cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.21227/pvbp-sm37
title: Temporal processing and context dependency in C. elegans mechanosensation dataset

description: A quantitative understanding of how sensory signals are transformed into motor outputs places useful constraints on brain function and helps reveal the brain's underlying computations. Here we present over 8,000 animal hours of behavior recordings to investigate the nematode C. elegans' response to time-varying mechanosensory signals. We use a high-throughput optogenetic assay, video microscopy and automated behavior quantification. In the prevailing picture of the touch circuit, the animal's behavior is determined by which neurons are stimulated and by the stimulus amplitude. In contrast, a statistical analysis of these recordings find that the nervous system is tuned to temporal properties of mechanosensory signals, like its integral and derivative, that extend over many seconds. We show that mechanosensory signals, even in the same neurons, can be tailored to elicit different behavioral responses. Moreover, we find that the animal's response also depends on its behavioral context. Most dramatically, the animal ignores all tested mechanosensory stimuli during turns. We present these findings, and a linear-nonlinear model that predicts the animal's behavioral response to stimulus, in an accompanying manuscript, Liu et al., “Temporal processing and context dependency in C. elegans mechanosensation” available at https://arxiv.org/abs/1803.04085.
DOI: 10.21227/qcb8-zt47
title: Indian Diabetic Retinopathy Image Dataset (IDRiD)

description: Diabetic Retinopathy is the most prevalent cause of avoidable vision impairment, mainly affecting working age population in the world. Recent research has given a better understanding of requirement in clinical eye care practice to identify better and cheaper ways of identification, management, diagnosis and treatment of retinal disease. The importance of diabetic retinopathy screening programs and difficulty in achieving reliable early diagnosis of diabetic retinopathy at a reasonable cost needs attention to develop computer-aided diagnosis tool. Computer-aided disease diagnosis in retinal image analysis could ease mass screening of population with diabetes mellitus and help clinicians in utilizing their time more efficiently. The recent technological advances in computing power, communication systems, and machine learning techniques provide opportunities to the biomedical engineers and computer scientists to meet the requirements of clinical practice. Diverse and representative retinal image sets are essential for developing and testing digital screening programs and the automated algorithms at their core. To the best of our knowledge, the database for this challenge, IDRiD (Indian Diabetic Retinopathy Image Dataset), is the first database representative of an Indian population. Moreover, it is the only dataset constituting typical diabetic retinopathy lesions and also normal retinal structures annotated at a pixel level. This dataset provides information on the disease severity of diabetic retinopathy, and diabetic macular edema for each image. This makes it perfect for development and evaluation of image analysis algorithms for early detection of diabetic retinopathy.This dataset was available as a part of "Diabetic Retinopathy: Segmentation and Grading Challenge" organised in conjuction with IEEE International Symposium on Biomedical Imaging (ISBI-2018), Washington D.C.
DOI: 10.21227/tah5-g974
title: Eyes in the Skies: A Data-driven Fusion Approach to Identifying Drug Crops from Remote Sensing Images Dataset

description: Automatic classification of sensitive content in remote sensing images, such as drug crop sites, is a promising task as it can aid law-enforcement institutions fighting illegal drug dealers worldwide, while, at the same time, it can help monitoring legalized crops in countries that regulate them. However, existing art on detecting drug crops from remotesensing images is limited in some key factors not taking full advantage of the available hyperspectral info for analysis. In this paper, departing from these methods, we propose a data-driven ensemble method to detect drug sites from remote sensing images. Our method comprises different Convolutional Neural Network architectures applied to distinct image representations, which are able to represent complementary characterizations of such crops. To validate the proposed approach, we considered in ourexperiments a dataset containing Cannabis Sativa crops, spottedby police operations in a Brazilian region called the Marijuana Polygon. Results in this dataset show that our ensemble approach outperforms other data-driven and feature-engineering methods in a real-world experimental setup, in which unbalanced samples are present and acquisitions from different places are used fortraining and testing the methods, highlighting the promising useof this solution to aid police operations in detecting and collectingevidence of such sensitive content properly.
DOI: 10.5281/zenodo.3539152
title: Speech and noise mixtures used in Modelling Auditory Processing and Organisation

description: Speech and noise signals used in Cooke, M (1991) Modelling Auditory Processing and Organisation, Ph. D. Thesis, Department of Computer Science, University of Sheffield
DOI: 10.5281/zenodo.3539153
title: Speech and noise mixtures used in Modelling Auditory Processing and Organisation

description: Speech and noise signals used in Cooke, M (1991) Modelling Auditory Processing and Organisation, Ph. D. Thesis, Department of Computer Science, University of Sheffield
DOI: 10.17632/9gfs2kkxbc.1
title: Human co-transcriptional splicing kinetics and coordination revealed by direct nascent RNA sequencing Drexler et al.

description: Raw images supporting the paper "Human co-transcriptional splicing kinetics and coordination revealed by direct nascent RNA sequencing". In this manuscript, we describe nanopore analysis of CO-transcriptional Processing (nano-COP), a technique designed to directly probe the dynamics and regulation of pre-mRNA splicing in vivo. nano-COP uses direct RNA nanopore sequencing to determine the native isoform of long nascent RNA molecules without amplification-associated biases. Images in Figure 3 are from RT-PCR gels of transcripts from cytoplasm and chromatin fractions from human K562 and Drosophila S2 cells treated with DMSO or varying concentrations of the splicing inhibitor pladienolide B. The genes in the paper (BRD2 for human cells; Set for Drosophila cells) are in the top left quadrant of each figure. Images in Supplemental Figure 1 are from western blots of cellular fractions from Human K562 cells with antibodies against GAPDH and Ser2P Pol II. The data in the manuscript is from the blots on the left side of both images.
DOI: 10.17632/9gfs2kkxbc.2
title: Human co-transcriptional splicing kinetics and coordination revealed by direct nascent RNA sequencing Drexler et al.

description: Raw images supporting the paper "Human co-transcriptional splicing kinetics and coordination revealed by direct nascent RNA sequencing". In this manuscript, we describe nanopore analysis of CO-transcriptional Processing (nano-COP), a technique designed to directly probe the dynamics and regulation of pre-mRNA splicing in vivo. nano-COP uses direct RNA nanopore sequencing to determine the native isoform of long nascent RNA molecules without amplification-associated biases. Images in Figure 3 are from RT-PCR gels of transcripts from cytoplasm and chromatin fractions from human K562 and Drosophila S2 cells treated with DMSO or varying concentrations of the splicing inhibitor pladienolide B. The genes in the paper (BRD2 for human cells; Set for Drosophila cells) are in the top left quadrant of each figure. Images in Supplemental Figure 1 are from western blots of cellular fractions from Human K562 cells with antibodies against GAPDH and Ser2P Pol II. The data in the manuscript is from the blots on the left side of both images.
DOI: 10.17632/pbwzgjm34n.1
title: Apolipoprotein A1 and PCAT

description: Apolipoprotein A1 which is stored in pericoronary adipose tissue is transported by macrophage phenotypes through fragmented external elastic lamina and disrupted internal elastic lamina into the intima(plaque) of adjacent coronary artery and could suppress atherosclerosis.
DOI: 10.17632/yjs9889ytf.2
title: Wolfram Mathematica and MATLAB scripts for solving the Orr-Sommerfeld equation for a Carreau-Yasuda fluid over an inclined plane.

description: This data presents a Wolfram Mathematica and MATLAB scripts that reproduce the solutions and figures obtained in the article "An analytical comprehensive solution for the superficial waves appearing in gravity-driven flows of liquid films".
DOI: 10.17632/z9tsppdf49.1
title: Apolipoprotein A1 and PCAT

description: Apolipoprotein A1 which is stored in human pericoronary adipose tissue is tansfered by macrophage phenotypes through fragmented external elastic lamina and disrupted internal elastic lamina to coronary intima (plaque) and could suppress coronary atherosclerosis.
DOI: 10.21227/srps-1350
title: Ten Dynamic Hand Gesture Tracking

description: This data consists of ten gestures. The format is CSV, arranged in thirty features that end with a label. Each movement is repeated five times and the coordinates are obtained. The sensor used is LeapMotion. This data can be used as a means of machine learning exercises. can be used for students learning machine learning subjects. articles that have used this data can be seen at the link: https://doi.org/10.1109/CENIM.2018.8711397andhttp://www.engineeringletters.com/issues_v26/issue_3/EL_26_3_09.pdf
DOI: 10.26300/63kv-qt72
title: feronia_Athaliana_x_WT_Alyrata_Rep_07
DOI: 10.17632/wrgdmhyrps.1
title: CO2 residual trapping coreflooding data

description: This data set contains the results from CO2/water coreflooding experiments performed on nine sandstone cores. For each core, the 3D porosity, permeability, initial and residual CO2 saturation maps are available. The data shows that the residual trapping ability of sandstone cores is correlated with petrophysical properties such as porosity and the degree of heterogeneity.
DOI: 10.21227/nypp-zt74
title: Deepblueberry: Quantification of Blueberries in the Wild Using Instance Segmentation

description: Deepblueberry: Quantification of Blueberries in the Wild Using Instance Segmentation Dataset.An accurate and reliable image-based quantification system for blueberries may be useful for the automation of harvest management. It may also serve as the basis for controlling robotic harvesting systems. Quantification of blueberries from images is a challenging task due to occlusions, differences in size, illumination conditions and the irregular amount of blueberries that can be present in an image. This paper proposes the quantification per image and per batch of blueberries in the wild, using high definition images captured using a mobile device. In order to quantify the number of berries per image, a network based on Mask R-CNN for object detection and instance segmentation was proposed. Several backbones such as ResNet101, ResNet50 and MobileNetV1 were tested. The performance of the algorithm was evaluated using the Intersection over Union Error (IoU) and the competitive mean Average Precision (mAP) per image and per batch. The best detection result was obtained with the ResNet50 backbone achieving a mIoU score of 0.595 and mAP scores of 0.759 and 0.724 respectively (for IoU thresholds 0.5 and 0.7). For instance segmentation, the best results obtained were 0.726 for the mIoU metric and 0.909 and 0.774 for the mAP metric using thresholds of 0.5 and 0.7 respectively.
DOI: 10.15468/nafjlg
title: The Dragon-flies (Odonata) of Palestine, based primarily on collection made by Dr. P. A. Buxton, with Notes on the Species of the Adjacent Regions.

description: This dataset contains the digitized treatments in Plazi based on the original journal article K. J. Morton (1924): The Dragon-flies (Odonata) of Palestine, based primarily on collection made by Dr. P. A. Buxton, with Notes on the Species of the Adjacent Regions. Transactions of the Entomological Society of London 1924: 25-44, DOI: http://doi.org/10.5281/zenodo.3539379
DOI: 10.17632/z3jzk4xcrk.1
title: Paleomagnetism and geochronology of the Early Cretaceous Dipilto Batholith (NW-Nicaragua): Chortís block large rotation respect to SW-North America

description: Supporting information of this paper describes the caption of the supplementary tables of geochronologic, rock magnetic, and petrographic data in Excel files. Additionally, the geoposition of all sites are in the *.kmz file (Google Earth). The contents are: Table S1 (*xlsx). U-Pb isotopic ages from LA-ICP-MS in single zircon from four samples of the Dipilto Batholith. Table S2 (*xlsx). Rock magnetic properties and petrographic summary of all sites in the Dipilto Batholith. Database 1 (*txt). Paleomagnetic data directions of each sample in the Dipilto Batholith available in the Magnetics Information Consortium (MagIC) database: https://www2.earthref.org/MagIC. Finally, Database 2 (*.kmz). Geopositions (latitude and longitude) of the paleomagnetic and geochronologic sites in this study. This is a *.kmz file of Google Earth.
DOI: 10.21227/0g5z-zp67
title: Plantar Thermogram Database for the Study of Diabetic Foot Complications

description: The presented database contains thermal images (thermograms) of the plantar region. The database was obtained from 122 subjects with a diabetes diagnosis (DM group) and 45 non-diabetic subjects (control group). The relevance of this database consists in to study how the temperature is distributed in the plantar region of both groups and how their differences can be measured. Previous reports in the literature have established that an increase in the plantar temperature is associated with a higher ulceration risk. Therefore, it is important to study how the thermal changes in the plantar region occur and how they can be measured in order to develop new diagnostic support tools that help the medical expert to take preventive actions. The thermogram database was obtained from 122 diabetic and 45 non-diabetic subjects. Extra information about the analysis of the thermograms for diabetic foot complications can be founded in the scientific reports of the corresponding author link.
DOI: 10.21227/tmde-xk46
title: UNS Hoverflies Classification Dataset

description: Dataset was created as part of joint efforts of two research groups from the University of Novi Sad, which were aimed towards development of vision based systems for automatic identification of insect species (in particular hoverflies) based on characteristic venation patterns in the images of the insects' wings.The set of wing images consists of high-resolution microscopic wing images of several hoverfly species. There is a total of 868 wing images of eleven selected hoverfly species from two different genera, Chrysotoxum and Melanostoma. Besides images of the whole wings "UNS_Hoverflies" dataset also consists of small image patches (64x64 pixels) corresponding to 18 predetermined landmark points in each wing, which were systematically collected from the preprocessed wing images and organized inside the second root folder named "Training - test set".Each wing specimen was uniquely numbered and associated with the corresponding taxonomy group.
DOI: 10.5255/ukda-sn-854012
title: Interviewing autistic adults: Adaptations to support recall in police, employment and healthcare interviews 2017-2019
DOI: 10.21227/5wt1-0d51
title: Plantar Thermogram Database for the Study of Diabetic Foot Complications

description: The presented database contains thermal images (thermograms) of the plantar region. The database was obtained from 122 subjects with a diabetes diagnosis (DM group) and 45 non-diabetic subjects (control group). The relevance of this database consists in to study how the temperature is distributed in the plantar region of both groups and how their differences can be measured. Previous reports in the literature have established that an increase in the plantar temperature is associated with a higher ulceration risk. Therefore, it is important to study how the thermal changes in the plantar region occur and how they can be measured in order to develop new diagnostic support tools that help the medical expert to take preventive actions. The thermogram database was obtained from 122 diabetic and 45 non-diabetic subjects. Extra information about the analysis of the thermograms for diabetic foot complications can be founded in the scientific reports of the corresponding author link.
DOI: 10.21227/6tj3-6r86
title: UNS Hoverflies Classification Dataset

description: Dataset was created as part of joint efforts of two research groups from the University of Novi Sad, which were aimed towards development of vision based systems for automatic identification of insect species (in particular hoverflies) based on characteristic venation patterns in the images of the insects' wings.The set of wing images consists of high-resolution microscopic wing images of several hoverfly species. There is a total of 868 wing images of eleven selected hoverfly species from two different genera, Chrysotoxum and Melanostoma. Besides images of the whole wings "UNS_Hoverflies" dataset also consists of small image patches (64x64 pixels) corresponding to 18 predetermined landmark points in each wing, which were systematically collected from the preprocessed wing images and organized inside the second root folder named "Training - test set".Each wing specimen was uniquely numbered and associated with the corresponding taxonomy group.
DOI: 10.21227/emn2-dt82
title: High Resolution Photoluminescence Microscopy Images And Spectra Of Air-Suspended Single-Wall Carbon Nanotubes

description: The dataset contains high-resolution microscopy images and confocal spectra of semiconducting single-wall carbon nanotubes. Carbon nanotubes allow down-scaling of electronic components to the nano-scale. There is initial evidence from Monte Carlo simulations that microscopy images with high digital resolution show energy information in the Bessel wave pattern that is visible in these images. In this dataset, images from Silicon and InGaAs cameras, as well as spectra, give valuable insights into the spectroscopic properties of these single-photon emitters. The source data is connected to a GitLab pipeline running on docker containers for data processing to various formats that are valid input to machine learning algorithms to further prove that there is information about the excitonic emission wavelength contained in the microscopic images.
DOI: 10.21227/p9z4-ha14
title: Deepblueberry: Quantification of Blueberries in the Wild Using Instance Segmentation

description: Deepblueberry: Quantification of Blueberries in the Wild Using Instance Segmentation Dataset.An accurate and reliable image-based quantification system for blueberries may be useful for the automation of harvest management. It may also serve as the basis for controlling robotic harvesting systems. Quantification of blueberries from images is a challenging task due to occlusions, differences in size, illumination conditions and the irregular amount of blueberries that can be present in an image. This paper proposes the quantification per image and per batch of blueberries in the wild, using high definition images captured using a mobile device. In order to quantify the number of berries per image, a network based on Mask R-CNN for object detection and instance segmentation was proposed. Several backbones such as ResNet101, ResNet50 and MobileNetV1 were tested. The performance of the algorithm was evaluated using the Intersection over Union Error (IoU) and the competitive mean Average Precision (mAP) per image and per batch. The best detection result was obtained with the ResNet50 backbone achieving a mIoU score of 0.595 and mAP scores of 0.759 and 0.724 respectively (for IoU thresholds 0.5 and 0.7). For instance segmentation, the best results obtained were 0.726 for the mIoU metric and 0.909 and 0.774 for the mAP metric using thresholds of 0.5 and 0.7 respectively.
DOI: 10.21227/seqs-e112
title: High Resolution Photoluminescence Microscopy Images And Spectra Of Air-Suspended Single-Wall Carbon Nanotubes

description: The dataset contains high-resolution microscopy images and confocal spectra of semiconducting single-wall carbon nanotubes. Carbon nanotubes allow down-scaling of electronic components to the nano-scale. There is initial evidence from Monte Carlo simulations that microscopy images with high digital resolution show energy information in the Bessel wave pattern that is visible in these images. In this dataset, images from Silicon and InGaAs cameras, as well as spectra, give valuable insights into the spectroscopic properties of these single-photon emitters. The source data is connected to a GitLab pipeline running on docker containers for data processing to various formats that are valid input to machine learning algorithms to further prove that there is information about the excitonic emission wavelength contained in the microscopic images.
DOI: 10.21227/tzae-kv40
title: Ten Dynamic Hand Gesture Tracking

description: This data consists of ten gestures. The format is CSV, arranged in thirty features that end with a label. Each movement is repeated five times and the coordinates are obtained. The sensor used is LeapMotion. This data can be used as a means of machine learning exercises. can be used for students learning machine learning subjects. articles that have used this data can be seen at the link: https://doi.org/10.1109/CENIM.2018.8711397andhttp://www.engineeringletters.com/issues_v26/issue_3/EL_26_3_09.pdf
DOI: 10.21227/vsx2-wm50
title: Plantar Thermogram Database for the Study of Diabetic Foot Complications

description: The presented database contains thermal images (thermograms) of the plantar region. The database was obtained from 122 subjects with a diabetes diagnosis (DM group) and 45 non-diabetic subjects (control group). The relevance of this database consists in to study how the temperature is distributed in the plantar region of both groups and how their differences can be measured. Previous reports in the literature have established that an increase in the plantar temperature is associated with a higher ulceration risk. Therefore, it is important to study how the thermal changes in the plantar region occur and how they can be measured in order to develop new diagnostic support tools that help the medical expert to take preventive actions. The thermogram database was obtained from 122 diabetic and 45 non-diabetic subjects. Extra information about the analysis of the thermograms for diabetic foot complications can be founded in the scientific reports of the corresponding author link.