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Figure 9 in The diversity of polychaetes (Annelida: Polychaeta) in a longterm pollution monitoring study from the Levantine coast of Turkey (Eastern Mediterranean), with the descriptions of four species new to science and two species new to the Mediterranean fauna
Figure 9. Leitoscoloplos mediterranea sp. nov. paratype (ESFM–POL/2018–156): (a) anterior end, dorso–lateral view; (b) anterior end, dorsal view; (c) anterior end, ventral view; (d) posterior end, pygidium, terminal view. Scale bar: a = 50 µm; b = 61 µm; c = 75 µm; d = 93 µm. Abbreviations. aC: anal cirrus; an: anus; mo: mouth; mOL: mouth lobes; nuO: nuchal organ; per: peristomium; pr: prostomium.
Figure 6 in The diversity of polychaetes (Annelida: Polychaeta) in a longterm pollution monitoring study from the Levantine coast of Turkey (Eastern Mediterranean), with the descriptions of four species new to science and two species new to the Mediterranean fauna
Figure 6. Oxydromus digitifera sp. nov. non-type material (ESFM-POL/2019-65): (a) anterior end, dorsal view; (b) anterior end, lateral view; (c) anterior end, dorso-lateral view; (d) tip of a middle parapodium with a characteristic digitiform projection. Scale bar: a, b = 0.6 mm; c = 0.3 mm; d = 25 µm.
Figure 3 in The diversity of polychaetes (Annelida: Polychaeta) in a longterm pollution monitoring study from the Levantine coast of Turkey (Eastern Mediterranean), with the descriptions of four species new to science and two species new to the Mediterranean fauna
Figure 3. Oxydromus digitifera sp. nov. paratype (ESFM-POL/2018-158): (a) anterior parapodium (chaetiger 2), anterior face; (b) middle parapodium (chaetiger 10), anterior face; (c) posterior parapodium (chaetiger 20), posterior face; (d) neuropodial falciger (chaetiger 10); (e) notopodial furcate chaeta. Scale bar: a–c = 200 µm; d = 26 µm; e = 20 µm.
Figure 4 in The diversity of polychaetes (Annelida: Polychaeta) in a longterm pollution monitoring study from the Levantine coast of Turkey (Eastern Mediterranean), with the descriptions of four species new to science and two species new to the Mediterranean fauna
Figure 4. Oxydromus digitifera sp. nov. paratype (ESFM-POL/2018-158): (a) whole body (posterior part missing), dorsal view; (b) whole body, lateral view; (c) anterior end, dorsal view; (d) anterior end, lateral view; (e) prostomium, dorsal view. Scale bar: a, b = 0.5 mm; c = 0.7 mm; d = 0.6 mm; e = 0.2 mm.
Figure 2 in The diversity of polychaetes (Annelida: Polychaeta) in a longterm pollution monitoring study from the Levantine coast of Turkey (Eastern Mediterranean), with the descriptions of four species new to science and two species new to the Mediterranean fauna
Figure 2. Oxydromus digitifera sp. nov. paratype (ESFM-POL/2018-158): (a) anterior end, dorsal view; (b) anterior end, lateral view. Scale bar: 0.5 mm.
Figure 5 in The diversity of polychaetes (Annelida: Polychaeta) in a longterm pollution monitoring study from the Levantine coast of Turkey (Eastern Mediterranean), with the descriptions of four species new to science and two species new to the Mediterranean fauna
Figure 5. Oxydromus digitifera sp. nov. paratype (ESFM-POL/2018-158): (a) anterior part of proboscis, dorsal view; (b) middle parapodia, dorsal view; (c) middle parapodium, posterior face; (d) tip of falciger, middle parapodium; (e) falciger, middle parapodium; (f) notopodial furcate chaeta, middle parapodium. Scale bar: a = 170 µm; b = 60 µm; c = 55 µm; d = 4 µm; e, f = 21 µm.
Figure 14 in The diversity of polychaetes (Annelida: Polychaeta) in a longterm pollution monitoring study from the Levantine coast of Turkey (Eastern Mediterranean), with the descriptions of four species new to science and two species new to the Mediterranean fauna
Figure 14. Paraonis lobulata sp. nov. paratype and non-type specimens: (a) dorsal view of notopodia, branchial region (ESFM-POL/2018-124); (b) posterior end with pygidium, dorsal side (ESFM-POL/2017- 157); (c) lateral sense organ, branchial region (ESFM-POL/2017-157); (d) lateral sense organ, postbranchial region (ESFM-POL/2017-157); (e) lateral sense organ, posterior region (ESFM-POL/2019-14); (f) notopodium, posterior region (ESFM-POL/2019-14); (g) parapodium with modifed neurochaetae, posterior region. Scale bar: a = 44 µm; b = 82 µm; c = 11 µm; d = 6 µm; e = 0.2 µm; f = 20 µm. Abbreviations. ac: anal cirri; lso: lateral sense organ; mneu: modified neurochaeta; np: notopodial papilla; ntpcl: notopodial postchaetal lobe.
Figure 12 in The diversity of polychaetes (Annelida: Polychaeta) in a longterm pollution monitoring study from the Levantine coast of Turkey (Eastern Mediterranean), with the descriptions of four species new to science and two species new to the Mediterranean fauna
Figure 12. Paraonis lobulata sp. nov. holotype, paratype and non-type specimens: (a) antero-dorsal view of body, arrows pointing to lobated shapes of segments, paratype (ESFM-POL/2019-12); (b) antero-ventral view of body (ESFM-POL/2019-12); (c) ventral view of body, branchial region (ESFMPOL/2019-12); (d) dorsal view of prostomium (ESFM-POL/2018-124); (e) lateral margin of prostomium, dorsal side (ESFM-POL/2018-124); (f) modified neurochaetae on chaetiger 63 (ESFM-POL/2019-11); (g) bilobated posterior lip (ESFM-POL/2019-12); (h) notopodial papilla on chaetiger 12 (ESFM-POL/2017- 157); (i) lateral view of branchial region, unlabeled arrow pointing to lobe-shaped segment (ESFMPOL/2019-12); (j) posterior body region, unlabeled arrow pointing to lobe-shaped segment (ESFMPOL/2019-11); (k) dorsal view of chaetiger 12, with branchia and notopodial papilla (ESFM-POL/2017- 157). Scale bar: a = 121 µm; b = 96 µm; c = 155 µm; d = 71 µm; e = 71 µm; f = 44 µm; g = 74 µm; h = 16 µm; i = 30 µm; j = 255 µm; k = 130 µm. Abbreviations. bran: branchia; cb: ciliary band; co: cheek organ; no: nuchal organ; np: notopodial papilla; ntpcl: notopodial postchaetal lobe; per: peristomium; vl: ventral lobe.
Figure 10 in The diversity of polychaetes (Annelida: Polychaeta) in a longterm pollution monitoring study from the Levantine coast of Turkey (Eastern Mediterranean), with the descriptions of four species new to science and two species new to the Mediterranean fauna
Figure 10. Leitoscoloplos mediterranea sp. nov. paratype (ESFM–POL/2014–488): (a) abdominal parapodium, dorso-lateral view; (b) abdominal parapodium, lateral view; (c) thoracic chaetigers, lateral view; (d) middle abdominal chaetigers, lateral view. Scale bar: a = 200 µm; b = 75 µm; c = 101 µm; d = 217 µm. Abbreviations. br: branchia; brc: branchial ciliae; Crcap: crenulated capillaries; neP: neuropodium; nePsL: neuropodial postchaetal lobe; noPsL: notopodial postchaetal lobe; sp: subpodial papillae; sPod flange: subpodial flange; vC: ventral cirrus.
Figure 8 in The diversity of polychaetes (Annelida: Polychaeta) in a longterm pollution monitoring study from the Levantine coast of Turkey (Eastern Mediterranean), with the descriptions of four species new to science and two species new to the Mediterranean fauna
Figure 8. Leitoscoloplos mediterranea sp. nov. paratypes: (a) anterior abdominal segment, cross section, anterior view (ESFM–POL/2015–304); (b) posterior abdominal parapodium, anterior view (ESFM–POL/2017–204); (c) thoracic parapodium, anterior view (ESFM–POL/2017–204); (d) crenulated capillary chaetae (a: in thoracic region; b: in anterior abdominal region; c: in posterior abdominal region). Scale bar: a = 0.5 mm; b = 0.36 mm; c = 0.45 mm; d(a) = 18 µm; d(b) = 14 µm; d(c) = 20 µm. Abbreviations. br: branchia; brc: branchial ciliae; br w/Lat lobe: branchia with a lateral lobe; Crcap: crenulated capillaries; neP: neuropodium; nePsL: neuropodial postchaetal lobe; neS: neuropodial chaeta; noPsL: notopodial postchaetal lobe; noS: notopodial chaeta; sPod flange: subpodial flange.
Figure 19 in The diversity of polychaetes (Annelida: Polychaeta) in a longterm pollution monitoring study from the Levantine coast of Turkey (Eastern Mediterranean), with the descriptions of four species new to science and two species new to the Mediterranean fauna
Figure 19. Chaetozone elakata ESFM-POL/2018-073 and ESFM-POL/2013-1430: (a) anterior end, dorsolateral view; (b) anterior end, dorsal view; (c) anterior end, dorsal view, stained with methyl green; (d) posterior parapodium, cross section. Scale bar: a = 0.96 mm; b = 0.72 mm; c = 0.98 mm; d = 0.14 mm.
Figure 7 in The diversity of polychaetes (Annelida: Polychaeta) in a longterm pollution monitoring study from the Levantine coast of Turkey (Eastern Mediterranean), with the descriptions of four species new to science and two species new to the Mediterranean fauna
Figure 7. Leitoscoloplos mediterranea sp. nov. paratype (ESFM-POL/2014-285): (a) anterior end, dorsal view; (b) anterior end, lateral view; (c) anterior end, lateral view with proboscis everted; (d) posterior end, dorso-lateral view. Scale bar: a = 0.5 mm; b = 0.63 mm; c = 0.42 mm; d = 0.27 mm. Abbreviations. aC: anal cirrus; an: anus; Crcap: crenulated capillaries; mo: mouth; neP: neuropodium; nePsl: neuropodial postchaetal lobe; noPsl: notopodial postchaetal lobe; nuO: nuchal organ; per: peristomium; pr: prostomium; prob: proboscis; sp: subpodial papillae; sPod flange: subpodial flange.
Data for: Condition monitoring system for in situ crack detection based on thermal emissions
<p>The advent of packaged infra-red (IR) bolometer detectors has led to thermography-based techniques becoming popular for non-destructive evaluation of aerospace structures. These packaged bolometers are relatively compact and cost about 10% the price of high-resolution IR photovoltaic effect detectors. In this work, a condition monitoring system for in situ crack detection has been presented which utilises an original equipment manufacturer (OEM) microbolometer detector. The proposed system cost approximately 1% the price of a state-of-the-art photovoltaic effect detector system and has the potential to transform the use of IR imaging for condition monitoring in the aerospace industry and elsewhere. The proposed system performs crack detection based on the principles of thermoelastic stress analysis (TSA), which is a well-established non-destructive thermography technique. Proof-of-concept lab tests were performed on open-hole aluminium specimens to compare the performance of the proposed system against an IR photovoltaic effect detector system and demonstrate its potential application for in situ crack detection in industrial environments. It was demonstrated that crack detection is possible from loading waveform signals with frequencies as low as 0.3 Hz. This represents a significant advance in the viability of TSA-based crack detection in large-scale structural tests where loading frequencies are usually lower than 1 Hz.</p> <p> </p>
Ninety years of coastal monitoring reveals baseline and extreme ocean temperatures are increasing off the Finnish coast
<p>Global marine heatwave assessments often rely on satellite-derived sea surface temperature. However, these data have low accuracy in coastal areas, are unable to measure sub-surface temperatures and have only been available since the 1980s. Here, we analyse 90 years of in situ surface and bottom (30 m) water temperature data from a Finnish coastal monitoring site. Water temperatures were significantly higher between 1991–2020 than 1931–1960 and 1961–1990. We find strong differences between satellite-derived and in situ temperatures, with in situ temperatures being lower in autumn and winter and higher in spring. Measurements at the seafloor indicate marine heatwaves occurred during all seasons between 2016 and 2020, with intensities and durations exceeding previous records. Since the 1990s, we find an upward shift of the baseline temperature and increasingly frequent occurrences of temperatures previously considered as an extreme. Our findings highlight the importance of long-term in situ data and choice of climatological reference periods for assessing change.</p>
Supplementary Material for the Paper "Design Recommendations for Self-Monitoring in the Workplace: Studies in Software Development"
<p>Contains the supplementary material for the paper "Design Recommendations for Self-Monitoring in the Workplace: Studies in Software Development" submitted to CSCW'18. All contents are explained in the file README.txt.</p> <p><strong>Abstract:</strong><br> One way to improve the productivity of knowledge workers is to increase their self-awareness about productivity at work through self-monitoring. Yet, little is known about expectations of, the experience with and the impact of self-monitoring in the workplace. To address this gap, we studied software developers, as one community of knowledge workers. We used an iterative, feedback-driven development approach (N=20) and a survey (N=413) to infer design elements for workplace self-monitoring, which we then implemented as a technology probe called WorkAnalytics. We field-tested these design elements during a three-week study with software development professionals (N=43). Based on the results of the field study, we present design recommendations for self-monitoring in the workplace, such as using experience sampling to increase the awareness about work and to create richer insights, the need for a large variety of different metrics to retrospect about work, and that actionable insights, enriched with benchmarking data from co-workers, are likely needed to foster productive behavior change at work.</p> <p><strong>Source Code:</strong></p> <p>The source code of WorkAnalytics can be found on <strong><a href="https://github.com/sealuzh/PersonalAnalytics">GitHub</a></strong> (under the original name PersonalAnalytics). WorkAnalytics was built with Microsoft's Dot.Net framework in C# and can be used on the Windows 7, 8 and 10 operating system.</p>
Dataset for publication 'Reconnecting Stochastic Methods with Hydrogeological Applications: Uncertainty Analysis and Risk Assessment for the Design of Optimal Monitoring Networks'
<p>This dataset includes all data and information on how to reproduce the results and the figures of the paper 'Reconnecting Stochastic Methods with Hydrogeological Applications: Uncertainty Analysis and Risk Assessment for the Design of Optimal Monitoring Networks'.</p>
Supplementary material 2 from: Redolfi De Zan L, Bardiani M, Antonini G, Campanaro A, Chiari S, Mancini E, Maura M, Sabatelli S, Solano E, Zauli A, Sabbatini Peverieri G, Roversi PF (2017) Guidelines for the monitoring of Cerambyx cerdo. In: Carpaneto GM, Audisio P, Bologna MA, Roversi PF, Mason F (Eds) Guidelines for the Monitoring of the Saproxylic Beetles protected in Europe. Nature Conservation 20: 129-164. https://doi.org/10.3897/natureconservation.20.12703
Field sheet 2 : Explanation note: Field sheet to be compiled during each survey (three a week for five weeks, 15 on the whole). For each trap checked, the operator must write the number of individuals captured, divided by sex and for trap height.
Supplementary material 1 from: Redolfi De Zan L, Bardiani M, Antonini G, Campanaro A, Chiari S, Mancini E, Maura M, Sabatelli S, Solano E, Zauli A, Sabbatini Peverieri G, Roversi PF (2017) Guidelines for the monitoring of Cerambyx cerdo. In: Carpaneto GM, Audisio P, Bologna MA, Roversi PF, Mason F (Eds) Guidelines for the Monitoring of the Saproxylic Beetles protected in Europe. Nature Conservation 20: 129-164. https://doi.org/10.3897/natureconservation.20.12703
Field sheet 1 : Explanation note: Field sheet for choosing the most suitable trees for the baited traps. The operator should mark with an "x" the corresponding box for the status of the canopy and the bark, the presence or not of sap or exit holes. It is also useful to write the presence of suitable trees around those selected.
Supplementary material 4 from: Romiti F, Redolfi De Zan L, Rossi de Gasperis S, Tini M, Scaccini D, Anaclerio M, Carpaneto G (2017) Latitudinal cline in weapon allometry and phenology of the European stag beetle. In: Campanaro A, Hardersen S, Sabbatini Peverieri G, Carpaneto GM (Eds) Monitoring of saproxylic beetles and other insects protected in the European Union. Nature Conservation 19: 57-80. https://doi.org/10.3897/natureconservation.19.12681
Allometric relationship between mandible (LnML) and elytron (LnEL) length of each population : Data type: statistical data
Supplementary material 1 from: Bardiani M, Chiari S, Maurizi E, Tini M, Toni I, Zauli A, Campanaro A, Carpaneto GM, Audisio P (2017) Guidelines for the monitoring of Lucanus cervus. In: Carpaneto GM, Audisio P, Bologna MA, Roversi PF, Mason F (Eds) Guidelines for the Monitoring of the Saproxylic Beetles protected in Europe. Nature Conservation 20: 37-78. https://doi.org/10.3897/natureconservation.20.12687
Field sheet : Explanation note: Field sheet to be compiled during each survey, for each transect. Each sighting is registered with a code, in the exact point of detection along the transect (path). Codes are reported on the right column of the field-sheet. Examples of codes: male in flight over 2 m – M2; female walk on the ground – F0; L. cervus with uncertain sex-determination, in flight below 2 m – U1.
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.