cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.13531436.v3
title: Test data for pre-trained DFCAN and DFGAN models

description: Some test data for DFCAN and DFGAN models of F-actin and microtubule data. You can read our Nature Methods paper "Evaluation and development of deep neural networks for image super-resolution in optical microscopy" (https://doi.org/10.1038/s41592-020-01048-5) for more information about DFCAN and DFGAN.
DOI: 10.6084/m9.figshare.16546041.v1
title: BIAS: A Toolbox for BenchmarkingStructural Bias in the Continuous Domain -- Tests Statistics and Rejections

description: These are the raw test statistics from running the test batteries on the scenario data. - SB folder: Each subfolder corresponds to one sample size (30,50,100 and 600) either across-dimensions or per-dimension. For each parameterization of the scenarios, there is one csv-file with the test statistics.- Critical_values folder: The full set of critical values (and reference values for calculating p-values) for all settings- Rejections folder: The set of test rejections for different settings of alpha and correction method (per-dimension tests only)- RF folder: the random forests generated for predicting the type or scenario of bias based on test rejections
DOI: 10.6084/m9.figshare.24495574.v1
title: Knowledge and practice of diagnostic reference levels, radiation protection and safety among dental professionals and dental undergraduate students in the United Arab Emirates: A multicentric study

description: Diagnostic reference levels
DOI: 10.6084/m9.figshare.13007840.v1
title: Multimodal in vivo recording of induced seizures: Calcium imaging and µECoG using transparent graphene microelectrode

description: Neurological disorders such as epilepsy arise from disrupted brain networks. Our capacity to treat these disorders is limited by our inability to map these networks at sufficient temporal and spatial scales to target interventions. Current best techniques either sample broad areas at low temporal resolution (e.g. calcium imaging) or record from discrete regions at high temporal resolution (e.g. electrophysiology). This limitation hampers our ability to understand and intervene in aberrations of network dynamics. Here we present a technique to map the onset and spatiotemporal spread of acute epileptic seizures <i>in vivo</i> by simultaneously recording high bandwidth microelectrocorticography and calcium fluorescence using transparent graphene microelectrode arrays. We integrate dynamic data features from both modalities using non-negative matrix factorization to identify sequential spatiotemporal patterns of seizure onset and evolution, revealing how the temporal progression of ictal electrophysiology is linked to the spatial evolution of the recruited seizure core. This integrated analysis of multimodal data reveals otherwise hidden state transitions in the spatial and temporal progression of acute seizures. The techniques demonstrated here may enable future targeted therapeutic interventions and novel spatially embedded models of local circuit dynamics during seizure onset and evolution.<br>This repository contains the files necessary to reproduce the analysis for this manuscript (https://doi.org/10.1101/2020.06.04.134189)
DOI: 10.6084/m9.figshare.28596398.v2
title: Validation Benchmark Study F1000-Research (Data)

description: Analysis results and data used to perform the benchmarking study entitled as R data objects.<b>Leveraging Synthetic Data to Validate a Benchmark Study for Differential Abundance Tests for 16S Microbiome Sequencing Data</b>The study protocol is the following:Kohnert, E., & Kreutz, C. (2025). Computational study protocol: leveraging synthetic data to validate a benchmark study for differential abundance tests for 16s microbiome sequencing data. <i>F1000Research</i>, <i>13</i>, 1180. https://f1000research.com/articles/13-1180The code used to generate this is available at https://github.com/kreutz-lab/ValidationBenchmarkStudyF1000Each RDS file contains the so called data_to_compare object, which is a hirarchical list object containing the experimental data, simualted data, results of the DA analyses as well as other calculations and information. Some information is only available in a compressed form. Use bs_decompress() from our github repository for de-compression.
DOI: 10.6084/m9.figshare.23889780.v1
title: ELMAS dataset

description: This dataset provides a set of 18 load profiles with an hourly temporal resolution that represent main industrial and tertiary sectors in France for the year 2018.The ELMAS dataset is derived from a total of 55,730 consumption time series initially split into 424 business sectors and three levels of subscribed capacity. The customer’s field of activity follows the Statistical Classification of Economic Activities in the European Community (NACE), which is a four-digit industry standard classification used in the European Union composed of 21 sections, 88 divisions, 272 groups, and 615 classes. For anonymity concerns, the initial times series are averaged according to their NACE coding and level of subscribed capacity.<br><br>Discrepancies between the temporal patterns of customers that belong to the same NACE section highlight the need to resort to another clustering approach. Thus, a K-means algorithm is used to gather the business groups sharing similar temporal patterns into 18 clusters. The resulting clustering shows that numerous NACE sections are scattered over various clusters, which increases the global heterogeneity of the clustering while spoiling the interpretation. The proportion of these dispersed NACE classes in terms of annual energy consumption remains low, which suggests that a manual reorganisation has little impact on the global consistency of the clusters. This manual reclassification is conducted in such a way that scattered NACE classes are gathered in the cluster that possesses the highest share of the considered NACE section. The energy consumption time series dataset represents a limited panel composed of 55,730 customers, which may bias the output load profiles in comparison with the whole French panel of industrial and tertiary customers. To fill this gap, Enedis provides the annual energy consumption of a wider range of customers for the year 2019. This annual energy consumption dataset is used to generate weights implemented in the clustering approach and to derive weighted average time series for the clusters.
DOI: 10.6084/m9.figshare.7346591.v1
title: PacBio-based genome assemblies of Neurospora sitophila

description: High-quality genome assemblies of two Neurospora sitophila strains, based on PacBio RSII long-read sequencing data. Strains are listed using the strain number from the Fungal Genetics Stock Center (www.fgsc.net), where they also can be ordered from.<br><br>Raw PacBio reads have been deposited in the Sequence Read Archive (SRA) in BioProjects PRJNA505300 (http://www.ncbi.nlm.nih.gov/bioproject/505300).<br><br>Strain list:<br><br>FGSC # | Species<br>-------+----------------------<br>5940 | Neurospora sitophila<br>5941 | Neurospora sitophila<br><br><br><br>For further information on the strains and the genome assemblies, please see:<br>Hosseini et al., (2020) "Comparative analysis of genome-wide DNA methylation in Neurospora": https://www.epigenetics.com/articles/xxx (DOI: 10.1080/15592294.2020.1741758)<br><br>
DOI: 10.6084/m9.figshare.27011980.v2
title: Image quality improvement of liver ultrasound using unsupervised deep learning

description: From January to April 2022, we prepared two categories of datasets for training our deep learning-based image quality improvement algorithm, i.e., 1) liver US obtained by a US machine &gt;10 years old, consequently having quality deterioration, served as an input, and 2) liver US obtained by a high-end US machine manufactured within last five years, served as a target (Fig. 1). Basically, all liver ultrasound scans included a minimum of 10 images (ranging from 10 to 38). These images encompassed suitable liver and gallbladder visuals, with no cine clips present. Additionally, all images were acquired using a 1-6 MHz convex transducer. For an input dataset, we randomly selected 500 liver US (training sets: validation sets: test sets = 350: 50:100) from 746 consecutively enrolled examinations from January 2016 to February 2018, performed by a hepatologist with 20 years of experience, using a 12-year-old US system (SSD-alpha 10 Ultrasound System, Aloka Co., Ltd., Japan). For a target dataset, we randomly selected 400 out of 2,652 liver US performed by one of three board-certified abdominal radiologists with more than 15 years of experience (E.S.L., H.J.P., and B.I.C.) from December 2020 to December 2021. All US of target datasets were obtained by a high-end US machine (Aplio i900, Canon Medical Systems, Japan), manufactured within the last 5 years from the date of examination.
DOI: 10.6084/m9.figshare.5579335.v1
title: MacLean et al. PNAS 2014 Self-Control Data

description: Individual level data from the cylinder and A not B tasks published in: <br>MacLean, E. L., Hare, B., Nunn, C. L., Addessi, E., Amici, F., Anderson, R. C., ... & Boogert, N. J. (2014). The evolution of self-control. <i>Proceedings of the National Academy of Sciences</i>, <i>111</i>(20), E2140-E2148.<br>
DOI: 10.5281/zenodo.15568865
title: Facsimiles in the Uppsala Etruscological Collection

description: Facsimiles (as well as some other material kept together with the facsimiles) in the Uppsala Etruscological Collection, which is part of the archive of Olof August Danielsson at the Uppsala University Library. The spreadsheet provides the identifier, type of facsimile, shelf-mark, epigraphic references, link to digitised facsimiles and two old reference schemes. The PDF document provides a detailed explanation of each column of the spreadsheet, as well as a bibliography of publications which have used the facsimiles, with the reference scheme used specified.
DOI: 10.5281/zenodo.15568866
title: Facsimiles in the Uppsala Etruscological Collection

description: Facsimiles (as well as some other material kept together with the facsimiles) in the Uppsala Etruscological Collection, which is part of the archive of Olof August Danielsson at the Uppsala University Library. The spreadsheet provides the identifier, type of facsimile, shelf-mark, epigraphic references, link to digitised facsimiles and two old reference schemes. The PDF document provides a detailed explanation of each column of the spreadsheet, as well as a bibliography of publications which have used the facsimiles, with the reference scheme used specified.
DOI: 10.6084/m9.figshare.24299311.v2
title: WaTEM/SEDEM_dynamic_EU

description: This data repository gives provides the input data to run a dynamic 15-day version of WaTEM/SEDEM. The data accompanies the code to implement an iterative run of the model and calibrate it to measured sediment load data, which can be found at: https://github.com/matfran/WaTEM_SEDEM_dynamic_EU<br>The corresponding manuscript can be found at:Francis Matthews, Panos Panagos, Arthur Fendrich, Gert Verstraeten,Testing a low-complexity spatially distributed model to simulate the intra-annual dynamics of soil erosion and sediment delivery,CATENA,Volume 257,2025,109054,ISSN 0341-8162,https://doi.org/10.1016/j.catena.2025.109054.(https://www.sciencedirect.com/science/article/pii/S034181622500356X)
DOI: 10.6084/m9.figshare.18665819.v1
title: Base de datos sobre "Reformas Electorales sobre Acceso a Medios de Comunicación en América Latina"

description: El Observatorio de Reformas Políticas en América Latina presenta la siguiente base de datos que contiene información sobre las reformas electorales sobre acceso a medios de comunicación en América Latina.
DOI: 10.6084/m9.figshare.29035556.v2
title: Web series Gender sample 2024.xlsx

description: A sample of 1724 web series released between 2012 and 2019 from Australia, Canada, France, the United Kingdom and the United States. For each web series title, the dataset records the number of female and male creatives working in creator / director, writer, producer and cinematographer roles. The sample is from a larger dataset of web series that combines a collection compiled by Joel Bassaget, and title lists provided by web series festivals in Melbourne, Marseilles, Toronto and Vancouver.
DOI: 10.6084/m9.figshare.7964420.v2
title: Supplementary material for the article: Genomic ecology of Marine Group II, the most common marine planktonic Archaea across the surface ocean by Olivier Pereira, Corentin Hochart, Jean Christophe Auguet, Didier Debroas, Pierre E. Galand (Microbiology Open)

description: Fasta file containing sequences from the kmer analysis.Excel file showing the supplementary Table S1-S6.<br>
DOI: 10.6084/m9.figshare.26485174.v4
title: QTL analysis of native Fusarium head blight and deoxynivalenol resistance in ‘D8006W’/‘Superior’, soft white winter wheat population

description: The genotyping of the D8006W/Superior winter wheat population was performed using the wheat 90K Infinium iSelect SNP array (Illumina, San Diego, CA, USA (Wang et al. 2014). The raw SNP data was filtered using Genome Studio V2011.1, and the final quality SNP marker was used for linkage map construction using MapDisto version 1.7.7. The dataset folder contained raw SNP data generated from the Illumina platform. The excel file contained the dataset for filtered SNP, linkage map, and phenotype data used in QTL analysis. Article associated with this dataset: Neupane et al. 2024 BMC Plant Biol https://doi.org/10.1186/s12870-024-05536-0
DOI: 10.17605/osf.io/5k7pv
title: Data for study "Precautionary Information and Personal Relevance"
DOI: 10.6084/m9.figshare.29146274.v1
title: 数据 .dta

description: <b>农村</b><b>作为</b><b>ctive aging as development strategy: Quantifying exercise's multidimensional poverty reduction effects</b>
DOI: 10.25381/cput.27635763.v1
title: IoT sensor calibration and LoRa communication resources

description: <br>This research explores designing, developing, and validating a Crop Monitoring and Irrigation System that seamlessly integrates IoT devices, cloud computing capabilities, and user-friendly interfaces. The system empowers farmers with real-time insights into soil conditions, crop health, and personalised recommendations for irrigation. This solution addresses significant agricultural challenges by conserving resources, reducing costs, and promoting sustainable farming practices.
DOI: 10.6084/m9.figshare.28901954.v1
title: Doc1.docx

description: The Infectious pancreatic necrosis virus (IPNV) belongs to the Birnaviridae family and the Aquabirnavirus genus, with salmonid fish as its primary host. Using vector-based shRNA molecules against the target genes has presented a new brand and effective therapeutic approach in using the RNAi pathway. Therefore, in the present study, the appropriate oligonucleotide sequence for encoding the gene of the generator gene of RNA polymerase of the IPNV virus was chosen, using the NCBI database. The designed shRNA structures were validated by online shRNA design software and further confirmed by blasting them against the fish genome in the NCBI database. Subsequently, shRNA oligonucleotides were synthesized and cloned into a lentiviral plasmid. Lentiviruses containing shRNA were produced in HEK 293T cells using a lentiviral packaging system. Following this, the lentivectors expressing shRNA were introduced into the CS2-2 cell line infected with the IPNV virus. The effectiveness of the designed shRNA molecules in suppressing the expression of the viral RNA polymerase gene was evaluated using the TCID<sub>50</sub> test. The results indicated a significant reduction in viral titer, up to 99.9%, suggesting the potential of shRNA as a defense tool against IPNV virus in cell culture applications. This study highlights the promising role of shRNA technology in combating viral infections, explicitly targeting IPNV in this context.
DOI: 10.25405/data.ncl.22093154.v1
title: Native chitosan LAL assay

description: Endotoxin quantification of native chitosan powder suspended in endotoxin free water determined by LAL assay. N=3
DOI: 10.6084/m9.figshare.24064530.v1
title: Global aboveground and belowground Net Primary Productivity grids with 0.05° resolution from 1981 to 2018 using the Deep Learning model

description: Net primary productivity (NPP) in global ecosystems is a critical component of terrestrial carbon cycling and an essential indicator of ecosystem carbon sequestration capacity. However, the size and spatial patterns of NPP across global ecosystems remain uncertain, particularly for the divided estimation of above- and below-ground net primary productivity (ANPP and BNPP), which limits our understanding of global NPP carbon cycling and the sustainability of carbon sequestration. Here, an updated database was compiled with 5,184 filed observations to estimate the spatial patterns of ANPP and BNPP using a modified multilayer perceptron neural network (MLP) method. Based on the 10-fold cross-validation,<i> </i>the model performance<i> </i>of ANPP and BNPP were 0.74 (<i>R</i><sup><em>2</em></sup><i>, RMSE</i>: 138.37 g C m<sup>-2</sup> yr<sup>-1</sup>) and 0.73 (<i>R</i><sup><em>2</em></sup><i>, RMSE</i>: 76.33 g C m<sup>-2</sup> yr<sup>-1</sup>), respectively. The total ANPP and BNPP were 33.4 ± 0.5 and 19.2 ± 0.73 Pg C yr<sup>-1</sup>, respectively. ANPP and BNPP exhibited decreasing trends from low latitudes toward the poles. Over the last 38 years, global 65.38% and 60.83% areas of the ANPP and BNPP showed a growth trend, and annual total ANPP and BNPP were significant positive growth trends (<i>p</i> &lt; 0.01), about 0.02 and 0.05 Pg C yr<sup>-1</sup>, respectively. Our findings suggest that field data-driven prediction of NPP using the MLP model could be a useful approach for obtaining spatially explicit NPP of ecosystems, particularly BNPP. This study contributes to the understanding of the dynamics of terrestrial carbon sequestration in the context of global change and may provide a new method and basis for making climate change response proposals.Filename: ANPP_MLP_1981_2018_0.05.zip; BNPP_MLP_1981_2018_0.05.zipFile information：‘ANPP_MLP_1981_2018_0.05.zip’ is the predicted global ANPP grid with 0.05° spatial resolution from 1981 to 2018; ‘BNPP_MLP_1981_2018_0.05.zip’ is the predicted global BNPP grid with 0.05° spatial resolution from 1981 to 2018. The unit for these data is 'g C m<sup>-2</sup><sup> </sup>a<sup>-1</sup>'. Besides, both zip files contain 38 grid images, and each grid image is named according to the following convention: 'data type' _ 'model type' _ 'year' _ 'spatial resolution'.tif. For example, the ANPP data for the year 1981 would be named:' ANPP_MLP_1981_0.05.tif'.<b>Corresponding author</b>: Xiaolu Tang (lxtt2010@163.com)
DOI: 10.6084/m9.figshare.26861077.v2
title: Multiomics dataset for "A multiomics dataset of paired CT image and plasma cell-free DNA end motif profiles for patients with pulmonary nodules"

description: multiomics dataset for "A multiomics dataset of paired CT image and plasma cell-free DNA end motif profiles for patients with pulmonary nodules"
DOI: 10.6084/m9.figshare.12047478.v2
title: A crop type dataset for consistent land cover classification in Central Asia

description: Land cover is a key variable in the context of climate change. In particular, crop type information is essential to understand the spatial distribution of water usage and anticipate the risk of water scarcity and the consequent danger of food insecurity. This applies to arid regions such as the Aral Sea Basin (ASB), Central Asia, where agriculture relies heavily on irrigation. Here, remote sensing is valuable to map crop types, but its quality depends on consistent ground-truth data. Yet, in the ASB, such data is missing. Addressing this issue, we collected thousands of polygons on crop types, 97.7% of which in Uzbekistan and the remaining in Tajikistan. We collected 8,196 samples between 2015 and 2018, 213 in 2011 and 26 in 2008. Our data compiles samples for 40 crop types and is dominated by “cotton” (40%) and “wheat”, (25%). These data were meticulously validated using expert knowledge and remote sensing data and relied on transferable, open-source workflows that will assure the consistency of future sampling campaigns.<br>
DOI: 10.6084/m9.figshare.21507837.v4
title: The BlueBio Project’s database

description: The BlueBio database is a comprehensive and robust compilation of international and national research projects active in the years 2003-2022 in Fisheries, Aquaculture, Seafood Processing and Marine Biotechnology. Based on the COFASP projects’ database, it was implemented within the ERA-NET Cofund BlueBio project through a 3-years data collection including 3 surveys (.xlsx file) and a wide data retrieval. After being integrated, data were harmonised, shared as open and disseminated through a WebGIS (<i>https://bluebioeconomy.eu/the-bluebio-projects-online-database/</i>). The WebGIS was key for data update and validation as users were enabled to add new projects and edit existing ones.The database consists of 3,761 “georeferenced” projects, described by 22 parameters that are clustered into textual and spatial, some directly collected while others deduced. The database is a living archive to inform actors of the Blue Bioeconomy sector in a period of rapid transformations and research needs. The selection of projects to be included in the database was based on a combination of keywords previously identified by database administrators within the title, abstract, and, when available, keywords.The complete BlueBio database information backup (.sql file) should be restored in Postgre SQL. Collected research projects are also presented in a more user friendly .csv file, along with the R code used for its extraction.As compared to the previous version, the database has been further enhanced by adding projects related to the years 2020-2022, as well as finalizing the harmonization of the data to achieve a more detailed and accurate allocation of projects.The related report MS37 refers on the results of a series of exploratory analyses aimed to describe the information contained in the BlueBio research projects’ database.<br>* corresponding author: Anna Nora Tassetti, annanora.tassetti@cnr.it
DOI: 10.6084/m9.figshare.28219913.v1
title: Sequence of a region of the VGSC gene from <i>Bruchus rufimanus</i>

description: A sequence of a region of the VGSC gene from <i>Bruchus rufimanus </i>that was utilised to design primers to amplify region with the possible L1014F mutation. The sequence had been obtained from a draft assembly of Illumina sequence data.
DOI: 10.6084/m9.figshare.13521509.v1
title: Covid Dataset 2

description: Second dataset containing segmented 9 axial, volumetric CTs from Radiopaedia. This dataset includes whole volumes and includes, therefore, both positive and negative slices (373 out of the total of 829 slices have been evaluated by a radiologist as positive and segmented). <br>These volumes are converted and normalized in a similar way as Dataset 1, but we have chosen not to resize these to 512×512. <br>
DOI: 10.6084/m9.figshare.5167540.v1
title: Python scripts

description: Includes all the python scripts that have been produced for the MCD