cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.17632/zkf3s3gwvg
title: Multi-layer cloud detection and distributions over the Asia–Pacific region based on geostationary satellite imagers

description: This study improved a threshold algorithm for detecting ice-over-water multi-layer (ML) clouds using geostationary satellites. The optimal thresholds were established by the Advanced Himawari Imager (AHI) and the Advanced Geostationary Radiation Imager (AGRI) spectral characteristics, respectively. Validation with collocated space radar (CloudSat Cloud Profiling Radar, CPR) and lidar (Cloud-Aerosol Lidar with Orthogonal Polarization, CALIOP) measurements. The ML clouds inferred by AHI and AGRI exhibited similar annual distributions. Furthermore, hourly AHI observations over six years detected obvious monthly and daily variations in ice-over-water clouds over the Asia–Pacific region. The specific descriptions of the data are as follows:
Datasets(“fig1”): AHI and AGRI cloud classification results and the CPR- CALIOP cloud vertical distribution observations. It is a case study of ML cloud detection to verify the accuracy of the detection results. Datasets(“fig2”): statistical percentages of ice, Pro ML, and ML clouds identified by AHI and AGRI compared with CPR- CALIOP products. Datasets(“fig3”): the percentages of AHI and AGRI cloud occurrence frequencies, including ice-over-water cloud, ice cloud, water cloud, total cloud occurrence frequency. Datasets(“fig4”): Zonal and meridional occurrence frequency distributions of ice-over-water, ice, water, and total clouds. Datasets(“fig5-6”): ice-over-water cloud occurrence frequency distributions and anomalies for each month derived from the AHI for the 2017–2022 period. Datasets(“fig7”): mean percentage of ice-over-water cloud occurrence frequency for each month for 2017–2022. Datasets(“fig8”): average occurrence frequency of six time zones (UTC+06 to UTC+11) in the Northern and Southern Hemispheres across the four seasons. Datasets(“fig9-10”): anomalies of ice-over-water cloud occurrence frequency from UTC+06 to UTC+11 LST in the Northern and Southern Hemisphere from 2017 to 2022.
DOI: 10.3535/aml-wln-j8y
title: Gneiss

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.3535/m05-ke8-n30
title: Conglomerate

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.6084/m9.figshare.11882424.v1
title: Database-upload.xlsx

description: Manuscript database (Mol Ecol)
DOI: 10.17632/7gpy9yc8wc
title: LINF_050016000

description: Legume-like lectin family; Leishmania infantum (strain JPCM5)
DOI: 10.17632/b34b55nb3w
title: Smart Contract Languages: A Multivocal Mapping Study

description: These are the data sources for our mapping study. They are distributed in diferent folders
* results: contains the StArt database, the report generated by the StArt tool, and a statistics file with cleaned data and the different graphics generated.
* searches: Contains the BibTex and/or RIS files with the results of the searches executed in the different digital libraries. It also contains the files corresponding to the backwards snowballing process.
* selected-studies: Contains the BibTeX files corresponding to the selected primary studies we have used as sources for our multivocal mapping study. It should be stated that as we have reviewed, both white and grey literature, we include two bib files: selectedPrimaryStudies.bib, corresponding to the academic, formal selected studies, and selectedGreyLiterature.bib, which includes the grey literature primary studies.
DOI: 10.3535/bgb-qmz-7k0
title: Gneiss

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.3535/cd1-ede-krt
title: Conglomerate

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.17632/tjs5r4tp6s
title: ORAL HYGIENE HABITS IN COMPLETE DENTURE WEARERS

description: Research about ORAL HYGIENE HABITS IN COMPLETE DENTURE WEARERS
DOI: 10.25582/data.2024-03.3078987/2541114
title: Data for EMSL Project 51287 from March 2024
DOI: 10.3535/9jg-ns9-bjk
title: Granite

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.3535/9t7-4x7-12y
title: Magnetite

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.3535/1hs-xz9-rqz
title: Pyrite

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.3535/zqe-a1n-b0h
title: Pinite

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.3535/1sj-0e2-mar
title: Orthoclase

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.3535/3t2-fz3-dm8
title: Pyrite

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.25582/data.2024-03.3078988/2541115
title: Data for EMSL Project 51287 from March 2024
DOI: 10.3535/q2z-m1f-d19
title: Gneiss

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.3535/fpt-75j-vn1
title: Nucula Lamarck, 1799

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.3535/r2e-4n8-rfv
title: Pteria Scopoli, 1777

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.3535/5ll-pdk-x1c
title: Arthropoda

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.3535/zfw-bda-59s
title: Thiara Röding, 1798

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.17632/kxww5smh3k
title: Data for: Genesis and geodynamic process of early Cretaceous Intermediate-acidic batholith within the Chem Co zone, western Qiangtang and its constrain to Bangong Meso-Tethys subduction

description: Zircon U-Pb, mica Ar-Ar age, whole rock geochemistry and Hf isotopic data acquired by SHRIMP methods for the Cretaceous Chem Co pluton
DOI: 10.25582/data.2024-03.3078989/2541116
title: Data for EMSL Project 51287 from March 2024
DOI: 10.3535/5x3-ybm-6r5
title: †Zygospira modesta (Say in Hall, 1847)

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.3535/7h4-9wk-9h4
title: Gastropoda Cuvier, 1795

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.3535/0w4-c62-h20
title: Galena

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.3535/djz-an5-22n
title: †Tremanotus J. Hall, 1865

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.3535/s0t-nk4-pjg
title: †Hippocardia T. Brown, 1843

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.3535/wkj-046-7lb
title: Specimen from Tallinn University of Technology

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.6084/m9.figshare.6886721.v1
title: Dataset RCT (anonymised)

description: Main Dataset of RCT, identifying information removed.
DOI: 10.17632/ktmddsb3tv
title: Collrad: A code for calculating the quasi-steady state population densities of excited states of hydrogen-like ions

description: Title of program: COLLRAD Catalogue Id: AAID_v1_0 Nature of problem The evaluation of the population densities of the lower quantum states of a plasma ion, in general, involves the simultaneous solution of the rate equations (one for each quantum state) containing the rates of the various collisional and radiative processes which polulate and depopulate each quantum state. The time independent case where quasi- steady state equilibrium is established has been considered. Versions of this program held in the CPC repository in Mendeley Data AAID_v1_0; COLLRAD; 10.1016/0010-4655(76)90069-2 This program has been imported from the CPC Program Library held at Queen's University Belfast (1969-2018)
DOI: 10.25582/data.2024-03.3078991/2541117
title: Data for EMSL Project 51287 from March 2024
DOI: 10.3535/eya-k83-44b
title: Ellypsocephalus hoffi Schlotheim

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.3535/slk-epf-7ty
title: †Zygospira modesta (Say in Hall, 1847)

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.6084/m9.figshare.1368051.v1
title: Proflavine-stained cells (CAL 27 - oral cancer cell line)

description: Oral carcinoma cell line. (ATCC CRL-2095, ATCC, Manassas, VA), cultured in DMEM media supplemented with 10% fetal bovine serum (ATCC, Manassas, VA) and 1% Penicillin-Streptomycin (Life Technologies, Grand Island, NY) and incubated at 37C in 5% CO2. The cells were utilized up to passage number four. Before staining, the cells were trypsinized with 0.25% Trypsin-EDTA (Life<br>Technologies, Grand Island, NY). Stained with proflavine to final concentration of 0.01% (w/v) in PBS.
DOI: 10.6084/m9.figshare.5665063
title: A new geodemographic classification of commuting flows for England and Wales

description: This paper aims to contribute to the area of geodemographic research through the development of a new and novel flow-based classification of commuting for England and Wales. In doing so, it applies an approach to the analysis of commuting in which origin-destination flow-data, collected as part of the 2011 census of England and Wales, are segmented into groups based on shared similarities across multiple demographic and socioeconomic attributes. <i>k</i>-Means clustering was applied to 49 flow-based commuter variables for 513,892 interactions that captured 18.4 million of the 26.5 million workers recorded as part of the 2011 census of England and Wales. The final classification resulted in an upper-tier of nine ‘Supergroups’ which were subsequently partitioned to derive a lower-tier of 40 ‘Groups’. A nomenclature was developed and associated pen portraits derived to provide basic signposting to the dominant characteristics of each cluster. Analysis of a selection of patterns underlying the ninefold Supergroup configuration revealed a highly variegated structure of commuting in England and Wales. The classification has potentially wide-ranging descriptive and analytical applications within research and policy domains and the approach would be equally transferable to other countries and contexts where origin-destination data are disaggregated based on commuter characteristics.
DOI: 10.17632/hwwvksbb75
title: A Python tool for parameter estimation of “black box” macro- and micro-kinetic models with Bayesian optimization – petBOA

description: We develop an open-source Python-based Parameter Estimation Tool utilizing Bayesian Optimization (petBOA) with a unique wrapper interface for gradient-free parameter estimation of expensive black-box kinetic models. We provide examples for Python macrokinetic and microkinetic modeling (MKM) tools, such as Cantera and OpenMKM. petBOA leverages surrogate Gaussian processes to approximate and minimize the objective function designed for parameter estimation. Bayesian Optimization (BO) is implemented using the open-source BoTorch toolkit. petBOA employs local and global sensitivity analyses to identify important parameters optimized against experimental data, and leverages pMuTT for consistent kinetic and thermodynamic parameters while perturbing species binding energies within the typical error of conventional DFT exchange-correlation functionals (20-30 kJ/mol). The source code and documentation are hosted on GitHub.
DOI: 10.17632/mc2rxtzk4n
title: Surface soil hydraulic and physical properties measured in establishing native woodland and grazed pasture plots in Dartmoor National Park, southwest England.

description: Data collected during late summer, autumn and winter 2018 and spring 2019. Available are measurements of hydrological (Ksat, initial infiltration, wetness threshold and soil moisture ) and physical (surface compaction, bulk density, soil organic matter, macroporosity and small stone fraction) soil properties in native woodland and pasture plots across the four study sites. Also included are pictures taken during accompanying soil assessments.
DOI: 10.3535/j2l-0tq-l9k
title: Trinucleus

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.3535/ldl-zqj-7vd
title: Acidaspis

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.3535/afs-8w0-p8g
title: Arthropoda

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.3535/z3x-p0v-zh2
title: Specimen from Tallinn University of Technology

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.17632/twnmp5vmhz
title: POTHEA: A program for computing eigenvalues and eigenfunctions and their first derivatives with respect to the parameter of the parametric self-adjoined 2D elliptic partial differential equation

description: Abstract A FORTRAN 77 program is presented for calculating with the given accuracy eigenvalues, surface eigenfunctions and their first derivatives with respect to a parameter of the parametric self-adjoined 2D elliptic partial differential equation with the Dirichlet and/or Neumann type boundary conditions on a finite two-dimensional region. The program calculates also potential matrix elements that are integrals of the products of the surface eigenfunctions and/or the first derivatives of the surface... Title of program: POTHEA Catalogue Id: AESX_v1_0 Nature of problem Solutions of boundary value problems (BVPs) for the elliptic partial differential equations (PDEs) of the Schrödinger type find wide application in molecular, atomic and nuclear physics, for example, in three-dimensional tunneling of a diatomic molecule incident upon a potential barrier, fission model of collision of heavy ions, fragmentation of light nuclei, a hydrogen atom in magnetic field, photoionization of helium like atoms, one photon ionization of atoms, electron-impact ionization of mol ... Versions of this program held in the CPC repository in Mendeley Data AESX_v1_0; POTHEA; 10.1016/j.cpc.2014.04.014 This program has been imported from the CPC Program Library held at Queen's University Belfast (1969-2018)
DOI: 10.25582/data.2024-03.3078992/2541118
title: Data for EMSL Project 51287 from March 2024
DOI: 10.3535/ggy-7kq-8dd
title: †Pseudobasilicus nobilis (Barrande, 1846)

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.3535/hys-z6g-8gg
title: †Hippocardia T. Brown, 1843

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.3535/x67-n5e-mnt
title: †Zygospira modesta (Say in Hall, 1847)

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.6084/m9.figshare.7035152.v1
title: 1. China's 2010–2017 emissions by sector

description: The species presented here include SO<sub>2</sub>, NO<sub>x</sub>, NMVOC, NH<sub>3</sub>, CO, TSP, PM<sub>10</sub>, PM<sub>2.5</sub>, BC, OC, and CO<sub>2</sub>. China emissions are divided into six source sectors: power, industry, residential, transportation, agriculture, and solvent use. Besides the actual emissions data, two emission scenarios are presented to provide emission trajectories assuming activity or pollution control frozen at 2010 levels.
DOI: 10.3535/v1a-axn-tcj
title: †Subulites Emmons, 1842

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.6084/m9.figshare.3560325.v1
title: Appendix B. Survey map and phenological model summaries.

description: Survey map and phenological model summaries.
DOI: 10.17632/ds235n9sj7
title: Geodynamic Evolution of the Proto-Tethys Ocean in the West Kunlun Orogenic Belt, NW Tibet: Implications from the Sub-Arc Crust and Lithospheric Mantle Modification

description: Geodynamic Evolution of the Proto-Tethys Ocean in the West Kunlun Orogenic Belt
DOI: 10.3535/6pa-ssq-hpg
title: Arthropoda

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.3535/kc0-2mw-6n5
title: Pharyngolepis sp.

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.17632/883bp89my8
title: FACT Mediates the Depletion of macroH2A1.2 to Expedite Gene Transcription

description: The histone variant macroH2A is generally linked to transcriptionally inactive chromatin, but how macroH2A regulates the chromatin structure and functions in transcriptional process remains elusive. This study reveals that while the integration of macroH2A1.2 into nucleosomes does not affect their stability or folding dynamics, it notably hinders the maintenance function of FACT. We show that FACT effectively diminishes the stability of macroH2A1.2-nucleosomes and expedites their depletion subsequent to the initial unfolding process. Furthermore, we identify the residue S139 in macroH2A1.2 as a critical switch to modulate the FACT’s function in nucleosome maintenance. Genome-wide analyses demonstrate that FACT-mediated depletion of macroH2A-nucleosome allows the correct localization of macroH2A, while the S139 mutation reshapes macroH2A distribution and influences the stimulation-induced transcription and cellular response in macrophage. Our findings provide mechanistic insights into the intricate interplay between macroH2A and FACT at the nucleosome level, and elucidate their collective role in transcriptional regulation and immune response of macrophage.
DOI: 10.17632/s49pfyhjmr
title: Pona fish

description: *Project Title:* Good and Bad Classification of Pona Fish (Rohu Fish) Using Xiaomi 11i Mobile Camera

*Description:*

This project, titled "Good and Bad Classification of Pona Fish (Rohu Fish)," is designed to develop an image classification system that distinguishes between healthy (good) and unhealthy (bad) Rohu fish. The dataset consists of over 500 images, evenly distributed between good and bad samples. All images were captured using a Xiaomi 11i mobile camera, providing high-resolution visual data. The fish were photographed against a black background in daylight conditions to ensure consistency and clarity, making the dataset well-suited for machine learning applications.

*Dataset Composition:*

- *Good Samples (Healthy):* The dataset includes more than 250 images of healthy Rohu fish. These images depict fish with vibrant, unblemished scales, clear eyes, and overall robust physical condition. The good samples serve as positive examples for training the classification model, representing the desirable state of the fish.

- *Bad Samples (Unhealthy):* The dataset also contains over 250 images of unhealthy Rohu fish. These fish may show signs of disease, physical deformities, discoloration, or damage, indicating poor health. These images form the negative class, essential for teaching the model to recognize undesirable conditions.

*Data Collection Setup:*

Images were captured using the Xiaomi 11i mobile camera, chosen for its high-quality imaging capabilities. The use of a black background was a strategic choice to create a stark contrast with the fish, highlighting the fish's features and reducing distractions from the surrounding environment. Daylight conditions were used to maintain consistent and natural lighting, which is crucial for capturing the true color and texture of the fish.

*Image Characteristics:*

The images in the dataset vary in terms of fish size, coloration, and health status, providing a comprehensive representation of Rohu fish under different conditions. This diversity ensures that the classification model can generalize well across different scenarios and accurately identify the health status of the fish.

*Data Annotation:*

Each image in the dataset is carefully annotated as either "good" or "bad" based on the health condition of the fish. These annotations serve as the ground truth for training the machine learning model, ensuring that it learns to differentiate between healthy and unhealthy fish accurately.

*Data Preprocessing:*

Before feeding the data into the model, several preprocessing steps are applied:
- *Resizing:* Images are resized to a standard dimension to ensure across the dataset.
- *Normalization:* Pixel values are normalized to bring consistency and enhance the learning process of the model.
- *Data Augmentation:* Techniques such as rotation, flipping, and scaling are applied to the images to increase the dataset’s variability, improving the model's ability to generalize to new, unseen data.
DOI: 10.25582/data.2024-03.3078994/2541119
title: Data for EMSL Project 51287 from March 2024
DOI: 10.3535/knk-wpf-tn4
title: †Zygospira modesta (Say in Hall, 1847)

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.3535/kwk-xwn-b91
title: Specimen from Tallinn University of Technology

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.6084/m9.figshare.22725704.v1
title: Male Interview Transcripts

description: Interview Transcripts of 12 male participants in my research study exploring their perceptions of romance and the dating culture.
DOI: 10.17632/7gc9rk6kby
title: Computer algebra solving of second order ODEs using symmetry methods

description: Abstract An update of the ODEtools Maple package, for the analytical solving of 1st and 2nd order ODEs using Lie group symmetry methods, is presented. The set of routines includes an ODE-solver and user-level commands realizing most of the relevant steps of the symmetry scheme. The package also includes commands for testing the returned results, and for classifying 1st and 2nd order ODEs. Title of program: ODEtools Catalogue Id: ADFP_v2_0 [ADHH] Nature of problem Analytical solving of first and second order ordinary differential equations using symmetry methods, and the inverse problem; that is, given a set of point and/or dynamical symmetries, to find the most general invariant first or second order ODE. Versions of this program held in the CPC repository in Mendeley Data ADFP_v1_0; ODEtools; 10.1016/S0010-4655(97)00018-0 ADFP_v2_0; ODEtools; 10.1016/S0010-4655(97)00132-X This program has been imported from the CPC Program Library held at Queen's University Belfast (1969-2019)
DOI: 10.3535/paj-6t7-fnm
title: †Zygospira modesta (Say in Hall, 1847)

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.3535/ybw-243-vnz
title: †Dalmanitina socialis (Barrande, 1846)

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.17632/kffynfynpy
title: Arctostaphylos Seed Banks

description: Files represent number of seeds in soil seed banks for ten Arctostaphylos (Ericaceae) species from California's Mediterranean Climate. ReadMe file explains the data. One file is seed bank data; the second file is measurements of fruit size used to analyze the data.
DOI: 10.17632/ynmympptmy
title: Clip #2

description: Road footage recorded using Logitech C525 webcam on Perodua Kancil 660 EX.
DOI: 10.3535/7ps-vx1-2ww
title: Gastropoda Cuvier, 1795

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.3535/ep1-l1g-1hf
title: †Bothriocidaris Eichwald, 1860

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.