cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.58160/sy80ga85zha2dyyf
title: A functional clock in only two dorsal clock neurons is sufficient to restore the basal circadian activity pattern of Drosophila melanogaster

description: Circadian clocks form complex networks to orchestrate the behavior and physiology of animals. Elucidating the organization of these clock networks is critical to understanding how circadian clocks achieve robust timing. Clock neurons have been best characterized in the model organism Drosophila melanogaster. At the early stages of development, Drosophila has a clock network consisting of only nine neurons per hemisphere. This set of clock neurons consists of lateral and dorsal neurons and persists in the adult fly, in which the clock network is greatly expanded to a total of ~240 neurons. The function of the early-born lateral clock neurons is well established in the adult fly. They control morning and evening activity and are responsible for circadian rhythmicity under constant conditions. Only recent studies have begun to dissect the function of the dorsal clock neurons. Using clock rescue experiments, we show here that a functional clock in only four of them, the DN1a, is sufficient to restore a bimodal locomotor activity pattern and rhythmic activity under constant conditions in the adult fly. This is achieved by CCHa1 signaling most likely to the lateral morning neurons, which are considered the main pacemakers of the clock, and by glutamate signaling to the lateral evening neurons. Interestingly, all the neurons involved are part of the early-born clock network, strongly suggesting that a core clock is already formed during early development. This set of clock neurons appears sufficient in the adult fly to drive the basal circadian activity pattern.
DOI: 10.17026/ss/0qoci0
title: Self-expression and Emotion-Regulation in Arts and Psychomotor Therapies Scale (SERAPTS)

description: The present study is an extension of previous research, which resulted in the development of a valid, reliable and user-friendly tool for monitoring art therapy. The purpose of this study was to examine the extended reliability and sensitivity to change of the adapted version of the above scale, now called the Self-expression and Emotion Regulation in Arts and Psychomotor Therapies Scale (SERAPTS) for art, dance, drama, music and psychomotor therapy.
DOI: 10.15468/dl.qud2vw
title: Occurrence Download

description: A dataset containing 2755 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((0.31824 44.32611,0.31147 44.32996,0.29098 44.33157,0.26447 44.32896,0.23895 44.3151,0.23273 44.29541,0.23815 44.27934,0.25482 44.26789,0.26487 44.25242,0.26708 44.24258,0.26085 44.23474,0.26306 44.22811,0.30404 44.20863,0.31871 44.20742,0.32594 44.21747,0.32574 44.2251,0.32704 44.23448,0.32584 44.24189,0.32604 44.24989,0.32144 44.25329,0.31504 44.25589,0.31684 44.26209,0.32864 44.27109,0.33164 44.27509,0.32364 44.2831,0.31924 44.2895,0.31924 44.2951,0.32284 44.3041,0.32524 44.3101,0.32564 44.31511,0.32204 44.32031,0.31824 44.32611))",
 "TaxonKey is Plantae"
 ]
}

 The dataset includes 2755 records from 31 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0008326-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25582/data.2024-01.3013114/2551181
title: Data for EMSL Project 60580 from January 2024
DOI: 10.25582/data.2024-01.3013129/2551182
title: Data for EMSL Project 60580 from January 2024
DOI: 10.25582/data.2024-01.3013139/2551183
title: Data for EMSL Project 60580 from January 2024
DOI: 10.25582/data.2024-01.3013140/2551184
title: Data for EMSL Project 60580 from January 2024
DOI: 10.15468/7x3wsj
title: Yangtze finless porpoise in Yangtze River, China 2006

description: Original provider:
Zhao Xiujiang, Institute of Hydrobiology, Chinese Academy of Sciences

Dataset credits:
Zhao Xiujiang, Institute of Hydrobiology, Chinese Academy of Sciences
Wang Ding, Institute of Hydrobiology, Chinese Academy of Sciences

Abstract:
The Yangtze finless porpoise (&lt;i&gt;Neophocaena phocaenoides asiaeorientalis&lt;/i&gt;) is endemic to the middle and lower reaches of the Yangtze River, China. It is the only freshwater population of porpoises in the world and is currently listed as Endangered by IUCN. In November and December 2006, we used two boats and line transect methods to survey the entire current range of the population, except for two lakes (Poyang and Dongting). When on-effort, one boat surveyed 3,100 km with 240 sightings and a mean group size of 1.87 resulting in 0.077 sightings/km, while the other boat surveyed 3,065 km with 198 sightings and a mean group size of 2.05 resulting in 0.065 sightings/km.
DOI: 10.15468/r376xt
title: Derawan Green Turtles Tracking (aggregated per 1-degree cell)

description: Original provider:
WWF Indonesia

Dataset credits:
Data provider
Udayana University - WWF Joint Program
Originating data center
&lt;a href='http://www.seaturtle.org/tracking/' target='_blank'&gt;Satellite Tracking and Analysis Tool (STAT)&lt;/a&gt;
 This dataset is a summarized representation of the telemetry locations aggregated per species per 1-degree cell.
DOI: 10.15468/9uguky
title: Sarasota Dolphin Research Program Bottlenose Sightings 1971-2009

description: Original provider:
Randall Wells, Sarasota Dolphin Research Program

Dataset credits:
Sarasota Dolphin Research Program

Abstract:
The Sarasota Dolphin Research Program has been conducting research on bottlenose dolphins along the west coast of Florida since 1970. During the 1970s, sighting data came primarily from surveys searching for tagged dolphins, from radio-tracking, and from a few photographic identification efforts (Irvine et al. 1981; Wells et al. 1980). From 1980-1992, data came primarily from seasonal, systematic photographic identification surveys (Wells et al. 1987, Wells and Scott 1990, Scott et al. 1990, Wells 1991). Focused photographic identification surveys of the Gulf of Mexico waters offshore of Sarasota Bay, Florida, occurred during July 1997 through August 1998 (Fazioli et al. 2006). Building on these, biopsy darting and photo-ID occurred in the same waters during 1999-2000 (Sellas et al. 2000). Photographic identification surveys were conducted in and immediately offshore of Tampa Bay during 1988-1993 (Wells et al. 1996a). Photographic identification surveys were conducted in and immediately offshore of Lemon Bay and Charlotte Harbor during 1990-1994 (Wells et al. 1996b) and during 2000-2004 and 2006 (unpubl.). Photographic identification surveys were conducted in and immediately offshore of Pine Island Sound during 1996 (Wells et al. 1997) and during 2000-2004 and 2006 (unpubl.). Monthly photographic identification surveys have continued from 1993 to the present for Sarasota Bay and Gulf waters immediately offshore from Passage Key Inlet to Venice Inlet (Wells 2003); these have been supplemented through focal animal behavioral follows, some radio-tracking, and additional biopsy darting efforts (Owen et al. 2002). Data provided include sighting date, location code, latitude and longitude of first observation, and best estimate of number of dolphins present (following photo-analysis) for SDRP sightings in the Gulf of Mexico. More details on data collection and processing techniques are available in the SDRP manual available as a download from: www.sarasotadolphin.org. For more information on datasets, contact Randall Wells (rwells@mote.org).
DOI: 10.15468/y79rdp
title: Community structure and abundance of bottlenose dolphins Tursiops truncatus in coastal waters of the northeast Gulf of Mexico

description: Original provider:
Reny Tyson, Duke University, and Brian Balmer, Chicago Zoological Society, c/o Mote Marine Laboratory

Dataset credits:
Reny Tyson, Duke University
Brian Balmer, Chicago Zoological Society, c/o Mote Marine Laboratory

Abstract:
We examined bottlenose dolphin &lt;i&gt;Tursiops truncatus&lt;/i&gt; community structure and abundance in the northeast Gulf of Mexico coastal waters stretching from St. Vincent Sound to Alligator Harbor, Florida, USA. Photographic-identification surveys were conducted between May 2004 and October 2006 to gain an understanding of dolphin distribution in this region. Dolphins were distributed year-round throughout the region; however, individual sighting records indicate that 2 parapatric dolphin communities exist. We conducted mark-recapture surveys using photographic-identification techniques to estimate the abundance of dolphins inhabiting the 2 areas these communities reside in: St. Vincent Sound/Apalachicola Bay, western; and St. George Sound/Alligator Harbor, eastern. Sighting records of individual dolphins from 2004 to 2008 support the existence of 2 communities in these areas; only 3.5% of distinctive dolphins photographed were seen in both western and eastern areas. The 2 communities differ in their structure: the eastern area supports a more transient population with 45.7% of distinctive dolphins photo graphed only once compared with 28.3% in the west. Independent estimates of abundance (N, 95% CI = [low, high]) were calculated using the Chapman modification of the Lincoln-Petersen method for June 2007 and for January and February 2008 for the eastern area (242 [141−343], 395 [273−516]) and for the western survey area (197 [130−264], 111 [71−150]), respectively. Our results serve as a baseline that can be used by the US National Marine Fisheries Service to manage bottlenose dolphins in this region.
DOI: 10.15468/c4uk4e
title: Xstrata, GHD and DERM central Queensland flatback turtle monitoring (aggregated per 1-degree cell)

description: Original provider:
Xstrata Coal

Dataset credits:
Data provider
GHD, Xstrata and DERM nesting flatback monitoring
Originating data center
&lt;a href='http://www.seaturtle.org/tracking/' target='_blank'&gt;Satellite Tracking and Analysis Tool (STAT)&lt;/a&gt;

Abstract:
This program represents the collaboration between GHD, Xstrata and the Department of the Environment and Resource Management. Four tags were released in late December on Peak and Curtis Island, Central Queensland to observe internesting and post nesting migration and habitat use by flatback turtles.
 This dataset is a summarized representation of the telemetry locations aggregated per species per 1-degree cell.
DOI: 10.13140/rg.2.1.3186.0883
title: Таксономическое положение Nicrophorus germanicus morio (Silphidae)
DOI: 10.15468/shnjn4
title: Gabon 2010-11: Corisco Bay, Green Turtles (aggregated per 1-degree cell)

description: Original provider:
Marine Turtle Research Group

Dataset credits:
Data provider
Marine Turtle Research Group
Originating data center
&lt;a href='http://www.seaturtle.org/tracking/' target='_blank'&gt;Satellite Tracking and Analysis Tool (STAT)&lt;/a&gt;
Project partner
The partnerships' work in Gabon, which includes satellite telemetry of marine turtles (leatherback, green, and olive ridley turtles), training and capacity building in the use of fisheries vessel monitoring systems and assessing the distribution and abundance of dolphins and whales is funded by the Darwin Initiative, which is financed by the Department for Environment, Food and Rural Affairs of the UK Government under the project Darwin Marine Biodiversity Action Plan for Gabon, the Wallace Research Foundation, and, the Marine Turtle Conservation Fund (US Fish and Wildlife Service, US Department of the Interior).

Abstract:
As part of a larger marine biodiversity project in Gabon, this year we are adding satellite tracking of green turtles from their foraging grounds in Corisco Bay. The project aims to examine size-based foraging patterns of turtles. These movement data will be integrated with a charaterization of the local habitat and an assessment of anthropogenic threats.
 This dataset is a summarized representation of the telemetry locations aggregated per species per 1-degree cell.
DOI: 10.15468/q8navz
title: USWTR Onslow Bay Aerial Survey -Left side- 2008-2010

description: Original provider:
University of North Carolina, Wilmington

Dataset credits:
William A. McLellan, University of North Carolina Wilmington

Abstract:
The protected species monitoring program, initiated in response to Onslow Bay, North Carolina, United States being identified as a potential site for the United States Navy’s Undersea Warfare Training Range (USWTR), is now into its third year. To estimate marine mammal density, distribution, and seasonality, a multi-platform approach was implemented using traditional visual line transect survey methods from aerial and vessel platforms along with passive acoustic monitoring from vessels and moored instruments. This project represents a long term data set used to assess residency and abundance patterns of this offshore area in the waters off North Carolina.
DOI: 10.15468/9yqr9f
title: DUML vessel-based surveys for proposed JAX USWTR site 2009-2011

description: Original provider:
Duke University Marine Laboratory

Dataset credits:
Duke University Marine Laboratory

Abstract:
A multi-institutional, marine protected species monitoring program, involving aerial, vessel and acoustic surveillance techniques, has been implemented at the proposed Under Sea Warfare Training Range (USWTR) offshore of Jacksonville, Florida, United States to investigate cetacean and sea turtle species occurrence, distribution. Ten 87 km track-lines spaced 6.5 km apart transect the 1,295 km2 USWTR box, which is located between 60 and 150 km offshore.
DOI: 10.15468/tgumkc
title: Bangladesh Sea Turtle Satellite Tracking Project-Marinelife Alliance (aggregated per 1-degree cell)

description: Original provider:
Sea Turtle Project-Bangladesh/Marinelife Alliance

Dataset credits:
Data provider
Satellite Tracking Project-Marinelife Alliance
Originating data center
&lt;a href='http://www.seaturtle.org/tracking/' target='_blank'&gt;Satellite Tracking and Analysis Tool (STAT)&lt;/a&gt;

Abstract:
Marinelife Alliance, conservation and research organization working for marine life particularly on sea turtle, cetacean, coral reefs and water birds along the coast and marine waters of Bangladesh. As part of sea turtle research we started satellite tracking on sea turtle to explore their critical offshore biological information needed to apply the conservation measures to save them. All sea turtle are endangered throughout the world including Bangladesh. Most of the offshore scientific information is unknown to us about this rare animal and each year thousands of sea turtles die due to bycatch in Bangladesh marine waters. Sea turtles are highly migratory and share international waters including many countries maritime territory that increases their chance of being caught by various type of fishing nets spread over the vast marine waters. Bangladesh is signatory of the regional and international conventions and treaties to save the endangered sea turtle. To save these global flagship species we need to uncover their migratory routes through which they come to breed and lay eggs in our long sandy beaches each winter, the coastal habitat they use during nesting season and pathways to long distance migrations at post nesting period. To understand this critical information we are going to set Satellite transmitters on olive ridley and green turtle following recognized scientific methods and protocols developed by pioneering sea turtle scientists throughout the world. This satellite tracking on sea turtle is first time in Bangladesh. This will reveal migratory routes of our sea turtle, depth they dive with temperature, nesting intervals and foraging habitat they use. This uncover will tremendously help in national sea turtle conservation efforts. The results will be used by large number of academics and students in the country and Government Department like Department of Forest, Department of Environment, Department of Fisheries, Bangladesh Coast Guard and Navy. We specially encourage your participation and cooperation to accomplish our efforts and fulfill the goal to save sea turtle in our marine waters.
 This dataset is a summarized representation of the telemetry locations aggregated per species per 1-degree cell.
DOI: 10.15468/ucfenu
title: USWTR Onslow Bay Aerial Survey -Right side- 2008-2010

description: Original provider:
University of North Carolina, Wilmington

Dataset credits:
William A. McLellan, University of North Carolina Wilmington

Abstract:
The protected species monitoring program, initiated in response to Onslow Bay, North Carolina, United States being identified as a potential site for the United States Navy’s Undersea Warfare Training Range (USWTR), is now into its third year. To estimate marine mammal density, distribution, and seasonality, a multi-platform approach was implemented using traditional visual line transect survey methods from aerial and vessel platforms along with passive acoustic monitoring from vessels and moored instruments. This project represents a long term data set used to assess residency and abundance patterns of this offshore area in the waters off North Carolina.
DOI: 10.15468/h9be95
title: USWTR JAX Aerial Survey -Left side- 2009-2010

description: Original provider:
University of North Carolina, Wilmington

Dataset credits:
William A. McLellan, University of North Carolina Wilmington

Abstract:
A multi-institutional, marine protected species monitoring program, involving aerial, vessel and acoustic surveillance techniques, has been implemented at the proposed Under Sea Warfare Training Range (USWTR) offshore of Jacksonville, Florida. Ten 87 km track-lines spaced 6.5 km apart transect the 1295 km2 USWTR box, which is located between 60 and 150 km offshore. Aerial surveys were flown in a Cessna Skymaster at 300 m altitude and 185 km/h. A total of 155 track-lines (13,485 km) were surveyed, the majority flown in low Beaufort sea state (BSS) conditions (92% in BSS 3 or lower) to maximize sighting conditions.
DOI: 10.15468/wef623
title: Land-based observations of cetaceans in the waters of Beringa Island in 2007-2009

description: Original provider:
Russian Cetacean Habitat Project

Dataset credits:
Russian Cetacean Habitat Project

Far East Russia Orca Project

Whale and Dolphin Conservation Society

Abstract:
These data were collected via land-based observations from Poludennaya Bay, Beringa Island (Commander Islands) in May-June 2007, May-July 2008 and August-September 2009. The observation point was located on a 40 m cliff. Bearing and distance to the observed whales were defined by binoculars with a compass and range-finding reticle. Observations were conducted during all daylight hours, if visibility was more than 5 km. We made one 15 minute scan every half hour and noted all cetaceans observed during the scan. Consequently, in many cases we could note the same animal several times in different scans. Observed species include killer whale, minke whale, humpback whale, fin whale, sei whale, sperm whale, Baird’s beaked whale, harbor porpoise and Dall’s porpoise.
DOI: 10.5281/zenodo.17304191
title: Knowledge Distillation Experiments: Comparative Analysis of Teacher–Student Architectures

description: This repository contains a series of reproducible Jupyter notebooks demonstrating and comparing different knowledge distillation strategies across multiple neural network architectures.The experiments explore how student networks can effectively learn compact representations from high-capacity teacher models, focusing on trade-offs in accuracy, compression ratio, and inference speed.

Contents





experiment-1.ipynb: Baseline training of teacher and student models on benchmark dataset.




experiment-2.ipynb: Soft-target distillation with temperature scaling and loss weighting.




experiment-3.ipynb: Layer-wise feature distillation and intermediate supervision.




experiment-3a.ipynb: Cross-architecture distillation using lightweight convolutional students.



Each notebook includes preprocessing steps, training configurations, hyperparameter tuning, and performance evaluation metrics.The experiments can be extended or adapted for transfer learning, model compression, or deployment optimization studies.

Highlights





Implements classical and modern KD methods (e.g., Hinton et al. 2015; feature-based KD).




Provides consistent experimental environment in Jupyter notebooks.




Enables reproducibility and further fine-tuning for lightweight deployment.
DOI: 10.5281/zenodo.17304192
title: Knowledge Distillation Experiments: Comparative Analysis of Teacher–Student Architectures

description: This repository contains a series of reproducible Jupyter notebooks demonstrating and comparing different knowledge distillation strategies across multiple neural network architectures.The experiments explore how student networks can effectively learn compact representations from high-capacity teacher models, focusing on trade-offs in accuracy, compression ratio, and inference speed.

Contents





experiment-1.ipynb: Baseline training of teacher and student models on benchmark dataset.




experiment-2.ipynb: Soft-target distillation with temperature scaling and loss weighting.




experiment-3.ipynb: Layer-wise feature distillation and intermediate supervision.




experiment-3a.ipynb: Cross-architecture distillation using lightweight convolutional students.



Each notebook includes preprocessing steps, training configurations, hyperparameter tuning, and performance evaluation metrics.The experiments can be extended or adapted for transfer learning, model compression, or deployment optimization studies.

Highlights





Implements classical and modern KD methods (e.g., Hinton et al. 2015; feature-based KD).




Provides consistent experimental environment in Jupyter notebooks.




Enables reproducibility and further fine-tuning for lightweight deployment.
DOI: 10.15468/mm3ed5
title: Cetacean observations in Avacha Gulf 2005-2009

description: Original provider:
Far East Russia Orca Project

Dataset credits:
Far East Russia Orca Project

Russian Cetacean Habitat Project

Whale and Dolphin Conservation Society

Abstract:
This dataset includes opportunistic observations of cetaceans conducted during our work with killer whales. Observations were made visually from the 4 m long inflatable boat. Observed species include minke whale, fin whale, Baird’s beaked whale, gray whale, humpback whale and Dall’s porpoise.
DOI: 10.15468/yerye5
title: Cetacean observations in the waters of Karaginsky Island and Beringa Island in 2009

description: Original provider:
Russian Cetacean Habitat Project

Dataset credits:
Russian Cetacean Habitat Project

Far East Russia Orca Project

Whale and Dolphin Conservation Society

Abstract:
This dataset includes observations of cetaceans in the waters of Karaginsky Island and Beringa Island in 2009 in frames of the Russian Cetacean Habitat Project. Observations were made visually from the 5 m long inflatable boat or from 30 m cargo ship (in Litke Strait). Observed species include killer whale, minke whale, humpback whale, harbor porpoise and Dall’s porpoise.
DOI: 10.15468/4uge48
title: USWTR JAX Aerial Survey -Right side- 2009-2010

description: Original provider:
University of North Carolina, Wilmington

Dataset credits:
William A. McLellan, University of North Carolina Wilmington

Abstract:
A multi-institutional, marine protected species monitoring program, involving aerial, vessel and acoustic surveillance techniques, has been implemented at the proposed Under Sea Warfare Training Range (USWTR) offshore of Jacksonville, Florida. Ten 87 km track-lines spaced 6.5 km apart transect the 1295 km2 USWTR box, which is located between 60 and 150 km offshore. Aerial surveys were flown in a Cessna Skymaster at 300 m altitude and 185 km/h. A total of 155 track-lines (13485 km) were surveyed, the majority flown in low Beaufort Sea State (BSS) conditions (92 % in BSS 3 or lower) to maximize sighting conditions.