cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.17632/dy6gtvt4mk
title: SmartEars: A Practical Framework for Poultry Respiratory Monitoring via Spectrogram-Based Audio Classification and AI-Assisted Labeling

description: Sound datasets from real farming environments are scarce, prompting us to release a portion of 5-second data segments with labels after multiple rounds of data cleaning. We have disclosed 2,000 segments for each of the three categories (Healthy, Sick, None - no chicken sound), totaling 6,000 five-second audio clips. We make this dataset publicly available, to contribute to the advancements in research related to the detection of respiratory diseases based on poultry vocalizations.

In large-scale poultry farming, respiratory diseases affect the health of chickens, leading to a decline in the quality and yield of both meat and eggs. Effective monitoring of these diseases is crucial to reducing their impact and enhancing the quality and yield. Currently, most monitoring methods still rely on manually monitoring chicken vocalizations, which are time-consuming, labor-intensive, and require specialized personnel, making 24/7 monitoring unfeasible. Existing intelligent methods are often limited to laboratory environments where individual chickens are monitored separately. These approaches do not meet the industrial and commercial requirements of poultry farms, where a diverse set of complex auditory signals may be captured. These signals include not only chicken vocalizations but also complex noises from cages, chicken behaviors, human activities, mechanical ventilation systems, and other backgrounds noises. In this study, we design a deep learning-based intelligent recognition algorithm capable of accurately distinguishing abnormal chicken vocalizations among complex sound signals. Furthermore, we integrate this algorithm into a distributed health monitoring system - SmartEars, enabling continuous collection of various sound signals and performing real-time recognitions, thereby providing round-the-clock monitoring of the respiratory diseases of chickens in real production environments. We collected 11,686 audio slices from actual farming environments, which were labeled through multiple rounds of annotations by veterinary experts, resulting in a high-quality dataset for model training. Additionally, we used Logfbank to capture critical audio features to assist model learning. We also designed five data augmentation techniques to prevent overfitting and improve model performance. Finally, we compared multiple models on an independent test dataset and selected RegNet as the best model, which achieved the highest accuracy of 96.03%. To validate the effectiveness of our approach, we compared the annotation results of SmartEars with seven veterinarians over the same dataset. The results demonstrated that SmartEars with an accuracy of 93% outperformed human veterinary experts with accuracy from 85% to 93%. SmartEars has been deployed in 3 large poultry farms located in Hebei, China, and it has successfully identified a number of outbursts of chicken diseases, such as a confirmed event around March 19, 2024, demonstrating the effectiveness of SmartEars.
DOI: 10.17632/n4mxgskw9y
title: Supplemental Figures (S1 and S2)

description: This file contains the distribution of the 8 most prevalent NASM species isolated from clinical mastitis of 410 dairy herds according to the seasonality and year (Supplemental Figure S1); and the autocorrelation plots for the NASM species with more than 100 total counts. The dashed blue lines indicate the autocorrelation values for white noise series (null hypothesis of absence of autocorrelation) (Supplemental Figure S2)
DOI: 10.17632/yp3txzw64c
title: Cell atlas of the regenerating human liver after portal vein embolization

description: Processed single-cell and single-nucleus RNA-seq data for "Cell atlas of the regenerating human liver after portal vein embolization". Original in https://www.biorxiv.org/content/10.1101/2021.06.03.444016v1. Data is deposited as RDS files, RData, and a csv file. The RDS/RData contain Seurat v3 objects. Full list of author contributions can be found in the associated manuscript. Brief description of data files: - allcells_css_annot.rds - Seurat containing all cells (scRNA-seq), along with various annotations (see figs 2 and 5 in the associated manuscript). - hep_zonation_metadata.csv - Table in csv format containing inferred zonation values for hepatocytes. Can be combined with hepatocytes from the previous file. - endothelial_cells_annot.rds - Seurat containing only the endothelial cells, and including more annotation of those populations (see fig 4 in the associated manuscript). - frozen_tissue_dataset.rdata - Seurat containing all nuclei (snRNA-seq) and corresponding annotations (see fig 1 of the associated manuscript)
DOI: 10.6084/m9.figshare.16545852.v1
title: Dataset: Energetic Lifestyle Drives Size and Shape of Avian Erythrocytes

description: The dataset for: Energetic Lifestyle Drives Size and Shape of Avian Erythrocytes.<b></b>
DOI: 10.6084/m9.figshare.19593409.v2
title: Historical, generalized built-up areas in U.S. core-based statistical areas 1900 - 2015

description: An ESRI Shapfile containing spatially generalized built-up areas for each decade from 1900 to 2010, and for 2015, for each core-based statistical area (CBSA, i.e., metropolitan and micropolitan statistical area) in the conterminous United States. These areas are derived from historical settlement layers from the Historical settlement data compilation for the U.S. (HISDAC-US, Leyk & Uhl 2018). See Burghardt et al. (2022) for details on the data processing. <br> Additionally, there is a CSV file (HISDAC-US_patch_statistics.csv) containing the counts of built-up property records (BUPR), and -locations (BUPL), as well as total building indoor area (BUI) and built-up area (BUA) per CBSA, year, and patch, extraced from the HISDAC-US data (Uhl & Leyk 2018, Uhl et al. 2021). This CSV can be joined to the shapefile (column uid2) by concatenating the columns msaid_year_Id. <br> Spatial coverage: all CBSAs that are covered by the HISDAC-US historical settlement layers. This dataset includes around 2,700 U.S. counties. In the remaining counties, construction year coverage in the underlying ZTRAX data (Zillow Transaction and Assessment Dataset) is low. See Uhl et al. (2021) for details. All data created by Johannes H. Uhl, University of Colorado Boulder, USA. Code available at https://github.com/johannesuhl/USRoadNetworkEvolution. References: Burghardt, K., Uhl, J., Lerman, K., & Leyk, S. (2022). Road Network Evolution in the Urban and Rural United States Since 1900. Computers, Environment and Urban Systems. Leyk, S., & Uhl, J. H. (2018). HISDAC-US, historical settlement data compilation for the conterminous United States over 200 years. <em>Scientific data</em>, <em>5</em>(1), 1-14. DOI: https://doi.org/10.1038/sdata.2018.175 Uhl, J. H., Leyk, S., McShane, C. M., Braswell, A. E., Connor, D. S., & Balk, D. (2021). Fine-grained, spatiotemporal datasets measuring 200 years of land development in the United States. <em>Earth system science data</em>, <em>13</em>(1), 119-153. DOI: https://doi.org/10.5194/essd-13-119-2021
DOI: 10.6084/m9.figshare.23617506.v3
title: Analysis of winter diet in Guizhou golden monkey (<i>Rhinopithecus brelichi</i>) from DNA metabarcoding data<i>--</i>Species abundance information and Hill number

description: Analysis of winter diet in Guizhou golden monkey (<i>Rhinopithecus brelichi</i>) from DNA metabarcoding data<i>--</i>Species abundance information and Hill number
DOI: 10.6084/m9.figshare.6962948.v1
title: Whipple Data Deidentified.xlsx

description: Single institution data about implementing a clinical care pathway for post-operative care after pancreaticoduodenectomy
DOI: 10.17632/2hp96k6m2c
title: Datasets for “Quantitative prediction of the landscape of T cell epitope immunogenicity in sequence space” by Ogishi and Yotsuyanagi

description: FeatureDF is a feature dataframe in the fst format which can be imported by using the fst package in R. MinimumFeatureSet is a list containing the minimum set of predictive features and the importance estimates. NeighborNetwork is a list contianing undirected and directed neighbor networks.
DOI: 10.17632/pfxd9j49xg
title: A Dataset on Body Composition, Strength and Performance in Older Adults, Created from Rancho Bernardo Study

description: These data originated from Rancho Bernardo Study, a longitudinal observational cohort study. The study enrolled subjects between 1972 and 1974. A subset of the subjects returned every four years for subsequent visits. This dataset consists of raw measurements of body composition, strength and performance from Visits 7-10, as well as some secondary measurements computed from the raw measurements.
DOI: 10.6084/m9.figshare.25111964.v1
title: Indicators by country_2021

description: The file includes values for three indicators across 217 countries: the indicators Policy Perception Index (PPI), the Enabling Trade Index (ETI), and the Worldwide Governance Index (WGI).
DOI: 10.6084/m9.figshare.7466498.v1
title: Supplementary R Code from A range-wide domino effect and resetting of the annual cycle in a migratory songbird

description: Latitudinal differences in timing of breeding are well documented but how such differences carry over to influence timing of events in the annual cycle of migratory birds is not well understood. We examined geographical variation in timing of events throughout the year using light-level geolocator tracking data from 133 migratory tree swallows (<i>Tachycineta bicolor</i>) originating from 12 North American breeding populations. A swallow's breeding latitude influenced timing of breeding, which then carried over to affect breeding ground departure. This resulted in subsequent effects on the arrival and departure schedules at fall stopover locations and timing of arrival at non-breeding locations. This ‘domino effect’ between timing events was no longer apparent by the time individuals departed for spring migration. Our range-wide analysis demonstrates the lasting impact breeding latitude can have on migration schedules but also highlights how such timing relationships can reset when individuals reside at non-breeding sites for extended periods of time.
DOI: 10.15482/usda.adc/1524749
title: Manual annotations of Rhyzopertha dominica genome assembly RdoDt3_Drdd8_decomES
DOI: 10.6084/m9.figshare.24762813.v1
title: data_wang et al..xlsx

description: The data file is about the effects of N addition on the dynamics of several macro- and micronutrients in soil and three dominant plants in a meadow steppe. The N addition dose inculdes 0, 2, 5, 10, 20, 50 g N m-2 yr-1. T.l represents <i>Thermopsis lanceolate</i>, L.c represents <i>Leymus chinensis</i> and C.d indicates <i>Carex duriuscula</i>. All the soil properties are measured based on the depth of 0-10cm.
DOI: 10.6084/m9.figshare.8018555.v1
title: Illinois Hospital Financial Data

description: Public dataset on the finances related to Illinois hospitals and types of reimbursement. Lists 213 hospitals, the cities and counties. Payment types and amounts are listed.
DOI: 10.17632/dr853shk56
title: Facial Expressions Elicit Multiplexed Perceptions of Emotion Categories and Dimensions

description: Behavior results of valence and arousal rating and emotion categorisations

Order of the code is 
1. PMI_modelling_exp1
2. VAspace
3. mapping_and_line_fitting
4.CMI_analysis
5.PMI_exp2
DOI: 10.6084/m9.figshare.14518056.v4
title: Single-cell DNA and RNA sequencing reveals the dynamics of intra-tumor heterogeneity in a colorectal cancer model

description: Background: Intra-tumor heterogeneity (ITH) encompasses cellular differences intumors and is related to clinical outcomes such as drug resistance. However, little isknown about the dynamics of ITH, owing to the lack of time-series analysis at thesingle-cell level.Results: We performed single-cell exome and transcriptome sequencing of 200 cellsand investigated how ITH is generated from one single cell in a mouse colorectalcancer model. The ITH of the transcriptome increased after transplantation fromcultured organoids, while that of the exome decreased. Mutations generated in theculture did not greatly change at the transplantation at the bulk-cell level. The RNA ITHincrease was due to the emergence of new transcriptional subpopulations. In contrastto the initial cells expressing mesenchymal-marker genes, new subpopulationsrepressed these genes at transplantation. Analyses of colorectal cancer data from TheCancer Genome Atlas revealed a high proportion of metastatic cases in humansubjects with expression patterns similar to the new cell subpopulations in mouse.These results suggest that the birth of transcriptional subpopulations may be a key foradaptation to drastic micro-environmental changes when cancer cells have sufficientgenetic alterations at later tumor stages.Conclusions: This study revealed an evolutionary dynamics of single-cell RNA andDNA heterogeneity in tumor progression, giving insights into the mesenchymal-epithelial transformation of tumor cells at metastasis in colorectal cancer.
DOI: 10.6084/m9.figshare.19644786.v3
title: FICB影响

description: FICB对于脊髓麻醉下老年患者的影响
DOI: 10.6084/m9.figshare.24562765.v1
title: Synthetic augmentation of cancer cell line multi-omic datasets using unsupervised deep learning: Augmented Datasets

description: Cancer cell line datasets reconstructed by MOSA.
DOI: 10.6084/m9.figshare.25047692.v6
title: Altmetric500

description: The Altmetric release of the top 500 research outputs of 2023. We broke publications down by field of research, using the ANSRC 2020 Fields of Research (FoRs); the United Nations Sustainable Development Goals (SDGs); and exclusively regional collaboration. These are the research output (articles and books) with the most attention from news media and blogs, social media, policy documents, YouTube, Wikipedia, and patent applications, as well as research output that was not only highly mentioned overall, but had broad attention across multiple areas of attention: policy sources, social media, and scientific citations alike. The code used to generate the dataset from the Digital Science BigQuery datasets is attached as a text file.Updated to fix data formatting issues.
DOI: 10.17632/7zwbz8gdr9
title: Kuler achar

description: *Project Title:* Good and Bad Classification of Kuler Achar Using OnePlus Nord CE 2 Lite 5G Mobile Camera

*Description:*

The project "Good and Bad Classification of Kuler Achar" is focused on developing a system for automatically classifying kuler achar (Indian jujube pickle) into "good" and "bad" categories based on visual characteristics. The dataset includes over 500 images of kuler achar, equally divided between good and bad samples. These images were captured using the OnePlus Nord CE 2 Lite 5G mobile camera, ensuring high-quality visual data for training a machine learning model. The images were taken against a white background in daylight conditions to ensure consistency, clarity, and minimal environmental interference.

*Dataset Composition:*

- *Good Samples (High-Quality Kuler Achar):* The dataset contains more than 250 images of high-quality kuler achar. These samples exhibit desirable characteristics, such as consistent texture, proper fermentation, vibrant color, and no visible signs of contamination or spoilage. These images represent the positive class for the classification model, showcasing what is considered high-quality and safe kuler achar.
 
- *Bad Samples (Low-Quality Kuler Achar):* More than 250 images depict low-quality or spoiled kuler achar. These samples may exhibit visual signs of spoilage, such as mold growth, discoloration, uneven texture, or over-fermentation. These images form the negative class for model training, helping to identify unwanted and unsafe products.

*Data Collection Setup:*

All images were captured using the OnePlus Nord CE 2 Lite 5G mobile camera, which provides high-resolution imaging capabilities to capture fine details. A white background was chosen to create a neutral, non-distracting environment that highlights the key features of the kuler achar. Daylight conditions were used for consistent and natural lighting, allowing the camera to capture the true color, texture, and visual quality of the samples.

*Image Characteristics:*

The dataset features a wide range of kuler achar samples, varying in appearance due to different stages of fermentation, levels of spoilage, and types of ingredients. This diversity ensures that the classification model can generalize across different variations in the appearance of kuler achar, allowing it to effectively distinguish between good and bad samples.

*Data Annotation:*

Each image in the dataset is carefully labeled as either "good" or "bad" based on its quality. These annotations serve as the ground truth for the machine learning model, providing the necessary data for training, validating, and testing the classifier.

*Data Preprocessing:*

To ensure the model receives optimal input data, several preprocessing steps are applied:
- *Resizing:* All images are resized to a uniform resolution to maintain consistency across the dataset.
DOI: 10.25452/figshare.plus.25880521.v1
title: DepMap 24Q2 Public

description: This DepMap Release contains new cell models and data from Whole Genome/Exome Sequencing (Copy Number and Mutation), RNA Sequencing (Expression and Fusions), Genome-wide CRISPR knockout screens. Also included are updated metadata and mapping files for information about cell models and data relationships, respectively. Each release may contain improvements to our pipelines that generate this data so you may notice changes from the last release.For more information, please see README.txt.
DOI: 10.6084/m9.figshare.12792455.v1
title: BIOL3250_bioblitz_datasheet

description: A sample datasheet for supporting a bioblitz that uses iNaturalist. <br><b>Attributes</b>rep is the replicate or unique animal observed.<br>date is calendar data in d/m/y. <br>time is time of day in 24hour clock format. <br>researcher is the initials of observer. <br>location is the general name of space such as name of the park or neighbhourhood that backyard is in and the city. <br>habitat is an ecological description of where the animal was observed within the sampling area such as on the ground, in a tree, on a bush, flying through etc.<br>taxa is simply vertebrate or invertebrate.<br>species is the common name of the animal.<br><br>
DOI: 10.6084/m9.figshare.26264681.v1
title: Data for functional traits and ecological niches as correlates of the interspecific growth-mortality trade-off among seedlings of 14 tropical tree species

description: The census_data consists of seedling records from the years 2010, 2013, and 2015 for 14 species. These records include species names, tags, heights for each species in these three years, and the status of the seedlings in 2013 and 2015 (A for alive, D for dead). Additionally, the trait_data and niche_data contain information on fifteen functional traits and fifteen ecological niches for each species, respectively.
DOI: 10.6084/m9.figshare.6878552.v2
title: 火星救援

description: 火星救援豆瓣评论数据
DOI: 10.6084/m9.figshare.7925081.v1
title: gVCF_HG03750

description: 1000 Genomes gVCF mapped to hs37d5 for HG03750. Complete collection: https://doi.org/10.6084/m9.figshare.c.4414307
DOI: 10.17632/bbr52fxd3t
title: Replication Data for: Multidimensional Scale Development and Validation: University Service Quality (UNIQUAL)

description: This dataset includes replication data for the paper "Sann, R., Lai, P.-C., Liaw, S.-Y. and Chen, C.-T. (2023), "Multidimensional scale development and validation: university service quality (UNIQUAL)", Journal of Hospitality and Tourism Insights, Vol. ahead-of-print No. ahead-of-print. https://doi.org/10.1108/JHTI-08-2022-0343".
DOI: 10.6084/m9.figshare.11559369.v2
title: SCES-2023-Zhang et al.

description: This is the source data for figure derived from published paper submitted to SCES by Zhang et al. 2023;if you have any question, please contact Feng Tian (tianfeng777@hotmail.com)<br>
DOI: 10.6084/m9.figshare.5100184.v1
title: Supplementary Material for: The Visible Ear: A Digital Image Library of the Temporal Bone

description: High-fidelity computer-based modeling, simulation and visualization systems for the study of temporal bone anatomy and training for middle ear surgery are based on a sequence of digital anatomical images, which must cover a large tissue volume and yet display details in high resolution and with high fidelity. However, the use of existing image libraries by independent developers of virtual models of the ear is limited by copyright protection and low image resolution. A fresh frozen human temporal bone was CT-scanned and serially sectioned at 25 µm and digital images of the block surface were recorded at 50- to 100-µm increments with a Light Phase<sup>TM</sup> single-shot camera back attachment. A total of 605 images were recorded in 24-bit RGB resolution. After color correction and elimination of image size variation by differential cropping to 15.4 cm × 9.7 cm, all images were resampled to 3,078 × 1,942 pixels at a final resolution of 50 µm/pixel and stored as 605 one-Mb JPEG files together with a three-dimensional viewer. The resulting complete set of image data provides: (1) a source material suitable for generating computer models of the human ear; (2) a resource of high-quality digital images of anatomical cross sections from the human ear, and (3) a PC-based viewer of the temporal bone in three perpendicular planes of section.
DOI: 10.6084/m9.figshare.7195448.v1
title: Supplementary Material for: Moisturizers versus Current and Next-Generation Barrier Repair Therapy for the Management of Atopic Dermatitis

description: We compare here the principal characteristics of over-the-counter moisturizers with physiologic lipid-based barrier repair therapy. Moisturizers are standard ancillary therapy for anti-inflammatory skin disorders, like atopic dermatitis (AD), and can attenuate the emergence of AD, the initial step in the “atopic march.” But not all moisturizers are beneficial; some can make skin function worse, and can even induce inflammation, possibly accounting for the frequent occurrence of “sensitive skin” in women. In contrast, physiologic lipid-based barrier repair therapy, if comprised of the 3 key stratum corneum lipids, in sufficient quantities and at an appropriate molar ratio, can correct the barrier abnormality and reduce inflammation in AD, and perhaps in other inflammatory dermatoses.
DOI: 10.17632/2gdf9pg5bt
title: PDL systematic review included studies table

description: Table of included studies and each study's number of subjects, laser settings, and Nail Psoriasis Severity Index (NAPSI) data
DOI: 10.17632/yz6zwm5tk9
title: Epigenetic fingerprint of the SARS-CoV-2 infection in the lung of lethal COVID-19

description: This dataset is related to the “Epigenetic fingerprint of the SARS-CoV-2 infection in the lung of lethal COVID-19”study (PMID: 37914026; DOI: 10.1016/j.chest.2023.10.032) , where we interrogated the DNA methylation landscape from lung autopsies of 36 patients who died of SARS-CoV-2 infection vs 18 control individuals. Information included in this dataset: 1. Differentially methylated CpG sites in COVID-19 vs control group. 2. Differentially methylated CpG sites in chronic vs acute diffuse alveolar damage (DAD) from EPILUNG signature in COVID-19 group. 3. Differentially methylated CpG sites within coding genes between COVID-19 and control groups. 4. Differentially methylated CpG sites within coding genes in COVID-19 vs control groups that significantly correlate with gene expression. 5. Enrichment analysis results from the 160 genes differentially methylated in COVID-19 vs control groups that shown a significant correlation between methylation and expression.
DOI: 10.6084/m9.figshare.28720847.v1
title: 沉水大型植物通过增强植物性状网络连通性与增加沉积物资源来促进养分利用效率和生长

description: 沉水大型植物 养分利用效率 ， 植物性状网络连通性 ， 沉积物资源