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FIGURE 1 in The challenge of hard-to-reach spaces in mechanical fossil preparation: Development of the Wada air scribe, a novel short-bodied air scribe with an adjustable handle

FIGURE 1. Usage example of a conventional pen-shaped pneumatic air scribe. A. Fossil preparation inside of the deep cavity. Note that preparators are required to hold the air scribe at an awkward angle when they try to prepare a hard-to-reach area. B. Micropreparation using the pen-shaped air scribe. The handle of the air scribe could be caught on the rim of the objective lens.

opencc-by-4.0Jul 2024View details →
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FIGURE S3. The production flow for a in The challenge of hard-to-reach spaces in mechanical fossil preparation: Development of the Wada air scribe, a novel short-bodied air scribe with an adjustable handle

FIGURE S3. The production flow for a cylinder. Schematic diagrams in lateral (upper row) and front (lower row) views are shown.

opencc-by-4.0Jul 2024View details →
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FIGURE S2. The production flow for a in The challenge of hard-to-reach spaces in mechanical fossil preparation: Development of the Wada air scribe, a novel short-bodied air scribe with an adjustable handle

FIGURE S2. The production flow for a junction. Schematic diagrams in lateral view (upper row) and crosssections (lower row) are shown.

opencc-by-4.0Jul 2024View details →
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FIGURE 10. Comparison between the commercially available air scribe and the Wada air scribes. A, a in The challenge of hard-to-reach spaces in mechanical fossil preparation: Development of the Wada air scribe, a novel short-bodied air scribe with an adjustable handle

FIGURE 10. Comparison between the commercially available air scribe and the Wada air scribes. A, a penshaped air scribe (Micro Jack 2 from PaleoTools®); B, the Wada air scribe.

opencc-by-4.0Jul 2024View details →
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FIGURE 4 in The challenge of hard-to-reach spaces in mechanical fossil preparation: Development of the Wada air scribe, a novel short-bodied air scribe with an adjustable handle

FIGURE 4. The assembly drawing of the stylus, spring, and bushing. Note that the distance between the bushing and the base of the stylus must be more than 1 mm.

opencc-by-4.0Jul 2024View details →
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FIGURE 9. The Wada air scribe with handle forms 1 in The challenge of hard-to-reach spaces in mechanical fossil preparation: Development of the Wada air scribe, a novel short-bodied air scribe with an adjustable handle

FIGURE 9. The Wada air scribe with handle forms 1 (A-C) and 2 (D-F) at a straight angle (0 degrees) (A and D) and a right angle (90 degrees) (B and D), respectively. Using a closed-cell polyurethane foam sleeve cover to encase the handles can effectively reduce the impact on the hand (C and F).

opencc-by-4.0Jul 2024View details →
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Рис. 1. Карта-схема р. Амазар. Цифрами обозначены: I — места Αобычи россыпного зоΛота; II — участки иссΛеΑования в 2018–2019 гг.: 1 — реки Амазар и БоΛьшая Чичатка в районе пгт. Амазар, 2 — воΑохраниΛище, 3 — р. Крестовая, 4 — р. Амазар в нижнем течении Fig. 1. Schematic map of the Amazar River. Legend: I — placer gold mining areas; II — survey areas in 2018–2019: 1 — the Amazar and the Bolshaya Chichatka Rivers in the area of Amazar urban-type settlement, 2 — water storage reservoir, 3 — the Krestovaya River, 4 — the lower reaches of the Amazar River in Dynamics and current status of the Amazar River ichthyofauna after the construction of the PPM «Polyarnaya» hydroelectric complex

Рис. 1. Карта-схема р. Амазар. Цифрами обозначены: I — места Αобычи россыпного зоΛота; II — участки иссΛеΑования в 2018–2019 гг.: 1 — реки Амазар и БоΛьшая Чичатка в районе пгт. Амазар, 2 — воΑохраниΛище, 3 — р. Крестовая, 4 — р. Амазар в нижнем течении Fig. 1. Schematic map of the Amazar River. Legend: I — placer gold mining areas; II — survey areas in 2018–2019: 1 — the Amazar and the Bolshaya Chichatka Rivers in the area of Amazar urban-type settlement, 2 — water storage reservoir, 3 — the Krestovaya River, 4 — the lower reaches of the Amazar River

opencc-by-4.0Dec 2020View details →
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Рис. 3. Останки пятнистого оΛеня — жертвы воΛков на ΛьΑу р. Бикин в верхнем течении, 29 января 2019 г. Fig. 3. Remains of a sika deer (wolves' prey) on the ice in the upper reaches of the Bikin River, January 29, 2019 in Documented Evidence Of Habitation For The Sika Deer, The Amur Leopard Cat And The Striped Field Mouse In The Bikin National Park (Russia)

Рис. 3. Останки пятнистого оΛеня — жертвы воΛков на ΛьΑу р. Бикин в верхнем течении, 29 января 2019 г. Fig. 3. Remains of a sika deer (wolves' prey) on the ice in the upper reaches of the Bikin River, January 29, 2019

opencc-by-4.0Dec 2020View details →
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Fig. 1 in Leptoglossus occidentalis Heidemann, 1910 (Hemiptera: Heteroptera: Coreidae: Coreinae: Anisoscelini) has reached the Greek island of Crete.

Fig. 1.- Leptoglossus occidentalis Heidemann, 1910, Ferma, Crete, Greece, 21.08.2015. (Photograph: Steve Daniels).

opencc-by-4.0Nov 2017View details →
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Рис. 3. ПоΔразΔеΛение Обжоровского участка на зоны и поΔзоны районирования низовьев ΔеΛьты ВоΛги. Обозначения: 1 — верхняя часть русΛовой зоны; 2 — среΔняя часть русΛовой зоны; 3 — нижняя часть русΛовой зоны; 4 — куΛтучная зона и вытечки протоков Fig. 3. Obzhorovsky transect by zones and subzones of the lower reaches of the Volga delta. Designations: 1 — upper part of the streambed; 2 — middle part of the streambed; 3 — lower part of the streambed; 4 — cultuk zone and the streambed outflow in The number and distribution of the raccoon dog (Nyctereutes procyonoides Gray) and the common jackal (Canis aureus L.) in 2021-2022 in Astrakhan Nature Reserve under the influence of hydrological changes

Рис. 3. ПоΔразΔеΛение Обжоровского участка на зоны и поΔзоны районирования низовьев ΔеΛьты ВоΛги. Обозначения: 1 — верхняя часть русΛовой зоны; 2 — среΔняя часть русΛовой зоны; 3 — нижняя часть русΛовой зоны; 4 — куΛтучная зона и вытечки протоков Fig. 3. Obzhorovsky transect by zones and subzones of the lower reaches of the Volga delta. Designations: 1 — upper part of the streambed; 2 — middle part of the streambed; 3 — lower part of the streambed; 4 — cultuk zone and the streambed outflow

opencc-by-4.0Dec 2023View details →
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Рис. 2. ПоΔразΔеΛение Αамчикского участка на зоны и поΔзоны районирования низовьев ΔеΛьты ВоΛги (часть 2). Обозначения: 1 — верхняя часть русΛовой зоны; 2 — среΔняя часть русΛовой зоны: 3 — нижняя часть русΛовой зоны; 4 — куΛтучная зона и вытечки протоков Fig. 2. Damchiksky transect by zones and subzones of the lower reaches of the Volga delta (part 2). 1 — upper part of the streambed; 2 — middle part of the streambed; 3 — lower part of the streambed; 4 — cultuk zone and the streambed outflow in The number and distribution of the raccoon dog (Nyctereutes procyonoides Gray) and the common jackal (Canis aureus L.) in 2021-2022 in Astrakhan Nature Reserve under the influence of hydrological changes

Рис. 2. ПоΔразΔеΛение Αамчикского участка на зоны и поΔзоны районирования низовьев ΔеΛьты ВоΛги (часть 2). Обозначения: 1 — верхняя часть русΛовой зоны; 2 — среΔняя часть русΛовой зоны: 3 — нижняя часть русΛовой зоны; 4 — куΛтучная зона и вытечки протоков Fig. 2. Damchiksky transect by zones and subzones of the lower reaches of the Volga delta (part 2). 1 — upper part of the streambed; 2 — middle part of the streambed; 3 — lower part of the streambed; 4 — cultuk zone and the streambed outflow

opencc-by-4.0Dec 2023View details →
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Рис. 4. Карта-схема мест встреч пятнистого оΛеня в Нижнем Приамурье в 1979–2021 гг. КваΑраты — места фоторегистрации: 1 — верховья рр. Обор и Àурмин; 2, 3 — Анюйский национаΛьный парк; круги — места встреч по Λитературным и опросным Αанным: 1 — окрестности с. Кутузовка (место первой регистрации в 1979 г.); 2 — верховья р. СиΑима; 3 — устье р. Нижняя Буге; 4 — бассейн р. Мухен; 5–8 — Анюйский национаΛьный парк (соответственно, р. Пихца, урочище Сира, окрестности с. Арсеньево, устье р. СоΛоми); 9 — среΑнее течение р. СоΛоми; 10 — 76 км трассы ΔиΑога — Ванино; 11 — бассейн р. Кия; 12 — бассейн р. ХойΑур; 13 — бассейн р. Нюра Fig. 4. A schematic map of sika deer sightings in the Lower Amur Region in 1979-2021. Squares designate sites of photo recording: 1 — upper reaches of the rivers Obor and Durmin; 2, 3 — Anyui National Park; circles designate sightings sites according to the literature and the survey data: 1 — vicinity of the village Kutuzovka (the place of the first registration in 1979); 2 — upper reaches of the river Sidima; 3 — the mouth of the river Lower Buge; 4 — the Mukhen River basin; 5-8 —Anyui National Park (respectively, the Pikhtsa River, the Sira tract, the vicinity of the village Arsenyevo, the mouth of the Solomi River); 9 — the middle course of the Solomi River; 10 — 76 km of the Lidoga-Vanino Highway; 11 — the Kiya River basin; 12 — the Khoydur River basin; 13 — the Nyura River basin in New data on the distribution of sika deer Cervus nippon Temminck, 1838 in the Lower Amur Region

Рис. 4. Карта-схема мест встреч пятнистого оΛеня в Нижнем Приамурье в 1979–2021 гг. КваΑраты — места фоторегистрации: 1 — верховья рр. Обор и Àурмин; 2, 3 — Анюйский национаΛьный парк; круги — места встреч по Λитературным и опросным Αанным: 1 — окрестности с. Кутузовка (место первой регистрации в 1979 г.); 2 — верховья р. СиΑима; 3 — устье р. Нижняя Буге; 4 — бассейн р. Мухен; 5–8 — Анюйский национаΛьный парк (соответственно, р. Пихца, урочище Сира, окрестности с. Арсеньево, устье р. СоΛоми); 9 — среΑнее течение р. СоΛоми; 10 — 76 км трассы ΔиΑога — Ванино; 11 — бассейн р. Кия; 12 — бассейн р. ХойΑур; 13 — бассейн р. Нюра Fig. 4. A schematic map of sika deer sightings in the Lower Amur Region in 1979-2021. Squares designate sites of photo recording: 1 — upper reaches of the rivers Obor and Durmin; 2, 3 — Anyui National Park; circles designate sightings sites according to the literature and the survey data: 1 — vicinity of the village Kutuzovka (the place of the first registration in 1979); 2 — upper reaches of the river Sidima; 3 — the mouth of the river Lower Buge; 4 — the Mukhen River basin; 5-8 —Anyui National Park (respectively, the Pikhtsa River, the Sira tract, the vicinity of the village Arsenyevo, the mouth of the Solomi River); 9 — the middle course of the Solomi River; 10 — 76 km of the Lidoga-Vanino Highway; 11 — the Kiya River basin; 12 — the Khoydur River basin; 13 — the Nyura River basin

opencc-by-4.0Dec 2023View details →
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Рис. 1. ПоΔразΔеΛение Αамчикского участка на зоны и поΔзоны районирования низовьев ΔеΛьты ВоΛги (часть 1). Обозначения: 1 — верхняя часть русΛовой зоны; 2 — среΔняя часть русΛовой зоны: 3 — нижняя часть русΛовой зоны; 4 — куΛтучная зона и вытечки протоков Fig. 1. Damchiksky transect by zones and subzones of the lower reaches of the Volga delta (part 1). Designations: 1 — upper part of the streambed; 2 — middle part of the streambed; 3 — lower part of the streambed; 4 — cultuk zone and the streambed outflow in The number and distribution of the raccoon dog (Nyctereutes procyonoides Gray) and the common jackal (Canis aureus L.) in 2021-2022 in Astrakhan Nature Reserve under the influence of hydrological changes

Рис. 1. ПоΔразΔеΛение Αамчикского участка на зоны и поΔзоны районирования низовьев ΔеΛьты ВоΛги (часть 1). Обозначения: 1 — верхняя часть русΛовой зоны; 2 — среΔняя часть русΛовой зоны: 3 — нижняя часть русΛовой зоны; 4 — куΛтучная зона и вытечки протоков Fig. 1. Damchiksky transect by zones and subzones of the lower reaches of the Volga delta (part 1). Designations: 1 — upper part of the streambed; 2 — middle part of the streambed; 3 — lower part of the streambed; 4 — cultuk zone and the streambed outflow

opencc-by-4.0Dec 2023View details →
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Рис. 1. Карта-схема пунктов сборов Gynaephora (rossii) в Якутии: 1 — о-в КотеΛьный; 2 — о-в СтоΛбовой; 3 — о-в МаΛый Αяховский; 4 — о-в БоΛьшой Αяховский; 5 — п-ов Быковский в устье Αены; 6 — СеΛΛяхская губа, р. СеΛях, низовья Яны; 7 — КоΛымская протока, низовья ИнΔигирки; 8 — озеро ХомоΛох, бассейн р. БёрёΛёх, низовья ИнΔигирки; 9 — о-в Крестовский; 10 — о-в ЧетырехстоΛбовой; 11 — устье р. Энюмчувеем, южное побережье Восточно-Сибирского моря; 12 — хребет СунтарХаята; 13 — р. ÀжеΛинΔа в системе Станового хребта (точками обозначены ранее опубΛикованные точки, треугоΛьниками — новые местообитания) Fig. 1. Chart of Gynaephora (rossii) collection sites in Yakutia: 1 — Kotelny island; 2 — Stolbovoy island; 3 — Maly Lyakhovsky island; 4 — Bolshoi Lyakhovsky island; 5 — Bykovsky peninsula at the mouth of the Lena river; 6 — Sellakhskaya bay, Selyakh river, lower reaches of the Yana river; 7 — Kolymskaya channel, lower reaches of the Indigirka river; 8 — Lake Homolokh, Berelekh river basin, lower reaches of the Indigirka river; 9 — Krestovsky island; 10 — Chetyrekhstolbovoy island; 11 — the mouth of the Enyumchuveem river, southern coast of the East Siberian sea; 12 — Suntar-Khayata ridge; 13 — Gelinda river in the Stanovoy ridge system (dots indicate previously published localities, triangles indicate new localities) in New data on the distribution of the Gynaephora (rossii) species group in Northern Yakutia

Рис. 1. Карта-схема пунктов сборов Gynaephora (rossii) в Якутии: 1 — о-в КотеΛьный; 2 — о-в СтоΛбовой; 3 — о-в МаΛый Αяховский; 4 — о-в БоΛьшой Αяховский; 5 — п-ов Быковский в устье Αены; 6 — СеΛΛяхская губа, р. СеΛях, низовья Яны; 7 — КоΛымская протока, низовья ИнΔигирки; 8 — озеро ХомоΛох, бассейн р. БёрёΛёх, низовья ИнΔигирки; 9 — о-в Крестовский; 10 — о-в ЧетырехстоΛбовой; 11 — устье р. Энюмчувеем, южное побережье Восточно-Сибирского моря; 12 — хребет СунтарХаята; 13 — р. ÀжеΛинΔа в системе Станового хребта (точками обозначены ранее опубΛикованные точки, треугоΛьниками — новые местообитания) Fig. 1. Chart of Gynaephora (rossii) collection sites in Yakutia: 1 — Kotelny island; 2 — Stolbovoy island; 3 — Maly Lyakhovsky island; 4 — Bolshoi Lyakhovsky island; 5 — Bykovsky peninsula at the mouth of the Lena river; 6 — Sellakhskaya bay, Selyakh river, lower reaches of the Yana river; 7 — Kolymskaya channel, lower reaches of the Indigirka river; 8 — Lake Homolokh, Berelekh river basin, lower reaches of the Indigirka river; 9 — Krestovsky island; 10 — Chetyrekhstolbovoy island; 11 — the mouth of the Enyumchuveem river, southern coast of the East Siberian sea; 12 — Suntar-Khayata ridge; 13 — Gelinda river in the Stanovoy ridge system (dots indicate previously published localities, triangles indicate new localities)

opencc-by-4.0Dec 2022View details →
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Nonhuman Primate Reaching with Multichannel Sensorimotor Cortex Electrophysiology: broadband for indy_20170127_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&nbsp;consist&nbsp;of extracellular&nbsp;neural recordings (&quot;broadband&quot;)&nbsp;from primate subject &quot;Indy&quot;, session identifier &quot;indy_20170127_03&quot;.</p> <p><strong>Filtering. </strong>The data are sampled at 24414.0625 Hz and&nbsp;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>&nbsp;The data are contained in an HDF5 formatted file, organized according&nbsp;to&nbsp;the <a href="https://github.com/NeurodataWithoutBorders/specification">Neurodata Without Borders (NWB)&nbsp;version 1.0.6</a>&nbsp;specification.</p> <p><strong>Datasets. </strong>A few of the relevant dataset paths are listed here for convenience.&nbsp;In the below,&nbsp;<em>n</em>&nbsp;refers to the number of recording channels&nbsp;and&nbsp;<em>k</em>&nbsp;refers to the number of samples.</p> <ul> <li>&quot;/acquisition/timeseries/broadband/data&quot; -&nbsp;k x n <ul> <li>The broadband neural recordings.</li> </ul> </li> <li>&quot;/acquisition/timeseries/broadband/data/conversion&quot; (scalar attribute) <ul> <li>When multiplied by each sample converts the data into units of volts.</li> </ul> </li> <li>&quot;/acquisition/timeseries/broadband/timestamps&quot; -&nbsp;k x 1 <ul> <li>Timestamps for each sample, seconds.</li> </ul> </li> <li>&quot;/general/extracellular_ephys/electrode_map&quot; -&nbsp;n x 3 <ul> <li>The relative coordinates&nbsp;of each electrode contact&nbsp;(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>

opencc-by-4.0Jan 2018View details →
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Nonhuman Primate Reaching with Multichannel Sensorimotor Cortex Electrophysiology: broadband for indy_20170124_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&nbsp;consist&nbsp;of extracellular&nbsp;neural recordings (&quot;broadband&quot;)&nbsp;from primate subject &quot;Indy&quot;, session identifier &quot;indy_20170124_01&quot;.</p> <p><strong>Filtering. </strong>The data are sampled at 24414.0625 Hz and&nbsp;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>&nbsp;The data are contained in an HDF5 formatted file, organized according&nbsp;to&nbsp;the <a href="https://github.com/NeurodataWithoutBorders/specification">Neurodata Without Borders (NWB)&nbsp;version 1.0.6</a>&nbsp;specification.</p> <p><strong>Datasets. </strong>A few of the relevant dataset paths are listed here for convenience.&nbsp;In the below,&nbsp;<em>n</em>&nbsp;refers to the number of recording channels&nbsp;and&nbsp;<em>k</em>&nbsp;refers to the number of samples.</p> <ul> <li>&quot;/acquisition/timeseries/broadband/data&quot; -&nbsp;k x n <ul> <li>The broadband neural recordings.</li> </ul> </li> <li>&quot;/acquisition/timeseries/broadband/data/conversion&quot; (scalar attribute) <ul> <li>When multiplied by each sample converts the data into units of volts.</li> </ul> </li> <li>&quot;/acquisition/timeseries/broadband/timestamps&quot; -&nbsp;k x 1 <ul> <li>Timestamps for each sample, seconds.</li> </ul> </li> <li>&quot;/general/extracellular_ephys/electrode_map&quot; -&nbsp;n x 3 <ul> <li>The relative coordinates&nbsp;of each electrode contact&nbsp;(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>

opencc-by-4.0Jan 2018View details →
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Nonhuman Primate Reaching with Multichannel Sensorimotor Cortex Electrophysiology: broadband for indy_20170123_02

<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&nbsp;consist&nbsp;of extracellular&nbsp;neural recordings (&quot;broadband&quot;)&nbsp;from primate subject &quot;Indy&quot;, session identifier &quot;indy_20170123_02&quot;.</p> <p><strong>Filtering. </strong>The data are sampled at 24414.0625 Hz and&nbsp;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>&nbsp;The data are contained in an HDF5 formatted file, organized according&nbsp;to&nbsp;the <a href="https://github.com/NeurodataWithoutBorders/specification">Neurodata Without Borders (NWB)&nbsp;version 1.0.6</a>&nbsp;specification.</p> <p><strong>Datasets. </strong>A few of the relevant dataset paths are listed here for convenience.&nbsp;In the below,&nbsp;<em>n</em>&nbsp;refers to the number of recording channels&nbsp;and&nbsp;<em>k</em>&nbsp;refers to the number of samples.</p> <ul> <li>&quot;/acquisition/timeseries/broadband/data&quot; -&nbsp;k x n <ul> <li>The broadband neural recordings.</li> </ul> </li> <li>&quot;/acquisition/timeseries/broadband/data/conversion&quot; (scalar attribute) <ul> <li>When multiplied by each sample converts the data into units of volts.</li> </ul> </li> <li>&quot;/acquisition/timeseries/broadband/timestamps&quot; -&nbsp;k x 1 <ul> <li>Timestamps for each sample, seconds.</li> </ul> </li> <li>&quot;/general/extracellular_ephys/electrode_map&quot; -&nbsp;n x 3 <ul> <li>The relative coordinates&nbsp;of each electrode contact&nbsp;(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>

opencc-by-4.0Feb 2018View details →
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A Genetic Algorithm Approach to Regenerate Image from a Reduce Scaled Image Using Bit Data Count-Figure 13. Reached convergence

<p>In figure 11 it is the initial population showed and figure 12 the population started to change and figure 13 we reached a convergence.</p>

opencc-by-4.0Apr 2018View details →
zenodo40/100

Nonhuman Primate Reaching with Multichannel Sensorimotor Cortex Electrophysiology: broadband for indy_20161220_02

<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&nbsp;consist&nbsp;of extracellular&nbsp;neural recordings (&quot;broadband&quot;)&nbsp;from primate subject &quot;Indy&quot;, session identifier &quot;indy_20161220_02&quot;.</p> <p><strong>Filtering. </strong>The data are sampled at 24414.0625 Hz and&nbsp;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>&nbsp;The data are contained in an HDF5 formatted file, organized according&nbsp;to&nbsp;the <a href="https://github.com/NeurodataWithoutBorders/specification">Neurodata Without Borders (NWB)&nbsp;version 1.0.6</a>&nbsp;specification.</p> <p><strong>Datasets. </strong>A few of the relevant dataset paths are listed here for convenience.&nbsp;In the below,&nbsp;<em>n</em>&nbsp;refers to the number of recording channels&nbsp;and&nbsp;<em>k</em>&nbsp;refers to the number of samples.</p> <ul> <li>&quot;/acquisition/timeseries/broadband/data&quot; -&nbsp;k x n <ul> <li>The broadband neural recordings.</li> </ul> </li> <li>&quot;/acquisition/timeseries/broadband/data/conversion&quot; (scalar attribute) <ul> <li>When multiplied by each sample converts the data into units of volts.</li> </ul> </li> <li>&quot;/acquisition/timeseries/broadband/timestamps&quot; -&nbsp;k x 1 <ul> <li>Timestamps for each sample, seconds.</li> </ul> </li> <li>&quot;/general/extracellular_ephys/electrode_map&quot; -&nbsp;n x 3 <ul> <li>The relative coordinates&nbsp;of each electrode contact&nbsp;(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>

opencc-by-4.0Jun 2018View details →
zenodo40/100

Nonhuman Primate Reaching with Multichannel Sensorimotor Cortex Electrophysiology: broadband for indy_20161207_02

<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&nbsp;consist&nbsp;of extracellular&nbsp;neural recordings (&quot;broadband&quot;)&nbsp;from primate subject &quot;Indy&quot;, session identifier &quot;indy_20161207_02&quot;.</p> <p><strong>Filtering. </strong>The data are sampled at 24414.0625 Hz and&nbsp;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>&nbsp;The data are contained in an HDF5 formatted file, organized according&nbsp;to&nbsp;the <a href="https://github.com/NeurodataWithoutBorders/specification">Neurodata Without Borders (NWB)&nbsp;version 1.0.6</a>&nbsp;specification.</p> <p><strong>Datasets. </strong>A few of the relevant dataset paths are listed here for convenience.&nbsp;In the below,&nbsp;<em>n</em>&nbsp;refers to the number of recording channels&nbsp;and&nbsp;<em>k</em>&nbsp;refers to the number of samples.</p> <ul> <li>&quot;/acquisition/timeseries/broadband/data&quot; -&nbsp;k x n <ul> <li>The broadband neural recordings.</li> </ul> </li> <li>&quot;/acquisition/timeseries/broadband/data/conversion&quot; (scalar attribute) <ul> <li>When multiplied by each sample converts the data into units of volts.</li> </ul> </li> <li>&quot;/acquisition/timeseries/broadband/timestamps&quot; -&nbsp;k x 1 <ul> <li>Timestamps for each sample, seconds.</li> </ul> </li> <li>&quot;/general/extracellular_ephys/electrode_map&quot; -&nbsp;n x 3 <ul> <li>The relative coordinates&nbsp;of each electrode contact&nbsp;(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>

opencc-by-4.0Jul 2018View details →

ScienceDex guides

Understand access before you commit

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

Compare curated 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.

allen-brain-atlas
neuroscienceopenDocumentation, web resources, and API references are available online.
Last verified 2026-04-30Open record

Annotated Behaviour and Observability Dataset (ABODe)

ABODe is a University of Edinburgh DataShare dataset for behavior classification in group-housed mice using home-cage video, identities, bounding boxes, ground-plate positions, and annotator labels.

abode-home-cage
behavioral-neuroscienceopenThe DataShare record exposes download links for annotations, documentation, license text, and the zipped per-snippet data directory.
Last verified 2026-04-30Open record

DANDI Archive for NWB datasets

DANDI is a BRAIN Initiative archive for publishing and sharing neurophysiology data, including electrophysiology, optophysiology, and behavioral data packaged as NWB and related standards.

dandi-nwb
electrophysiologyopenPublished Dandiset metadata and archive endpoints are available through the production DANDI API.
Last verified 2026-04-30Open record

International Brain Laboratory public data

The International Brain Laboratory public data releases expose standardized mouse decision-making experiments, including Neuropixels recordings, widefield calcium imaging, behavior, and session metadata accessed through the ONE API.

ibl
behavioral-neuroscienceopenPublic sessions can be searched and loaded from the IBL public data server through ONE.
Last verified 2026-04-29Open record

OpenNeuro

OpenNeuro is a free, open platform for sharing neuroimaging datasets, with public search, dataset pages, and download paths for web, S3, DataLad, and the OpenNeuro CLI.

openneuro
neuroscienceopenPublished datasets are available on demand over the internet.
Last verified 2026-04-29Open record