cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.17632/xjvsp3dhzf.2
title: Single cortical neurons as deep artificial neural networks

description: This dataset is related to the work "Single cortical neurons as deep artificial neural networks" (bioRxiv: https://www.biorxiv.org/content/10.1101/613141v2, SSRN: https://papers.ssrn.com/sol3/papers.cfm?abstract_id=3717773) Code, data and pretrained networks of the work can be found at following links below: Live Notebook with main result replicated: https://www.kaggle.com/selfishgene/single-neuron-as-deep-net-replicating-key-result Dataset and pretrained networks: https://www.kaggle.com/selfishgene/single-neurons-as-deep-nets-nmda-test-data Live Notebook exploring the dataset: https://www.kaggle.com/selfishgene/exploring-a-single-cortical-neuron Full Github repo: https://github.com/SelfishGene/neuron_as_deep_net The specific csv file in this dataset holds the full test evaluation details (network hyperparameters, various evaluation metrics) for 174 deep networks fitted on 3 different types of biophysical models {AMPA + NMDA synapses, AMPA only synapses, AMPA only synapses w/o somatic SK ion channel} All other files related to the dataset are in the kaggle dataset linked above (doi: 10.34740/KAGGLE/DS/417817)
DOI: 10.17632/cdxvnh4ypr.1
title: Performance assessment of double corrugated tubes in a tube-in-shell heat exchanger

description: The CFD modeling study was conducted in order to asses the performance of double corrugated tubes in a tube-in-shell heat exchanger. The study was carried out using COMSOL Multiphysics Conjugated Heat transfer Module with k-epsilon turbulence model. The related raw data is provided in .txt file format. The data is sorted according to the type of analyzed geometry. The input parameters and the numerical results are clearly described in the data sets in folder "HeatTransfer". The data sets in folder "Flow" contains simulation results on the fluid flow velocity and pressure drop across the analyzed heat exchangers at given coordinates. The CFD results were analyzed using MATLAB software. The epsilon-NTU method was used in order to evaluate the performance of heat exchnager equipped with double corrugated tubes and compare to that of one equipped with straight tubes.
DOI: 10.6073/pasta/3dee9016600788b18afb2d6cef471d39
title: North Temperate Lakes LTER: High Frequency Water Temperature - Sparkling Lake Buoy2 2004

description: The second instrumented buoy on Sparkling Lake is equipped with a thermistor chain that measures water temperature from 20 depths ranging from the surface to 7.75m placed at intervals of 1m from the surface to 4m depth and at intervals of 0.25m from 4m to 7.75m. Water temperature data were collected for the period 10 July 2004 through 3 November 2004. Sampling Frequency: 2 minutes Number of sites: 1
DOI: 10.17632/k7rw536m4x.1
title: Data for: Salinity-controlled isomerization of lacustrine brGDGTs impacts the associated MBT′5ME terrestrial temperature index

description: Environmental data and brGDGT fractional abundances for global lakes
DOI: 10.17632/wbtzynhk53.1
title: VITD_APK_NIRT

description: Serum vitamin D3 and vitamin D2 were extracted with organic solvent extraction system. An aliquot of organic phase was processed and injected into a reverse phase HPLC column. Total vitamin D (vitamin D3 and vitamin D2) were detected at 265 nm using a UV detector. (H3) 25(OH)D3 was used as an internal standard to account for processing losses and calculate recovery.
DOI: 10.17632/kdtn52dbkr.1
title: Questionnaire Response for "Higher Education Graduates’ Employment Issues in the Armenian Labor Market across Gender"

description: Below the responses for "Higher Education Graduates’ Employment Issues in the Armenian Labor Market across Gender" by 300 participants are introduced. You will also find attached the questionnaire used to collect data.
DOI: 10.17632/zpdnn2gh4m.1
title: Compressive strength of alkali-activated binder concrete cured at ambient temperature

description: The dataset is used for the prediction of compressive strength of ambient-cured AAB concrete with fly ash or slag or a combination of both as precursors along with usage of both sodium silicate and sodium hydroxide as activators. The data is collected from reported literature on ambient-cured alkali-activated binder concrete.
DOI: 10.17632/dzz9n6zc2c.1
title: Earthquakes triggered by fluid diffusion and boosted by fault reactivation in Weiyuan, China due to hydraulic fracturing

description: The dataset contains three files: absolute_location_phase.dat for P-wave arrival times from the REST method, hypoDD_relocation.dat for relocated earthquake hypocenters, NEDC_catalog for earthquake catalog from National Earthquake Data Center.
DOI: 10.17632/th46h4vdwd.1
title: CineScale: Recognising Cinematic Shot Scales

description: We provide a database containing shot scale annotations (i.e., the apparent distance of the camera from the subject of a filmed scene) for more than 792,000 image frames. Frames belong to 124 full movies from the entire filmographies by 6 important directors: Martin Scorsese, Jean-Luc Godard, Bela Tarr, Federico Fellini, Michelangelo Antonioni, and Ingmar Bergman. Each frame, extracted from videos at 1 frame per second, is annotated on the following scale categories: Extreme Close Up (ECU), Close Up (CU), Medium Close Up (MCU), Medium Shot (MS), Medium Long Shot (MLS), Long Shot (LS), Extreme Long Shot (ELS), Foreground Shot (FS), and Insert Shots (IS). Two independent coders annotated all frames from the 124 movies, whilst a third one checked their coding and made decisions in cases of disagreement. All the original frames can be asked to the authors or from the official project page: https://cinescale.github.io/
DOI: 10.17632/gn4bgvvmn2.1
title: LINF_100015900

description: hypothetical protein - conserved; Leishmania infantum
DOI: 10.17632/f6p3sw9dmk.1
title: LINF_100015800

description: small GTP-binding protein Rab11; Leishmania infantum
DOI: 10.17632/sh4cznw75y.1
title: LINF_100015600

description: FKBP-type peptidyl-prolyl cis-trans isomerase | FKBPL3; Leishmania infantum
DOI: 10.17632/p99bdm6n6m.1
title: LINF_100015400

description: histone H3; Leishmania infantum
DOI: 10.17632/4wfxhvntg6.1
title: LINF_100015300

description: Ribosome biogenesis protein Nop16; Leishmania infantum
DOI: 10.6084/m9.figshare.14150129.v1
title: EBI NHGRI GWAS Catalog - processed df

description: Processed, cleaned version of the GWAS catalog. hg38. File name is gwasCatalog.hg38.tsv.gz<br>
DOI: 10.6084/m9.figshare.14150129
title: EBI NHGRI GWAS Catalog - processed df

description: Processed, cleaned version of the GWAS catalog. hg38. File name is gwasCatalog.hg38.tsv.gz<br>
DOI: 10.5281/zenodo.4570967
title: Toothfish_trajectories_part1

description: This dataset contains daily particles locations for simulations with following particles advection schemes: sea-ice advection sea-ice advection with advection at 200m depth if no sea-ice is present sea-ice advection with advection at 400m depth if no sea-ice is present sea-ice advection with advection at 200m depth with DVM if no sea-ice is present sea-ice advection with advection at 400m depth with DVM if no sea-ice is present
DOI: 10.5281/zenodo.4570966
title: Toothfish_trajectories_part1

description: This dataset contains daily particles locations for simulations with following particles advection schemes: sea-ice advection sea-ice advection with advection at 200m depth if no sea-ice is present sea-ice advection with advection at 400m depth if no sea-ice is present sea-ice advection with advection at 200m depth with DVM if no sea-ice is present sea-ice advection with advection at 400m depth with DVM if no sea-ice is present
DOI: 10.5281/zenodo.4574418
title: Toothfish_trajectories_part3

description: This dataset contains daily particles locations for simulations with following particles advection schemes: no sea-ice advection after 100 days with additional 500 m/day southward movement no sea-ice advection after 100 days with additional 1000 m/day southward movement sea-ice advection with additional 500 m/day southward movement sea-ice advection with additional 1000 m/day southward movement sea-ice advection for the first 180 days and ocean advection afterwards
DOI: 10.5281/zenodo.4574417
title: Toothfish_trajectories_part3

description: This dataset contains daily particles locations for simulations with following particles advection schemes: no sea-ice advection after 100 days with additional 500 m/day southward movement no sea-ice advection after 100 days with additional 1000 m/day southward movement sea-ice advection with additional 500 m/day southward movement sea-ice advection with additional 1000 m/day southward movement sea-ice advection for the first 180 days and ocean advection afterwards
DOI: 10.5281/zenodo.4574388
title: Toothfish_trajectories_part2

description: This dataset contains daily particles locations for simulations with following particles advection schemes: no sea-ice advection after 100 days no sea-ice advection after 100 days with advection at 200m depth no sea-ice advection after 100 days with advection at 400m depth no sea-ice advection after 100 days with advection at 200m depth with DVM no sea-ice advection after 100 days with advection at 400m depth with DVM
DOI: 10.5281/zenodo.4574387
title: Toothfish_trajectories_part2

description: This dataset contains daily particles locations for simulations with following particles advection schemes: no sea-ice advection after 100 days no sea-ice advection after 100 days with advection at 200m depth no sea-ice advection after 100 days with advection at 400m depth no sea-ice advection after 100 days with advection at 200m depth with DVM no sea-ice advection after 100 days with advection at 400m depth with DVM
DOI: 10.17632/v7mbmfxxy5.1
title: Complex-dependent histone acetyltransferase activity of KAT8 determines its role in transcriptional regulation and cellular homeostasis. Radzisheuskaya et al.

description: Uncropped western blots
DOI: 10.17632/s8dgbs3rng.1
title: Hierarchical sales data of an Italian grocery store

description: This dataset contains sales data of an Italian grocery store at the SKU level. It consists of 118 daily time series representing the quantity of pasta sold from 01/01/2014 to 31/12/2018. Besides univariate time series data, the quantity is integrated by the information on the presence or the absence of a promotion.
DOI: 10.17632/wjshy9hp7z.2
title: Dataset for paper “A Bone-Wise Kinematics Approach for Modeling the Human Hind-MidFoot”
DOI: 10.17632/md8jp9ny9z.2
title: Mid-19th-century building structure locations in Galicia and Austrian Silesia under the Habsburg Monarchy

description: The dataset presents a reconstruction of mid-19th-century building structure locations in former Galicia and Austrian Silesia (parts of the Habsburg Monarchy), located in present-day Czechia, Poland and Ukraine and covering more than 80 000 km2. Our reconstruction was based on a homogeneous series of detailed Second Military Survey maps (1:28,800), which were the result of cadastral mapping (1:2,880) generalization. The dataset consists of two kinds of building structures based on the original map legend – residential and outbuildings (mainly farm-related buildings), and contains more than 1.3 million objects. The dataset’s accuracy was assessed quantitatively and qualitatively using independent data sources and may serve as an important input in studying long-term socio-economic processes and human-environmental interactions or as a valuable reference for continental settlement reconstructions. Additionally, a separate polygon layer of districts covering the entire study area, including a set of uncertainty-related attributes was added to the dataset. Acknowledgments This research was funded by the Ministry of Science and Higher Education, Republic of Poland under the frame of “National Programme for the Development of Humanities” 2015–2020, as a part of the GASID project (Galicia and Austrian Silesia Interactive Database 1857–1910, 1aH 15 0324 83).
DOI: 10.17632/fngs4kj27v.2
title: Dataset in support of paper "Relationship between the Ozone and Water Vapor columns on Mars as Observed by SPICAM and Calculated by a Global Climate Model"

description: SPICAM ozone nadir data: spicam_nadir_o3_202001.tar.gz SPICAM water vapor nadir data: SPICAM_WV_1_2020.txt.gz GCM data co-located with SPICAM (Figures 5-6-7)
DOI: 10.17632/4rvsy65stz.1
title: 3D reconstruction of seawater micro-droplets on cleaved calcite in n-decane measured with AFM

description: The data-set contains the 3D reconstruction of seawater micro-droplets on cleaved calcite in n-decane measured with AFM which can be used for the assessment of pinning effects along the three-phase contact line. The reconstruction was created from force-distance curves obtained at each pixel of the AFM image following the description in the referenced paper. The reconstruction has the dimensions 1024x1024x1024 and a voxel size of 0.0383 μm × 0.0383 μm × 0.0383 μm with the values 0,1,2 representing n-decane, calcite and seawater respectively. Further, the data-set contains the original height map of the calcite surface underneath the droplet with greater accuracy with the dimensions 128 x 128, a pixel size of 0.29 μm x 0.29 μm. We recommend applying a median filter to remove instrumental artefacts. In combination, the reconstruction allows for small scale contact angle measurements and to correlate these measurements to the natural roughness of cleaved calcite.
DOI: 10.17632/vdgnxsm692.1
title: Buffalo-Pak: Buffalo Breed Dataset from Pakistan for Visual Features Based Classification

description: (1) Buffalo-Pak: A data set of images of 3 different Buffalo species from Pakistan, i.e. Neli Ravi, Khundi, and Mix. (2) Buffalo-Pak data set contains 325 images with 112 (Neli Ravi), 138 (mix), and 75 (Khundi). (3) Buffalo-Pak data set can be used for image classification and segmentation based on their visual features. (4) The data set is referred to for the multiclass problem as it holds several visual features.
DOI: 10.17632/mdm7962ks4.1
title: Two-Dimensional Ti3C2Tx MXene Promotes Development and Maturation of Neural Circuits in vitro

description: The ideal neural interface or scaffold for stem cell therapy shall have good biocompatibility promoting survival, maturation and integration of neural stem cells (NSCs) in targeted brain regions. The unique electrical, hydrophilic and surface-modifiable properties of Ti3C2Tx MXene make it an attractive substrate, but little is known about how it interacts with NSCs in development and maturation. In this study, we cultured NSCs on Ti3C2Tx MXene and examined its effects on morphological and electrophysiological properties of NSC-derived neurons. With a combination of immunostaining and patch-clamp recording, we found that Ti3C2Tx MXene promotes NSCs differentiation and neurite growth, increases voltage-gated current of Ca2+ but not Na+ or K+ in matured neurons, boosts their spiking without changing their passive membrane properties, and enhances synaptic transmission between them. Taken together, these results expand our understanding of interaction between Ti3C2Tx MXene and NSCs and provide a critical line of evidence for using Ti3C2Tx MXene in neural interface or scaffold in stem cell therapy.
DOI: 10.17632/ppwxdgbbx4.1
title: Plantar foot temperature during sitting and standing in participants with diabetes and controls

description: Continuous temperature data collected from the plantar (sole) of the foot of 13 participants with diabetes and 12 healthy control participants during sitting and standing. Collected with our custom personalised temperature sensing insoles (see paper for description). If using this data please cite: Beach, C.; Cooper, G.; Weightman, A.; Hodson-Tole, E.F.; Reeves, N.D.; Casson, A.J. Monitoring of Dynamic Plantar Foot Temperatures in Diabetes with Personalised 3D-Printed Wearables. Sensors 2021, 21, 1717. https://doi.org/10.3390/s21051717 The data presented here has been converted into °C and filtered using a low-pass filter with cut-off frequency of 0.02 Hz. Temperature data is provided in csv format and the participant metadata is in xlsx format. In addition data is provided in Python serialized (pickle) format to allow easy importing to Python (see below for steps to do this). Use of the Anaconda Distribution is recommended. In the metadata, Testing Date 1 refers to date where pressure mat data was collected to inform the personalised insole design. Testing Date 2 refers to the date where the temperature data uploaded here was collected. To import this data into Python use the following commands: import numpy as np import pandas as pd import pickle as pkl with open('participants.pkl', 'rb') as f: participants= pkl.load(f) # This line needs to be indented, however Mendeley is removing this formatting 'participants' is then a dictionary containing dictionaries for each participants. Within each of these dictionaries are four Pandas DataFrame's containing the temperature data for each foot, for sitting and standing. For example, if you wanted to access the DataFrame for the left foot of participant H1 during standing you would type: participants['H1']['sitting_L'] Within each DataFrame each column corresponds to: Time: The timestamp of each datapoint in HH:MM:SS as recorded by the iPhone app Ch0: Temperature data from the Hallux Ch1: Temperature data from the 1st Metatarsal Head Ch2: Temperature data from the 5th Metatarsal Head Ch3: Temperature data from the Calcaneus So if you wanted just the temperature data from the left 1st Metatarsal Head of participant H1 during sitting you would type: participants['H1']['sitting_L']['Ch1']
DOI: 10.17632/jcmdrm5f5x.1
title: Datasets of the solar quiet (Sq) and solar disturbed (SD) variations of the geomagnetic field at a midlatitudinal station in Europe obtained by different methods

description: Here we present datasets of daily variation obtained from the geomagnetic field's raw observations recorded at the Coimbra Magnetic Observatory (COI, Portugal) between 01.01.2007 and 31.12.2017, covering almost the entire solar cycle 24. Two methods were used to extract daily variability from the raw geomagnetic hourly data. The first method uses the so-called “geomagnetically quiet days” to calculate S-type variations as daily means resulting in the data sub-set named “IQD Sq and SD”. The second method uses the principal component analysis (PCA) to decompose the original series into main variability modes. The first three modes produced by PCA and explaining up to 98% or the variability of the raw data are in the data sub-set named “PCA modes”. Both methods allow to extract regular geomagnetic field variations related to daily variations (S-type variations) in the ionospheric dynamo region and some magnetospheric currents (e.g., field aligned currents). The location of COI in middle latitudes near the latitude of the ionospheric Sq current vortex's focus allows studying its seasonal and decadal variability using the S-type regular variations of the geomagnetic field measured near the ground. The S-type variations for the X and Y components of the geomagnetic field obtained at the COI observatory can also be re-scaled and used to analyze geomagnetic field variations obtained at other European geomagnetic observatories at close latitudes. The S-type variations for the Z component of the geomagnetic field obtained at the COI observatory can be compared to similar variations observed at more continental regions to study the so-called “coastal effect” in the geomagnetic field variations. Institution: University of Coimbra, Geophysical and Astronomical Observatory, Coimbra Magnetic Observatory City: Coimbra Country: Portugal Latitude and longitude for collected data: 40º 13’ N, 8º 25.3’ W, 99 m a.s.l. Primary data sources: The raw geomagnetic field data can be downloaded from the World Data Centre for Geomagnetism, Geomagnetism Data Portal (http://www.wdc.bgs.ac.uk/dataportal/), station name: “Coimbra”, IAGA code: “COI”
DOI: 10.17632/n466k4xbws.1
title: Macrophage Populations Isolated From Sham and Saline Intratracheally Instilled Mice: Maturity and Phenotype Data

description: Resident and recruited macrophages were identified via a chimeric mouse model. The macrophage populations of these chimeras were also assessed following sham and saline intratracheal instillation. Alveolar macrophages were collected via bronchoalveolar lavage and protein expression measured by flow cytometry. Macrophages were assessed for maturity and phenotype.
DOI: 10.17632/hchx5kjxn2.2
title: Supplemental Data for Models for Factors Influencing Pathogen Survival in Low Water Activity Foods from Literature Data are Highly Significant but Show Large Unexplained Variance. Matthew J. Igo and Donald W. Schaffner

description: Raw data and R code for the manuscript Models for Factors Influencing Pathogen Survival in Low Water Activity Foods from Literature Data are Highly Significant but Show Large Unexplained Variance.
DOI: 10.17632/tg854n8th8.1
title: English pronunciation evaluation dataset

description: Dataset of features from the voices of people learning to speak English. This dataset contains the voices of 33 speakers, and for each one of them, there are 840 rows, taking 5 seconds segments and also using data augmentation by speeding up or slowing down the original audio. The columns are: - The speaker identification number - The tag: 0 for low level, 1 for intermediate, 2 for high, - The remaining columns are the features considered in this dataset, such as Zero Crossing rate, Energy, Energy entropy, the Mel Frequency Cepstral Coefficients (MFCC), as well as many others (see first row of the CVS file; all of them are very much standard audio features intended for classification.
DOI: 10.17632/2sp38s8y3b.1
title: A dataset of variety and location effect on optimization of row spacing, in North Gondar, Ethiopia

description: Malt barley is among the priority commodity crops that have attracted the attention of policymakers in Ethiopia. A lot of effort has been exerted to improve malt barley production through strengthening malt barley research and scaling up the available agronomic-like technologies. Despite all efforts, however, productivity is much below the potential due to traditional systems of land management, poor agronomic practices, lack of high-quality seeds of improved varieties. We, therefore, conducted a field experiment to evaluate malt barley varieties under a range of inter-row spacing and two mega environments in northern Gondar for their yield and associated traits. The data presented under this article includes Phenological traits, yield and yield components such as days to 50% heading, days to 90% physiological maturity, seeds spike, spike length, number of effective tillers, 1000-seed weight, grain yield, total aboveground biomass yield, and straw yield. The experimental factors considered in our experiment includes two divergence growing environments (Miligebsa and Kino), six malt barley varieties (i.e., Holker, HB1963, Sabine, Ibone174/03, EH1847, and Freygebse), and four levels of inter-row spacing such as 20, 25, and 30 cm. During the experimentation, all experimental plots received uniform agronomic practices such as weeding, fertilizer application, harvesting, and trashing. The analyzed result showed an important interaction among the imposed factors. It was found that optimization of row spacing has been found to be dictated by location and varietal difference. On the basis of the result, it can be universally concluded that 25cm row spacing combined with the varieties “HB1963,” “Hollker,” and “Sabine” was found to be optimum for maximum yielding potential under a potential environment (Miligebsa). This information can allow other researchers to review our data, methods, and analysis in detail, possibly giving rise to new lines of inquiry. This can also give rise to new collaborations and boost the reputation of this research result within the community. therefore, this dataset is aimed to prepare a dataset collected from an intensive malt barley field experiment for public use and to make the raw data available to everyone to use as they wish.