cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15468/6eatt8
title: New water strider species of Eurymetra from Madagascar (Hemiptera: Heteroptera: Gerridae)

description: This dataset contains the digitized treatments in Plazi based on the original journal article Zettel, Herbert (2020): New water strider species of Eurymetra from Madagascar (Hemiptera: Heteroptera: Gerridae). Acta Entomologica Musei Nationalis Pragae 60 (1): 15-22, DOI: 10.37520/aemnp.2020.002
DOI: 10.15468/5hpacy
title: Three new species of the genus Sphaerobulbus from China (Coleoptera: Staphylinidae)

description: This dataset contains the digitized treatments in Plazi based on the original journal article Zhao, Xin, Tang, Liang (2020): Three new species of the genus Sphaerobulbus from China (Coleoptera: Staphylinidae). Acta Entomologica Musei Nationalis Pragae 60 (1): 333-341, DOI: 10.37520/aemnp.2020.019
DOI: 10.5281/zenodo.3880631
title: Arbitration of I/O Forwarding Resources

description: This repository contains datasets, source-codes, and parsing scripts from our paper.
DOI: 10.5281/zenodo.3880632
title: Arbitration of I/O Forwarding Resources

description: This repository contains datasets, source-codes, and parsing scripts from our paper.
DOI: 10.5281/zenodo.3880654
title: Arbitration of I/O Forwarding Resources

description: This repository contains the datasets, source-codes, and parsing scripts from our paper.
DOI: 10.5281/zenodo.3880655
title: Arbitration of I/O Forwarding Resources

description: This repository contains the datasets, source-codes, and parsing scripts from our paper.
DOI: 10.15468/26gfnv
title: New species of karst-dwelling Pselaphinae from southwestern China (Coleoptera: Staphylinidae)

description: This dataset contains the digitized treatments in Plazi based on the original journal article Yin, Zi-Wei (2020): New species of karst-dwelling Pselaphinae from southwestern China (Coleoptera: Staphylinidae). Acta Entomologica Musei Nationalis Pragae 60 (1): 163-168, DOI: 10.37520/aemnp.2020.009
DOI: 10.17632/7n4b33wtxg.1
title: Data for: Comparison of precipitation kinetics and mechanical properties in Zr and Sc-bearing aluminum-based alloys

description: These data of Figure 1 in manuscript.
DOI: 10.21227/hn6x-3s32
title: Coronavirus (COVID-19) Geo-tagged Tweets Dataset

description: This dataset contains the IDs of geo-tagged tweets. The tweets were captured by an on-going project deployed at https://live.rlamsal.com.np. The geolocation data was extracted from the tweets which mentioned anything about “corona”, "coronavirus", "covid" and possible variants of "sarscov2", "nCov", "covid-19", "ncov2019". Complying with Twitter's content redistribution policy, only the tweet IDs are shared. You can re-construct the dataset by hydrating these IDs. The tweet IDs in this dataset belong to the tweets tweeted providing an exact location. Please note that this dataset should be solely used for non-commercial research purposes (ignore every other LICENSE category given on this page).Note: I started sharing the IDs of the tweets that contained the exact location information, only since April 28, 2020, with some genuine requests coming in from academic researchers who did not want to hydrate the whole lists of IDs (above 150+ million tweets) shared in the Coronavirus (COVID-19) Tweets Dataset.If you need the geolocation-based data starting March 20, 2020, then use the Coronavirus (COVID-19) Tweets Dataset and hydrate the IDs while adding the following condition:data = json.loads(data)if data["coordinates"]: longitude, latitude = data["coordinates"]["coordinates"]The data is available in two formats: CSV and JSON. I'll be sharing new files every day, and the files will be named period-wise. For example, april28-april29.* will contain tweet ID and sentiment data of the tweets that were tweeted between April 28, 2020, and April 29, 2020.Why are only tweet IDs being shared? It is Twitter's content redistribution policy that restricts the sharing of tweet information other than tweet IDs and/or user IDs. Twitter wants researchers to always pull fresh data using their API. Why? Here's my opinion. Maybe, some user might want to delete a particular tweet after a couple of minute(s)/hour(s)/day(s), and if the same tweet has already been pulled and is shared on a public domain, then it might make the user/community vulnerable to many inferences coming out of the shared data.
DOI: 10.5281/zenodo.3880519
title: Output from the PISCES Cobalt biogeochemical ocean model

description: Output from the PISCES biogeochemical model used in Hawco et al. 2020 PNAS. This model was originally developed and published in Tagliabue A, et al. (2018) [The Role of External Inputs and Internal Cycling in Shaping the Global Ocean Cobalt Distribution: Insights From the First Cobalt Biogeochemical Model. Global Biogeochem Cycles 32(4):594–616.] but with the base model modified as described by Aumont O, et al. (2017) [Variable reactivity of particulate organic matter in a global ocean biogeochemical model. Biogeosciences 14(9):2321–2341.]. All fields are annual averages. For more information see www.pnas.org/cgi/doi/10.1073/pnas.2001393117
DOI: 10.5281/zenodo.3880520
title: Output from the PISCES Cobalt biogeochemical ocean model

description: Output from the PISCES biogeochemical model used in Hawco et al. 2020 PNAS. This model was originally developed and published in Tagliabue A, et al. (2018) [The Role of External Inputs and Internal Cycling in Shaping the Global Ocean Cobalt Distribution: Insights From the First Cobalt Biogeochemical Model. Global Biogeochem Cycles 32(4):594–616.] but with the base model modified as described by Aumont O, et al. (2017) [Variable reactivity of particulate organic matter in a global ocean biogeochemical model. Biogeosciences 14(9):2321–2341.]. All fields are annual averages. For more information see www.pnas.org/cgi/doi/10.1073/pnas.2001393117
DOI: 10.25584/1632006
title: A high-resolution database of mesoscale convective systems and isolated deep convection in the United States for 2004 – 2017

description: The database provides high-resolution (4-km, hourly) information of mesoscale convective systems (MCSs) and isolated deep convection events (IDC) east of the Rocky Mountains over the contiguous United States from 2004 – 2017. The database contains various characteristics of MCSs and IDC, such as their lifecycle evolutions, lifetimes, spatial coverages, echo-top heights, precipitation features, convective and stratiform separation, convective core features, propagation speed, etc.
DOI: 10.15468/myjvv9
title: The discovery of the genus Bryanellocoris from Laos, with description of a new species (Heteroptera: Rhyparochromidae)

description: This dataset contains the digitized treatments in Plazi based on the original journal article Ban, Teruaki, Szx, Olympus, Cmos, Color, Vhx-, Keyence (2020): The discovery of the genus Bryanellocoris from Laos, with description of a new species (Heteroptera: Rhyparochromidae). Acta Entomologica Musei Nationalis Pragae 60 (1): 169-172, DOI: 10.37520/aemnp.2020.010
DOI: 10.15468/xv9w8b
title: Scobinigaster, a new genus of Lethaeini from Madagascar (Hemiptera: Heteroptera: Rhyparochromidae)

description: This dataset contains the digitized treatments in Plazi based on the original journal article Kondorosy, El?d, Z?mb?, Andr?s, Kov?cs, Szilvia, Ba?a?, Petr, Km, Recently (2020): Scobinigaster, a new genus of Lethaeini from Madagascar (Hemiptera: Heteroptera: Rhyparochromidae). Acta Entomologica Musei Nationalis Pragae 60 (1): 343-352, DOI: 10.37520/aemnp.2020.020
DOI: 10.25345/c5nq6x
title: MassIVE MSV000085558 - Acetylproteomics analyses reveal critical features of lysine-epsilon-acetylation in Arabidopsis and a role of 14-3-3 protein acetylation in alkaline response
title: Lysine-epsilon-acetylation (Kac) is a post-translational modification (PTM) that is critical for metabolic regulation and cell signaling in mammals. However, its prevalence and importance in plants remain to be determined. Employing high-resolution tandem mass spectrometry, we analyzed protein lysine acetylation in five representative Arabidopsis organs with 2~3 biological replicates per organ. A total of 5,656 Kac proteins and 11,861 Kac sites were identified. This comprehensive catalog brings the number of Kac events in plants to the same level as protein phosphorylation and allows us to analyze proteome-wide features of lysine acetylation. We found that Kac proteins tend to be more uniformly expressed in different organs, and the acetylation status exhibits little correlation with the gene expression level, indicating that acetylation is unlikely caused by stochastic processes. Kac preferentially targets evolutionarily conserved proteins and lysine residues, but only a small percentage of Kac proteins are orthologous between rat and Arabidopsis. A large portion of Kac proteins overlap with proteins modified by other PTMs including ubiquitination, SUMOylation and phosphorylation. Although acetylation, ubiquitination and SUMOylation all modify lysine residues, our analyses show that they rarely target the same sites. In addition, we found that reader proteins for acetylation and phosphorylation, i.e., bromodomain-containing proteins and GRF (General Regulatory Factor)/14-3-3 proteins, are intensively modified by the two PTMs, suggesting that they are main crosstalk nodes between acetylation and phosphorylation signaling. Analyses of GRF6/14-3-3 lamda reveal that the Kac level of GRF6 is decreased under alkaline stress, suggesting that acetylation represses plant alkaline response. Indeed, K56ac of GRF6 inhibits its binding to and subsequent activation of the plasma membrane H+-ATPase AHA2, leading to hypersensitivity to alkaline stress. These results provide valuable resources for protein acetylation studies in plants and reveal that protein acetylation suppresses phosphorylation output by acetylating GRF/14-3-3 proteins.
DOI: 10.7910/dvn/5u9zrz/0nhz2x
title: Table 1_VSG.tab

description: :unav
DOI: 10.7910/dvn/5u9zrz/4yf96m
title: Figure 1a.tab

description: :unav
DOI: 10.7910/dvn/5u9zrz/xgggh4
title: Table 1_CCES.tab

description: :unav
DOI: 10.7910/dvn/5u9zrz
title: Replication Data for: Egan, Konisky, Mullin, Partisan conflict over climate change has polarized Americans’ broader attitudes on the environment

description: Replication data for Egan, Konisky, Mullin (under review).
DOI: 10.7910/dvn/5u9zrz/bxjazy
title: Figure 1b.tab

description: :unav
DOI: 10.7910/dvn/5u9zrz/iuw2xe
title: Figure 2.tab

description: :unav
DOI: 10.7910/dvn/5u9zrz/k3diz3
title: Figure 3.tab

description: :unav
DOI: 10.7910/dvn/xggjav/2vwtkb
title: GAEZAct2015_Yield_Cotton_Irrigated.tif

description: :unav
DOI: 10.7910/dvn/xggjav/5uweia
title: GAEZAct2015_Yield_Rapeseed_Irrigated.tif

description: :unav
DOI: 10.7910/dvn/xggjav/6kts3s
title: GAEZAct2015_Yield_Stimulants_Rainfed.tif

description: :unav
DOI: 10.7910/dvn/xggjav/myu7r0
title: GAEZAct2015_Yield_Barley_Rainfed.tif

description: :unav
DOI: 10.7910/dvn/xggjav/n1vwot
title: GAEZAct2015_Yield_Barley_Irrigated.tif

description: :unav
DOI: 10.7910/dvn/xggjav/qmrvho
title: GAEZAct2015_Yield_Millet_Irrigated.tif

description: :unav
DOI: 10.7910/dvn/xggjav/weef7w
title: GAEZAct2015_Yield_Groundnut_Irrigated.tif

description: :unav
DOI: 10.7910/dvn/xggjav/woverl
title: GAEZAct2015_Yield_Cassava_Irrigated.tif

description: :unav
DOI: 10.7910/dvn/xggjav/2r5k96
title: GAEZAct2015_Yield_CropsNES_Irrigated.tif

description: :unav
DOI: 10.7910/dvn/xggjav/3r8jaa
title: GAEZAct2015_Yield_Wheat_Irrigated.tif

description: :unav
DOI: 10.7910/dvn/xggjav/aaz4nl
title: GAEZAct2015_Yield_Othercereals_Rainfed.tif

description: :unav
DOI: 10.7910/dvn/xggjav/cvzwwj
title: GAEZAct2015_Yield_CropsNES_Rainfed.tif

description: :unav
DOI: 10.7910/dvn/xggjav/dfv2tv
title: GAEZAct2015_Yield_Soybean_Rainfed.tif

description: :unav
DOI: 10.7910/dvn/xggjav/hd5hsf
title: GAEZAct2015_Yield_Sugarbeet_Rainfed.tif

description: :unav
DOI: 10.7910/dvn/xggjav/v9la8d
title: GAEZAct2015_Yield_Sorghum_Rainfed.tif

description: :unav
DOI: 10.7910/dvn/xggjav/wqag0w
title: GAEZAct2015_Yield_Sunflower_Irrigated.tif

description: :unav
DOI: 10.7910/dvn/xggjav/9g7z5p
title: GAEZAct2015_Yield_Tobacco_Irrigated.tif

description: :unav
DOI: 10.7910/dvn/xggjav/bj7uta
title: GAEZAct2015_Yield_Maize_Irrigated.tif

description: :unav
DOI: 10.7910/dvn/xggjav/h14ywk
title: GAEZAct2015_Yield_Sorghum_Irrigated.tif

description: :unav
DOI: 10.7910/dvn/xggjav/n6abig
title: GAEZAct2015_Yield_Millet_Rainfed.tif

description: :unav
DOI: 10.7910/dvn/xggjav/qvdecm
title: GAEZAct2015_Yield_Maize_Rainfed.tif

description: :unav
DOI: 10.7910/dvn/xggjav/sxzusb
title: GAEZAct2015_Yield_Cassava_Rainfed.tif

description: :unav
DOI: 10.7910/dvn/xggjav/wfzcl1
title: GAEZAct2015_Yield_Rice_Irrigated.tif

description: :unav
DOI: 10.7910/dvn/xggjav/yl4hfq
title: GAEZAct2015_Yield_PotatoAndSweetpotato_Rainfed.tif

description: :unav
DOI: 10.7910/dvn/xggjav/1whmdw
title: GAEZAct2015_Yield_Sugarbeet_Irrigated.tif

description: :unav
DOI: 10.7910/dvn/xggjav/edrzri
title: GAEZAct2015_Yield_Yamsandotherroots_Irrigated.tif

description: :unav
DOI: 10.7910/dvn/xggjav/swzabg
title: GAEZAct2015_Yield_Groundnut_Rainfed.tif

description: :unav
DOI: 10.7910/dvn/xggjav/0amn4b
title: GAEZAct2015_Yield_Oilpalmfruit_Irrigated.tif

description: :unav
DOI: 10.7910/dvn/xggjav/1ikdhp
title: GAEZAct2015_Yield_Wheat_Rainfed.tif

description: :unav
DOI: 10.7910/dvn/xggjav/llngv9
title: GAEZAct2015_Yield_Vegetables_Rainfed.tif

description: :unav
DOI: 10.7910/dvn/xggjav/o3qab3
title: GAEZAct2015_Yield_Olives_Irrigated.tif

description: :unav
DOI: 10.7910/dvn/xggjav/s2wjdg
title: GAEZAct2015_Yield_Sunflower_Rainfed.tif

description: :unav
DOI: 10.7910/dvn/xggjav/9zefvu
title: GAEZAct2015_Yield_Banana_Rainfed.tif

description: :unav
DOI: 10.7910/dvn/xggjav/apbfmt
title: GAEZAct2015_Yield_Rice_Rainfed.tif

description: :unav
DOI: 10.7910/dvn/xggjav/j4oird
title: GAEZAct2015_Yield_Olives_Rainfed.tif

description: :unav
DOI: 10.7910/dvn/xggjav/jylbgc
title: GAEZAct2015_Yield_Oilpalmfruit_Rainfed.tif

description: :unav
DOI: 10.7910/dvn/xggjav/r4l4jx
title: GAEZAct2015_Yield_Rapeseed_Rainfed.tif

description: :unav
DOI: 10.7910/dvn/xggjav/uj5hyn
title: GAEZAct2015_Yield_Soybean_Irrigated.tif

description: :unav
DOI: 10.7910/dvn/xggjav/xqranu
title: GAEZAct2015_Yield_Foddercrops_Rainfed.tif

description: :unav
DOI: 10.7910/dvn/xggjav/y9eeqs
title: GAEZAct2015_Yield_Sugarcane_Rainfed.tif

description: :unav
DOI: 10.7910/dvn/xggjav/enfxyc
title: GAEZAct2015_Yield_PotatoAndSweetpotato_Irrigated.tif

description: :unav
DOI: 10.7910/dvn/xggjav/flrzwv
title: GAEZAct2015_Yield_Othercereals_Irrigated.tif

description: :unav
DOI: 10.7910/dvn/xggjav/j1uogz
title: GAEZAct2015_Yield_Tobacco_Rainfed.tif

description: :unav
DOI: 10.7910/dvn/xggjav/onkkvw
title: GAEZAct2015_Yield_Pulses_Rainfed.tif

description: :unav
DOI: 10.7910/dvn/xggjav/qkwrqy
title: GAEZAct2015_Yield_Foddercrops_Irrigated.tif

description: :unav
DOI: 10.7910/dvn/xggjav/qw5aaj
title: GAEZAct2015_Yield_Yamsandotherroots_Rainfed.tif

description: :unav
DOI: 10.7910/dvn/xggjav/soksjc
title: GAEZAct2015_Yield_Banana_Irrigated.tif

description: :unav
DOI: 10.7910/dvn/xggjav/us2qtm
title: GAEZAct2015_Yield_Stimulants_Irrigated.tif

description: :unav
DOI: 10.7910/dvn/xggjav/doerpm
title: GAEZ+_2015 metadata.pdf

description: MetadataPDF
DOI: 10.7910/dvn/xggjav/ma18zi
title: GAEZAct2015_Yield_Cotton_Rainfed.tif

description: :unav
DOI: 10.7910/dvn/xggjav/qhh6ri
title: GAEZAct2015_Yield_Pulses_Irrigated.tif

description: :unav
DOI: 10.7910/dvn/xggjav/vfqbu4
title: GAEZAct2015_Yield_Sugarcane_Irrigated.tif

description: :unav
DOI: 10.7910/dvn/xggjav/wkldh3
title: GAEZAct2015_Yield_Vegetables_Irrigated.tif

description: :unav
DOI: 10.21227/6bdr-4w65
title: GIB ERP-based BCI dataset

description: Test
DOI: 10.21227/vk6v-s743
title: GIB ERP-based BCI dataset

description: Test
DOI: 10.5281/zenodo.3881268
title: JGR-Atmosphere-wengang

description: updated datasets for manuscript of JGR-Atmosphere of wengang
DOI: 10.21227/a732-4s90
title: GIB ERP-based BCI dataset

description: Test
DOI: 10.21227/8ng1-w110
title: GIB ERP-based BCI dataset

description: Test
DOI: 10.21227/532k-dy34
title: GIB ERP-based BCI dataset

description: Test
DOI: 10.21227/64zg-wy52
title: Adaptive Block Compressive Sensing: towards a real-time and low complexity implementation - Supplementary Material

description: Supplementary material for the paper: 'Adaptive Block Compressive Imaging: towards a real-time and low complexity implementation'
DOI: 10.15472/pzmfm6
title: Vegetación asociada a áreas degradadas por minería en jigualito, Condoto-Chocó.

description: La minería conjuntamente con la exploración de petróleo, amenaza el 38% de las últimas extensiones de bosques primarios del mundo (Fonseca 2004), en algunos casos, los daños ocasionados al ecosistema son tan severos, prolongados e intensos que pueden afectar el proceso de auto regeneración, en consecuencia, se disminuye la capacidad de restablecer los ciclos naturales que integran un ecosistema (Bradshaw 1983). A causa de este tipo de actividades muchos ecosistemas valiosos se han degradado y fragmentado, perdiendo su biodiversidad y su capacidad de generar importantes procesos biológicos y servicios ecosistémicos, (Andrade y Castro 2012). En este sentido la fragmentación de ecosistemas a causas de actividades como la minería podría ser considerada, como una de las principales causantes de grandes cambios en el ambiente físico-biótico, en donde la composición, estructura y función original de un ecosistema se han alterado (por ejemplo la pérdida en la conectividad, la creación de bordes sobre el hábitat, o el aislamiento de fragmentos de bosque), provocando dinámicas muy diferentes sobre las poblaciones biológicas que allí se sustentan (Rudas et al. 2007). En Colombia el sector minero ha mostrado un auge importante en la última década, convertido la actividad minera en un atractivo para la inversión tanto nacional como extranjera, lo que ha aumentado los procesos tanto de exploración como de explotación en zonas de importancia forestal (García 2014). El presente estudio hace un análisis comparativo de tres áreas mineras a cielo abierto con diferentes edades tras el cesé de la actividad y un bosque testigo para evaluar los cambios sucesionales de los ecosistemas selváticos y lluviosos del Chocó afectados por la minería.
DOI: 10.5281/zenodo.3881863
title: Hippocampal CA1 pyramidal cell demonstrating dynamic mode switching (Berteau & Bullock 2020)

description: Zenodo record for Berteau Bollock 2020 model on github and modeldb: The code for Berteau & Bullock 2020 is available on github https://github.com/ModelDBRepository/245071 and ModelDB https://modeldb.yale.edu/245071
DOI: 10.5281/zenodo.3881862
title: Hippocampal CA1 pyramidal cell demonstrating dynamic mode switching (Berteau & Bullock 2020)

description: Zenodo record for Berteau Bollock 2020 model on github and modeldb: The code for Berteau & Bullock 2020 is available on github https://github.com/ModelDBRepository/245071 and ModelDB https://modeldb.yale.edu/245071
DOI: 10.17632/xr6sn9pdjw.1
title: Design and Development of E-Learning Module for Authentic Learning Environment
DOI: 10.5281/zenodo.3881470
title: Sensitivity of occipito-temporal cortex, premotor and Broca's areas to visible speech gestures in a familiar language

description: fMRI dataset related to the study "Sensitivity of occipito-temporal cortex, premotor and Broca’s areas to visible speech gestures in a familiar language". The dataset includes SPM analyses for the contrasts of interest described in the paper.
DOI: 10.17632/9tgxv9k7dj.1
title: files donwloaded from TCGA

description: RNA-seq transcription data and cliniacl infornamtion concering colon cancer
DOI: 10.17632/cc78ftcdf9.1
title: Data for: An automatic recognition system of Brazilian flora species based on textural features of macroscopic images of wood

description: This dataset is related to the research article entitled "A system of automatic recognition of species of Brazilian flora based on textural characteristics of macroscopic images of wood", by Deivison Venicio Souza, Joielan Xipaia Santos, Helena Cristina Vieira, Tawani Lorena Naide, Silvana Nisgoski and Luiz Eduardo S Oliveira accepted in the journal Wood Science and Technology. Wood samples were from the collection of the Wood Anatomy and Quality Laboratory (LANAQM) of Federal University of Paraná (UFPR), located in Curitiba, Paraná. The wood samples’ transversal surfaces were sanded with a 120 sandpaper and macroscopic images of 46 species were taken with a Zeiss Discovery V 12 stereomicroscope, with size of 2080 × 1540 pixels and 10× magnification. The captured images have a resolution of 150 dpi. A total of 1,901 macroscopic images were obtained. Of the 46 species used in this study, 7 are on Brazil’s official list of endangered species. More specifically, the species Araucaria angustifolia and Ocotea porosa are classified in the category “Endangered”, Cedrela fissilis, Bertholletia excelsa, Mezilaurus itauba and Swietenia macrophylla are part of the “Vulnerable” group, and Euxylophora paraensis is considered “Critically Endangered”.
DOI: 10.17632/skfj8jbdvv.1
title: FACTOR AFFECTING THE SUCCESSFUL OF MUSTAHIK EMPOWERMENT PROGRAM : EVIDENCE FROM PEKANBARU, INDONESIA

description: This research aims to explore what the factor are affect to the successfull of mustahik empowerment program.
DOI: 10.17632/vw4t76rmb8.1
title: Data for: Optimization of Models for a Rapid Identification of Lithology While Drilling - A Win-Win Strategy Based on Machine Learning

description: There are 3345 groups training data which come from conventional wireline logging of Yan'an gas field and 3345 groups test data which come from logging while drilling of Yan'an gas field in the data file.
DOI: 10.5281/zenodo.3881469
title: Sensitivity of occipito-temporal cortex, premotor and Broca's areas to visible speech gestures in a familiar language

description: fMRI dataset related to the study "Sensitivity of occipito-temporal cortex, premotor and Broca’s areas to visible speech gestures in a familiar language". The dataset includes SPM analyses for the contrasts of interest described in the paper.
DOI: 10.17632/mj6jd2cp75.4
title: An Eco-Friendly Green Polymer Blend for Corrosion Inhibition on Copper

description: Corrosion and Electrochemical Impedance Spectroscopy data of Copper in 1.0 M HCl in the presence and absence of corrosion inhibitors gum arabic, sodium alginate and their blends. The data set also contains the XRD data and SEM image of polymer blends of gum arabic and sodium alginate. SEM and AFM images of the Copper coupons before and after electrochemical corrosion studies are also presented.
DOI: 10.17632/wsv95z4xcr.1
title: Neural bases of inhibitory control: Combining transcranial magnetic stimulation and magnetic resonance imaging in alcohol-use disorder patients

description: Those data were used to assess the associations between brain morphometry and different facets of inhibitory control (preparatory suppression, behavioral inhibition, and impulsivity) in patients suffering from severe alcohol-use disorders.
DOI: 10.17632/wsv95z4xcr.2
title: Neural bases of inhibitory control

description: Those data were used to assess the associations between brain morphometry and different facets of inhibitory control (preparatory suppression, behavioral inhibition, and impulsivity) in patients suffering from severe alcohol-use disorders.
DOI: 10.17632/wvk25gxygb.1
title: INFLUENCE OF STACKING SEQUENCE ON THE IMPACT BEHAVIOUR OF UHMWPE SOFT ARMOR PANELS