Find research datasets worth reusing

Fig. 4 in Two new free-living nematode species (Trefusiina: Trefusiidae) from the Chatham Rise crest, Southwest Pacific Ocean

Fig. 4. Trefusialaimus idrisi sp. nov. Light micrographs. A. Anterior body region of male, lateral view. B. Anterior body region of juvenile, dorsal view. C. Mid-body region of juvenile, showing sperm cells in pseudocoelom. D. Entire male. E. Lateral chord of male, showing round golden inclusions. Arrows point to sperm cells. Scale bar: A-C, E = 15 µm; D = 260 µm.

Fig. 3 in Two new free-living nematode species (Trefusiina: Trefusiidae) from the Chatham Rise crest, Southwest Pacific Ocean

Fig. 3. Trefusialaimus idrisi sp. nov. A. Anterior body region of male. B. Head of male. C. Head of juvenile. D. Right spicule. E. Gubernaculum. F. Male copulatory apparatus. G. Mature sperm. H. Posterior body region of male. Scale bar: A = 40 µm; B-C, G = 20 µm; D-E = 14 µm; F = 28 µm; H = 75 µm.

Fig. 2 in Two new free-living nematode species (Trefusiina: Trefusiidae) from the Chatham Rise crest, Southwest Pacific Ocean

Fig. 2. Trefusia piperata sp. nov. Light micrographs. A. Head region of male, showing buccal cavity, cephalic setae, and clusters of dark granules at base of outer labial setae. B. Spicule and gubernaculum. C. Entire male. Scale bar: A-B = 10 µm; C = 100 µm.

Fig. 1 in Two new free-living nematode species (Trefusiina: Trefusiidae) from the Chatham Rise crest, Southwest Pacific Ocean

Fig. 1. Trefusia piperata sp. nov. A. Anterior body region of female. B. Anterior body region of male. C. Entire female. D. Right spicule and gubernaculum. E. Posterior body region of male. Arrow shows position of vulva. Scale bar: A-B, E = 20 µm; C = 75 µm; D = 8 µm.

opencc-by-4.0Feb 2015View details →

Figure 4 in Two new free-living nematode species of Setosabatieria (Comesomatidea) from the East China Sea and the Chukchi Sea

Figure 4. Setosabatieria major sp. nov. (A) lateral view of male head end, showing cervical setae; (B) lateral view of female head end, showing female amphidial fovea; (C) lateral view of female vulva region, showing vulva and eggs; (D) lateral view of male tail region. Scale bars: A = 25 µm; B = 10 µm; C, D = 50 µm.

opencc-by-4.0Aug 2019View details →

Wrist-mounted IMU data towards the investigation of free-living human eating behavior - the Free-living Food Intake Cycle (FreeFIC) dataset

Introduction The Free-living Food Intake Cycle (FreeFIC) dataset was created by the <a href="http://mug.ee.auth.gr">Multimedia Understanding Group</a> towards the investigation of in-the-wild eating behavior. This is achieved by recording the subjects’ meals as a small part part of their everyday life, unscripted, activities. The FreeFIC dataset contains the $3D$ acceleration and orientation velocity signals ($6$ DoF) from $22$ in-the-wild sessions provided by $12$ unique subjects. All sessions were recorded using a commercial smartwatch ($6$ using the Huawei Watch 2™ and the MobVoi TicWatch™ for the rest) while the participants performed their everyday activities. In addition, FreeFIC also contains the start and end moments of each meal session as reported by the participants. Description FreeFIC includes $22$ in-the-wild sessions that belong to $12$ unique subjects. Participants were instructed to wear the smartwatch to the hand of their preference well ahead before any meal and continue to wear it throughout the day until the battery is depleted. In addition, we followed a self-report labeling model, meaning that the ground truth is provided from the participant by documenting the start and end moments of their meals to the best of their abilities as well as the hand they wear the smartwatch on. The total duration of the $22$ recordings sums up to $112.71$ hours, with a mean duration of $5.12$ hours. Additional data statistics can be obtained by executing the provided python script stats_dataset.py. Furthermore, the accompanying python script viz_dataset.py will visualize the IMU signals and ground truth intervals for each of the recordings. Information on how to execute the Python scripts can be found below. <pre><code># The script(s) and the pickle file must be located in the same directory. # Tested with Python 3.6.4 # Requirements: Numpy, Pickle and Matplotlib # Calculate and echo dataset statistics $ python stats_dataset.py # Visualize signals and ground truth $ python viz_dataset.py</code></pre> FreeFIC is also tightly related to Food Intake Cycle (FIC), a dataset we created in order to investigate the in-meal eating behavior. More information about FIC can be found <a href="https://zenodo.org/record/4421861">here</a> and <a href="https://mug.ee.auth.gr/intake-cycle-detection/">here</a>. Publications If you plan to use the FreeFIC dataset or any of the resources found in this page, please cite our work: <pre><code>@article{kyritsis2020data, title={A Data Driven End-to-end Approach for In-the-wild Monitoring of Eating Behavior Using Smartwatches}, author={Kyritsis, Konstantinos and Diou, Christos and Delopoulos, Anastasios}, journal={IEEE Journal of Biomedical and Health Informatics}, year={2020}, publisher={IEEE}}</code></pre> <pre><code>@inproceedings{kyritsis2017automated, title={Detecting Meals In the Wild Using the Inertial Data of a Typical Smartwatch}, author={Kyritsis, Konstantinos and Diou, Christos and Delopoulos, Anastasios}, booktitle={2019 41th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC)}, year={2019}, organization={IEEE}} </code></pre> Technical details We provide the FreeFIC dataset as a <a href="https://docs.python.org/3/library/pickle.html">pickle</a>. The file can be loaded using Python in the following way: <pre><code class="language-python">import pickle as pkl import numpy as np with open('./FreeFIC_FreeFIC-heldout.pkl','rb') as fh: dataset = pkl.load(fh)</code></pre> The dataset variable in the snipet above is a dictionary with $5$ keys. Namely: <ul> <li>'subject_id'</li> <li>'session_id'</li> <li>'signals_raw'</li> <li>'signals_proc'</li> <li>'meal_gt'</li> </ul> The contents under a specific key can be obtained by: <pre><code class="language-python">sub = dataset['subject_id'] # for the subject id ses = dataset['session_id'] # for the session id raw = dataset['signals_raw'] # for the raw IMU signals proc = dataset['signals_proc'] # for the processed IMU signals gt = dataset['meal_gt'] # for the meal ground truth </code></pre> The sub, ses, raw, proc and gt variables in the snipet above are lists with a length equal to $22$. Elements across all lists are aligned; e.g., the $3$rd element of the list under the 'session_id' key corresponds to the $3$rd element of the list under the 'signals_proc' key. sub: list Each element of the sub list is a scalar (integer) that corresponds to the unique identifier of the subject that can take the following values: $[1, 2, 3, 4, 13, 14, 15, 16, 17, 18, 19, 20]$. It should be emphasized that the subjects with ids $15, 16, 17, 18, 19$ and $20$ belong to the held-out part of the FreeFIC dataset (more information can be found in the publication titled "A Data Driven End-to-end Approach for In-the-wild Monitoring of Eating Behavior Using Smartwatches" by Kyritsis et al). Moreover, the subject identifier in FreeFIC is in-line with the subject identifier in the FIC dataset (more info <a href="https://zenodo.org/record/4421861">here</a> and <a href="https://mug.ee.auth.gr/intake-cycle-detection/">here</a>); i.e., FIC’s subject with id equal to $2$  is the same person as FreeFIC’s subject with id equal to $2$. ses: list Each element of this list is a scalar (integer) that corresponds to the unique identifier of the session that can range between $1$ and $5$. It should be noted that not all subjects have the same number of sessions. raw: list Each element of this list is dictionary with the 'acc' and 'gyr' keys. The data under the 'acc' key is a $N_{acc} \times 4$ numpy.ndarray that contains the timestamps in seconds (first column) and the $3D$ raw accelerometer measurements in $g$ (second, third and forth columns - representing the $x, y $ and $z$ axis, respectively). The data under the 'gyr' key is a $N_{gyr} \times 4$ numpy.ndarray that contains the timestamps in seconds (first column) and the $3D$ raw gyroscope measurements in ${degrees}/{second}$(second, third and forth columns - representing the $x, y $ and $z$ axis, respectively). All sensor streams are transformed in such a way that reflects all participants wearing the smartwatch at the same hand with the same orientation, thusly achieving data uniformity. This transformation is in par with the signals in the FIC dataset (more info <a href="https://zenodo.org/record/4421861">here</a> and <a href="https://mug.ee.auth.gr/intake-cycle-detection/">here</a>). Finally, the length of the raw accelerometer and gyroscope numpy.ndarrays is different $(N_{acc} \neq N_{gyr})$. This behavior is predictable and is caused by the Android platform. proc: list Each element of this list is an $M\times7$  numpy.ndarray that contains the timestamps, $3D$ accelerometer and gyroscope measurements for each meal. Specifically, the first column contains the timestamps in seconds, the second, third and forth columns contain the $x,y$ and $z$ accelerometer values in $g$ and the fifth, sixth and seventh columns contain the $x,y$ and $z$ gyroscope values in ${degrees}/{second}$. Unlike elements in the raw list, processed measurements (in the proc list) have a constant sampling rate of $100$ Hz and the accelerometer/gyroscope measurements are aligned with each other. In addition, all sensor streams are transformed in such a way that reflects all participants wearing the smartwatch at the same hand with the same orientation, thusly achieving data uniformity. This transformation is in par with the signals in the FIC dataset (more info <a href="https://zenodo.org/record/4421861">here</a> and <a href="https://mug.ee.auth.gr/intake-cycle-detection/">here</a>). No other preprocessing is performed on the data; e.g., the acceleration component due to the Earth's gravitational field is present at the processed acceleration measurements. The potential researcher can consult the article "A Data Driven End-to-end Approach for In-the-wild Monitoring of Eating Behavior Using Smartwatches" by Kyritsis et al. on how to further preprocess the IMU signals (i.e., smooth and remove the gravitational component). meal_gt: list Each element of this list is a $K\times2$ matrix. Each row represents the meal intervals for the specific in-the-wild session. The first column contains the timestamps of the meal start moments whereas the second one the timestamps of the meal end moments. All timestamps are in seconds. The number of meals $K$ varies across recordings (e.g., a recording exist where a participant consumed two meals). Ethics and funding Informed consent, including permission for third-party access to anonymised data, was obtained from all subjects prior to their engagement in the study. The work has received funding from the European Union's Horizon 2020 research and innovation programme under Grant Agreement No 727688 - <a href="https://bigoprogram.eu/">BigO: Big data against childhood obesity</a>. Contact Any inquiries regarding the FreeFIC dataset should be addressed to: Dr. Konstantinos KYRITSIS Multimedia Understanding Group (MUG) Department of Electrical & Computer Engineering Aristotle University of Thessaloniki University Campus, Building C, 3rd floor Thessaloniki, Greece, GR54124 Tel: +30 2310 996359, 996365  Fax: +30 2310 996398 E-mail: kokirits [at] mug [dot] ee [dot] auth [dot] gr

opencc-by-4.0Mar 2020View details →

Figs 1–9 in Two new species of free-living nematodes (Nematoda) from Vietnam

Figs 1–9. Morphology of Monhistera vietnamica sp. nov. (1–5) and Brevitobrilus larae sp. nov. (6–9). 1, 6, entire body of female; 2, 7, head; 3, esophagus; 4, 8, vulval section; 5, 9, tail. Scale bars: 2, 7 – 5 µm; 3, 4, 5, 8, 9 – 20 µm; 1, 6 – 50 µm.

opencc-by-4.0Dec 2022View details →

Fig. 3 in Free-living Heterotrophic Flagellates Lakes in Turkey (Protista) from Two Hypersaline

Fig. 3. (a) Ancyromonas sigmoides, (b) Caecitellus parvulus, (c) Cafeteria roenbergensis, (d) Cantina marsupialis, (e) Chelonemonas sp., (f) Codosiga botrytis, (g) Carpediemonas membranifera, (h) Neobodo curvifilus, (i) Neobodo designis, (j) Neobodo saliens, (k) unidentified protist, (l)-(m) Pleurostomum flabellatum, (n) Rhyncomonas nasuta, (o) Monosiga brevicollis, (p) Salpingoeca marina, (q) Pendulomonas adriperis, (r) Halocafeteria seosinensis. All micrographs are DIC images. Scale bar in (k) represents for all figures.

opencc-by-4.0Dec 2022View details →

Fig. 2 in Free-living Heterotrophic Flagellates Lakes in Turkey (Protista) from Two Hypersaline

Fig. 2. (a) Ancyromonas sigmoides, (b) Neobodo curvifilus, (c) Chelonemonas sp., (d) Carpediemonas membranifera, (e) Caecitellus parvulus, (f) Codosiga botrytis, (g) Cafeteria roenbergensis, (h) Pleurostomum flabellatum, (i) Rhynchomonas nasuta, (j) Salpingoeca marina, (k) Pendulomonas adriperis, (l) Neobodo saliens, (m) unidentified protist, (n) Neobodo designis, (o) Monosiga brevicollis, (p) Halocafeteria seosinensis, (q) Cantina marsupialis.

opencc-by-4.0Dec 2019View details →

Fig. 1 in Evidence of Stress Recovery in Free-Living Ciliate Colpoda cucullus: The Repair Capability of Resting Cysts to Damage Caused by Gamma Irradiation

Fig. 1. Excystment assay of Colpoda wet cysts (A) and dry cysts (B). 'Non-irradiated' indicates non-irradiated cysts; 'irradiated' indicates cysts irradiated at 4000 Gy, and 'irradiated-incubated' indicates cysts irradiated at 4000 Gy and incubated for 12 hours before the induction of excystment. Time indicates the number of hours after the induction of excystment. Columns and attached bars correspond to the means and standard errors, respectively, of six measurements. Asterisks and double asterisks represent significant differences at p <0.05 and p <0.01 (Mann-Whitney U test), respectively.

Fig. 5 in Small Free-Living Heterotrophic Flagellates from Marine Sediments of Gippsland Basin, South-Eastern Australia

Fig. 5. Dendrogram showing the Bray-Curtis similarity (%) between the communities from 41 habitats; taxonomic information based on species. Species data used for this analysis were from Lee and Patterson (1998), Al-Qassab et al. (2002), Lee et al. (2003, 2005), Lee (2002b, 2006a, b, 2008, 2012), Schroeckh et al. (2003), Aydin and Lee (2012) and the present study. MB – marine benthic habitats, MP – marine planktonic habitats, FB – freshwater benthic habitats, FP – freshwater planktonic habitats. * indicates Australian sites.

Fig. 2. a in Small Free-Living Heterotrophic Flagellates from Marine Sediments of Gippsland Basin, South-Eastern Australia

Fig. 2. a – Chilomastix cuspidata, showing general appearance of cell; b – Goniomonas amphinema, showing general appearance of cell; c – G. pacifica, note two flagella diverging; d – Percolomonas similis, note ventral groove; e – Bodo platyrhynchus; f – Neobodo curvifilus; g – N. saliens; h–i – Hemistasia phaeocysticola, note a papillum (arrow); j – Bordnamonas tropicana, showing general appearance and mouth (arrow); k – Rhynchomonas nasuta; l–o – Rhynchobodo simius; l – tubular ingestion organelle (arrow); m, o – showing groove; n – general appearance of cell; p–q – Rhynchopus amitus; r–s – Spironema multiciliatum; t – Amastigomonas debruynei, general appearance of cell; u – Amastigomonas mutabilis, note anterior flagellum projecting from sleeve and recurrent flagellum; v – Apusomonas sp.; w – Psammosa unguis nov. comb., general appearance of cell; x–y – Mantamonas plastica; x – note anterior flagellum (arrow) and y – ventral depression. All micrographs are DIC images. Scale bar: 5 µm for all figures.

Fig. 1. a in Small Free-Living Heterotrophic Flagellates from Marine Sediments of Gippsland Basin, South-Eastern Australia

Fig. 1. a – Chilomastix cuspidata, b – Rhynchopus amitus, c – Spironema multiciliatum, d – Psammosa unguis nov. comb., e – Apusomonas sp., f – Rhynchobodo formica, g – Mantamonas plastica, h – Roombia truncata, i – Thaumatomastix setifera, j – Ancyromonas impluvium nov. spec., k – Helkesimastix faecicola, l – Kurnaimonas celeris nov. spec., m – Sinistermonas sinistrorsus nov. spec., n – Kiitoksia kaloista, o – Protist '1'. Scale bar: 10 µm for all figures.

Fig. 4. a in Small Free-Living Heterotrophic Flagellates from Marine Sediments of Gippsland Basin, South-Eastern Australia

Fig. 4. a – Carpediemonas membranifera; b – Kipferlia bialata; c – Discocelis saleuta, note a short flagellum; d – Metopion fluens, showing general appearance of cell, note shorter flagellum (arrow); e–f – Kurnaimonas celeris nov. spec., showing general appearance of cell; g – Pseudophyllomitus granulatus; h – Helkesimastix faecicola, showing general appearance and note short flagellum (arrow); i – Metromonas grandis, showing general appearance of cell and note the folded margin on the left side and short flagellum (arrow); j – Metromonas simplex, showing general appearance of cell and note short flagellum (arrow); k – Kiitoksia kaloista, showing two flagella and note short flagellum (arrow); l – Sinistermonas sinistrorsus nov. spec., showing general appearance of cell, and note flagellar insertion and beating pattern of anterior flagellum; m – Telonema subtilis, showing general appearance; n – Protist '1'. All micrographs are DIC images. Scale bar: 5 µm for all figures.

Fig. 3. a–b in Small Free-Living Heterotrophic Flagellates from Marine Sediments of Gippsland Basin, South-Eastern Australia

Fig. 3. a–b – Rhynchobodo formica; c – Massisteria marina, general appearance of cell showing pseudopodia and flagella (arrow); d–f – Cercomonas sp.; d – note two acronematic flagella; e – general appearance; f – note flagellar orientation; g–h – Roombia truncata, note cell attached to the substrate by the tip of the posterior flagellum and note extrusomes; i – Protaspa obliqua, note anterior protrusion; j–k – Thaumatomastix setifera, note spines around the body; j – general appearance of cell; k – ventral face showing a deep groove and pseudopodia; l–m – Ancyromonas sigmoides of different cells; l – note slightly thick anterior flagellum with acronematic tip and broad rostrum; m – note thick anterior flagellum and acute rostrum; n–p – Ancyromonas impluvium nov. spec., showing general appearance of cell and note flagellar insertion. All micrographs are DIC images with the exceptions of (d) and (p) which are phase contrast images. Scale bar: 5 µm for all figures.

Table 1 in Latitudinal Diversity Gradients in Free-living Microorganisms - Hoogenraadia a Key Genus in Testate Amoebae Biogeography

Table 1. Characters and distribution of six species of the genus Hoogenraadia (L – length, W – width). Many of the earlier papers do not report a sample size for number of tests measured – so it is possible that some of these data may be based on a very low sample size.<table><tbody><tr><th>Species</th><th>Size (µm)</th><th>Distribution regions and publication</th><th>Habitats</th></tr></tbody><tbody><tr><th>H. africana</th><td>L = 95–115, W = 47–60</td><td>Moyen-Congo (Gauthier-Lièvre and Thomas 1958), Guinea and Equatorial Guinea (Golemansky 1962), Brasil (Leiptniz et al. 2003), China (Qin et al. 2011)</td><td>Sphagnum, water, river, forest marsh</td></tr><tr><th>H. asiatica</th><td>L = 95, W = 70</td><td>China (Wang and Min 1987)</td><td>Quaternary deposit</td></tr><tr><th>H. cryptostoma</th><td>L = 130–140, W = 105–110</td><td>Moyen-Congo (Gauthier-Lièvre and Thomas 1958), States of Parana, Mato Grosso du Sul, Brasil (Velho et al. 1996, 2000)</td><td>Swamp quite shady in the bed of a stream</td></tr><tr><th>H. humicola</th><td>L = 143–146, W = 96–100</td><td>Nepal, Himalayas (Bonnet 1977, 1978), Philippines (Bonnet 1980), Cote d’Ivoire, Africa (Bonnet 1976, 1978), Tonga and Western Samoa Islands (Korganova 1994), China (this paper)</td><td>Soils rich in organic debris in forest-gallery backwaters. The ground litter and sublitter horizons of white subtropical soils</td></tr><tr><th>H. ovata</th><td>L = 60–67, W = 36–39</td><td>Cote d’Ivoire, Africa (Bonnet 1976)</td><td>Soils rich in organic debris in forest-gallery backwaters</td></tr><tr><th>H. sylvatica</th><td>L = 82–93, W = 60–70</td><td>Punta Lara Province of Buenos Aires, Argentina (Vucetich 1974)</td><td>Moss in marginal forest</td></tr></tbody></table>

opencc-by-4.0Nov 2017View details →

Fig. 3 in Oncholaimus langhovdensis sp. nov. (Nematoda: Enoplea: Oncholaimida), a New Species of Free-living Marine Nematode from Langhovde, Dronning Maud Land, East Antarctica

Fig. 3. Oncholaimus langhovdensis sp. nov., SEM images. A female ICHUM 5322 (A, B, D, F) and a male ICHUM 5321 (C, E). A, head, anterior view; B, head, lateral view; C, male tail, lateral view; D, female tail, lateral view; E, male cloacal region, ventral view; F, vulva, ventrolateral view. Scale bars: A, B, E, F, 10 µm; C, D, 50 µm.

opencc-by-4.0Nov 2017View details →

Fig. 2 in Oncholaimus langhovdensis sp. nov. (Nematoda: Enoplea: Oncholaimida), a New Species of Free-living Marine Nematode from Langhovde, Dronning Maud Land, East Antarctica

Fig. 2. Oncholaimus langhovdensis sp. nov. Male ICHUM 5311 (holotype; A, B), females ICHUM 5316 (C, D) and 5317 (E). A, testes; B, left spicule, lateral view; C, female posterior region; D, uvette and osmosium, right lateral view; E, uvette and osmosium, ventral view. Abbreviations: a.t., anterior testis; d.e., ductus entericus; d.u., ductus uterinus; e., egg; i., intestine; os., osmosium; ov., ovary; p.t., posterior testis; ut., uterus; uv., uvette; v., vulva; v.d., vas deferens. Scale bars: A, C, 500 µm; B, 10 µm; D, E, 50 µm.