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Figure 1 in On two new or interesting species of the family Niphargidae from Greece and Croatia (Contribution to the knowledge of the Amphipoda 286)

Figure 1. Niphargus impexus, sp. n., Iraklion, Crete Island, Greece, male 9.8 mm: A antenna 1; B antenna 2; C labium; D maxilla 1; E maxilla 2; F epimeral plates 1-3; G telson.

opencc-by-4.0Jan 2016View details →
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Figure 7 in On two new or interesting species of the family Niphargidae from Greece and Croatia (Contribution to the knowledge of the Amphipoda 286)

Figure 7. Niphargus impexus, sp. n., Iraklion, Crete Island, Greece, female 9.2 mm: A inner plate of maxilla 1; B pereopod 3; C coxa 4; D epimeral plates 1-3; E peduncle of pleopod 1; F peduncle of pleopod 2; G peduncle of pleopod 3.

opencc-by-4.0Jan 2016View details →
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Figure 4 in On two new or interesting species of the family Niphargidae from Greece and Croatia (Contribution to the knowledge of the Amphipoda 286)

Figure 4. Niphargus impexus, sp. n., Iraklion, Crete Island, Greece, male 9.8 mm: A labrum; B head; C-D pereopod 3; E-F pereopod 4; G urosome with uropods 1-2.

opencc-by-4.0Jan 2016View details →
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Figure 6 in On two new or interesting species of the family Niphargidae from Greece and Croatia (Contribution to the knowledge of the Amphipoda 286)

Figure 6. Niphargus impexus, sp. n., Iraklion, Crete Island, Greece, female 9.2 mm: A left mandible, incur and lacinia mobilis; B-C gnathopod 1, outer face; D-E gnathopod 2, outer face.

opencc-by-4.0Jan 2016View details →
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Figure 3 in On two new or interesting species of the family Niphargidae from Greece and Croatia (Contribution to the knowledge of the Amphipoda 286)

Figure 3. Niphargus impexus, sp. n., Iraklion, Crete Island, Greece, male 9.8 mm: A-B gnathopod 1, outer face; C distal corner of gnathopod 1 propodus, inner face [S-corner spine; L-lateral spines; R-subcorner spine]; D-E gnathopod 2, outer face; F distal corner of gnathopod 1 propodus, inner face [S-corner spine; L-lateral spines; R-subcorner spine; Mfacial setae].

opencc-by-4.0Jan 2016View details →
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Figure 9 in On two new or interesting species of the family Niphargidae from Greece and Croatia (Contribution to the knowledge of the Amphipoda 286)

Figure 9. Niphargus impexus, sp. n., Iraklion, Crete Island, Greece, female 9.2 mm: A uropod 1; B uropod 2; C uropod 3; D telson.

opencc-by-4.0Jan 2016View details →
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Demontration Activities Data Set on the performances of the Photocatalytic pilot plant In Demosite 4 (Galeb, Omis, Croatia) Deliverable 5.6

<p>Raw data (TOC and emerging contaminants time profiles) concernig the validation experiment of the photocatalytic pilot plant for tertiary water treatment deployed in ProjectO demosite 4. The data are presented in D5.6 and pertain three months of demonstration activities</p>

opencc-by-4.0Jul 2023View details →
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Figure 1 in On the occurrence of the Synodontis eupterus (Mochokidae) in the Adriatic drainage system of Croatia: a case of an introduced aquarium species and suggestions for alien species detection measures

Figure 1. – Synodontis eupterus (from Mala Neretva River) (TL = 193 mm) (catalogue number SE-IOR 8112017).

opencc-by-4.0Oct 2018View details →
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Figure 1 in Early development of the freshwater goby Orsinogobius croaticus endemic to Croatia and Bosnia-Herzegovina

Figure 1. – Geographic distribution of the Orsinogobius croaticus. The circle indicates the sampling site.

opencc-by-4.0Dec 2017View details →
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Croatia Krka Chapel

Small chapel in Krka national park in Croatia. Capture with IPad 190 images. Optimized Source: Objaverse 1.0 / Sketchfab

opencc-byAug 2022View details →
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Database of topsoil chemical and physical properties in Croatia

<h3>Sources</h3><p>Data for database is collected from four main sources:&nbsp;</p><ul><li>Data published in book "Martinović, J. and Vranković, A. (Editors), 1997. Baza podataka o hrvatskim tlima, I. Državna uprava za zaštitu prirode i okoliša, Zagreb" labeled as "martinovic_1997" in the database.<ul><li>This source consists of 2199 pedological profiles sampled from 1963 to 1996, most of which include depth to bedrock information.</li></ul></li><li>Data from project: "Spatial variability of trace and toxic metals in agricultural soils of Croatia", Ministry of Science and Education and Croatian Waters. Project leader: prof.dr.sc. Marija Romić from Faculty of Agriculture, Zagreb, labeled as "agricultural_2013".<ul><li>Data are sampled from "database of properties and quality of agricultural soils of Croatia" on 8x8 km grid and consists only from top soil samples (0-30 cm). There are 811 samples in this database.</li></ul></li><li>Data from the the project: "Change in soil carbon stocks and calculation of trends in total nitrogen and organic carbon in soil and C: N ratio", from Ministry of Environmental Protection and Energy, carried on by Croatian Geological Institute (HGI), the Croatian Forestry Institute (HŠI) and the Agricultural Land Agency (APZ).<ul><li>This dataset consists of two subsets:<ul><li>"azo_2013" - 2519 samples of topsoil (0-25 cm), from 1994 to 2004 for making of Geochemistry Atlas of Croatia</li><li>"azo_2016" - 742 locations were revisited during 2015-2016 and new samples are taken and analyzed in horizons 0-10 cm, 10-20 cm, 20-30 cm.</li></ul></li></ul></li><li>Network of piezometers</li></ul><h3>Description of sources&nbsp;</h3><h4>Martinović, J. and Vranković, A. (Editors), 1997. Baza podataka o hrvatskim tlima (Database of Croatian Soils)&nbsp;</h4><p>The database contains data on soil profiles and covers the total area of the Republic of Croatia. Only data accepted by external control are entered in the Database, as well as those profiles for which there is a minimum data. External control of data reliability was performed by comparing the genetical-morphological characteristics of the soil determined by field research and the data of laboratory soil analyses. The profiles for which the field and laboratory analyses are found to differ are rejected. In addition to data on soil properties, basic data on pedogenetic factors are given. The soil profiles surveyed in the period 1963-1996 are entered in the database. The majority of data come from the Basic Pedological Map of Croatia (Osnovna pedološka karta Hrvatske - OPKH) project. The following are entered in the Database: 1347 profiles in volume I and 851 profiles in volume II, a total of 2198 pedological profiles</p><h4>Spatial variability of trace and toxic metals in agricultural soils of Croatia, Project Leader: Marija Romić&nbsp;</h4><p>The problem of exposure of agricultural soils to different anthropogenic inputs of toxic metals, but also of other potentially toxic substances, has acquired global dimensions in the last decades. Besides atmospheric deposition, environmental dispersion of chemicals used in agriculture is an important factor directly affecting the natural soil functions, or indirectly endangering the biosphere by bioaccumulation and inclusion into the food chain. Metal concentrations in soil can be generally predicted starting with the element abundance in the parent material. The extent to which pedogenesis affects heavy metals distribution varies according to the prevailing factors affecting soil processes. Because of the toxicity to plants and animals, it is important to determine their content, forms and distribution. Such hypotheses may be tested by total metal content determination, as well as other elements relevant for geochemical valorization of the agricultural soils of Croatia. Thus, the spatial variability and baseline of elements in soils will be determined by means of relevant statistical and geostatistical methods. The maps of toxic metal distribution will be produced and the suitability of soils for agriculture will be assessed. GIS is increasingly used in environmental assessment studies because of its ability to superimpose different spatial information and to combine them with the results of statistical analysis, enabling thus the detection of complex spatial relationships among different parameters. Geostatistics and multivariate statistics has been widely used in geochemical studies to identify pollution sources and to apportion natural vs. anthropogenic contribution, establishing a geochemical background as well. The main objectives of the investigation are: (i) to provide a geochemical database relevant to the agricultural soils in Croatia; (ii) to provide a detailed information about the natural variability of the geochemical background which is pertinent to administrative and legal issues as well as to safety food production and environmental protection; (iii) presenting the influence of human and other environmental activities on the soil quality mainly regarding the toxic and trace metal contents, and (iv) we are going to observe the influence of natural conditions on regional differences which have been widely neglected so far, and have not been taken into account while national regulations and guidelines on soil toxic metal contents have been established.</p><h4>Change in soil carbon stocks and calculation of trends in total nitrogen and organic carbon in soil and C: N ratio&nbsp;</h4><p>The project is funded by the Fund for Environmental Protection and Energy Efficiency within the Program "Upgrading and Development of the Environmental Information System and Improving the Monitoring and Reporting System on the State of the Environment in the Republic of Croatia", Component 2: Improving the Monitoring and Reporting System on the State of the Environment Croatia; improving the system of data collection and exchange and developing methodologies for their processing in accordance with the guidelines of the UNFCCC and the Kyoto Protocol defined by the IPCC (Intergovernmental Panel on Climate Change).&nbsp;</p><p>The project holder is the Ministry of Environmental Protection and Energy, and the executors are the Croatian Geological Institute, the Croatian Forestry Institute and the Agricultural Land Agency.</p><p>In the period 2014-2017, field and laboratory research of soil conditions was conducted at 725 representative locations. General data on the location of sampling were collected, which contain administrative, locational, geographical and other data (relief, climatic and meteorological data, detailed data on land use and vegetation cover, description of surface soil properties).</p><p>Field soil sampling for each LULUCF land use category was performed according to a modified methodology described in the EU DG JRC (Joint Research Center) "Protocol for soil sampling to confirm changes in organic carbon stocks in the EU" by Stolbovoy et al. 2007 (Soil sampling protocol to certify the changes of organic carbon stock in mineral soil of the European Union - EU JRC). The protocol modifications aimed to ensure reporting under the UNFCCC and Kyoto protocols, i.e., to ensure compliance with the IPCC methodology. Soil sampling on forest land (FL) according to the JRC protocol is planned at two depths of 0-10 cm and 10 - 20 cm and an organic layer (list), but due to reporting requirements under the UNFCCC and Kyoto protocol, sampling was carried out at a depth of 20 - 30 cm. Land under crops (CL) was sampled at two depths (0-20 cm and 20-30 cm) and grasslands (GL), wetlands (WL), settlements (SL) and other land (OL) were sampled at three depths 0- 10, 10-20 and 20-30 cm. Geochemical analyzes were performed at depths of 0–10 and 20–30 cm for forest soils (FL) and for meadows and pastures (GL) while for soils under crops (CL) composite samples of 0–30 cm and 0–20 cm were analyzed.</p><h4>Network of piezometers</h4><p>To get a more accurate depth to bedrock parameter, positions of 812 piezometers are considered as they have at least 4 meters of depth to bedrock.</p><h3>Description of database</h3><p>Column names and descriptions:</p><p>Metadata columns:</p><p><strong>site_key </strong>- unique identifier that identifies sample in source database&nbsp;<br><strong>source_db</strong> - label of source database&nbsp;<br><strong>source_sampled</strong> - label of organization/team who sampled and analyzed data&nbsp;<br><strong>site_obsdate</strong> - year of taking sample&nbsp;<br><strong>longitude_decimal_degrees</strong> - longitude in degrees in WGS84 geographical projection&nbsp;<br><strong>latitude_decimal_degrees</strong> - latitude in degrees in WGS84 geographical projection&nbsp;<br><strong>pedon_completeness_index</strong> - quality factor (0-100)&nbsp;<br><strong>taxgrtgroup</strong> - classification of sample according to WBR 2014/2016 classification&nbsp;</p><p>Soil properties columns:</p><p>column name - property - measurement units - description<br><strong>oc</strong> - Carbon, Organic - % wt - CMS analyte. Organic carbon is a measure of all organic forms of carbon in the soil, including organic carbon within minerals.&nbsp;<br><strong>n_tot_ncs</strong> - Nitrogen, Total NCS - % wt - Total nitrogen is a measure of all organic and inorganic nitrogen, including that found in nitrogen minerals.<br><strong>ca_mehlich3</strong> - Calcium, Mehlich3 Extractable &nbsp;- mg/kg - The calcium extracted by the Mehlich III solution.&nbsp;<br><strong>k_mehlich3</strong> - Potassium, Mehlich3 Extractable - mg/kg - The potassium extracted by the Mehlich III solution.&nbsp;<br><strong>mg_mehlich3</strong> - Magnesium, Mehlich3 Extractable - mg/kg - The magnesium extracted by the Mehlich III solution.&nbsp;<br><strong>p_mehlich3</strong> - Phosphorus, Mehlich3 Extractable - mg/kg - The phosphorus extracted by the Mehlich III solution.&nbsp;<br><strong>cec_sum</strong> - Cation Exchange Capacity, Summary &nbsp; cmol(+)/kg - The effective cation exchange capacity is calculated by BASE_SUM+AL_KCL. It is not calculated if soluble salts are present. It is reported as meq per 100 grams on a &lt;2 mm base. CMS derived value default&nbsp;<br><strong>ec_satp</strong> - Electrical Conductivity , Saturation Extract - dS/m - The electrical conductivity of the saturation extract is used to estimate the concentration of salts in a sample, and provides inferences on cation concentration in solution and osmotic pressure. It is reported as mmhos per centimeter.&nbsp;<br><strong>caco3</strong> - Carbonates - % wt - Carbonate in the &lt; 2mm fraction is measured by CO2 evolution after acid treatment. It is reported as gravimetric percent CaCO3 on a &lt;2 mm base, even though carbonates of Mg, Na, K, and Fe may be present and react with the acid<br><strong>ph_h2o</strong> - pH, 1:1 Soil-Water Suspension - (NA) - The pH, 1:1 soil-water suspension is the pH of a sample measured in distilled water at a 1:1 soil:solution ratio. If wider ratios increase the pH, salts are indicated.&nbsp;<br><strong>ph_kcl</strong> - The pH, 1:1 soil-KCl suspension - (NA) - The pH, 1:1 soil-KCl suspension is the pH of a sample measured in 1.0N KCl at a 1:1 soil:solution ratio. If the pH in KCl &lt; pH in water, Al+++ is indicated.&nbsp;<br><strong>total_clay</strong> - Clay, Total - % wt - Total clay is the soil separate with &lt;0.002 mm particle diameter. Clay size carbonate is included. Total clay is reported as a weight percent of the &lt;2 mm fraction.&nbsp;<br><strong>total_silt</strong> - Silt, Total - % wt - Total silt is the soil separate with 0.002 to 0.05 mm particle size. It is reported as a gravimetric percent on a &lt;2 mm base.&nbsp;<br><strong>total_sand</strong> - Sand, Total - % wt - Total sand is the soil separate with 0.05 to 2.0 mm particle diameter. It is reported as a gravimetric percent on a &lt;2 mm base.&nbsp;<br><strong>wpg2</strong> - Coarse fragments - % wt - The weight fraction of particles with &gt;2 mm diameter is reported as a gravimetric percent on a whole soil base.&nbsp;<br><strong>db_od</strong> Bulk Density, &lt;2mm Fraction, Ovendry - g/cc - Bulk density, oven dry (105 C) is the weight per unit volume of the &lt;2 mm fraction, with volume measured on oven dry (105 C) natural fabric (clods). It is reported as grams per cubic centimeter on a &lt;2 mm base.&nbsp;<br><strong>dbr</strong> - Depth to bedrock - cm - Depth to the R horizon or similar</p>

opencc-by-4.0Nov 2023View details →
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Sample based prevalence data complementing the European Union One Health 2022 Zoonoses Report - Croatia

<p>This dataset contains monitoring data on zoonoses and zoonotic agents under the Directive 2003/99/EC. This Directive requires Member Sates (MSs) to collect, evaluate and report data on zoonoses and zoonotic agents. MSs can also report monitoring data and information on some other pathogenic microbiological agents in foodstuffs. Relevant EU legislation: Commission Regulation (EC) No 2073/2005,Commission Regulation (EC) No 1441/2007, Commission Regulation (EU) No 1086/2011,&nbsp;Commission Regulation (EU) No 209/2013, Commission Regulation(EU) No 217/2014.</p>

opencc-by-4.0Dec 2023View details →
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Croatia Krka Old-- Mill

Old Mill Building in Krka national park. Captured with iPad/iPhone. Optimized vor VR viewing. Source: Objaverse 1.0 / Sketchfab

opencc-byAug 2022View details →
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Antimicrobial resistance monitoring results complementing the European Union Summary Report on Antimicrobial Resistance in zoonotic and indicator bacteria from humans, animals and food in 2019/2020 – Croatia

<p>This dataset contains AMR monitoring results in animals and food at the isolate level pursuant to Article 9 of Directive 2003/99/EC and to Annex, part B, of Commission implementing Decision 2013/652/EU. In addition, the dataset includes any other results from isolates than the ones mentioned in the Commission implementing Decision 2013/652/EU. The quantitative minimum inhibitory concentration (MIC) data from dilution methods are included.</p> <p>Reporting authorities contributing to 2020 AMR data collection: Croatian Veterinary Institute</p>

opencc-by-4.0Mar 2022View details →
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Environmental effects of the December 2020 earthquake sequence near Petrinja, Croatia

<p>Those files (Spreadsheet of observations of coseismic deformation features, Surface rupture shapefile) are in support of the paper submitted to Geophysical Journal International. The data have been collected by the coauthors of this paper, implemented in the files by them, and the database has been processed and verified by SB, AT, SP.</p> <p>The complete of authors of the paper is as follows:</p> <p>S. Baize<sup>1</sup>, S. Amoroso<sup>2,3</sup>, N. Belić<sup>4</sup>, L. Benedetti<sup>5</sup>, P. Boncio<sup>2</sup>, M. Budić<sup>4</sup>, F.R. Cinti<sup>3</sup>, M. Henriquet<sup>5</sup>, P. Jam&scaron;ek Rupnik<sup>6</sup>, B. Kordić<sup>4</sup>, S. Marku&scaron;ić<sup>7</sup>, L. Minarelli<sup>3</sup>, D. Pantosti<sup>3</sup>, S. Pucci<sup>3</sup>, M. &Scaron;pelić<sup>4</sup>, A. Testa<sup>2</sup>, S. Valkaniotis<sup>8</sup>, M. Vukovski<sup>4</sup>, J. Atanackov<sup>6</sup>, J. Barbača<sup>4</sup>, M. Bavec<sup>6</sup>, R. Brajkovič<sup>6</sup>, V. Brčić<sup>4</sup>, M. Caciagli<sup>3</sup>, B. Celarc<sup>6</sup>, R. Civico<sup>3</sup>, P.M. De Martini<sup>3</sup>, R. Filjak<sup>4</sup>, F. Iezzi<sup>2</sup>, A. Moulin<sup>5</sup>, T. Kurečić<sup>4</sup>, M. M&eacute;tois<sup>9</sup>, R. Nappi<sup>3</sup>, A. Novak<sup>6,10</sup>, M. Novak<sup>6</sup>, B. Pace<sup>2</sup>, D. Palenik<sup>4</sup>, T. Ricci<sup>3</sup></p> <p><sup>1</sup> Institut de Radioprotection et de S&ucirc;ret&eacute; Nucl&eacute;aire, IRSN/PRP-ENV/SCAN/BERSSIN, 92262 Fontenay-Aux-Roses, France</p> <p><sup>2</sup> Universit&agrave; &ldquo;G. d&#39;Annunzio&rdquo; Chieti - Pescara, Via dei Vestini 31, 66100, Chieti, Italy</p> <p><sup>3</sup> Istituto Nazionale di Geofisica e Vulcanologia, Via di Vigna Murata 605, 00143 Rome, Italy</p> <p><sup>4</sup> Croatian Geological Survey, Department of Geology, Sachsova 2, Zagreb, 10000, Croatia</p> <p><sup>5</sup> Aix Marseille Univ, CNRS, IRD, INRAE, CEREGE, Aix-en-Provence, France</p> <p><sup>6</sup> Geological Survey of Slovenia, GeoZS, Dimičeva ulica 14, 1000 Ljubljana, Slovenia</p> <p><sup>7</sup> University of Zagreb, Faculty of Science, Department of Geophysics, Zagreb, Croatia</p> <p><sup>8</sup> Department of Civil Engineering, Polytechnic School, Democritus University of Thrace, 67100 Xanthi, Greece</p> <p><sup>9 </sup>Laboratoire de G&eacute;ologie de Lyon (LGLTPE), Universit&eacute; Claude Bernard Lyon 1, campus de La Doua, 69100 Villeurbane, France</p> <p><sup>10 </sup>University of Ljubljana, Faculty of Natural Sciences and Engineering, Department of Geology, Croatia</p>

opencc-by-4.0Jul 2021View details →
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Figure 1 in The fruit beauty moth, Lycia pomonaria (Hübner, 1790) (Lepidoptera: Geometridae) a new member of the moth fauna of Croatia

Figure 1. The locality of finding of Lycia pomonaria in Croatia (red circle).

opencc-by-4.0May 2016View details →
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Figure 2 in The fruit beauty moth, Lycia pomonaria (Hübner, 1790) (Lepidoptera: Geometridae) a new member of the moth fauna of Croatia

Figure 2. Male specimen of Lycia pomonaria from Ţutica forest, Croatia.

opencc-by-4.0May 2016View details →
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Figure. Sampling sites of blood sucking lice (Phthiraptera: Anoplura) in Croatia. in The blood sucking lice (Phthiraptera: Anoplura) of Croatia: review and new data

Figure. Sampling sites of blood sucking lice (Phthiraptera: Anoplura) in Croatia.

opencc-by-4.0Jun 2016View details →
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Figure 6 in Ecological and faunistic features of caddisflies (Insecta: Trichoptera) in different types of habitats in the Dinaric karst area (Central Croatia)

Figure 6. Dobra - spring (D1). A) before channelization (2010), B) after channelization (2020).

opencc-by-4.0Nov 2020View details →
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Figure 1 in Ecological and faunistic features of caddisflies (Insecta: Trichoptera) in different types of habitats in the Dinaric karst area (Central Croatia)

Figure 1. Map of the study area with sampling sites which correspond to the list in Tab. 1.

opencc-by-4.0Nov 2020View details →

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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.

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