cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.7927/h4pg1ppm
title: Gridded Population of the World, Version 4 (GPWv4): Population Count, Revision 10
title: Population Count, v4.10 (2000, 2005, 2010, 2015, 2020)

description: The Gridded Population of the World, Version 4 (GPWv4): Population Count, Revision 10 consists of estimates of human population, consistent with national censuses and population registers, for the years 2000, 2005, 2010, 2015, and 2020. A proportional allocation gridding algorithm, utilizing approximately 12.5 million national and sub-national administrative units, is used to assign population values to 30 arc-second (~1 km) grid cells. The population count grids contain estimates of the number of persons per grid cell.
DOI: 10.15129/49adaba8-c05c-4e18-beca-18f052123984
title: Data for: "Optical pumping enhancement of a free-induction-decay magnetometer"

description: This dataset contains five Excel spreadsheets which represent data associated with the figures for the related manuscript, "Optical pumping enhancement of a free-induction-decay magnetometer".
DOI: 10.15156/bio/786337
title: Full mothur UNITE+INSD dataset 2

description: this dataset comprises of all quality filtered unclustered fungal UNITE + INSD sequences in mothur format.
description: This dataset comprises of all quality filtered unclustered fungal UNITE + INSD sequences in mothur format.
DOI: 10.15156/bio/sh0957477.10fu
title: SH0957477.10FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.15468/cskgr1
title: GRIIS Checklist of Introduced and Invasive Species - Mongolia

description: The Global Register of Introduced and Invasive Species (GRIIS) presents validated and verified checklists (inventories) of introduced (alien) and invasive alien species at the country level. Phase 1 of the project has focused on developing validated and verified checklists (inventories) of countries that are Party to the Convention on Biological Diversity. This annotated checklist (inventory) is of introduced (alien) and invasive alien species known to occur in Mongolia.
DOI: 10.17036/researchdata.aston.ac.uk.00000643
title: Data underpinning article "Record bandwidth waveband-shift-free optical phase conjugation in nonlinear fiber optical loop mirror"
DOI: 10.17632/xk443p7m7d.1
title: Improved analysis algorithms for structural and matrix methods

description: This dataset contains files with upgraded algorithms, created in MatLabR2021b. The algorithms are separately saved along with results for each model with different number of degrees of freedom. There are three .mlx files for each test sample. The "x_deg.mlx" files contain both algorithms in one file and show a comparison between results obtained with each method. "x_deg_mx.mlx" and "x_deg_struct.mlx" contain separated algorithms for matrix and structural number methods and were used to calculate the memory and execution times. The excel file contains aggregated data from the entire study.
DOI: 10.24432/c52028
title: Simulated Falls and Daily Living Activities Data Set
DOI: 10.25493/snwb-yqr
title: 3D reconstruction and analysis of four human brain cortex samples with two-photon fluorescence microscopy

description: Following the SWITCH/TDE tissue transformation method, a robust methodology to clear and label human brain tissue, we use Two-Photon Fluorescence Microscopy to acquire 4 samples of human brain cortex originating from subjects of different ages and health condition (young, adult and elderly, both healthy and pathological). Then, a 2.5D method based on Convolutional Neural Networks is applied to automatically segment individual neurons. The raw images acquired at the microscope and the resulting vectorial data in the form of 3D meshes are made available for further analysis (e.g. to quantitatively evaluate the density and, more importantly, the mean volume of the thousands of neurons identified within the specimens).
DOI: 10.3886/icpsr06499.v1
title: General Social Survey of the Russian Federation and Central Asia, October-December 1992
title: Version 1

description: This survey was conducted approximately one year after the coup against Gorbachev and the breakup of the Soviet Union. The purpose of the study, which queried respondents in the Russian Federation, Kyrgyzstan, Kazakhstan, and Uzbekistan, was to gather data on all aspects of social structure, social stratification, and distributive justice. Respondents provided information on their attitudes toward the news media, material status, work status and work history, social and political views, and participation in political activities. In addition, respondents were asked to comment on the role of women as well as on the role of government in daily life. Other variables addressed smoking and drinking, ownership of foreign and domestic products, use of mass media, confidence in institutions, and interest in politics. Demographic information gathered includes education, gender, ethnicity, age, and work history of the respondent and the respondent's family.
description: Adulterated probability sample.
description: Datasets: DS0: Study-Level Files DS1: Russian Data DS2: Central Asian Data
description: Permanent population of individuals aged 18 and over in the Russian Federation and (in a separate sample) of Kyrgyzstan, Kazakhstan, and Uzbekistan in October 1992.
description: (1) The codebook contains an English version of the data collection instrument. The instrument is also available in Russian, Kazakh, Uzbek, and Kyrgyz upon request. (2) ICPSR also distributes a related dataset, GENERAL SOCIAL SURVEY OF THE EUROPEAN USSR, 1991 (ICPSR 6500).
DOI: 10.48786/edbt.2023.51
title: Incremental Stream Query Merging
DOI: 10.5067/zog6bcse26hv
title: GLDAS VIC Land Surface Model L4 3 hourly 1.0 x 1.0 degree V2.1
DOI: 10.5258/soton/d2609
title: Dataset in support of the journal article 'Acoustic and plasma sensing of laser ablation via deep learning'

description: This dataset contains: Figure_1.png Figure_2.png Figure_3.png Figure_4.png Figure_4.txt Figure_5.png Figure_6.png The figures are as follows: Figure_1.png Schematic of the experimental setup and corresponding examples of experimentally collected images and acoustic spectra occurring during the time period when a single laser pulse is incident on the target sample. Figure_2.png Concept diagram of the application of the four neural networks used in this work, showing the use of plasma images and acoustic spectra for predicting the laser pulse energy and for predictive visualization of the appearance of the laser ablated samples. Figure_3.png Schematic of the architectures for the (a) CNN and (b) cGAN used for this work. Figure_4.png Actual and predicted pulse energy for test images associated with (a) plasma images and (b) acoustic spectra. Figure_4.txt Data for Actual and predicted pulse energy for test images associated with (a) plasma images and (b) acoustic spectra. Figure_5.png Examples of activation intensity for (a) plasma images and (b) acoustic spectra sent through their respective neural network dropout layer. Figure_6.png Generated images and actual images of laser ablated surface for (a) plasma images and (b) acoustic spectra from different laser pulse energies.
DOI: 10.5281/zenodo.10011739
title: InterProScan domain annotation on non-PKZILLA polypeptides

description: This is a .zip archive of the git repository and Nextflow workflow used for annotation of the non-PKZILLA protein domains (rest of proteome) using InterProScan. In brief, all possible InterProScan searches were performed via the latest InterProScan Docker container, with post-processing to remove certain redundant and overlapping PKS domain annotations. For further details, see archived files and code, and manuscript Materials and Methods.
The Nextflow ./work directory is not included to reduce complexity. Nextflow published results are available in ./results . 
See also: https://doi.org/10.5281/zenodo.10023460 for analogous predictions but for all the PKZILLA proteins from Prymnesium parvum 12B1. 
Key files:

./run.sh entry script for running InterProScan
GFF3 file of InterProScan features, after post processing: './results/do_simple_nonparallel_scan:gff_nested_filter/filtered/ipr_merged.gff'
DOI: 10.5281/zenodo.10023460
title: InterProScan domain annotation of PKZILLA polypeptides

description: This is a .zip archive of the git repository and Nextflow workflow used for annotation of the PKZILLA protein domains using InterProScan. In brief, all possible InterProScan searches were performed via the latest InterProScan Docker container, with post-processing to remove certain redundant and overlapping PKS domain annotations. For further details, see archived files and code, and manuscript Materials and Methods.
The Nextflow ./work directory is not included to reduce complexity. Nextflow published results are available in ./results . 
See also: https://doi.org/10.5281/zenodo.10011739 , for analogous predictions but for all the non-PKZILLA annotated proteins from Prymnesium parvum 12B1. 
Key files:

./run.sh entry script for running InterProScan on PKZILLA-1,-2,-3
GFF3 file of InterProScan features, after post processing: './results/gff_nested_filter/filtered/ipr_merged.gff'
PDF of all features on PKZILLA-1, unnormalized length: './results/pdf_2_PDF_A_1B/output/PKZILLA-1.gff.dfv.svg.pdf'
PDF of all features on PKZILLA-2, unnormalized length: './results/pdf_2_PDF_A_1B/output/PKZILLA-2.gff.dfv.svg.pdf'
PDF of all features on PKZILLA-3, unnormalized length: './results/pdf_2_PDF_A_1B/output/PKZILLA-2.gff.dfv.svg.pdf'
./run2.sh entry script for performing a "beads on a string" figure generation, where representative domains are selected and length normalized.
PDF of selected diagnostic PKS domain features on PKZILLA-1 with normalized length: './results/beads_on_string:svg_2_pdf/1_PKZILLA-1.gff.dfv.svg_2_PKZILLA-1.gff.dfv.svg_3_PKZILLA-1.gff.dfv.svg_4_PKZILLA-1.gff.dfv.svg_5_PKZILLA-1.gff.dfv.svg_compose.svg.pdf'
PDF of selected diagnostic PKS domain features on PKZILLA-2 with normalized length: '/results/beads_on_string:svg_2_pdf/1_PKZILLA-2.gff.dfv.svg_2_PKZILLA-2.gff.dfv.svg_3_PKZILLA-2.gff.dfv.svg_4_PKZILLA-2.gff.dfv.svg_compose.svg.pdf'
PDF of selected diagnostic PKS domain features on PKZILLA-3 with normalized length: '/results/beads_on_string:svg_2_pdf/1_PKZILLA-3.gff.dfv.svg_2_PKZILLA-3.gff.dfv.svg_3_PKZILLA-3.gff.dfv.svg_compose.svg.pdf'
DOI: 10.5281/zenodo.10093617
title: Non-length-normalized graphical plots of the PKZILLA domains, modules, cDUFs, and exon extents

description: Jupyter notebooks and source files responsible for creating the non-length-normalized graphical plots of the PKZILLA domains, modules, cDUFs, and exon extents on the PKZILLA polypeptides.
DOI: 10.5281/zenodo.10120640
title: Scripts, data, and analyses for extending flavoprotein (FLX) domains C-terminally to form extended FLX domains (eFLX) & performing structural predictions & alignments using AlphaFold2, RoseTTAFold, FoldSeek, and DALI

description: See associated manuscript for more details. 
To capture unannotated regions of the FLX domains for structural modeling, an extended flavin oxygenase domain (eFLX) was annotated by extending the C-terminus of the G3DSA:3.50.50.60 InterProScan FLX annotation to the N-terminus of the downstream annotation, using bedtools closest [1] and awk. Next, the annotation was expanded by 50 residues both upstream and downstream to account for potential inaccuracy in the domain annotations. The peptide FASTA representation of these eFLX domains were extracted, and subjected to 3D modelling using RoseTTAFold via the Robetta server [2], and AlphaFold2 (ColabFold v1.5.2-patch: AlphaFold2 using MMseqs2) using the ColabFold Google Collaboratory notebooks [3], [4]. After modeling, the rank 1 model and model 1 model from AlphaFold2 and RoseTTAFold, respectively, were used for structural similarity searches with FoldSeek via the FoldSeek server [5]. The DALI webserver was used for the structural similarity search to establish structural homology [6]. 
[1]        A. R. Quinlan and I. M. Hall, "BEDTools: a flexible suite of utilities for comparing genomic features," Bioinformatics, vol. 26, no. 6, pp. 841–842, Mar. 2010, doi: 10.1093/bioinformatics/btq033.
[2]        M. Baek et al., "Accurate prediction of protein structures and interactions using a three-track neural network," Science, Jul. 2021, doi: 10.1126/science.abj8754.
[3]        M. Mirdita, K. Schütze, Y. Moriwaki, L. Heo, S. Ovchinnikov, and M. Steinegger, "ColabFold: making protein folding accessible to all," Nat. Methods, vol. 19, no. 6, Art. no. 6, Jun. 2022, doi: 10.1038/s41592-022-01488-1.
[4]        J. Jumper et al., "Highly accurate protein structure prediction with AlphaFold," Nature, pp. 1–11, Jul. 2021, doi: 10.1038/s41586-021-03819-2.
[5]        M. van Kempen et al., "Fast and accurate protein structure search with Foldseek," Nat. Biotechnol., pp. 1–4, May 2023, doi: 10.1038/s41587-023-01773-0.
[6]        L. Holm, A. Laiho, P. Törönen, and M. Salgado, "DALI shines a light on remote homologs: One hundred discoveries," Protein Sci., vol. 32, no. 1, p. e4519, 2023, doi: 10.1002/pro.4519.
DOI: 10.5281/zenodo.10527122
title: GANDER: a Platform for Exploration of Gaze-driven Assistance in Code Review - Supplementary Material

description: Supplementary material for the paper "GANDER: a Platform for Exploration of Gaze-driven Assistance in Code Review"
DOI: 10.5281/zenodo.11080740
title: Dataset of chemicals of emerging concern detected in the marine environment in central and northern Patagonia in Chile

description: This repository encompasses the environmental concentrations of chemicals of emerging concern (CECs), such as pesticides, pharmaceuticals, and industrial chemicals, co-occurring in surface water, porewater, and sediment throughout central and northern Patagonia, Chile.
DOI: 10.5281/zenodo.11642494
title: Annotated Dataset for Bilingual Code-Mixed English-Malay Sentiment Analysis and Sarcasm Detection in Public Security Domain

description: Tweets from X, and post with comment from TikTok was acquired from 11 September until 21 September 2022. Data from both platforms was merged and selected. Three annotators manually labelling the selected data for sentiment and sarcasm. Sentiment labels are ‘positive’, ‘negative’, and ‘neutral’. Sarcasm label is ‘sarcastic’ and ‘not sarcastic’. Majority voting is considered for each label. Language identification label produced for each data.
DOI: 10.5281/zenodo.12599247
title: SSRA and Human Behaviour Study - Associated Raw Data and Scripts

description: We are releasing the final version of this dataset containing source data and scripts for a paper concerning an SSRA drug and human behaviour.

V4 -> V5 - Fixed minor issues following editorial feedback.

For any questions, please contain Michael Colwell (michaelcolwell92@gmail.com / michael.colwell@psych.ox.ac.uk).
DOI: 10.5281/zenodo.12746246
title: Naturally occurring horse model of miscarriage reveals temporal relationship between chromosomal aberration type and point of lethality

description: Released .idata files, sample metadata and array manifest file for the paper "Naturally occurring horse model of miscarriage reveals temporal relationship between chromosomal aberration type and point of lethality"
DOI: 10.5281/zenodo.3955181
title: Technology Achievement Index Dataset for 179 Nations (2000-2018)

description: <strong>About Technology Achievement Index </strong><br> Technology Achievement Index (TAI) is originally purposed by Desai et al.(2002) to quantify technological progress of 72 countries.(TAI-02)<br> https://doi.org/10.1080/14649880120105399 While this dataset is calculated based on my modified method (TAI-20)<br> The index measures four dimensions which are listed in followings with the metrics used, respectively. <strong>1. Human Skill Development</strong><br> derived from [Labor Force / 100 people] and [School Enrolment, Tertiary (% Gross)] <strong>2. Creation of New Technology</strong><br> derived from [Scientific and Technical Journal Articles] and [Patent Applications, Residents + Non-Residents] <strong>3. Diffusion of Old Technology</strong><br> derived from [Access to Electricity (% of Population)] and [Telephone + Cellular Subscribers / 100 people] <strong>4. Diffusion of New Technology</strong><br> derived from [Individuals using the Internet (% of Population)] and [High-technology exports (% of manufactured exports)] <strong>Published dataset includes the consolidated overall index and it’s sub-categories in time-series.</strong><br> <strong>Chronological Span: </strong>2000-2018<br> <strong>Data Coverage: </strong>179 nations<br> <strong>Data Format: </strong>.csv files
DOI: 10.5281/zenodo.3998435
title: AI-Derived West Nile Virus Determinants Maps - 2018 Europe - Data

description: Data for AI-Derived West Nile Virus Determinants Maps 2018 Europe Original (nominal value) data SHAP-derived effect data
DOI: 10.5281/zenodo.6619212
title: CryoGridLite: Model input for pan-Arctic simulations at 1° resolution from 1700 to 2020

description: <strong>CryoGridLite</strong> is a lightweight version of the more complex and process-rich <strong>CryoGrid Community model</strong> (Westermann et al. 2022). This archive contains the following input datasets which are required to run the model. <code>./FORCING.zip</code> The meteorological forcing data.<br> <code>./PARA.zip</code> Parameter files describing the ground stratigraphies etc. The model code can be found here: 10.5281/zenodo.6619537 Output data of pan-Arctic simulations can be found here: 10.5281/zenodo.6619260
DOI: 10.5281/zenodo.6948626
title: Magnitude and determinants of road traffic accidents in North Gondar Zone, Amhara Region, Ethiopia

description: Number and types of a road traffic accidents in relation to road and road user, environmental and time related and vehicle related factors
DOI: 10.5291/ill-data.3-14-392
title: Diamond nanoparticles in nanoparticle-polymer composite neutron diffraction gratings
DOI: 10.5291/ill-data.3-14-433
title: Investigation of the diffraction properties of holographic optical elements for cold neutrons
DOI: 10.6073/pasta/b2c1e241c475367119eeba012009ea64
title: PBB01 Belowground Plot Experiment: Aboveground net primary productivity of tallgrass prairie based on accumulated plant biomass

description: To address the potential interactive effects of fire, aboveground biomass removal, and nutrient amendments on above- and belowground responses, a long-term field experiment was initiated in 1986 as part of the Konza Prairie Long-Term Ecological Research (LTER) program. The general goals of this experiment are: 1) to document both short- and long-term responses of plants and soils to fire, aboveground biomass removal (a surrogate for grazing in these small plots), and nutrient amendments (additions of N and/or P); and 2) to provide a better understanding of the mechanisms underlying tallgrass prairie responses to fire, aboveground biomass removal and nutrient enrichment. Peak foliage biomass is measured annually in late fall (September to October) on the 64 belowground plots. Effects of burning, mowing and N + P additions on aboveground NPP are measured. Two 0.1m2 quadrats harvested per plot). 2003 was the last year the mowing treatment was implemented.
DOI: 10.6084/m9.figshare.23932872
title: Real-timing processing of fiber bundle endomicroscopy images in Python using PyFibreBundle: data and code

description: This dataset contains raw images and python scripts used to generate figures from the paper:<b>"Real-timing processing of fiber bundle endomicroscopy images in Python using PyFibreBundle".</b>This paper describes and evaluates the Python package PyFibreBundle which provides a toolkit for working with images captured through fibre imaging bundles. An archived copy of PyFibreBundle Release 1.3.4 is included here to allow for exact replication of the results in the paper. However, if you are intending to use PyFibreBundle for other purposes, please download the most up-to-date version from: https://github.com/MikeHughesKent/PyFibreBundle. Here you will also find examples, tests and installation instructions.Within the repository, scripts and data used to generate the figures and timings from the paper are in the 'paper' folder. The 'src' folder contains the archived copy of PyFiberBundle Release 1.3.4. A copy of the documentation for this release of PyFibreBundle is in the 'docs' folder; to read this open 'docs\build\html\index.html' in a web browser. The up-to-date documentation can also be found at: https://pyfibrebundle.readthedocs.io/If making use of the code, please (1) reference the paper and (2) provide a link to the the latest version of PyFibreBundle. If you would like to collaborate on using this code, please get in touch.<br>
DOI: 10.6084/m9.figshare.24466951
title: Supplementary Material for: Expression analyses of C-terminal-binding protein 1 (CtBP1) during mouse brain development

description: Introduction: CtBP1 (C-terminal-binding protein 1) is a multi-functional protein with well-established roles as a transcriptional co-repressor in the nucleus and a regulator of membrane fission in the cytoplasm. Although CtBP1 gene abnormalities have been reported to cause neurodevelopmental disorders, the physiological role and expression profile of CtBP1 remains to be elucidated. Methods: In this study, we used biochemical, immunohistochemical and immunofluorescence methods to analyze the expression of CtBP1 during mouse brain development. Results: Western blotting analyses revealed that CtBP1 appeared to be expressed mainly in the central nervous system throughout the developmental process. In immunohistochemical analyses, region-specific nuclear as well as weak cytoplasmic distribution of CtBP1 was observed in telencephalon at embryonic day (E)15 and E17. It is of note that CtBP1 was barely detected in axons, but observed in the nucleus of oligodendrocytes in the white matter at E17. As to cerebellum at postnatal day 30, CtBP1 appeared to be expressed in the nucleus and cytoplasm of Purkinje cells, the nucleus of granule cells and cells in the molecular layer (ML), and the ML per se where granule cell axons and Purkinje cell dendrites are enriched. In addition, CtBP1 was detected in the cerebellar nuclei. Conclusion: The obtained results suggest involvement of CtBP1 in brain function.
DOI: 10.6084/m9.figshare.24792693.v1
title: RF for IDC and ILC-F1000

description: Among women, breast cancer(BC) is one of the main causes of cancer-related mortality. For clinical management to help patients survive longer and spend less on treatment, early and precise cancer identification and differentiation of lesions of the breast are crucial. To investigate the accuracy of radiomic features (RF) extracted from Dynamic Contrast Enhanced (DCE) MRI for differentiation of Invasive ductal carcinoma (IDC) and Invasive lobular carcinoma (ILC).
DOI: 10.6084/m9.figshare.24932583
title: fashion_MCF_QPI_dataset.tar

description: Training dataset for quantitative phase imaging through a multi-core fiber bundle.
DOI: 10.6084/m9.figshare.24932604
title: MCF_speckle_digits.tar

description: Training dataset for quantitative phase imaging through a multi-core fiber bundle.