Orgi Rota Fli Dataset

## Overview

Orgi Rota Fli Dataset is a dataset for object detection tasks - it contains Zx annotations for 435 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 MIT-BIH Arrhythmia Database contains 48 half-hour excerpts of two-channel ambulatory ECG recordings, obtained from 47 subjects studied by the BIH Arrhythmia Laboratory between 1975 and 1979. Twenty-three recordings were chosen at random from a set of 4000 24-hour ambulatory ECG recordings collected from a mixed population of inpatients (about 60%) and outpatients (about 40%) at Boston's Beth Israel Hospital; the remaining 25 recordings were selected from the same set to include less common but clinically significant arrhythmias that would not be well-represented in a small random sample.

In 1998, the Florida Fish and Wildlife Conservation Commission's (FWC) Fisheries Independent Monitoring (FIM) program began a long-term monitoring effort of key reef fish populations in the Florida Keys National Marine Sanctuary. This effort was aimed at evaluating the relative abundance, size structure, and habitat utilization of specific reef fish species that are targeted by commercial and recreational fisheries.

Orphanet (rare disease portal): this dataset is used to add Orphanet disease names to the Human Phenotype Ontology annotation dataset

Graph and download economic data for Employment Level (CE16OV) from Jan 1948 to Jun 2025 about civilian, 16 years +, household survey, employment, and USA.

The 2016 PhysioNet/CinC Challenge aims to encourage the development of algorithms to classify heart sound recordings collected from a variety of clinical or nonclinical (such as in-home visits) environments. The aim is to identify, from a single short recording (10-60s) from a single precordial location, whether the subject of the recording should be referred on for an expert diagnosis.

.ORG.MX Whois Database, discover comprehensive ownership details, registration dates, and more for .ORG.MX TLD with Whois Data Center.

Homo sapiens gene information: Additional Homo sapiens gene information from NCBI-Gene.

Constrained estimates of total number of people per grid square broken down by gender and age groupings (including 0-1 and by 5-year up to 90+) for Republic of Korea, version v1. The dataset is available to download in Geotiff format at a resolution of 3 arc (approximately 100m at the equator). The projection is Geographic Coordinate System, WGS84. The units are estimated number of male, female or both in each age group per grid square.

More information can be found in the Release Statement

The difference between constrained and unconstrained is explained on this page: https://www.worldpop.org/methods/top_down_constrained_vs_unconstrained

File Descriptions:

{iso} {gender} {age group} {year} {type} {resolution}.tif

iso

Three-letter country code

gender

m = male, f= female, t = both genders

age group

• 00 = age group 0 to 12 months
• 01 = age group 1 to 4 years
• 05 = age group 5 to 9 years
• 90 = age 90 years and over

year

Year that the population represents

type

CN = Constrained , UC= Unconstrained

resolution

Resolution of the data e.q. 100m = 3 arc (approximately 100m at the equator)

epilepsy

Graph and download economic data for Gross Domestic Product: Implicit Price Deflator (GDPDEF) from Q1 1947 to Q1 2025 about implicit price deflator, headline figure, inflation, GDP, and USA.

Detailed information about the Organisation ORG-JCE1-RIPE.

Explore the historical Whois records related to nwwinerycalculators.org (Domain). Get insights into ownership history and changes over time.

O_WESTERSCHELDE - Eurasian oystercatchers (Haematopus ostralegus, Haematopodidae) breeding in East Flanders (Belgium) is a bird tracking dataset published by the Research Institute for Nature and Forest (INBO). It contains animal tracking data collected by the LifeWatch GPS tracking network for large birds (http://lifewatch.be/en/gps-tracking-network-large-birds) for the project/study O_WESTERSCHELDE, using trackers developed by the University of Amsterdam Bird Tracking System (UvA-BiTS, http://www.uva-bits.nl). The study was operational from 2018 to 2020. In total 13 individuals of Eurasian oystercatchers (Haematopus ostralegus) have been tagged in their breeding area in East Flanders (Belgium), west of the river Scheldt, mainly to study their habitat use on mudflats of the Western Scheldt (the Netherlands). Data are uploaded from the UvA-BiTS database to Movebank and from there archived on Zenodo (see https://github.com/inbo/bird-tracking). No new data are expected.

See van der Kolk et al. (2022, https://doi.org/10.3897/zookeys.1123.90623) for a more detailed description of this dataset.

This dataset was collected using infrastructure provided by INBO and funded by Research Foundation - Flanders (FWO) as part of the Belgian contribution to LifeWatch. Additional funding was provided by the Sovon Dutch Centre for Field Ornithology.

Data have been standardized to Darwin Core using the movepub R package and are downsampled to the first GPS position per hour. The original data are available in Spanoghe et al. (2023, https://doi.org/10.5281/zenodo.10053702), a deposit of Movebank study 1099562810.

Detailed information about the Organisation ORG-RL567-RIPE.

Graph and download economic data for Household Debt Service Payments as a Percent of Disposable Personal Income (TDSP) from Q1 1980 to Q1 2025 about disposable, payments, debt, personal income, percent, personal, households, services, income, and USA.

Octocoral colony density by taxon, year, site, and life stage from surveys conducted in St. John, US Virgin Islands from 2014 to 2017. These data were used in Edmunds and Lasker (2019) Figure S5.

Related Datasets: all were used in Edmunds and Lasker (2019):

• Edmunds and Lasker MEPS 2019 Fig 1a: Density pooled taxa and one year https://www.bco-dmo.org/dataset/789128
• Edmunds and Lasker MEPS 2019 Fig 1b: Height pooled taxa and one year https://www.bco-dmo.org/dataset/789140
• Edmunds and Lasker MEPS 2019 Fig 2a: Density by taxon and year https://www.bco-dmo.org/dataset/789145
• Edmunds and Lasker MEPS 2019 Fig 2b: Height by taxon and year https://www.bco-dmo.org/dataset/789149
• Edmunds and Lasker MEPS 2019 Fig 3: Community NMDS https://www.bco-dmo.org/dataset/789181
• Edmunds and Lasker MEPS 2019 Fig S1: Sampling effort https://www.bco-dmo.org/dataset/789188
• Edmunds and Lasker MEPS 2019 Fig S3: Sampling effort, juveniles https://www.bco-dmo.org/dataset/789195
• Edmunds and Lasker MEPS 2019 Fig S4: Colony sizes https://www.bco-dmo.org/dataset/789202
• Edmunds and Lasker MEPS 2019 Fig S5a: Density https://www.bco-dmo.org/dataset/789210
• Edmunds and Lasker MEPS 2019 Fig S5b: Height https://www.bco-dmo.org/dataset/789217

Detailed information about the Organisation ORG-AGL42-RIPE.

Constrained estimates of total number of people per grid square broken down by gender and age groupings (including 0-1 and by 5-year up to 90+) for Western Sahara, version v1. The dataset is available to download in Geotiff format at a resolution of 3 arc (approximately 100m at the equator). The projection is Geographic Coordinate System, WGS84. The units are estimated number of male, female or both in each age group per grid square.

More information can be found in the Release Statement

The difference between constrained and unconstrained is explained on this page: https://www.worldpop.org/methods/top_down_constrained_vs_unconstrained

File Descriptions:

{iso} {gender} {age group} {year} {type} {resolution}.tif

iso

Three-letter country code

gender

m = male, f= female, t = both genders

age group

• 00 = age group 0 to 12 months
• 01 = age group 1 to 4 years
• 05 = age group 5 to 9 years
• 90 = age 90 years and over

year

Year that the population represents

type

CN = Constrained , UC= Unconstrained

resolution

Resolution of the data e.q. 100m = 3 arc (approximately 100m at the equator)

The world is filled with nature watchers, from trampers to hunters, birders to beach-combers, and pros to school kids. Many of us keep notes of what we find. What if all those observations could be shared online? You might learn about the butterflies that live in your neighbourhood, or discover someone who knows all about the plants in your favourite reserve. For a long time, everyone's notes have been scattered in notebooks, private spreadsheets and dusty library shelves. As a society, we have seen a lot but collectively we remain blind to most changes in our biodiversity. If enough people record their observations on NatureWatch NZ, we can change all this. We can build a living record of life in New Zealand that scientists and environmental managers can use to monitor changes in biodiversity, and that anyone can use to learn more about New Zealand's amazing natural history. Only "research-quality" observations are used in this data set - that is observations that have their species identification peer-reviewed by at least one independent source. All biodiversity observations are available at http://naturewatch.org.nz/. NatureWatch NZ is run by the New Zealand Bio-Recording Network Trust, a charitable trust dedicated to bio-recording. Our lofty aims are: (1) To increase knowledge, understanding, and appreciation of New Zealand's natural history.(2) To engage and assist New Zealanders in observing and recording biological information.(3)To develop and support online tools to assist individuals and groups to record, view, share and use biological information. (4) To collaborate with people and groups interested in bio-recording. (5) To promote and provide secure, open, and ethical sources of biological information for the public.