets were Coccidiosis, Newcastle disease and Salmonella. We used the primers for PCR diagnostics at the molecular laboratory of the Nelson Mandela African Institution of Science and Technology (NM-AIST). The fecal samples were stored at -80 degrees celsius. The PCR diagnostics were conducted using reagents and kits from Zymo Research and the protocol is summarized in these five stages: 1. DNA sample loading 2. DNA extraction 3. Amplification; 4. Quantification and 5. Detection. All the PCR annotated fecal images are in the <strong><strong>.zip files</strong></strong>; “pcrcocci.zip” has 373 images, “pcrhealthy.zip” has 347 images, “pcrsalmo.zip” has 349 images, "pcrncd.zip" has 186 images. A total of 1,255 image files are labeled. The research project is funded by the Organization for Women in Science for the Developing World (OWSD) with Grant Award Number: 4500406715.
DOI: 10.5281/zenodo.5802864
title: Collection of primary literature pdfs from the Goldberg reviews

description: These are the archive copies of all currently crawled pdf files from the Goldberg reviews.
DOI: 10.5281/zenodo.5801673
title: Thermal diffusivity of molybdenum from 23 °C to 2200 °C

description: This dataset contains thermal diffusivity values determined from 23 °C to 2200 °C by seven laboratories on a batch of specimens machined in the same block of molybdenum.
description: The project 17IND11 Hi-TRACE has received funding from the EMPIR programme co-financed by the Participating States and from the European Union's Horizon 2020 research and innovation programme.
DOI: 10.5281/zenodo.5801672
title: Thermal diffusivity of molybdenum from 23 °C to 2200 °C

description: This dataset contains thermal diffusivity values determined from 23 °C to 2200 °C by seven laboratories on a batch of specimens machined in the same block of molybdenum.
description: The project 17IND11 Hi-TRACE has received funding from the EMPIR programme co-financed by the Participating States and from the European Union's Horizon 2020 research and innovation programme.
DOI: 10.5281/zenodo.5801734
title: Thermal diffusivity of tungsten from 23 °C to 2400 °C

description: This dataset contains thermal diffusivity values determined from 23 °C to 2400 °C by six laboratories on a batch of specimens machined in the same block of tungsten.
description: The project 17IND11 Hi-TRACE has received funding from the EMPIR programme co-financed by the Participating States and from the European Union's Horizon 2020 research and innovation programme.
DOI: 10.5281/zenodo.5801733
title: Thermal diffusivity of tungsten from 23 °C to 2400 °C

description: This dataset contains thermal diffusivity values determined from 23 °C to 2400 °C by six laboratories on a batch of specimens machined in the same block of tungsten.
description: The project 17IND11 Hi-TRACE has received funding from the EMPIR programme co-financed by the Participating States and from the European Union's Horizon 2020 research and innovation programme.
DOI: 10.6084/m9.figshare.17484935
title: Environmental data.rar

description: virus detection data and environmental data for MaxEnt model
DOI: 10.21227/jq0z-3205
title: FMCW Laser Smoke Echo Simulation Signal data

description: FMCW Laser Smoke Echo Simulation Signal data at different visibilities of smoke
DOI: 10.6084/m9.figshare.14691579
title: A global dataset for the projected impacts of climate change on four major crops

description: Reliable estimates of the impacts of climate change on crop production are critical for assessing the sustainability of food systems. Global, regional, and site-specific crop simulation studies have been conducted for nearly four decades, representing valuable sources of information for climate change impact assessments. However, the wealth of data produced by these studies has not been made publicly available. Here, we develop a global dataset by consolidating previously published meta-analyses and data collected through a new literature search covering recent crop simulations. The new global dataset builds on 8703 simulations from 202 studies published between 1984 and 2020. It contains projected yields of four major crops (maize, rice, soybean, and wheat) in 91 countries under major emission scenarios for the 21st century, with and without adaptation measures, along with geographical coordinates, current temperatures, local and global warming levels. This dataset provides a solid basis for a quantitative assessment of the impacts of climate change on crop production and will facilitate the rapidly developing data-driven machine learning applications.
DOI: 10.5281/zenodo.5802904
title: Data for Modeling Shallow Cumulus-topped Boundary Layer at Gray Zone Resolutions

description: Contains post-processed LES data and sample WRF input and sounding files, for the manuscript "Modeling Shallow Cumulus-topped Boundary Layer at Gray Zone Resolutions" by Wang et al., 2021, submitted to the Journal of the Atmospheric Sciences.
DOI: 10.5281/zenodo.5802903
title: Data for Modeling Shallow Cumulus-topped Boundary Layer at Gray Zone Resolutions

description: Contains post-processed LES data and sample WRF input and sounding files, for the manuscript "Modeling Shallow Cumulus-topped Boundary Layer at Gray Zone Resolutions" by Wang et al., 2021, submitted to the Journal of the Atmospheric Sciences.
DOI: 10.34740/kaggle/dsv/2964202
title: Cryptocurrency extra data - EOS.IO