The global Data Versioning Tool market size was valued at USD XXX million in 2025 and is projected to expand at a CAGR of XX% during the forecast period from 2025 to 2033. The rising need for data security, regulatory compliance, and disaster recovery is driving market growth. Additionally, the increasing adoption of big data analytics and cloud-based data management solutions is contributing to the market's growth. However, concerns regarding data privacy, security, and cost may restrain market expansion to some extent. North America emerged as the largest regional market for Data Versioning Tool in 2025, followed by Europe and Asia Pacific. The presence of well-established technology companies and early adoption of data management solutions are key factors driving regional market growth. Asia Pacific is expected to exhibit the highest growth rate during the forecast period due to increasing investment in data infrastructure and digital transformation initiatives. Key industry players in the Data Versioning Tool market include LakeFS, Idera, DeltaLake, Pachyderm, AWS, Sqitch, Dolt, Perforce, DBGeni, Version SQL, Git LFS, DVC, DBMS Tools, Neptune, Mercurial, HelixCore, and others.

Testing file versioning

The Versioning extension for CKAN provides a fundamental data versioning capability, enabling the tracking of changes to both metadata and data over time. This extension creates new revisions upon each update, ensuring access to historical data versions. Furthermore, it introduces the concept of releases, allowing users to label specific revisions and associate them with descriptions, similar to tags in version control systems. Key Features: Data and Metadata Revisioning: All dataset updates create new revisions, making past versions accessible. This ensures no data is lost and users can revert to earlier states if necessary. Releases Management: Create and manage releases, which are named labels and descriptions for specific dataset revisions (akin to VCS tags), enabling users to mark stable or significant versions of a dataset (e.g., "v1.0"). Dataset Releases List: Allows you to list all available releases for a specific dataset, enabling easy access and management of different versions. Dataset Releases Show: Displays detailed information about a specific dataset release, including its unique identifier and associated metadata, thus facilitating easy identification and access of data. Dataset Release Creation: Enables creating new releases by providing a dataset identifier, a unique name, and an optional description, thus enabling controlled versioning management. Dataset Release Deletion: Capable of deleting existing releases without affecting the underlying dataset revisions, thus promoting a flexible approach to versioning. Packageshowrelease Action: Using this action, it is possible to retrieve dataset metadata for a specific release, which is similar to the built-in 'package_show' action, but adds versioning related metadata. Technical Integration: The Versioning extension introduces new API actions within CKAN that facilitate the management and utilization of dataset revisions and releases. These API endpoints, such as datasetreleaselist, datasetreleaseshow, datasetreleasecreate, datasetreleasedelete, and packageshowrelease, integrate directly into the CKAN REST API. The extension also requires specific configuration settings in the CKAN INI file, namely ckanext.versioning.backend_type and ckanext.versioning.backend_config, to define the metastore-lib backend and its associated configurations. The extension relies on metastore-lib for handling the underlying storage. Benefits & Impact: Implementing the Versioning extension enables robust tracking of data changes in CKAN, preventing data loss and aiding in data governance. The release feature lets you designate specific versions for reference and sharing. By providing a comprehensive versioning system, it can improve data governance, enhance data quality, and support reproducibility in data-driven research or decision-making.

We present the Maven Central 2022 Dataset (MC22), based on a snapshot of Maven Central dated April 4, 2022, for our replication study and future scientific work. The dataset contains metadata on jars in Maven Central and evolution metrics on syntactically SemVer-adhering artifacts. It can be used to answer questions like: How often and when are updates of existing components published? How do version tags look like and how do their syntactical forms change over time? How common is the use of deprecation tags? and many more. The dataset contains three groups of information: Metadata on all jars in the snapshot, metrics on an- alyzed upgrades and metrics on analyzed components. The metrics are calculated seperately regarding three types of elements: public classes, public methods and protected methods.

This is a test. I'm creating a resource with some content to be published with doi. This will then be added to a test collection which is also published with doi. The test collection with then be added to a second test collection, which is published with doi. Then I will version this resource and republish. I will see if I need to version the collection to expose the updated core resource.
If I have to version the containing collection, I will do that and republish. Then I will check the second test collection to see if it has to be versioned to expose the updated first collection. This test mimics the data structure of the Harvey Data Archive, which has collections of collections of resources. Some of the innermost resources have to be versioned due to changes in linked data hosted by FEMA, which were reorganized since the Harvey Data Archive was published.

Versioning Test

The Versioned Datastore extension for CKAN provides a complete replacement for the default CKAN datastore, shifting data storage from PostgreSQL to MongoDB and leveraging Elasticsearch for indexing and search capabilities. This allows for storing and searching large, complex datasets with full versioning support, enabling users to access historical data while maintaining fast search response times. Built on Splitgill, this extension is designed for CKAN deployments needing advanced search features and the ability to handle large-scale datasets. Key Features: Full Versioning: Stores complete historical versions of resource records, allowing users to access and retrieve data from specific points in time. Unlike CKAN's default datastore, records are updated without losing access to old data. Advanced Search with Elasticsearch: Leverages Elasticsearch's extensive feature set for advanced search capabilities, including full-text search, faceting, and geospatial queries which go beyond the basic searching capabilities of a regular datastore.

Version 2

## Overview

Version 2 is a dataset for object detection tasks - it contains Bumper 5gFP annotations for 1,413 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 [Public Domain license](https://creativecommons.org/licenses/Public Domain).

open scholarship, open access, community engagement, public humanities, digital scholarship

Final Thesis Version

## Overview

Final Thesis Version is a dataset for object detection tasks - it contains Trash annotations for 1,000 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 [Public Domain license](https://creativecommons.org/licenses/Public Domain).

This dataset includes gzipped files formats native to the Surface Water Modeling System (SMS) grid generation software or *.gr3 format native to SCHISM. All are text based. Version numbers are used to track the mesh as it evolves or is modified for special study purposes. Study writeups are expected to note the version of the mesh used. As more mesh versions are added, readers may notice gaps -- a number of meshes are intermediate experiments never used for formal studies or workshops. Items are added in response to user request.

HF183/BacR287 qPCR data from standard curves and coastal water samples used to seed simulations in study. This dataset is associated with the following publication: Cao, Y., M. Sivaganesan, C. Kelty, D. Wang, A. Boehm, J. Griffith, S. Weisberg, and O. Shanks. A Human Fecal Contamination Score for Ranking Recreational Sites using the HF183/BacR287 Quantitative Real-Time PCR Method. WATER RESEARCH. Elsevier Science Ltd, New York, NY, USA, 128: 148-156, (2018).

A computer program for accessing and visualization of thermodynamic and transport property data for chemical compounds and mixtures available at the TRC/NIST ThermoML archive https://data.nist.gov/od/id/mds2-2422. The data collection contains 2.2 million distinct property values (the whole archive can also be downloaded from that link, stored, and accessed from a local storage). The program has been compiled for Windows OS and tested under Windows 10. The operation procedures are described in the embedded Help.

The Highway-Runoff Database (HRDB) was developed by the U.S. Geological Survey, in cooperation with the Federal Highway Administration (FHWA) to provide planning-level information for decision makers, planners, and highway engineers to assess and mitigate possible adverse effects of highway runoff on the Nation’s receiving waters. The HRDB was assembled by using a Microsoft Access database application to facilitate use of the data and to calculate runoff-quality statistics with methods that properly handle censored-concentration data. This data release provides highway-runoff data, including information about monitoring sites, precipitation, runoff, and event-mean concentrations of water-quality constituents. The dataset was compiled from 37 studies as documented in 113 scientific or technical reports. The dataset includes data from 242 highway sites across the country. It includes data from 6,837 storm events with dates ranging from April 1975 to November 2017. Therefore, these data span more than 40 years; vehicle emissions and background sources of highway-runoff constituents have changed markedly during this time. For example, some of the early data is affected by use of leaded gasoline, phosphorus-based detergents, and industrial atmospheric deposition. The dataset includes 106,441 concentration values with data for 414 different water-quality constituents. This dataset was assembled from various sources and the original data was collected and analyzed by using various protocols. Where possible the USGS worked with State departments of transportation and the original researchers to obtain, document, and verify the data that was included in the HRDB. This new version (1.1.0) of the database contains software updates to provide data-quality information within the Graphical User Interface (GUI), calculate statistics for multiple sites in batch mode, and output additional statistics. However, inclusion in this dataset does not constitute endorsement by the USGS or the FHWA. People who use this data are responsible for ensuring that the data are complete and correct and that it is suitable for their intended purposes.

This data release contains the data tables for the USGS North American Packrat Midden Database (version 5.0). This version of the Midden Database contains data for 3,331 packrat midden samples obtained from published sources (journal articles, book chapters, theses, dissertations, government and private industry reports, conference proceedings) as well as unpublished data contributed by researchers. Compared to the previous version of the Midden Database (i.e., ver. 4), this version of the database (ver. 5.0) has been expanded to include more precise midden-sample site location data, calibrated midden-sample age data, and plant functional type (PFT) assignments for the taxa in each midden sample. In addition, World Wildlife Fund ecoregion and major habitat type (MHT) assignments (Ricketts and others, 1999, Terrestrial ecoregions of North America—A conservation assessment) and modern climate and bioclimate data (New and others, 2002; Davis and others, 2017) are provided for each midden-sample site location.

In March 2024, devices running on ** version of the Android OS accounted for nearly ** percent of all web traffic generated by Android OS devices in Mexico, making the version the most popular in the country. It was followed by the ** version of Android OS, totaling a market share worth over ** percent.

The graph presents data on the popularity of the versions of the Bible read in the United States as of January 2017. During the survey, 31 percent of the respondents stated they most often read the King James Version of the Bible. During the same survey, 32 percent of respondents stated that they had never read the Bible, whilst 16 percent stated that they read the Bible every day. New ways of reading the Bible have begun to become popular, such as using the internet to access Bible content or searching for Bible verses on a smartphone. However, reading from a print version of the Bible still remains the most popular method.

Panorama Reduved Version

## Overview

Panorama Reduved Version is a dataset for object detection tasks - it contains Objects annotations for 2,905 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 dataset was extracted from a set of metadata files harvested from the DataCite metadata store (https://search.datacite.org/ui) during December 2015. Metadata records for items with a resourceType of dataset were collected. 1,647,949 total records were collected. This dataset contains three files: 1) readme.txt: A readme file. 2) version-results.csv: A CSV file containing three columns: DOI, DOI prefix, and version text contents 3) version-counts.csv: A CSV file containing counts for unique version text content values.

The MODIS/Terra Sea Ice Extent 5-Min L2 Swath 1km (MOD29) data set contains 1 km resolution sea ice extent, ice surface temperature, and quality assessment data, plus 5 km resolution geolocation data.

As of August 2023, this data set is retired and no longer available for download. We recommend using MODIS/Terra Sea Ice Extent 5-Min L2 Swath 1km, Version 61 as an alternative.