cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.28847705.v2
title: Supplementary Materials for Schechter et al. (EcoPhylo Method Paper)

description: Supplementary Tables mentioned in the manuscript, and Tables that are mentioned in the Supplementary Information file for the Schechter et al manuscript titled "Quantitative insights into the efficacy of genome-resolved surveys of microbial communities through ribosomal protein phylogeography and EcoPhylo".
DOI: 10.17632/gz35m94jkn
title: Economic behavior and emotion reports in trust game interactions with fellow humans and robots.

description: In Schniter, Shields, and Sznycer (2019) we focus our research on key issues relevant to the topic of trust-based interactions with robots (i.e., agentic forms of artificial intelligence (AI) and automation): (i) that people may not trust robots as they do humans, and (ii) that people may react to robots with different emotions. Using laboratory experiments that model trust-based interactions, we compare trust-based investment and emotions from across three nearly identical economic games: human-human trust games, human-robot trust games, and human-robot trust games where the robot decision also affects another human. In each of these trust games, a human trustor decides how much of a ten dollar endowment to entrust to a trustee (e.g. a fellow human, a robot). The experimenter multiplies the entrusted amount by three - creating potential gains from trust. Then the trustee receives this and decides how much to reciprocate to the trustor. We explain to participants who interact with them that the robots are programmed to mimic humans: they make automated reciprocity decisions based on previously observed behaviors by humans in analogous situations. After conclusions of the trust-game interactions, we provide participants feedback about their interactions and then participants rate how much they feel various positive and negative emotions. In this companion publication, we provide the raw data generated by participants (N = 397) in the role of "Investor" (“Person 1” in the participants’ instructions) and also "Trustee" (either “Person 2” or “the Robot”, depending on condition in the participants’ instructions) in our trust game experiment. This data is organized into two parts (1) the participants’ economic behavior in the trust games and their emotion reports from the post-game questionnaire, (2) a codebook explaining participants’ data.
DOI: 10.17632/mkv46c9wc2
title: Decarbonization potentials of rooftop PV system for all the municipalities of Japan

description: This supplementary data is to analyze the decarbonization potentials of rooftop PV with EVs as batteries for all the municipality of Japan. It contains MATLAB codes and inputs for the analysis and results of the analysis. The paper was published in Applied Energy in May 2025. https://www.sciencedirect.com/science/article/pii/S0306261925007974
In version 5, the Shikoku plot in the Figure A2 was replaced in the file, "figall.pdf".
DOI: 10.17632/nwhkw6y546
title: Durian Samples

description: Data Samples for Multiple Classifications
DOI: 10.6084/m9.figshare.11619792.v1
title: Network symmetry datasets

description: Datasets associated to 'Exploiting Symmetries in Complex Network Analysis' by Ruben J Sanchez-Garcia<br>Preprint available at https://arxiv.org/abs/1803.06915<br>Please cite this paper if you use or adapt the datasets<br><br>For each dataset, there are five files:<br> .g Edge list in saucy input format (nodes labelled 0 to n-1)<br> .gen List of generators in saucy output format<br> .gd Disjoint-support partition of generators<br> .or List of symmetric motifs with orbits separated by '*'<br> .sm List of symmetric motif types<br>Please see the article for more information. <br>
DOI: 10.6084/m9.figshare.21365835.v3
title: An Internal Wave Dataset from Sentienl-1 SAR Imagery (IWs Dataset v1.0)

description: This dataset contains 390 Synthetic Aperture Radar Imagery of Internal Waves acquired in Andaman Sea, Sulu Sea, Celebes Sea and South China Sea and the corresponding labels. These images are Sentienl-1 GRD downsampled images. Time from April 15, 2014 to December 15, 2021. labels indicate the IWs region in SAR imagery in YOLO format.
DOI: 10.6084/m9.figshare.22211881.v1
title: Andrades et al - Sup Data.xlsx

description: Supporting data for the manuscript "Tidepool fishes of the Americas" by Ryan Andrades et al.
DOI: 10.6084/m9.figshare.22691464.v1
title: Untitled Item

description: The MIDOG++ dataset represents an extension of the data set used in the MIDOG 2021 and 2022 challenges. We provide region of interest images from 503 histological specimens of seven different tumor types with variable morphology: breast carcinoma, lung carcinoma, lymphosarcoma, neuroendocrine tumor, cutaneous mast cell tumor, cutaneous melanoma, and (sub)cutaneous soft tissue sarcoma. The human and canine samples were processed and stained at different human and veterinary pathology laboratories with standard H&E dye and digitized with different digital whole slide image scanners. We provide labels for 11,937 mitotic figures that have been differentiated against 14,351 imposter cells in a blinded consensus by two pathologists and a final decision by a third pathologist for disagreed labels.
DOI: 10.6084/m9.figshare.25579821.v2
title: SNPs files of Sebastes schlegelii

description: SNPs files of Sebastes schlegelii
DOI: 10.17632/vw2m9w8b2c
title: Pilot Data of Instrument Validation for Factor Affecting Indonesian Preservice Mathematics Teachers' Technology Integration

description: The dataset is a pilot study data as part of instrument validation for determining the factors of Mathematics-Technological Pedagogical Content Knowledge (Math-TPACK), Beliefs in Digital Mathematics Learning Media (DMLM), and Beliefs in online learning (OL) had a significant influence on Indonesian PSMTs' use of DMLM (UDMLM) in online teaching practices. In theory, yes. Schmidt et al. [1] defines TPACK as a useful framework for thinking about what knowledge teachers must have to integrate TPACK as a framework for measuring teaching knowledge may have an impact on the type of training and professional development experiences designed for both pre-service and in-service teachers. As a result, Math-TPACK can be defined as a TPACK framework based on mathematical knowledge and mathematical software. The TPACK framework is made up of three types of knowledge: technological knowledge (TK), pedagogical knowledge (PK), and content knowledge (CK). In addition, TPACK also consists of a combination of the three basic knowledge, namely pedagogical-content knowledge (PCK), technological-content knowledge (TCK), technological-pedagogical knowledge (TPK), and technological-pedagogical-content knowledge (TPACK).
Beliefs in DMLM and Beliefs in OL were also examined using the Theory of Planned Behavior (TPB). TPB was first introduced by Ajzen in 1980 as an academic framework aimed at understanding someone's belief in things, objects, or ways [2]. TPB is made up of three basic components: attitude (AT), which is a factor that motivates someone to do something; subjective norm (SN), which is associated with how other influential and important people accept and understand the specific behaviors that are suggested to be performed; and perceived behavioral control (PBC), which is a set that deals with the presence or absence of necessary resources and opportunities. AT refers to factors that influence PSMTs' views on DMLM in the context of beliefs on DMLM. Next, SN discusses how the environment around PSMTs helps them integrate DMLM during teaching practice. Finally, PBC refers to the condition in which PSMTs have complete control over their desire to use DMLM. In the context of online learning beliefs, AT refers to factors that influence PSMTs to use online learning mode. Furthermore, the SN component refers to how the PMSTs' surroundings assist them in using the online learning model. Finally, the PBC component refers to how PSMTs can exercise complete control over their desire to use online learning mode.
DOI: 10.6084/m9.figshare.10050035.v2
title: Plant-hummingbird interactions empirically sampled by us in a xeric shrubland of Mexico from 2012–2015.

description: Plant-hummingbird interactions empirically sampled by us in a xeric shrubland of Mexico from 2012–2015.
DOI: 10.6084/m9.figshare.13108067.v2
title: EMG dataset for the analysis of equilibrium-related muscle activity during a series of balance platform tasks performance

description: All subjects were instructed to maintain a balanced posture during their attempts on the balance platform. The balance of a human body is limitedly stable due to the small fulcrum, as well as the high location of the general center of mass of the body. Therefore, even the most insignificant internal or external influences can disturb the balance and result in the balance platform touching the floor. <br>During the experimental session, we were recording EMG signals. The arrangement includes the following muscles: Tibialis Anterior (TA), Gastrocnemius Medial head (GM), Rectus Femoris Straight head (RF), Semitendinosus (ST). Before the electrodes were placed, the subject was instructed on how to selectively activate each muscle to optimize the EMG signal and minimize cross-talk from adjacent muscles during isometric contractions. The signals were acquired via the pre-gelled single-use electrodes Swaromed 1036 (Vermed, Austria) with a silver/silver chloride sensor placed on the skin above the muscle. The impedance was monitored after the electrodes were installed throughout the experiments. Usually, the impedance values varied within a 2--5 kOhm interval. The "Encephalan-EEG-19/26" (Medicom MTD company, Taganrog, Russian Federation) with a set of A-5364 cables for EMG derivations was used in the experiment. This device possessed the registration certificate of the Federal Service for Supervision in Health Care No. FCP 2007/00124 of 07.11.2014 and the European Certificate CE 538571 of the British Standards Institute. We filtered raw EMG signals with a band-pass filter with cut-off frequencies at 1 Hz (LP) and 100 Hz (HP) and with a 50 Hz notch filter embedded in the hardware-software data acquisition complex.Balance attempts were determined as the time interval between consecutive moments when the platform angle stayed withing the 19 degree limits. An attempt was considered as successful if its duration was longer than one second. Ten attempts per session per subject are available.<br>
DOI: 10.6084/m9.figshare.16929838.v1
title: Sound in rays - video files

description: Observations of sound production by stingrays incidentally recorded: adult Urogymnus granulatus in Gilli Trawangan, Indonesia, juvenile U. granulatus near Magnetic Island, Australia, and adult Pastinachus ater near Heron island, Australia.<br> We are grateful to Philip Christoff for providing his observation for inclusion in the publication stemming, in part, from this dataset. <br> When using or referencing this footage cite: Fetterplace et al. (2022). Evidence of sound production in wild stingrays. <em>Ecology</em>. <strong>https://doi.org/10.1002/ecy.3812</strong> <br>
DOI: 10.6084/m9.figshare.19102772.v1
title: Measurements of GICs in Austria in Sept 2017

description: The files contain measurements of geomagnetically induced currents (GICs) flowing through the neutral points of two transformers in separate substations in the Austrian power grid. The data cover a period of days in September 2017 when there was one of the strongest geomagnetic storms in the recent years, and subsequently some of the largest GICs recorded in Austria thus far. These are used as an example demonstrating the effectiveness of a GIC forecasting method based on neural networks.<br><br><i>gic_1and5_meas_sept2017.csv</i> - the measurements from substations #1 and #5.<br><i>gic_1_pred_sept2017.csv</i> and <i>gic_5_pred_sept2017.csv</i> - predictions of GICs from incoming solar wind data using a neural network.<br>More information on the measurements and how they were carried out can be found in https://doi.org/10.1029/2021SW002912 . This data is used in the work described in https://doi.org/10.1002/essoar.10508699.1 .<br>
DOI: 10.6084/m9.figshare.19310663.v1
title: 488 Fertilizer Raman data

description: Raman spectroscopy data of common lawn fertilizers
DOI: 10.6084/m9.figshare.743699.v1
title: GSOD Weather NOAA

description: Average Daily Temperature at various sites throughout the US
DOI: 10.17632/khwgk5t2zg
title: Sampling for welfare assessments: Individual cow, pen, and farm data with SAS code for dairy cow sampling strategies

description: Introduction. The aim of this study was to evaluate how sampling strategies currently used in 4 North American cattle welfare assessment programs affect the classification of dairy farms relative to various thresholds for lameness prevalence, injuries on the tarsal (hock) and carpal joints, and body condition score. Methods. All 12,375 lactating cows on 38 freestall dairy operations in the state of Paraná, Brazil were assessed between March and October 2016 for lameness, injuries on the tarsal (hock) and carpal joints, and body condition score (BCS). In addition, we collected farmer-reported numbers of dry cows, pre-weaned heifer calves, and weaned heifers ≤1 yr old. The number in the latter 2 groups was doubled to estimate the number of bred heifers. These categories were summed with the number of lactating cows to generate an estimate of total herd size. To test Objective 1, we evaluated 9 sampling strategies based on those used in existing North American dairy cattle welfare assessment programs. Desired precision (d) of 15, 10, or 5% was used in the sample size formula, applied to either all lactating cows, a high-producing pen of cows, or the total herd size (with lactating cows selected in proportion to their representation in the herd) on all n = 38 farms. To test Objective 2, all cows in the high-producing pen were compared against all lactating cows on all n = 38 farms. To test Objective 3, the sample size formula using d = 15, 10, or 5% was applied to all lactating cows either including or excluding the hospital pen on the n = 20 farms with this pen type. For Objectives 1 and 3, we selected cows randomly in 10,000 replicates using a simple random sampling technique in SAS, and the outcome measures were classification metrics (percent agreement, kappa, sensitivity, specificity, and positive and negative predictive value) for the true vs. estimated prevalence based on the samples. For Objective 2, the outcome measures were classification accuracy and kappa for the high-producing pen vs. all lactating cows and the linear regressions for the relationship between these populations. Results. As the number of sampled cows increased, so did classification performance. Assessing a single pen of high-producing cows resulted in farm classifications similar to all lactating cows, and the former might be a more efficient assessment strategy. Relative to selecting from all lactating cows, excluding cows in the hospital pen had little effect on farm classification.
DOI: 10.17632/p8bjyrg5jh
title: Off-lattice hybrid kinetic Monte Carlo/molecular dynamics simulations on iron polyphosphate films from tricresyl phosphate molecules

description: This dataset contains data from our hybrid off-lattice kinetic Monte Carlo/molecular dynamics simulations on the thermal decomposition of (lubricant additive) tricresyl phosphate molecules on Fe (110). The dataset can be used to obtain growth rates, surface (e.g., Fractal Dimension, Root Mean Squared Roughness) as well as structural/chemical properties (Radial Distribution Function, Phosphate Chain Length, chemical composition) of thin films from TCP. The assumptions, limitations, and methods associated with the kMC/MD model of the present work are provided in our preprint titled "A hybrid off-lattice kinetic Monte Carlo/molecular dynamics method for amorphous thin film growth" (https://doi.org/10.26434/chemrxiv-2023-9fl0k-v2).
DOI: 10.6084/m9.figshare.12162855.v2
title: GTT-1-protein-142.dcdWW domain trajectories

description: Trajectories of ww domainTrajectories dataTrajectories of WW domain
DOI: 10.6084/m9.figshare.22693042.v1
title: DFT data for figures

description: Raw data of VASP configuration ifles, selected VASP output files, and scripts for generating the figure plots related to this research.
DOI: 10.6084/m9.figshare.25448254.v1
title: Shared Data for "Transcranial volumetric imaging using a conformal ultrasound patch"

description: Here are the shared data including the method comparison results and intervention results.
DOI: 10.6084/m9.figshare.28750625.v1
title: S1 Dataset.xlsx

description: With technological advancements worldwide, developing effective and efficient chatbots for e-commerce platforms is essential. This study focused on how e-commerce platforms can develop well-functioning AI-driven chatbots using three different affordances: information association, visibility, and interactivity, based on affordance theory. This study also examines the mediating effects of customer satisfaction and trust in the relationship between the three AI-driven chatbot affordances and customer engagement. Further, this study analyzed how these variables are essential, their performance, and their necessity in the context of AI-driven chatbots. Using partial least squares structural equation modeling (PLS-SEM), importance-performance map analysis (IPMA), and necessary condition analysis (NCA), the results show that customer satisfaction and trust partially mediate these relationships. According to the results, customer satisfaction and trust act as partial mediators. Moreover, all the variables were found to have high performance, but only visibility and interactivity were highly important. Regarding the necessary condition analysis, interactivity was unnecessary to build customer trust. However, all the variables were highly necessary for customer engagement. Conducted in Sri Lanka, this study adds valuable insights into the underexplored topic of AI-driven chatbot affordances and their impact on customer engagement. It offers refined insights into the mediating mechanism of customer satisfaction and trust.
DOI: 10.17632/546t9249bv
title: Gridded emissions of CO, NOx, SO2, CO2, NH3, HCl, CH4, PM2.5, PM10, BC and NMVOCs emissions from open municipal waste burning in India

description: This data set contains a new municipal open waste burning emission inventory from India (OWBEII), at a resolution of 0.1° x 0.1°. The data is provided in the format latitude, longitude, CO2, CO, H2, NO, NO2, SO2, NH3, CH4, NMOC, BIGALD, BIGALK, BIGENE, C0H6, C2H4, C2H5OH, C2H6, C3H6, C3H8, CH2O,CH3CHO, CH3COCH3, CH3COCHO, CH3COOH, CH3OH, PHENOL, CRESOL, GLYALD, HYAC, ISOP, MACR, MEK, MVK, HCN, CH3CN, BENZENE, TOLUENE, XYLENES, PM25, OC, BC, PM0,HCOOH, C2H2. All emissions are given in the unit tonne per year per grid cell. The latitude and longitude value given refers to the lower left (southeast) corner of the grid cell. The emission inventory is valid for the year 2015. 
A detailed description of the method used to compile the dataset can be found in Sharma et al (under review in ES&T).
Kindly insert the following citation when using this data set:
Gaurav Sharma, Baerbel Sinha , Pallavi, Haseeb Hakim, Boggarapu Praphulla Chandra, Ashish Kumar, Vinayak Sinha, Gridded emissions of CO, NOx, SO2, CO2, NH3, HCl, CH4, PM2.5, PM10, BC and NMVOCs emissions from open municipal waste burning in India,Environmental Science and Technology, 53, 4765-4774, 2019. For those that would like to use our activity data with their own emission factors there is also a file with just the amount of waste burned. 
The HCl data is in a seperate file. 

Our updated 2020 emission inventory featuring improved estimates of emissions from landfill fires, and more accurate waste generation rates due to partitioning into 5 income quintiles is available in the following paper.
 Pooja Chaudhary, Saryu Garg, Tess George, Muhammed Shabin, Sneha Saha, Baerbel Sinha, Underreporting and open burning – the two largest challenges for sustainable waste management in India, Resources Conservation and Recycling Volume 175, December 2021, 105865
https://www.sciencedirect.com/science/article/pii/S0921344921004742
DOI: 10.6084/m9.figshare.13148807.v1
title: Correlation matrix

description: Correlation matrix
DOI: 10.6084/m9.figshare.24772905.v4
title: S1_Table:SensorConsistencyTest

description: This is the data that was used for consistency testing.ML is used to code the air, tap water and distilled water.0 = Air, 2001 = Tap Water, 3001 = Distilled waterProcessed data views of the consistency tests are available in the S1_Table.xlsx. This has mean, SD, SE, Max and Min, by colour, per sensor.Tabs defined:Raw: Tab contains all of the data used for analysis and is summarized in the following tabs.MeanBySensorByColor: Summarizes the mean for each color under each condition for each sensor.MeanBySensor: Summarizes the mean for all colors for all conditions by sensor
DOI: 10.17632/8p5fnn4ytx
title: Dolui_dataset1

description: Physicochemical dataset for bulk soils and soil organic matter fractions as well as figures of merit for statistical analyses (Anova, t-tests, linear mixed effect i.e., LME models and Spearman correlations) and predicted parameters of soil organic matter turnover models (turnover time and transfer coefficient between mineral fraction and occluded light fraction). This dataset is supplementary to a manuscript in preparation by Dolui et al (Soil organic matter stabilization by polyvalent cations in a buried alkaline soil, under review), a study which explores carbon dynamics of paleosols in burial and erosional transects of the Great Plains, Nebraska.
DOI: 10.6084/m9.figshare.24131685.v3
title: Data along with Scientific Reports

description: Here is the data in the study named "<b>The role of offensive processes and age development for female soccer players’ anticipation</b>"
DOI: 10.6084/m9.figshare.2729782.v4
title: Raw data of S. mentella parasite community analysis

description: <b></b>Host biometric and parasite analysis raw data. TL= Total Length, TW= Total Weight, SL= Standard Length
DOI: 10.6084/m9.figshare.c.3613058_d5.v1
title: Additional file 2: of SWIFT-Review: a text-mining workbench for systematic review

description: CAMARADES dataset. (XLSX 17704 kb)
DOI: 10.6084/m9.figshare.c.3740018_d3.v1
title: Additional file 3: of The influence of parental practices on child promotive and preventive food consumption behaviors: a systematic review and meta-analysis

description: Database of all studies included in this review. This database allows for filtering of the studies according to the age group of children. (XLSX 47 kb)
DOI: 10.6084/m9.figshare.25532455.v1
title: Simulation code

description: This file is the simulation code for an evolutionary game models.