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594 results for “REACH”
Nonhuman Primate Reaching with Multichannel Sensorimotor Cortex Electrophysiology: broadband for indy_20160630_01
<p>This dataset supplements <a href="https://doi.org/10.5281/zenodo.583331">https://doi.org/10.5281/zenodo.583331</a> .<br> <br> <strong>General description.</strong> These data consist of extracellular neural recordings ("broadband") from primate subject "Indy", session identifier "indy_20160630_01".</p> <p><strong>Filtering. </strong>The data are sampled at 24414.0625 Hz and are unfiltered, except for an anti-aliasing filter built-in to the recording amplifier: a 4th order low-pass with a roll-off of 24 dB per octave at 7.5 kHz, operating at the sampling rate.</p> <p><strong>File format.</strong> The data are contained in an HDF5 formatted file, organized according to the <a href="https://github.com/NeurodataWithoutBorders/specification">Neurodata Without Borders (NWB) version 1.0.6</a> specification.</p> <p><strong>Datasets. </strong>A few of the relevant dataset paths are listed here for convenience. In the below, <em>n</em> refers to the number of recording channels and <em>k</em> refers to the number of samples.</p> <ul> <li>"/acquisition/timeseries/broadband/data" - k x n <ul> <li>The broadband neural recordings.</li> </ul> </li> <li>"/acquisition/timeseries/broadband/data/conversion" (scalar attribute) <ul> <li>When multiplied by each sample converts the data into units of volts.</li> </ul> </li> <li>"/acquisition/timeseries/broadband/timestamps" - k x 1 <ul> <li>Timestamps for each sample, seconds.</li> </ul> </li> <li>"/general/extracellular_ephys/electrode_map" - n x 3 <ul> <li>The relative coordinates of each electrode contact (x, y, z), meters.</li> </ul> </li> </ul> <p>Please refer to the <a href="https://doi.org/10.5281/zenodo.583331">master dataset</a> for further information.</p>
Nonhuman Primate Reaching with Multichannel Sensorimotor Cortex Electrophysiology: broadband for indy_20160627_01
<p>This dataset supplements <a href="https://doi.org/10.5281/zenodo.583331">https://doi.org/10.5281/zenodo.583331</a> .<br> <br> <strong>General description.</strong> These data consist of extracellular neural recordings ("broadband") from primate subject "Indy", session identifier "indy_20160627_01".</p> <p><strong>Filtering. </strong>The data are sampled at 24414.0625 Hz and are unfiltered, except for an anti-aliasing filter built-in to the recording amplifier: a 4th order low-pass with a roll-off of 24 dB per octave at 7.5 kHz, operating at the sampling rate.</p> <p><strong>File format.</strong> The data are contained in an HDF5 formatted file, organized according to the <a href="https://github.com/NeurodataWithoutBorders/specification">Neurodata Without Borders (NWB) version 1.0.6</a> specification.</p> <p><strong>Datasets. </strong>A few of the relevant dataset paths are listed here for convenience. In the below, <em>n</em> refers to the number of recording channels and <em>k</em> refers to the number of samples.</p> <ul> <li>"/acquisition/timeseries/broadband/data" - k x n <ul> <li>The broadband neural recordings.</li> </ul> </li> <li>"/acquisition/timeseries/broadband/data/conversion" (scalar attribute) <ul> <li>When multiplied by each sample converts the data into units of volts.</li> </ul> </li> <li>"/acquisition/timeseries/broadband/timestamps" - k x 1 <ul> <li>Timestamps for each sample, seconds.</li> </ul> </li> <li>"/general/extracellular_ephys/electrode_map" - n x 3 <ul> <li>The relative coordinates of each electrode contact (x, y, z), meters.</li> </ul> </li> </ul> <p>Please refer to the <a href="https://doi.org/10.5281/zenodo.583331">master dataset</a> for further information.</p>
Nonhuman Primate Reaching with Multichannel Sensorimotor Cortex Electrophysiology: broadband for indy_20160624_03
<p>This dataset supplements <a href="https://doi.org/10.5281/zenodo.583331">https://doi.org/10.5281/zenodo.583331</a> .<br> <br> <strong>General description.</strong> These data consist of extracellular neural recordings ("broadband") from primate subject "Indy", session identifier "indy_20160624_03".</p> <p><strong>Filtering. </strong>The data are sampled at 24414.0625 Hz and are unfiltered, except for an anti-aliasing filter built-in to the recording amplifier: a 4th order low-pass with a roll-off of 24 dB per octave at 7.5 kHz, operating at the sampling rate.</p> <p><strong>File format.</strong> The data are contained in an HDF5 formatted file, organized according to the <a href="https://github.com/NeurodataWithoutBorders/specification">Neurodata Without Borders (NWB) version 1.0.6</a> specification.</p> <p><strong>Datasets. </strong>A few of the relevant dataset paths are listed here for convenience. In the below, <em>n</em> refers to the number of recording channels and <em>k</em> refers to the number of samples.</p> <ul> <li>"/acquisition/timeseries/broadband/data" - k x n <ul> <li>The broadband neural recordings.</li> </ul> </li> <li>"/acquisition/timeseries/broadband/data/conversion" (scalar attribute) <ul> <li>When multiplied by each sample converts the data into units of volts.</li> </ul> </li> <li>"/acquisition/timeseries/broadband/timestamps" - k x 1 <ul> <li>Timestamps for each sample, seconds.</li> </ul> </li> <li>"/general/extracellular_ephys/electrode_map" - n x 3 <ul> <li>The relative coordinates of each electrode contact (x, y, z), meters.</li> </ul> </li> </ul> <p>Please refer to the <a href="https://doi.org/10.5281/zenodo.583331">master dataset</a> for further information.</p>
Nonhuman Primate Reaching with Multichannel Sensorimotor Cortex Electrophysiology: broadband for indy_20160622_01
<p>This dataset supplements <a href="https://doi.org/10.5281/zenodo.583331">https://doi.org/10.5281/zenodo.583331</a> .<br> <br> <strong>General description.</strong> These data consist of extracellular neural recordings ("broadband") from primate subject "Indy", session identifier "indy_20160622_01".</p> <p><strong>Filtering. </strong>The data are sampled at 24414.0625 Hz and are unfiltered, except for an anti-aliasing filter built-in to the recording amplifier: a 4th order low-pass with a roll-off of 24 dB per octave at 7.5 kHz, operating at the sampling rate.</p> <p><strong>File format.</strong> The data are contained in an HDF5 formatted file, organized according to the <a href="https://github.com/NeurodataWithoutBorders/specification">Neurodata Without Borders (NWB) version 1.0.6</a> specification.</p> <p><strong>Datasets. </strong>A few of the relevant dataset paths are listed here for convenience. In the below, <em>n</em> refers to the number of recording channels and <em>k</em> refers to the number of samples.</p> <ul> <li>"/acquisition/timeseries/broadband/data" - k x n <ul> <li>The broadband neural recordings.</li> </ul> </li> <li>"/acquisition/timeseries/broadband/data/conversion" (scalar attribute) <ul> <li>When multiplied by each sample converts the data into units of volts.</li> </ul> </li> <li>"/acquisition/timeseries/broadband/timestamps" - k x 1 <ul> <li>Timestamps for each sample, seconds.</li> </ul> </li> <li>"/general/extracellular_ephys/electrode_map" - n x 3 <ul> <li>The relative coordinates of each electrode contact (x, y, z), meters.</li> </ul> </li> </ul> <p>Please refer to the <a href="https://doi.org/10.5281/zenodo.583331">master dataset</a> for further information.</p>
Figs. 1–2 in Is Drosophila nasuta Lamb (Diptera, Drosophilidae) currently reaching the status of a cosmopolitan species?
Figs. 1–2. External male morphology of Drosophila nasuta (isofemale line M59F1), Cidade Universitária "Armando de Salles Oliveira", São Paulo, state of São Paulo, Brazil. 1. Head, anterodorsal view, showing the conspicuous iridescent white silvery frons. 2. Imago left lateral view, showing the large brownish stripe on half dorsal area of pleura. Scale bars: 1 = 0.2 mm, 2 = 1 mm.
Figs. 5–10 in Is Drosophila nasuta Lamb (Diptera, Drosophilidae) currently reaching the status of a cosmopolitan species?
Figs. 5–10. Wild-caught male of Drosophila nasuta (specimen M60C1), Cidade Universitária "Armando de Salles Oliveira", São Paulo, state of São Paulo, Brazil. 5–7. External male terminalia: tergite 8+epandrium, cerci, surstyli, and decasternum. 5. Left lateral view. 6. Oblique posterior view. 7. Posterior view. 8–10. Internal male terminalia: aedeagus, aedeagal apodeme, ventral rod, paraphyses, hypandrium + gonopods. 8. Left lateral view. 9. Oblique posterior view. 10. Posterior view. Scale bar 0.1 mm.
Figs. 3–4 in Is Drosophila nasuta Lamb (Diptera, Drosophilidae) currently reaching the status of a cosmopolitan species?
Figs. 3–4. Wild-caught male of Drosophila nasuta (specimen M60C1), Cidade Universitária "Armando de Salles Oliveira", São Paulo, state of São Paulo, Brazil. 3. Left foreleg, anterior view. 4. Left wing, dorsal view. Scale bar = 0.5 mm.
Waterfall reach and basin morphology, and pebble counts
<p><span>This dataset includes </span><span> sampling locations of detrital samples and environmental data on the basins from which detrital samples were collected (Table S1), </span><span>shielding values for bedrock and detrital cosmogenic samples (Table S4), the sampling locations of bedrock samples and study reach characteristics (Tables S2-3, S5-7 ), including model inputs and results for the combined process model (Table S7), and pebble count results and locations (Table S8-S9). Finally, we provide correlation coefficients between reach-averaged erosion rates and reach-scale characteristics (Table S10), and model inputs used in the combined model exploration (Table S11).</span></p>
ROAG (Reaching Over A Grid): Dataset of Human Reaching Motions Over a Discretely Sampled Workspace
<p>Joint absence in people with upper limb differences leads to compensatory motions. Such compensation has long been a topic of study, but typically only for a single object/user layout, which is unlikely to generalise across a workspace.<br><br>To better understand how arm motion and compensatory movements vary over the workspace, we created the <strong>ROAG</strong> dataset. ROAG is pronounced 'Rogue' and stands for <strong>R</strong>eaching <strong>O</strong>ver <strong>A</strong> <strong>G</strong>rid. The dataset was recorded at the GRAB Lab of Yale University (USA) and has since been processed at the Manipulation and Touch Lab of Imperial College London (UK). <br><br>ROAG is a motion capture dataset involving arm and torso pose during reach-to-grasp actions for 49 equally spaced cylindrical targets, orientated horizontally or vertically. The data is collected from seven able-bodied participants and two transradial amputees who use prosthetic devices. In the case of able-bodied participants, different bracing systems were applied to the arm to immobilise wrist joints and simulate transradial limb loss, leading to compensatory motions. In total, the dataset consists of 2450 reaching trajectories. This resource hosts the collected dataset and the related MATLAB analysis files.<br><br>The dataset has been the basis of the following publications:</p> <ul> <li>A. J. Spiers, Y. Gloumakov and A. M. Dollar, "Transradial Amputee Reaching: Compensatory Motion Quantification Versus Unaffected Individuals Including Bracing," in <em>IEEE Transactions on Medical Robotics and Bionics</em>, vol. 6, no. 2, pp. 706-717, May 2024, <a href="https://doi.org/10.1109/TMRB.2024.3381339" target="_blank" rel="noopener">https://doi.org/10.1109/TMRB.2024.3381339</a></li> <li>Qihan Yang, Yuri Gloumakov, and Adam J. Spiers. "Multi-feature Compensatory Motion Analysis for Reaching Motions Over a Discretely Sampled Workspace." in <em>IEEE RAS EMBS 10th International Conference on Biomedical Robotics and Biomechatronics (BioRob 2024),</em> <a href="https://doi.org/10.48550/arXiv.2409.05871" target="_blank" rel="noopener">https://doi.org/10.48550/arXiv.2409.05871</a></li> <li>Adam J Spiers, Yuri Gloumakov, Aaron M Dollar, "Examining the impact of wrist mobility on reaching motion compensation across a discretely sampled workspace", in IEEE <em>7th International Conference on Biomedical Robotics and Biomechatronics (BioRob 2018), </em><a href="https://doi.org/10.1109/BIOROB.2018.8487871" target="_blank" rel="noopener">https://doi.org/10.1109/BIOROB.2018.8487871</a><br><br></li> </ul>
Armature formula of P1–P4 as follows: P5 (Fig. 2B). With outer seta of BENP arising from long setophore. Endopodal lobe triangular, reaching middle of exopod; with small spinules along outer margin and at base of inner setae; with five elements – one outer subdistal, one apical and one inner subdistal normal seta, and two inner bifurcate elements. Exopod elongate, 2.8 times as long as wide; with spinules along inner margin and with few proximal outer spinules; with six elements – three outer slender, short setae, two apical elements, of which outermost one shorter, and one inner seta. in Proposal of new genera and species of the subfamily Diosaccinae (Copepoda: Harpacticoida: Miraciidae)
Armature formula of P1–P4 as follows: P5 (Fig. 2B). With outer seta of BENP arising from long setophore. Endopodal lobe triangular, reaching middle of exopod; with small spinules along outer margin and at base of inner setae; with five elements – one outer subdistal, one apical and one inner subdistal normal seta, and two inner bifurcate elements. Exopod elongate, 2.8 times as long as wide; with spinules along inner margin and with few proximal outer spinules; with six elements – three outer slender, short setae, two apical elements, of which outermost one shorter, and one inner seta.
FIGURE 6. A in A new small barb (Cyprininae: Smiliogastrini) from the N'sele and Mayi Ndombe rivers in the lower reaches of the middle Congo basin (Democratic Republic of Congo, Central Africa)
FIGURE 6. A, Distributional range of "Barbus" validus: yellow stars indicate collection sites and blue star indicates collection locality of holotype; B, typical habitat of "Barbus" validus in the Mayi Ndombe River.
FIGURE 4 in A new small barb (Cyprininae: Smiliogastrini) from the N'sele and Mayi Ndombe rivers in the lower reaches of the middle Congo basin (Democratic Republic of Congo, Central Africa)
FIGURE 4. Neurocrania in dorsal view: A, "Barbus" validus, AMNH 258938; B, "Barbus" humeralis, AMNH 247409; C, "Barbus" miolepis, AMNH 250765. Arrows indicate location of occipital foramina.
FIGURE 3 in A new small barb (Cyprininae: Smiliogastrini) from the N'sele and Mayi Ndombe rivers in the lower reaches of the middle Congo basin (Democratic Republic of Congo, Central Africa)
FIGURE 3. "Barbus" validus, new species: A, head in lateral view; B, isolated infraorbital series; C, head in dorsal view. White outlines indicate the location of tubercles.
FIGURE 1 in A new small barb (Cyprininae: Smiliogastrini) from the N'sele and Mayi Ndombe rivers in the lower reaches of the middle Congo basin (Democratic Republic of Congo, Central Africa)
FIGURE 1. Unrooted UPGMA network of partial cytochrome c oxidase subunit I (COI) sequences for representatives of all N'sele River smiliogastrins and representative samples of "Barbus"humeralis from the Lulua River (Kasai basin).
FIGURE 2 in A new small barb (Cyprininae: Smiliogastrini) from the N'sele and Mayi Ndombe rivers in the lower reaches of the middle Congo basin (Democratic Republic of Congo, Central Africa)
FIGURE 2. "Barbus" validus, new species: A, AMNH 259318, holotype (female) and AMNH 254600, paratype (male) in preservation; B, female and male immediately postmortem; C, digestive tract (slightly unraveled for clearer depiction of morphology), after removal of liver and adherent tissues (not to scale). Scale bars = 1 cm.
The Milky Way Over Anglers Reach
<p>Winner in the 2022 IAU OAE Astrophotography Contest, category Still images of celestial patterns.</p> <p> </p> <p>The Milky Way and several astronomical objects are seen in this image taken from the southern hemisphere, in Anglers Reach, Australia, in April 2022.</p> <p>On the bottom-left side we can identify the constellation Scorpius with its brightest star, Antares, the reddish spot just above the arc. Some prominent but small southern constellations can also be seen: the dominating bright stars in the middle-left of the image in the Milky Way are the four bright stars of Crux (the Southern Cross) and to its left the two pointer stars, alpha and beta Centauri. Crux points towards the southern celestial pole, which is not marked by a bright star, and The pointer stars point towards Crux, distinguishing it from the asterism of the False Cross in the constellation Argo.</p> <p>Crux features on the national flags of Australia, Brazil, Papua New Guinea, Samoa and New Zealand. As Crux lies in the brightest parts of the Milky Way, the dark cloud of the famous Coalsack Nebula is prominent next to the bright stars. It forms one of the dark constellations in South American, South African and Australian indigenous cultures. The huge Australian dark constellation of the Emu is almost completely above the horizon in this image, stretching from its head in the Coal Sack to the horizon.</p> <p>In Greek antiquity, the stars of Crux also belonged to the constellation Centaurus, a hybrid creature with a human torso and head attached to a horse body with four legs. The Greek centaur represents Chiron, the wise teacher of all Greek heroes. Its brightest star is Rigil Kentaurus (Alpha Centauri), the front hoof of the centaur. Just below it, we find the small constellation Triangulum Australe. The triple star system of Alpha Centauri is our Sun’s nearest stellar neighbour.</p> <p>Along the Milky Way in the middle-right of the picture we find the huge constellation Argo, the Ship. The smaller ancient constellation Argo was extended by Dutch navigators around 1600, and the number of stars in this constellation was then so big that the 18th-century French mathematician Lacaille needed to introduce subtitles for Argo in his star catalogue. In doing so, he invented the constellations Puppis, Carina and Vela. In Carina, the Keel of the ship, this reddish photograph clearly displays the Carina Nebula.</p> <p>At the right edge of the image we can spot the brightest star in the night sky, Sirius, while the second brightest star, Canopus, the rudder of Argo, the Ship, dominates the area under the arch of the Milky Way.</p> <p>Also below the Milky Way arc, we can see the Large Magellanic Cloud and the Small Magellanic Cloud, which are small satellite galaxies of our own Galaxy.</p> <p> </p> <p>Credit: Lucy Yunxi Hu/IAU OAE (<a href="https://creativecommons.org/licenses/by/4.0/legalcode">CC BY 4.0</a>)</p>
REACH Incubator - open-call #2 Awarded SME dataset
<p>This file contain public dataset describing the awarded SME during the 2nd round of the REACH Incubator project.</p>
Fast prediction in marmoset reach-to-grasp movements for dynamic prey - Reach Data and Supplemental Video
<p>Supplemental video and data corresponding to Shaw, L., Wang, K.H., Mitchell, J. (2023) Fast prediction in marmoset reach-to-grasp movements for dynamic prey.</p> <p>1. Video Files</p> <p>MarmoReach 1 is an illustrative example.</p> <p>MarmoReach 2 illustrates the reaching trial shown in Figure 3D.</p> <p>MarmoReach 3-5 are example reach to grasps from grasp clusters found in Figure 2. </p> <p>2. Data</p> <p>marmo_reach_model.mat is a Matlab struct.</p> <p>2D position data of hand and cricket used for analyses related to Figure 3 and Figure 4. </p> <p>x.hand,y.hand = position data of the central hand marker for each trial.</p> <p>x.cricket,y.cricket = position data of the cricket marker for each trial.</p> <p>x.cricketexfull,y.cricketexfull = position data of the cricket marker preceding reach onset for delay analyses. </p> <p>To reconstruct cricket position from beginning to end with the inclusion of the exfull data (prior to reach to reach end) for the second reach, for example, [model.x.cricketexfull{2}' model.x.cricket{2}'].</p> <p> </p>
Teach to Reach 8: Shared Experiences
<p>This publication presents the English-language experiences shared by Teach to Reach 8 participants ahead of the live event on 16 June 2023. <a href="https://www.learning.foundation/teachtoreach">Request your invitation for the next Teach to Reach</a>… <a href="https://hopin.com/events/teachtoreach8">View Teach to Reach 8 schedule</a>…</p> <p><strong>Sample:</strong> 16 835 registrants for Teach to Reach 8 were invited to share their experiences of immunization through an online questionnaire in June 2023.</p> <p><strong>Content:</strong> The following responses were received by thematic area as of 12 June 2023. For each theme, experiences are presented in the order in which they were received.</p> <table> <tbody> <tr> <td><strong>Theme</strong></td> <td><strong># contributions (English)</strong></td> <td><strong># contributions (French)</strong></td> <td><strong>Total # contributions</strong></td> </tr> <tr> <td>Why do you work for health?</td> <td>228</td> <td>251</td> <td>479</td> </tr> <tr> <td>Immunization in a humanitarian setting</td> <td>142</td> <td>129</td> <td>271</td> </tr> <tr> <td>Experiences of HPV vaccination</td> <td>103</td> <td>107</td> <td>210</td> </tr> <tr> <td>Oral Cholera Vaccine (OCV) usage during cholera outbreaks</td> <td>30</td> <td>78</td> <td>108</td> </tr> <tr> <td>The future of health work</td> <td>58</td> <td>26</td> <td>84</td> </tr> <tr> <td>How has your work been affected by the COVID-19 pandemic?</td> <td>24</td> <td>18</td> <td>42</td> </tr> <tr> <td>How has sharing experience with colleagues helped you in your daily work?</td> <td>21</td> <td>19</td> <td>40</td> </tr> <tr> <td>What will help you to build and maintain trust with the communities that you serve?</td> <td>23</td> <td>13</td> <td>36</td> </tr> <tr> <td>How have digital technologies become embedded in your daily work?</td> <td>17</td> <td>18</td> <td>35</td> </tr> </tbody> </table> <p><strong>Original languages</strong>: English and French. This publication presents only the English-language experiences shared.</p> <p><strong>Formats available</strong>: Qualitative narratives with structured demographic data and consent information (Excel).</p> <p><strong>Known limitations</strong>: Participant case studies and stories are self-reported and are not verified by TGLF.</p> <p><strong>Additional considerations about the data presented</strong>: The experiences shared narratives from self-selecting immunization professionals who chose to share their personal experience. Data are self-reported and are not verified by TGLF. Experiences are vetted for cohesive meaning and lightly edited before sharing. Inclusion of experiences and comments in TGLF Insights does not imply a recommendation on the part of the Foundation or its partners. The Foundation does not endorse any particular strategy, approach, or reflection shared by participants, and explicitly advises against inferring conclusions from context-specific cases that may not be generalizable. Readers are solely responsible for assessing the ethical, legal and practical implications of using material shared by peers, and in particular the need to adapt practice between contexts. The opinions and statements expressed in this publication are those of the individual contributors and do not necessarily reflect the official stance of their respective Ministries of Health or other employers. While contributors share their affiliations, they are participating in a personal capacity, and their contributions should not be considered as representing the views or endorsements of their affiliated organizations. All submissions have the author’s permission to be used by TGLF for purposes of communication, advocacy, capacity building, and research.</p> <p><strong>What is Teach to Reach 8?</strong></p> <p>16,835 health professionals from the frontlines of immunization and primary health care (PHC) are using the power of peer learning to tackle their local challenges through the Teach to Reach global learning-to-action network.</p> <p>The live event was held on Friday 16 June 2023, focused on one-to-one networking between participants.</p> <p>Teach to Reach 8 was opened by the Women Who Deliver Vaccines collective, who shared their experience of HPV vaccine introduction to help prevent 340,000 deaths from cervical cancer.</p> <p>Listen to the voices of Women Who Deliver Vaccines explain why HPV vaccine matters <a href="https://www.youtube.com/watch?v=XaGTCMTDJ8w">https://www.youtube.com/watch?v=XaGTCMTDJ8w</a></p> <p>The Teach to Reach 8 live event was powerful. However, this live learning moment was just one step of Teach to Reach.</p> <ul> <li>Ahead of the event, 1,175 participants had already shared experiences on range of community-selected questions.</li> <li>All Teach to Reach 8 participants receive the complete compendium of the experiences shared before the event.</li> <li>Participants are now using the next two weeks to share their learning and insights.</li> </ul> <p>These insights will also be given back to the community in the upcoming Teach to Reach 8 Listening and Learning insights report.</p> <p>At any time, participants can share further insights, ideas, and practices with each other, through <a href="https://www.learning.foundation/loop">The Double Loop</a>, our Insights newsletter.</p> <ul> <li>Learn more about The Double Loop <a href="https://www.learning.foundation/loop">https://www.learning.foundation/loop</a></li> <li>Follow this link to see the Teach to Reach 7 insights <a href="https://doi.org/10.5281/zenodo.7766585">https://doi.org/10.5281/zenodo.7766585</a></li> </ul> <p>Participants will also join Insights Live, live-streamed discussions of what we are learning together – and how we are using this to make a difference.</p> <p>Teach to Reach is part of the Geneva Learning Foundation’s learning-to-action pathway in support of the Movement for Immunization Agenda 2030 (IA2030).</p> <p>Unlike expensive face-to-face conferences, Teach to Reach is open to all, and there is no upper limit to the number of participants. <a href="https://redasadki-me.translate.goog/2023/06/12/digital-bridges-cannot-cross-analog-gates/?_x_tr_sl=en&_x_tr_tl=fr&_x_tr_hl=en&_x_tr_pto=wapp">Read more about the superior value, efficacy, and impact of digital networks to drive change in global health</a></p>
"The sound comes from a meadow in the Sierra Nevada Mountains in California. The meadow is at an elevation of 2400 meters near a mountain named Olancha Peak, which is 3700 meters in altitude. Ihave a group of friends with which Ibackpack (trek) into the mountains. Our goal was to spend some time in the mountains and hike to the top of Olancha Peak (…) By the time we reached the meadow, we were in a forest and there was still snow on the ground in some places. We took the trip in June of 2006. The Sierra Nevada Mountains are a large mountain range. Much of the range is protected by national parks or preserved areas we call 'wilderness areas' (…) Ihave been backpacking for nearly 40 years and Iwill hopefully continue with this challenging activity for 40 years more! Many of my friends are much younger than Iam and it gives me much satisfaction to be able to have as much or more stamina for this activity than they have! When we are on these trips, we hike up peaks, catch fish, drink some whiskey around campfires and enjoy our time in the beautiful solitude. My memories of this trip were of the steep, hot hike from the desert to the cool meadow; the overall beauty of the nature, the absolute solitude of our campsite near the meadow; the strenuous hike to the top of Olancha Peak; the camaraderie of my friends; and, of course the sound of the frogs in the meadow. The frog sounds were astounding to me and Iwould listen in awe of the creature's instinctual desire to reproduce and continue the existence of their kind. Surely there were different species in the meadow for some of the frog sounds were different than others. The sounds only occurred after the Sun went down for the evening. Istood next to the creek in the meadow and recorded the sounds using my digital camera." [Peter/plentz1960]16 in Collecting Sounds. Online Sharing of Field Recordings as Cultural Practice
"The sound comes from a meadow in the Sierra Nevada Mountains in California. The meadow is at an elevation of 2400 meters near a mountain named Olancha Peak, which is 3700 meters in altitude. Ihave a group of friends with which Ibackpack (trek) into the mountains. Our goal was to spend some time in the mountains and hike to the top of Olancha Peak (…) By the time we reached the meadow, we were in a forest and there was still snow on the ground in some places. We took the trip in June of 2006. The Sierra Nevada Mountains are a large mountain range. Much of the range is protected by national parks or preserved areas we call 'wilderness areas' (…) Ihave been backpacking for nearly 40 years and Iwill hopefully continue with this challenging activity for 40 years more! Many of my friends are much younger than Iam and it gives me much satisfaction to be able to have as much or more stamina for this activity than they have! When we are on these trips, we hike up peaks, catch fish, drink some whiskey around campfires and enjoy our time in the beautiful solitude. My memories of this trip were of the steep, hot hike from the desert to the cool meadow; the overall beauty of the nature, the absolute solitude of our campsite near the meadow; the strenuous hike to the top of Olancha Peak; the camaraderie of my friends; and, of course the sound of the frogs in the meadow. The frog sounds were astounding to me and Iwould listen in awe of the creature's instinctual desire to reproduce and continue the existence of their kind. Surely there were different species in the meadow for some of the frog sounds were different than others. The sounds only occurred after the Sun went down for the evening. Istood next to the creek in the meadow and recorded the sounds using my digital camera." [Peter/plentz1960]16
ScienceDex guides
Understand access before you commit
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.