cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.1396485.v1
title: Sets A1, A2, and A3 of Color Images

description: This fileset contains sets A1, A2, and A3 of color images in acquisition devices optical resolutions, that were used in a research described in: R.Starosolski: <em>Reversible denoising and lifting based color component transformation for lossless image compression</em>, submitted. Images are stored in the PPM P6 format (color, binary, 8-bit component depth). A1 is a set of 3 images acquired from a 36mm high quality diapositive film using a Minolta Dimage 5400 film scanner, images stored in device’s optical resolution, image sizes from 7376x4832 to 7424x4864. These images after size reduction and conversion to grayscale where included in the mednat set (http://sun.aei.polsl.pl/~rstaros/mednat/index.html). A2 is a set of 17 images acquired using a general purpose Agfa e50 scanner from 36mm negatives, images stored in device’s optical resolution, image sizes from 1620x1128 to 1740x1164. A3 is a set of 116 images acquired using a Olympus Stylus XZ-2 consumer camera, image sizes 1992x1493. Since the camera detector uses a Bayer-pattern RGGB color filter array, we converted the grayscale Bayer-pattern image to a color image by taking for each group of RGGB subpixels the average of 2 green subpixels as the intensity of green pixel component and intensities of red and blue subpixels as intensities of red and blue pixel components, respectively. This way the image resolution is as close to the detector resolution as possible without interpolation (equal in case of red and blue components, lower for green components). For extracting Bayer-pattern image from RAW camera files dcraw version 9.24 was used (https://www.cybercom.net/~dcoffin/dcraw/).
DOI: 10.6084/m9.figshare.19236012.v2
title: The Impact of Strategy Performance Management Methods on Employee Well-being: A Case Study to Analyses Balanced Scorecard Effects

description: Survey`s DataStatistical Result Data Financial Statements Dataand Financial Analysis data The surveys that have used for this study included 27334 employees in the state of Michigan and the surveys data were analyzed by Statistical Package for Social Sciences (SPSS) 28. The study revealed that the BSC strategies implemented in the State of Michigan improved organizational performance in the four perspectives of financial, customer, internal process, and learning & growth. The statistical results of employee satisfaction surveys show that BSC increases job satisfaction by 68.30% (R-squared: 0.683), work engagement by 71.00% (R-squared: 0.710), and organizational commitment by 21.30% (R-squared: 0.213). With the BSC strategy and learning-growth perspective that has been in effect for 20 years, employee satisfaction has been increased, organizational commitment and job engagement have been prioritized in the State of Michigan. The result of this study will help leaders and HR departments measure and increase employee well-being with performance measurement tools.<br>
DOI: 10.6084/m9.figshare.5808609.v1
title: Online Material for "Associating Working Memory Capacity and Code Change Ordering with Code Review Performance"

description: Supplemental material for the paper "Associating Working Memory Capacity and Code Change Ordering with Code Review Performance". Contains a replication package, including the software used for the browser-based experiment UI, the analysis scripts, the raw data and various forms of processed data and some further materials. For more info, see "readme.txt".
DOI: 10.17632/rrb5x4pcdm
title: Security-Aware Coordinated Dispatch of Microgrid

description: This is the supplementary material and data for the paper "Security-Aware Coordinated Dispatch of Microgrid: Adaptive Online Optimization Approach ". It contains percentage output data for RES over 68 days (Five minutes a point), supplementary material for numerical studies and proof of the algorithm proposed in the paper.
DOI: 10.6084/m9.figshare.21356205.v1
title: Sample scRNA-seq data

description: Single cell RNA-seq subset from Lee et al.'s (https://doi.org/10.1016/j.neuron.2020.06.021) dataset
DOI: 10.6084/m9.figshare.4331036.v2
title: OpenWorm Open House Supplemental Materials

description: Presentation and supplemental materials (readings, etc) from the OpenWorm Open House, held on the internet on October 25, 2016. Materials for nine 5-minute presentations and two 45-minute workshops.
DOI: 10.17632/ch25c5r9d7
title: Decentralization challenge and features of logistics 4.0

description: The attached files show the bibliometric data used to construct the relationship between logistics 4.0 challenge (decentralization) and logistics 4.0 features.
DOI: 10.17632/z9y2fn38fp
title: Examining psychological stress through the lens of physiological signals: BIOSTRESS dataset

description: A survey was utilized to collect data on the respondents' demographics, anxiety histories, and stress levels in order to choose the individuals who would be the fittest for the study. There were two components to the survey that the participants were requested to complete for the research. The first section is comprised of personal questions, while the second section is made up of questions from the TOAD Stress Scale (34 questions). After that, the participants were given the option to take part in a stress-inducing session that lasted for 15 minutes with an expert psychologist in the field. During this time, physiological data was taken from the participants. A few weeks later, during the exams, physiological data was collected. Throughout the entirety of these sessions, the wearable sensor device known as Empatica E4 was used for the purpose of continuously collecting physiological signals.
DOI: 10.6084/m9.figshare.14865690.v1
title: Metadata record for: Global offshore wind turbine dataset

description: This dataset contains key characteristics about the data described in the Data Descriptor Global offshore wind turbine dataset. <br> Contents: <br> 1. human readable metadata summary table in CSV format 2. machine readable metadata file in JSON format
DOI: 10.6084/m9.figshare.20747467.v1
title: Long-term monitoring dataset of fish assemblages in rocky tidepools on the southern coast of Taiwan

description: Long-term data of fish assemblages collected in the rocky intertidal zone provides a valuable resource for elucidating the temporal variations in species diversity and intertidal ecosystems. We describe a long-term time-series dataset of fish collected by counting the number of anesthetized fish at sampling stations in the rocky tidepools on the southern coast of Taiwan. The species assemblages were monitored seasonally at the two stations for 16 y (2000–2008 and 2012–2018). In total, 86 samples containing 5137 individuals belonging to 82 species were recorded. Our data can be used for elucidating the temporal variations in fish assemblages and intertidal ecosystems and as background information for the resilience of the fish community conservation in coastal areas. The current study presents valuable data for researchers to understand the temporal and spatial variations in species abundance, richness, diversity, and composition in relation to climate change, environmental factors, and human activities.
DOI: 10.6084/m9.figshare.21215282.v1
title: Preterm GIS data

description: Raw data used for preterm birth modeling in Brazil, to better understand the spatial distribution of preterm occurrence.
DOI: 10.6084/m9.figshare.28736672.v3
title: Merger to privatize Nordstrom, an analysis

description: Heard of Nordstrom being privatized?!An analysis of one of the landmark deals in consumer industry. The report is focused on merger of the mega consumer retailer Nordstrom with Liverpool, a mega department store operating in Mexico that also operates brands under the Banana Republic, GAP, Pottery Barn, West Elm, and Williams-Sonoma names. The report includes detailed analysis of growth drivers of Nordstrom, forecasting methodology used to forecast revenues with merger effects, valuation of Nordstrom using valuation methodologies such as DCF valuation modeling, trading comparables multiples and precedent transactions multiples. Not much is known about the deal in public domain. The report also includes synergy analysis and valuation of synergy. The merger intends to privatize Nordstrom to seize growth opportunities in an efficient manner. While the acquisition is valued at $24.25 per share, the analysis provides insights that the acquisition price is only close to the highest 52-week price. Read on for synergies and valuations conducted playing to the strengths of these two mega companies.
DOI: 10.6084/m9.figshare.5124373.v1
title: Supplementary Material for: Two Cases of Malignant Struma Ovarii with Metastasis to Pelvic Bone

description: Histologically, malignant struma ovarii metastasizes rarely, and only a few cases reported bone metastasis. Here, we describe 2 cases of biologically malignant struma ovarii with pelvic bone metastasis. Case 1 is a 22-year-old female who was found to have a large left ovarian mass during routine prenatal ultrasound. Papillary thyroid cancer arising in struma ovarii was identified after laparoscopic salpingo-oophorectomy. After total thyroidectomy, radioactive iodine whole-body scan revealed extrathyroidal iodine uptake in left anterior pelvis. Subsequent I-131 treatment resolved the pelvic metastasis. Case 2 is a 49-year-old female who was diagnosed with malignant struma ovarii in 1996 and presented in 2007 with pelvic recurrence and extensive left hip metastasis. Treatment with resection of the pelvic tumor, total thyroidectomy, and multiple I-131 ablation led to eventual resolution of the abdominal and left hip foci. In conclusion, we present 2 rare cases of malignant struma ovarii, both with metastasis to the pelvic bone. This report makes pelvic bone the most frequent site for bone metastasis in malignant struma ovarii. It also emphasizes the importance of total thyroidectomy in allowing identification and treatment of bony metastasis with radioactive iodine.
DOI: 10.6084/m9.figshare.7127042.v1
title: Supplementary Material for: Dysregulated Network of Immune, Endocrine and Metabolic Markers is Associated to More Severe Human Chronic Chagas Cardiomyopathy

description: Individuals who are infected with <i>Trypanosoma cruzi</i> develop chronic Chagas cardiomyopathy (CCC), which is a complication involving a series of immune pathogenetic mechanisms, although an association between immune and metabolic alterations was more recently proposed. Accordingly, we investigated the immuno-metabolic response in chagasic patients and their possible influence on CCC pathogenesis. To this end, <i>T. cruzi</i>-seropositive (asymptomatic or with CCC) and sero-negative individuals were studied. Serum tumour necrosis factor (TNF)-α, interleukin (IL)-6, adipocytokines and the expression of their receptors in peripheral blood mononuclear cell (PBMC) were evaluated, together with other factors influencing the immune response. CCC patients showed major metabolic and hormonal abnormalities, in parallel with increased IL-6 and leptin serum levels. TNF-α receptor s, leptin and adiponectin receptors (ObR and Adipo-Rs respectively), as well as PPAR-γ expression in PBMCs from CCC patients were compatible with a counteracting response leading to an unfavourable immune-metabolic profile. These results suggest that persistently increased levels of immune-metabolic pro-inflammatory mediators along with the adverse endocrine anti-inflammatory response of CCC individuals, may contribute to the underlying mechanisms dealing with myocardial tissue damage.
DOI: 10.17632/jbks2rcwyj
title: Residential electric vehicle charging datasets from apartment buildings

description: The reported datasets deal with residential electric vehicle (EV) charging in apartment buildings. The datasets are described in the Data In Brief article "Residential electric vehicle charging datasets from apartment buildings" (2021, https://doi.org/10.1016/j.dib.2021.107105), and refers to the paper "Analysis of residential EV energy flexibility potential based on real-world charging reports and smart meter data" (https://doi.org/10.1016/j.enbuild.2021.110923).
DOI: 10.17632/y49x2bz9ky
title: Tape-strip profiling identifies unique immune and lipid dysregulation in patients with seborrheic dermatitis

description: Background: Seborrheic dermatitis (SD) is a common, chronic inflammatory skin disease with limited understanding of its pathophysiology. Molecular profiling has been limited by invasiveness of sampling methods.

Objective: To analyze the molecular skin profile of adult patients with SD using tape strips.

Methods: Tape-strips obtained from facial lesions of 26 adult SD patients and 18 demographically matched healthy controls were evaluated with RNA sequencing.

Results: SD molecular skin fingerprint was characterized by strong and significant upregulation of IL23/Th17 and Th22 (i.e. IL23A, IL22, PI3, LL37, S100A8, S100A12), some Th1 skewing (OASL, STAT1, CXCL9), and limited Th2 modulation. A parallel downregulation of barrier markers (CLDN1/8, FA2H, ELOVL3) was also observed.

Limitations: Limited representation of mild and severe SD patients.

Conclusion: These data deepen our understanding of SD suggesting that it has robust Th17/Th22, some Th1 skewing, and minimal Th2 activation, and associated skin barrier alterations. This provides rationale for novel immunomodulatory treatment approaches for SD patients targeting IL23/Th17 and/or Th22 pathways.
DOI: 10.6084/m9.figshare.12780455.v1
title: Data from: Density-dependent indirect effects: apparent mutualism and apparent competition coexist in a two-prey system

description: A predator consuming multiple prey species usually causes indirect effects. Apparent mutualism results when multiple prey species reduce predation risk for each other by altering a predator’s functional response. Short-term apparent competition occurs when multiple prey species increase predation risks for each other through the numerical response, i.e. increasing the predator’s birth rate, or aggregative response, i.e. attracting a higher density of predators. Our objectives in this study were to determine the aggregative response and 2-prey functional response of a predator and to examine indirect effects over a range of prey densities. We used the clam Macoma balthica and juvenile blue crabs Callinectes sapidus as prey for adult blue crabs. In laboratory experiments, we determined the single-prey functional responses of the crabs to each prey species and the 2-prey functional response. We combined the 2-prey functional response with the known blue crab aggregative response to clams to estimate field predation rates. Our model predicts that at low prey densities, clams and juvenile blue crabs exhibit apparent mutual- ism, whereas at high clam densities, this relation switches to short-term apparent competition. These unexpected results highlight the need to incorporate multiple aspects of predation at multiple scales when considering indirect effects.
DOI: 10.6084/m9.figshare.26519809.v1
title: Adaptive Comfort Simulations and Hourly Comfort Visualisations

description: Adaptive comfort simulations for two rooms using Ladybug on Rhinograsshopper visual scripting GUI
DOI: 10.6084/m9.figshare.7121099.v5
title: Higher ventricular rate during atrial fibrillation relates to increased cerebral hypoperfusion and hypertensive events

description: Raw data of simulations for the cerebral circulation in normal sinus rhythm (NSR) and atrial fibrillation (AF) conditions are available.
DOI: 10.17632/5npjvcytg8
title: Weighted Overlay Analysis

description: The weighted overlay creation workflow is composed of four processes: A – Prepare the Input Dataset (Convert any input vector datasets into raster datasets); B – Classify the Raster Dataset (Raster Reclassification); C – Create the Weighted Overlay Map
DOI: 10.17632/cwtx4z93sy
title: Samples for article "A Charged Particle-Inspired Sampling Scheme for Improved Surrogate Model Quality"

description: Samples used for the investigation of the article "A Charged Particle-Inspired Sampling Scheme for Improved Surrogate Model Quality".
DOI: 10.17632/ygrfr967nm
title: Code for "Portfolio Pumping in Mutual Fund Families"

description: The directory contains code used for the paper "Portfolio Pumping in Mutual Fund Families".
DOI: 10.25403/upresearchdata.24518803.v1
title: Alternative and augmentative communication (AAC) training programmes for educators and paraeducators

description: Data from each extraction include article of the scoping review which was extracted in terms of (a) title; (b) authors; (c) year of publication; (d) aims; (e) participants (name; number of participants); (f) research design; (g) types of alternative and augmentative communication (AAC) training programmes; (h) outcomes; (i) quality appraisal; and (j) effectiveness of training programme. A web-based tool, Rayyan™, was used during the study selection process.
DOI: 10.6084/m9.figshare.20188739.v1
title: Ensemble member simulation data

description: Saved simulation data of a passive tracer (a concentration field) that is advected-diffused by a turbulent flow in two dimensions. It is a single ensemble member (there were 50 in total). All the information to produce a time series and plots of the concentration field are saved.
DOI: 10.6084/m9.figshare.29085722.v1
title: Data_For_Catena

description: The data for the manuscript titled Climate dominates the spatial patterns of leaf C:N:P:K stoichiometry in mangrove forests across Hainan Island, China
DOI: 10.6084/m9.figshare.23587707.v2
title: Research Data_Exploring Social Media Information Seeking During the COVID-19 Pandemic to Inform Health and Science Communication_Sage Open.csv

description: This study utilized a non-experimental descriptive survey design to examine social media information-seeking behaviors during the COVID-19 outbreak, particularly during lockdown periods. The objectives were to describe perceptions of COVID-19 information on social media, explore the platforms used during lockdown, identify groups of connections on social media, and determine if platform use varied based on connected groups. To gather data on information-seeking behaviors, an online survey was administered via Qualtrics, reaching 1,048 respondents in the United States through non-probability opt-in sampling. The survey included the perceptions of the information availability scale (Woolley & Propst, 2005) and an information-seeking behavior scale (Timmers & Glas, 2010) the information availability scale (Woolley & Propst, 2005), and some researcher-adapted Likert-type scales. The results revealed that more than 70% of respondents felt overwhelmed while searching for COVID-19 information, encountered difficulties in accessing and interpreting additional information, and sometimes even avoided news about the pandemic. Among social media platforms, Facebook, Instagram, and Twitter were the most popular for obtaining COVID-19 information. Notably, Facebook emerged as the most widely used platform during lockdowns. Furthermore, respondents primarily utilized Facebook to connect with friends and family during the pandemic, and those with larger social networks tended to access social media platforms more frequently. These findings highlight the significant role of Facebook in disseminating reliable information during the COVID-19 pandemic. They also emphasize the importance of implementing strategies to help individuals navigate the overwhelming amount of information, including misinformation, present on social media platforms, particularly during times of crisis. It is worth noting that there is limited generalizability due to US-centric sample.
DOI: 10.6084/m9.figshare.29146292.v4
title: Supplementary Material for review (Revealing the co-occurrence patterns of the group emotions from social media data)

description: <b>For detailed introduction, please download the zip and read the README.docx file</b>This document is the reproducibility instruction for “<b>Revealing the co-occurrence patterns of the group emotions from social media data</b>”.This document provides a detailed explanation of how to reproduce all experimental results, figures and tables presented in the paper, and the key indicators in the abstract by using the shared datasets and source code. The aim is to ensure full reproducibility of the study.Directory Structure after Extraction or Cloning:├── code/ # Scripts for data processing and modelling├── data/ # Raw and intermediate datasets├── results/ # Output results├── README.docx # instructions├── README.md # instructions└── requirement.txt # requirement instructionsCitation for data source:<br>Liu, Z. et al. (2024). <i>Shifting sentiments: analyzing public reaction to COVID-19 containment policies in Wuhan and Shanghai through Weibo data</i>. Humanities and Social Sciences Communications, 11, 1104.<b>Notes and Recommendations:</b>Path Handling: All scripts use relative paths; no modification is necessary.Environment Check: Ensure the Python environment is correctly configured to avoid dependency issues.First-Time Use: It is recommended to run and debug each script step-by-step to better understand the logic.Code Annotations: All scripts are well-commented to facilitate review and modification.<br>
DOI: 10.6084/m9.figshare.7957652.v1
title: Replication Package for Task Description Granularity Experiment [TSE-2018-06-0206]

description: This is replication package for task description granularity experiment conducted in University of Oulu. The package includes the necessary materials for replicating the experiment. In addition, data and analysis scripts for the original experiment are included. <br><b>Experiment Materials:</b>- Experiment protocol- Programming task descriptions- Project templates for Eclipse IDE - Acceptance test suites- Data extraction and intervention protocols- Template for data extraction- Survey form for demographic information- Survey form for task and performance evaluation<br><b>Data and Analysis Files:</b>- Raw data files in CSV and R data formats- Data analysis scripts for R- Data analysis report<br>
DOI: 10.17632/g67bkbnhhg
title: Mapping single cell transcriptomes in kidney cancer

description: Tumour behaviour is intricately dependent on the oncogenic properties of cancer cells and their multi-cellular interactions. To better understand these dependencies within the wider micro-environment, we studied over 270,000 single cell transcriptomes and 100 micro-dissected whole exomes from 12 patients with kidney tumours, prior to validation through the use of spatial transcriptomics. Tissues were sampled from multiple regions of the tumour core, the tumour-normal interface, normal surrounding tissues, and peripheral blood.
DOI: 10.17632/zb9tvhbbt5
title: Data for: Singular spectrum analysis ofionospheric anomalies preceding great earthquakes: Cases of the Mw7.8 Kaikoura earthquake of 13 November 2016 and the Mw6.9 Fukushima earthquake of 21 November 2016

description: The data about our research mainly contains the GIMs (global ionosphere maps), Geomagnetic index (Dst, Kp) and Solar index (F10.7) within one month before Kaikoura and Fukushima earthquakes.
DOI: 10.6084/m9.figshare.10067999.v2
title: Garland_et_al_Nat_Food_dataset_figshare.xlsx

description: Biodiversa Digging Deeper database updated 21.06.2019
DOI: 10.6084/m9.figshare.22338238.v1
title: LBNL FDD Data Sets Boiler Plant

description: The DOE and Berkeley Lab have partnered across the national laboratory complex and with the research community to curate, validate, and publish the world’s largest set of labeled time-series data representing commercial HVAC systems operating in faulted and fault-free states. The data sets currently cover rooftop units, single-duct air handler units, dual-duct air handler units, variable air volume boxes, fan coil units, chiller plant, and boiler plant. Each data set includes from 20 to more than 100 data points that are commonly monitored in today’s buildings. This operational data is paired with ground truth information indicating which faults are present during which time periods.