OpenVertebrate has launched a free, accessible database containing over 13,000 3D scans of vertebrate specimens, including skeletons and soft tissue. Sourced from museums and research institutions worldwide, these scans allow researchers, educators, and the public to explore vertebrate anatomy and evolution in detail. The project aims to democratize access to these resources, enabling new discoveries and educational opportunities without requiring physical access to the specimens themselves. Users can download, 3D print, or view the models online using a dedicated viewer.
OpenNutrition is a free and open-source nutrition database aiming to be comprehensive and easily accessible. It allows users to search for foods by name or barcode, providing detailed nutritional information like calories, macronutrients, vitamins, and minerals. The project aims to empower individuals, researchers, and developers with reliable nutritional data, fostering healthier eating habits and facilitating innovation in the food and nutrition space. The database is actively growing and encourages community contributions to improve its coverage and accuracy.
HN users generally praised OpenNutrition's clean interface and the usefulness of a public, searchable nutrition database. Several commenters expressed interest in contributing data, particularly for foods outside the US. Some questioned the data source's accuracy and completeness, particularly for branded products, and suggested incorporating data from other sources like the USDA. The discussion also touched upon the complexity of nutrition data, including varying serving sizes and the difficulty of accurately capturing all nutrients. A few users pointed out limitations of the current search functionality and suggested improvements like fuzzy matching and the ability to search by nutritional content.
The European Space Agency's Euclid mission has released its first batch of data, revealing stunning images of distant galaxies and cosmic objects. This initial data release, while just a glimpse of Euclid's full potential, demonstrates the telescope's exceptional performance and ability to capture sharp, high-resolution images across a wide range of wavelengths. The data includes insights into galactic structures, star clusters, and the distribution of dark matter, promising groundbreaking discoveries in cosmology and our understanding of the universe's expansion. This public release allows scientists worldwide to begin exploring the vast dataset and paves the way for further insights into dark energy and dark matter.
Several commenters on Hacker News expressed excitement about the initial image release from the Euclid telescope and the potential for future scientific discoveries. Some highlighted the sheer scale of the data being collected and the challenges in processing and analyzing it. A few discussed the technical aspects of the mission, such as the telescope's instruments and its orbit. Others focused on the implications for cosmology and our understanding of dark matter and dark energy. One commenter drew a comparison to the early days of the internet, suggesting that the Euclid data could lead to unexpected breakthroughs in various fields. Several expressed anticipation for future data releases and the discoveries they might hold.
Mark VandeWettering's blog post announces the launch of Wyvern, an open satellite imagery data feed. It provides regularly updated, globally-sourced, medium-resolution (10-meter) imagery, processed to be cloud-free and easily tiled. Intended for hobbyists, educators, and small companies, Wyvern aims to democratize access to this type of data, which is typically expensive and difficult to obtain. The project uses a tiered subscription model with a free tier offering limited but usable access, and paid tiers offering higher resolution, more frequent updates, and historical data. Wyvern leverages existing open data sources and cloud computing to keep costs down and simplify the process for end users.
Hacker News users discussed the potential uses and limitations of Wyvern's open satellite data feed. Some expressed excitement about applications like disaster response and environmental monitoring, while others raised concerns about the resolution and latency of the imagery, questioning its practical value compared to existing commercial offerings. Several commenters highlighted the importance of open-source ground station software and the challenges of processing and analyzing the large volume of data. The discussion also touched upon the legal and ethical implications of accessing and utilizing satellite imagery, particularly concerning privacy and potential misuse. A few users questioned the long-term sustainability of the project and the possibility of Wyvern eventually monetizing the data feed.
Satellogic has launched a free, near real-time satellite imagery feed called "Open Satellite Feed." This public stream provides up to 10 revisits per day of select areas of interest, offering a unique resource for observing dynamic events like natural disasters and urban development. While the resolution isn't as high as their commercial products, the frequent revisits and open access make it a valuable tool for researchers, developers, and anyone interested in monitoring changes on Earth's surface. The feed provides browse imagery and metadata, enabling users to track specific locations over time and access the full-resolution imagery for a fee if needed.
Hacker News users generally expressed excitement about Satellogic's open data feed, viewing it as a significant step towards more accessible satellite imagery. Some praised the move's potential for positive societal impact, including disaster response and environmental monitoring. Several commenters questioned the true openness of the data, citing limitations on resolution and area coverage as potential drawbacks compared to fully open data. Others discussed the business model, speculating on Satellogic's motivations and the potential for future monetization through higher resolution imagery or value-added services. A few technically-inclined users inquired about the data format, processing requirements, and potential integration with existing tools. There was some discussion about the competitiveness of Satellogic's offering compared to existing commercial and government satellite programs.
GGInsights offers free monthly dumps of scraped Steam data, including game details, pricing, reviews, and tags. This data is available in various formats like CSV, JSON, and Parquet, designed for easy analysis and use in personal projects, market research, or academic studies. The project aims to provide accessible and up-to-date Steam information to a broad audience.
HN users generally praised the project for its transparency, usefulness, and the public accessibility of the data. Several commenters suggested potential applications for the data, including market analysis, game recommendation systems, and tracking the rise and fall of game popularity. Some offered constructive criticism, suggesting the inclusion of additional data points like regional pricing or historical player counts. One commenter pointed out a minor discrepancy in the reported total number of games. A few users expressed interest in using the data for personal projects. The overall sentiment was positive, with many thanking the creator for sharing their work.
NOAA's publicly available weather data, collected from satellites, radars, weather balloons, and buoys, forms the backbone of nearly all weather forecasts you see. Private companies enhance and tailor this free data for specific audiences, creating the apps and broadcasts we consume. However, the sheer scale and expense of gathering this raw data makes it impossible for private entities to replicate, highlighting the vital role NOAA plays in providing this essential public service. This free and open data policy fosters innovation and competition within the private sector, ultimately benefiting consumers with a wider range of weather information options.
Hacker News users discussed the importance of NOAA's publicly funded weather data and its role in supporting private weather forecasting companies. Several commenters highlighted the inherent difficulty and expense of collecting this data, emphasizing that no private company could realistically replicate NOAA's infrastructure. Some pointed out the irony of private companies profiting from this freely available resource, with suggestions that they should contribute more back to NOAA. Others discussed the limitations of private weather apps and the superior accuracy often found in NOAA's own forecasts. The potential negative impacts of proposed NOAA budget cuts were also raised. A few commenters shared personal anecdotes highlighting the value of NOAA's weather information, particularly for severe weather events.
The blog post explores visualizing the "ISBN space" by treating ISBN-13s as coordinates in 13-dimensional space and projecting them down to 2D using dimensionality reduction techniques like t-SNE and UMAP. The author uses a dataset of over 20 million book records from Open Library, coloring the resulting visualizations by publication year or language. The resulting scatter plots reveal interesting clusters, suggesting that ISBNs, despite being assigned sequentially, exhibit some grouping based on book characteristics. The visualizations also highlight the limitations of these dimensionality reduction methods, as some seemingly close points in the 2D projection are actually quite distant in the original 13-dimensional space.
Commenters on Hacker News largely praised the visualization and the author's approach to exploring the ISBN dataset. Several pointed out interesting patterns revealed by the visualization, such as the clustering of books by language and subject matter. Some discussed the limitations of using ISBNs for this kind of analysis, noting that not all books have ISBNs (especially older ones) and the system itself has undergone changes over time. Others offered suggestions for improvements or further exploration, such as incorporating data about book sales or using different dimensionality reduction techniques. A few commenters shared related projects or resources, including visualizations of other datasets and tools for working with ISBNs. The overall sentiment was one of appreciation for the project and its insightful presentation of complex data.
Archivists are racing against time to preserve valuable government data vanishing from data.gov. A recent study revealed thousands of datasets have disappeared, with many agencies failing to properly maintain or update their entries. Independent archivists are now working to identify and archive these datasets before they're lost forever, utilizing tools like the Wayback Machine and creating independent repositories. This loss of data hinders transparency, research, and public accountability, emphasizing the critical need for better data management practices by government agencies.
HN commenters express concern about the disappearing datasets from data.gov, echoing the article's worries about government transparency and data preservation. Several highlight the importance of this data for research, accountability, and historical record. Some discuss the technical challenges involved in archiving this data, including dealing with varying formats, metadata issues, and the sheer volume of information. Others suggest potential solutions, such as decentralized archiving efforts and stronger legal mandates for data preservation. A few cynical comments point to potential intentional data deletion to obscure unfavorable information, while others lament the lack of consistent funding and resources allocated to these efforts. The recurring theme is the critical need for proactive measures to safeguard valuable public data from being lost.
Transport for London (TfL) issued a trademark complaint, forcing the removal of live London Underground and bus maps hosted on traintimes.org.uk. The site owner, frustrated by TfL's own subpar map offerings, had created these real-time maps as a personal project, intending them for personal use and a small group of friends. While acknowledging TfL's right to protect its trademark, the author expressed disappointment, especially given the lack of comparable functionality in TfL's official maps and their stated intention to avoid competing with the official offerings.
Hacker News users discussed TfL's trademark complaint leading to the takedown of the independent live tube map. Several commenters expressed frustration with TfL's perceived heavy-handedness and lack of an official, equally good alternative. Some suggested the creator could have avoided the takedown by simply rebranding or subtly altering the design. Others debated the merits of trademark law and the fairness of TfL's actions, considering whether the map constituted fair use. A few users questioned the project's long-term viability due to the reliance on scraping potentially unstable data sources. The prevalent sentiment was disappointment at the loss of a useful tool due to what many considered an overzealous application of trademark law.
Summary of Comments ( 12 )
https://news.ycombinator.com/item?id=43589989
HN commenters generally expressed enthusiasm for the OpenVertebrate project, viewing it as a valuable resource for research, education, and art. Some highlighted the potential for 3D printing and its implications for paleontology and museum studies, allowing access to specimens without handling fragile originals. Others discussed the technical aspects, inquiring about file formats and the scanning process. A few expressed concerns about the long-term sustainability of such projects and the need for consistent funding and metadata standards. Several pointed out the utility for comparative anatomy and evolutionary biology studies. Finally, some users shared links to related projects and resources involving 3D scanning of biological specimens.
The Hacker News post titled "OpenVertebrate Presents a Database of 13,000 3D Scans of Specimens" has generated several comments discussing the significance and potential applications of the database.
Several commenters express enthusiasm for the resource. One highlights the potential for 3D printing, envisioning the possibility of printing and assembling a complete skeleton, while acknowledging potential licensing issues. Another user points out the educational value, particularly for those in remote areas or without access to physical specimens. The ability to manipulate and examine the models in 3D is seen as a significant advantage over traditional 2D images.
Some comments focus on the technical aspects. One user questions the accessibility of the data for those with limited internet access, given the large file sizes. Another inquires about the scanning methodology and file formats used. A commenter with experience in the field points out that the quality of 3D scans can vary significantly and suggests that the database would benefit from including metadata about scan quality. This same commenter expresses excitement about the potential to use the database for geometric morphometrics, a powerful technique for analyzing shape variation.
There's a discussion about potential applications beyond education and research. One commenter suggests uses in art and design, while another envisions applications in paleontology and comparative anatomy. The possibility of using the models for virtual and augmented reality experiences is also mentioned.
Finally, a few comments raise important considerations about the ethical implications of digitizing natural history collections, including issues of cultural heritage and repatriation. One commenter raises the point that many of these specimens were likely collected during periods of colonialism and emphasizes the importance of acknowledging the historical context.
Overall, the comments reflect a positive reception to the OpenVertebrate database, with commenters recognizing its potential to revolutionize fields like education, research, and even art and design. However, the discussion also highlights crucial considerations regarding data accessibility, quality, and the ethical implications of digitizing natural history collections.