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Harrison Experimental Forest site, station NWS COOP #227840, Saucier Experimental Forest, MS, study of air temperature (mean minimum) in units of celsius on a monthly timescale
The EcoTrends project was established in 2004 by Dr. Debra Peters (Jornada Basin LTER, USDA-ARS Jornada Experimental Range) and Dr. Ariel Lugo (Luquillo LTER, USDA-FS Luquillo Experimental Forest) to support the collection and analysis of long-term ecological datasets. The project is a large synthesis effort focused on improving the accessibility and use of long-term data. At present, there are ~50 state and federally funded research sites that are participating and contributing to the EcoTrends project, including all 26 Long-Term Ecological Research (LTER) sites and sites funded by the USDA Agriculture Research Service (ARS), USDA Forest Service, US Department of Energy, US Geological Survey (USGS) and numerous universities. Data from the EcoTrends project are available through an exploratory web portal (http://www.ecotrends.info). This web portal enables the continuation of data compilation and accessibility by users through an interactive web application. Ongoing data compilation is updated through both manual and automatic processing as part of the LTER Provenance Aware Synthesis Tracking Architecture (PASTA). The web portal is a collaboration between the Jornada LTER and the LTER Network Office. The following dataset from Harrison Experimental Forest (HAR) contains air temperature (mean minimum) measurements in celsius units and were aggregated to a monthly timescale.
Harrison Experimental Forest site, station NWS COOP #227840, Saucier Experimental Forest, MS, study of air temperature (mean minimum) in units of celsius on a yearly timescale
The EcoTrends project was established in 2004 by Dr. Debra Peters (Jornada Basin LTER, USDA-ARS Jornada Experimental Range) and Dr. Ariel Lugo (Luquillo LTER, USDA-FS Luquillo Experimental Forest) to support the collection and analysis of long-term ecological datasets. The project is a large synthesis effort focused on improving the accessibility and use of long-term data. At present, there are ~50 state and federally funded research sites that are participating and contributing to the EcoTrends project, including all 26 Long-Term Ecological Research (LTER) sites and sites funded by the USDA Agriculture Research Service (ARS), USDA Forest Service, US Department of Energy, US Geological Survey (USGS) and numerous universities. Data from the EcoTrends project are available through an exploratory web portal (http://www.ecotrends.info). This web portal enables the continuation of data compilation and accessibility by users through an interactive web application. Ongoing data compilation is updated through both manual and automatic processing as part of the LTER Provenance Aware Synthesis Tracking Architecture (PASTA). The web portal is a collaboration between the Jornada LTER and the LTER Network Office. The following dataset from Harrison Experimental Forest (HAR) contains air temperature (mean minimum) measurements in celsius units and were aggregated to a yearly timescale.
Pre-computed features used for evaluating MS-TCN
<p>I3D features for 50Salads, GTEA and the Breakfast datasets that are used for evaluation in "Abu Farha and Gall, MS-TCN: Multi-Stage Temporal Convolutional Network for ActionSegmentation, CVPR 2019 "</p>
Machine learning in mass spectrometry: A MALDI-TOF MS approach to phenotypic antibacterial screening
<p>Dataset relating to the publication:</p> <p>Machine learning in mass spectrometry: A MALDI-TOF MS approach to phenotypic antibacterial screening</p> <p>by Luuk Nico van Oosten and Christian D. Klein</p> <p>Published in the Journal of Medicinal Chemistry, 2020</p> <p><strong>Important notice:</strong></p> <p><strong>The data are free to use for non-commercial, academic purposes, provided that the original source is<br> cited and the authors and the publication are credited in any derivative work.</strong></p> <p><strong>A patent application has been filed for the method described by van Oosten and Klein, which uses mass<br> spectrometry and machine learning to identify the pharmacological or other effects of compounds on cell<br> cultures and other biological systems.</strong></p> <p>Therefore, a license for the commercial use of the method must be negotiated by contacting either</p> <p>Anke Faller<br> Universität Heidelberg<br> Dezernat Forschung<br> Rechts- und Strukturfragen der Forschungsförderung<br> Seminarstraße 2, 69117 Heidelberg<br> Tel. +49 6221 54-12611<br> anke.faller(at)zuv.uni-heidelberg.de</p> <p>or</p> <p>Prof. Dr. C. Klein; c.klein(at)uni-heidelberg.de<br> Medicinal Chemistry<br> Institute of Pharmacy and Molecular Biotechnology IPMB<br> Heidelberg University, INF 364<br> D-69120 Heidelberg<br> Germany<br> Phone: ++49-6221-54-4875<br> FAX : ++49-6221-54-6430</p> <p> </p>
Supplementary material 1 from: Ollivier M, Kazakou E, Corbin M, Sartori K, Gooden B, Lesieur V, Thomann T, Martin J-F, Tixier MS (2020) Trait differentiation between native and introduced populations of the invasive plant Sonchus oleraceus L. (Asteraceae). NeoBiota 55: 85-115. https://doi.org/10.3897/neobiota.55.49158
Table S1. Location and climatic data for the 14 Sonchus oleraceus populations used for offspring comparisons under standardised conditions
Supplementary material 2 from: Ollivier M, Kazakou E, Corbin M, Sartori K, Gooden B, Lesieur V, Thomann T, Martin J-F, Tixier MS (2020) Trait differentiation between native and introduced populations of the invasive plant Sonchus oleraceus L. (Asteraceae). NeoBiota 55: 85-115. https://doi.org/10.3897/neobiota.55.49158
Table S2. Mean (± standard error) values for 20 traits assessed for native (Europe and North Africa) and invasive (Australia and New Zealand) populations of Sonchus oleraceus under standardised conditions
Supplementary material 3 from: Ollivier M, Kazakou E, Corbin M, Sartori K, Gooden B, Lesieur V, Thomann T, Martin J-F, Tixier MS (2020) Trait differentiation between native and introduced populations of the invasive plant Sonchus oleraceus L. (Asteraceae). NeoBiota 55: 85-115. https://doi.org/10.3897/neobiota.55.49158
Table S3. Results of mixed models assessing the effect of range (native: Europe and North Africa, introduced: Australia and New Zealand), population within range being considered as a random factor, for 20 plants traits measured on Sonchus oleraceus under standardised conditions
Untargeted LC–MS metabolomics reveals an adverse effect of high-fat diet on hepatic metabolism of Oreochromis niloticus
<p>Hepatic steatosis commonly occurs in intensively farmed tilapia. This disease is harmful to fish growth and health, but knowledge of the metabolic changes in tilapia with fatty liver is limited. In the present study, we compared genetically improved farmed tilapia (GIFT, <em>Oreochromis niloticus</em>) fed a high-fat diet (HFD) with those fed a normal-fat diet (NFD) for 8 weeks using LC-MS-based hepatic metabolomic assays and traditional nutritional assessments. Juvenile GIFT fed a HFD displayed higher fat disposition in the liver than did those fed a NFD. The metabolomic analyses revealed 61 differentially accumulated metabolites between the groups, and these metabolites were involved in 37 signaling pathways. Our results illustrate the development of metabolic disorders related to various hepatic biological processes, including protein metabolism, lipid metabolism, carbohydrate metabolism, and nucleotide metabolism in HFD-fed GIFT. These physiological changes may be related to the lower growth rate of GIFT. Overall, our study reveals the metabolic disorders in GIFT fed HFD, and enhance our knowledge of the mechanism of fatty liver formation in GIFT.</p>
Data from: Liquid chromatography-mass spectrometry (LC-MS) data of a multi-epitope peptibody with bFGF/VEGFA
<p><span><span><span><span><span><span><span><span><span><span><span>The <span><span><span>protein </span></span></span><span><span><span>primary </span></span></span><span><span><span>structure of the recombinant </span></span></span>Peptibody were investigated systematically by Liquid Chromatography-Mass Spectrometry (LC-MS)<span><span><span>. T</span></span></span><span><span>he 15 amino acids of N-terminal were </span></span>Met-Gln-Lys-Arg-Lys-Arg-Lys-Lys-Ser-Arg-Tyr-Lys-Ser-Gly-Gly and <span><span>the C-terminal was Lys (K</span></span><span><span>), the same as</span></span> the theoretical sequence. <span><span>With more </span></span><a><span class="15"><span>protease</span></span></a><span><span>s, the whole sequence was detected at the coverage of </span></span>trypsin 87.5%, <span><span>c</span></span><span><span>hymotrypsin</span></span> 75.3% and <span><span>Glu-C</span></span> 76.7%<span><span>. The </span></span>peptide-mapping could be used as an valuable standard to certify the complete expression and primary structure of Peptibody. The pI and MW were 8.93 and 37.415 kDa, within the errors allowed . The binding specificity after production were analyzed using anti-VEGFA and anti-His antibodies.</span></span></span></span></span></span></span></span></span></span></span></p>
GC-MS analysis of standard mix for geological biomarkers quantification
<p>Result from GC-MS analysis of standard mix prepared for geological biomarkers quantification.</p>
Data supporting tables and figures in t ms Tidal influence on seismic activity during the 2011-2013 El Hierro volcanic unrest
<p>Introduction</p> <p>This set of files contains data supporting the tables and figures featured in the journal article.<br> <br> File Ts01.xlsx shows data from the earthquake cluster C1 defined in the manuscript, as well as tidal stress phases and amplitudes obtained for each event using the methodology explained in the text. <br> Files Ts02.xlsx, Ts03.xlsx and Ts04.xlsx are datasets analog to File Ts01.xlsx, but using data from clusters C2, C3 and C4 respectively. <br> Data of Files Ts01.xlsx, Ts02.xlsx, Ts03.xlsx and Ts04.xlsx have been used to compose Tables 1, 2, 3, 4, 5, 6 in the manuscript, Figures 3, 5, 8, 9 in the manuscript, <br> plus Figures S9, S10, S11, S12, S13, S14, S15, S16 in the Supporting Information.</p> <p>File Ts05.xlsx features tidal strain calculated for the setting of the shallow magma reservior in Phase 1 of the volcanic crisis, at two-hour intervals, between 2011-07-01 and 2011-10-31. <br> Data from File Ts05.xlsx has been used for composition of Figures 6 and 7 in the manuscript.<br> Files Ts06.xlsx, Ts07.xlsx and Ts08.xlsx are datasets analog to File Ts05.xlsx, but calculating tidal strain for the locations of events belonging to clusters C2, C3 and C4 respectively.<br> Data of Files Ts06.xlsx, Ts07.xlsx and Ts08.xlsx have been used to compose Figures S1, S2, S3, S4, S5, S6 in the Supporting Information. </p> <p>File Ts09.xlsx shows tidal confining stress values corresponding to the events in cluster C1. <br> File Ts10.xlsx features values of tidal stress taken hourly for the location corresponding to an event belonging to subcluster C1A. <br> File Ts11.xlsx features values of tidal stress taken hourly for the location corresponding to an event belonging to subcluster C1B. <br> Figure S7 in the Supporting Information has been produced using data from Files Ts09.xlsx, Ts10.xlsx and Ts11.xlsx. </p> <p>File Ts12.xlsx collects all events in four clusters C1-C4, and shows the amplitudes of the tidal confining stress half cycles in which the events occur, considering only ocean tides or only body tides. <br> These data were used for stating the predominance of ocean tidal loading against body tides in Chapter 5 - Discussion.</p> <p>File Ts13.xlsx shows data from the earthquake cluster C1 defined in the manuscript, as well as tidal stress phases and amplitudes, but considering only those events with M >= 2.<br> Files Ts14.xlsx, Ts15.xlsx and Ts16.xlsx are datasets analog to File Ts13.xlsx, but using data from clusters C2, C3 and C4 (events with M >= 2 only) respectively.<br> Data of Files Ts13.xlsx, Ts14.xlsx, Ts15.xlsx and Ts16.xlsx have been used to compose Table S3 in the Supporting Information.</p> <p>File Ts17.xlsx features the 4 declustered catalogs D1, D2, D3 and D4 which are described in Tables S4 and S5 in the Supporting Information.</p> <p>File Ts18.xlsx collects all events in four clusters C1-C4, and shows the results of tidal tilt (North-South and East-West components). <br> These data were used to compose Figures S27 and S28 in the Supporting Information. </p> <p>File Ts19.xlsx features tidal stress calculated for the setting of the shallow magma reservior in Phase 1 of the volcanic crisis, at two-hour intervals, between 2011-07-01 and 2011-10-31. <br> Data from File Ts19.xlsx has been used for composition of Figure S17 in the manuscript.<br> Files Ts20.xlsx, Ts21.xlsx and Ts22.xlsx are datasets analog to File Ts19.xlsx, but calculating tidal stress for the locations of events belonging to clusters C2, C3 and C4 respectively.<br> Data of Files Ts20.xlsx, Ts21.xlsx and Ts22.xlsx have been used to compose Figures S18, S19 and S20 in the Supporting Information.</p> <p>File Ts23.xlsx shows data from the earthquake cluster C1 defined in the manuscript, as well as tidal stress phases and amplitudes obtained for each event using the methodology explained in the text,<br> but considering only ocean tides in the calculations. <br> Files Ts24.xlsx, Ts25.xlsx and Ts26.xlsx are datasets analog to File Ts23.xlsx, but using data from clusters C2, C3 and C4 respectively. <br> Data of Files Ts01.xlsx, Ts02.xlsx, Ts03.xlsx and Ts04.xlsx have been used to compose Figures S21 and S22 in Supporting Information.</p> <p>File Ts27.xlsx features horizontal tidal stress (Earth tides only) calculated for the setting of the shallow magma reservior in Phase 1 of the volcanic crisis, at two-hour intervals, <br> between 2011-07-01 and 2011-10-31. Data from File Ts27.xlsx has been used for composition of Figure S23 in the manuscript.<br> Files Ts28.xlsx, Ts29.xlsx and Ts30.xlsx are datasets analog to File Ts27.xlsx, but calculating horizontal tidal stress for the locations of events belonging to clusters C2, C3 and C4 respectively.<br> Data of Files Ts28.xlsx, Ts29.xlsx and Ts30.xlsx have been used to compose Figures S24, S25 and S26 in the Supporting Information.</p> <p>1. Ts01.xlsx Data used to detect tidal stress correlations in Phase 1 of the volcanic crisis.</p> <p>1.1 Column "Year", y.<br> 1.2 Column "Month", m.<br> 1.3 Column "Day", d.<br> 1.4 Column "Hour", h.<br> 1.5 Column "Minute", min.<br> 1.6 Column "Second", s.<br> 1.7 Column "Latitude", deg, latitude north of equator.<br> 1.8 Column "Longitude", deg, longitude east of Greenwich.<br> 1.9 Column "Depth", km.<br> 1.10 Column "Phase_east-west_stress", deg, tidal phase angle assigned to the event, calculated for tidal east-west stress.<br> 1.11 Column "Amplitude_east-west_stress", Pa, amplitude of the tidal half cycle in which the event occurs, calculated for tidal east-west stress.<br> 1.12 Column "Phase_north-south_stress", deg, tidal phase angle assigned to the event, calculated for tidal north-south stress.<br> 1.13 Column "Amplitude_north-south_stress", Pa, amplitude of the tidal half cycle in which the event occurs, calculated for tidal north-south stress.<br> 1.14 Column "Phase_vertical_stress", deg, tidal phase angle assigned to the event, calculated for tidal vertical stress.<br> 1.15 Column "Amplitude_vertical_stress", Pa, amplitude of the tidal half cycle in which the event occurs, calculated for tidal vertical stress.<br> 1.16 Column "Phase_confining_stress", deg, tidal phase angle assigned to the event, calculated for tidal confining stress.<br> 1.17 Column "Amplitude_confining_stress", Pa, amplitude of the tidal half cycle in which the event occurs, calculated for tidal confining stress.<br> 1.18 Column "Phase_confining_stress_rate", deg, tidal phase angle assigned to the event, calculated for tidal confining stress rate.<br> 1.19 Column "Amplitude_confining_stress_rate", Pa/h, amplitude of the tidal half cycle in which the event occurs, calculated for tidal confining stress rate.<br> 1.20 Column "Magnitude", earthquake magnitude.<br> 1.21 Column "Autonum", autonumeric code.</p> <p>2. Ts02.xlsx Data used to detect tidal stress correlations in Phase 2 of the volcanic crisis.</p> <p>2.1 Column "Year", y.<br> 2.2 Column "Month", m.<br> 2.3 Column "Day", d.<br> 2.4 Column "Hour", h.<br> 2.5 Column "Minute", min.<br> 2.6 Column "Second", s.<br> 2.7 Column "Latitude", deg, latitude north of equator.<br> 2.8 Column "Longitude", deg, longitude east of Greenwich.<br> 2.9 Column "Depth", km.<br> 2.10 Column "Phase_east-west_stress", deg, tidal phase angle assigned to the event, calculated for tidal east-west stress.<br> 2.11 Column "Amplitude_east-west_stress", Pa, amplitude of the tidal half cycle in which the event occurs, calculated for tidal east-west stress.<br> 2.12 Column "Phase_north-south_stress", deg, tidal phase angle assigned to the event, calculated for tidal north-south stress.<br> 2.13 Column "Amplitude_north-south_stress", Pa, amplitude of the tidal half cycle in which the event occurs, calculated for tidal north-south stress.<br> 2.14 Column "Phase_vertical_stress", deg, tidal phase angle assigned to the event, calculated for tidal vertical stress.<br> 2.15 Column "Amplitude_vertical_stress", Pa, amplitude of the tidal half cycle in which the event occurs, calculated for tidal vertical stress.<br> 2.16 Column "Phase_confining_stress", deg, tidal phase angle assigned to the event, calculated for tidal confining stress.<br> 2.17 Column "Amplitude_confining_stress", Pa, amplitude of the tidal half cycle in which the event occurs, calculated for tidal confining stress.<br> 2.18 Column "Phase_confining_stress_rate", deg, tidal phase angle assigned to the event, calculated for tidal confining stress rate.<br> 2.19 Column "Amplitude_confining_stress_rate", Pa/h, amplitude of the tidal half cycle in which the event occurs, calculated for tidal confining stress rate.<br> 2.20 Column "Magnitude", earthquake magnitude.<br> 2.21 Column "Autonum", autonumeric code.</p> <p>3. Ts03.xlsx Data used to detect tidal stress correlations in Phase 3 of the volcanic crisis.</p> <p>3.1 Column "Year", y.<br> 3.2 Column "Month", m.<br> 3.3 Column "Day", d.<br> 3.4 Column "Hour", h.<br> 3.5 Column "Minute", min.<br> 3.6 Column "Second", s.<br> 3.7 Column "Latitude", deg, latitude north of equator.<br> 3.8 Column "Longitude", deg, longitude east of Greenwich.<br> 3.9 Column "Depth", km.<br> 3.10 Column "Phase_east-west_stress", deg, tidal phase angle assigned to the event, calculated for tidal east-west stress.<br> 3.11 Column "Amplitude_east-west_stress", Pa, amplitude of the tidal half cycle in which the event occurs, calculated for tidal east-west stress.<br> 3.12 Column "Phase_north-south_stress", deg, tidal phase angle assigned to the event, calculated for tidal north-south stress.<br> 3.13 Column "Amplitude_north-south_stress", Pa, amplitude of the tidal half cycle in which the event occurs, calculated for tidal north-south stress.<br> 3.14 Column "Phase_vertical_stress", deg, tidal phase angle assigned to the event, calculated for tidal vertical stress.<br> 3.15 Column "Amplitude_vertical_stress", Pa, amplitude of the tidal half cycle in which the event occurs, calculated for tidal vertical stress.<br> 3.16 Column "Phase_confining_stress", deg, tidal phase angle assigned to the event, calculated for tidal confining stress.<br> 3.17 Column "Amplitude_confining_stress", Pa, amplitude of the tidal half cycle in which the event occurs, calculated for tidal confining stress.<br> 3.18 Column "Phase_confining_stress_rate", deg, tidal phase angle assigned to the event, calculated for tidal confining stress rate.<br> 3.19 Column "Amplitude_confining_stress_rate", Pa/h, amplitude of the tidal half cycle in which the event occurs, calculated for tidal confining stress rate.<br> 3.20 Column "Magnitude", earthquake magnitude.<br> 3.21 Column "Autonum", autonumeric code.</p> <p>4. Ts04.xlsx Data used to detect tidal stress correlations in Phase 4 of the volcanic crisis.</p> <p>4.1 Column "Year", y.<br> 4.2 Column "Month", m.<br> 4.3 Column "Day", d.<br> 4.4 Column "Hour", h.<br> 4.5 Column "Minute", min.<br> 4.6 Column "Second", s.<br> 4.7 Column "Latitude", deg, latitude north of equator.<br> 4.8 Column "Longitude", deg, longitude east of Greenwich.<br> 4.9 Column "Depth", km.<br> 4.10 Column "Phase_east-west_stress", deg, tidal phase angle assigned to the event, calculated for tidal east-west stress.<br> 4.11 Column "Amplitude_east-west_stress", Pa, amplitude of the tidal half cycle in which the event occurs, calculated for tidal east-west stress.<br> 4.12 Column "Phase_north-south_stress", deg, tidal phase angle assigned to the event, calculated for tidal north-south stress.<br> 4.13 Column "Amplitude_north-south_stress", Pa, amplitude of the tidal half cycle in which the event occurs, calculated for tidal north-south stress.<br> 4.14 Column "Phase_vertical_stress", deg, tidal phase angle assigned to the event, calculated for tidal vertical stress.<br> 4.15 Column "Amplitude_vertical_stress", Pa, amplitude of the tidal half cycle in which the event occurs, calculated for tidal vertical stress.<br> 4.16 Column "Phase_confining_stress", deg, tidal phase angle assigned to the event, calculated for tidal confining stress.<br> 4.17 Column "Amplitude_confining_stress", Pa, amplitude of the tidal half cycle in which the event occurs, calculated for tidal confining stress.<br> 4.18 Column "Phase_confining_stress_rate", deg, tidal phase angle assigned to the event, calculated for tidal confining stress rate.<br> 4.19 Column "Amplitude_confining_stress_rate", Pa/h, amplitude of the tidal half cycle in which the event occurs, calculated for tidal confining stress rate.<br> 4.20 Column "Magnitude", earthquake magnitude.<br> 4.21 Column "Autonum", autonumeric code.</p> <p>5. Ts05.xlsx Tidal strain calculated for the shallow magma reservior between 2011-07-01 and 2011-10-31.</p> <p>5.1 Column "Latitude", deg, latitude north of equator.<br> 5.2 Column "Longitude", deg, longitude east of Greenwich.<br> 5.3 Column "Depth", km.<br> 5.4 Column "Date", date in format yyyymmdd.<br> 5.5 Column "Time", time in format hour : minute : second.<br> 5.6 Column "Volume strain", nanostrain, tidal volume strain.<br> 5.7 Column "East-West strain", nanostrain, tidal East-West strain.<br> 5.8 Column "North-South strain", nanostrain, tidal North-South strain.<br> 5.9 Column "Vertical strain", nanostrain, tidal Vertical strain.</p> <p>6. Ts06. Tidal strain calculated for the location of an event belonging to cluster C2.</p> <p>6.1 Column "Latitude", deg, latitude north of equator.<br> 6.2 Column "Longitude", deg, longitude east of Greenwich.<br> 6.3 Column "Depth", km.<br> 6.4 Column "Date", date in format yyyymmdd.<br> 6.5 Column "Time", time in format hour : minute : second.<br> 6.6 Column "Volume strain", nanostrain, tidal volume strain.<br> 6.7 Column "East-West strain", nanostrain, tidal East-West strain.<br> 6.8 Column "North-South strain", nanostrain, tidal North-South strain.<br> 6.9 Column "Vertical strain", nanostrain, tidal Vertical strain.</p> <p>7. Ts07. Tidal strain calculated for the location of an event belonging to cluster C3.</p> <p>7.1 Column "Latitude", deg, latitude north of equator.<br> 7.2 Column "Longitude", deg, longitude east of Greenwich.<br> 7.3 Column "Depth", km.<br> 7.4 Column "Date", date in format yyyymmdd.<br> 7.5 Column "Time", time in format hour : minute : second.<br> 7.6 Column "Volume strain", nanostrain, tidal volume strain.<br> 7.7 Column "East-West strain", nanostrain, tidal East-West strain.<br> 7.8 Column "North-South strain", nanostrain, tidal North-South strain.<br> 7.9 Column "Vertical strain", nanostrain, tidal Vertical strain.</p> <p>8. Ts08. Tidal strain calculated for the location of an event belonging to cluster C4.</p> <p>8.1 Column "Latitude", deg, latitude north of equator.<br> 8.2 Column "Longitude", deg, longitude east of Greenwich.<br> 8.3 Column "Depth", km.<br> 8.4 Column "Date", date in format yyyymmdd.<br> 8.5 Column "Time", time in format hour : minute : second.<br> 8.6 Column "Volume strain", nanostrain, tidal volume strain.<br> 8.7 Column "East-West strain", nanostrain, tidal East-West strain.<br> 8.8 Column "North-South strain", nanostrain, tidal North-South strain.<br> 8.9 Column "Vertical strain", nanostrain, tidal Vertical strain.</p> <p>9. File Ts09.xlsx Tidal confining stress values corresponding to the events in cluster C1.</p> <p>9.1 Column "Latitude", deg, latitude north of equator.<br> 9.2 Column "Longitude", deg, longitude east of Greenwich.<br> 9.3 Column "Depth", km.<br> 9.4 Column "Date", date in format yyyymmdd.<br> 9.5 Column "Time", time in format hour : minute : second.<br> 9.6 Column "Tides", Pa, tidal confining stress.</p> <p>10. Ts10.xlsx Hourly values of tidal confining stress obtained for the location of an earthquake belonging to subcluster C1A.</p> <p>10.1 Column "Year", y.<br> 10.2 Column "Month", m.<br> 10.3 Column "Day", d.<br> 10.4 Column "Hour", h.<br> 10.5 Column "Minute", min.<br> 10.6 Column "Second", s.<br> 10.7 Column "Latitude", deg, latitude north of equator.<br> 10.8 Column "Longitude", deg, longitude east of Greenwich.<br> 10.9 Column "Depth", m.<br> 10.10 Column "Tides", Pa, tidal confining stress.</p> <p>11. Ts11.xlsx Hourly values of tidal confining stress obtained for the location of an earthquake belonging to subcluster C1B.</p> <p>11.1 Column "Year", y.<br> 11.2 Column "Month", m.<br> 11.3 Column "Day", d.<br> 11.4 Column "Hour", h.<br> 11.5 Column "Minute", min.<br> 11.6 Column "Second", s.<br> 11.7 Column "Latitude", deg, latitude north of equator.<br> 11.8 Column "Longitude", deg, longitude east of Greenwich.<br> 11.9 Column "Depth", m.<br> 11.10 Column "Tides", Pa, tidal confining stress.</p> <p>12. Ts12.xlsx Data used to compare ocean tides to body tides</p> <p>12.1 Column "Cluster", number of the cluster (C1-C4).<br> 12.2 Column "Year", y.<br> 12.3 Column "Month", m.<br> 12.4 Column "Day", d.<br> 12.5 Column "Hour", h.<br> 12.6 Column "Minute", min.<br> 12.7 Column "Second", s.<br> 12.8 Column "Latitude", deg, latitude north of equator.<br> 12.9 Column "Longitude", deg, longitude east of Greenwich.<br> 12.10 Column "Depth", km.<br> 12.11 Column "Autonum", autonumeric code.<br> 12.12 Column "Ampl_ocean_hc", Pa, amplitude of the tidal half cycle in which the event occurs, calculated for tidal confining stress, ocean tides only.<br> 12.13 Column "Ampl_body_hc", Pa, amplitude of the tidal half cycle in which the event occurs, calculated for tidal confining stress, body tides only.</p> <p>13. Ts13.xlsx Data in Cluster C1 with M>=2</p> <p>13.1 Column "Year", y.<br> 13.2 Column "Month", m.<br> 13.3 Column "Day", d.<br> 13.4 Column "Hour", h.<br> 13.5 Column "Minute", min.<br> 13.6 Column "Second", s.<br> 13.7 Column "Latitude", deg, latitude north of equator.<br> 13.8 Column "Longitude", deg, longitude east of Greenwich.<br> 13.9 Column "Depth", km.<br> 13.10 Column "Phase_confining_stress", deg, tidal phase angle assigned to the event, calculated for tidal confining stress.<br> 13.11 Column "Amplitude_confining_stress", Pa, amplitude of the tidal half cycle in which the event occurs, calculated for tidal confining stress.<br> 13.12 Column "Magnitude", earthquake magnitude.<br> 13.13 Column "Autonum", autonumeric code.</p> <p>14. Ts14.xlsx Data in Cluster C2 with M>=2</p> <p>14.1 Column "Year", y.<br> 14.2 Column "Month", m.<br> 14.3 Column "Day", d.<br> 14.4 Column "Hour", h.<br> 14.5 Column "Minute", min.<br> 14.6 Column "Second", s.<br> 14.7 Column "Latitude", deg, latitude north of equator.<br> 14.8 Column "Longitude", deg, longitude east of Greenwich.<br> 14.9 Column "Depth", km.<br> 14.10 Column "Phase_confining_stress", deg, tidal phase angle assigned to the event, calculated for tidal confining stress.<br> 14.11 Column "Amplitude_confining_stress", Pa, amplitude of the tidal half cycle in which the event occurs, calculated for tidal confining stress.<br> 14.12 Column "Magnitude", earthquake magnitude.<br> 14.13 Column "Autonum", autonumeric code.</p> <p>15. Ts15.xlsx Data in Cluster C3 with M>=2</p> <p>15.1 Column "Year", y.<br> 15.2 Column "Month", m.<br> 15.3 Column "Day", d.<br> 15.4 Column "Hour", h.<br> 15.5 Column "Minute", min.<br> 15.6 Column "Second", s.<br> 15.7 Column "Latitude", deg, latitude north of equator.<br> 15.8 Column "Longitude", deg, longitude east of Greenwich.<br> 15.9 Column "Depth", km.<br> 15.10 Column "Phase_confining_stress", deg, tidal phase angle assigned to the event, calculated for tidal confining stress.<br> 15.11 Column "Amplitude_confining_stress", Pa, amplitude of the tidal half cycle in which the event occurs, calculated for tidal confining stress.<br> 15.12 Column "Magnitude", earthquake magnitude.<br> 15.13 Column "Autonum", autonumeric code.</p> <p>16. Ts16.xlsx Data in Cluster C4 with M>=2</p> <p>16.1 Column "Year", y.<br> 16.2 Column "Month", m.<br> 16.3 Column "Day", d.<br> 16.4 Column "Hour", h.<br> 16.5 Column "Minute", min.<br> 16.6 Column "Second", s.<br> 16.7 Column "Latitude", deg, latitude north of equator.<br> 16.8 Column "Longitude", deg, longitude east of Greenwich.<br> 16.9 Column "Depth", km.<br> 16.10 Column "Phase_confining_stress", deg, tidal phase angle assigned to the event, calculated for tidal confining stress.<br> 16.11 Column "Amplitude_confining_stress", Pa, amplitude of the tidal half cycle in which the event occurs, calculated for tidal confining stress.<br> 16.12 Column "Magnitude", earthquake magnitude.<br> 16.13 Column "Autonum", autonumeric code.</p> <p>17. Ts17.xlsx Declustered datasets D1, D2, D3 and D4</p> <p>17.1 Column "Dataset", number of the declustered dataset (D1-D4).<br> 17.2 Column "Year", y.<br> 17.3 Column "Month", m.<br> 17.4 Column "Day", d.<br> 17.5 Column "Latitude", deg, latitude north of equator.<br> 17.6 Column "Longitude", deg, longitude east of Greenwich.<br> 17.7 Column "Magnitude", earthquake magnitude.<br> 17.8 Column "Depth", km.<br> 17.9 Column "Cluster". It takes the value "+" if the event does not belong to any cluster identified during the declustering process. <br> Otherwise, the event is the largest in a cluster identified by the code shown in Table S4 in Supporting Information. </p> <p><br> 18. Ts18.xlsx Data used to detect tidal tilt correlations</p> <p>18.1 Column "Cluster", number of the cluster (C1-C4).<br> 18.2 Column "Year", y.<br> 18.3 Column "Month", m.<br> 18.4 Column "Day", d.<br> 18.5 Column "Hour", h.<br> 18.6 Column "Minute", min.<br> 18.7 Column "Second", s.<br> 18.8 Column "Latitude", deg, latitude north of equator.<br> 18.9 Column "Longitude", deg, longitude east of Greenwich.<br> 18.10 Column "Depth", km.<br> 18.11 Column "Autonum", autonumeric code.<br> 18.12 Column "Phase_tilt_NS", deg, tidal phase angle assigned to the event, calculated for tidal tilt (North-South component).<br> 18.13 Column "Ampl_tilt_NS", nrad, amplitude of the tidal half cycle in which the event occurs, calculated for tidal tilt (North-South component).<br> 18.14 Column "Phase_tilt_EW", deg, tidal phase angle assigned to the event, calculated for tidal tilt (East-West component).<br> 18.15 Column "Ampl_tilt_NS", nrad, amplitude of the tidal half cycle in which the event occurs, calculated for tidal tilt (East-West component).</p> <p>19. Ts19.xlsx Tidal stress calculated for the shallow magma reservior between 2011-07-01 and 2011-10-31.</p> <p>19.1 Column "Latitude", deg, latitude north of equator.<br> 19.2 Column "Longitude", deg, longitude east of Greenwich.<br> 19.3 Column "Depth", km.<br> 19.4 Column "Date", date in format yyyymmdd.<br> 19.5 Column "Time", time in format hour : minute : second.<br> 19.6 Column "East-West stress", Pa, tidal East-West stress.<br> 19.7 Column "North-South stress", Pa, tidal North-South stress.<br> 19.8 Column "Vertical stress", Pa, tidal Vertical stress.</p> <p>20. Ts20.xlsx Tidal stress calculated for the location of an event belonging to cluster C2.</p> <p>20.1 Column "Latitude", deg, latitude north of equator.<br> 20.2 Column "Longitude", deg, longitude east of Greenwich.<br> 20.3 Column "Depth", km.<br> 20.4 Column "Date", date in format yyyymmdd.<br> 20.5 Column "Time", time in format hour : minute : second.<br> 20.6 Column "East-West stress", Pa, tidal East-West stress.<br> 20.7 Column "North-South stress", Pa, tidal North-South stress.<br> 20.8 Column "Vertical stress", Pa, tidal Vertical stress.</p> <p>21. Ts21.xlsx Tidal stress calculated for the location of an event belonging to cluster C3.</p> <p>21.1 Column "Latitude", deg, latitude north of equator.<br> 21.2 Column "Longitude", deg, longitude east of Greenwich.<br> 21.3 Column "Depth", km.<br> 21.4 Column "Date", date in format yyyymmdd.<br> 21.5 Column "Time", time in format hour : minute : second.<br> 21.6 Column "East-West stress", Pa, tidal East-West stress.<br> 21.7 Column "North-South stress", Pa, tidal North-South stress.<br> 21.8 Column "Vertical stress", Pa, tidal Vertical stress.</p> <p>22. Ts22.xlsx Tidal stress calculated for the location of an event belonging to cluster C4.</p> <p>22.1 Column "Latitude", deg, latitude north of equator.<br> 22.2 Column "Longitude", deg, longitude east of Greenwich.<br> 22.3 Column "Depth", km.<br> 22.4 Column "Date", date in format yyyymmdd.<br> 22.5 Column "Time", time in format hour : minute : second.<br> 22.6 Column "East-West stress", Pa, tidal East-West stress.<br> 22.7 Column "North-South stress", Pa, tidal North-South stress.<br> 22.8 Column "Vertical stress", Pa, tidal Vertical stress.</p> <p>23. Ts23.xlsx Data used to detect tidal stress correlations in Phase 1 of the volcanic crisis (ocean tides only).</p> <p>23.1 Column "Year", y.<br> 23.2 Column "Month", m.<br> 23.3 Column "Day", d.<br> 23.4 Column "Hour", h.<br> 23.5 Column "Minute", min.<br> 23.6 Column "Second", s.<br> 23.7 Column "Latitude", deg, latitude north of equator.<br> 23.8 Column "Longitude", deg, longitude east of Greenwich.<br> 23.9 Column "Depth", km.<br> 23.10 Column "Phase_ocean_confining_stress", deg, tidal phase angle assigned to the event, calculated for tidal confining stress.<br> 23.11 Column "Amplitude_ocean_confining_stress", Pa, amplitude of the tidal half cycle in which the event occurs, calculated for tidal confining stress.<br> 23.12 Column "Magnitude", earthquake magnitude.<br> 23.13 Column "Autonum", autonumeric code.</p> <p>24. Ts24.xlsx Data used to detect tidal stress correlations in Phase 2 of the volcanic crisis (ocean tides only).</p> <p>24.1 Column "Year", y.<br> 24.2 Column "Month", m.<br> 24.3 Column "Day", d.<br> 24.4 Column "Hour", h.<br> 24.5 Column "Minute", min.<br> 24.6 Column "Second", s.<br> 24.7 Column "Latitude", deg, latitude north of equator.<br> 24.8 Column "Longitude", deg, longitude east of Greenwich.<br> 24.9 Column "Depth", km.<br> 24.10 Column "Phase_ocean_confining_stress", deg, tidal phase angle assigned to the event, calculated for tidal confining stress.<br> 24.11 Column "Amplitude_ocean_confining_stress", Pa, amplitude of the tidal half cycle in which the event occurs, calculated for tidal confining stress.<br> 24.12 Column "Magnitude", earthquake magnitude.<br> 24.13 Column "Autonum", autonumeric code.</p> <p>25. Ts25.xlsx Data used to detect tidal stress correlations in Phase 3 of the volcanic crisis (ocean tides only).</p> <p>25.1 Column "Year", y.<br> 25.2 Column "Month", m.<br> 25.3 Column "Day", d.<br> 25.4 Column "Hour", h.<br> 25.5 Column "Minute", min.<br> 25.6 Column "Second", s.<br> 25.7 Column "Latitude", deg, latitude north of equator.<br> 25.8 Column "Longitude", deg, longitude east of Greenwich.<br> 25.9 Column "Depth", km.<br> 25.10 Column "Phase_ocean_confining_stress", deg, tidal phase angle assigned to the event, calculated for tidal confining stress.<br> 25.11 Column "Amplitude_ocean_confining_stress", Pa, amplitude of the tidal half cycle in which the event occurs, calculated for tidal confining stress.<br> 25.12 Column "Magnitude", earthquake magnitude.<br> 25.13 Column "Autonum", autonumeric code.</p> <p>26. Ts26.xlsx Data used to detect tidal stress correlations in Phase 4 of the volcanic crisis (ocean tides only).</p> <p>26.1 Column "Year", y.<br> 26.2 Column "Month", m.<br> 26.3 Column "Day", d.<br> 26.4 Column "Hour", h.<br> 26.5 Column "Minute", min.<br> 26.6 Column "Second", s.<br> 26.7 Column "Latitude", deg, latitude north of equator.<br> 26.8 Column "Longitude", deg, longitude east of Greenwich.<br> 26.9 Column "Depth", km.<br> 26.10 Column "Phase_ocean_confining_stress", deg, tidal phase angle assigned to the event, calculated for tidal confining stress.<br> 26.11 Column "Amplitude_ocean_confining_stress", Pa, amplitude of the tidal half cycle in which the event occurs, calculated for tidal confining stress.<br> 26.12 Column "Magnitude", earthquake magnitude.<br> 26.13 Column "Autonum", autonumeric code.</p> <p>27. Ts27.xlsx Horizontal tidal stress (Earth tides only) calculated for the shallow magma reservior between 2011-07-01 and 2011-10-31.</p> <p>27.1 Column "Latitude", deg, latitude north of equator.<br> 27.2 Column "Longitude", deg, longitude east of Greenwich.<br> 27.3 Column "Depth", km.<br> 27.4 Column "Date", date in format yyyymmdd.<br> 27.5 Column "Time", time in format hour : minute : second.<br> 27.6 Column "Horizontal stress", Pa, tidal Horizontal stress.</p> <p>28. Ts28.xlsx Horizontal tidal stress (Earth tides only) calculated for the location of an event belonging to cluster C2.</p> <p>28.1 Column "Latitude", deg, latitude north of equator.<br> 28.2 Column "Longitude", deg, longitude east of Greenwich.<br> 28.3 Column "Depth", km.<br> 28.4 Column "Date", date in format yyyymmdd.<br> 28.5 Column "Time", time in format hour : minute : second.<br> 28.6 Column "Horizontal stress", Pa, tidal Horizontal stress.</p> <p>29. Ts29.xlsx Horizontal tidal stress (Earth tides only) calculated for the location of an event belonging to cluster C3.</p> <p>29.1 Column "Latitude", deg, latitude north of equator.<br> 29.2 Column "Longitude", deg, longitude east of Greenwich.<br> 29.3 Column "Depth", km.<br> 29.4 Column "Date", date in format yyyymmdd.<br> 29.5 Column "Time", time in format hour : minute : second.<br> 29.6 Column "Horizontal stress", Pa, tidal Horizontal stress.</p> <p>30. Ts30.xlsx Horizontal tidal stress (Earth tides only) calculated for the location of an event belonging to cluster C4.</p> <p>30.1 Column "Latitude", deg, latitude north of equator.<br> 30.2 Column "Longitude", deg, longitude east of Greenwich.<br> 30.3 Column "Depth", km.<br> 30.4 Column "Date", date in format yyyymmdd.<br> 30.5 Column "Time", time in format hour : minute : second.<br> 30.6 Column "Horizontal stress", Pa, tidal Horizontal stress.</p>
Supplementary material 1 from: Wisitrassameewong K, Park MS, Lee H, Ghosh A, Das K, Buyck B, Looney BP, Caboň M, Adamčík S, Kim C, Kim CS, Lim YW (2020) Taxonomic revision of Russula subsection Amoeninae from South Korea. MycoKeys 75: 1-29. https://doi.org/10.3897/mycokeys.75.53673
Table S1. List of validly published names classified in R. subsect. Amoeninae and allied species around the world
Supplementary material 1 from: Mohagan AB, Patano Jr. RR, Acola MS, Amper DO, Coritico FP, Amoroso VB (2020) Presence of the four-spined pygmy devil, Arulenus validispinus (Orthoptera: Tetrigidae), confirmed in Bukidnon region on the island of Mindanao, Philippines. Journal of Orthoptera Research 29(2): 133-136. https://doi.org/10.3897/jor.29.53718
Supplementary material 1 from: Mohagan AB, Patano Jr. RR, Acola MS, Amper DO, Coritico FP, Amoroso VB (2020) Presence of the four-spined pygmy devil, Arulenus validispinus (Orthoptera: Tetrigidae), confirmed in Bukidnon region on the island of Mindanao, Philippines. Journal of Orthoptera Research 29(2): 133-136. https://doi.org/10.3897/jor.29.53718
Supplementary material 1 from: Caterino MS, Tishechkin AK (2020) Recognition and revision of the Phelister blairi group (Histeridae, Histerinae, Exosternini). ZooKeys 1001: 1-154. https://doi.org/10.3897/zookeys.1001.58447
Table S1. Taxa selected for the phylogenetic reanalysis performed in this paper, along with what data partitions were available and included
LA-ICP-MS data of the Chongce ice core
<p>LA-ICP-MS data of the Chongce ice core</p>
Femtosecond-LA-ICP-MS analysis recording variation in trace elements in Amphistegina lessonii from Akajima, Okinawa Prefecture, Japan
<p>The data set comprises of sea surface temperatures, salinity which were recorded from Akajima Island, Okinawa Prefecture, Japan during the year 2003 and 2004. The tidal heights data was generated using the software Tide Predictor for the Akajima Island. The Element/Ca analysis of larger benthic foraminifera <em>Amphistegina lessonii</em> was carried out by using Femto-second Laser Ablation Inductively Coupled Plasma-Mass Spectrometer (fs-LA-ICP-MS) technique at the Department of Climate Geochemistry, Max Planck Institute for Chemistry. The co-variation and correlation plots of Element/Ca with tidal heights, sea surface temperature and sea surface salinity are also provided.</p>
Proton-transfer-reaction time-of-flight mass spectrometry (PTR-TOF-MS) as a tool for studying animal volatile organic compound (VOC) emissions
<p>1. Chemical sensing in vertebrates is crucial in their lives, and efforts are undertaken towards deciphering their chemical language. Volatile organic compounds (VOCs) is a group of chemicals believed to play an essential role in a wide variety of animal interactions. Therefore, understanding what animals sense themselves and untangling the ecological role of their volatile cues can be accomplished by analysing VOC emissions. A Proton-Transfer Reaction Time-of-Flight Mass Spectrometer (PTR-TOF-MS) is an instrument that measures VOCs in real-time in an air sample. Since this technique acts as a hyper-sensitive 'nose' it has a similar potential in deciphering the chemical language of vertebrates.</p> <p>2. Here, we validate the use of PTR-TOF-MS as a tool to measure VOCs from vertebrates, which in turn will help resolve vertebrate interactions through VOCs. The instrument monitors and records the full spectrum of VOCs emitted by an individual with a high accuracy and low detection limit, including transient VOC emissions. We propose and test diverse measuring configurations that allow for measurement of VOC emissions from different vertebrates and their exudates: full body, specific parts of the body, urine and femoral pores. In addition, we test configurations for sudden and short-lasting processes as VOCs emitted during adder skin shedding as well as the emissions of skin secretions upon mechanical and physiological stimulation in amphibia. Our configurations work in tandem with Gas Chromatography Mass Spectrometry (GC-MS) to allow compound structure verification.</p> <p>3. We discuss the configurations and methodologies used and conclude with recommendations for further studies, such as the choice of chamber size and flow. We also report the results of the measurements on vertebrates —that are novel to science— and discuss their ecological meaning.</p> <p>4. We argue that PTR-TOF-MS has a high potential to resolve important unanswered questions in vertebrate chemical ecology with great adaptability to a wide range of experimental setups. If combined with a structure verification tool, such as GC-MS, the creative deployment of PTR-TOF-MS in various future study designs will lead to the identification of ecologically relevant VOCs.</p>
Data from: Revealing higher than expected diversity of Harpacticoida (Crustacea:Copepoda) in the North Sea using MALDI-TOF MS and molecular barcoding
The North Sea is one of the most extensively studied marine regions of the world. Hence, large amounts of molecular data for species identification are available in public repositories, and expectations to find numerous new species in this well-known region are rather low. However, molecular reference data for harpacticoid copepods from this area in particular but also for this group in general is scarce. By assessing COI barcodes and MALDI-TOF mass spectra for this group of small crustaceans, it was discovered that there is a huge unknown diversity in this area. In total, COI sequences for 548 specimens from 115 species of harpacticoid copepods are presented. Over 19% of these were new to science and ten MOTUs were found to be part of cryptic species complexes. MALDI-TOF mass spectra were assessed for 622 specimens from 75 species. Because results were in concordance with species delimitation by COI barcoding and also enabled recognition of possible cryptic species, the discriminative power of this technique for biodiversity assessments is highlighted. Findings imply, species diversity in this group may be largely underestimated and total species number can be expected to be much higher than previously assumed.
Data from: Validation of an algorithm for identifying MS cases in administrative health claims datasets
Objective: To develop a valid algorithm for identifying multiple sclerosis (MS) cases in administrative health claims (AHC) datasets. Methods: We used 4 AHC datasets from the Veterans Administration (VA), Kaiser Permanente Southern California (KPSC), Manitoba (Canada), and Saskatchewan (Canada). In the VA, KPSC, and Manitoba, we tested the performance of candidate algorithms based on inpatient, outpatient, and disease-modifying therapy (DMT) claims compared to medical records review using sensitivity, specificity, positive and negative predictive values, and interrater reliability (Youden J statistic) both overall and stratified by sex and age. In Saskatchewan, we tested the algorithms in a cohort randomly selected from the general population. Results: The preferred algorithm required ≥3 MS-related claims from any combination of inpatient, outpatient, or DMT claims within a 1-year time period; a 2-year time period provided little gain in performance. Algorithms including DMT claims performed better than those that did not. Sensitivity (86.6%–96.0%), specificity (66.7%–99.0%), positive predictive value (95.4%–99.0%), and interrater reliability (Youden J = 0.60–0.92) were generally stable across datasets and across strata. Some variation in performance in the stratified analyses was observed but largely reflected changes in the composition of the strata. In Saskatchewan, the preferred algorithm had a sensitivity of 96%, specificity of 99%, positive predictive value of 99%, and negative predictive value of 96%. Conclusions: The performance of each algorithm was remarkably consistent across datasets. The preferred algorithm required ≥3 MS-related claims from any combination of inpatient, outpatient, or DMT use within 1 year. We recommend this algorithm as the standard AHC case definition for MS.
Data from: Novel insights into relationships between egg corticosterone and timing of breeding revealed by LC-MS/MS
Inter- and intra-clutch variation in egg corticosterone (CORT), the major glucocorticoid in birds, may provide insights into how maternal stress levels vary with the timing of breeding and with laying order. Common analytical methods (e.g. immunoassays), however, suffer from cross-reaction with other steroids, leading to potential overestimation of CORT concentrations which can obscure true hormone–environment relationships and complicate among-study comparisons. We here apply a new LC-MS/MS technique, which has recently been shown to avoid the problem of cross-reactivity due to its high specificity, to quantify CORT concentrations in yolk and albumen in clutches of lesser black-backed gulls Larus fuscus. We found that CORT concentration exhibited a previously unreported U-shaped relationship with time of breeding, which we explain as a potential interplay of two forces exerting extra strain on the early and late breeders. Furthermore, results showed an increase in CORT with laying order indicating the energetic expense of egg production. The levels of CORT assessed in this study were significantly lower than those previously reported in studies using immunoassays for CORT analysis. This supports the fact that incorporating chromatography effectively reduces overestimation of CORT due to cross-reactivity with other steroid hormones, particularly in egg yolk.
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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.
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
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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.