cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.7923/g46q1v53
title: Total phosphorus load calculations for two inflow locations and the outflow location at Fernan Lake, Idaho (April 2014-April 2015)

description: The following description is the calculation of daily phosphorus loads using the non-parametric smearing method, see references below. 15 minute interval stages were converted to discharge values using the rating curve equation developed by T. LaCroix. (1) Daily loads were calculated by multiplying measured total phosphorus (TP) concentrations by the corresponding discharge values (both occurring at 15:00). (2) The natural log of daily TP loads was then plotted as a function of the natural log of discharge and a linear relationship was determined. (2) A bias-correction factor was estimated as the mean of the residuals. (2) To estimate daily TP loading, the linear model and corresponding bias-correction factor was applied to the continuous discharge data for each site in the log transformed form. (3) The daily TP loading estimates were summed to estimate annual loads. The data file named "Smearing Method MW_TP.csv" is the main Fernan Creek inflow station record. The data file "Smearing Method NS_TP.csv" is the Stacel Creek station record. The file "Smearing Method OF_TP.csv" is the outflow dam station record. Each data file has a separate "readme" file to explain each data column fully. These are named "Readme MW_TP.txt", "Readme NS_TP.txt" and "Readme OF_TP.txt" and correspond to the three data files listed above. References: Colin TA. 1995. Recent advances in statistical methods for the estimation of sediment and nutrient transport in rivers. Review of Geophysics 33: 1117. Duan N. 1983. Smearing estimate: a nonparametric retransformation method. Journal of American Statistical Association 78: 605–610. Helsel DR, Hirsch R. 2002. Statistical methods in water resources techniques of water resources investigations, Book 4, chapter A3. Geological Survey.
DOI: 10.14469/hpc/180
title: Multiple file upload test 1

description: multiple file upload test 1
DOI: 10.14469/hpc/181
title: Multiple file upload test 1

description: multiple file upload test 1
DOI: 10.14469/hpc/182
title: multiple file upload 1

description: multiple file upload 1
DOI: 10.14469/hpc/183
title: test 1

description: test 1
DOI: 10.14469/hpc/184
title: test 2

description: test 2
DOI: 10.5281/zenodo.44373
title: Silc Cosmic Microwave Background (Cmb) Maps R1 Of Planck Pr2 Data

description: Clean maps of the CMB temperature anisotropies (as measured by Planck; public data release PR2) constructed with a novel internal linear combination (ILC) algorithm using directional, scale-discretised wavelets – Scale-discretised, directional wavelet ILC or SILC.
description: {"references": ["Keir K. Rogers, Hiranya V. Peiris, Boris Leistedt, Jason D. McEwen, Andrew Pontzen, SILC: a new Planck Internal Linear Combination CMB temperature map using directional wavelets, Mon. Not. Roy. Astron. Soc., submitted, 2016 (http://arxiv.org/abs/1601.01322)"]}
DOI: 10.21227/m8wb-4n36
title: FruitsGB: Top Indian Fruits with quality

description: INDIA is the second-largest fruit and vegetable exporter in the world after China. It ranked first in the production of Bananas, Papayas, and Mangoes. Public datasets of fruits are available but they are limited to general fruit classes and failed to classify the fruits according to the fruit quality. To overcome this problem, we have created a dataset named FruitsGB (Fruits Good/Bad) dataset.The main objectives to create this dataset were: 1) Target the top six Indian fruits which are exported or highly consumed. 2) Create a dataset for fruit classification with the quality of fruit. 3) Dataset consists of 12000 high-quality images of 12 different classes of fruits.We use mobile phones rear camera to take the images of fruits. The dataset consists of total 12000 images with 12 classes namely, Bad Apple, Good Apple, Bad Banana, Good Banana, Bad Guava, Good Guava, Bad Lime, Good Lime, Bad Orange, Good Orange, Bad Pomegranate, and Good Pomegranate. In the dataset, each class consists of 1000 images of size 256x256. The images had taken with different angles, with different backgrounds, and in different lighting conditions. As we considered the most consumed fruits this dataset is very useful for researchers.
DOI: 10.14469/hpc/199
title: My private dataset

description: a test dataset
DOI: 10.17632/9dkfkfnyzs.2
title: Prevalence data of diarrheagenic Escherichia coli in the fecal pellets of wild rodents using culture methods and PCR assay

description: The Escherichia coli and Shiga toxin-producing E. coli, bacteria in the fecal samples were detected by culture and molecular method. The rodent fecal samples were first cultured in a non-selective buffered peptone water (BPW) and then the enrichment broth containing the samples was streaked with a loop onto the E. coli-selective eosin methylene blue agar (EMB) media and Shiga toxin-producing E. coli-selective cefixime tellurite sorbitol MacConkey agar (CT-SMAC) media and incubated. The plates were examined for colony forming units (CFU) and sub-cultivated was conducted on EMB so that pure colonies could be collected. The E. coli colonies produced metallic sheen color produced on EMB agar media. Sorbitol negative colonies (white or off white color) were detected onto CT-SMAC agar (Fig. S1). We select colorless colony as E. coli O157:H7 positive colonies seem to be STEC-positive on culture media. Finally the STEC E. coli was detected based on morphology, PCR band, and sequence similarity analysis. The E. coli and Shiga toxin-producing E. coli sequences were compared for similarity with bacteria deposited in GenBank using NCBI BLAST, which is available at http://www.ncbi.nlm.nih.gov/. The bacterial colonies on the selective media that had been identified by their morphology were re-identified by PCR using molecular markers. A PCR amplification of hypervariable regions (HVR) the bacterial 16S rRNA gene was performed to confirm whether the colonies on the EMB media belonged to E. coli. We randomly selected a single colony from each of the 26 EMB agar plates and after PCR amplification with the HVR primer set, the target bands for the 16S rRNA gene were found in all 26 single colonies (Fig. S2). Thirteen PCR bands were then sequenced and deposited to the GenBank database. A PCR amplification of the Shiga toxin genes (stx1 and stx2) was performed to confirm whether the colonies on the CT-SMAC media belonged to Shiga toxin-producing E. coli. We randomly selected one or more single colonies from each of the 18 CT-SMAC agar plates. Two single colonies from the CT-SMAC plate for MuRaNo-1, three single colonies from MuApSy-3, and a single colony from the others were selected, which resulted in 21 colonies. The PCR amplification using the Stx1 primer set produced bands for the Shiga toxin gene from all of the 21 single colonies (Fig S3). We then sequenced 13 PCR bands from the 21 colonies. The target PCR bands of 5 E. coli with the stx2 gene (Fig S4) were amplified and sequenced, deposited to the GenBank database. Raw data sequence of 16S gene with their colony ID and GenBank accession No. is provided as fasta text file. In addition, similarly, Shiga toxin gene sequences (stx1 and stx2) of raw data set are described with colony ID and GenBank accession No.
DOI: 10.17632/p4tx2k852r.3
title: SDCOR Synthetic Datasets

description: SDCOR: Scalable Density-based Clustering for Local Outlier Detection in Massive-Scale Datasets Link to arXiv e-print: https://arxiv.org/pdf/2006.07616.pdf This paper presents a method for local outlier detection in massive-scale datasets, which is based on a batch-wise density-based clustering approach. SDCOR consists of three major phases: 1) Sampling; 2) Scalable Clustering; and 3) Scoring. In the Sampling phase, a preliminary random sampling is conducted to obtain an abstraction of the entire data, named temporary clustering model; and also to acquire some information over the necessary parameters for the clustering procedures. Then, the Scalable Clustering phase will commence and the input data will be processed in chunks; as by processing successive chunks, the temporary clustering model gets gradual updates, till it turns into the final clustering model after processing the last chunk. Ultimately, at the last phase of the algorithm, regarding the final clustering model attained through the batch-wise clustering, and by employing the Mahalanobis distance criterion, each object is given an outlying score called SDCOR, which is equal to its local Mahalanobis distance. Each synthetic dataset in this repository is made of some Gaussian clusters with arbitrary mean vectors, far enough from each other, to impede probable overlappings among multidimensional clusters. For each of these artificial datasets, a specific amount of outliers are added around every cluster in the corresponding data; and moreover, the outliers "truth" is available along with each synthetic data. For every artificial dataset, there is a n-by-p matrix of dataset X (as n and p stand for the cardinality and dimensionality of the input data, respectively), along with the n-by-1 vector y of outlier labels, all together as a single binary MAT-file. We have implemented our code in MATLAB 9, which due to becoming reproducible, is accessible through our GitHub page (https://github.com/sana33/SDCOR). Finally, if you are interested in the idea or you are using this data for your research, please cite our paper as: @article{naghavi2020sdcor, title={SDCOR: Scalable Density-based Clustering for Local Outlier Detection in Massive-Scale Datasets}, author={Naghavi-Nozad, Sayyed-Ahmad and Haeri, Maryam Amir and Folino, Gianluigi}, journal={arXiv preprint arXiv:2006.07616}, year={2020} } Thanks a lot ...
DOI: 10.17632/3zgsd5khvs.2
title: Dataset of traffic accidents involving animals on São Paulo state highways

description: These data show a survey of the highway military police reports concerning traffic accidents involving animals on highways of São Paulo state, Brazil, during 2010 to 2018 period. These data are a valuable tool to the scientific community better understand the annual number and severity of traffic accidents that occur due the presence of animals on the highways in São Paulo state; in addition to propose alternatives that can reduce these numbers.
DOI: 10.17632/5hpxhzxzjj.2
title: Distinct patterns of surround modulation in V1 and hMT+

description: Here we study patterns of surround modulation in primary visual cortex (V1) and middle temporal complex (hMT+) utilizing a well-studied effect in motion perception, where human observers' ability to discriminate the drift direction of a grating improves as its size gets bigger if the grating has low contrast, and deteriorates if it has high contrast. We first replicated the findings in the literature with a behavioral experiment using small and large (1.67 and 8.05 degrees of visual angle) drifting gratings with either low (2%) or high (99%) contrast presented at the periphery. Next, using functional MRI, we found that in V1 with increasing size cortical responses increased at both contrast levels. Whereas in hMT+ with increasing size cortical responses remained unchanged or decreased at high contrast, and increased at low contrast, reflecting the perceptual effect. 3.1.3. Visual Stimuli & Experimental Design Visual stimuli were drifting gratings. Two size (small: 1.67°, large: 8.05°) and two contrast levels (2% and 99%) were tested. Size (diameter) was defined as six times the standard deviation of the Gaussian envelope in the fMRI experiment. FMRI experimental code was written in Python using the built-in methods of the Psychopy package, whereas the behavioral experiment was written using custom Java modules developed by us. Therefore the formulation and implementation were slightly different in the behavioral experiment. Nevertheless, the stimuli were ensured to have the same sizes in both experiments. Due to the limits of the visual display system, gratings were presented at ± 8.02 degrees of horizontal eccentricity (was 9.06° in the behavioral experiment), and drifted with a rate of 6°/s (was 4°/s in the behavioral experiment) either upward or downward for the duration of 12 s. Both gratings drifted in the same direction simultaneously and alternated direction every 2 s to avoid motion adaptation. A functional run was composed of “active” and “control” blocks, each lasting for 12 s. In the active blocks, drifting gratings and a central fixation mark were presented, whilst in the control blocks, only the fixation mark remained visible. In alternating active blocks, small and large drifting gratings were shown, each repeated 6 times in a run. The contrast level was kept constant within a run. Two experimental runs were conducted for each contrast level in a session. The runs started with an initial blank period of 24 s to allow hemodynamic response to reach a steady state. The total duration of a functional run was around 5 min.
DOI: 10.17632/9pmk8jmgry.1
title: articulos cientificos, ensayos , proyectos de investigacion

description: la presente carpeta tiene como finalidad el acceso a informacion cientifica y academica para el resto del publico en general sea de gran aporte y relevancia
DOI: 10.17632/9dkfkfnyzs.1
title: Prevalence data of diarrheagenic Escherichia coli in the fecal pellets of wild rodents using culture methods and PCR assay

description: The Escherichia coli and Shiga toxin-producing E. coli, bacteria in the fecal samples were detected by culture and molecular method. The rodent fecal samples were first cultured in a non-selective buffered peptone water (BPW) and then the enrichment broth containing the samples was streaked with a loop onto the E. coli-selective eosin methylene blue agar (EMB) media and Shiga toxin-producing E. coli-selective cefixime tellurite sorbitol MacConkey agar (CT-SMAC) media and incubated. The plates were examined for colony forming units (CFU) and sub-cultivated was conducted on EMB so that pure colonies could be collected. The E. coli colonies produced metallic sheen color produced on EMB agar media. Sorbitol negative colonies (white or off white color) were detected onto CT-SMAC agar (Fig. S1). We select colorless colony as E. coli O157:H7 positive colonies seem to be STEC-positive on culture media. Finally the STEC E. coli was detected based on morphology, PCR band, and sequence similarity analysis. The E. coli and Shiga toxin-producing E. coli sequences were compared for similarity with bacteria deposited in GenBank using NCBI BLAST, which is available at http://www.ncbi.nlm.nih.gov/. The bacterial colonies on the selective media that had been identified by their morphology were re-identified by PCR using molecular markers. A PCR amplification of hypervariable regions (HVR) the bacterial 16S rRNA gene was performed to confirm whether the colonies on the EMB media belonged to E. coli. We randomly selected a single colony from each of the 26 EMB agar plates and after PCR amplification with the HVR primer set, the target bands for the 16S rRNA gene were found in all 26 single colonies (Fig. S2). Thirteen PCR bands were then sequenced and deposited to the GenBank database. A PCR amplification of the Shiga toxin genes (stx1 and stx2) was performed to confirm whether the colonies on the CT-SMAC media belonged to Shiga toxin-producing E. coli. We randomly selected one or more single colonies from each of the 18 CT-SMAC agar plates. Two single colonies from the CT-SMAC plate for MuRaNo-1, three single colonies from MuApSy-3, and a single colony from the others were selected, which resulted in 21 colonies. The PCR amplification using the Stx1 primer set produced bands for the Shiga toxin gene from all of the 21 single colonies (Fig S3). We then sequenced 13 PCR bands from the 21 colonies. The target PCR bands of 5 E. coli with the stx2 gene (Fig S4) were amplified and sequenced, deposited to the GenBank database. Raw data sequence of 16S gene with their colony ID and GenBank accession No. is provided as fasta text file. In addition, similarly, Shiga toxin gene sequences (stx1 and stx2) of raw data set are described with colony ID and GenBank accession No.
DOI: 10.17632/xf5cvrkwps.1
title: "HERMES LCA" – a tool to assess carbon dioxide emissions during production, construction and use phases of asphalt pavements

description: "HERMES LCA" spreadsheet tool assesses the amount of carbon dioxide CO2 emissions generated during the life of an asphalt pavement considering production phase, construction phase and use phase. The Life Cycle Assessment (LCA) approach is implemented. Compared to other existing LCA tools, “HERMES LCA” maximizes openness and transparency of the analysis and the interaction allowed with the user. Furthermore, "HERMES LCA" comprises inputs that are seldom touched in other tools by including use phase. The work is part of the “HERMES” international research project.
DOI: 10.17632/dz3h4kfzj3.1
title: Uromodulin:HbA1c ration in detection of diabetic nephropathy

description: UHR in DN. Excel sheet containing the blinded master chart.
DOI: 10.17632/smt9m7f9rr.1
title: CdS_Substrate_Temperature

description: All of the characteristic data used are given here.
DOI: 10.17632/6hd9ybsjn4.1
title: Source data of “Pure metallic iron particles in an Eucrite, uncovering the mystery of space weathering on Vesta”

description: The source data of EELS and Appendix of Tables and Figures for this paper
DOI: 10.17632/jjjmh26c2g.1
title: Locomotor responses to salt stress in native and invasive mud-tidal gastropod populations (Batillaria)

description: This data set includes footage videos of snails reacting to different saline regimes of 13, 23, 33, and 43 PSU. These snails were collected from the north and east coast of the Japan archipelago (Nemuro city, 43°15’N, 145°28’E and Matsushima bay, 38°22’N, 141°4’E), and the west coast of the USA (Monterey bay, Elkhorn Slough, 36°49’N, 121°45’W). There are three zipped files named after the sampling sites of Nemuro, Matsushima, and Elkhorn Slough. Each zipped file contains 15 folders labeled with recorded day. Each of these contains 80 AVI files labled with format of Recorded day_Salinity_FF_number, in which FF is "FastForwared" and numbers are identies of recorded snails. For example, the first video in Matsushima zipped file/Folder Day 1/Day 1_13_FF_1 is locomotor video of snail 1 recoreded in the first day of acclimation experiment when exposed to 13 PSU.
DOI: 10.17632/c989xj67wc.2
title: Code of Single-Parameter Decision-Theoretic Rough Set model

description: This code is free download for scholars to research on the single-parameter decision-theoretic rough set model (SPDTRS, DOI: https://doi.org/10.1016/j.ins.2020.05.124) that can be considered as a generation model of the classic rough set model and mainly focuses on how to set the parameters in the original decision-theoretic rough set models. If you have any question about the SPDTRS model, please contact us at the email address in the paper published in Information Sciences 2020, doi: https://doi.org/10.1016/j.ins.2020.05.124.
DOI: 10.17632/7hmw6837vm.1
title: blackcarbon_pbl_transport

description: This data comprises the measured black carbon mass, carbon monoxide concentration and the corresponding ΔBC/ΔCO on surface and mountain sites during the experiment for winter and summer.
DOI: 10.17632/p3j78mpjtx.1
title: DATA for "Remobilization and hypoxia-dependent migration of phosphorus at the coastal sediment-water interface"

description: DATA for sediment properties, DGT-Labile P/S, porewater SRP and soluble Fe etc.
DOI: 10.18112/openneuro.ds003030.v1.0.0
title: Flickering Checkerboard Demo Scans
DOI: 10.17632/jm2fv26zk7.1
title: Social networking website increases efficacy and promotes engagement in a distance learning course on oral lesion diagnosis

description: "Social networking website increases efficacy and promotes engagement in a distance learning course on oral lesion diagnosis"
DOI: 10.17632/j4wt48yw3n.1
title: Incremento de la Eficiencia y la Calidad en el Proceso de Tapicería para la Empresa “Aristas: Muebles y Diseños”

description: Documento de Tesis que corresponde a la implemetación de proyecto Lean Six Sigma sobre una empresa de muebles y sofás con el objetivo de aumentar la productividad y reducir los tiempos de producción en la línea de Tapicería. Se presentan todas las fases de la metodología pasando por la definición de los problemas, la recolección de datos, el análisis de esta información, el diseño y justificación de propuesta de solución mediante el software Simio y la presentación de las gráficas de control respectivas.
DOI: 10.17632/vyd88n68pt.1
title: Mr

description: In the middle of the XIX century in the Kokand Khanate, due to the economic need in the field of crafts, the process of specialization accelerated and there was a development in the field of crafts. There was no production or textile factory in the country. However, it is reported that textiles made by artisans on hand-made machines were exported to other provinces and countries of the East. It is noted that more than 30 types of products produced during this period were sold in the main markets of the khanate, where they were in high demand.
DOI: 10.17632/fh4jz45yft.1
title: Forest edges and their effects on the arrival of dragonflies at north-temperate experimental ponds

description: Abundance, species richness, species diversity, and composition of adult dragonfly communities in response to forest edge connectivity and distance to ponds.
DOI: 10.17632/k4gs3bmx5k.3
title: Brazilian Sign Language Alphabet

description: This database contains images of Brazilian Sign Language Alphabet - (BSL, also known as LIBRAS). The database was developed using images previously available in Kaggle¹. The characteristics of the data obtained are listed below: * The database consists of 3,000 images of each sign representing the alphabet of the American Sign Language - ASL - which are 200x200 pixels.; * The images show variations in scale, distance, lighting and execution; and * The catches have a homogeneous background. This database was developed using only the images available in Kaggle. In all, images of 15 ASL static signals were selected, which have the same representation in LIBRAS. The database contains 4411 images of signs representing the LIBRAS alphabet. The characteristics of the database are: * It contains images representing 15 signs of the LIBRAS alphabet: A, B, C, D, E, I, L, M, N, O, R, S, U, V and W; * Each class/sign of the alphabet has between 150 and 600 samples; * The images have homogeneous background; and * The images have annotations that delimit the area of the image belonging to the object/sign of the alphabet. The annotation of the object present in the image was performed with the aim of creating a ground truth for evaluating algorithms of object detection, as well as enabling the training of classifiers to perform the detection. The annotations were made with LabelImg² - a graphic tool that can be used to annotate images by creating a bounding box on the objects of interest. As a result a file in XML (Extensible Markup Language) format is generated containing the ROI (region of interest) coordinates of all the bounded objects, as well as their label. ¹ https://www.kaggle.com/grassknoted/asl-alphabet ² https://github.com/tzutalin/labelImg
DOI: 10.17632/y3ghm9v9xc.1
title: NEEMSISdata_cleaned

description: This database is a cleaned version of data from the NEEMSIS survey, conducted in 2016-2017 in rural Tamil Nadu. See https://neemsis.hypotheses.org/ for survey description and user manuals.
DOI: 10.17632/wzh2tyb46y.2
title: Low prevalence of seroconversion against SARS-CoV-2 in a pediatric cohort of patients with Chilblain-like lesions

description: Supplemental materials and supplemental results of research letter to JAAD: All that glisters is not COVID: low prevalence of seroconversion against SARS-CoV-2 in a pediatric cohort of patients with Chilblain-like lesions.