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690 results for “antennae”

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edi52/100

Fish tag data remotely detected using whole stream antennas or hand held tag readers in the Kuparuk, Itkilik, and Sagavanirktok drainages near Toolik Field Station, Alaska, from 2010 to 2017

From 2009 to 2017, the FISHSCAPE Project (grant numbers 1719267, 1417754, and 0902153), based at Toolik Field Station, has monitored physical, chemical, and biological parameters within three watersheds: The Kuparuk (including Toolik Lake and Toolik outlet stream); The Sagavanirktok (primarily Oksrukuyik Creek, but also including sections of the Ailish and Atigun Rivers and the Galbraith Lakes); and The Itkillik (primarily the I-Minus outlet stream, a tributary that that feeds into the Itkilik River). Target species were primarily Arctic grayling and Lake trout, although Arctic char, Burbot, Dolly varden, round whitefish, and slimey sculpin were also captured. This file contains the detectioned fish tags using whole stream or hand-held antennas in the three watersheds. We had no field season in 2014 and thus did not deploy antennaes. Fish were tagged with Passive Integrated Transponder (PIT) tags which can be read with a whole stream antenna to track the migration of the fish, predominately Arctic grayling, throughout the systems. Fish tags detected with a handheld readers are designated in Site ID as "XXX_capture". For "capture" fish time is arbitraily set at '7:00:00'' of the day of capture and tagging because actual time was not recorded. The individual fish data (date, tag number, length, weight, species) associated with the tag can be found in the 2009-2017_FISHSCAPE_fish_tagging file.

openCC (other)Jan 2020View details →

zenodo48/100

Radarcape ADS-B messages captured by antenna installed at the roof of the EETAC during Nov'2023

Messages collected from the ADS-B antenna at the roof of the EETAC-UPC school at Castelldefels, Barcelona, from 15th of Sep 2023 to 31st of Oct 2023

opencc-by-4.0Oct 2023View details →

zenodo48/100

Data for "a cavity-based optical antenna for color centers in diamond"

An efficient atom-photon-interface is a key requirement for the integration of solid-state emitters such as color centers in diamond into quantum technology applications. Just like other solid state emitters, however, their emission into free space is severely limited due to the high refractive index of the bulk host crystal. In this work, we present a planar optical antenna based on two silver mirrors coated on a thin single crystal diamond membrane, forming a planar Fabry-Pérot cavity that improves the photon extraction from single tin vacancy (SnV) centers as well as their coupling to an excitation laser. Upon numerical optimization of the structure, we find theoretical enhancements in the collectible photon rate by a factor of 60 as compared to the bulk case. As a proof-of-principle demonstration, we fabricate single crystal diamond membranes with sub-µm thickness and create SnV centers by ion implantation. Employing off-resonant excitation, we show a 6-fold enhancement of the collectible photon rate, yielding up to half a million photons per second from a single SnV center. At the same time, we observe a significant reduction of the required excitation power in accordance with theory, demonstrating the functionality of the cavity as an optical antenna. Due to its planar design, the antenna simultaneously provides similar enhancements for a large number of emitters inside the membrane. Furthermore, the monolithic structure provides high mechanical stability and straightforwardly enables operation under cryogenic conditions as required in most spin-photon interface implementations.

opencc-by-4.0Jul 2021View details →

zenodo48/100

3D model of antenna system embedded into building envelope for improved cellular signal transmission through load-bearing walls

The purpose of this dataset is to supplement the data presented in our journal publication "Electromagnetic–Thermal Analyses of Distributed Antennas Embedded Into a Load-Bearing Wall" (see <a href="https://ieeexplore.ieee.org/document/10151683">https://ieeexplore.ieee.org/document/10151683</a>). This dataset contains the 3-D discretized model, without the internal numerical mesh, of the unit cell of the spiral antenna system embedded in a load bearing wall. The 3D model is in .STP format (see ISO 10303-21:2016), which can be imported into most commercial computer-aided design (CAD) software. The wall's dielectric properties are calculated using the model described in ITU-R P.2040-2 (<a href="https://www.itu.int/rec/R-REC-P.2040/en">https://www.itu.int/rec/R-REC-P.2040/en</a>, material parameter and calculation model are on pages 22-23). Materials used in the antenna system and their electrical and thermal parameters are given in the file materials.txt

opencc-by-4.0Feb 2023View details →

zenodo44/100

Raw SNR data for Manuscript "GPS Interferometric Reflectometry : Using a Low Cost Antenna to Measure Water Levels"

Raw GPS L1 SNR (and ancillary) data for an experiment to use a low-cost GPS antenna/receiver to measure water levels using the GNSS - Interferometric Reflectometry technique. The data were recorded at the RNLI lifeboat station in Sligo, Ireland (N 54o 18' 17.8'', W 8o 34' 5.4'' ) using a Globalsat BU353S4 USB puck that uses a SirfStar IV receiver with patch antenna (2018 data) and a Maestro A2200A SirfStar IV module (2019 data). Both systems were mounted to a radio mast at around 16m above sea level. The data are stored in daily files with the naming convention sligDDD0.YY.TNR.gz  where DDD is the Day of Year and YY is the year in short format (18,19). Each file is gzipped.  The files are flat text files with fixed width columns in the following order 1) PRN GPS satellite code 2)  Elevation  (degrees) 3) Azimuth (degrees) 4) Seconds of Day 5) change in elevation angle with time (degrees/second) : needed for reflector height change corrections 6) Blank 7) S1 SNR signal (dB-Hz) 8) Blank reserved for S2 SNR signal 9) Blank reserved for S5 SNR signal

opencc-by-4.0Mar 2020View details →

zenodo44/100

3D Printed Antennas for mm-Wave Sensing Applicatins: Dataset

This is the dataset related to the paper "3D Printed Antenass for mm-Wave Sensing Applications": This paper presents three low cost 3D printed antenna concepts for integration with a miniature mm-wave platform. The proposed solutions are optimized to operate in mm-wave ISM band (122GHz-123GHz). Different, inexpensive, detachable antennas can be used with the same platform for various RF sensing applications such as food safety, health and industrial.

opencc-by-4.0Apr 2017View details →

zenodo44/100

HALOC Dataset | WiFi CSI-based Long-Range Person Localization Using Directional Antennas

WiFi CSI-based Long-Range Person Localization Using Directional Antennas This repository contains the HAllway LOCalization (HALOC) dataset and WiFi system CAD files as proposed in <a href="https://openreview.net/forum?id=AOJFcEh5Eb" target="_blank" rel="noopener">[1]</a>. PyTroch Dataloader A minimal PyTorch dataloader for the HALOC dataset is provided at: <a href="https://github.com/StrohmayerJ/HALOC" target="_blank" rel="noopener">https://github.com/StrohmayerJ/HALOC</a> Dataset Description The HALOC dataset comprises six sequences (in .csv format) of synchronized WiFi Channel State Information (CSI) and 3D position labels. Each row in a given .csv file represents a single WiFi packet captured via ESP-IDF, with CSI and 3D coordinates stored in the "data" and ("x", "y", "z") fields, respectively. The sequences are divided into training, validation, and test subsets as follows: <table> <tbody> <tr> <td>Subset</td> <td>Sequences</td> </tr> <tr> <td>Training</td> <td>0.csv, 1.csv, 2.csv and 3.csv</td> </tr> <tr> <td>Validation</td> <td>4.csv</td> </tr> <tr> <td>Test</td> <td>5.csv</td> </tr> </tbody> </table>   WiFi System CAD files We provide CAD files for the 3D printable parts of the proposed WiFi system consisting of the main housing (housing.stl), the lid (lid.stl), and the carrier board (carrier.stl) featuring mounting points for the Nvidia Jetson Orin Nano and the ESP32-S3-DevKitC-1 module.  Download and Use This data may be used for non-commercial research purposes only. If you publish material based on this data, we request that you include a reference to our paper [1]. [1] Strohmayer, J., and Kampel, M. (2024). “WiFi CSI-based Long-Range Person Localization Using Directional Antennas”, The Second Tiny Papers Track at ICLR 2024, May 2024, Vienna, Austria. <a href="https://openreview.net/forum?id=AOJFcEh5Eb" target="_blank" rel="noopener">https://openreview.net/forum?id=AOJFcEh5Eb</a> BibTeX citation: <pre>@inproceedings{ strohmayer2024wifi, title={WiFi {CSI}-based Long-Range Person Localization Using Directional Antennas}, author={Julian Strohmayer and Martin Kampel}, booktitle={The Second Tiny Papers Track at ICLR 2024}, year={2024}, url={https://openreview.net/forum?id=AOJFcEh5Eb} }</pre>

opencc-by-4.0Apr 2024View details →

zenodo44/100

Wind tunnel test data for the evaluation of the aerodynamic coefficients of an antenna mast with ancillaries.

This dataset comprises measured data and results from static wind tunnel tests conducted in April 2024 at the Giovanni Solari Wind Tunnel Facility (GS-WinDyn). The tests aim to assess the drag, lift, and moment coefficients of an antenna mast designed as a triangular lattice tower, equipped with both linear and discrete ancillary components. The wind tunnel experiments are carried out under both smooth and turbulent flow conditions using a scaled 3D model of the antenna mast. Five ancillary configurations, based on predominant patterns observed, are tested. Drag forces, lift forces and moments are measured using two six-component force balances attached to the ends of the model, while downstream three-component velocity data is captured by a Cobra probe. For each configuration, aerodynamic coefficients are determined for angles of attack ranging from 0° to 360°, with increments of up to 10°. The dataset provides the measured data and the obtained aerodynamic coefficients and it has significant reuse potential in several applications: comparison with experimental wind tunnel data, validation of analytical and numerical CFD models with similar configurations, estimation of wind loads due to ancillary structures, and characterization of wake effects.

opencc-by-4.0Dec 2024View details →

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Dataset for publication: "Photosystem II supercomplexes lacking light-harvesting antenna protein LHCB5 and their organization in the thylakoid membrane"

Data repository for "Photosystem II supercomplexes lacking light-harvesting antenna protein LHCB5 and their organization in the thylakoid membrane". FIGURE 1 Phenotype and photosynthetic characteristics of the lhcb5 mutant. (A) Phenotype of Arabidopsis thaliana wild type (WT) and lhcb5 mutant plants grown at controlled conditions for 6 weeks (8 h light/16 h dark cycle; 22/20°C; 110 µmol photons m-2 s-1; 60% humidity). (B) Immunoblot analysis of thylakoid membranes of WT and lhcb5 mutant plants with antibody directed against LHCB5. (C) Content of light-harvesting proteins LHCB1-6 evaluated relatively to the content of CP43 protein in the WT and the lhcb5 mutant. The protein content was determined in isolated thylakoid membranes by liquid chromatography-tandem mass spectrometry (LC-MS/MS). The columns represent means ± SD, individual points show technical replicates. All data passed the normality and equal variance tests and according to Student t-test the datasets of WT and lhcb5 were not significantly different (α ≤ 0,05), except for the relative content of LHCB5/CP43. (D) Protein ratios of photosynthesis-related thylakoid membrane proteins of the WT and the lhcb5 mutant. The protein content was determined by LC-MS/MS in isolated thylakoid membranes. PSII represents the sum of relative PG intensities of D1, D2, CP43, and CP47 proteins, LHCII - LHCB1–3 proteins, PSI - PSAA and PSAB proteins, LHCI - LHCA1–4 proteins, ATPS - α and β subunits of ATP synthase, and cyt f represents cytochrome f component of cytochrome b6f complex. The columns represent means ± SD, individual points show technical replicates. All data passed the normality and equal variance tests and according to Student t-test the datasets of WT and lhcb5 are not significantly different (α ≤ 0,05). FIGURE 2 Separation and structural characterization of PSII supercomplexes from lhcb5 mutant plants. (A) Separation of pigment–protein complexes from thylakoid membranes from Arabidopsis&ensp;thaliana WT and lhcb5 mutant plants by clear native polyacrylamide gel electrophoresis. Thylakoid membranes were solubilized by n-dodecyl α-D-maltopyranoside (detergent/chlorophyll mass ratio of 10). (B) Electron density maps of characteristic PSII supercomplexes from the separated green gel bands of the lhcb5 mutant designated as C2S2M2, C2S2M and C2SM. Projection maps are fitted by corresponding structural high-resolution models of PSII supercomplexes (Van Bezouwen et al., 2017) without LHCB5. Individual PSII subunits are color-coded according to (E). (C), (D) Comparison of structural models of the PSII C2S2M2 supercomplexes from Arabidopsis thaliana WT and the lhcb5 mutant. (C) Projection map of the PSII C2S2M2 supercomplex from Arabidopsis thaliana wild type (Ilíková et al., 2021) fitted by the high-resolution structure from Van Bezouwen et al. (2017). (D) Overlay of structural models of the PSII C2S2M2 supercomplex from Arabidopsis thaliana wild type (surface representation, partially transparent) and the lhcb5 mutant shows a specific shift of the S and M LHCII trimers as well as the monomeric antenna LHCB6 (see arrows in the corresponding colors) due to the absence of LHCB5. Individual PSII subunits are color-coded according to (E). (E) Legend of individual PSII subunits, which are color-coded as follows: PSII core complex in green, S and M LHCII trimers in red and blue, respectively, and the monomeric antenna proteins, LHCB4, LHCB5, LHCB6, in yellow, cyan, and dark orange, respectively. FIGURE 3 Organization of photosystem II in thylakoid membranes of the lhcb5 mutant. (A, B) Examples of electron micrographs of negatively stained thylakoid membrane isolated from the lhcb5 mutant with densities corresponding to the PSII core complex. Representative picture of PSII supercomplexes “randomly” organized (A) and organized into 2D semi-crystalline array (B). (C, D, E) Projection maps of PSII megacomplexes obtained using image analysis of PSII particles in thylakoid membranes. Three specific associations of PSII supercomplexes are shown and fitted by the model of PSII supercomplex C2S2M2 without LHCB5 (see Figure 2B). Megacomplexes are averaged projections of 1 925 (C), 2 241 (D), and 2 305 (E) particles. (F) Isolated PSII particle from thylakoid membranes with “randomly” organized PSII as an average projection of 3 741 particles fitted by the model of PSII supercomplex C2S2M2 without LHCB5 (see Figure 2B). (G) PSII supercomplexes organized into 2D semi-crystalline array as an average projection of 418 sub-areas together with the fitted model of PSII C2S2M2 supercomplexes (see Figure 2B). Projection maps of PSII supercomplexes show core complexes in green, S trimers in red, M trimers in blue, LHCB4 in yellow, and LHCB6 in dark orange color. FIGURE 4 Distribution of mutual distances between neighboring photosystem II particles in thylakoid membranes of Arabidopsis thaliana WT and the lhcb5 mutant. The distances between two closest neighboring PSII supercomplexes were analyzed using EM. Histograms are normalized to the maximum. SUPPORTING FIGURE 1 Analysis of chosen photosystem I and II photosynthesis related parameters. (A) Quantum yield of photochemistry of PSI - Y(I). (B) Quantum yield of photochemistry of PSII - Y(II). (C) Non-photochemical quenching – NPQ. Parameters were measured during actinic light exposure (800 µmol photons m-2 s-1) and dark relaxation using saturating light pulses (300 ms, 10 000 µmol photons m-2 s-1) in WT and lhcb5 mutant plants. Results represent mean values ± SD from 4 measurements. Plants were dark-adapted for 30 min before the measurement. SUPPORTING FIGURE 2 Single-particle image analysis and classification of protein complexes from CN−PAGE C2S2M2 band from the Arabidopsis lhcb5 mutant (Figure 2A). Number of averaged projections in given classes are indicated. SUPPORTING FIGURE 3 Single-particle image analysis and classification of protein complexes from CN−PAGE C2S2M band from the Arabidopsis lhcb5 mutant (Figure 2A). Number of averaged projections in given classes are indicated. SUPPORTING FIGURE 4 Single-particle image analysis and classification of protein complexes from CN−PAGE C2SM band from the Arabidopsis lhcb5 mutant (Figure 2A). Number of averaged projections in given classes are indicated. SUPPORTING FIGURE 5 A histogram of the relative abundance of PSII semi-crystalline arrays in thylakoid membranes of Arabidopsis lhcb5 mutant. The bars represent the number of electron micrographs where the 2D arrays cover the indicated percentage of the membrane. The histogram was obtained by evaluation of 50 randomly selected images. SUPPORTING TABLE 1 Physiological parameters of Arabidopsis WT and lhcb5 mutant plants. SUPPORTING TABLE 2 Density of bands corresponding to LHCB5-less PSII supercomplexes evaluated relatively to WT. Figure 1 C-D - source data for Figure 1. (panels C-D) Documentation of similar physiology of Arabidopsis thaliana wild type (WT), and its mutant with loss of LHCB5 protein subunit (lhcb5): (C) relative content of photosysthesis related proteins in thylakoid membranes of Arabidopsis thaliana lhcb5 genotype normalised to WT determined by LC-MS/MS; (D) relative protein ratios normalised to WT of photosynthesis related thylakoid membrane proteins of Arabidopsis thaliana lhcb5 genotype determined in isolated thylakoid membranes by LC-MS/MS. Figure 4 - source data for Figure 4. Relative distribution of photosystem II (PSII) distances in thylakoid grana membranes of Arabidopsis thaliana wild type (WT) and mutant with missing LHCB5 protein (lhcb5). Supporting figure 1 Source data for supporting figure 1 Photosynthesis related parametres describing PSI and PSII function. (A) quantum yield of photochemistry of PSI (Y(I)) in Arabidopsis thaliana WT and lhcb5 genotype leaves during red acitinic light exposure and dark relaxation; (B) quantum yield of photochemistry of PSII (Y(II)) in Arabidopsis thaliana WT and lhcb5 genotype leaves during red acitinic light exposure and dark relaxation; (C) non-photochemical quenching of Arabidopsis thaliana genotypes: The level of NPQ estimated during red acitinic light exposure and dark relaxation of WT and lhcb5 leaves. Supporting figure 5 Source data for Supplement figure 4. Relative abundance of 2D PSII arrays in the thylakoid membranes of Arabidopsis thaliana lhcb5 mutant from 50 randomly selected images. Supporting table 1 - source data Source data for supporting table 1. Physiological parameters of witl type (WT) Arabidopsis thaliana and its mutant lacking LHCB5 protein (lhcb5): Repetitions of data measured for each genotypes. Supporting table 2 - source data Source data for supporting table 2. Density of bands corresponding to LHCB5-less PSII supercomplexes evaluated relatively to WT: Repetitions of data measured for each genotypes. Figure 1B source WB Source WB picture for FIGURE 1B. Figure 1B source WB, marker Source WB picture with molecular marker for FIGURE 1B.

opencc-by-4.0Sep 2024View details →

zenodo44/100

High Gain Reflector Antenna for M3tera H2020 Project - Dataset

The following paper presents design and fabrication process of a high gain reflector antenna system carried out within the H2020 M3tera project. This project is focused on the development of a complete microsystem able to work as high rate communication link at D-Band frequencies. The paper presents design and fabrication aspects of two prototypes one fabricated by conventional techniques and the second one by 3D printing. Comparative performance will be presented at the conference

opencc-by-nc-4.0Aug 2017View details →

zenodo44/100

Panchromatic Light-Harvesting Antenna by Supramolecular Exciton Band Engineering for Heteromeric Dye Foldamer

Data to report <a href="https://doi.org/10.1016/j.chempr.2024.05.023">https://doi.org/10.1016/j.chempr.2024.05.023</a>: Natural photosystems accomplish panchromatic light absorption by different chromophores that are non-covalently embedded in protein matrices and mostly lack close dye-dye interactions. In this article, we introduce a light-harvesting (LH) system established by four different merocyanine dyes that are co-facially stacked by dipole-dipole interactions and a peptide-like backbone in a folded heteromer architecture to afford a panchromatic absorption band consisting of several strongly coupled exciton states. This exciton manifold allows for ultrafast and efficient energy transport in the artificial antenna. Furthermore, due to the tight stacking of the dyes in their folded state, non-radiative processes are slowed down, thereby increasing the lifetime of the excited state and the fluorescence quantum yield from <3% for the individual dyes up to 38% for the folda-heteromer. Together with the panchromatic absorption, this leads to a substantial improvement of the fluorescence brightness upon broadband excitation in comparison with its constituent chromophores.

opencc-by-4.0Jan 2024View details →

zenodo44/100

Simulated Self-user Shadowing for Mobile Phone Antennas at 28 GHz and at 60 GHz

The purpose of this dataset is to supplement the data presented in our conference publication "Self-user shadowing effects of millimeter-wave mobile phone antennas in a browsing mode" at EuCAP 2019 (see <a href="https://ieeexplore.ieee.org/document/8739947">https://ieeexplore.ieee.org/document/8739947</a>). This dataset contains the 3-D surface meshes of the two numeric human body models used in the above publication. One body model holds the mobile phone with one hand (vertically, "OneHand") and the other body model with both hands (horizontally, "TwoHand"). The body models were initially exported from MakeHuman (<a href="http://www.makehumancommunity.org">http://www.makehumancommunity.org</a>), the actual body postures were then created with Blender 3D Creation Suite (<a href="https://www.blender.org">https://www.blender.org</a>), and these final body models were exported in OBJ format (a generic geometry definition file format). Then these models were imported into CST Studio Suite (<a href="http://www.cst.com">http://www.cst.com</a>) in order to simulate the 3-D realised-gain patterns of the antenna. The material properties of the human body model used in the simlations are described in detail in the above publication. Also the dual-polarised mobile-phone antenna design with one vertical feed port and one horizontal feed port is described in detail within the above publication (see Fig. 3) and is not part of this dataset. (Note that "port #1" in Fig. 3 of the publication denotes the vertical antenna port for the one-hand case, while "port #1" denotes the horizontally antenna port in the two-hand case.) This dataset also contains the simulated 3-D polarimetric, directional, complex-valued (real, imaginary) realised-gain patterns, seperately for 28 GHz and for 60 GHz, in 1-degree resolution in both phi and theta directions. The patterns are seperately given for the vertical ("VPolPatch")and the horizontal feed port ("HPolPatch"). The 2-D pattern cuts presented in the above publication (in Figs. 5-11) are subsets of the 3-D patterns in this dataset. The format of the eight ascii files {xxGHzStandingyyHandzzPolPatch.txt} is a follows: 1st column: Theta angle in degrees 2nd column: Phi angle in degrees 3rd column: real part of Gain, theta component, in dBi 4th column: imaginary part of Gain, theta component, in dBi 5th column: real part of Gain, phi component, in dBi 6th column: imaginary part of Gain, phi component, in dBi where xx is "28" or "60" (GHz), yy is "One" or "Two" (-hand grip), and zz is "H" or "V" (-pol. antenna port), as described above. The spherical coordinate system is used in accordance to the IEEE-standard spherical coordinate system. The underlying Cartesian coordinate system is shown in the two attached preview (PNG) image files for both human body models, where the z-axis (theta=0 degrees) points to the directions of the head of the human, the x-axis (phi=0 degrees) towards the left side of the human, and the y-axis toward the back of the human.

opencc-by-4.0Jun 2019View details →

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5405 MHz SigMF baseband recording of RCM-2 (Radarsat Constellation) using PlutoPlus SDR and four log periodic array (LPA) antennas

This dataset contains a recording of the <a href="https://www.asc-csa.gc.ca/eng/satellites/radarsat/technical-features/radarsat-comparison.asp">RCM-2</a> (<a href="https://en.wikipedia.org/wiki/RADARSAT_Constellation">Radarsat Constellation</a>) satellite as it passed over Berkeley, California. The recording was made on 2024-08-13 and is about 15 seconds long, containing acquisition of signal pulses and loss of signal at the tail end of the recording. The dataset is stored in SigMF format. The data files are compressed with xz to reduce their size. The IQ sample rate is  20.0 Msps and the center frequency is 5405 MHz. The linear antenna array used to record contained four HT5 antennas, labeled as:  "HT5 antenna UWB log-periodic antenna 1300MHz-10GHz". These four antennas were spaced 21 cm apart.  The input from these four antennas was combined with a SP-TX-4B splitter/combiner using equal lengths of LMR400 coax, then amplified using an LNA labeled as "RF AMP 04A: TQP3M9037 0.1-6GHz". The LNA was powered via a +5 volt bias-tee.  A "Pluto+" or Pluto Plus SDR was used to sample, with SatDump software.

opencc-by-4.0Aug 2024View details →

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Figures 175-182. Antennae, SEMs. 175 in Morphology of Baridinae and related groups (Coleoptera, Curculionidae)

Figures 175-182. Antennae, SEMs. 175, Idiostethus subcalvus; 176, Stethobaris laevimargo; 177, Pertorcus sp.; 178, Madarus bistrigellus; 179-180, Cylindrocerus comma, showing elongate club; 181-182, Taiwanobaris sp., showing annulation on 3rd club article.

opencc-by-4.0May 2009View details →

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Figs |-4. Labena acerba sp. n., ♀, holotype: 1 − head, anterior view; 2 – head, dorsal view; 3 − head with antenna, lateral view; 4 – first metasomal segment, lateral view. in Mexican species of Labena Cresson (Hymenoptera, Ichneumonidae) with description of a new species

Figs |-4. Labena acerba sp. n., ♀, holotype: 1 − head, anterior view; 2 – head, dorsal view; 3 − head with antenna, lateral view; 4 – first metasomal segment, lateral view.

opencc-by-4.0Feb 2009View details →

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Fig. 1. Antenna. A. Pseudabia fusca Schrottky, 1910 in A review of the South American genera of Cimbicidae (Insecta, Hymenoptera)

Fig. 1. Antenna. A. Pseudabia fusca Schrottky, 1910, ♀ (NMNH). B. Trichiosoma latreillei (Leach, 1817), ♀ (NHML).

opencc-by-4.0Dec 2018View details →

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Fig. 5. Psammoecus grandis Grouvelle, 1908. A. Right antenna. B. Median lobe. C in Three new species and new records of African Psammoecus Latreille (Coleoptera, Silvanidae)

Fig. 5. Psammoecus grandis Grouvelle, 1908. A. Right antenna. B. Median lobe. C. Parameres. Scale lines = 0.5 mm.

opencc-by-3.0Jul 2014View details →

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Fig. 11. Psammoecus simoni Grouvelle, 1892, lectotype. A. Habitus. B. Right antenna. C. Parameres. Scale line A, B in A revision of African Psammoecus (Coleoptera, Silvanidae) and descriptions of two new species from the collection of the Musée royal de l'Afrique centrale

Fig. 11. Psammoecus simoni Grouvelle, 1892, lectotype. A. Habitus. B. Right antenna. C. Parameres. Scale line A, B: 1 mm; C: 0.2 mm.

opencc-by-3.0Jun 2012View details →

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Fig. 8. Pammoecus marginicollis Grouvelle, 1908, holotype. A. Habitus. B. Right antenna. C. Parameres. Scale line A, B in A revision of African Psammoecus (Coleoptera, Silvanidae) and descriptions of two new species from the collection of the Musée royal de l'Afrique centrale

Fig. 8. Pammoecus marginicollis Grouvelle, 1908, holotype. A. Habitus. B. Right antenna. C. Parameres. Scale line A, B: 1 mm; C: 0.2 mm.

opencc-by-3.0Jun 2012View details →

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Fig. 12. Psammoecus spinosus Grouvelle,1882, specimen from Bingerville. A. Habitus. B. Right antenna. C. Parameres. Scale line A, B in A revision of African Psammoecus (Coleoptera, Silvanidae) and descriptions of two new species from the collection of the Musée royal de l'Afrique centrale

Fig. 12. Psammoecus spinosus Grouvelle,1882, specimen from Bingerville. A. Habitus. B. Right antenna. C. Parameres. Scale line A, B: 1 mm; C: 0.2 mm.

opencc-by-3.0Jun 2012View details →

ScienceDex guides

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These curated guides explain access requirements, typical timelines, costs, and reuse considerations for widely used research datasets.

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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.

allen-brain-atlas

neuroscienceopenDocumentation, web resources, and API references are available online.

Last verified 2026-04-30Open record

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.

abode-home-cage

behavioral-neuroscienceopenThe DataShare record exposes download links for annotations, documentation, license text, and the zipped per-snippet data directory.

Last verified 2026-04-30Open record

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.

dandi-nwb

electrophysiologyopenPublished Dandiset metadata and archive endpoints are available through the production DANDI API.

Last verified 2026-04-30Open record

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.

ibl

behavioral-neuroscienceopenPublic sessions can be searched and loaded from the IBL public data server through ONE.

Last verified 2026-04-29Open record

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.

openneuro

neuroscienceopenPublished datasets are available on demand over the internet.

Last verified 2026-04-29Open record