Monday, December 15, 2025

A clerical error caused misidentification of frog specimen that once stood for an entire species




University of Kansas
Misidentified frog 

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On the left, the specimen deposited at the KU Herpetology Collection used to describe the Dendrobates duellmani (holotype).

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Credit: On the right, the frog in life. Credit: A. Maile (left) W. E. Duellman (right).





LAWRENCE — Researchers at the University of Kansas Biodiversity Institute and Natural History Museum recently uncovered a slipup from decades ago: the misidentification of a poison frog specimen from Peru used as a holotype. A holotype is an individual preserved specimen collected in the field and deemed to officially represent an entire species, though today, scientists sometimes use associated data like photos or genetic data as part of the holotype.

Their findings were published in the journal Zootaxa.

“When you describe a species, you assign one specimen that bears the name of that species,” said lead author Ana Motta, collection manager of herpetology at the Biodiversity Institute. “If I find something else later that looks like that species, I need to go to the holotype and compare things to know if that new population belongs to that species or is something else. So, the holotype is the specimen that represents the species.”

In 1999, a researcher saw a published photo of a colorful frog from the Peruvian rainforest, near the Ecuador border. Unable to identify its species, he described the mysterious frog based on that single photo of a specimen previously deposited with KU’s herpetology collection, recording it as specimen KU 221832 and bestowing it with the scientific name Dendrobates duellmani.

“Each specimen gets a catalog number. It’s like a barcode,” Motta said. “All photos, genetic data, calls, whatever we have associated with that specimen are linked to that catalog number. When the researcher saw the photo, instead of asking for the specimen, they asked for just the catalog number, and they were given the wrong catalog number that belonged to another specimen. So, they associated the wrong specimen with the new species description. The true specimen was real. It just had another catalog number.”

When herpetologists recently performing research at the Biodiversity Institute requested to examine the holotype, the error was discovered.

“We had visitors — experts in this frog group — studying many species,” Motta said. “Because the holotype represents the species, they wanted to look at the holotype to understand other populations. When they got the specimen with the described number, they realized: This is not it. The frog is very colorful, and the numbered one was brown.”

Soon, Motta and her colleagues were engaged in a hunt for clues about how the error occurred in the first place.

“We went through field notes and photo records,” Motta said. “We started matching all kinds of data — what photo belonged to what specimen. We found the correct specimen that was pictured in the photo and made the correction based on that.”

In the end, the frog in question has since been reclassified, and it’s no longer deemed to be an independent species. Today, Dendrobates duellmani rather is classified as an example of the Amazon poison frog, Ranitomeya ventrimaculata.

“With more data, we are describing more species — hidden biodiversity that looks alike but is genetically different,” Motta said. “But the opposite happens, too: Things that look different morphologically can be the same species genetically. That’s what happened here. The populations have different colorations but are not reproductively isolated. They share a lot of genetics. They are one species, just with variation. You have extremes, and when you keep collecting, you find a spectrum.”

Motta said the detective work shows the importance of natural history collections and calls for a reexamination of what constitutes a holotype. Because species are going extinct more rapidly than scientists can describe them, she said, there’s pressure to describe species sometimes using less-than-complete information.

“We’re in a new era of collections,” Motta said. “Before, you’d think about a holotype as just the physical object — the animal itself. Now we have the ‘extended specimen.’ All the data and parts associated with that specimen are part of the specimen. The holotype includes the genomic data if that’s available. For example, when you describe frogs, you can use calls. Frogs have species-specific calls. All that belongs to the holotype. It’s part of the holotype.”

However, the KU researcher said basing a holotype on a photo alone isn’t an optimal approach.

“It’s important to actually work with the specimen itself because specimens are the way that you can confirm things. That research can be reproducible,” Motta said. “The problem occurred because the description was based on a photo. That’s not the best practice. There are discussions on that: Should we be able to describe species based on photos? Having the specimen is the only way you can reproduce or verify data. Data must be verifiable and reproducible. A photo is limited.”

Motta said sorting out the frog confusion, which had been carried forward for over two decades as the error had been cited and reproduced in follow-up research, was a fulfilling moment in her career running a natural history collection, especially as the herpetology division she oversees is the world’s fourth-biggest.

“This is what got me interested in being a collections manager,” she said. “It’s very satisfying, a puzzle. Collections are dynamic and full of new discoveries. There is still so much to understand.”
 

FOR PILOTS

Neuroanatomy-informed brain–machine hybrid intelligence for robust acoustic target detection




Beijing Institute of Technology Press Co., Ltd

Illustration of the offline experimental protocol 

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   Illustration of the offline experimental protocol

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Credit: Luzheng Bi, Beijing Institute of Technology, School of Mechanical Engineering.





“Current automated STD methods perform well under controlled conditions but degrade sharply in low SNR or with unseen targets, while standalone BCI systems suffer from high false alarm rates. To overcome these limitations, we proposed a hybrid approach that combines the complementary strengths of neural perception and acoustic feature learning,” explained study author Luzheng Bi, a researcher at the Beijing Institute of Technology. The core innovations include (a) Tri-SDANet, an EEG decoding model incorporating neuroanatomical priors from source analysis, (b) a confidence-driven fusion strategy that adaptively integrates BCI and automatic detection outputs, and (c) a streaming-mode experimental validation simulating real-world scenarios. “This integrated solution achieves robust detection performance with high generalization, offering a practical tool for security protection and environmental reconnaissance.”

The hybrid system leverages multiple technical advancements: 3D printing is not involved here, but the Tri-SDANet model adopts a neuroanatomy-based spatial partitioning strategy, dividing 60-channel EEG signals into temporal, frontal, and parieto-occipital lobes, each processed with dedicated spatiotemporal filters. The automatic detection module integrates state-of-the-art models trained on log-Mel spectrogram features. “The fusion framework invokes BCI only when the automatic detector is uncertain, reducing human workload while maintaining accuracy,” said Jianting Shi, the lead author.

“While the hybrid system shows promising results, it still faces challenges: EEG decoding latency, operator fatigue, and adaptation to more diverse sound targets. Future work will focus on algorithm and hardware optimization to reduce latency, develop user-friendly training protocols, and expand the dataset to cover broader acoustic scenarios,” said Shi. Overall, this brain–machine hybrid intelligence framework provides a generalizable solution for robust STD, bridging the gap between laboratory performance and real-world application demands.

Authors of the paper include Jianting Shi, Jiaqi Wang, Weijie Fei, Aberham Genetu Feleke, and Luzheng Bi.

This work was supported by the National Natural Science Foundation of China under Grant 62573053 and the Beijing Natural Science Foundation of China under Grant IS23064.

The paper, “Neuroanatomy-Informed Brain–Machine Hybrid Intelligence for Robust Acoustic Target Detection” was published in the journal Cyborg and Bionic Systems on Oct. 17, 2025, at DOI: 10.34133/cbsystems.0438.

Eight SwRI hydrogen projects funded by ENERGYWERX

Researchers will evaluate new technology, existing infrastructure for hydrogen-powered future




Southwest Research Institute

Metering Research Facility 

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The ENERGYWERX program has funded eight Southwest Research Institute projects related to hydrogen fuel. Many of the projects will be conducted in SwRI’s Metering Research Facility, a world-class, high-accuracy, high-technology flow measurement facility that simulates actual field conditions.

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Credit: Southwest Research Institute




SAN ANTONIO — December 15, 2025 — Southwest Research Institute (SwRI) has received $1.75 million in funding from the ENERGYWERX program to support a set of hydrogen-related projects. The eight projects focus on testing components for the hydrogen industry to improve energy infrastructure and support the use of this clean-burning fuel.

The ENERGYWERX program strives to increase cooperative research activities between the DOE and nonprofits, private companies, utilities, localities and other organizations by accelerating the development of clean energy technologies and solutions.

Eight SwRI projects have been funded by the program:

  • SwRI will perform pressure cycle testing on a hydrogen check valve to support high-pressure gaseous hydrogen refueling. The testing will be based on guidance from the widely accepted international standard ISO 19880-3. SwRI will commission a new facility to safely test the integrity of the check valve at hydrogen gas pressures of up to 15,000 psi. Jacqueline Manders, P.E., an assistant program manager in SwRI’s Fluids Engineering Department, leads this project.
  • At the same high-pressure hydrogen facility, Manders will also oversee testing valves used for underground hydrogen storage wells. SwRI will evaluate the reliability of the valves under repeated exposure to high-pressure hydrogen gas and extreme temperatures, which can embrittle metals and damage sealing elements, making them prone to leaks.
  • Expanding SwRI’s liquid hydrogen infrastructure is part of a wider effort to establish facilities and methodologies to support comprehensive hydrogen component testing, highlighting safety, reliability, performance, and compliance with global standards. Its focus will be liquid hydrogen pumps, valves, and other cryogenic components, providing significant benefits by testing with liquid hydrogen instead of substitutes like liquid nitrogen. SwRI Senior Research Engineer Brandon Ridens will lead the project, which is designed to gather performance test data of cryo-compressed hydrogen storage systems.
  • SwRI assistant program manager Matthew Godush will lead efforts to test ultrasonic meters adapted to measure the flow of hydrogen-natural gas blends accurately. Because hydrogen has different flow properties than methane, existing meters do not provide accurate readings for natural gas and hydrogen blends. To help utilities safely adapt to hydrogen gas blends without massive infrastructure overhauls, SwRI will test the efficacy of the new meters with existing pipeline transmission technology.
  • SwRI will test a new gas analysis sensor that detects hydrogen and methane content in hydrogen--natural gas blends. The sensor will contain a rapid analysis tool to instantly assess the percentage of hydrogen and methane. This project, also led by Godush, will develop and test the tool’s speed and accuracy in real-world gas conditions with different blend ratios.
  • SwRI will test and validate a hydrogen gas analysis sensor for sensitivity, response time and accuracy. Godush will lead evaluations of the sensor for low-level leak detection, at higher concentrations and under different environmental conditions. When testing is complete, SwRI will provide recommendations to improve detection reliability.
  • Godush will also lead an effort to detect hydrogen leaks under operational conditions. Leaks are difficult to detect in high-pressure hydrogen systems, because hydrogen is colorless and odorless, spreads quickly, and has a wide flammability range. SwRI will calibrate detection methods against known hydrogen leak scenarios to reinforce safety protocols with real-time detection.
  • SwRI’s Fassett Hickey leads a project that tests the compatibility of O-ring materials with hydrogen gas environments. O-rings are vital to safely operate hydrogen equipment in aerospace, energy, and industrial applications. Because hydrogen molecules are so small, they penetrate polymeric materials used for O-rings and the entrained gas can cause blistering or rupture during rapid decompression events. SwRI is testing the reliability and safety of the O-rings in hydrogen environments.

Many of the projects will be conducted in SwRI’s Metering Research Facility, a world-class, high-accuracy, high-technology flow measurement facility that simulates actual field conditions. SwRI scientists and engineers across multiple disciplines are working together to prepare for a future hydrogen economy. The ENERGYWERX projects are underway and are expected to be completed by the end of 2026.

For more information, visit https://www.swri.org/markets/energy-environment/power-generation-utilities/advanced-power-systems/hydrogen-energy-research.

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About SwRI:
SwRI is an independent, nonprofit, applied research and development organization based in San Antonio, Texas, with more than 3,200 employees and an annual research volume of $915 million. Southwest Research Institute and SwRI are registered marks in the U.S. Patent and Trademark Office. For more information, please visit www.swri.org.