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Combination Calculator (nCr) - Find the possible …
The formula to determine the number of possible combinations is as follows: C(n, r) = n! r!(n − r)! Where, n is the total number in the dataset. r is the number you select from this dataset & n C r is the number of combinations. Our ncr calculator uses this formula for the accurate & speedy calculations of all the elements of the dataset.
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Updated: 8 hours ago
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Machine Learning with the Titanic Dataset | by Benedikt ...
Kaggle notes: pclass: A proxy for socio-economic status (SES) 1st = Upper 2nd = Middle 3rd = Lower. sibsp: The dataset defines family relations in this way… Sibling = brother, sister, stepbrother, stepsister Spouse = husband, wife (mistresses and fiancés were ignored). parch: The dataset defines family relations in this way… Parent = mother, father Child = …
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Updated: 1 hours ago
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Stanford Large Network Dataset Collection
Stanford Large Network Dataset Collection. Social networks: online social networks, edges represent interactions between people; Networks with ground-truth communities: ground-truth network communities in social and information networks; Communication networks: email communication networks with edges representing communication; Citation networks: nodes …
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Apollo
Apollo Synthetic Dataset. Apollo Synthetic is a photo-realistic synthetic dataset for autonomous driving. ... without limitation, the following: first and last name, address, telephone number, email address, Social Security number, government identification number (including, Passport number, driver’s license number or state identification ...
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Updated: 6 hours ago
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telecom Any CDR (call data record) dataset Open Data
Help Center Detailed answers to any questions you might have While looking for Dataset for call data in the telecom domain, I bumped into the following STRUCTURED Data samples spanning call logs/comapliants related features - Any data about Mobile P
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Updated: 7 hours ago
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Uniform Closing Dataset Collection Solution Fannie Mae
Contact the UCD team. Uniform Closing Dataset Collection Solution Availability. Every day, 24 hours a day, except from 1 a.m. to 5 a.m. ET the first and third Sunday of every month due to maintenance. Your Fannie Mae representative is also available to assist you.
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Updated: 6 hours ago
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General Information: Support docs, user's guides, and videos
Top General Information Videos. UAD - a la mode's Uniform Appraisal Dataset features. Uniform Appraisal Dataset, Field By Field in a URAR. Paperless Appraising with Greg Mellies - Using TOTAL for Mobile and Disto. Tip from the Roadshow: Automaticall
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Updated: 2 hours ago
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Error Detected "Data Load Not Avidyne Pilot Support
Each dataset in a Jeppesen subscription has an associated number of “Transfers remaining”, known as the “count”, shown in JDM. The count represents the number of times that a particular dataset can be downloaded and each time the dataset is programm
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Updated: 2 hours ago
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Walmart dataset - zeitraum-stressbewaeltigung.de
Walmart Dataset A collection of Walmart import records, distribution centers, vendors, etc. See the pricing page for details. Download Datasets. Introductions: Mop is commonly seen in every family. ; The Walmart 52-week high stock price is 153. العربية. Historical daily share price chart and data for Walmart since 1972 adjusted for ...
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Updated: 1 hours ago
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What is the COCO Dataset? What you need to know in 2021 ...
The COCO dataset contains challenging, high-quality visual datasets for computer vision, mostly state-of-the-art neural networks. For example, COCO is often used to benchmark algorithms to compare the performance of real-time object detection. The format of the COCO dataset is automatically interpreted by advanced neural network libraries.
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Updated: 3 hours ago
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Razorpay IFSC Toolkit
Razorpay IFSC Toolkit Process IFSC codes via our toolkit. Fire up your tools and query our API for the IFSC codes. An API to query IFSC codes; IFSC dataset available for download; Code to generate the dataset; A blog post on the "why" API Docs Dataset GitHub PHP Node.js Ruby Docker Elixir
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WISDM Lab: Dataset - Fordham
Last Updated: Oct. 22, 2013. This dataset contains "real world" data. If you are interested in controlled testing data, please consider our Actitivty Prediction Dataset. This data has been released by the Wireless Sensor Data Mining (WISDM) Lab.
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Updated: 4 hours ago
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"NTU RGB+D" Action Recognition Dataset - GitHub
"NTU RGB+D" dataset contains 60 action classes, and "NTU RGB+D 120" dataset contains 120 action classes. The actions in these two datasets are listed below. Note that actions labelled from A1 to A60 are in "NTU RGB+D", while actions labelled from A1 to A120 are in "NTU RGB+D 120". A1. drink water. A2. eat meal/snack. A3. brushing teeth.
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PanNuke Dataset
Jevgenij Gamper, Navid A. Koohbanani, Simon Graham, Mostafa Jahanifar, Syed Ali Khurram, Ayesha Azam, Katherine Hewitt, Nasir Rajpoot PanNuke Dataset Extensions, Insights and Baselines Arxiv, 2020. Work in progress. Jevgenij Gamper, Navid A. Koohbanani, Ksenija Benes, Ali Khuram, Nasir Rajpoot PanNuke: An Open Pan-Cancer Histology Dataset for
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Number Plate Datasets | Plate Recognizer ALPR
Dataset of license plate photos for computer vision. Some research groups provide clean and annotated datasets. However most dataset are rather small. Those dataset may be used by any object detection frameworks like YOLO or SSD if the bounding boxes are provided. However some work is necessary to reformat the dataset.
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Updated: 1 hours ago
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[1705.06950] The Kinetics Human Action Video Dataset
We describe the DeepMind Kinetics human action video dataset. The dataset contains 400 human action classes, with at least 400 video clips for each action. Each clip lasts around 10s and is taken from a different YouTube video. The actions are human focussed and cover a broad range of classes including human-object interactions such as playing …
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Updated: 2 hours ago
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How to Develop Random Forest Ensembles With XGBoost
The number of features used at each split point when training a model can be specified via the “colsample_bynode” argument and takes a percentage of the number of columns in the dataset from 0.0 to 1.0 (100 percent of input rows in the training dataset). If we had 20 input variables in our training dataset and the heuristic for classification problems is the square …
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Updated: 8 hours ago
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Cortical MM^3 — MICrONS Explorer
This IARPA MICrONS dataset spans a 1.4mm x .87mm x .84 mm volume of cortex in a P87 mouse. It is 400x larger than the previously released Phase 1 dataset, which can be found here.The dataset was imaged using two-photon microscopy, microCT, and serial electron microscopy, and then reconstructed using a combination of AI and human proofreading.
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NHDPlus High Resolution | U.S. Geological Survey
The NHDPlus HR is a geospatial dataset depicting the flow of water across the Nation's landscapes and through the stream network. The NHDPlus HR is built using the National Hydrography Dataset High Resolution data at 1:24,000 scale or more detailed, the 10 meter 3D Elevation Program data, and the nationally complete Watershed Boundary Dataset.
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K-Means clustering of MNIST dataset - Decipher To Know
The clustering of MNIST digits images into 10 clusters using K means algorithm by extracting features from the CNN model and achieving an accuracy of 98.5%. And also we will understand different aspects of extracting features from images, and see how we can use them to feed it to the K-Means algorithm.
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Machine Learning With Python - Quick Guide
Next, load the digit dataset from sklearn and make an object of it. We can also find number of rows and columns in this dataset as follows −. from sklearn.datasets import load_digits digits = load_digits() digits.data.shape Output (1797, 64) The above output shows that this dataset is having 1797 samples with 64 features.
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All-optical machine learning using diffractive deep neural ...
By increasing the number of diffractive layers to N = 10 and the total number of neurons to 0.4 million, our classification accuracy increased to 86.60% (fig. S5). For convolutional neural net–based standard deep learning, the state-of-the-art performance for Fashion-MNIST classification accuracy has been reported as 96.7%, using ~8.9 million ...
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Proxy Virtual Worlds VKITTI 2 - Naver Labs Europe
The Virtual KITTI 2 dataset is an adaptation of the Virtual KITTI 1.3.1 dataset as described in the papers below. CITATION. When using or referring to this dataset in your research, please cite the papers below and cite Naver as the originator of Virtual KITTI 2, an adaptation of Xerox’s Virtual KITTI Dataset. BibTex:
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Updated: 6 hours ago
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Fire and smoke detection with Keras and Deep Learning ...
Figure 2: Today’s fire detection dataset is curated by Gautam Kumar and pruned by David Bonn (both of whom are PyImageSearch readers). We will put the dataset to work with Keras and deep learning to create a fire/smoke detector. The dataset we’ll be using for fire and smoke examples was curated by PyImageSearch reader, Gautam Kumar. Guatam gathered a …
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Updated: 3 hours ago
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How to use Learning Curves to Diagnose Machine Learning ...
A learning curve is a plot of model learning performance over experience or time. Learning curves are a widely used diagnostic tool in machine learning for algorithms that learn from a training dataset incrementally. The model can be evaluated on the training dataset and on a hold out validation dataset after each update during training and plots of the measured …
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The CTU-13 Dataset. A Labeled Dataset ... - Stratosphere IPS
The CTU-13 is a dataset of botnet traffic that was captured in the CTU University, Czech Republic, in 2011. The goal of the dataset was to have a large capture of real botnet traffic mixed with normal traffic and background traffic. The CTU-13 dataset consists in …
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GitHub - zhonge/cryodrgn: Neural networks for cryo-EM ...
The number of epochs -n refers to the number of full passes through the dataset for training, and should be modified depending on the number of particles in the dataset. For a 100k particle dataset on 1 V100 GPU, the above settings required ~6 min/epoch for D=128 images + default architecture, ~12 min/epoch for D=128 images + large architecture ...
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Updated: 7 hours ago
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REDCap - Penn State Clinical and Translational Science ...
REDCap can remove identifiers from a dataset before exporting for analysis to create either a limited dataset or a safe harbor dataset. A safe harbor dataset is the removal of the 18 pieces of information considered identifiers for the purposes of HIPAA compliance. All investigators are encouraged to use REDCap for capturing research data.
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Number of deaths in care homes notified to the Care ...
Dataset Number of deaths in care homes notified to the Care Quality Commission, England ... by local authority. Published by the Office for National Statistics and Care Quality Commission. Edition in this dataset. 2022 edition of this dataset . xlsx (356.9 KB) 2021 edition of this dataset ... Contact details for this dataset. Sarah Caul health ...
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Updated: 1 hours ago
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Titanic Dataset Analysis in R | Best Way to Learn Data Science
The titanic dataset is a famous dataset that most researchers use. This dataset empowers learners to boost their knowledge of data science. Besides, R is a powerful programming language that supports analysis in a promising way.
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Updated: 3 hours ago
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Deploying Deep Learning Models on the Web With Flask ...
# Image Resolution img_rows, img_cols = 28, 28 # Loading the data. (x_train, y_train), (x_test, y_test) = mnist.load_data() Step 4: Data Pre-Processing. In this step we need to make sure that the training data is pre-processed and tuned to the same direction; if your inputs are of different sizes, the performance of your network will be inaccurate.
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A Large Scale Fish Dataset | Kaggle
At the end of the augmentation process, the number of total images for each class became 2000; 1000 for the RGB fish images and 1000 for their pair-wise ground truth labels. Description of the dataset. The dataset contains 9 different seafood types. For each class, there are 1000 augmented images and their pair-wise augmented ground truths.
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Read .nc (netcdf) files using python - Stack Overflow
from matplotlib import pyplot as plt # import libraries import pandas as pd # import libraries import netCDF4 # import libraries fp='uwstemp.nc' # your file name with the eventual path nc = netCDF4.Dataset(fp) # reading the nc file and creating Dataset """ in this dataset each component will be in the form nt,nz,ny,nx i.e. all the variables ...
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Viewing Data - SAS Tutorials - LibGuides at Kent State ...
A SAS dataset can be viewed as a spreadsheet using the Viewtable window.To open a dataset in the Viewtable window: In the Explorer window, double-click on the Libraries icon to display the libraries that are available in the current session. If the dataset was created without being stored to a user-created library, it will be located in the "Work" library.
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Updated: 5 hours ago
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GitHub - microsoft/ORBIT-Dataset: The ORBIT dataset is a ...
The ORBIT dataset is a collection of videos of objects in clean and cluttered scenes recorded by people who are blind/low-vision on a mobile phone. The dataset is presented with a teachable object recognition benchmark task which aims to drive few-shot learning on challenging real-world data. - GitHub - microsoft/ORBIT-Dataset: The ORBIT dataset is a …
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Prediction models for the risk of total knee replacement ...
We included 2658 participants from MOST (mean age 624 years [SD 81], 1646 [619%] women) in the training dataset and 4060 participants from OAI (mean age 609 years [91], 2379 [586%] women) in the validation dataset. 290 (109%) participants in the training dataset and 174 (43%) in the validation dataset had total knee replacement.
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How to Use AutoKeras for Classification and Regression
Sonar Dataset (sonar.csv) Sonar Dataset Description (sonar.names) No need to download the dataset; we will download it automatically as part of the example. First, we can download the dataset and split it into a randomly selected train and test set, holding 33 percent for test and using 67 percent for training. The complete example is listed below.
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BODMAS Malware Dataset
BODMAS Malware Dataset View on GitHub. Update (12/15/2021) - Malware category information is available at Google Drive. Update (08/29/2021) - Source code is available at: GitHub BODMAS is short for Blue Hexagon Open Dataset for Malware AnalysiS.We collaborate with Blue Hexagon to release a dataset containing timestamped malware samples and well …
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load iris dataset as pandas dataframe Code Example
how to split image dataset into training and test set keras how to know the length of a dataset tensorflow ValueError: With n_samples=0, test_size=0.2 and train_size=None, the resulting train set will be empty.
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tf.data.Dataset: how to get the dataset size (number of ...
how can I get the number of elements that are inside the dataset (hence, the number of single elements that compose an epoch)? I know that tf.data.Dataset already knows the dimension of the dataset, because the repeat() method allows repeating the input pipeline for a specified number of epochs. So it must be a way to get this information.
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Updated: 2 hours ago
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fastMRI Dataset
Table 1: Number of scans for the different contrasts of the knee raw dataset. Brain MRI : Data from 6,970 fully sampled brain MRIs obtained on 3 and 1.5 Tesla magnets. The raw dataset includes axial T1 weighted, T2 weighted and FLAIR images.
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Updated: 4 hours ago
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The Street View House Numbers (SVHN) Dataset
SVHN is a real-world image dataset for developing machine learning and object recognition algorithms with minimal requirement on data preprocessing and formatting. It can be seen as similar in flavor to MNIST (e.g., the images are of small cropped digits), but incorporates an order of magnitude more labeled data (over 600,000 digit images) and ...
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Updated: 6 hours ago
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18 Open-Source Computer Vision Projects - Analytics Vidhya
MPII. MPII Human Pose dataset is a state of the art benchmark for evaluation of articulated human pose estimation. The dataset includes around 25K images containing over 40K people with annotated body joints. Overall the dataset covers 410 human activities and each image has an activity label. HUMANEVA
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Updated: 7 hours ago
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MNIST handwritten digit database, Yann LeCun, Corinna ...
The MNIST database of handwritten digits, available from this page, has a training set of 60,000 examples, and a test set of 10,000 examples. It is a subset of a larger set available from NIST. The digits have been size-normalized and centered in a fixed-size image.
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3.3. The MNIST Dataset — conx 3.7.9 documentation
The MNIST digits are grayscale images, with each pixel represented as a single intensity value in the range 0 (black) to 1 (white). You can think of the whole image as consisting of 784 numbers arranged in a plane of 28 rows and 28 columns.
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Image Classification in 10 Minutes with MNIST Dataset | by ...
MNIST Dataset and Number Classification by Katakoda. Before diving into this article, I just want to let you know that if you are into deep learning, I believe you should also check my other articles such as: 1 — Image Noise Reduction in 10 Minutes with Deep Convolutional Autoencoders where we learned to build autoencoders for image denoising;
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Chinese MNIST | Kaggle
The Chinese MNIST dataset uses data collected in the frame of a project at Newcastle University. Project Description. One hundred Chinese nationals took part in data collection. Each participant wrote with a standard black ink pen all 15 numbers in a table with 15 designated regions drawn on a white A4 paper.
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mnist_784 - OpenML
Drawing sensible conclusions from learning experiments requires that the result be independent of the choice of training set and test among the complete set of samples. Therefore it was necessary to build a new database by mixing NIST's datasets. The MNIST training set is composed of 30,000 patterns from SD-3 and 30,000 patterns from SD-1.
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Fashion MNIST | Kaggle
The original MNIST dataset contains a lot of handwritten digits. Members of the AI/ML/Data Science community love this dataset and use it as a benchmark to validate their algorithms. In fact, MNIST is often the first dataset researchers try. "If …
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Updated: 2 hours ago
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Simple Neural Network on MNIST Handwritten Digit Dataset ...
The first 5 images of MNIST Digit dataset. The images above show the digit written by hand (X) along with the label (y) above each images. As I promise earlier, now we will turn all the labels into one-hot representation.It can be done easily by using to_categorical() function from Keras module. Before using the function into our main program, I will explain a bit about how …
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Frequently Asked Questions
What is the petrol dataset?
Petroleum Dataset The petroleum datasets contain information on all known oil and gas deposits throughout the world. Two datasets are available: one for on-shore deposits and another for off-shore deposits.
How does KYC services fund dataset work?
Additionally, through KYC Services Fund Dataset you can also access accurate and dynamic data on investment managers and over 230,000 underlying funds through an automated feed, including linked active funds. Our technology platform supports bilateral exchange with clients through a secure centralized environment.
How do I create a panel dataset?
Depending on the complexity of your task, the easiest way to approach a panel dataset is to create it in Excel; and then transfer the data (as shown in the form of the figure below) into an econometric software like Stata.
What is the @Magix dataset?
MAGIX is a register of geophysical surveys held by the Western Australian Department of Mines, Industry Regulation and Safety. This dataset doesn’t have any APIs available at the moment.
When does the ERA5 dataset cover?
Here we document the ERA5 dataset, which, eventually, will cover the period from January 1950 onwards. Complete ERA5 data released so far covers the period from 1979 and continues to be extended forward in near real time. For up to date information on ERA5, please consult the C3S Announcements on the Copernicus user forum.