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Fig. 2 in Description of a new genus and species of Chrysopetalidae (Annelida: Polychaeta) from the NE Atlantic, with some further records of related species
Fig. 2. Maximum likelihood tree of the concatenated data set, including the genes COI, H3, 16S and 18S. Bootstrap support values are shown below the nodes.
Fig. 1 in Description of a new genus and species of Chrysopetalidae (Annelida: Polychaeta) from the NE Atlantic, with some further records of related species
Fig. 1. Map with the locations of the sampling sites. CR = Carlos Ribeiro; HAP = Horseshoe Abyssal Plain; JB = Jezus Baraza; MV = mud volcano.
Fig. 16. Distribution records for Distictus spp. A. D in Revision of Distictus Townes, 1966 (Hymenoptera, Ichneumonidae, Cryptinae), with descriptions of ten new species
Fig. 16. Distribution records for Distictus spp. A. D. mexicanus Kasparyan & Ruíz, 2005. B. D. ateles sp. nov. C. D. paratibialis sp. nov. D. D. tibialis (Brullé, 1846). E. Least common species: D. commatus sp. nov. (star), D. daelus sp. nov. (triangle), D. asterios sp. nov. (circle), D. notabilis sp. nov. (lozenge), D. ardens sp. nov. (square), D. caligaris sp. nov. (thin lozenge) and D. apaensis sp. nov. (pentagon). F. D. terrosus sp. nov.
Dataset including records from the first two generation of selection for feed efficiency in three rabbits lines
<p>This dataset include records from the first two generation of selection of three rabbit lines. The objective was to improve feed efficiency accounting for social interactions within cage. In two lines the feed intake control is done using an electronic feeder, and in the third feed intake is controled at cage level. In the excel book provided, the date from the different lines are recorded in different pages.</p> <p>This dataset has been generated within Feed-a-Gene (H2020) and GENEF (Spanish INIA) projects. It is presented to fullfit the requeriments of Milestone 22 of Feed-a-Gene. This milestone basically aims to show that a selection experiment for feed efficiency on rabbits, accounting for social interactions, can be operationally conducted using an electronic feeder to record individual feed intake of animals raised in groups. This device has also been developed within the frame of these two projects.</p> <p> </p> <p> </p> <p> </p> <p> </p> <p> </p>
BirdVox-scaper-10k: a synthetic dataset for multilabel species classification of flight calls from 10-second audio recordings
<p>BirdVox-scaper-10k: a synthetic dataset for multilabel species classification of flight calls from 10-second audio recordings<br> =============================================================================================<br> Version 1.0, September 2019.</p> <p> </p> <p>Created By<br> -------------</p> <p>Elizabeth Mendoza (1), Vincent Lostanlen (2, 3, 4), Justin Salamon (3, 4), Andrew Farnsworth (2), Steve Kelling (2), and Juan Pablo Bello (3, 4).</p> <p> </p> <p>(1): Forest Hills High School, New York, NY, USA<br> (2): Cornell Lab of Ornithology, Cornell University, Ithaca, NY, USA<br> (3): Center for Urban Science and Progress, New York University, New York, NY, USA<br> (4): Music and Audio Research Lab, New York University, New York, NY, USA</p> <p>https://wp.nyu.edu/birdvox</p> <p> </p> <p>Description<br> --------------</p> <p>The BirdVox-scaper-10k dataset contains 9983 artificial soundscapes. Each soundscape lasts exactly ten seconds and contains one or several avian flight calls from up to 30 different species of New World warblers (Parulidae). Alongside each audio file, we include an annotation file describing the start time and end time of each flight call in the corresponding soundscape, as well as the species of warbler it belongs to.</p> <p>In order to synthesize soundscapes in BirdVox-scaper-10k, we mixed natural sounds from various pre-recorded sources. First, we extracted isolated recordings of flight calls containing little or no background noise from the CLO-43SD dataset [1]. Secondly, we extracted 10-second "empty" acoustic scenes from the BirdVox-DCASE-20k dataset [2]. These acoustic scenes contain various sources of real-world background noise, including biophony (insects) and anthropophony (vehicles), yet are guaranteed to be devoid of any flight calls. Lastly, we "fill" each acoustic scene by mixing it with flight calls sampled at random.</p> <p>Although the BirdVox-scaper-10k does not consist of natural recordings, we have taken several measures to ensure the plausibility of each synthesized soundscape, both from qualitative and quantitative standpoints.<br> <br> The BirdVox-scaper-10k dataset can be used, among other things, for the research, development, and testing of bioacoustic classification models.</p> <p>For details on the hardware of ROBIN recording units, we refer the reader to [2].</p> <p>[1] J. Salamon, J. Bello. Fusing shallow and deep learning for bioacoustic bird species classification. Proc. IEEE ICASSP, 2017.</p> <p>[2] V. Lostanlen, J. Salamon, A. Farnsworth, S. Kelling, and J. Bello. BirdVox-full-night: a dataset and benchmark for avian flight call detection. Proc. IEEE ICASSP, 2018.</p> <p>[3] J. Salamon, J. P. Bello, A. Farnsworth, M. Robbins, S. Keen, H. Klinck, and S. Kelling. Towards the Automatic Classification of Avian Flight Calls for Bioacoustic Monitoring. PLoS One, 2016.</p> <p> </p> <p> </p> <p> </p> <p>@inproceedings{lostanlen2018icassp,<br> title = {BirdVox-full-night: a dataset and benchmark for avian flight call detection},<br> author = {Lostanlen, Vincent and Salamon, Justin and Farnsworth, Andrew and Kelling, Steve and Bello, Juan Pablo},<br> booktitle = {Proc. IEEE ICASSP},<br> year = {2018},<br> published = {IEEE},<br> venue = {Calgary, Canada},<br> month = {April},<br> }</p>
Ambisonic Recordings of Typical Environments (ARTE) Database
<p><strong>Note:</strong> The sound recordings are only to be used for non-commercial personal, educational or research purposes.</p> <p><strong>Overview: </strong>The ARTE database is described in detail in Weisser et al. (2019) and was designed primarily to:</p> <ol> <li>Provide to the research community accessible multichannel recordings of a range of realistic acoustic everyday scenes that can be used in a large variety of auditory perception tests with improved ecological validity and played back in loudspeaker arrays of different geometries as well as on headphones.</li> <li>Enable standardization and replication of auditory perception tests that utilize realistic noisy environments.</li> <li>Complement the multichannel recordings with measured multichannel Room Impulse Responses (RIRs) as well as basic derived acoustic data.</li> </ol> <p>The ARTE database, so far, contains 13 acoustic environments that were recorded with a purpose-built 62-channel microphone array in various locations around Sydney (Australia), and was decoded into the higher-order Ambisonics (HOA) format.</p> <p>For each acoustic environment the following files are provided:</p> <p><strong>HOA environment files:</strong> The recorded environments were decoded into 31mixed-order HOA channels and saved as WAV-files with a sampling frequency of 44.1 kHz and 32 bits per sample. Thereby, channels 1-25 refer to the 3D HOA periphonic (horizontal) components up to the order of M = 4, and channels 26-31 refer to additional sectorial 2D components (i.e., m = n) up to the order of M = 7.</p> <p><strong>HOA RIR files: </strong>In each environment, Room Impulse Responses (RIRs) were measured with a Tannoy V8 dual-concentric loudspeaker at a number of positions relative to the microphone array. Currently, only a single RIR is provided in each environment which was measured with a loudspeaker in front of the microphone array (0 degree azimuth) at a distance of 1.3 m. Similar to the noise files, the RIRs are provided as 31-channel WAV-files with a sampling frequency of 44.1 kHz and 32 bits per sample. In addition to the “standard” RIR, a second version is provided in which the RIR was split into a direct sound (DS) component as well as a reverberation component (REV). The separated version of the RIR can be useful for enhancing the directionality (and frequency response) of the direct sound by decoding it into a single loudspeaker channel (i.e., a loudspeaker at an azimuth angle of 0 degrees) and then adding it back to the reverberant component, which is decoded normally. This process has been shown to be particularly useful when evaluating the benefit provided by directional signal enhancement methods (e.g., beamformers) in hearing aids.</p> <p><strong>Binaural environment files:</strong> The HOA noise files were transformed into binaural headphone signals by simulating their playback via a 41-channel loudspeaker array to the in-ear microphones of a calibrated Bruel & Kjaer Head and Torso Simulator (HATS type 4128C). These binaural signals are provided in two versions: (a) an unprocessed version that needs to be presented via headphones that are equalized using an artificial ear and (b) a version that can be directly played back via any diffuse-field equalized headphones. </p> <p><strong>Binaural RIRs:</strong> The HOA RIRs were transformed into binaural RIRs in the same way as the HOA noise files (see above) and were saved both unequalized and diffuse-field equalized.</p> <p><strong>Basic acoustic measures:</strong> A number of basic acoustic measures are provided by a separate PDF-file for each environment, including: (a) unweighted sound pressure levels (dB SPL), (b) A-weighted sound pressure levels (dBA), (c) reverberation time (RT60), (d) third-octave power spectra in dB SPL, (e) temporal envelopes, (f) amplitude modulation spectra, and (g) directional characteristics in the horizontal plane. The acoustic measures were derived by simulating the playback of the MOA noise files (and RIRs) via a 41-channel loudspeaker array to a calibrated omni-directional 1/4” GRAS microphone (Type 46BL).</p> <p>Apart from the acoustic environment specific files, the ARTE database includes a number of Matlab<sup>TM</sup> functions that help decoding the provided HOA files into a format that can be played back via a given loudspeaker array, and includes a number of examples.</p> <p>Further technical details are described in Weisser, et al. (2019).</p> <p><strong>Supporting material: </strong>The provided Matlab<sup>TM</sup> scripts and examples assume that the downloaded files are organized in a specific directory structure. This structure is generated automatically when downloading (and unzipping) the main zip-file (ARTE database downloas.7z). Note that this zip-file contains all required functions except the MOA and binaural sound files and RIRs. Due to their file size (about 10 GB in total), these sound files should be downloaded, one by one, from the individual links provided below.</p> <p><strong>Some notes on calibration: </strong>All HOA noise files were normalized in the same way such that they correctly maintain their original differences in sound pressure level. Hence, once the sensitivity of the loudspeaker playback system is known, the same playback gain must be applied to all noise files. Even though this playback gain can be derived using any of the provided noise files, the easiest noise file for calibrating the loudspeaker playback system is the provided diffuse noise due to its steady-state behavior. Given that most playback environments contain significant low-frequency background noise, and loudspeakers have different low-frequency roll-offs, the provided A-weighted sound pressure levels should be best used for calibration. Also, it is assumed here that all loudspeakers in the playback array have the same distance to the listener, identical sensitivity, and a flat frequency response. If this is not the case the loudspeakers need to be equalized individually. Also, reverberation of the playback room should be as low as possible.</p> <p><strong>Acknowledgement: </strong>The research related to the ARTE database was financially supported by the Oticon foundation as well as the HEARing CRC, established and supported under the Cooperative Research Centres Program – an initiative of the Australian Government, and the Oticon foundation.</p> <p><strong>References: </strong>Weisser, A., Buchholz, J. M., Oreinos, C., Badajoz-Davila, J., Galloway, J., Beechey, T., Keidser, G. (2019). The Ambisonics Recordings of Typical Environments (ARTE) database. Acta Acustica united with Acustica. (see provided pdf-file)</p>
WWV Centennial Trial Run Recording of WWV 10 MHz from Eastern PA, U.S.A.
<p>Trial run recording on August 1st 2019 in preparation for the Festival of Frequency Measurement, a component of the celebrations of WWV's 100th anniversary.</p> <p> </p> <p>Event: coordinated first attempt</p> <p>UTC Date: 20190801</p> <p>Beacon frequency: 10.000 000</p> <p>Station Name: KA2VLP/KB3UMD</p> <p>Latitude: 40.1875 N</p> <p>Long: 75.4581 W</p> <p>Grid: FN20ge</p> <p>City: Collegeville, PA</p> <p>SF=67, A=8, K=1 at start of measurement</p> <p><br> Difficulties had: Needed to calibrate sound card using fldigi RX ppm. Settled on a value of -20 ppm for minimum drift in Scope display</p> <p><br> Equipment: Kenwood TS-590SG; with SO-3 TXCO installed; 4 hours warm up</p> <p><br> SW: fldigi ver 3.23.21</p> <p><br> In fldigi Freq Analysis mode, cursor was centered around 1004 on the waterfall. Therefore, Freq Error column in data file is relative to 10.000 004 MHz.</p> <p><br> Soapbox: Great time here participating in the experiment and discovering new things together! It was interesting to watch the signal change over the course of the day each time we went downstairs to check on it.</p> <p><br> Released publicly under Creative Commons: yes</p>
WWV Centennial Trial Run Recordings of WWV during August 1st, 2019 UTC
<p>Trial run recording on August 1st 2019 in preparation for the Festival of Frequency Measurement, a component of the celebrations of WWV's 100th anniversary.</p> <p> </p> <p>The Festival of Frequency Measurement is a citizen-science component of WWV's 100th anniversary celebration. This data set was collected on August 1st, 2019 UTC as a trial run for the centennial celebrations.</p>
WWV Centennial Recording of WWV 5 MHz from Western PA, U.S.A.- NA0B
<p>Festival of Frequency Measurement 1 October 2019</p> <p>UTC Date 20191001</p> <p>Beacon Frequency: 5.000.000</p> <p>Station Name: NA0B</p> <p>Latitud: 40.30.950 N</p> <p>Longitud: 79 55.353 W</p> <p>Grid: FN00am</p> <p>City: O'Hara Township, PA</p> <p>SF=69, A=12, K=1 at the end of measurament</p> <p>Equipment: Flexradio FLEX-6000M with GPS module, 24 hours warm up</p> <p>SW: fldigi 4.1.08</p> <p>Released publicly under Creative Commons: YES</p>
VLF phase and amplitude data recorded at Scott Base Antarctica
<p>This dataset contains the phase and amplitude data from VLF radio transmitter NPM (Hawaii, 21.4 kHz, 21.4⁰N, 158.2⁰E) recorded at the field-site for New Zealand's Scott Base, Arrival Heights, in Antarctica (77.8⁰S, 166.8⁰E). The propagation path is ~11 Mm long, oriented nearly north-south, with the mid-point at 28.9⁰S, 164.4⁰W.</p> <p>The data files are formatted as ASCII text files with columns of time (s), amplitude (dB) & phase (degrees) data. The MATLAB script plotUltraMSK.m can be used to plot the data files and an example data plot has been included in the dataset.</p>
Fig. 4. A–D in New species and records of Sericini from the Indian subcontinent (Coleoptera, Scarabaeidae) II
Fig. 4. A–D. Serica (s. str.) eberlei sp. nov., holotype, ♂. E–H. S. (s. str.) tashigaonensis sp. nov., holotype, ♂. A, E. Aedeagus, left side lateral view. C, G. Aedeagus, right side lateral view. B, F. Parameres, dorsal view. D, H. Habitus. Scale bars: 0.5 mm. Habitus not to scale.
Fig. 1. A–D. Maladera murzini Ahrens, 2004 in New species and records of Sericini from the Indian subcontinent (Coleoptera, Scarabaeidae) II
Fig. 1. A–D. Maladera murzini Ahrens, 2004, India: Nagaland, Medziphema. E–H. M. viraktamathi sp. nov., holotype, ♂. A, E. Aedeagus, left side lateral view. C, G. Aedeagus, right side lateral view. B, F. Parameres, dorsal view. D, H. Habitus. Scale bars: 0.5 mm. Habitus not to scale.
Fig. 3. A–D in New species and records of Sericini from the Indian subcontinent (Coleoptera, Scarabaeidae) II
Fig. 3. A–D. Neoserica (s. lat.) reuteri sp. nov., holotype, ♂. E–H. Oxyserica goertzae sp. nov., holotype, ♂. I–M. Selaserica hosanagarana sp. nov., holotype, ♂. A, E, I. Aedeagus, left side lateral view. C, G, L. Aedeagus, right side lateral view. B, F, J–K. Parameres, dorsal view. D, H, M. Habitus. Scale bars: 0.5 mm. Habitus not to scale.
Fig. 2. A–D in New species and records of Sericini from the Indian subcontinent (Coleoptera, Scarabaeidae) II
Fig. 2. A–D. Maladera naveeni sp. nov., holotype, ♂. E–H. Maladera sujitrae sp. nov., holotype, ♂. I–L. Maladera thirthahalliensis sp. nov., holotype, ♂. A, E, I. Aedeagus, left side lateral view. C, G, L. Aedeagus, right side lateral view. B, F, J. Parameres, dorsal view. D, H, L. Habitus. Scale bars: 0.5 mm. Habitus not to scale.
Fig. 5 in Leptoclinides (Ascidiacea, Didemnidae) from Brazil: new records and two new species
Fig. 5. Leptoclinides sp. (DZUP LEP-009). A. Preserved colony on algae. B. Detail of preserved colonies. C. Spicules. D. Thorax. E–F. Abdomen. Scale bars: A = 1 cm; B = 0.5 cm; D–F = 0.1 mm.
Fig. 2. Leptoclinides latus F. Monniot, 1983 in Leptoclinides (Ascidiacea, Didemnidae) from Brazil: new records and two new species
Fig. 2. Leptoclinides latus F. Monniot, 1983 (DZUP LEP-008). A. Colony in situ. B. Surface detail indicating lobed oral siphons and smooth cloacae. C. Spicules. D. Thorax. E. Abdomen. F. Larva. Scale bars: D–F = 0.1 mm.
Fig. 1 in Leptoclinides (Ascidiacea, Didemnidae) from Brazil: new records and two new species
Fig. 1. Leptoclinides coronatus sp. nov., holotype (DZUP LEP-018). A. Colony in situ. B. Detail of the cloaca with lobes. C. Spicules. D. Thorax. E. Abdomen. F–G. Larvae in different stages in the same colony. Scale bars: D–G = 0.1 mm.
Fig. 2 in Three new species and two new records of the genus Cotesia Cameron (Hymenoptera: Braconidae) from Iran
Fig. 2. Cotesia khuzestanensis Zargar & Gupta sp. nov., ICAR-NBAIR/NIM/MICROG/COT/451611. A. Head, frontal view. B. Head, dorsal view. C. Mesosoma, dorsal view. D. Fore wing. E. Metasoma, dorsal view. F. Habitus, lateral view.
Fig. 4 in Three new species and two new records of the genus Cotesia Cameron (Hymenoptera: Braconidae) from Iran
Fig. 4. Cotesia cynthiae (Nixon, 1974). A. Head, frontal view., ICAR-NBAIR/NIM/MICROG/ COT/3416. B. Head, dorsal view. C. Mesosoma, dorsal view. D. Fore wing. E. Metasoma, dorsal view. F. Habitus, lateral view.
Fig. 3 in Three new species and two new records of the genus Cotesia Cameron (Hymenoptera: Braconidae) from Iran
Fig. 3. Cotesia zagrosensis Zargar & Gupta sp. nov., ICAR-NBAIR/NIM/MICROG/COT/6717. A. Head, frontal view. B. Head, dorsal view. C. Mesosoma, dorsal view. D. Fore wing. E. Metasoma, dorsal view. F. Habitus, dorsal view.
ScienceDex guides
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These curated guides explain access requirements, typical timelines, costs, and reuse considerations for widely used research datasets.
Allen Brain Atlas
Allen Brain Atlas is an Allen Institute collection of brain map atlases, datasets, APIs, and analysis tools covering mouse, human, and non-human primate brain resources.
Annotated Behaviour and Observability Dataset (ABODe)
ABODe is a University of Edinburgh DataShare dataset for behavior classification in group-housed mice using home-cage video, identities, bounding boxes, ground-plate positions, and annotator labels.
DANDI Archive for NWB datasets
DANDI is a BRAIN Initiative archive for publishing and sharing neurophysiology data, including electrophysiology, optophysiology, and behavioral data packaged as NWB and related standards.
International Brain Laboratory public data
The International Brain Laboratory public data releases expose standardized mouse decision-making experiments, including Neuropixels recordings, widefield calcium imaging, behavior, and session metadata accessed through the ONE API.
OpenNeuro
OpenNeuro is a free, open platform for sharing neuroimaging datasets, with public search, dataset pages, and download paths for web, S3, DataLad, and the OpenNeuro CLI.