cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.24798855.v2
title: Combinatorial prediction of therapeutic perturbations using a causally-inspired neural network

description: Dataset supporting "Combinatorial prediction of therapeutic targets using a causally-inspired neural network"<b>Abstract: </b>Phenotype-driven drug discovery, as an emerging alternative to target-driven strategies, focuses on identifying compounds that counteract the overall effects of diseases by analyzing phenotypic signatures. Our study introduces a novel approach to this field, aiming to expand the search space for discovering new therapeutic agents. We introduce PDGrapher, a causally-inspired graph neural network model designed to predict arbitrary perturbagens – a set of therapeutic targets – capable of reversing disease effects. Unlike current methods, which are limited by their reliance on predefined compound libraries, PDGrapher employs a novel combinatorial prediction framework to widen the search scope. PDGrapher has demonstrated significant improvements in predicting effective perturbagens, as evidenced by our evaluation across four datasets of genetic and chemical interventions. Notably, PDGrapher successfully predicted effective perturbagens in up to 10% additional test samples and ranked known therapeutic targets up to 35% higher than competing methods. A key innovation of PDGrapher is its direct prediction capability, which contrasts with the indirect, computationally-intensive models traditionally used in phenotype-driven drug discovery. This direct approach enables PDGrapher to train up to 30 times faster, representing a significant leap in efficiency and effectiveness. The results from our study suggest that PDGrapher could substantially advance phenotype-driven drug discovery, offering a faster, more expansive approach to identifying novel therapeutic compounds.
DOI: 10.6084/m9.figshare.25465036.v2
title: Augmented CARDS Dataset

description: Misinformation about climate change poses a significant threat to societal well-being, prompting the urgent need for effective mitigation strategies. However, the rapid proliferation of online misinformation on social media platforms outpaces the ability of fact-checkers to debunk false claims. Automated detection of climate change misinformation offers a promising solution. In this study, we address this gap by developing a two-step hierarchical model—the Augmented CARDS model—specifically designed for detecting contrarian climate claims on Twitter. Furthermore, we apply the Augmented CARDS model to five million climate-themed tweets over a six-month period in 2022. We find that over half of contrarian climate claims on Twitter involve attacks on climate actors or conspiracy theories. Spikes in climate contrarianism coincide with one of four stimuli: political events, natural events, contrarian influencers, or convinced influencers. Implications for automated responses to climate misinformation are discussed.
DOI: 10.17632/d3csh6m8w7
title: Guarani Aquifer System groundwater samples on its northern portion - Brazil

description: This dataset presents groundwater samples from the Guarani Aquifer System (GAS) on its northern portion in Brazilian territory, specifically located in the states of São Paulo (SP), Mato Grosso do Sul (MS) and Paraná (PR). The dataset includes samples’ location (WGS coordinates), physical (temperature, pH and electrical conductivity), hydrochemical, strontium isotopes and stratigraphic data. The dataset originates from non-published samples collected during the “Project of Environmental Protection and Sustainable Development from the Guarani Aquifer System (PGAS)” (OEA, 2009), coordinated by the Organization of American States (OAS), between the years 2003-2008; as also includes 4 new GAS strontium isotope data from samples which the hydrochemical data was previously published by Gastmans (2007) and OEA (2009) (samples 36-37-38-45), and two unpublished sample. One is from GAS itself (64) and the other (X-IRE-PR) represents GAS groundwater mixed with PRE-GAS waters (underlying units). The GAS groundwater samples were classified in hydrochemical groups by a Piper Diagram, information presented in HG column as: 1 - Ca-HCO3 water type; 1a - SO4-Ca water type; 2 - Na-HCO3 water type; and 3 - SO4-Cl-Na water type. This dataset was evaluated in the first author (C.S.Q) master of science research, along with other published GAS groundwater data. This research related article was submitted to  Applied Geochemistry.

Cited references: 
Gastmans, D. 2007. Hidrogeologia e hidroquímica do Sistema Aquífero Guarani na porção ocidental da Bacia Sedimentar do Paraná. Rio Claro. Available at: http://hdl.handle.net/11449/102870
ORGANIZAÇÃO DOS ESTADOS AMERICANOS (OEA). 2009. Aquífero Guarani: programa estratégico de ações [Guarani Aquifer: strategic program of actions]. OEA: Washington, DC. 424 p.
DOI: 10.17632/m85f9h6g9j
title: Indoor Fire Dataset of Multi Sensor Data (Small Scale Test Chamber)

description: The dataset contains 4 incipient fire scenarios (wood, candles, cable, lunts; indicated by the column "scenario_label") carried out in a (2 x 0.8 x 0.6)m^3 test chamber without ventilation. Each scenario was repeated 4-6 times (indicated by he column "number_label") in random order with background sequences in between to reduce the influence of prehistory. Each experiment consists of multiple stages (up to 6 stages, indicated by the column "intensity_label") to simulate the development phase of a real scale fire in the small scale setup. The wood, cable and lunt material was burned using a 12 A heating coil, the candles fire was ignited with a lighter. The dataset consists of 2900 rows and 18 columns and is structures as a continuous multivariate time series. Each row represents the sensor measurements (CO2, CO, H2, humidity, particulate matter of different sizes, air temperature, VOC and UV) from one of four unique sensor nodes placed in the test chamber at a specific timestamp. In addition, a trend value based on the Kendall-Tau coefficient was calculated for each sensor measurement. The "Sensor_ID" column can be utilized to access data from different sensor node positions.
DOI: 10.6084/m9.figshare.13035050.v1
title: Athlete_Non-Athlete MH Survey - ALL DATA.csv

description: Data was collected from 753 participants on athlete mental health as the United Kingdom was emerging from a COVID-19 lockdown with a group of non-athletes used as a comparison. Data was collected on participants athletic identity, resilience, wellbeing, depression, anxiety and loneliness using a cross-sectional online survey design using the following measures:The Athletic Identity Measurement Scale (Brewer et al., 1993)The Brief Resilience Scale (Smith et al., 2008)The Mental Health Continuum Short Form (Keyes, 2005)The Hospital Anxiety and Depression Scale (Zigmond and Snaith, 1983)The Short Loneliness Scale (Gierveld and Tilburg, 2006)
DOI: 10.6084/m9.figshare.19139648.v1
title: Dataset for the Paper: "Analyzing Europe's Biggest Offshore Wind Farms: a Data set With 40 Years of Hourly Wind Speeds and Electricity Production"

description: The data in this repository consists of 4 files. This includes a readme file [readme.txt], a file summarizing the wind speed [All_Windspeed_Data.csv], a file for the resulting power outputs [All_Power_Data.csv],and a zip-file including detailed data for each wind farm [Data_Per_Wind_Farm.zip]. Each file can be downloaded seperatly or colectivly by clicking the "Download all"-Button.<br>The structure of this repository is as follows:<br>├── readme.txt (this file)<br>├── All_Power_Data.csv (Power time series of wind farms)<br>├── All_Windspeed_Data.csv (Windspeed time series of wind farms)<br>├── Data_Per_Wind_Farm (folder including csv-files for each wind farm) ├── Baie_de_Saint_Brieuc ├── Baltic_Eagle ├── Beatrice ├── Borkum_Riffgrund ├── Borssele_(Phase_1,2) ├── Borssele_(Phase_3,4) ├── Dieppe_et_Le_Treport ├── Dogger_Bank_(Phase_A,B) ├── East_Anglia_One ├── Gemini ├── Gode_Wind ├── Greater_Gabbard ├── Gwynt_y_Mor ├── Hautes_Falaises ├── Hohe_See ├── Hollandse_Kust_Noord ├── Hollandse_Kust_Zuid ├── Horns_Rev ├── Hornsea_(Project_1) ├── Hornsea_(Project_2) ├── Iles_dYeu_et_de_Noirmoutir ├── Kriegers_Flak ├── London_Array ├── Moray_Firth ├── Race_Bank ├── Seagreen ├── Seamade ├── Triton_Knoll ├── Walney<br><br><br><br>In the 29 files included in the zip-file [Data_Per_Wind_Farm.zip], we report detailed data for each wind farm. Therein, each column includs one variable while each row represents one point in time. Namely, the columns contain:- time- u-component of wind 100m above ground- v-component of wind 100m above ground- forecasted surface roughness (fsr)- scaled windspeed at hub heigts (heigt given in parentheses - multiple time series possible)- Wind direction in degrees- Power of wind turbines (type given in parentheses - multiple time series possible)- Turn_off (0: turbine turned off because of strong winds, 1: turbines active)- Power (resulting power output of wind farm over all turbine types).<br>Starting from January 1, 1980, 00:00 am UTC in the first row, the data set ranges up to December 31, 2019, 11:00 pm in the last of 350640 rows.<br>Similar to the detailed files per wind farm, each row in the two csv files [All_Power_Data.csv , All_Windspeed_Data.csv] reporting wind speed at hub height and total power represent one point in time for the same period.In the [All_Power_Data.csv] each row gives the sythetic resulting power outout in MW of one wind farm. I.e., the dataset includes 29 columns one for each wind farm. In the [All_Windspeed_Data.csv] each row gives the calculated windspeed im 100m above ground in m/s at the position of each wind farm. I.e., the dataset includes 29 columns one for each wind farm. <br>Data generated using Copernicus Climate Change Service information [1980-2019] and containing modified Copernicus Climate Change Service information [1980-2019].
DOI: 10.6084/m9.figshare.19394048.v1
title: Seagrass coverage map of the Mexican Caribbean: Cabo Catoche-Xcalak

description: The map represents the spatial distribution of seagrasses in shallow waters of the Mexican Mesoamerican Barrier Reef System, from Cabo Catoche to Xcalak, in an area of 1001 km<sup>2</sup>, with an average maximum depth of 18 m. It is generated from the benthic cover map of the marine ecosystems of the Mexican Caribbean: Cabo Catoche - Xcalak, combining the classes: (i) seagrass community and (ii) seagrasses and macroalgae. The benthic cover map was obtained from bottom reflectance, relief and bathymetry, coming from the analysis of 23 WorldView-2 satellite images (2009-2015). This product is the result of the ArrecifeSAM project, coordinated by CONABIO as part of the Marine-Coastal Information and Analysis System (SIMAR) (https://simar.conabio.gob.mx).<br><b>Acknowledgement</b>The authors acknowledge the logistical and technical support provided by National Financial Trust Fund for Biodiversity, the National Commission for the Knowledge and Use of Biodiversity (CONABIO), National Commission of Natural Protected Areas Mexico (CONANP), and National Autonomous University of Mexico, UNAM (UASA Marine Science and Limnology Institute, Science Faculty - Academic Unit Sisal).<br>
DOI: 10.6084/m9.figshare.29125841.v1
title: Questioner.xlsx

description: Raw Data for Questioner
DOI: 10.6084/m9.figshare.7564790.v4
title: Data_Flupyradifurone_Mortality, Foraging and Morphology_Hesselbach et al. (2019)

description: Dataset on Paper <br>
DOI: 10.6084/m9.figshare.9784859.v1
title: Face discrimination and emotion recognition in Parkinson's disease with dementia

description: <b> </b>We investigated three essential aspects of face processing capacity in PD-D, and the associations between cognitive, neuropsychiatric assessments and task performances. Twenty-four PD-D patients (mean age: 74.0±5.55) and eighteen age-matched healthy controls (HC) (mean age: 71.0±6.20) received three computerized tasks, <i>morphing-face discrimination</i>, <i>dynamic facial emotion</i> <i>recognition, </i>and <i>expression imitation. </i>Compared to HC, PD-D patients had lower sensitivity<i> (d’) </i>and greater neural internal noises in discriminating faces; responded slower and had difficulties with negative emotions; imitated some expressions but with lower strength. Correlation analyses revealed that patients with advancing age, slow mentation, and poor cognition (but not motor symptoms) showed stronger deterioration in face perception. Importantly, these correlations were absent in the age-matched HC. The present study is among the first few examined face processing in patients with PD-D, and found consistent deficits correlated with advancing age, slow mentation, and disturbed visual-spatial construction. We propose that face discrimination task could be included as a potential test for the early detection of dementia in PD.
DOI: 10.6084/m9.figshare.20167700.v1
title: Integrated Database for Economic Complexity

description: The database collect and aggregate the database of Goods and Services at 2 digits. While the data of Goods is already reconciled and regularized, the data of Service has been reconstructed in the present data.
DOI: 10.6084/m9.figshare.22127243.v1
title: Dixon_Smit_23_raw_data.xlsx

description: Presence/absence data relating to water dependence in 30 bird species from southern Africa arid zones, based on photos obtained from Facebook image search
DOI: 10.25390/caryinstitute.14529303.v2
title: Morphometry of Bluegill sunfish (Lepomis macrochirus) varies with lake dissolved organic carbon concentration

description: Inter- and intra-population trait polymorphisms related to foraging and locomotion in benthic and pelagic habitats have been observed in many fishes. Researchers have found that diet, habitat, visibility, and lake chemical components such as DOC are all associated with how different traits may present within fish species (Bentzen and Mcphail 1984; Ehlinger and Wilson 1988; Drinan <i>et al.</i> 2012; Bartels <i>et al.</i> 2016; Caves <i>et al.</i> 2017). The concentration of dissolved organic carbon (DOC) in the water strongly influences the productivity of benthic and pelagic food chains in lakes , suggesting that DOC might impose selection on these traits and lead to classic benthic-foraging “littoral” forms at low DOC concentrations and pelagic-foraging “limnetic” forms at high DOC concentrations. We tested this hypothesis via geometric morphometric and meristic analyses of body, fin, eye, and gill raker morphometry of Bluegill sunfish (<i>Lepomis macrochirus</i>, Centrarchidae) from fourteen lakes with DOC concentrations ranging from 4 to 24 mg L<sup>-1</sup>. These lakes were in close proximity to each other in northern Wisconsin, straddling the drainage divide between the Mississippi River and Laurentian Great Lakes watersheds. Many of the traits that we considered were significantly related to DOC concentration, and in most cases the sign (though not always the magnitude) of these relationships was consistent across the two watersheds. Fish from lakes with high DOC concentrations tended to have deeper bodies, deeper and shorter caudal peduncles, shorter and shallower heads, and perhaps larger eyes. Their pectoral fins tended to be inserted more anteriorly and perhaps vertically; pectoral fin length also varied with DOC, but the direction of this effect differed between the two watersheds. The gill rakers on the first branchial arch were longer and more widely spaced at high DOC, but the number of gill rakers did not vary with DOC. While many of the traits that we quantified were significantly related to DOC concentration, the directions of these relationships did not match with the predicted littoral-limnetic patterns. This may be because [MSt3] [CB4] DOC has complex effects on the fitness landscape for foraging and locomotion traits; because high DOC favors a littoral-limentic generalist rather than a limnetic specialist; or because the littoral-limnetic morphometric dichotomy is less clear and universal than is commonly thought.
DOI: 10.6084/m9.figshare.1244945.v2
title: Effects of height and load weight on shoulder muscle work during overhead lifting task

description: Few musculoskeletal models are available to assess shoulder deeper muscle demand during overhead lifting tasks. Our objective was to implement a musculoskeletal model to assess the effect of lifting height and load on shoulder muscle work. A musculoskeletal model scaled from 15 male subjects was used to calculate shoulder muscle work during six lifting tasks. Boxes containing three different loads (6, 12 and 18 kg) were lifted by the subjects from the waist to shoulder or eye level. After optimisation of the maximal isometric force of the model's muscles, the bio-fidelity of the model was improved by 19%. The latter was able to reproduce the subjects’ lifting movements. Mechanical work of the rotator cuff muscles, upper trapezius and anterior deltoid was increased with lifting load and height augmentation. In conclusion, the use of a musculoskeletal model validated by electromyography enabled to evaluate the muscle demand of deep muscles during lifting tasks.
DOI: 10.6084/m9.figshare.13322264.v1
title: CRAVE Confirmatory Factor Analysis w/ Summed PW and RN move and rest scores (Study 2). PCM 12/02/2020

description: Study 2, confirmatory factor analysis. Four new variables created: sums of PW move and rest, and RN move and rest. PCM 12/02/2020<br>Paul C. McKee
DOI: 10.6084/m9.figshare.21679637.v1
title: pbmc_latent_sample.h5ad

description: Sample embeddings obtained on the PBMC atlas
DOI: 10.6084/m9.figshare.26103073.v1
title: Pizzo et al 2024-Am J Physiol Heart Circ Physiol-Data

description: Data related to published manuscript Pizzo et al, Am J Physiol Heart Circ Physiol, 2024
DOI: 10.6084/m9.figshare.7231301.v1
title: 4 plant phosphorus concentration

description: plant phosphorus concentration
DOI: 10.17632/wzhv4dfctr
title: Trait responses of three tallgrass perennials to interactions

description: This study explored roots and shoots traits of three perennial plants native to tallgrass ecosystems in the United States (Silphum integrefolium - SCSC, Dalea Purpurea - DAPU, and Silphum integrefolium - SIIN) grown in eight-inch round pots outdoors and cold frames for six weeks in the summer of 2023 at the Chicago Botanic Garden in Illinois, USA. The plants were grouped in the following treatment combinations: 1) control where the plant was grown alone, 2) monoculture with two individuals of the same species, 3) triculture at density one with all three species but with only one individual of SCSC and two individuals of SIIN and DAPU, and 4) a density level two where there were two individuals of each species. Traits included: number of leaves, number of flowers, rooting depth, dry mass, RMF, total root length, root tip count, and rooting volume.
DOI: 10.6084/m9.figshare.1168939.v1
title: Characteristic X-ray lines of the elements

description: Tabulated characteristic X-ray lines of the elements.
DOI: 10.6084/m9.figshare.20027336.v1
title: UCSC chain files of soybean genomes

description: custom UCSC chain files of soybean genomes
DOI: 10.6084/m9.figshare.24197763.v1
title: datasets for heatmap

description: datasets for heatmap, based on rs and div values.Data related to the research regarding the relationship between idr & citation accumulation.
DOI: 10.6084/m9.figshare.26935630.v1
title: literature search_PlosOne_scoping review_training effects Exregames

description: result of the literature search to replicate study findings (without dublicates).submission PONE-D-23-44046R1
DOI: 10.6084/m9.figshare.27188601.v1
title: Data: <b>Lack of strong evidence for cone photoreceptors’ contribution to human melatonin suppression and alerting response to light</b>

description: data of the study on cone photoreceptors' contribution to human physiology
DOI: 10.6084/m9.figshare.12761966.v1
title: Chromosomal distribution of total variants in H3 genome

description: Chromosomal distribution of total variants in H3 genome
DOI: 10.6084/m9.figshare.19498212.v1
title: Additional file 6 of Prime-seq, efficient and powerful bulk RNA sequencing

description: Additional file 6: Table S4. (Method Cost) Per sample cost calculations for popular commercial and non-commercial RNA-seq methods including all consumables and reagents.
DOI: 10.6084/m9.figshare.1165595.v1
title: Critical current characterisation of AMSC Amperium® 2G HTS superconducting wire

description: Detailed measurements of the critical current of a commercial 2G HTS YBCO wire as a function of temperature, magnetic field, and field angle, performed at the Robinson Research Institute of Victoria University of Wellington. This data is referenced in N. M. Strickland, C. Hoffmann, and S. C. Wimbush, <em>A 1 kA-class cryogen-free critical current characterization system for superconducting coated conductors</em>, Rev. Sci. Instrum. 85 (2014) 113907.
DOI: 10.6084/m9.figshare.29068064.v1
title: Data <b>Factors Influencing Resilience</b>

description: Data resilience, career adaptability, individual entrepreneurial orientation, unemployment, emerging adult, metacognition.
DOI: 10.17632/244yhvtxsz
title: JAAD-D-22-01027

description: Supplemental Materials and Methods for "Baricitinib for the treatment of cutaneous dermatomyositis: A prospective, open-label study".
DOI: 10.17632/ghkhh4x49s
title: Data for: An analysis of the impact of Newcastle disease vaccination and husbandry practice on chicken productivity in Uganda

description: Data to accompany Bessell et al An analysis of the impact of Newcastle disease vaccination and husbandry practice on chicken productivity in Uganda The field description is in the XLSform survey that accompanies the paper. Note that to ensure anonymity of respondents: Names, villages, education have been removed Age has been put into budkets Coordinates have been rounded to 1 decimal place (approximately 100spkm at that latitude)
DOI: 10.6084/m9.figshare.3397732.v2
title: A generic webcam image acquisition plugin for ImageJ

description: A new ImageJ acquisition plugin that allows to capture images or videos as series of images from any webcam compliant device in a platform-independent manner, using the Webcam Capture library.
DOI: 10.6084/m9.figshare.7764092.v2
title: sample associated metadata for 91 ancient brown bear samples

description: Sample associated metadata for 91 ancient brown bear samples.
DOI: 10.17632/tk7dpwptkp
title: XtalOpt  version r9: An open-source evolutionary algorithm for crystal structure prediction

description: This program has been imported from the CPC Program Library held at Queen's University Belfast (1969-2018) Abstract A new version of XtalOpt, an evolutionary algorithm for crystal structure prediction, is available for download from the CPC library or the XtalOpt  website, http://xtalopt.github.io. XtalOpt  is published under the Gnu Public License (GPL), which is an open source license that is recognized by the Open Source Initiative. The new version incorporates many bug-fixes and new features, as detailed below. Title of program: XtalOpt Catalogue Id: AEGX_v3_0 Nature of problem Predicting the crystal structure of a system from its stoichiometry alone remains a grand challenge in computational materials science, chemistry, and physics. Versions of this program held in the CPC repository in Mendeley Data AEGX_v1_0; XtalOpt; 10.1016/j.cpc.2010.07.048 AEGX_v2_0; XtalOpt; 10.1016/j.cpc.2011.06.003 AEGX_v3_0; XtalOpt; 10.1016/j.cpc.2015.09.018