cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.28829420.v5
title: R codes for Global CNP Manuscript

description: We compile data from a global survey including 200 natural ecosystems from five climate zones, covering vegetation types of forests, grasslands, and shrublands to investigate how soil microbiomes (i.e., key functional genes and their affiliated metabolic pathways, as well as gene modules encoding carbohydrates hydrolysis) adapt to resource quantity (i.e., soil elemental stocks and pools including multiple C, N and P forms) and stoichiometry (soil total C:N, N:P and C:P) in terrestrial ecosystems at a global scale. Perennial vascular plant cover and productivity were quantified at each sampling site as a measure of vegetation functional characteristics. Information on the functioning of soil microbiomes was characterized by metagenomic sequencing of the extracted soil DNA.
DOI: 10.17632/fsdf4f4yv5
title: A CNN-LSTM based deep learning model with high accuracy and robustness for carbon price forecasting: A case of Shenzhen's carbon market in China

description: To cite the provided dataset for building prediction models, please reference the following paper:

Shi H, Wei A, Xu X, Zhu Y, Hu H, Tang S. A CNN-LSTM based deep learning model with high accuracy and robustness for carbon price forecasting: A case of Shenzhen's carbon market in China. J Environ Manage. 2024 Feb 14;352:120131. doi: 10.1016/j.jenvman.2024.120131. Epub 2024 Jan 23. PMID: 38266520.

This dataset encompasses all essential data and code required for constructing prediction models, including CNN, LSTM, CNN-LSTM, CEEMDAN, Boosting, and GRU, as detailed in the referenced article.
DOI: 10.6084/m9.figshare.26906593.v2
title: <b>Light-harvesting by antenna-containing rhodopsins in pelagic Asgard archaea. Bioinformatic Data</b>

description: Bioinfromatic data and the code archive for Tzlil et al (2025) Structural insights into light harvesting by antenna-containing rhodopsins in marine Asgard archaea Nat Microbiol. The files are as follows:<br><code>analysis</code><code>.zip</code> - the archive of the <code>analysis</code>/ directory<code>genomes.zip</code> - genome assemblies of the Kariarchaeaceae used for the phylogeny<code>Kariarchaeaceae_457a772.zip </code>- archive containing the snapshot of the code repository https://github.com/BejaLab/Kariarchaeaceae<code>metadata</code> - metadata files for the proteins, the genomes and the Logan datasets<code>rhodopsins </code>- reference rhodopsin sequences of marine archaeal proton pumps
DOI: 10.6084/m9.figshare.27644565.v1
title: Dataset of "(Anti-)Corruption Publications" (29 April 2022 - 10 November 2024)

description: Dataset of publication alerts posted by the Twitter account "(Anti-)Corruption Publications" between 29 April 2022 and 10 November 2024. The list was curated by Joseph Pozsgai-Alvarez (Osaka University). It contains 1,801 items (76 books and 1,725 articles/chapters). The items were identified via Google Scholar Alerts using corruption-related keywords. Only publications with a working DOI link or from internationally reputable sources were included.
DOI: 10.17605/osf.io/2qpck
title: Shifting priorities: Switching between health and indulgence motivational states impacts proactive inhibition towards unhealthy food

description: The aim of this project is to identify if the motivational state of eating healthily compared to enjoying tasty but unhealthy food impacts proactive and reactive food-specific inhibitory control. In a within-subjects design, we induce health-oriented and indulgence-oriented motivational states to explore how such temporary motivational states may impact food-specific inhibitory control, using Stop Signal Task and Go/No-Go Task. Data from the pilot study (N=8) and the main study are shared, all analyses are available in Appendix B. Stop Signal Task is also replicated in a separate sample, can be accessed at: https://osf.io/bmwzx/
DOI: 10.17632/vyz9zvddz4
title: Long-term monitoring of potentially toxic phytoplankton, marine biotoxins and hydrographic variables in open waters off the Basque coast (SE Bay of Biscay)

description: This dataset shows hydrographic variables, phytoplankton abundance (potentially toxic taxa), and levels of marine biotoxins in bivalves from an offshore shellfish production area on the Basque coast (southeastern Bay of Biscay). Two zones were monitored: one at an aquaculture experimental site (from December 2013 to December 2023), and another at a mussel farm (from June 2019 to December 2023). Not all variables were measured throughout the entire monitoring period. Sampling frequency also varied, although generally, monthly or fortnightly surveys were conducted (except from September 2015 to March 2016). Hydrographic variables (temperature, salinity, density (sigma theta), light transmission, photosynthetically active radiation, chlorophyll "a", dissolved oxygen concentration, and oxygen saturation) were measured in situ at different depths using continuous vertical profilers, Sea-Bird SBE 25 and 25plus CTD instruments. Due to the multi-year duration of the monitoring, phytoplankton and biotoxin analyses were conducted by different laboratories. The Utermöhl method was employed for the identification and counting of phytoplankton, from May 2014 to May 2017 by the University of the Basque Country, and onwards by Oceansnell. Mussels and oysters were analysed to determine the concentration of toxins related to the Amnesic Shellfish Poisoning (ASP) and the Paralytic Shellfish Poisoning (PSP), together with several lipophilic phytotoxins (i.e., Okadaic Acid (OA), Dinophysistoxins (DTXs), Pectenotoxins (PTXs), Yessotoxins (YTXs) and Azaspiracids (AZAs)). These biotoxins were analysed by the laboratories of Intecmar (from December 2013 to December 2019) and Cecopesca-Anfaco (from January 2020 to June 2023) following the standardized methodology specified in the corresponding EU Regulations. This work was supported by the Fisheries and Aquaculture Directorate, Department of Economic Development, Sustainability and Environment of the Basque Government through the ACULAB Project.
DOI: 10.6084/m9.figshare.8942336.v3
title: Improved estimate of global gross primary production for reproducing its long-term variation, 1982-2017

description: We have updated our GPP dataset to 2018.<br>This dataset provides 8-day global gross primary production (GPP) at 0.05° latitude by 0.05° longitude for 1982-2017. (1) Model description and performance The GPP dataset was generated by the revised EC-LUE model by integrating the regulations of several major environmental variables: atmospheric CO2 concentration, radiation components (i.e., direct and diffuse radiations), and atmospheric vapor pressure deficit (VPD). The revised EC-LUE performed well in simulating the spatial, seasonal, and interannual variations in global GPP. Particularly, it has a unique superiority in reproducing the interannual variations in GPP at both site level and global scales. (2) Dataset information Each .zip file contains all the 8-day GPP of a year at daily value. To obtain the summation of each 8-day (or 5-day or 6-day) period, please multiply the GPP value by corresponding days (8 for the first 45 values, and 5 or 6 for the last value). Data format: HDF Spatial extent: 90S-90N 180W-180E Fill value: 65535 Scale factor: 0.01 Unit: g C m<sup>-2</sup> day<sup>-1</sup> Any questions about the GPP dataset can be corresponded to yuanwpcn@126.com (Wenping Yuan).
DOI: 10.6084/m9.figshare.28742078.v2
title: <b>LongYuening: The Impact of Social Media Marketing on Chinese Consumers' Willingness to Pay Green Premiums</b>

description: Title:"Complete Dataset on Social Media Marketing, Green Marketing, and Willingness to Pay Green Premiums Among Chinese Consumers"<br>Description:This dataset supports the research presented in the paper "The Impact of Social Media Marketing on Chinese Consumers' Willingness to Pay Green Premiums: The Mediating Effect of Green Marketing." It includes complete survey data and analytical files investigating how social media marketing influences Chinese consumers' willingness to pay premiums for green products, with green marketing as a mediator.<br>Dataset Contents:1. Primary Data Files: Longyuening_数据_Green Premiums.xlsx (74.56 KB)(Chinese version); LongYuening_Date_Green Premiums.xlsx (77.14 KB)(English version): Raw survey data (Chinese version) containing:Consumer responses on social media marketing effectivenessPerceptions of green marketing initiativesWillingness to pay green premiums (7-point Likert scale)Demographic information (age, gender, income, education level)2. Survey Questionnaire: Longyuening_Questionnaire问卷星_ Green Premiums.docx(Chinese version);Longyuening_QuestionnaireWenjuanxing_Green Premiums.docx (18.56 KB)(English version): Original bilingual questionnaire used for data collection, including:Item wordingsScale anchorsResponse options3. Analysis Files:Structural Equation Modeling (SEM):Longyuening_Path Analysis and SEM_Green Premiums.amw (76.94 KB): AMOS project fileLongyuening_Path Analysis_Green Premiums.amosoutput (1.32 MB): Complete SEM outputLongyuening_Path Analysis_Green Premiums.amp (23.50 KB): AMOS path diagram4. Statistical Analyses:Longyuening_Mediation Effect Analysis_Green Premiums.txt (154 Bytes): Mediation test resultsLongyuening_Reliability Analysis_Green Premiums.htm (888.17 KB): Reliability statistics (Cronbach’sα, composite reliability)Longyuening_Validity Analysis and Exporatory Factor Analysis_Green Premiums.htm (1.10 MB): Exploratory factor analysis (EFA) and validity test results<b>Key Features:</b>Complete bilingual dataset (Chinese/English)Comprehensive analytical files for SEM reproductionDetailed survey instrument documentationCleaned and ready-to-use data formatsThis dataset provides researchers with all necessary materials to examine the relationships between social media marketing, green marketing perceptions, and green premium willingness in the Chinese consumer context.<br><br>
DOI: 10.17632/czg2gypj89
title: Database_Historic_Masonry_Towers_Experimental_Frequency

description: The database is the result of a systematic literature review on experimental campaigns carried out for dynamic identification and vibration-based monitoring of historic masonry towers. The database includes 184 historic masonry towers, namely, civic and bell towers. Other historic slender structures, such as minarets, lighthouses, chimneys and pagoda temples, have not been considered.
The database is organised according to the following macro-categories, namely, General information (1), Material Type (2), Boundary conditions (3), Geometrical features (4), Natural frequency (5) and Publication (6).  
General information (1) regards the Identification Number (ID), the Name of the Tower, and Country. Material type (2) indicates the masonry used for the tower construction according to three categories (Brick, Stone or Mixed). Boundary conditions (3) reflect the interaction of the towers with adjacent buildings and structures according to two categories (Isolated or Bounded). Geometrical features (4) include the cross-section shape (rectangular, square, semi-circular, circular, elliptical, pentagonal, octagonal, dodecagonal), and geometrical dimensions (maximum height, effective height, side lengths, aspect ratio and wall thickness). 
Natural frequency (4) reports the first experimental frequency value corresponding to a bending mode. 
Publication (5) encompasses the source of information, namely, the Authors, the Year of Publication, and the Title of the scientific research. 
Comprehensive literarure details:
Keywords: Historic masonry tower; Dynamic identification; Ambient Vibration Testing (AVT); Structural health monitoring (SHM);  FE model updating; Experimental frequency.
Investigation Sources: SCOPUS, Google Scholar, ScienceDirect, WebofScience.
Investigation time period: 1995- 2022
DOI: 10.6084/m9.figshare.899806.v1
title: An IDL routine to combine measurements

description: This IDL routine uses an optimal variance-weighted mean to combine measurements of the same physical quantity with individual errors. It corrects for over-dispersion to account for possible underestimations of individual measurements, as well as an intrinsically varying physical quantity. The routine does not correct for under-dispersion to avoid strange behaviours in cases where individual measurements are very close one to another. This IDL routines uses the method described here (http://en.wikipedia.org/wiki/Weighted_arithmetic_mean#Correcting_for_over-_or_under-dispersion), and was used to combine radial velocity, proper motion and distance measurements in Gagné et al. (2014).
DOI: 10.17632/n6hsg8kcjf
title: Supplemental data: Play behaviour positively relates to weight gain, feeding behaviour and drinking behaviour in weaner pigs (Sus scrofa)

description: We explored the relationship between two types of play behavior and measures of nutritional status (i.e., weight gain, feeding behavior, and drinking behavior) in weaner pigs. Our study demonstrated that motivation to play is higher when animals are in more stable conditions, e.g., well-nourished, and healthier than under suboptimal conditions.

The present study titled "Play behaviour positively relates to weight gain, feeding behaviour and drinking behaviour in weaner pigs (Sus scrofa)" and submitted to Applied Animal Behaviour Science on October 25, 2022 was conducted from February to November 2020 at the experimental facilities at the Department of Animal and Veterinary Sciences, Aarhus University, Viborg, Denmark. The experimental procedures were carried out in accordance with the Ministry of Food, Agriculture and Fisheries, The Danish Veterinary and Food Administration under act 474 of 15. May 2014 and executive order 2028 of 14. December 2020, and under consideration of the ARRIVE Guidelines (Du Sert et al., 2020). The present study is part of a large study examining the clinical, physiological, and behavioural effects of weaning intact litters in farrowing pens for loose-housed sows and alternative sow hybrid described in detail by Franchi et al. (2022) and Winters et al. (2022).

Herein, the supplemental data is made available.
DOI: 10.6084/m9.figshare.23578719.v1
title: CoCross Covid-19 Lung Sounds Database

description: Digital thoracic auscultation database from mechanically ventilated critically ill COVID-19 patients recorded at the 1st ICU, "G. Papanikolaou" Hospital of Thessaloniki, Greece. The database also contains extracted lung sound features.
DOI: 10.6084/m9.figshare.28139837.v1
title: Dataset: "A Method for Sensitivity Analysis of Automatic Contouring Algorithms Across Different MRI Contrast Weightings Using SyntheticMR"

description: For the paper "A Method for Sensitivity Analysis of Automatic Contouring Algorithms Across Different MRI Contrast Weightings Using Synthetic MR" found at: https://doi.org/10.1101/2025.01.10.25319895This dataset contains the ground truth segmentations from three expert annotators (v1, v2, v3) for the left parotid, right parotid, left submandibular, and right submandibular gland. In addition, for each contrast weighting (TR and TE combination), the synthetic image generated from SyMRI as well as the model's predicted automatic contours are also included. This dataset is repeated for a healthy volunteer and a patient. This data follows the following format:<br>Subject-1___healthy-volunteer.zipground_truthParotid_L_v1.niiParotid_L_v2.niiParotid_L_v3.niiParotid_R_v1.nii...modelTR100_TE5structuresParotid_L.nrrdParotid_R.nrrd...img.nrrdTR100_TE10......Subject-2___patient.zipground_truth...model...The contrast weighting combinations (i.e., TR100_TE5) implies a TR = 100 ms and TE = 5 ms.The code to reproduce the analysis from the paper is at: https://github.com/Lucas-Mc/SyntheticMR_DL-sensitivity.
DOI: 10.6084/m9.figshare.5968960.v2
title: Single-cell RNA-seq data from microfluidic emulsion (v2)

description: Gene-count files and metadata files for single cells from different organs of mice processed on the 10X Genomics Platform. The counts are given using the .mtx file output by the CellRanger program, with one folder per run.<br>Includes data for 422,803 droplets, 55,656 of which passed a QC cutoff of 500 genes and 1000 UMI.<br>Cell annotations using the Cell Ontology [1] controlled vocabulary are in a separate csv.<br>[1] http://purl.obolibrary.org/obo/cl.owl<br><b>Why it's different from the previous version </b>(https://figshare.com/account/projects/27733/articles/5715025):Renamed tissues for nomenclature standards: "Colon" --&gt; "Large_Intestine" "Heart" --&gt; "Heart_and_Aorta" "Muscle" --&gt; "Limb_Muscle" "Mammary" --&gt; "Mammary_Gland" "Brain_Microglia" --&gt; "Brain_Myeloid" "Brain_Non-microglia" --&gt; "Brain_Non-Myeloid"Update 2018-03-28: Uploaded resubmitted annotations, with within-tissue (organ) tSNE coordinates
DOI: 10.6084/m9.figshare.19808407.v1
title: China's Gridded Manufacturing Dataset

description: The growth of the manufacturing industry is the engine of rapid economic growth in developing regions. Characterizing the geographical distribution of manufacturing firms is critically important for scientists and policymakers. However, data on the manufacturing industry used in previous studies either have a low spatial resolution (or fuzzy classification) or high-resolution information is lacking. Here, we propose a map point-of-interest classification method based on machine learning technology and build a dataset of the distribution of Chinese manufacturing firms called the Gridded Manufacturing Dataset. This dataset includes the number and type of manufacturing firms at a 0.01° latitude by 0.01° longitude scale. It includes all manufacturing firms (classified into seven categories) in China in 2015 (4.93 million) and 2019 (6.89 million). This dataset can be used to characterize temporal and spatial patterns in the distribution of manufacturing firms as well as reveal the mechanisms underlying the development of the manufacturing industry and changes in regional economic policies.
DOI: 10.6084/m9.figshare.25046090.v1
title: Raw data of Arcan fixture

description: The data is a raw data of GFRP shear test using a complex Arcan fixture. Raw load displacement data is presented and the dimension detail of each specimen is included.
DOI: 10.6084/m9.figshare.4546906.v1
title: Raw Data from Long-term memory of relative reward values

description: Long-term memory can be adaptive as it allows animals to retain information that is crucial for survival, such as the appearance and location of key resources. This is generally examined by comparing choices of stimuli that have value to the animal with those that do not; however, in nature choices are rarely so clear cut. Animals are able to assess the relative value of a resource via direct comparison, but it remains unclear whether they are able to retain this information for a biologically meaningful amount of time. To test this, captive red-footed tortoises (<i>Chelonoidis carbonaria</i>) were first trained to associate visual cues with specific qualities and quantities of food, and their preferences for the different reward values determined. They were then retested after an interval of 18 months. We found that the tortoises were able to retain the information they had learned about the cues as indicators of relative reward values over this interval, demonstrating a memory for the relative quantity and quality of food over an extended period of time. This is likely to impact directly on an animal's foraging decisions, such as the exploitation of seasonally varying resources, with obvious fitness implications for the individual; however, the implications may also extend to the ecological interactions in which the animal is involved, affecting processes such as herbivory and seed dispersal.
DOI: 10.6084/m9.figshare.8327096.v1
title: Smart Home Scenarios

description: In this study, we asked crowd workers to generate IoT scenarios by showing them list of trigger (input) and action (output) devices. Each crowd worker created 3 scenarios. Currently, the following attributes are included in the dataset for each scenario: <i>Category, Trigger Devices and their Triggers, Action Devices and their Actions, word count, word per sentences, Long words, unique words, difficult words, Mean Originality, Mean Practicality, Mean Creativity, Sum Creativity, Creative (dichotomous: 0 or 1). and some worker related information such as: Has Smart home experience (Boolean)? Total Experience (Months), Gender, Age, Family Size, Programming Experience, choices of input and output devices.</i>
DOI: 10.6084/m9.figshare.19735849.v3
title: Long-term observation dataset of sediment dynamics and bed stability in East Creek, British Columbia, Canada

description: The data repository includes the data of streamflow, sediment transport, step stability, sediment storage, and wood storage with different periods in East Creek, Vancouver, British Columbia, Canada
DOI: 10.6084/m9.figshare.24844017.v1
title: DFT data associated with Set of Small Ordered Structures (SSOS) paper by Kuner, Rothchild, Asta, and Chrzan (2024). https://doi.org/10.1016/j.commatsci.2024.112924

description: This repository contains a summary of all DFT data used in the paper (https://doi.org/10.1016/j.commatsci.2024.112924), including input parameters, significant outputs, etc.
DOI: 10.17632/b5rjrd469w
title: General subroutines for the calculation of atomic and molecular two-centre integrals

description: Abstract The Fourier transform method for calculation of atomic and molecular two-centre integrals is programmed in Fortran, using algebraic manipulation techniques. The subroutines can be directly included numerical codes and provide efficient and general methods for the calculation of two-centre integrals for any quantum numbers or geometry. Title of program: ALAIN Catalogue Id: ABLY_v1_0 Nature of problem Calculation of two-centre overlap and coupling elements for atomic and molecular purposes based on the Fourier transform method. Versions of this program held in the CPC repository in Mendeley Data ABLY_v1_0; ALAIN; 10.1016/0010-4655(90)90147-S This program has been imported from the CPC Program Library held at Queen's University Belfast (1969-2019)
DOI: 10.6084/m9.figshare.22671160.v1
title: Raw data , western blot and code.zip

description: Raw data for manuscripts (Long non-coding RNA NMRAL2P promotes glycolysis and reduce ROS in head and neck tumor by interacting with ENO1 protein and promoting GPX2 transcription)
DOI: 10.6084/m9.figshare.27929640.v1
title: Average income (per person) by Municipality.

description: It contains three columns:i) "Municipality concept," which includes the name of the municipality and the postal code (truncated to 5 digits and enclosed in brackets),ii) "Foreigners from low- or middle-income countries (%)", andiii) "Average income per person (€)".For data processing, the first column should be split into two, with one containing the name of the municipality and the other containing the truncated postal code without brackets. <br><br>txt file, size 31.4 KB
DOI: 10.6084/m9.figshare.5487145.v1
title: Latombe et al. scripts and data

description: Code and data for the downscaling of a paleoclimatic model. Latombet et al.
DOI: 10.6084/m9.figshare.17372763.v2
title: Bracken_RScripts_ESM.zip from Flexible group cohesion and coordination, but robust leader–follower roles, in a wild social primate using urban space

description: Zip file of R scripts containing code to reproduce data used in main analyses.
DOI: 10.6084/m9.figshare.25974622.v2
title: Data for "Dual roles of microbes in mediating soil carbon dynamics in response to warming"

description: The study explored experimental warming effects on soil microbial community composition, metabolic capacities, physiology, and microbial necromass, as well as their controls over soil carbon processes.
DOI: 10.6084/m9.figshare.21836397.v1
title: 20221222_starrydata2

description: All data on Starrydata2, a database of experimental properties in the field of inorganic materials
DOI: 10.6084/m9.figshare.22698661.v1
title: western

description: raw data of Dinaciclib exerts a tumor-suppressing effect via β-catenin/YAP axis in pancreatic ductal adenocarcinoma