cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.17632/pcxmm2hnfw
title: Geomorphic Flood Index (GFI) workflow

description: This is a software package consisting of the implementation of the Geomorphic Flood Index (GFI) workflow in Python programming language. Desktop version with instructions for compiling and test cases. It is sourced from Tavares da Costa et al., Environmental Modelling & Software, 2019.
DOI: 10.6084/m9.figshare.11352590.v3
title: A topic model based framework for identifying the distribution of demand for relief supplies using social media data

description: Natural disasters have caused substantial economic losses and numerous casualties. The demand analysis of relief supplies is the premise and basis for efficient relief operations after disasters. With the widespread use of social media, it has become a vital channel for people to report their demand for relief supplies and provides a way to obtain information on disaster areas. Therefore, we present a topic model-based framework and establish a demand dictionary and a gazetteer that aims to identify the spatial distribution of the demand for relief supplies by using social media data. Taking the 2013 Typhoon Haiyan (also called Yolanda) as a case study, we identify the potential topics of tweets with the biterm topic model, screen the tweets related to demands, and obtain the demand and location information from tweets to study the distribution of the relief supplies needs. The results show that, based on the demand dictionary, a gazetteer and the biterm topic model, the effective demand for relief supplies can be extracted from tweets. The proposed framework is feasible for the identification of accurate demand information and its distribution. Further, this framework can be applied to other types of disaster responses and can facilitate relief operations.<br><br><br>File introduction：BTM_Model_window.py：The window program of the BTM model will call the methods involved in the BTM model.BTMModel.py：BTM method code.Biterm.py：Classes in BTMtest_tweet.csv：Tweets related to Typhoon Haiyan (used in BTM_Model_window.py, test data, not complete data).<br>stemtext.py：Used for tweet extraction (input data example: demand_tweets.xlsx; output data example: tem_result.xls)wordfrequency.py：Used to calculate the frequency of tweets.main_dis.py：Call Distinguish.py to extract rescue supplies and location information from tweets (input data example: demand_tweets.xlsx, DIC.xlsx; output data example: result.xlsx)Distinguish.py：Method file.
DOI: 10.6084/m9.figshare.19593016.v1
title: Supplementary Data 4. Life cycle inventory selection for Food Commodities Intake Database Commodities.

description: <strong>Supplementary Data 4. Life cycle inventory selection for Food Commodities Intake Database Commodities. </strong> <em>This table is provided as an excel file and shows which proxy group or ecoinvent life cycle inventory was used to model the impacts of each of the commodities in the Food Commodities Intake Database (FCID). For example, the commodity almond was modeled using almond production in the US from ecoinvent whereas the commodity acerola was modeled with the proxy group “tree fruit”. This table identifies which commodity impacts were modeled using proxies and the conversion factors applied if the commodity was served raw or cooked.</em>
DOI: 10.17632/f8rthxdtzv
title: Data for: Ecological dimensions of population dynamics and subsistence in Neo-Eneolithic Eastern Europe

description: The Eastern European Neo-Eneolithic Sites Repository (EENSR) is compiled and managed by Thomas K. Harper. It began as a project to catalog all known Neolithic and Eneolithic archaeological sites in Romania, Moldova, and Western Ukraine, but is intended to be expandable in both its spatial and temporal focus. In its current form, it is intended as a resource for analyzing settlement patterns and demographic trends during the span of ca. 6100-3000 BC. While some effort has been made to include all classes of archaeological sites, EENSR mainly pertains to habitational sites. The data set currently includes 8,164 sites, of which 6,756 have assigned spatial coordinates.
DOI: 10.6084/m9.figshare.12643205.v2
title: Data in support of "Diffusioosmotic and convective flows induced by a non-electrolyte concentration gradient"

description: Data in support of "Diffusioosmotic and convective flows induced by a non-electrolyte concentration gradient" by Ian Williams, Sangyoon Lee, Azzurra Apriceno, Richard Sear and Giuseppe Battaglia. See README file for full description of contents.
DOI: 10.6084/m9.figshare.23996895.v1
title: Untitled Item

description: This is the experimental data of the manuscript entitled “A novel collaborative electric vehicle routing problem with multiple prioritized time windows and time-dependent hybrid recharging”. In these instances,the number of depots is set to 3, 4, and 5, and the number of customers is set to 50, 75, 100, and 125 respectively. In these instances, the number of recharging stations varies from 2 to 6, and customer demand ranged from 10 to 40. The name of each instance is composed of a combination of {type} {quantity} for customers, depots, and recharging stations. For example, the instance "C50_D3_R2" means that the delivery system includes 50 customers, 3 depots, and 2 recharging stations.
DOI: 10.6084/m9.figshare.24208740.v1
title: <b>Dataset on </b><b>Determinants of Learning </b><b>Agility, </b><b>Student </b><b>Engagement, and Academic Performance</b><b>: A Big-Scale Survey</b>

description: This dataset explores the determinants of learning agility, student engagement, and academic performance.
DOI: 10.6084/m9.figshare.28498565.v1
title: Vital signs and stroke outcomes.sav

description: The dataset is from a study investigating the association of different vital signs monitoring strategies on stroke outcomes
DOI: 10.6084/m9.figshare.5900236.v1
title: SPARQL Query Set

description: SPARQL quey set in readable format
DOI: 10.17632/nv3rkn24zv
title: Nairobi Motorcycle Transit Comparison Dataset: Fuel vs. Electric Vehicle Performance Tracking (2023)

description: This dataset contains GPS tracking data and performance metrics for motorcycle taxis (boda bodas) in Nairobi, Kenya, comparing traditional internal combustion engine (ICE) motorcycles with electric motorcycles. The study was conducted in two phases:

Baseline Phase: 118 ICE motorcycles tracked over 14 days (2023-11-13 to 2023-11-26)
Transition Phase: 108 ICE motorcycles (control) and 9 electric motorcycles (treatment) tracked over 12 days (2023-12-10 to 2023-12-21)

The dataset is organised into two main categories:

Trip Data: Individual trip-level records containing timing, distance, duration, location, and speed metrics
Daily Data: Daily aggregated summaries containing usage metrics, economic data, and energy consumption

This dataset enables comparative analysis of electric vs. ICE motorcycle performance, economic modelling of transportation costs, environmental impact assessment, urban mobility pattern analysis, and energy efficiency studies in emerging markets.

Institutions:

EED Advisory
Clean Air Taskforce
Stellenbosch University
DOI: 10.6084/m9.figshare.17451893.v1
title: The global biogeography of soil priming effect intensity

description: <b>Dataset</b> The global database of priming effect intensity
DOI: 10.6084/m9.figshare.23279855.v1
title: Permafrost_carbon_Supplementary_Data.xlsx

description: The datasets presented are primarily data syntheses from the literature of carbon stocks and fluxes from the northern permafrost region from the Last Glacial Maximum (LGM; 21,000 years before present) to present. Deglacial carbon stocks were estimated from the northern permafrost zone by subtracting estimates of carbon losses from LGM values of different systems (e.g., shelf/subsea, thermokarst lakes, peatland, yedoma, subglacial) reported in the literature. Values reported for present day were compiled from the literature. Carbon losses from permafrost thaw are reported as petagrams CO<sub>2</sub>-C (fraction of carbon from CO<sub>2</sub>) per degree Celsius (Pg CO<sub>2</sub>-C ºC<sup>-1</sup>), petagrams CH<sub>4</sub>-C (fraction of carbon from CH4) per degree Celsius, and total petagrams carbon per degree Celsius (Pg CH4-C ºC<sup>-1</sup>) where possible. Where values were not reported as Pg C ºC<sup>-1</sup> in the literature, fluxes were divided by the change in temperature for the time period using deglacial temperature changes from the literature.
DOI: 10.1184/r1/17144432.v3
title: The evolution of quantitative sensitivity: Dataset and models

description: Full dataset from meta-analysis, Stan models and R scripts are included.
DOI: 10.6084/m9.figshare.14379086.v1
title: The Chromosomal-level reference genome of the neotropical tree Jacaranda mimosifolia

description: <i>Jacaranda mimosifolia</i> D. Don is an ornamental plant with great potential in environmental monitoring, soil quality improvement, and medicinal applications. Here we present a chromosome-level genome assembly of <i>J</i><i>.</i><i> mimosifolia</i>.genome.gff3: gene annotation fileprotein.fasta: predicted peptidescds.fasta: coding sequences of genesgene.fasta: mRNA sequence of genes
DOI: 10.6084/m9.figshare.17082935.v2
title: Tweets of CoronaVac in Chile

description: Tweets of CoronaVac in Chile from 2020 to 2021.
DOI: 10.6084/m9.figshare.23579862.v3
title: DECEiVeR - Dataset Acting Emotions Valence Arousal

description: The DECEiVeR dataset (DatasEt aCting Emotions Valence aRousal) is a meticulously curated collection of physiological recordings from 11 professional theatre actors. The DECEiVeR dataset facilitates the recognition of a specific set of five emotions: neutral, calm, tiredness, tension, and excitement. The dataset encompasses raw, low- and mid-level temporal and spectral data, enabling a comprehensive analysis of acting emotions.A preliminary analysis has already been conducted on modeling the recognition of acting emotions, utilizing the rich biosignal data available in the DECEiVeR dataset. The focus of this analysis was to explore the reliability of physiological data over time, shedding light on the consistency and temporal persistence of the recorded measurements. By delving into the DECEiVeR dataset, researchers can gain valuable insights into recognizing acting emotions and delve deeper into affective computing. It provides a unique opportunity to assess how biosignals capture emotions elicited from internal stimuli, enriching our knowledge of the emotional expression and paving the way for further advancements in the field. With its comprehensive and curated nature, the DECEiVeR dataset is a valuable resource for researchers exploring emotion recognition and its intersection with affective computing.
DOI: 10.6084/m9.figshare.26298964.v1
title: data and script for Banousse et al: <b>Genetic and environmental basis of transcriptional thermal plasticity of brook charr fry</b>

description: <b>DB_Brain_chip_Laval_calculation.xlsx</b>: This file contains the calculation of N0 (following Tuomi et al. 2010) and Dct (DN<sub>0</sub>) derived from the Crt, which is the fractional PCR cycle number where fluorescence crosses the quantification threshold.<b>DB_dct_Brain_chip_Laval_Box_Cox.csv</b>: This file includes the dct transformed values (using Box-Cox transformation) for each of the 10 genes (AVT1, BDNF, CART, CCK.L, CIRBPA, DCX, NEUROD1, NPY, PCNA, SOX2).<b>Code_LMM_Brain_chip_Laval.Rmd</b>: This script contains the code used to assess the Linear Mixed Models (LMM) for each of the 10 genes analyzed.<b>data_for_ASREML.zip:</b> This zip file contains the same data as <b>DB_dct_Brain_chip_Laval_Box_Cox.csv</b>, but it is divided based on the parental thermal regimes (cold and warm). Additionally, it includes the pedigree matrix. These files are used in the (<b>ASREML_Brain_chip_Laval.Rmd)</b> to perform quantitative genetic analysis and partition the variance in gene expression into genetic, environmental, and parental components.<b> </b><b>ASREML_Brain_chip_Laval.Rmd: the code script used for the quantitative genetic analysis</b><b>data_for_G X E _analysis.zip : </b>This zip file contains the data used in the <b>GxE_Analysis_Brain_chip_Laval.Rmd</b> script to assess the genotype-by-environment analysis. It includes data exclusively for full-sib families, treated as a single genotype.<b>G X E Analysis_Brain_chip_Lval.Rmd</b><b>: </b>This script contains the code used to perform the genotype-by-environment (GxE) analysis.<br>
DOI: 10.6084/m9.figshare.5113921.v3
title: Pinus cembra chorology

description: Distribution map of Arolla pine (<i>Pinus cembra</i>)<br><br>These maps were produced by combining numerous and heterogeneous data collected from atlas monographs providing complete species distribution maps, from national to regional atlases, occurrence geo-databases, scientific and grey literature.<br>The maps were created using ESRI shapefiles (*.shp, *.shx, *.dbf, *.prj files) archived in the ZIP file. Species range is mapped with polygon features (name suffix "plg"), which define continuous areas of occupancy of the species, and with point features (name suffix "pnt"), which identify more fragmented and isolated populations. If synanthropic occurrences are reported outside the species natural range, additional point and/or polygon shapefiles are also present (suffix "syn"). <br>Polygon borders delimiting species ranges are generalized across the mainland and sea boundaries. This offers the possibility to mask sea areas or to clip and extract the terrestrial range parts using GIS data layers of the users' choice. An additional version of polygon ranges are clipped with a coastline (name suffix "clip"), which have been derived from Natural Earth dataset "Admin 0 - Countries" 1:50M version 4.1.0 (https://www.naturalearthdata.com). <br><br>Please cite as:<br>Caudullo, G., Welk, E., San-Miguel-Ayanz, J., 2017. Chorological maps for the main European woody species. Data in Brief 12, 662-666. DOI: doi.org/10.1016/j.dib.2017.05.007 <br><br>Additional information and used references are on 'supplementary materials' document:<br>https://doi.org/10.6084/m9.figshare.5091901<br><br>Chorological maps are part of the "European Atlas of Forest Tree Species" project:<br>https://w3id.org/mtv/FISE-Comm/v01
DOI: 10.17632/7k3ky2vwck
title: Intensification of açaí palm production reduce tree species diversity at multiple spatial scales in the Amazonian estuarine forest

description: Supplementary Material from the original research article entitled: “Intensification of açaí palm production reduce tree species diversity at multiple spatial scales in the Amazonian estuarine forest”.
Authors: Madson Antonio Benjamin Freitas, Arleu Barbosa Viana-Junior, Maria Fabíola Barros, José Leonardo Lima Magalhães, Elâine Maria dos Santos Ribeiro, Ima Célia Guimarães Vieira, Marcelo Tabarelli. 
ARTICLE INFORMATION: This study investigates the impacts of increased açaí palm density for fruit production (açaí intensification) on tree assemblages in the Amazon estuarine forest. Our main result was that açaí intensification is a major driver of tree species assembly and a threat to the Amazon estuarine forest’s natural heritage, reducing species richness and promoting community nestedness. The açaí case highlights the fragility of NTFP (Non-timber forest products) sustainability when market demand exceeds natural yields, requiring better production indicators and biodiversity monitoring, even if extraction increases income for traditional populations.
DOI: 10.17632/vtt9tg8pk4
title: 3D LiDAR and Photogrammetry Scans of a Stilt House in Tai O Village - 2022 - Case 941756

description: This data includes a point cloud file from a combined photogrammetric and LiDAR scan of a stilt house in Tai O Village. The house is designated "Case 941756" in the research project record. Researchers collected the scan using a single, approximately 10 minute walk-through of the house with the Leica-brand BLK2Go model 3D environment scanner. The scan describes the interior and partial exterior of a stilt house in high detail and color. Please note the pointcloud dataset is decimated to a voxel size of 5 millimeters. Full-resolution data is available upon request. The data provides clear enough rendering of the physical conditions of the house to allow interpretation of the scan into description of the house's construction, contents, and spatial use. The data is available under embargo of one year to protect the personal information of residents of the house, provided for purposes of digital conservation of the building, and for interpretation of the house's physical conditions and interior contents through further research. More detailed information on the dataset, including the date the scan was conducted, the location of the house, and related interview and survey datasets are available upon reviewed request.
DOI: 10.6084/m9.figshare.14474214.v5
title: Data from: A large colonial choanoflagellate from Mono Lake harbors live bacteria

description: As the closest living relatives of animals, choanoflagellates offer insights into the ancestry of animal cell physiology. Here, we report the isolation and characterization of a colonial choanoflagellate from Mono Lake, California. The choanoflagellate forms large spherical colonies that are an order of magnitude larger than those formed by the closely related choanoflagellate <i>Salpingoeca rosetta</i>. In cultures maintained in the laboratory, the lumen of the spherical colony is filled with a branched network of extracellular matrix and colonized by bacteria, including diverse Gammaproteobacteria and Alphaproteobacteria. We propose to erect <i>Barroeca monosierra</i> gen. nov., sp. nov. Hake, Burkhardt, Richter, and King to accommodate this extremophile choanoflagellate. The physical association between bacteria and <i>B. monosierra</i> in culture presents a new experimental model for investigating interactions among bacteria and eukaryotes. Future work will investigate the nature of these interactions in wild populations and the mechanisms underpinning the colonization of <i>B. monosierra</i> spheres by bacteria.<br>This dataset contains the genome sequence of <i>B. monosierra</i> (NKKH001C_Barroeca_monosierra.fa.gz), as well as 24 associated bacterial genome sequences (bacterial_genomes.zip).<br><br>The two ZIP archives whose names begin with "tree" contain all relevant data from the phylogenetic trees presented in Figure 1C and Figure S1. Each archive contains the following subdirectories:<br>input: input sequences in FASTA formatpolyA_removed: polyA tails removed by trimest (for protein coding genes only)aligned: sequence alignments by FSAtrimmed: trimmed alignments by trimAlRAxML: input, run parameters and output of RAxML maximum likelihood tree reconstructionMrBayes: input, run parameters and output of MrBayes Bayesian tree reconstruction<br>The file Figure_2E.tree contains the tree from Figure 2E in Newick format.<br>
DOI: 10.6084/m9.figshare.1552022.v1
title: Ionosphere Dataset

description: Ionosphere Dataset
DOI: 10.6084/m9.figshare.21548058.v1
title: Metabolomic analysis of colorectal cancer cells using mass spectrometry_SW480 SW620

description: In the metastasis process of colorectal cancer (CRC), cancer cells exhibit altered dependency on specific metabolic pathways and some of the metabolites discovered might be useful as potential diagnostic biomarkers. To identify metabolic pathway dependencies in CRC metastasis, mass spectrometry-based untargeted metabolomic analysis was performed in two pairs of CRC cell lines with different metastatic abilities. Each pair of cell lines was comprised of primary and metastatic colorectal cancer cell lines (SW480 vs. SW620; HT-29 vs. COLO 205).
DOI: 10.15468/dl.d6pzw9
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Sagamichthys schnakenbecki (Krefft, 1953)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "BasisOfRecord is one of (Specimen, Living Specimen, Observation, Human Observation, Machine Observation, Material sample, Literature Occurrence, Material citation, Occurrence evidence)",
 "Geometry POLYGON ((50.4237 -16.4452,50.6026 -16.1504,44.9648 -16.1504,44.9648 -25.1504,47.5481 -25.1504,49.8976 -18.3404,50.0029 -17.5803,50.4067 -17.0878,50.4237 -16.4452))"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0013199-250525065834625/datasets/export for details.
DOI: 10.17632/zydk6xjzp8
title: QQ-onia package: a numerical solution to the Schrödinger radial equation for heavy quarkonium

description: Abstract This paper presents the basics of the QQ-onia package, a software based upon the Numerov O (h^6 ) method which can be used to solve the Schrödinger radial equation using a suitable potential V (r) for the heavy quarkonium system. This package also allows the analysis of relevant properties of those resonances such as the square of the wave functions at the origin, their corresponding derivatives for l ≠ 0 states, typical heavy-quark velocities, and mean square radii. Besides, it includes a to... Title of program: QQ-onia package Catalogue Id: AECQ_v1_0 Nature of problem Software to solve the Schrödinger radial equation using a suitable potential V (r) for the heavy quarkonium system, allowing to perform spectroscopy. It also allows the analysis of relevant quantities of those resonances such as the square of the wave functions at the origin, their corresponding derivatives for l ≠ 0 states, typical heavy-quark velocities, and mean square radii. The package is a (userfriendly) multipurpose tool for dealing with different heavy quarkonium systems, providing a way ... Versions of this program held in the CPC repository in Mendeley Data AECQ_v1_0; QQ-onia package; 10.1016/j.cpc.2008.11.011 This program has been imported from the CPC Program Library held at Queen's University Belfast (1969-2019)
DOI: 10.6084/m9.figshare.23722998.v1
title: A distinctive latitudinal trend of nitrogen isotope signature across urban forests in eastern China

description: The datasets include data on urban forest topsoil (0-20cm) <em>δ</em>15N and leaf <em>δ</em>15N, as well as natural forest topsoil <em>δ</em>15N across a north-south transect in eastern China. They support the findings of the manuscript entitled " A distinctive latitudinal trend of nitrogen isotope signature across urban forests in eastern China ".
DOI: 10.6084/m9.figshare.23736606.v1
title: DS 06

description: This dataset includes ground ozone level data collected from 1998 to 2004 in the Houston, Galveston, and Brazoria areas. The dataset focused on eight-hour peaks of ozone levels above a certain threshold. This work used data from 1998 to 2001 as the Primary Source. Its variables present a yearly seasonal component, and it also displays higher levels of variability.
DOI: 10.6084/m9.figshare.28714259.v1
title: Results from the experiments associated to the publication '<i>Scalable modelling of photosynthetic carbon assimilation and partition during </i><i>nitrogen starvation for the microalga Chlorella vulgaris NIES 227</i>'

description: This document present the raw data set associated to the publication "<i>Scalable modelling of photosynthetic carbon assimilation and partition during</i><i> nitrogen starvation for the microalga Chlorella vulgaris NIES 227</i>".This data set has been analyzed in the R script <i>PhoCAssPaNS_generalCode.Rmd</i> found at the following URL <i>https://github.com/pchambonn/Toward-a-scalable-modelling-of-photosynthetic-carbon-assimilation-and-partition/tree/main</i>.