Tick

## Overview

Tick is a dataset for object detection tasks - it contains Tick annotations for 3,258 images.

## Getting Started

You can download this dataset for use within your own projects, or fork it into a workspace on Roboflow to create your own model.

  ## License

  This dataset is available under the [CC BY 4.0 license](https://creativecommons.org/licenses/CC BY 4.0).

Download Historical E Mini S&P Futures Data. CQG daily, 1 minute, tick, and level 1 data from 1899.

Tick Classification Sample

## Overview

Tick Classification Sample is a dataset for classification tasks - it contains Ticks annotations for 1,845 images.

## Getting Started

You can download this dataset for use within your own projects, or fork it into a workspace on Roboflow to create your own model.

  ## License

  This dataset is available under the [CC BY 4.0 license](https://creativecommons.org/licenses/CC BY 4.0).

this data sets includes banknifty and all bank which is present in Nifty Bank indices tick data. In this dataset there are last traded price, 52 week high, 52 week low, volume and other all important data

Download Historical Micro 2-Year Yield Futures Data. CQG daily, 1 minute, tick, and level 1 data from 1899.

This dataset contains data on the movement of the seabird tick, Ixodes uriae, in an artificial arena. 24 adult female and 24 nymphal I. uriae were collected on the Isle of May, Scotland on the 25th-27th March 2014 and 18th July 2013 respectively. Nymphal ticks were taken from boiler suits worn by field workers, and adult female ticks were taken from cracks in the rock face. They were then transported to a laboratory where they were individually placed in an artificial arena, composed of a single A1 piece of paper and 30 cm high walls. Straight line distances moved were then measured at fixed time intervals. This work was part of a NERC-funded PhD project looking at interactions between avian colonial social structure and tick-borne pathogen dynamics.

Download Historical U.S. Dollar Index (Settlement) Futures Data. CQG daily, 1 minute, tick, and level 1 data from 1899.

The purpose of this study is to analyse the role of risk perceptions and exposure for protective behaviour against tick bites and the related diseases Lyme borreliosis (LB) and tick-borne encephalitis (TBE), both of which are growing health concerns. We use data from a national survey in Sweden with respondents in geographical areas with substantial differences in both abundance of ticks and incidence of LB and TBE. We find that the share of respondents who frequently use protective clothing (64%), perform tick checks (63%) or avoid tall grass while in areas with ticks (48%) is relatively high. However, the use of protective measures is uneven and a considerably lower share tuck their trousers into their socks (18%), use repellent against ticks (16%) or use a combination of protective measures. Thirty-one per cent of the respondents report one or more tick bites in the last year and 68% report one or more lifetime tick bites, indicating that it is difficult to protect oneself from tick bites. There is a strong positive association between exposure and checking the skin for ticks, but exposure is only weakly associated with other protective measures. Tick bites are perceived as a serious health risk by as many as 43% of the respondents. The perception that a single tick bite is serious is negatively associated with actual exposure to ticks, while the opposite is true for the perception that tick bites constitute a serious lifetime health risk. This indicates a learning effect in relation to risk perceptions and the performance of tick checks, but not in relation to other protective measures. Recommendations include informing people of the risks associated with tick bites, the efficacy of various protective measures and the importance of combining multiple types of protection. Given the high exposure to tick bites, the growing incidence of TBE and LB, and the difficulties in preventing tick bites, other preventive measures should be further discussed, including vaccination programmes.

Purpose:

To analyse the role of risk perceptions and exposure for five protective measures against tick bites and the related diseases tick-borne encehalitis (TBE) and Lyme borreliosis (LB).

The dataset contains the variables used in the study "Learning to Live with Ticks? The Role of Exposure and Risk Perceptions in Protective Behavior Against Tick-Borne Diseases", by Slunge and Boman. The questionnaire about Ticks, TBE and Borrelia contains additional questions that are not included in this material. Data is available for download in SPSS and STATA format.

Download Historical Etherium Futures Data. CQG daily, 1 minute, tick, and level 1 data from 1899.

Tick Id

## Overview

Tick Id is a dataset for object detection tasks - it contains Ticks annotations for 2,405 images.

## Getting Started

You can download this dataset for use within your own projects, or fork it into a workspace on Roboflow to create your own model.

  ## License

  This dataset is available under the [CC BY 4.0 license](https://creativecommons.org/licenses/CC BY 4.0).

The objective of this study was to explore the R. microplus microbiome by applying the bacterial 16S tag-encoded FLX-titanium amplicon pyrosequencing (bTEFAP) technique to characterize its bacterial diversity. Pyrosequencing was performed on adult males and females, eggs, and gut and ovary tissues from adult females derived from samples of R. microplus collected during outbreaks in southern Texas. Raw data from bTEFAP were screened and trimmed based upon quality scores and binned into individual sample collections. Bacteria identified to the species level include Staphylococcus aureus, Staphylococcus chromogenes, Streptococcus dysgalactiae, Staphylococcus sciuri, Serratia marcescens, Corynebacterium glutamicum, and Finegoldia magna. One hundred twenty-one bacterial genera were detected in all the life stages and tissues sampled. The total number of genera identified by tick sample comprised: 53 in adult males, 61 in adult females, 11 in gut tissue, 7 in ovarian tissue, and 54 in the eggs. Notable genera detected in the cattle tick include Wolbachia, Coxiella, and Borrelia. The molecular approach applied in this study allowed us to assess the relative abundance of the microbiota associated with R. microplus. Ticks are regarded as the most relevant vectors of disease-causing pathogens in domestic and wild animals. The cattle tick, Rhipicephalus (Boophilus) microplus, hinders livestock production in tropical and subtropical parts of the world where it is endemic. Tick microbiomes remain largely unexplored. Resources in this dataset:Resource Title: Table 1: Estimated operational taxonomic units in samples of Rhipicephalus (Boophilus) microplus through Rarefaction, Ace, and Chao1. . File Name: Table 1_Estimated operational taxonomic units in samples of Rhipicephalus (Boophilus) microplus through Rarefaction, Ace, and Chao1.xlsxResource Title: Table 1_Estimated operational taxonomic units in samples of Rhipicephalus (Boophilus) microplus through Rarefaction, Ace, and Chao1_0. File Name: Table 1_Estimated operational taxonomic units in samples of Rhipicephalus (Boophilus) microplus through Rarefaction, Ace, and Chao1_0.csvResource Description: Rarefaction values are averaged for adult male and female (n = 2), and egg (n = 3) samples. Andreotti et al. BMC Microbiology 2011 11:6 doi:10.1186/1471-2180-11-6Resource Title: Data Dictionary, Tables 1 and S1. File Name: CattleTickBacterialDiversity_DataDictionary.csvResource Description: Machine readable CSV defines variables, sample sources for bacterial richness and diversity based on Operational Taxonomic Unit (OTU).Resource Title: Additional file 1. Table S1 - Bacterial genera detected in R. (B.) microplus. Bacterial genera detected in R. (B.) microplus samples.. File Name: 12866_2010_1293_MOESM1_ESM.PDFResource Description: Automatic PDF file download. Detection sites: AF ‐ Adult Female Tick; AM ‐ Adult Male Tick; EG ‐ Egg; GT ‐ Adult Female Gut; OV ‐ Ovary. https://static-content.springer.com/esm/art:10.1186/1471-2180-11-6/MediaObjects/12866_2010_1293_MOESM1_ESM.PDF

The dataset contains the variables used in the study "Who is afraid of ticks and tick-borne diseases? Results from a cross-sectional survey in Scandinavia", by Slunge et al 2019. The questionnaire used in the data collection contains additional questions that are not included in this material. Data is available for download in SPSS and STATA format.

Data set containing the records of ticks and mosquitoes collected under the OH SURVECTOR project in Slovakia.

These gzip files contain I-Q data dumps of Jammed GNSS signal with the following characteristics:
GNSS Band: L1
Sample frequency: 10 MHz
Jamming signal: Tick
Jamming power: 85, 80, 75, 70, 65

This project has received funding from the European Union’s Horizon Europe Research and Innovation Programme under the Grant Agreement No. 101073909.

This dataset consists of tick sampling and microclimate data from Exmoor, Richmond and New Forest study sites; as well as ARCGIS risk maps that model tick abundance driven by climate surfaces and host abundance. Tick sampling data (91 files, each representing a day of sampling) indicate tick abundance (distinguishing larvae, nymphs, adult males and adult females), vegetation height, soil moisture, temperature and relative humidity. Static risk map files indicate modeled tick abundance: 251 landcover files for the three sites, as well as 36 ArcView map files. The study is part of the NERC Rural Economy and Land Use (RELU) programme. Many people take pleasure from activities in forests and wild lands in the UK and others are being encouraged to participate. Unfortunately, there are risks and one of the most insidious is the possibility (albeit tiny) of acquiring a disease from wild animals; for example, ticks can be vectors of the bacterial infection leading to Lyme Disease. Both diagnosis and treatment can be problematic so prevention of acquiring such disease is highly desirable. Surprisingly little is known about how best to warn countryside users about the potential for disease without scaring them away or spoiling their enjoyment. Answering such questions was the goal of this project, and required the integration of a diverse set of scientific skills, and an understanding of the views of those who manage countryside, those who have contracted zoonotic diseases and those who access the land. This project combined knowledge from three strands of work, namely risk assessment, risk perception and communication, and scenario analysis. The study sites were selected to provide a range of environmental conditions and countryside use. Peri-urban parkland, accessible lowland forest and heath and remote upland forest were chosen as represented by Richmond Park on the fringe of Greater London, the New Forest in Southern England, and Exmoor in South West England. The following additional data from this same research project are available at the UK Data Archive under study number 6892 (see online resources): Lyme disease risk perception data resulting from tick imagery vignette experiments, Lyme disease patient interviews and surveys, residents and countryside staff focus groups, forest manager interviews, and multiple scoring procedures of animal social representation; as well as Lyme and tick risk communication data resulting from interviews with organisations and content analysis of risk warning information leaflets, Further documentation for this study may be found through the RELU Knowledge Portal and the project's ESRC funding award web page (see online resources).

The study estimates the willingness to pay (WTP) for TBE vaccination and the effect of a possible TBE vaccine subsidy on vaccination rates in Sweden. We also estimate the current vaccination coverage in areas differing in TBE incidence and analyze the role of income, risk behavior and other factors influencing vaccine demand.

Purpose:

To estimate the willingness to pay (WTP) for TBE vaccination and the effect of a possible TBE vaccine subsidy on vaccination rates in Sweden.

The data set contains the variables used in the study The Willingness to Pay for Vaccination against Tick-borne Encephalitis and Implications for Public Health Policy: Evidence from Sweden, published in PLOS ONE. The survey on Ticks, TBE and Lyme Disease contains additional questions not included in this dataset. The dataset are available for direct download in SPSS and Excel format.

Stock Market Data: 9,000+ Tickers (1962 - Present)

Dataset Overview

This dataset offers comprehensive historical stock market data covering over 9,000 tickers from 1962 to the present day. It includes essential daily trading information, making it suitable for various financial analyses, trend studies, and algorithmic trading model development.

Columns

• Date: The date of the recorded trading data.
• Ticker: The stock symbol of the company.
• Open: Opening price of the stock on the trading day.
• High: Highest price reached during the trading day.
• Low: Lowest price reached during the trading day.
• Close: Closing price of the stock on the trading day.
• Volume: The total number of shares traded during the day.
• Dividends: Cash dividends issued on the date, if applicable.
• Stock Splits: Stock split factor for the date, if any split occurred.

Usage

This dataset is ideal for: - Time-Series Analysis: Track stock price trends over time, examining daily, monthly, and yearly patterns across sectors. - Algorithmic Trading: Develop and backtest trading strategies using historical price movements and volume data. - Machine Learning Applications: Train models for stock price prediction, volatility forecasting, or portfolio optimization. - Quantitative Research: Perform event studies, analyze the impact of dividends and stock splits, and assess long-term investment strategies. - Comparative Analysis: Evaluate performance across industries or against broader market trends by analyzing multiple tickers in one dataset.

This dataset serves as a robust resource for academic research, quantitative finance studies, and financial technology development.

This dataset contains plaque reduction neutralisation test (PRNT) results for common guillemot (Uria aalge) blood samples tested against twelve strains of a tick-borne virus, Great Island virus. 144 individual pre-breeding and breeding guillemots were captured between 1993 and 1995 on the Isle of May, Scotland and blood samples collected on filter paper. Plaque reduction neutralisation tests (PRNT) were then performed on these blood samples to detect virus strain-specific neutralising antibodies. Part of this dataset is presented in the peer-reviewed article Nunn et al. (2006) Parasitology 132: 233-40. This work was part of a NERC-funded PhD project looking at interactions between avian colonial social structure and tick-borne pathogen dynamics.

These gzip files contain I-Q data dumps of Jammed GNSS signal with the following characteristics:
GNSS Band: L1
Sample frequency: 20 MHz
Jamming signal: Tick
Jamming power: 85, 80, 75, 70, 65, 60, 55

This project has received funding from the European Union’s Horizon Europe Research and Innovation Programme under the Grant Agreement No. 101073909.

1. The series of files named as ‘*_polarity.csv’ in folder ‘polarity’ includes the trading polarities of stocks listed on Shenzhen Stock Exchange from May 4 to July 31 2015. The eight numbers in the filenames specify the dates. The columns of these dataframes indicate the stock names, while the indices of dataframes indicate the time. The granularity of trading polarity is 1 minute for every stock. These trading polarities are calculated from the serial numbers for buyers and sellers in transactions data. The original transactions data is not publicly available due to the company’s license requirement.2. The files in the 'log_ret' folder cover the log returns of 1646 stocks listed on Shenzhen Stock Exchange from May 4 to July 31 2015. These data are calculated from the intraday price trends data provided by Thomson Reuters’ Tick History. The original price trends data is not publicly available due to the company’s license requirement.3. The file named as "stock_market_value.csv" gives the capitalization of stocks in June 31 2015, which is downloaded from Wind Information and we have converted the unit of measure from RMB into a dollar. Due to license requirements of the data companies, all of the above files have converted the names of stocks into integers in a consistent way. 4. Please cite the following paper:Shan Lu, Jichang Zhao and Huiwen Wang. Trading Imbalance in Chinese Stock Market—A High-Frequency View. Entropy, 2020, 22(8), 897.