cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.17632/ftxt6x83jh.1
title: Dataset from a System for Collection, Storage and Analysis of Evapotranspiration Data Using Sensors and Artificial Intelligence for Irrigation Optimization and Sustainability in Agricultural Production in Arid Areas

description: Background: The growing demand for technological advances aimed at more effective use of water resources is crucial to avoid shortages of drinking water and ensure the sustainability of agricultural production in arid regions. Objectives: The data are the result of research and development, the study of which proposes the development of an evapotranspiration monitoring system using sensors and artificial intelligence, with the aim of optimizing irrigation and contributing to sustainability, reducing the risk of environmental degradation. Methods: The research focused on the development of a system that would enable the collection, storage and transmission of data on evapotranspiration on rural properties. To this end, objectives were established that included the construction of a hardware infrastructure dedicated to data communication and the development of a software system equipped with the specific DATASOIS protocol. The experimental methodology used involved the use of advanced research techniques, with low-cost sensors and an innovative virtual platform. Results: Real-time analysis of water consumption allowed the creation of an accessible system that improves water management and prevents soil degradation in irrigated fruit growing areas. This solution aims to promote the sustainable and efficient management of water and soil, combating environmental degradation caused by inadequate irrigation. Financing: The project was made possible with financial support from CAPES and CNPq, contributing to more sustainable and efficient agriculture.

Keywords: Evapotranspiration. Data communication. Sensors. Technology. Moisture.

Subject The constant data refer to the area of: Agricultural Engineering
Specific Area Agribusiness and Agricultural Engineering

Data acquisition, processing and analysis system with a low-cost sensor network for the efficient use of water in agriculture. CNPq Process: 434987/2018-2 - Universal Notice
Data type The data that makes up this article is made up of several files used in its development, generated with the help of the software used in the development of the work, which made it possible to generate:
Tables
Images
Graphics
Maps
Figures
CSV
SQL
DOI: 10.17632/9wy2v6tpxk.1
title: Data for: HTO and Selenate Diffusion Through Compacted Na-, Na-Ca-, and Ca-Montmorillonite

description: This dataset contains raw data from through-diffusion experiments. Through-diffusion experiments with tritiated water (HTO, conservative tracer) and Se(VI) were conducted with a well-characterized, purified montmorillonite source clay (SWy-2) under a constant ionic strength (0.1 M) and three different electrolyte compositions: Na+, Ca2+, and a Na+-Ca2+ mixture at pH 6.5 in order to probe the effects of electrolyte composition and interlayer cation composition on clay microstructure, Se(VI) aqueous speciation, and ultimately diffusion. Four data files (.csv) are provided, including: dd.csv (data dictionary which provides definitions for the column headers); 
SeVI_diffusion_data.csv (Se diffusion data); HTO_diffusion_data.csv (tritiated water (HTO) diffusion data); and Se_clay_profiles.csv (Se concentrations in clay profiles).
DOI: 10.17632/cm9smd3xrd.1
title: Broadening the taxonomic breadth of organisms in the bio-inspired design process

description: Generating a range of biological analogies is a key part of the bio-inspired design process. In this research, we draw on the creativity literature to test methods for increasing the diversity of these ideas. We considered the role of problem type, the role of individual expertise (versus learning from others), and the effect of two interventions designed to increase creativity – going outside and exploring different evolutionary and ecological “idea spaces” using online tools. We tested these ideas with problem-based brainstorming assignments from a 180-person online course in animal behavior. Student brainstorming was generally drawn to mammals, and the breadth of ideas was affected more by the assigned problem than by practice over time. Individual biological expertise had a small, but significant effect on the taxonomic breadth of ideas, but interactions with team members did not. When students were directed to consider other ecosystems, and branches of the tree of life, they increased the taxonomic diversity of biological models. In contrast, going outside resulted in a significant decrease in diversity of ideas. We offer a range of recommendations to increase the breadth of biological models generated in the bio-inspired design process.
DOI: 10.17632/895wvf839m.2
title: Li_2024_GCA_Data.zip

description: Data for "Colloids control the mobilization of released zinc- and cadmium- species in calcite-rich soils".
DOI: 10.17632/895wvf839m.1
title: Li_2024_GCA_Data.zip

description: Data for "Calcite controls mobilization of colloid- and nanoparticle-bound Cd and Zn in sphalerite- and smithsonite-spiked soil".
DOI: 10.17632/ycxxrg8497.1
title: Data for: "Additional data confirms the impact of the COVID19 lockdown on the behavior and fattening of migratory snow geese"

description: Please find all metadata and dataset information in the README.md file.

Article abstract: The COVID19 lockdown provided a unique opportunity to study the impact of human activities and conservation measures on wildlife. However, most lockdown studies were opportunistic and based on limited data, because this ‘natural experiment’ was unexpected and short-lasting. Replication of scientific results is the cornerstone of the scientific method and ensures that conclusions from such short-term studies are robust. Here, we test predictions arising from a previous study where we showed the impact of the lockdown-induced reduction in hunting disturbance on the body condition and behavior of greater snow geese (Anser caerulescens a.), a species whose management is crucial for the conservation of northern ecosystems. The analysis of two additional years of data confirmed our predictions. The return to a high hunting pressure in springs 2021‐–2022 (post-lockdown) reduced overall goose body condition compared to the lockdown year. Goose fattening in post-lockdown springs was very similar to pre-lockdown years, differing from 2020 when a high body condition was reached earlier in spring than in any other year. Radio-tracked birds spent more time in profitable but risky agricultural lands in 2021 compared to 2020, as was the case in the pre-lockdown year. Our study provides robust evidence confirming the impacts of spring hunting on greater snow goose physiology. It demonstrates the long-lasting efficiency of the spring conservation hunt established two decades ago to limit the size of the population with the aim of preserving Arctic ecosystems from overgrazing and associated negative impacts on other arctic-nesting birds.
DOI: 10.17632/y8nstxmdrg.1
title: Relaxation data for commercial NMC and LFP cells

description: Benchmark Relaxation Dataset 
++++++++++++++++++++++++++++++

This dataset contains the electrochemical and relaxation data referenced in the publication entitled 'Benchmark dataset for the study of the relaxation patterns of commercial NMC811 and LFP cells' published in Cell Reports Physical Science. 
 
The dataset includes data gathered during the execution of protocol 1 and protocol 2, established in the paper. 

The full electrochemical data consists of MACCOR txt files with the full cell history of one cell per folder. Details for each cell is included in a readme file included in each folder.
P1 stands for protocol 1 and P2 for protocol 2. UP and DOWN refers to the temperature direction for protocol 2. UP was used when the temperature increased from 25 to 55oC in 5oC increments. DOWN was used when the temperature was decreased from 30 to -15oC in 5oC increments. 

The relaxation only data is contained in a zip file with ".mat" extensions, which follows the binary format used by MATLAB. 
The data within each file is organized based on the relaxation following charge or discharge cycles. Within each relaxation data double, five columns are present: 

1. Voltage (V)
2. Time (s)
3. C-rate of the previous step (hr)
4. Depth-of-discharge (%)
5. Temperature (degC)

More information is provided in the readme file. Examples of utilization are provided in the m file.
DOI: 10.17632/m7mgyfdzwt.1
title: Replication Package for "Learning by Exporting: Evidence from Patent Citations in China"

description: This replication package includes all sources and code needed to replicate Liang, Yousha; Shi, Kang; Tao, Hanyi; Xu, Juanyi (2024), "Learning by Exporting: Evidence from Patent Citations in China" Journal of International Economics. See the ReadMe file for further instructions.
DOI: 10.17632/7svmv9hvft.1
title: Primary Pressure Scale of KCl B2 Phase to the Core-Mantle Boundary

description: Reliable pressure determination is crucial for high pressure and temperature experiments and meaningful interpretation of their geophysical implications. However, nearly all commonly-used pressure scales are secondary in nature, meaning their establishments rely on pre-existing primary shock-compression-based pressure standards, which due to their dynamic compression nature, large uncertainty in peak shock temperature estimation and electronic thermal pressure contribution can yield substantial (~5 %) uncertainties at 1 Mbar conditions. To overcome this intrinsic shortcoming, in this study a self-consistent primary pressure scale of KCl B2 phase was experimentally calibrated up to 85 GPa at ambient temperature using a novel approach through simultaneously measuring the acoustic wave velocities and molar volume using Brillouin spectroscopy and Synchrotron X-ray diffraction (XRD). Best fitting of thermoelastic parameters based on our experimental results yields V_0 = 32.48 (9) cm3/mole, K_T0 = 21.33 (70) GPa, K_0'= 4.836 (83), G_0 = 16.83 (237) GPa, G^' = 2.147 (115), and γ_0 = 1.92 (11), θ_D0 = 251(22) K. A KCl B2 phase primary pressure scale based on 3rd order Birch-Murnaghan equation of state (EOS) is established without relying on any external (shock compressed-based) pressure scales and further extended also to high temperatures in combination with thermal pressure effect calculated using Mie‒Grüneisen‒Debye model under quasi-harmonic approximation. Our newly established KCl B2 EOS thus enables accurate pressure determinations at simultaneously high pressure and temperature conditions up to Earth’s core-mantle boundary (CMB) and can serve as a benchmark for calibrating other secondary pressure scales.
DOI: 10.17632/rdp3jy92sc.1
title: LDHU3_11.1090

description: START domain containing protein; Leishmania donovani (HU3 strain)
DOI: 10.17632/yr8dg923wg.1
title: Benchmark dataset and results for "Transfer of Knowledge through Reverse Annealing" experimentation

description: This dataset contains all the instances employed in the experimentation described in the paper "Transfer of Knowledge through Reverse Annealing: A Preliminary Analysis of the Benefits and What to Share". 

Results discussed in the paper are also included in this dataset.
DOI: 10.17632/xr7nt8k58b.1
title: Supplemental materials of Psychiatric Safety Associated with Naltrexone-Bupropion in Obesity Treatment: Insights from FDA Adverse Events Reporting System.

description: This dataset is the supplemental data of manuscript titled "Psychiatric Safety Associated with Naltrexone-Bupropion in Obesity Treatment: Insights from FDA Adverse Events Reporting System."
DOI: 10.17632/7jpvg6vf6h.1
title: LDHU3_11.1130

description: BDF7 | Bromodomain factor 7; Leishmania donovani (HU3 strain)
DOI: 10.17632/39h47gdbs6.1
title: LDHU3_11.1110

description: Leucine Rich Repeat-containing protein; Leishmania donovani (HU3 strain)
DOI: 10.17632/bxkbbs2553.1
title: DFTB based models of gas molecules adsorbed in functionalized carbophenes

description: Molecular data of functionalized carbophenes, gas molecules, and gas molecules adsorbed by functionalized carbophenes. All data was produced using density functional tight-binding theory. The data is divided into three text files, each containing the data in the edn extensible data format. A fourth file contains an example job script used for creating a DFTB+ input file and running the code on the Mana cluster at the University of Hawaiʻi at Mānoa.
DOI: 10.17632/bxkbbs2553.3
title: DFTB based models of gas molecules adsorbed in functionalized carbophenes

description: Molecular data of functionalized carbophenes, gas molecules, and gas molecules adsorbed by functionalized carbophenes. All data was produced using density functional tight-binding theory. The data is divided into three text files, each containing the data in the edn extensible data format. A fourth file is an example job script used for creating a DFTB+ input file and running the code on the Mana cluster at the University of Hawaiʻi at Mānoa.

Version 1 of this data contained incorrect adsorption energies of CO2 molecules into the pores of the functionalized carbophenes. The errors came from accidentally using the total energy of CO2 as computed in DFTB+ using Universal Force Field parameters for the long-range energy corrections. In contrast, the data set used DFTB+ with Grimme’s D3 dispersion corrections. In Version 2, we corrected the adsorption energy values in the Gas_molecules_in_functionalized_carbophenes.txt records. The file Gas_molecules.txt now includes records for N2 and O2 which were used in computing the formation energies recorded in Gas_molecules_in_functionalized_carbophenes.txt.

In creating producing Version 2, we accidentally missed five records. In Version 3, we added those five records back into Gas_molecules_in_functionalized_carbophenes.txt.
DOI: 10.17632/bxkbbs2553.2
title: DFTB based models of gas molecules adsorbed in functionalized carbophenes

description: Molecular data of functionalized carbophenes, gas molecules, and gas molecules adsorbed by functionalized carbophenes. All data was produced using density functional tight-binding theory. The data is divided into three text files, each containing the data in the edn extensible data format. A fourth file is an example job script used for creating a DFTB+ input file and running the code on the Mana cluster at the University of Hawaiʻi at Mānoa.

Version 1 of this data contained incorrect adsorption energies of CO2 molecules into the pores of the functionalized carbophenes. The errors came from accidentally using the total energy of CO2 as computed in DFTB+ using Universal Force Field parameters for the long-range energy corrections. In contrast, the data set used DFTB+ with Grimme’s D3 dispersion corrections. In this data set version, we have corrected the adsorption energy values in the Gas_molecules_in_functionalized_carbophenes.txt records. The file Gas_molecules.txt now includes records for N2 and O2 which were used in computing the formation energies recorded in Gas_molecules_in_functionalized_carbophenes.txt.
DOI: 10.17632/86x733xkb8.3
title: Dataset of Arabic Spam and Ham Tweets

description: This paper is a descriptor for the dataset, cite it when you use the data:
Kaddoura, Sanaa, and Safaa Henno. "Dataset of Arabic spam and ham tweets." Data in Brief 52 (2024): 109904.
Paper Link: https://www.sciencedirect.com/science/article/pii/S2352340923009472

The data was analyzed in this article:
Kaddoura, S., Alex, S. A., Itani, M., Henno, S., AlNashash, A., & Hemanth, D. J. (2023). Arabic spam tweets classification using deep learning. Neural Computing and Applications, 1-14.

The data are collected from Twitter using Twitter API between January 27, 2021, and March 10, 2021. The download tweet information is Tweet ID, DateTime, URL, Tweet Text, User Name, Location, Replied Tweet ID, Replied Tweet User ID, Replied Tweet Username, Retweet Count, Favorite Count, and Favorited.

The dataset contains two file.
The first file is "Dataset of Arabic Spam and Ham Tweets.xlsx.": This file contains the original collected dataset. The dataset contains 13241 records. Each record represents a tweet. The tweets are labeled either Ham or Spam. Ham means non-spam tweet. There are 1924 Spam tweets and 11299 Ham tweets. The tweets are unique i.e. there are no repeated tweets records.

The second file is "Augmented_SpamHamTweets.xlsx": on this dataset, contextual augmentation was applied to increase the number of the minority class which is the "spam" class. This file will help while applying machine learning to the dataset to get better and more reliable results. This dataset now contains 11030 ham tweets and 15128 spam tweets.
DOI: 10.17632/7zhgry4g99.1
title: LDHU3_11.1220

description: Adaptin N domain-containing protein; Leishmania donovani (HU3 strain)
DOI: 10.17632/y937ggjgvt.1
title: Magnetic resonance imaging characterisation of an α-synuclein model of Parkinson’s disease

description: This folder contains data used in the paper:
Magnetic resonance imaging characterisation of an α-synuclein model of Parkinson’s disease 
Chirine KATRIB, Hector HLADKY, Kelly TIMMERMAN, Nicolas DURIEUX, Nathalie DUTHEIL, Erwan BEZARD, David DEVOS, Charlotte LALOUX and Nacim BETROUNI.
To be pubished in European Journal of Neuroscience (Update October 2024).

Please contact the corresponding author if you need further details about this work and data
Nacim Betrouni, PhD
French Natinal Institute of Health and Medical Research (INSERM)
Lille NeuroScience & Cognition
nacim.betrouni@inserm.fr
DOI: 10.17632/d9kyhgsx2m.1
title: S4. R programming codes

description: R programming syntax used to create graphics for spatiotemporal distribution of dengue cases and serotypes, seasonality, transmission potential (TP) and prediction modelling used in this review
DOI: 10.17632/hx4r4jywmb.1
title: S3. PRISMA 2020 checklist

description: The selection of reports for inclusion in the systematic review followed the Preferred Reporting Items for Systematic Reviews and Meta-analysis guidelines (PRISMA)
DOI: 10.17632/zf7x7wy7xg.1
title: S1.Advanced search strategy for PubMed/Medline databases

description: Medical Subject Headings (MeSH) terms such as: dengue virus, prevalence, epidemiology, serotype, in conjunction with a compilation of specific African countries and territories were used to search for relevant English articles using an advanced search strategy PubMed/MEDLINE and Scopus databases
DOI: 10.17632/cv9c4gzdy9.1
title: S5. Transmission potenital (Index P) data

description: Transmission potential (index P) quantifies the risk of dengue virus transmission in a specific region, taking into account climate-based factors such as temperature and humidity, which directly influence the breeding, survival, and biting behaviour of the mosquito vectors responsible for spreading the virus. This index provides insight into how favourable environmental conditions are for dengue circulation in a given area. The spatio-temporal estimates of transmission potential for African countries and territories used in this review were developed by Nakase et. al (2023) .
DOI: 10.17632/cd8n3kzggp.1
title: Daily food commodity price (082017 - 082024)

description: Daily food commodity price and python code
DOI: 10.17632/v4nbn9s232.1
title: LINF_360008000

description: Protein of unknown function - conserved; Leishmania infantum (strain JPCM5)
DOI: 10.17632/8z99mfnxp2.1
title: LINF_360008600

description: Nucleolar protein 10 | Nop10; Leishmania infantum (strain JPCM5)
DOI: 10.17632/4p2r84h88z.4
title: Understanding the extreme differentiation of granitic magmas through elemental geochemistry and Fe isotope signatures

description: The Supplementary Material comprises two files: Supplementary data 1 and Supplementary data 2. 
Supplementary data 1 includes Supplementary Table S1, which is the bulk-rock major- and trace-element compositions of the BST granitic rocks, and Supplementary Table S2, which contains the parameters used for fractional crystallization modelling by Rhyolite-MELTS. Supplementary data 2 contains Figure S1, which illustrates bulk-rock geochemical variations of the BST granites, And Figure S2, which is a cross plot of Fe isotope compositions for mineral pairs and an evaluation of inter-mineral Fe isotope fractionation, and Figure S3, which shows the relationship between F/Cl ratio versus δ56Fe values and Fe2O3T contents.
DOI: 10.17632/mdmzs94m7p.1
title: Dataset for "First identification of violent caldera-forming explosivity in the Emeishan Large Igneous Province linked to global climate cooling and biotic crisis"

description: This is the dataset supporting the research article entitled "First identification of violent caldera-forming explosivity in the Emeishan Large Igneous Province linked to global climate cooling and biotic crisis".
The dataset includes the following meterials:
(1) Photos showing typical lithological observations of basaltic lavas in addition to those presented in the main text (Figure S1). 
(2) Raw data of well logging showing insoluble content of the hydromagmatic deposit section in JT1 (File. S1). 
(3) Calculation of the currently revealed volume of the volcanic products (File. S2). 
(4) Raw data for physical logging indicating density of the studied mafic magmatic rocks (File. S3).
DOI: 10.17632/yr8dg923wg.2
title: Benchmark dataset and results for "Transfer of Knowledge through Reverse Annealing" experimentation

description: This dataset contains all the instances employed in the experimentation described in the paper "Transfer of Knowledge through Reverse Annealing: A Preliminary Analysis of the Benefits and What to Share". 

Results discussed in the paper are also included in this dataset.
DOI: 10.17632/mjn5nzwyjc.1
title: LINF_360015900

description: Protein of unknown function - conserved; Leishmania infantum (strain JPCM5)
DOI: 10.17632/gntv526gpy.1
title: LINF_360013800

description: Protein of ARM repeat superfamily; Leishmania infantum (strain JPCM5)
DOI: 10.17632/m33v6d7398.1
title: Small Mammal Response to Cover Crop Management Kentucky

description: Spatial mark-recapture data set for small mammals in agricultural fields in central Kentucky.
DOI: 10.17632/cp5x8fbpsw.1
title: Complete mitochondrial genome Chionoecetes opilio × C. japonicus

description: The complete mitochondrial genome of Chionoecetes opilio × C. japonicus was sequenced. 
Also included are chromatogram and sequence files for ITS1 gene region of nuclear DNA analyzed to identify hybrid snow crab.
DOI: 10.17632/cp5x8fbpsw.2
title: Complete mitochondrial genome Chionoecetes opilio × C. japonicus

description: The complete mitochondrial genome of Chionoecetes opilio × C. japonicus was sequenced. 
Also included are chromatogram and sequence files for ITS1 gene region of nuclear DNA analyzed to identify hybrid snow crab.