cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.17632/x63cs3hfzx
title: Overview of FACS gating strategies in PolyloxExpress HSC experiment

description: Surface marker combinations used for isolation of indicated cell populations. Surface markers indicated above the first plot of each panel were used to pre-define the indicated population. Pre-gatings for size (FSC, SSC) and live cells (Sytox blue-) not shown. (A) Sort gates of erythrocyte progenitors (EryP II and EryP III) from bone marrow. (B) Sort gates for HSC (LT+ST), MPP from LSK compartment (upper right), and CMP, GMP, MEP from LK compartment (lower right) from bone marrow. (C) Sort gates for CLP in bone marrow. (D) Sort gates for proB cells (fraction (Fra) B and Fr. C) in bone marrow. (E) Sort gates of CD4+ or CD8+ T cells from spleen. (F) Sort gates of granulocytes from bone marrow. (G and H) Sort gates of conventional B (B2) cells (G), and monocytes (H) from spleen. (I) Sort gates of preT cells (DN2 and DN3) from the thymus.
DOI: 10.17632/3pmj85snvw
title: Dataset: Efficientnet-based robust recognition of peach plant diseases in field images

description: The dataset consists of field images captured from healthy and diseased peach fruits and leaves. If you use this dataset in your research, please consider citing the below article. Thank you
Farman, Haleem, Jamil Ahmad, Bilal Jan, Yasir Shahzad, Muhammad Abdullah, and Atta Ullah. "Efficientnet-based robust recognition of peach plant diseases in field images." Comput. Mater. Contin 71 (2022): 2073-2089.
DOI: 10.6084/m9.figshare.20369301.v1
title: ToL_Final_alignment.faa

description: Concatenated sequence alignment for all ribosomal genes used to generate the tree of life used in this study. See Methods for further details.
DOI: 10.17632/dzy22g86tt
title: DATASET ON ISLAMIC SCHOOL TEACHERS’ ORGANIZATIONAL COMMITMENT AS FACTORS AFFECTING JOB SATISFACTION AND JOB PERFORMANCE

description: This dataset (survey instrument) examines the effect of Organizational Commitment factors on Job Performance and Job Satisfaction at Indonesian Islamic Schools. The instrument was adapted, back-translated and validated. The data were obtained from 387 responses.
DOI: 10.6084/m9.figshare.13331072.v1
title: pdxe_sample_annotations.txt

description: Updated annotations and expression count matrices for the 2015 Novartis PDXE manuscript. Expression counts are calculated using PISCES (which in turn uses Salmon), against the Ensembl reference transcriptome.PDXE manuscript: Gao, H., Korn, J., Ferretti, S. et al. High-throughput screening using patient-derived tumor xenografts to predict clinical trial drug response. Nat Med 21, 1318–1325 (2015). https://doi.org/10.1038/nm.3954PISCES manuscript: https://www.biorxiv.org/content/10.1101/2020.12.01.390575v1Salmon: https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5600148/
DOI: 10.6084/m9.figshare.28903619.v3
title: Effect of variable initial salt concentration: Evaporation and precipitation characteristics

description: Evaporation rate and salt precipitation data: Variable initial salt concentration load
DOI: 10.6084/m9.figshare.7994216.v1
title: Danish Dinosaur Tracks

description: Dinosaur tracks discovered in Denmark. <br>Publication: Milàn, J., Falkingham, P. L., Mueller-Töwe, I. J. 20XX. Small ornithopod dinosaur tracks and crocodilian remains from the Middle Jurassic Bagå Formation, Bornholm, Denmark: Important additions to the rare Middle Jurassic vertebrate faunas of Northern Europe. © 20XX by Bulletin of the Geological Society of Denmark,
DOI: 10.17632/fkvb4ydy4d
title: Replication package for "Population aging and innovation slowdown"

description: This replication package contains all the available data, code, and instructions to reproduce the results presented in the paper:
Paper title: Population aging and innovation slowdown: Dual mechanisms of firm cost structure and consumption preference
DOI: 10.17632/3tgnsyrgbv
title: Business Life Cycle and Strategic Communication: Effects on Analysts’ Forecasts

description: Objective: this study investigates the influence of organizational life cycle stages on the relationship between corporate voluntary disclosures and the accuracy of earnings forecasts made by financial analysts. 
Theoretical approach: information asymmetry, according to agency theory, generates conflicts between managers and investors. Complementarily, signaling theory suggests that the communication of private information can help bridge this gap. Financial analysts interpret these signals, aligning expectations, mitigating conflicts, and enhancing market decisions by reducing monitoring costs. 
Methods: a total of 472 annual reports and 1,723 observations from 61 companies listed on the B3 stock exchange (2010–2020) were analyzed using a checklist, descriptive statistics, group comparison tests, and Logit and OLS regressions. 
Results: the findings indicate that voluntary disclosure affects the accuracy of analysts' forecasts in distinct ways. The disclosure of strategic and performance information increases informational complexity, particularly during periods of growth and turbulence, reflecting challenges in aligning stakeholder interests. Conversely, voluntary disclosures related to social responsibility and sustainability facilitate understanding of the company's conditions, aiding analysts in contexts of greater uncertainty, such as during turbulence and decline stages of the organizational life cycle. 
Conclusion: the organizational life cycle moderates the relationship between voluntary disclosure and the quality of analysts' forecasts, underscoring the importance of managers tailoring their disclosure strategies to meet the informational demands of each stage, reducing uncertainties, and promoting better alignment with market interests.
DOI: 10.17632/9pzzmhv7gp
title: Crops Recommendation AI-GeoInfo Framework Datasets

description: Research datasets about Crops Recommendation AI-GeoInfo Framework Datasets and the use of Supervised Machine Learning Algorithms and GeoAPI Module
DOI: 10.6084/m9.figshare.4654240
title: Data from: Increased resource availability prevents the disruption of key ecological interactions in disturbed habitats

description: Original dataset from Fonturbel et al. (2017) Increased resource availability prevents the disruption of key ecological interactions in disturbed habitats. Ecosphere.
DOI: 10.25378/janelia.26506555.v1
title: Refined, automatic nuclei segmentations in near-isotropic, reconstructed volume electron microscopy (FIB-SEM) of isolated murine pancreatic islets (jrc_mus-pancreas-2)

description: <br><b>Segmentation description</b>: Nuclei segmentations in jrc_mus-pancreas-2 using Cellpose 3.0.9 with cursory manual corrections.<b>Software</b>: Cellpose 3.0.9<b>Software DOI</b>: https://doi.org/10.1038/s41592-022-01663-4<b>Prediction Duration (seconds)</b>: 498.82<b>GPU</b>: NVIDIA TITAN RTX<b>RAM</b>: 251.0 GiB<b>Label voxel size (nm)</b>: 128 x 128 x 128 (x, y, z)<b>Reconstructed data dimensions (µm)</b>: 20 x 20 x 30 (X, Y, Z)<b>Classes annotated</b>: Nucleus<b>Source dataset (EM) ID</b>: jrc_mus-pancreas-2<b>Source dataset (EM) voxel size (nm)</b>: 4.0 x 4.0 x 4.0 (X, Y, Z)<b>Source dataset (EM) data dimensions (µm)</b>: 20 x 20 x 30 (X, Y, Z)<b>Source dataset (EM) DOI</b>: https://doi.org/10.25378/janelia.19196540<b>Dataset URL</b>: s3://janelia-cosem-datasets/jrc_mus-pancreas-2/jrc_mus-pancreas-2.zarr/recon-1/labels/inference/segmentations/nuc/<b>Visualization website</b>: https://openorganelle.janelia.org/datasets/jrc_mus-pancreas-2
DOI: 10.17632/4tw6y45y6r
title: LC-MS/MS raw data

description: Raw data of lipidome from 6-week leaves and metabolites from 6-week leaves or purified chloroplasts acquired with the protocol supplied with the method involved in this study. Data files contain both full technical replicates for evaluation of the protocol performance, and LC-MS/MS replicates for evaluating the performance of the LC-MS/MS platform and acquisition strategy. In these data files, “Sample01-05” represents the five repeats of wild-type, “Sample06-10” represents the five repeats of OE13, “Sample11-15” represents the five repeats of OE14, “Sample16-20” represents the five repeats of OE22, “Sample21-25” represents the five repeats of OE23, “Sample26-30” represents the five repeats of M55, and “Sample31-35” represents the five repeats of M56.
DOI: 10.17632/2sw758pw38
title: Dataset on Bulk Milk Tank Performance

description: This dataset includes comprehensive data on milk storage conditions and milk quality collected from a dairy farm located in Talavera de la Reina, Spain, during the period from August 3, 2024, to October 15, 2024. The data were collected through a combination of on-farm sensors installed in the milk storage tank and laboratory analyses performed at the LILCAM laboratory (Laboratorio Interprofesional Lácteo de Castilla-La Mancha).

The dataset consists of:
- Storage Tank Data: Continuous measurements of temperature and agitation recorded by IoT sensors installed inside the milk storage tank. The sensors monitored the tank 24/7, capturing detailed data on temperature variations and the mechanical agitation process.
- Meteorological Data: Daily weather data, including temperature and humidity, recorded at the farm location. These data were obtained from the AEMET (Agencia Estatal de Meteorología) station nearest to the farm, allowing an assessment of the influence of environmental factors on the milk storage process.
- Laboratory Quality Data: Comprehensive milk quality analyses, including parameters such as fat content, bacteriology (cfu/ml), somatic cell count (SCC), urea concentration, and other key indicators of milk quality.

The data are stored in CSV format, with separate files for each data type.
DOI: 10.6084/m9.figshare.25556931.v1
title: <b>Data for: Associations between mental health disorders and nutritional indicators with self-reported sexually transmitted infections amongst emerging adults in a tertiary education institution in Coastal Kenya</b>

description: <b><i>Background</i></b>: Globally, absolute incidence cases of sexually transmitted infections (STIs) are on an increase with emerging adults, especially from Sub-Saharan African (sSA) settings, being disproportionately affected. Mental health disorders and abnormal nutritional indicators are also prevalent among emerging adults in sSA but their associations with STI has not been determined. We aimed to elucidate associations between mental health and nutritional indicators with self-reported STIs among emerging adults in Coastal Kenya.<b><i>Methods</i></b><b>:</b> A longitudinal study design was used. Emerging adults (18.0-24.9 years old) attending a tertiary education institution were recruited and followed up three-monthly for 12 months. At enrolment, volunteers were screened for mental health disorders (depression, generalized anxiety disorder (GAD), and alcohol and substance abuse), and abnormal nutritional indicators (disordered eating behavior, body mass index [BMI] and waist-hip ratio WHR]). At enrolment and during all follow up visits, STIs were determined as volunteers reporting at least one of 10 common STI symptoms. Sexual behavior (SB), defined as a composite variable from seven indicators using latent class analysis, was considered an <i>a-priori</i> effect modifier. Associations between mental health and nutritional indicators with prevalence (at enrolment) and incidence (during follow up) STIs were determined using Logistic and Cox proportional hazard models, respectively.<b><i>Results</i></b>: Of 572 volunteers, 97 (16.9% [95% CI: 13.9–20.2]) reported an STI at enrolment. GAD (adjusted odds ratio, aOR [95% CI], p-value: 2.7 [1.4–5.2], 0.002]) and alcohol binge drinking (aOR [95% CI], p value]: 2.6 [1.4–4.7], 0.001]) were independently associated with self-reported STIs at enrolment. Nutritional indicators were not associated with self-reported STIs at enrolment. Of 475 volunteers without an STI at enrolment, 60 reported an STI during follow up across 1865.1 person months observations (incidence rate, 3.2/100 [95% CI: 2.4–4.1] pmo). Baseline mental health disorders and abnormal nutritional indicators did not predict incidence of self-reported STIs.<b><i>Conclusion</i></b>: The high burden of self-reported STIs suggest a need for targeted interventions among emerging adults in institutions of tertiary education. Integration of support systems for GAD and alcohol binge drinking among emerging adults reporting an STI are also warranted at STI clinics in Kenya.
DOI: 10.6084/m9.figshare.3409927.v3
title: Data used to develop #Polar scores

description: We present a new approach to measuring political polarization, including a novel algorithm and open source Python code, which leverages Twitter content to produce measures of polarization for both users and hashtags. #Polar scores provide advantages over existing measures because they (1) can be calculated throughout the legislative cycle, (2) allow for easy differentiation between users with similar scores, (3) are chamber-agnostic, and (4) are a generic approach that can be applied beyond the U.S. Congress. #Polar scores leverage available information such as party labels, word frequency, and hashtags to create an accessible, straightforward algorithm for estimating polarity using text. (from the paper: Hemphill, L., Culotta, A., and Heston, M. (forthcoming) #Polar Scores: Measuring partisanship using social media content. <i>Journal of Information Technology & Politics</i>.)<br>The dataset contains one plain text TSV file with the following information for each of the 55,244 tweets used to develop #Polar scores : tweet_id, created_at, user_id, screen_name, tag, shortid, sex, party, state, chamber, name. The file contains one row per hashtag, and therefore tweets may appear more than once. The Python code for calculating #Polar scores is available here: http://doi.org/10.5281/zenodo.53888
DOI: 10.6084/m9.figshare.639181.v2
title: EMDR open trial data set, Spence et al. 2013

description: Raw data (SPSS data set) from the internet-delivered eye movement desensitization and reprocessing (iEMDR) trial.
DOI: 10.6084/m9.figshare.25112717.v1
title: Simulation models

description: The 3D model for simulating the polarization-dependent metasurfaces.
DOI: 10.6084/m9.figshare.25260190.v1
title: LeCadre et al PeerJ_R.zip

description: barcoding gap analyses of soil-living microarthropods (Collembola, Oribatida)
DOI: 10.6084/m9.figshare.29105297.v1
title: SOC in tidal wetland

description: Tidal marshes serve as critical carbon (C) sinks, yet face increasing threats from global environmental changes.
DOI: 10.6084/m9.figshare.13483599.v2
title: Dataset: Unsupervised IMU-based evaluation of at-home exercise programmes with different types of instructions.

description: <b>Background: </b>The benefits to be obtained from home-based physical therapy programmes are dependant on the proper execution of physiotherapy exercises during unsupervised treatment. Different types of instructions, such as videotaped demonstrations and brochures, may influence patient performance at home. <b>Methods: </b>A total of thirty healthy volunteers (mean age of 31 years) had their movements captured using wearable inertial sensors, after video recordings of five different exercises with varying levels of complexity were demonstrated to them. Participants were then randomised to receive videotaped, written or illustrated instructions, along with wearable sensors to enable a second unsupervised data capture at home. Movement consistency between the participants’ recordings was assessed with metrics of movement smoothness, intensity, consistency and control. <b>Results: </b>Irrespective of group allocation, subjects executed all the exercises consistently when recording at home and as compared with their performance in the lab. However, all the considered modes of instruction were ineffective in setting the pace of movement, as participants executed all movements faster compared to the demonstrated video footages. <b>Conclusion: </b>Since patient performance is unaffected by the type of the prescribed instructions, healthcare professionals may recommend instructive material based on patient preference in order to improve satisfaction levels. A wearable system with real-time performance metrics and feedback would better aid in therapeutic exercises that ought to be performed with appropriate speed, intensity, smoothness and range of motion.<br>
DOI: 10.6084/m9.figshare.1565651.v1
title: Mammals Dataset

description: Data used in the book "Data Science and Analytics with Python" by J Rogel-Salazar. A dataset with average brain and body weights for 62 species of land mammals.Fields:body: body weight in kg.brain: brain weight in g.name: Common name of species.SourceWeisberg, S. (1985) Applied Linear Regression. 2nd edition. Wiley, pp. 144–5.Selected from: Allison, T. and Cicchetti, D. V. (1976) Sleep in mammals: ecological and constitutional correlates. Science 194, 732–734.ReferencesVenables, W. N. and Ripley, B. D. (1999) Modern Applied Statistics with S-PLUS. Third Edition. Springer.
DOI: 10.6084/m9.figshare.19442933.v1
title: Dataset on bitcoin carbon footprint and energy consumption

description: The daily frequency data on minimum, maximum, and optimal bitcoin annualized energy consumption from July 7, 2010 to December 4, 2021.
DOI: 10.6084/m9.figshare.3564030.v1
title: Appendix A. A table showing taxa recorded and included in summary connectance web, with literature documenting feeding links.

description: A table showing taxa recorded and included in summary connectance web, with literature documenting feeding links.
DOI: 10.17632/dc832g7j5m
title: Swin UNETR segmentation with automated geometry filtering for biomechanical modeling of knee joint cartilage

description: Our study aimed to enhance subject-specific knee joint FE modeling by incorporating an automated knee cartilage segmentation algorithm. This segmentation was a 3D Swin UNETR for an initial segmentation of the femoral and tibial cartilages, followed by an automated filtering to improve surface roughness and continuity. Five hundred and seven magnetic resonance images (MRIs) from the Osteoarthritis Initiative (OAI) database were used to build and validate the segmentation model. The masks for cartilages were performed by skilled users from the Zuse Institute Berlin "F. Ambellan, A. Tack, M. Ehlke, and S. Zachow, “Automated segmentation of knee bone and cartilage combining statistical shape knowledge and convolutional neural networks: Data from the Osteoarthritis Initiative,” Med Image Anal, vol. 52, pp. 109–118, 2019."
The Swin UNETR models and codes, and the filtering codes have been made publicly available, so researchers can use these models or customize the code for a different dataset to meet their needs. Please refer to our GitHub for any update https://github.com/Rezakaka/knee-segmentation.git
DOI: 10.17632/xx7znfc8xv
title: The CRONUScalc input file for the first cosmogenic 36Cl exposure ages for glacial features on sub-Antarctic Marion Island

description: This dataset provides the input file for calculating 36Cl exposure ages using the CRONUScalcv2.0 website calculator (http://cronus.cosmogenicnuclides.rocks/2.0/html/cl/ ; Marrero et al., 2016) for glacial features on the east coast of Marion Island. Isotope ratios were determined with the 5MV AMS at SUERC. Further method procedures and data attributes are discussed in the associated paper, Rudolph et al. (2020).
DOI: 10.6084/m9.figshare.24981042.v1
title: 数据_副本.xlsx

description: 血清抗磷脂酰丝氨酸-凝血酶原复合物（aPS/PT）、抗突变瓜氨酸波形蛋白（anti-MCV）和α-fodrin（α-fodrin）抗体的表达α，并探讨其与URSA的关系。还研究了羟氯喹在抗体表达阳性患者中应用的有效性。
DOI: 10.6084/m9.figshare.5936656.v1
title: HYOID OpenSim Model Files

description: Files for HYOID model
DOI: 10.17632/r8ycfgrpmz
title: PhenoSelect Phenotyping Raw data

description: Data and Code for PhenoSelect Algae Phenotyping

This repository contains raw phenotyping data, along with Python code for calculating phenome size and performing statistical comparisons via bootstrapping. The data were collected using the PhenoSelect system under 96 experimental conditions for five algal species:

Chlorella sorokiniana (CS-903)
Haematococcus pluvialis (CS-1030)
Halospirulina tapeticola (CS-785/02)
Nannochloropsis australis (CS-416)

Phaeodactylum tricornutum (CS-786)

Contents

Raw Data: Daily measurements of photosynthetic efficiency (Fv/Fm), growth rate, and cell size (or biovolume).

Phenome Size Scripts: Python code demonstrating how to calculate the three-dimensional convex hull volumes for each species, along with a 10,000-iteration bootstrap to estimate uncertainty.

Data Files (RAW / NORMALIZED): Trait values in their original measurement scales (RAW) and normalized to each trait’s minimum and maximum (NORMALIZED) for cross-species comparisons.

Users can refer to the included Jupyter notebooks for running the analyses and reproducing the phenome size calculations reported in the associated manuscript.
DOI: 10.17632/w5pn2t97bx
title: Data of Prevalence of Healthcare-Associated Infections in Ukraine During the 2009–2022 Period

description: Data on the prevalence of Healthcare-associated infections (HAIs) in Ukraine during 2009-2022. Official statistical data of the Ministry of Health of Ukraine, provided for scientific purposes.
DOI: 10.6084/m9.figshare.28348304.v1
title: Immune response in aged mice infected with SARS-CoV-2

description: This code enables the projection of Unveiling the Biological Mechanisms of Severe COVID-19 in the Elderly: Insights from an Aged Mouse Model
DOI: 10.17632/g3tbnysh5p
title: Patterns of Recurrence and Prognosis in Pathologic Stage I and II Merkel Cell Carcinoma: A multi-center, retrospective cohort analysis

description: Table 1. Baseline patient, tumor, and treatment characteristics of all patients with surgically
resected pathologic stage I and II Merkel cell carcinoma. IQR, interquartile range; AJCC,
American Joint Committee on Cancer. * indicates significance

Table 2: Univariate and reduction multivariable Cox proportional hazard regression analysis
examining factors associated with all-site recurrence in patients with pathologic stage I-II Merkel
cell carcinoma. AJCC, American Joint Committee on Cancer; TILs, tumor infiltrating
lymphocytes; HR, hazard ratio; CI, confidence interval. * indicates significance
DOI: 10.17632/h5gpfm4nf5
title: Data and Code for "Fed Information Effects: Evidence from the Equity Term Structure"

description: This folder contains data and code from the replication package of the paper "Fed Information Effects: Evidence from the Equity Term Structure'' by Benjamin Golez and Ben Matthies.
DOI: 10.17632/ptxpzt876r
title: Data for: Prediction of Constant Power Delivery of Lithium-Ion Cells at High Loads

description: Available energy and available charge are key factors for dimensioning batteries. Discharge duration of a battery and its dependency on discharge current amplitude are well described by Peukert’s law from low to medium current ranges. Other equations describe this dependency up to very high current rates, including the currents occurring during a short circuit. It is not charge and capacity, but energy and power which are the key parameters for dimensioning battery systems. Thus, the available power of battery cells, vs. the discharge duration was investigated from low to high constant power discharge loads. Based on the results of these experiments, a correlation of the maximum discharge duration for low to medium discharge power pulses, similar to the Peukert’s equation was found. Additionally, a new equation is proposed, describing the power range from low to very high discharge power rates. The result of this work simplifies the design of battery systems, its electromechanical components, as well as improves the prediction of available boost power e.g. for hybrid electric vehicles