cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.7281/t1/1ecvb0/lnrxfz
title: DustOff-monthly-average_wrfout_d01_2015-05_00_mean.nc
DOI: 10.7281/t1/1ecvb0/ok06yy
title: DustOn-monthly-average_wrfout_d01_2004-09_18_mean.nc
DOI: 10.7281/t1/1ecvb0/pefawv
title: DustOff-monthly-average_wrfout_d01_2015-10_06_mean.nc
DOI: 10.7281/t1/1ecvb0/pmmpo2
title: DustOn-monthly-average_wrfout_d01_2004-10_00_mean.nc
DOI: 10.7281/t1/1ecvb0/rqknch
title: DustOff-monthly-average_wrfout_d01_2015-09_06_mean.nc
DOI: 10.7281/t1/1ecvb0/t6pa9h
title: DustOff-monthly-average_wrfout_d01_2015-04_06_mean.nc
DOI: 10.7281/t1/1ecvb0/th423h
title: DustOff-monthly-average_wrfout_d01_2015-08_12_mean.nc
DOI: 10.7281/t1/1ecvb0/tvknbi
title: DustOff-monthly-average_wrfout_d01_2015-08_00_mean.nc
DOI: 10.7281/t1/1ecvb0/u64wib
title: DustOff-monthly-standard-deviation_wrfout_d01_2014-10_12_std.nc
DOI: 10.7281/t1/1ecvb0/uvzvge
title: DustOn-monthly-average_wrfout_d01_2004-06_12_mean.nc
DOI: 10.7281/t1/1ecvb0/w0m6yj
title: DustOn-monthly-average_wrfout_d01_2004-08_06_mean.nc
DOI: 10.7281/t1/1ecvb0/wdtku5
title: DustOff-monthly-standard-deviation_wrfout_d01_2014-07_18_std.nc
DOI: 10.7281/t1/1ecvb0/zrr0v5
title: DustOff-monthly-standard-deviation_wrfout_d01_2014-09_06_std.nc
DOI: 10.7281/t1/1ecvb0/zzryne
title: DustOn-monthly-average_wrfout_d01_2004-10_12_mean.nc
DOI: 10.17632/5fsj62rxnm.1
title: The source codes of WT

description: WT is a modified version of Tephra2 to reconstruct tephra fall from bending plume, which often occurs in windy condition.
DOI: 10.17632/n9gb9fnt47.1
title: South Korea Air Pollution Data 2019

description: Taken from https://www.kaggle.com/bappekim/air-pollution-in-seoul#Measurement_summary.csv, simply republished to be able to call using Sinbad Library.
DOI: 10.7281/t1/1ecvb0/1plnyj
title: DustOff-monthly-average_wrfout_d01_2015-07_12_mean.nc
DOI: 10.7281/t1/1ecvb0/7nkyds
title: DustOn-monthly-average_wrfout_d01_2004-04_00_mean.nc
DOI: 10.7281/t1/1ecvb0/9wi6tt
title: DustOff-monthly-average_wrfout_d01_2016-06_00_mean.nc
DOI: 10.7281/t1/1ecvb0/e3guuq
title: DustOff-monthly-standard-deviation_wrfout_d01_2013-05_12_std.nc
DOI: 10.7281/t1/1ecvb0/g4yrtw
title: DustOff-monthly-average_wrfout_d01_2016-07_06_mean.nc
DOI: 10.7281/t1/1ecvb0/gbekoz
title: DustOff-monthly-standard-deviation_wrfout_d01_2014-06_06_std.nc
DOI: 10.7281/t1/1ecvb0/izuspa
title: DustOn-monthly-average_wrfout_d01_2004-05_06_mean.nc
DOI: 10.7281/t1/1ecvb0/juhahw
title: DustOn-monthly-average_wrfout_d01_2005-09_00_mean.nc
DOI: 10.7281/t1/1ecvb0/kuzgqm
title: DustOn-monthly-average_wrfout_d01_2005-03_12_mean.nc
DOI: 10.7281/t1/1ecvb0/m3qxrs
title: DustOn-monthly-average_wrfout_d01_2004-09_00_mean.nc
DOI: 10.7281/t1/1ecvb0/odm6oq
title: DustOn-monthly-average_wrfout_d01_2004-10_18_mean.nc
DOI: 10.7281/t1/1ecvb0/ofh86x
title: DustOff-monthly-standard-deviation_wrfout_d01_2013-05_00_std.nc
DOI: 10.7281/t1/1ecvb0/ohhvvn
title: DustOff-monthly-average_wrfout_d01_2016-10_12_mean.nc
DOI: 10.7281/t1/1ecvb0/okd6fp
title: DustOff-monthly-standard-deviation_wrfout_d01_2013-04_18_std.nc
DOI: 10.7281/t1/1ecvb0/sqsiec
title: DustOff-monthly-average_wrfout_d01_2016-03_18_mean.nc
DOI: 10.7281/t1/1ecvb0/unnr3m
title: DustOff-monthly-average_wrfout_d01_2015-08_18_mean.nc
DOI: 10.7281/t1/1ecvb0/v6z6pr
title: DustOff-monthly-standard-deviation_wrfout_d01_2014-07_12_std.nc
DOI: 10.7281/t1/1ecvb0/v7jlub
title: DustOn-monthly-average_wrfout_d01_2004-03_12_mean.nc
DOI: 10.7281/t1/1ecvb0/vakfue
title: DustOff-monthly-standard-deviation_wrfout_d01_2014-07_00_std.nc
DOI: 10.7281/t1/1ecvb0/zlgfg3
title: DustOff-monthly-standard-deviation_wrfout_d01_2013-09_06_std.nc
DOI: 10.17632/227rwwwv72.1
title: Source code for "Measuring positive public transit accessibility using multi-source transit data"

description: This dataset contains source code for the submitted paper "Measuring positive public transit accessibility using multi-source transit data" prepared for Computers, Environment, and Urban Systems. Readers can download the zip file and unzip it to access the code. It include a README text file that briefly describes four individual projects we have developed for the study.
DOI: 10.17632/6xxjcffswk.1
title: Dataset of operating conditions to Isolate Cellulose Nanocrystalline from Sugarcane Bagasse and Pinewood Sawdust as Possible Material to Fabricate Polymer Electrolyte Membranes.

description: Data corresponding to the article "Dataset of operating conditions to Isolate Cellulose Nanocrystalline from Sugarcane Bagasse and Pinewood Sawdust as Possible Material to Fabricate Polymer Electrolyte Membranes"
DOI: 10.17632/wk6s7kh48m.1
title: Where Marine Protected Areas would best represent 30% of ocean biodiversity

description: This is the final result data of the paper 'Where Marine Protected Areas would best represent 30% of ocean biodiversity'. The side length of each cell is 100 km along lat and lon. In the tif file the priority value in each cell from low to high is from '0' to '1'. The cells in the first row & column and last row & column are no data cells (having the value '-1' as the same as the land cells) due to the necessity of Zonation algorithm. The top 30% prioritized cells were selected as the 'the Prioritized Area' in the paper.
DOI: 10.7281/t1/1ecvb0/0sow7h
title: DustOff-monthly-standard-deviation_wrfout_d01_2013-08_00_std.nc
DOI: 10.7281/t1/1ecvb0/49sja4
title: DustOff-monthly-standard-deviation_wrfout_d01_2013-08_12_std.nc
DOI: 10.7281/t1/1ecvb0/4eg0zd
title: DustOff-monthly-standard-deviation_wrfout_d01_2013-10_18_std.nc
DOI: 10.7281/t1/1ecvb0/5wbn14
title: DustOff-monthly-average_wrfout_d01_2016-04_00_mean.nc
DOI: 10.7281/t1/1ecvb0/6lwg3z
title: DustOff-monthly-standard-deviation_wrfout_d01_2013-10_06_std.nc
DOI: 10.7281/t1/1ecvb0/7wohco
title: DustOn-monthly-average_wrfout_d01_2005-09_18_mean.nc
DOI: 10.7281/t1/1ecvb0/9ugrxv
title: DustOff-monthly-standard-deviation_wrfout_d01_2013-08_06_std.nc
DOI: 10.7281/t1/1ecvb0/dacwrb
title: DustOn-monthly-average_wrfout_d01_2005-04_00_mean.nc
DOI: 10.7281/t1/1ecvb0/dcygiz
title: DustOff-monthly-average_wrfout_d01_2016-08_06_mean.nc
DOI: 10.7281/t1/1ecvb0/fbwaqc
title: DustOff-monthly-average_wrfout_d01_2016-06_18_mean.nc
DOI: 10.7281/t1/1ecvb0/g0t9jq
title: DustOff-monthly-standard-deviation_wrfout_d01_2013-04_12_std.nc
DOI: 10.7281/t1/1ecvb0/govtzn
title: DustOn-monthly-average_wrfout_d01_2005-10_00_mean.nc
DOI: 10.7281/t1/1ecvb0/jhvowj
title: DustOff-monthly-standard-deviation_wrfout_d01_2013-03_00_std.nc
DOI: 10.7281/t1/1ecvb0/k3sjon
title: DustOn-monthly-average_wrfout_d01_2005-10_18_mean.nc
DOI: 10.7281/t1/1ecvb0/o7obuv
title: DustOff-monthly-average_wrfout_d01_2016-03_12_mean.nc
DOI: 10.7281/t1/1ecvb0/s9qjqz
title: DustOff-monthly-average_wrfout_d01_2016-04_12_mean.nc
DOI: 10.7281/t1/1ecvb0/slxgrg
title: DustOff-monthly-average_wrfout_d01_2016-09_12_mean.nc
DOI: 10.7281/t1/1ecvb0/u55xmx
title: DustOn-monthly-average_wrfout_d01_2005-04_18_mean.nc
DOI: 10.7281/t1/1ecvb0/ubgr1a
title: DustOn-monthly-average_wrfout_d01_2005-08_06_mean.nc
DOI: 10.7281/t1/1ecvb0/uzz2ap
title: DustOff-monthly-standard-deviation_wrfout_d01_2013-08_18_std.nc
DOI: 10.7281/t1/1ecvb0/vhrwsu
title: DustOff-monthly-average_wrfout_d01_2016-03_00_mean.nc
DOI: 10.7281/t1/1ecvb0/vpcnmn
title: DustOn-monthly-average_wrfout_d01_2005-05_06_mean.nc
DOI: 10.7281/t1/1ecvb0/wav5c8
title: DustOff-monthly-average_wrfout_d01_2016-09_00_mean.nc
DOI: 10.7281/t1/1ecvb0/ybknqq
title: DustOff-monthly-standard-deviation_wrfout_d01_2013-03_12_std.nc
DOI: 10.17632/4j8hcv62j3.2
title: Bond of steel reinforcement in self-compacting concrete

description: The data represent the simulated data obtained using the proposed equation in a previously published research article of the author (Eq. 6), to predict the peak bond stress in self-compacting concrete (SCC). The data consisted of 500 simulations for various concrete grades (C12, C16, C20, C25, C30, C35, C40, C45, and C50) and reinforcing steel bar diameters (10, 12, 16, 20, and 25 mm). The first 20 data correspond to the predicted values of the peak bond stress considering the parameters used in a previous research article of the author. These data are valid for well-confined concrete in which pull-out failure may occur. For additional information about the bond model please consult the reference below. Abbreviations used in the data collection: f_cm = mean value of concrete cylinder compressive strength φ = diameter of the anchored bar c_min = minimum concrete cover l_d = bond length a_max = height of transverse ribs c = distance between transverse ribs f_R = relative rib area n_t = number of legs of confining reinforcement crossing a potential splitting failure surface at a section A_st = cross sectional area of one leg of a confining bar n_b = number of anchored bars s_t = longitudinal spacing of confining reinforcement K_tr = density of transverse reinforcement τ_R = peak bond stress calculated with Eq. (6) MC2010 = peak bond stress from fib Model Code 2010 τ_R/MC2010 = ratio between the peak bond calculated with Eq. (6) and the peak bond from Model Code 2010
DOI: 10.17632/bffc8w295s.1
title: network_tests2 benchmark results from Lomonosov, Lomonosov-2, K60, Bluegene, Regatta supercomputers

description: This dataset contains information about interconnect delays of different supercomputers during data transmissions using different commutation patterns. All measurements are structured by folders. Each folder contains several files, their contains can be interpreted as follows: description.txt - text file, containing information about collected measures: name of supercomputer, date of testing, number of tested nodes, number of tested process, network_tests2 test mode and parameters for launch such as begin message length in bytes, end message length in bytes, change of message length in bytes after all iterations passed, number of iterations of testing on one message length. network_hosts.txt - text file, containing names of hosts, which were used for launch. Another files are information about delays represented as different statistics: median, standard deviation, min and mean. All data is stored in NetCDF4 format. In our dataset these files contain following variables: "data" - 3-dimensional array with information about delays between different MPI-processes, first axis represent message length, second - number of "sender" process, third - number of "receiver" process; "num_proc" - number of tested processes; "beg_mes_len" - begin message length in bytes; "end_mes_len" - end message length in bytes; "step_length" - change of message length in bytes after all iterations passed.
DOI: 10.17632/wxc76n2s2m.2
title: Geochronological and geochemical data for igneous rocks from the Jilin area

description: We present new geochronological, whole-rock geochemical data, and zircon Hf isotopic data from middle Permian to Middle Jurassic igneous rocks that occur near the Changchun-Yanji Suture in the area of Jilin city. These new data can (1) constrain the timing of magmatism and elucidate the spatio-temporal distribution of magmatism; (2) characterize the petrogenesis of the igneous rocks and their possible sources; and (3) provide new insights into the tectonic setting during magmatism. Together with geological evidence from this area allow us to better understand the transition in the tectonic regime during the Late Paleozoic and Mesozoic. Based on zircon U–Pb ages and geochemical data, the following conclusions are drawn. 1. Middle Permian to Middle Jurassic igneous rocks in the area of Jilin were emplaced during four major phases, at ca. 261 Ma, 253–244 Ma, 183–175 Ma, and 173–164 Ma. 2. The earliest phase of magmatism, at ca. 261 Ma, was generated in an active continental margin by partial melting of juvenile mafic lower crustal material. Magmatism at 253–244 Ma was generated in a continental arc environment by partial melting of juvenile mafic subducted oceanic crust. At 183–175 Ma, monzogranitic and dioritic magmas were generated in a continental arc environment via melting of juvenile lower continental crust and mixing of basaltic magma with crustal melt, respectively. The final stage of magmatism, at 173–164 Ma, formed in an active continental margin, generated by melting of juvenile lower continental crust. 3. Integrated evidence suggests that the closure of the Paleo-Asian Ocean could occur at 244–227 Ma, whereas the timing of tectonic regime transition from the influence of Paleo-Asian Ocean subduction to the subduction of the Paleo-Pacific Ocean occurred between Late Triassic and Early Jurassic (223–185 Ma). 4. The Changchun-Yanji Suture experienced multiple tectonic mode switches from Late Paleozoic to Mesozoic, and was controlled by subduction of the Paleo-Pacific Ocean since Early Jurassic.
DOI: 10.17632/z5cz9n78j7.1
title: Dataset of conditions to isolate CNC from CSB and PSW

description: See the paper related to these dataset
DOI: 10.7281/t1/1ecvb0/5hhfrx
title: DustOn-monthly-average_wrfout_d01_2005-06_12_mean.nc
DOI: 10.7281/t1/1ecvb0/g1x3nm
title: DustOff-monthly-standard-deviation_wrfout_d01_2015-09_06_std.nc
DOI: 10.7281/t1/1ecvb0/gsfvug
title: DustOn-monthly-average_wrfout_d01_2005-04_12_mean.nc
DOI: 10.7281/t1/1ecvb0/h3jboz
title: DustOff-monthly-standard-deviation_wrfout_d01_2015-09_18_std.nc
DOI: 10.7281/t1/1ecvb0/hzh8h0
title: DustOff-monthly-average_wrfout_d01_2016-09_18_mean.nc
DOI: 10.7281/t1/1ecvb0/igkpgh
title: DustOff-monthly-standard-deviation_wrfout_d01_2013-09_00_std.nc
DOI: 10.7281/t1/1ecvb0/int26s
title: DustOn-monthly-average_wrfout_d01_2005-09_12_mean.nc
DOI: 10.7281/t1/1ecvb0/jbipsq
title: DustOff-monthly-standard-deviation_wrfout_d01_2015-05_00_std.nc
DOI: 10.7281/t1/1ecvb0/kt6km8
title: DustOff-monthly-average_wrfout_d01_2016-10_18_mean.nc
DOI: 10.7281/t1/1ecvb0/mpouix
title: DustOff-monthly-average_wrfout_d01_2016-05_06_mean.nc
DOI: 10.7281/t1/1ecvb0/n2rgre
title: DustOn-monthly-average_wrfout_d01_2005-03_00_mean.nc
DOI: 10.7281/t1/1ecvb0/skwbg0
title: DustOn-monthly-average_wrfout_d01_2005-10_12_mean.nc
DOI: 10.7281/t1/1ecvb0/sodvan
title: DustOff-monthly-standard-deviation_wrfout_d01_2015-05_12_std.nc
DOI: 10.7281/t1/1ecvb0/t9atb2
title: DustOff-monthly-standard-deviation_wrfout_d01_2013-10_00_std.nc
DOI: 10.7281/t1/1ecvb0/tnerd4
title: DustOff-monthly-standard-deviation_wrfout_d01_2013-03_06_std.nc
DOI: 10.7281/t1/1ecvb0/u59c20
title: DustOn-monthly-average_wrfout_d01_2005-03_18_mean.nc
DOI: 10.7281/t1/1ecvb0/veawfs
title: DustOff-monthly-standard-deviation_wrfout_d01_2015-03_12_std.nc
DOI: 10.7281/t1/1ecvb0/wwllm6
title: DustOn-monthly-average_wrfout_d01_2005-07_06_mean.nc
DOI: 10.7281/t1/1ecvb0/xccazx
title: DustOff-monthly-standard-deviation_wrfout_d01_2015-03_00_std.nc
DOI: 10.7281/t1/1ecvb0/xkifiq
title: DustOff-monthly-average_wrfout_d01_2016-04_18_mean.nc
DOI: 10.7281/t1/1ecvb0/xru9rd
title: DustOn-monthly-average_wrfout_d01_2005-06_00_mean.nc
DOI: 10.7281/t1/1ecvb0/zxqrsr
title: DustOff-monthly-average_wrfout_d01_2016-06_12_mean.nc
DOI: 10.17632/29kxx95hvg.1
title: Data for VT Flash using PC-SAFT

description: Tecplot data format. In order it presents molar density [mol/m3], temperature[K], one-phase pressure[Pa], equilibrium pressure[Pa], vapor volume fraction [-], number of flash iterations [-] and final value of objective function [J] .
DOI: 10.17632/bffc8w295s.2
title: network_tests2 benchmark results from Lomonosov, Lomonosov-2, K60, Juropa supercomputers

description: This dataset contains information about interconnect delays of different supercomputers during data transmissions using different commutation patterns. All measurements are structured by folders. Each folder contains several files, their contains can be interpreted as follows: description.txt - text file, containing information about collected measures: name of supercomputer, date of testing, number of tested nodes, number of tested process, network_tests2 test mode and parameters for launch such as begin message length in bytes, end message length in bytes, change of message length in bytes after all iterations passed, number of iterations of testing on one message length. network_hosts.txt - text file, containing names of hosts, which were used for launch. Another files are information about delays represented as different statistics: median, standard deviation, min and mean. All data is stored in NetCDF4 format. In our dataset these files contain following variables: "data" - 3-dimensional array with information about delays between different MPI-processes, first axis represent message length, second - number of "sender" process, third - number of "receiver" process; "num_proc" - number of tested processes; "beg_mes_len" - begin message length in bytes; "end_mes_len" - end message length in bytes; "step_length" - change of message length in bytes after all iterations passed.
DOI: 10.17632/wz5gk6xmtz.1
title: HPWS-AC-OC Research

description: Data from a Colombian research in 2018.
DOI: 10.7281/t1/1ecvb0/06qc0h
title: DustOff-monthly-standard-deviation_wrfout_d01_2015-10_18_std.nc
DOI: 10.7281/t1/1ecvb0/6tzqx7
title: DustOff-monthly-average_wrfout_d01_2016-05_12_mean.nc
DOI: 10.7281/t1/1ecvb0/ctfutq
title: DustOn-monthly-average_wrfout_d01_2005-06_18_mean.nc
DOI: 10.7281/t1/1ecvb0/ddhzly
title: DustOn-monthly-average_wrfout_d01_2005-05_00_mean.nc
DOI: 10.7281/t1/1ecvb0/ddkyxw
title: DustOn-monthly-average_wrfout_d01_2005-07_12_mean.nc
DOI: 10.7281/t1/1ecvb0/ddlmaj
title: DustOff-monthly-standard-deviation_wrfout_d01_2015-04_06_std.nc
DOI: 10.7281/t1/1ecvb0/h8xjpn
title: DustOff-monthly-standard-deviation_wrfout_d01_2015-03_06_std.nc
DOI: 10.7281/t1/1ecvb0/imi6jc
title: DustOff-monthly-average_wrfout_d01_2016-06_06_mean.nc
DOI: 10.7281/t1/1ecvb0/mbtqmk
title: DustOff-monthly-standard-deviation_wrfout_d01_2015-04_18_std.nc
DOI: 10.7281/t1/1ecvb0/ojotbp
title: DustOff-monthly-average_wrfout_d01_2016-07_18_mean.nc
DOI: 10.7281/t1/1ecvb0/ou0bmv
title: DustOff-monthly-standard-deviation_wrfout_d01_2015-04_00_std.nc
DOI: 10.7281/t1/1ecvb0/poefjx
title: DustOff-monthly-standard-deviation_wrfout_d01_2015-10_06_std.nc
DOI: 10.7281/t1/1ecvb0/srvbzc
title: DustOff-monthly-standard-deviation_wrfout_d01_2015-03_18_std.nc
DOI: 10.7281/t1/1ecvb0/tyhizq
title: DustOn-monthly-average_wrfout_d01_2005-10_06_mean.nc
DOI: 10.7281/t1/1ecvb0/ua3im1
title: DustOff-monthly-standard-deviation_wrfout_d01_2015-08_12_std.nc
DOI: 10.7281/t1/1ecvb0/uj0bff
title: DustOn-monthly-average_wrfout_d01_2005-08_18_mean.nc
DOI: 10.7281/t1/1ecvb0/umi4dp
title: DustOff-monthly-average_wrfout_d01_2016-10_00_mean.nc
DOI: 10.7281/t1/1ecvb0/uzanhm
title: DustOn-monthly-average_wrfout_d01_2005-09_06_mean.nc
DOI: 10.7281/t1/1ecvb0/vv3fn1
title: DustOff-monthly-average_wrfout_d01_2016-08_12_mean.nc
DOI: 10.7281/t1/1ecvb0/wwzfuf
title: DustOff-monthly-standard-deviation_wrfout_d01_2015-08_00_std.nc
DOI: 10.7281/t1/1ecvb0/xxwcmw
title: DustOn-monthly-average_wrfout_d01_2005-05_18_mean.nc
DOI: 10.7281/t1/1ecvb0/ynsjl4
title: DustOn-monthly-average_wrfout_d01_2005-08_00_mean.nc
DOI: 10.7281/t1/1ecvb0/zdedyu
title: DustOff-monthly-average_wrfout_d01_2016-03_06_mean.nc
DOI: 10.17632/2gm494cbmv.1
title: Data for: The effectiveness of setback zones for adapting to sea-level rise in Croatia

description: This dataset is the dataset of the results used for figures and table in the paper Lincke, D., Wolff, C., Hinkel, J., Vafeidis, A.T., Blickensdörfer, L., Povh Skugor, D. (2020). The effectiveness of setback zones for adapting to sea-level rise in Croatia. Regional Environmental Change 20(46). https://doi.org/10.1007/s10113-020-01628-3 It consists from four files: admin_output.csv - A spreadsheet with the results of all runs on municipality level. country_output.csv - A spreadsheet with the results of all runs on national level. croatia_cls_input.csv - A spreadsheet with the input data to the coastal segments. croatia_segemnts.zip - A zipped shapefile with the 1560 croatian coastline segments used in the study. Readme.txt - the documentation. Please see the Readme.txt for more information.
DOI: 10.17632/5cpzngd93x.1
title: Dataset for estimate coarse root and root collar biomass in ecotone forests on the eastern of Maracá Island, northern Brazilian Amazonia

description: The dataset provides information on coarse root (≥ 20mm) and root collar (area just below the soil line where the roots join the main stem) biomass, for trees (stem diameter ≥ 10cm) in ecotone forests located on the eastern of Maracá Ecological Station, northern Brazilian Amazonia. This area represents an ecotone zone dominated by mosaics of ombrophilous and seasonal forests. Our sampling took into consideration 65 trees characterized as natural treefalls (live trees toppled by wind or individuals that were physically felled by other trees that fell against them) observed in the PPBio (Biodiversity Research Program) 25-km2 research grid installed in the eastern of Maracá Island. The selection criteria for including trees in the sample took into consideration a careful inspection in order to choose only recently fallen individuals (live or dead) that were in a good state of preservation, discarding all individuals with hollow trunks, broken stems, broken canopies or with signs of rotting, as specified in Barbosa et al. (2019). Acta Amazonica 49: 81-90. The fieldwork was carried among July/2015 and October/2016 when we collected biometric measures (total height and stem diameter) and estimate the coarse root/collar root biomass by indirect measures for each individual tree. All sampled trees had most of the coarse roots exposed (≥ 20mm), being possible to measure each one (diameter and total lenght) and estimate its individual volume (m3). The sum of each individual volume (= total volume in m3) was multiplied by its specific gravity (g cm-3; roots) to estimate the coarse root biomass (Mg) by each tree. The root collar biomass was estimated using the measurements of the collar lenght (distance between the soil line and the first insertion of coarse roots) and the stem diameter. So, we calculated the individual volume (m3) of each tree and estimated its biomass applying the specific gravity (g cm-3; stem). Our dataset has one files (coarse_root) where are presented the code for each sampled tree (treeID), associated to its taxonomic identification (family; species), sampling date, altitude (m a.s.l.), POM (point of measure of stem diameter), stem diameter (cm), total height (m), root collar lenght (cm), specific gravity (g cm-3; stems and roots), and estimates for coarse root and collar root biomass (Mg). The dataset was supported by the Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq - Brazil), project “Crescimento e mortalidade de árvores em florestas ecotonais de Roraima: efeito das condicionantes ambientais e da variabilidade climática” (Proc. CNPq n. 403591/2016-3). The CNPq also provided a fellowship for R.I. Barbosa (CNPq 304204/2015-3). P.N. Ramirez-Narvaez and C.D.A. Villacorta were supported by postgraduate fellowships from the Organization of American States (OAS). Instituto Chico Mendes de Conservação da Biodiversidade (ICMBio) provided authorization for the study (SISBIO n. 52017).
DOI: 10.17632/fzwzf5bzvy.2
title: MicroCT scan of gyroid lattice structure produced by laser powder bed fusion in Ti6Al4V

description: This processed dataset can be viewed by free software myVGL by opening the VGL file. It is a gyroid lattice structure coupon sample of 15 mm width, cube shape with 50% density. Deviations of actual from design are colour coded. Related to a publication submitted, will be referenced.
DOI: 10.17632/gv5j2gk467.11
title: Decoding and Systematization of Medical Imaging Features of Multiple Human Malignancies

description: Here are all the raw data about the study of "Decoding and Systematization of Medical Imaging Features of Multiple Human Malignancies". Including the proposed correlation atlas to clarify the relationship between medical imaging features and human malignancies, and the CT image dataset of 1000 lung cancer patients for discovering the pattern of distribution of values of the texture features and explaining the visual difference of different image feature values, and all of the source code of this study.