cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.17632/f8fdmpp6yh
title: Soybean Market News Dataset

description: This dataset encompasses a comprehensive collection of soybean market news articles, meticulously curated and labeled for relevance. Collected from the prominent Brazilian website "noticiasagricola.com.br" from January 2015 to June 2023, the dataset features a diverse range of content, including international, national, and regional perspectives.

Features:
 Data Attributes: Date, headline, content, label, and embeddings from three pre-trained BERT models (Paraphrase Multilingual, Distilbert Multilingual, and BERTimbau).
 Labeling: News articles are labeled as either relevant or irrelevant, providing a binary classification for ease of analysis.
 Coverage: The dataset spans various aspects of the soybean market, offering insights into climate conditions, research findings, consulting information, technological advancements, diseases and pests, and logistics.
 Language: Portuguese

Potential Applications:
 Natural Language Processing (NLP) tasks;
 Machine Learning Task(ML);
 Multimodal Predictions.

Benefits:
 Diverse sources (544 international, national, and regional providers);
 Enriched with embeddings for advanced NLP applications
 Covers a wide range of soybean market aspects

Usage: Researchers and practitioners in the fields of agriculture, economics, and data science can leverage this dataset for in-depth analyses, model development, and trend exploration within the soybean market.
DOI: 10.17632/shsd5hr2d5
title: Figure 2F

description: Original data in Figure 2F
DOI: 10.6084/m9.figshare.25224776.v1
title: Content of Newspaper Content Analysis Coding

description: Content analysis dataset
DOI: 10.6084/m9.figshare.28528172.v1
title: Avaliação da qualidade da caminhada à escola sob a percepção dos alunos (respostas).xlsxPesquisa dissertação Débora Pinheiro da Silva

description: Dados de pesquisa de caminhada
DOI: 10.6084/m9.figshare.9228176.v1
title: GRUN : Global Runoff Reconstruction

description: The dataset contains a gridded global reconstruction of monthly runoff timeseries. In-situ streamflow observations from the GSIM dataset are used to train a machine learning algorithm that predicts monthly runoff rates based on antecedent precipitation and temperature from the Global Soil Wetness Project Phase 3 (GSWP3) meteorological forcing dataset. We thank Prof. Dr. Hyungjun Kim for developing the GSWP3 dataset and providing us with early access to the data. The data are provided in NetCDFv4 format at monthly resolution covering the period 1902-2014. <br>The GRUN reconstruction ("GRUN_v1_GSWP3_WGS84_05_1902_2014.nc" file) is provided on a 0.5 degrees (WGS84) grid in units of mm/day. The runoff time series correspond to the ensemble mean of 50 reconstructions obtained by training the machine learning model with different subsets of data. The individual ensemble members of the reconstruction are provided in the "Realizations_GRUN_v1_GSWP3_WGS84_05_1902_2014.zip" file.<br>When using this dataset, please cite: Ghiggi, G., Humphrey, V., Seneviratne, S. I., Gudmundsson (2019), GRUN: An observations-based global gridded runoff dataset from 1902 to 2014, Earth Syst. Sci. Data, 2019, DOI: https://doi.org/10.5194/essd-2019-32<br> The complete collection of in-situ streamflow observations from the GSIM archive can be found at: - https://doi.pangaea.de/10.1594/PANGAEA.887477 - https://doi.pangaea.de/10.1594/PANGAEA.887470 <br>For further information on the GSIM dataset see: - https://doi.org/10.5194/essd-10-765-2018 - https://doi.org/10.5194/essd-10-787-2018 <br>For further information on GSWP3, see: - https://doi.org/10.20783/DIAS.501 - https://hyungjun.github.io/GSWP3.DataDescription - http://hydro.iis.u-tokyo.ac.jp/GSWP3/exp1.html
DOI: 10.17632/4r8jy7xht2
title: Protocol for assessing neighborhood physical disorder using the YOLOv8 deep learning mode

description: These compressed files contain the Python code and models mentioned in the paper "Protocol for Evaluating Neighborhood Physical Disorder Incorporating Multiple Street View Sources." The paper provides detailed steps for neighborhood physical disorder assessment using multiple data sources (commercial street views, self-collected street views).

Code:
Includes Python computational code related to the steps mentioned in the paper.

YOLOv8 Model:
This is a Python implementation of the YOLOv8 architecture, including trained models for prediction.
DOI: 10.17632/gt2dp44w25
title: Waste Projection Research Dataset (1964-2021)

description: The waste projection research and publication dataset, which was indexed by Scopus from 1964 to 2021.
The dataset contains data authors, authors ID Scopus, title, year, source title, volume, issue, article number in Scopus, DOI, link, affiliation, abstract, index keywords, references, Correspondence Address, editors, publisher, conference name, conference date, conference code, ISSN, language, document type, access type, and EID.
DOI: 10.6084/m9.figshare.19698352.v1
title: Data and R scripts used in Pouta et al. 2022. Partitioning of space among trees in an old-growth spruce forest in subarctic Fennoscandia. Front. For. Glob. Change 5:817248.

description: Data from a large (8.8 ha) fully mapped plot in a Norway spruce dominated old-growth forest, and R scripts used in the analyses of the data.
DOI: 10.6084/m9.figshare.26633035.v4
title: The neural representation of visually evoked emotion is high-dimensional, categorical, anddistributed across transmodal brain regions: Python version

description: This repository contains fMRI and label data used in our paper: Horikawa, Cowen, Keltner, and Kamitani (2020) The neural representation of visually evoked emotion is high-dimensional, categorical, and distributed across transmodal brain regions. iScience.This data repository contains data used in the Python version of the github repository below.<br>https://github.com/KamitaniLab/EmotionVideoNeuralRepresentationPython<br>There are similar repositories on Figshare with the following names, but these are data repositories that correspond to Matlab code.Github: https://github.com/KamitaniLab/EmotionVideoNeuralRepresentation<br>Figshare: https://figshare.com/account/projects/31715/articles/11988351<br>Please note that there are specific combinations of code and data.<br>
DOI: 10.6084/m9.figshare.28561814.v1
title: Data File For <b>Seasonal Dynamics of Aquatic Entomofauna in ManSagar Lake, Jaipur, Rajasthan, India</b>

description: This dataset contains comprehensive data on the diversity and abundance of aquatic entomofauna from Man Sagar Lake, Jaipur, over three distinct seasons (Monsoon, Winter, and Summer). The study focuses on the role of aquatic insects as bio-indicators of water quality. The dataset includes:<b>Species Composition:</b> A detailed list of 28 aquatic insect species, including damselflies, dragonflies, water bugs, and beetles, were recorded across three seasons.<b>Diversity Indices:</b> Metrics such as Shannon-Weiner, Margalef, Evenness, and Berger-Parker Dominance, calculated for each season, showcasing the distribution and richness of species in different environmental conditions.Clustering Analysis: Data from clustering analysis based on species composition and distribution patterns across different seasons.This dataset aims to provide valuable insights into the ecological dynamics of Man Sagar Lake and support further research on the role of aquatic insects in environmental monitoring and conservation efforts. The data are made freely available for the scientific community to ensure reproducibility and transparency in environmental and ecological studies.
DOI: 10.6084/m9.figshare.28950776.v1
title: Cereal Questionnaire Data

description: This is a survey done for MKTG 234: Advertising I at Bellevue College. It is not meant to be a comprehensive study, nor to be cited by others.
DOI: 10.6084/m9.figshare.21899007.v1
title: Data for: Inferring condition in wild mammals: body condition indices confer no benefit over measuring body mass across ecological contexts

description: Data associated with Wishart et al. <b>Inferring condition in wild mammals: body condition indices confer no benefit over measuring body mass across ecological contexts</b>. bioRxiv preprint: https://www.biorxiv.org/content/10.1101/2023.01.31.524791v3These tables contain morphometric data (right hind foot length in mm, zygomatic width in mm), body composition data (fat mass and lean mass, as measured using quantitative magnetic resonance), body mass, and individual sex and identifiers. Full description of methods and research context are given in the above article.All procedures were approved by the University of Saskatchewan Animal Research Ethics Board. Fieldwork was completed under permits issued by Yukon Territorial Government (red squirrels); Grasslands National Park and the Saskatchewan Ministry of the Environment (prairie dogs); and Alberta Parks (ground squirrels).
DOI: 10.6084/m9.figshare.25497445.v4
title: <b>A deep</b><b> </b><b>learning framework </b><b>for </b><b><i>in silico</i></b><b> screening of anticancer drugs at the single-cell level</b>

description: Tumor heterogeneity plays a pivotal role in tumor progression and resistance to clinical treatment. Single-cell RNA sequencing (scRNA-seq) enables us to explore heterogeneity within a cell population and identify rare cell types, thereby improving our design of targeted therapeutic strategies. Here, we use a pan-cancer and pan-tissue single-cell transcriptional landscape to reveal heterogeneous expression patterns within malignant cells, precancerous cells, as well as cancer-associated stromal and endothelial cells. We introduce a deep learning framework named Shennong for <i>in silico</i> screening of anticancer drugs for targeting each of the landscape cell clusters. Utilizing Shennong, we could predict individual cell responses to pharmacologic compounds, evaluate drug candidates’ tissue damaging effects, and investigate their corresponding action mechanisms. Prioritized compounds in Shennong’s prediction results include FDA-approved drugs currently undergoing clinical trials for new indications, as well as drug candidates reporting anti-tumor activity. Furthermore, the tissue damaging effect prediction aligns with documented injuries and terminated discovery events. This robust and explainable framework has the potential to accelerate the drug discovery process and enhance the accuracy and efficiency of drug screening.
DOI: 10.6084/m9.figshare.27174468.v1
title: Single chip photonic deep neural network with forward-only training

description: Data for "Single chip photonic deep neural network with forward-only training."
DOI: 10.6084/m9.figshare.28068011.v1
title: Dataset for "Potential improvement in spatial accessibility of methadone treatment with integration into other outpatient substance use disorder treatment programs, New York City, 2024"

description: The SAS analysis code and dataset for the publication entitled, "Potential improvement in spatial accessibility of methadone treatment with integration into other outpatient substance use disorder treatment programs, New York City, 2024"
DOI: 10.6084/m9.figshare.28931396.v1
title: <b>MATERIAL SUPLEMENTARIO DEL DOCUMENTO </b><b>EVALUACIÓN COMPARATIVA DE TÉCNICAS DE MEJORA DE IMÁGENES RGB EN CONDICIONES DE BAJA ILUMINACIÓN MEDIANTE MÉTRICAS OBJETIVAS</b>

description: SE PRESENTA MATERIAL SUPLEMENTARIO DEL DOCUMENTO EVALUACIÓN COMPARATIVA DE TÉCNICAS DE MEJORA DE IMÁGENES RGB EN CONDICIONES DE BAJA ILUMINACIÓN MEDIANTE MÉTRICAS OBJETIVAS
DOI: 10.6084/m9.figshare.3553725.v1
title: Appendix C. Salt-marsh plant groundcover and frequency of occurrence with the black mangrove, A. germinans.

description: Salt-marsh plant groundcover and frequency of occurrence with the black mangrove, A. germinans.
DOI: 10.17632/bb6sg2k5ck
title: HLTF Resolves G4s and Promotes G4-Induced Replication Fork Slowing to Maintain Genome Stability. Gongshi Bai et al.

description: G-quadruplexes (G4s) form throughout the genome and influence important cellular processes. Their deregulation can challenge DNA replication fork progression and threaten genome stability. Here, we demonstrate an unexpected role for the dsDNA translocase HLTF in responding to G4s. We show that HLTF, which is enriched at G4s in the human genome, can directly unfold G4s in vitro and uses this ATP-dependent translocase function to suppress G4 accumulation throughout the cell cycle. Additionally, HLTF and MSH2, a component of MutS heterodimers which bind G4s, act independently to suppress G4 accumulation, to restrict alternative lengthening of telomeres and to promote resistance to G4 stabilizing drugs. In a discrete but complementary role, HLTF restrains DNA synthesis when G4s are stabilized by suppressing PrimPol-dependent repriming. Together, the distinct roles of HLTF in the G4 response prevents DNA damage and potentially mutagenic replication to safeguard genome stability.
Unprocessed microscopy, gel, and western blot images related to the manuscript are organized by figure numbers. Please refer to the manuscript for details.
DOI: 10.6084/m9.figshare.20022992.v1
title: CCI_monthly_wajh_1km_updated.mat

description: Monthly Chlorophyll-a data
DOI: 10.6084/m9.figshare.9731339.v2
title: Data sets from Figures 1 to 9

description: Data sets from Figures 1 to 9
DOI: 10.17632/23jzxbnknf
title: Kelvin-Helmholtz billow intensity determines effect on pelagic ecosystems in the Kuroshio

description: Echo sounder images revealed weak and strong Kelvin-Helmholtz (KH) billow conditions produced over a seamount along the Kuroshio in two separate surveys. This dataset includes CTD information, and chlorophyll a and nitrate profiles used for the analyses needed to describe the effects of varying KH billow intensities on pelagic ecosystems in the Kuroshio. Vertical profiles of temperature, nitrates and chlorophyll a were plotted, using Surfer 13, for a time-series survey over K seamount and along two transects surveyed during each cruise. KH billows in the ocean appear to contribute to the vertical transport of nutrients, which promotes chlorophyll a production. Shallow billows, regardless of vertical scale seem to contribute to subsurface chlorophyll production by entrainment of ambient dissolved inorganic nutrients. Deeper billows, on the other hand, have a more direct role in resuspending materials from the seafloor.
DOI: 10.6084/m9.figshare.20417568.v4
title: RESEARCH ON FACTORS AFFECTING TOURIST INVOLVEMENT IN COFFEE TOURISM AFTER COVID-19 PANDEMIC IN THAILAND

description: A survey of 400 coffee tourists, both Thai and foreign, is administered as part of the study. Coffee tourism places in Thailand were mostly frequented for fun by Thai tourists, according to research. To learn about coffee production and marketing firsthand, they wanted to take a trip of coffee farms as well. Coffee tourism in northern Thailand appears to be very well managed, based on the responses of Thai tourists. For the same reason, replies from international coffee tourists revealed that many of their trips to coffee tourism sites were purely for pleasure rather than business. Additionally, they wanted to learn more about coffee tourism by meeting with regional tour guides and purchasing locally produced and handcrafted goods. <br> A total of 6,485,791 Thais and internationals visited coffee plantations during the study, including Chiang Rai, Chiang Mai, Mae Hong Son, and Lampang provinces. Several tourists from Thailand and abroad took part in coffee-related tourism activities, such as tours of the cultivation and production areas or tasting coffee. 400 visitors out of 6,485,791 visitors to the coffee plantations agreed to participate in the survey and fill out the questionnaire. A questionnaire was given to 400 visitors that covers attractions, accessibility, amenities, packages, activities, and ancillary services.
DOI: 10.6084/m9.figshare.26412295.v4
title: Data for Local nutrient addition drives plant diversity losses but not biotic homogenization in global grasslands

description: The files include: 1, raw cover data for control and nutrient addition by NPK in year 4 and year 14 at 72 NutNet sites. 2, raw cover data for sites have five blocks in year 4. 3, sites with geolocation and experimental years used, 4. site drought index, 5. site herbivores. 6, site productivity. 7, site species pool, 8. minimum area and distance among blocks, and generated dataset of 9. effects of nutrient addition on diversity across scales.Methods for estimating cover and species richness, definitions and quantification for site covariates (i.e. site drought index, site herbivores, site productivity, site species pool, and minimum area and distance among blocks) can be found in the method section of the main text. Please access the main text through this link: https://www.biorxiv.org/content/10.1101/2024.03.27.586835v4.<br>
DOI: 10.17632/5j43dpkx79
title: Data for: Maize straw mulching combined with no-tillage relieve drought stress during tillering improves grain yield and water-nitrogen use efficiency in a dry land wheat-maize rotation system

description: In this data set, ALL of the data associated with the manuscript "Maize straw mulching combined with no-tillage relieve drought stress during tillering improves grain yield and water-nitrogen use efficiency in a dry land wheat-maize rotation system" are provided in a format of *opju, and you will be able to download these data and open it using the originlab 9.0 software after finial decision made by editor. If you have any interest, please do not hesitate to contact me. email. fangao20056@126.com
DOI: 10.17632/nxvdzybwhf
title: Illuminating host-mycobacterial interactions with genome-wide CRISPR knockout and CRISPRi screens

description: The data deposited here contains genome-wide CRISPR knockout and CRISPRi screen data, including the positive hits, the negative hits, and non-targeting controls.
DOI: 10.6084/m9.figshare.20304036.v2
title: Documents included in the pre-analysis of the study “Digital Health in PHC in the context of the COVID-19 pandemic: arguments from WHO, PAHO and Brazilian health agencies

description: This publication aims to present the framework of documents included in the pre-analysis considering the 5 dimensions (year of publication, author, authenticity, and reliability, type of document, key concepts proposed by (Cellard (2012)) of the Documentary Study, type Rhetorical analysis (Perelman and Obrechts-Tyteca (2005), entitled “Digital Health in PHC in the context of the COVID-19 pandemic: arguments from WHO, PAHO and Brazilian health agencies”`* *The Study “Digital Health in PHC in the context of the COVID-19 pandemic: arguments from WHO, PAHO and Brazilian health agencies” is part of the thesis: ARAÚJO A J. Digital Health in Primary Health Care in the context of the COVID-19 pandemic 19 in Brazil: similarities and diversities of discourses from health agencies and perceptions of the health professionals involved. Advisor: Severina Alice da Costa Uchoa. Thesis (Doctorate in Public Health) - Federal University of Rio Grande do Norte, Natal, 2022 (in progress)
DOI: 10.6084/m9.figshare.20633139.v1
title: Data

description: Although some studies have been conducted to validate the accuracy of thePerception Neuron Studio (PNS) inertial motion capture system in quantifying kinematics, a comprehensive analysis of the more complex upper body is still lacking, which affects the ability of this system to provide accurate kinematic data for further biomechanical performance analysis. This study presents a thorough analysis of thissystem by quantifying the validity and intra/inter-session reliability at different task complexities and movement speeds.
DOI: 10.6084/m9.figshare.28661345.v1
title: UW 39958 digital model and image set

description: UW 39958 pterosaur manus-pes set<i>Pteraichnus </i>isp.Sundance Formation, Seminoe Reservoirlate Oxfordian-early Kimmeridgian, Upper Jurassic
DOI: 10.17632/28hj2jdy6r
title: Data of The Shard Test and Nanoporomechanics Reverse the Classical Paradigm of Cement Hydration Being Contractive

description: For a century, the chemical hydration of cement has been considered a contractive process. This behavior occurs in the nanoscale hydration of cement particles with water, producing a smaller volume of hydration products. The cement hydration of the colloidal cement system generates a shell of hydration product surrounding the inner anhydrate particle. After the initial shell is created, the diffusion drives water into the inner anhydrate cement, and the internal growth of new hydration produces crystal growth pressure. 

A new experiment procedure shows chemical expansion above the nanoscale. Cement paste slabs that are 0.5 mm thick show volumetric expansion when exposed to full saturation by submerging them in water. In contrast, the identical cement paste slabs are 0.5 mm thick show volumetric contraction due to self-desiccation when submerged in paraffin oil. The topography of the concrete slabs submerged continuously in water or paraffin oil is measured using the Olympus 3D Laser Confocal Microscope as time evolves.

The Raw Data Confocal Microscoper (Not Trimmed) folder shows the following: STL files for the measured topography for five samples per each day.

The Trimmed Data Confocal Microscope folder shows the trimmed .STL samples for the five samples after using Meshmixer to remove the petri dish and the carbon tape from the specimens' surface topography. The point cloud .ply is saved from the trimmed .stl file.

The MatLab Code Volume Integration Scheme folder shows the volume calculation under the surface of the point cloud .ply. The MatLab Code divides the X and Y coordinates into infinitesimal grids. Then, it locates all the point cloud points inside the grid and calculates their average height in z direction [f (i,j)]. Finally, the volume is the sum of the infinitesimal prisms with delta_V = f(i,j) * delta_x * delta_y. 

The Analysis Summary folder shows the Excel spreadsheet with the summary of the measurement of both systems for the five specimens. The volume not presented in the sheet for individual days is due to an error in acquiring the laser raw data.
DOI: 10.6084/m9.figshare.14999463.v1
title: carclaims.csv

description: 67856 insurance policies and 4624 (6.8%) claims in Australia between 2004 and 2005.
DOI: 10.6084/m9.figshare.3803688.v3
title: Multiscale molecular simulations of the formation and structure of polyamide membranes created by interfacial polymerisation (Supporting material)

description: Supporting material for:<br>Muscatello, J., Müller, E. A., Mostofi, A. A. & Sutton, A. P. Multiscale molecular simulations of the formation and structure of polyamide membranes created by interfacial polymerization. <i>J Membrane Sci</i> <b>527</b>, 180–190 (2017).<br><br>Large scale molecular simulations to model the formation of polyamide membranes have been carried out using a procedure that mimics experimental interfacial polymer- ization of trimesoyl chloride (TMC) and metaphenylene diamine (MPD) monomers. A coarse-grained representation of the monomers has been developed to facilitate these simulations, which captures essential features of the stereochemistry of the monomers and of amide bonding between them. Atomic models of the membranes are recreated from the final coarse-grained representations.<br><br>This data set includes both the programs needed to recreate the data and final atomistic configurations (LAMMPS) for the membranes described in the original publication.<br>
DOI: 10.6084/m9.figshare.6344894.v2
title: Germain_et_al_SOSPdivorce_AnalysisCode from Individual repeatability and heritability of divorce in a wild population.

description: This file contains the R code to conduct the mixed model analyses using the ‘MCMCglmm’ package in ‘R’.
DOI: 10.6084/m9.figshare.818765.v4
title: Plastic Debris in the North-west Marine Region, Australia

description: This fileset reports sea surface plastic concentrations (pieces per km^2) at nine locations (net stations) sampled aboard RV Solander (Trip 5866 - September, 2013). If you have any comments or questions, contact us at jureisser@gmail.com