cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.4214502
title: Adaptive Shrinkage in Bayesian Vector Autoregressive Models

description: Vector autoregressive (VAR) models are frequently used for forecasting and impulse response analysis. For both applications, shrinkage priors can help improving inference. In this article, we apply the Normal-Gamma shrinkage prior to the VAR with stochastic volatility case and derive its relevant conditional posterior distributions. This framework imposes a set of normally distributed priors on the autoregressive coefficients and the covariance parameters of the VAR along with Gamma priors on a set of local and global prior scaling parameters. In a second step, we modify this prior setup by introducing another layer of shrinkage with scaling parameters that push certain regions of the parameter space to zero. Two simulation exercises show that the proposed framework yields more precise estimates of model parameters and impulse response functions. In addition, a forecasting exercise applied to U.S. data shows that this prior performs well relative to other commonly used specifications in terms of point and density predictions. Finally, performing structural inference suggests that responses to monetary policy shocks appear to be reasonable.
DOI: 10.6084/m9.figshare.14565411.v1
title: Complete Dataset for Case Study of Recent Farmers Protest in India

description: Contains CSV files of all the tweets and article scraped from Twitter and Google News respectively, in both raw and preprocessed format.
DOI: 10.17632/8n8bn8p45y
title: Data for: Experienced guilt, but not pride, mediates the effect of feedback on pro-environmental behavior

description: Datasets for Studies 1 and 2. Email sintov.2@osu.edu with any questions
DOI: 10.17632/hzmf847tb9
title: Temperature shocks, rice production, and migration in Vietnamese households

description: Data and replication files for the paper "Temperature shocks, rice production, and migration in Vietnamese households" published by Ecological Economics. 
This paper analyses the relationship between temperature shocks and migration in rural households in Viet Nam. To control for the potential endogeneity between crop production and migration we use monthly minimum temperatures in the growing season as an instrument of rice production. In this way, we exploit a relationship uncovered in natural science. Results show that the rise in minimum temperature during the core month of the growing season (i.e. June) does cause a reduction in rice production which, in turn, has a positive impact on people’s propensity to migrate. This finding, which is robust to the use of different estimators and plausible violations of the exogeneity of the instrument, supports the ‘agricultural channel’ between climate shocks and migration by highlighting a specific feature at work in a rice-producing country.
DOI: 10.17632/y9gg9zy3cg
title: Replication code for "Dynamic Asset (Mis)Pricing: Build-up versus Resolution Anomalies"

description: Replication code for the paper “Dynamic Asset (Mis)Pricing: Build-up versus Resolution Anomalies” by Binsbergen, Boons, Opp and Tamoni
DOI: 10.6084/m9.figshare.12323366.v2
title: Viral sequences

description: Alarcon-Schumacher et al 2021, <i>msystems</i>Supplementary material
DOI: 10.6084/m9.figshare.19754854.v1
title: RNA hypomethylation and altered DNA methylation machinery in the cortex of ApoE4 carriers and Alzheimer’s disease subjects

description: Dataset for the bar graphs in the figures.
DOI: 10.17632/cp46k6tx57
title: Review of Policy and Regulatory Options for Renewable Energy-Energy Storage Systems (RE-ESS) Developments in Australia
DOI: 10.17632/zf67rsgydv
title: Data for: Measuring the state and temporal evolution of glaciers in Alaska and Yukon using SAR-derived 3D time series of glacier surface flow

description: These ascending and descending range and azimuth speckle offsets were computed from Sentinel-1 data acquired during 2016-2021 for glaciers in southeastern Alaska. The three-dimensional flow displacement times series were reconstructed from Sentinel-1 offsets using MSBAS technique.
DOI: 10.6084/m9.figshare.13286105.v1
title: nasbench301_full_data

description: Full dataset used to train the surrogate models from the paper "NAS-Bench-301 and the Case for Surrogate Benchmarks for Neural Architecture Search" (v1.0). This includes the final performance and training logs for architectures from the DARTS search space, including learning curves on the train, validations and test sets of the CIFAR-10 dataset.
DOI: 10.6084/m9.figshare.15162780.v1
title: Figure S2A.xlsx

description: PF-07304814 Substrate saturation plot in human liver S9
DOI: 10.6084/m9.figshare.28163483.v1
title: The latitudinal pattern of plant community invasibility depends on species diversity rather than phylogenetic distance

description: The latitudinal pattern of plant community invasibility depends on species diversity rather than phylogenetic distance
DOI: 10.6084/m9.figshare.23607741.v1
title: patient38.rar

description: A Patient with fundus images that taken by Ret-cam.
DOI: 10.6084/m9.figshare.27852465.v1
title: strava.csv

description: This dataset was collected by Professor Chris Brooks, who began his exercise routine in the summer of 2019. As his training progressed, he started tracking his activities using various devices, including a heart rate monitor, a smartwatch, and a bicycle. The devices used for data collection include the Stryd sensor (specifically for running), the Garmin Forerunner 245 Music (utilized for both running and cycling to integrate data), and Garmin cadence and speed sensors (used on the bike). Additionally, Professor Brooks shared his activity data on the social platform Strava.
DOI: 10.6084/m9.figshare.13505136.v1
title: Sistemas Multidimensionales (datos comunes)

description: Datos comunes a todos los municipios para completar los datos sobre el padrón de los municipios de cada provincia de España.<br>
DOI: 10.6084/m9.figshare.17292548.v1
title: The Amphibian Barcode Reconsidered: Widely Used, Short 16S rRNA Mitochondrial Gene Fragments Yield Poor and Erratic Results

description: Supplementary Information<br>
DOI: 10.6084/m9.figshare.6070760
title: Label legend for full 108 structure atlases

description: A list of anatomical structures available in the histologically-derived atlas from Chakravarty et al., (2006), and in the five resulting atlases generated using the atlas-to-template warping technique.
DOI: 10.17632/p4sd47b6rz
title: Dataset for Detecting Diseases in Sweet Orange Leaves

description: Abstract:
This dataset is designed for the detection and classification of common diseases in Sweet Orange leaves, specifically foliage damage and mealybug infestations. The dataset was curated to support advancements in agricultural disease detection through machine learning, providing a comprehensive resource for researchers.
Data Summary:
1. Raw Data:
o Total Samples: 3,569
o Disease Dataset: 2,660 samples, including:
 Foliage Damage: 1,200
 Mealybug Infestation: 560
o Fresh Dataset: 909 samples, including:
 Healthy Leaves: 864
 Medium Healthy Leaves: 45
2. Augmented Data:
o Total Samples: 21,409
o Disease Dataset: 15,955 samples, including:
 Foliage Damage: 12,596
 Mealybug Infestation: 3,359
o Fresh Dataset: 5,454 samples, including:
 Healthy Leaves: 5,184
 Medium Healthy Leaves: 270
Purpose:
The Sweet Orange Leaf Disease Detection Dataset is a versatile resource for machine learning applications in agriculture. It is particularly suited for training image-based models, such as Convolutional Neural Networks (CNNs), to:
• Identify leaves affected by diseases like foliage damage or mealybug infestation.
• Assess varying levels of healthiness in fresh leaves.
This dataset facilitates:
• Automated Disease Detection: Streamlining monitoring processes in Sweet Orange cultivation.
• Early Intervention Strategies: Supporting timely responses to prevent crop losses.
• Enhanced Model Development: Integrating image features (e.g., shape, color, texture) with environmental parameters like humidity and temperature to improve predictive accuracy.
By fostering precision agriculture practices, this dataset contributes to sustainable citrus farming and demonstrates the potential of AI-driven solutions for crop health management.
DOI: 10.6084/m9.figshare.28365896.v1
title: <b>Digital twin-based dynamic optimization of flexible job shop scheduling considering overtime and worker fatigue</b>

description: This is the experimental data of the manuscript entitled "Digital twin-based dynamic optimization of flexible job shop scheduling considering overtime and worker fatigue".
DOI: 10.6084/m9.figshare.7562516.v1
title: Blur Misrecognition

description: fMRI data of viewing blurred natural images by five subjects in an image recognition task. Codes for analysis are available at https://github.com/KamitaniLab/BlurMisrecognition.
DOI: 10.6084/m9.figshare.13678735.v2
title: Reference genome of Corallium japonicum (Coralliidae)

description: To reveal larval dispersal range of <i>Corallium japonicum</i> that is suffering from poaching and over-harvesting, we estimated spatial genetic structure using genome-wide SNPs obtained by high-throughput technology. We examined the power of detecting significant spatial structure by changing the number of loci and the proportion of missing data using both using both in <i>de novo</i> and mapping method. This assembled sequencing data was created from <i>C. japonicum</i> (Label: アカサンゴ1, Sample number: 91) collected in Shiraho, Okinawa, Japan on 24th October 2011 and used as a reference genome.<br>
DOI: 10.6084/m9.figshare.1613478.v1
title: Cutaneous Leishmaniasis in Libya

description: Cutaneous leishmaniasis ranks among the tropical diseases least known and most neglected in Libya. World Health Organization reports recognized associations of <i>Phlebotomus papatasi</i>, <i>Psammomys</i> <i>obesus</i>, and <i>Meriones </i>spp., with transmission of zoonotic cutaneous leishmaniasis (ZCL; caused by <i>Leishmania major</i>) across Libya. This data set represent occurrence records of six species associated with the transmission cycle in the country.
DOI: 10.6084/m9.figshare.19166516.v1
title: TF-Flowers

description: This is a public flower dataset.
DOI: 10.6084/m9.figshare.19298693.v3
title: EOR_Data

description: This document contains successful EOR projects data used for the study.
DOI: 10.17632/ztx8kcvf5g
title: Regional Disparities in Primary Cesarean Delivery Rates in Japan

description: This repository contains annotated datasets used for the analysis in "Regional Disparities in Primary Cesarean Delivery Rates in Japan: The Role of Obstetrician Availability." 

Original Data Table
This is the original data table to reproduce the figures of the study.
The detailed analysis method is written in the Materials and Methods section of the original articles.

Each table contains the following:
Table 1: Primary indications for primary cesarean delivery in DPC and non-DPC facilities.
Table 2: Comparative distribution of primary cesarean delivery and its indications among prefectures.
DOI: 10.6084/m9.figshare.12551237.v1
title: JVASP-42528 to JVASP-43561

description: JARVIS-DFT input/output files
DOI: 10.6084/m9.figshare.28677446.v1
title: Nuclear magnetic hydrogen spectrum.rarIntegrated Bioprinting of Trachea-Like Structures Based on Tissue-Specific bioink

description: database for artical uploaded :"Integrated Bioprinting of Trachea-Like Structures Based on Tissue-Specific bioink"
DOI: 10.17632/267dh85vpw
title: A Dataset for Categorizing Phrases and Sentences as Statements, Questions, or Exclamations Depending on Sound Pitch

description: Speech is one of humanity's most natural and efficient forms of communication, working as an essential channel for the exchange of ideas and knowledge. In the current technological environment, researchers attempt to improve the collaboration between humans and computers. Fundamental in this approach is Natural Language Processing (NLP), a vibrant area within artificial intelligence that enables computers to understand and react to human language. NLP enhances our comprehension of speech, allowing perfect human-machine interaction.
Recent developments in machine learning, particularly deep learning methodologies, have transformed sound recognition systems. These methods are efficient in extracting complex, advanced features from raw audio data, enabling algorithms to detect small differences that require precise understanding. Pitch is one of the most crucial acoustic characteristics. Pitch variations inform categorisation algorithms to differentiate various types of spoken content, establishing a foundation for enhanced speech analysis.
The importance of pitch is particularly noticeable when classifying speech into specific categories. Age, gender, and fundamental vocal variations can influence the accuracy of speech recognition, making adaptation to these differences essential. Speeches are typically classified into various types: statements, questions, exclamations, and occasionally demands. In specific languages, like Kurdish, identical words or phrases may have varying meanings depending solely on the tone and pitch employed. Consequently, the pitch of a spoken phrase is crucial in communicating its intended message.
Considering these challenges and opportunities, the provided dataset aims to classify phrases and sentences as statements, questions, or exclamations according to their pitch. Audio samples were obtained from various sources, guaranteeing an extensive range of pitch patterns and speech styles. Every sample is carefully labelled to indicate its communicative purpose, providing a valuable resource for training and assessing advanced speech recognition models. This dataset facilitates the creation of customised NLP applications and enhances our comprehension of the impact of acoustic features on language understanding.
DOI: 10.6084/m9.figshare.24916278.v1
title: Supplementary Figures

description: This file contains individual characteristics of the samples included in the analysis, the expression of selected signature genes for each subcluster in myofibers nuclei, and pseudotime trajectory analysis of FAPs nuclei by RNA velocity.
DOI: 10.6084/m9.figshare.8295101.v1
title: Semantic transparency effects in German compounds: A large dataset and multiple-task investigation

description: Datasets and scripts for the study "Semantic transparency effects in German compounds: A large dataset and multiple-task investigation".<br># Datasets:<br><b>- Dataset1810.txt: The main dataset described in the article, containing measures for 1810 existing German compounds</b><br>- Dataset40475.txt: A dataset containing the same measures for a large dataset of 40475 additional existing German compounds<br>- DatasetNonwords.txt: A dataset containing the same measures (if available) for 2061 novel German compounds<br><br>Variable names:<i><br></i><i>see the article for detailed descriptions of what these variables represent and how they are measured</i><br><br>mod: compound modifierhead: compound headcomp: the whole compound word <br>length: length (in letters)modrel: modifier relatednessheadrel: head relatednessconstsim: consistuent similarity<br>modcomp: modifier compositionheadcomp: head compositionccomp: compound compositionalityfreq_mod: modifier frequencyfreq_head: head frequencyfreq_comp: compound frequencyrating: explicit semantic transparency judgment (mean value)<br>ldt1: processing time in Lexical Decision Experiment 1 (mean value)ldt2: processing time in Lexical Decision Experiment 2 (mean value)gazedur: Gaze Duration in the Eye-Tracking Experiment (mean value)ffdur: First Fixation Duration in the Eye-Tracking Experiment (mean value)famsize_mod: modifier family sizefamsize_head: head family size<br><br><br><br># Analyses:<br>The files analysis_XXX.R contain the analyses (R scripts) for the respective studies reported in the article<br># Additional material:<br>The other files were used to create the measures reported n the article.<br>
DOI: 10.17632/y32vp8tgdg
title: Survey data on organizational culture and entrepreneurial orientation in German family firms

description: This dataset represents assessments of entrepreneurial orientation and organizational culture variables obtained from a web-based survey addressing owners and/or CEOs of German family firms. Survey data was collected via an anonymous self-administered web-based questionnaire addressing the owners and/or CEOs of German family firms. Data collection took place between December 2017 and February 2018. Researchers used a key informant approach at the top management level of analysis. An invitation and a link to a web-based survey were sent by email to the owners and/or CEOs of the firms identified. After several reminders, the study yielded 404 responses for an initial response rate of 11.4%. The final data includes 208 complete cases. Data covers five dimensions of entrepreneurial orientation (innovativeness, proactiveness, risk taking, autonomy, competitive aggressiveness), three dimensions of long-term orientation (futurity, perseverance, continuity), six dimensions of stewardship climate (organizational identification, collectivist orientation, power distance, involvement orientation, use of personal power, intrinsic motivation), three dimensions of learning orientation (commitment to learning, shared vision, open-mindedness), willingness to change, error management culture, and family commitment culture. Additionally, firm-level attributes (e.g., industry, age, size) and top management-level characteristics (e.g., generational involvement, involvement of the founder) are included.
DOI: 10.17633/rd.brunel.6752825.v1
title: Super-recognisers and controls - own-race and cross-race memory and matching dataset

description: Contains data from two tests of face memory (one with Caucasian faces; one with Chinese faces) and four tests of face matching (Caucasian, Asian, Middle Eastern/Arab, and Black faces). <br>Data for memory tests is percent correct. Data for matching tests is presented as percent hits (correctly identifying matches); percent CRs (correctly rejecting incorrect matches), percent overall accuracy, and the signal detection measures A and b (sensitivity and bias, respectively). <br>Data is presented for three groups of participants: Caucasian "super-recognisers" (who show extraordinary face recognition abilities); Caucasian typical perceivers; Asian typical perceivers (for Caucasian and Asian memory and matching tests only).
DOI: 10.6084/m9.figshare.1189260.v1
title: F42B sandstone

description: Micro-CT image of F42B sandpack and extracted networks (Dong and Blunt, 2009, DOI: http://dx.doi.org/10.1103/PhysRevE.80.036307) The image can be visualised by opening the Nrrd header file F42B.nhdr in visualization software such as Paraview or ImageJ (http://fiji.sc/Fiji), You can also open the F42B.nhdr file in a text editor to see the image and voxel sizes. See the link provided for further information.
DOI: 10.6084/m9.figshare.12738545.v1
title: List of supplementary files.docx

description: Supplementary files for "Functional divergence of mammalian TFAP2a and TFAP2b transcription factors for bidirectional sleep control"<br>
DOI: 10.6084/m9.figshare.26043871.v12
title: <b>Choroid plexus free-water correlates with glymphatic function in Alzheimer’s disease</b>

description: Here presents the dataset for the statistical analysis for the manuscript "Choroid Plexus Free-Water Correlates with Glymphatic function in Alzheimer Disease: The RJNB-D Study". The file "fwf_all_n216.xlsx" is the baseline dataset. The files "fwf_Ab_pos_133.xlsx" and "fwf_Ab_neg_83.xlsx" are beta-amyloid positive and negative subgroups, respectively. The file "M12_all_n76.xlsx" is the 12-month follow-up dataset. The files "M12_Ab_pos_n46.xlsx" and "M12_Ab_Neg_n30.xlsx" are beta-amyloid positive and negative subgroups, respectively.
DOI: 10.6084/m9.figshare.91671.v2
title: E. Coli Growth over 4 hours

description: In preparation for some deuterium effects on E. coli and S. cerevisiae, I grew a starter culture and diluted it in 3 different concentrations. 1:10, 1:5, and 1:2. These dilutions were then grown at 37C for 4 hours and an absorption measurement was taken every hour. This fileset contains the raw data and some played with data, along with some figures made in Excel from the data. The file labeled "arb-ecoli-growth.png" is a figure made from manipulated data. I tried to combine the three data sets into one graph to see if I could extract some sort of growth information. I'm pretty sure I didn't do it right, but I included the image here nonetheless. In the 1:10 dilution sample, the cells would double in slightly less than one hour, every hour. In the 1:2 dilution, the growth rate was much slower, and the growth rate seemed to peak rather early in the trial. The 1:5 dilution is an overlap of growths between both the 1:10 and 1:2 dilutions. I don't know what to make of that. Also included in the fileset is an image of the absorbance spectrum from the nanodrop for every sample (including blanks taken every hour).
DOI: 10.17632/4nd9d78dmx
title: smart elderly care and subjective wellbeing of the elderly

description: smart elderly care and subjective wellbeing of the elderly from CLHLS
DOI: 10.17632/cd6hdt2tp5
title: breast cancer

description: The current work obtained the approval of the Medical Ethics Committee of Zhongshan Hospital Affiliated with Dalian University. We obtained 230 pairs of postoperative pathological samples of patients undergoing breast cancer stored in paraffin wax blocks. These patients were admitted to the Department of Surgery of Zhongshan Hospital Affiliated with Dalian University between January 2014 and January 2018. All of the selected patients were naive to preoperative treatments, including neoadjuvant, radiotherapy, or chemotherapy. The selected patients had complete clinicopathological and follow-up information. All samples were subjected to freezing using liquid nitrogen (−80 °C). The present study was performed following the Declaration of Helsinki. The informed consent was acquired from all the patients.
DOI: 10.6084/m9.figshare.13821968.v1
title: Assessing patterns of metabolic rate and respiratory surface area data across the vertebrate tree of life

description: Raw data and code for the paper, "Respiratory capacity is twice as important as temperature in driving patterns of metabolic rate across the vertebrate tree of life" in <i>Science Advances. </i><i><br></i>If code or data is used, please cite the paper and this figshare DOI.
DOI: 10.6084/m9.figshare.21821439.v3
title: dataset_CRC_Fes.csv

description: This data contains information on the overall survival rates for colorectal patients in Morocco and some related prognostic factors. Our initial work consisted in using a novel approach combining survival random forest and the Cox model.