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Quantification of recyclability indicators for three case studies
<p>Supplementary data table belonging to the original research publication entitled <em>Early-stage assessment of minor metal recyclability</em>.</p>
Figure 2. A in Mitochondrial Dna Sequence Data Indicate Evidence For Multiple Species Within Peromyscus Maniculatus
Figure 2. A) Phylogenetic tree generated using Bayesian (MrBayes; Huelsenbeck and Ronquist 2001), maximum likelihood (RAxML; Version 8.1.17, Stamatakis 2006), and parsimony methods (PAUP* v. 4.0a165, Swofford 2002) and DNA sequence data from the mitochondrial cytochrome-b gene. The topology depicted is from the Bayesian analysis. Clade probability values (≥ 0.95) for the Bayesian analysis are indicated by an asterisk (*) and are to the left of the first slash, bootstrap values for the maximum likelihood analysis are shown between the two slashes, and bootstrap values obtained from the parsimony analysis are to the right of the last slash. Line at bottom of figure depicts the nucleotide substitution rate per site per million years. B) Same phylogenetic tree as depicted in Figure 2A except unsupported nodes (C, G, and H) were collapsed.
Figure 4. Approximate distributions and associated divergence times for A in Mitochondrial Dna Sequence Data Indicate Evidence For Multiple Species Within Peromyscus Maniculatus
Figure 4. Approximate distributions and associated divergence times for A) Peromyscus maniculatus-like ancestor; B) P. melanotis-like ancestor; C) P. gambelii/keeni/sejugis/sp.-like ancestor; D) P. polionotus-like ancestor; E) P. sonoriensis-like ancestor; F) P. labecula and P. maniculatus - like ancestor; G) P. keeni/sp.-like ancestor; and H) P. keeni-like, P. gambelii-like, P. sejugis-like, and P. sp.-like ancestors. Divergence times were estimated from the BEAST analysis (Version 2.4, Bouckaert et al. 2014) of the mitochondrial cytochrome-b gene dataset (see Fig. 3). Shading schemes that correspond to species distributions are shown in the inset.
Figure 1 in Mitochondrial Dna Sequence Data Indicate Evidence For Multiple Species Within Peromyscus Maniculatus
Figure 1. Distribution of selected populations and species of the Peromyscus maniculatus species group from Canada, Mexico, and the United States. Shaded areas represent distributions of taxa (defined in figure insert) as originally defined by Hall (1981) and modified based on the results of this study. Closed circles represent collecting localities listed in the Appendix; note that multiple individuals may be represented by a single closed circle. White boxes with black stars indicate type localities for each taxon and triangles indicate localities where haplotypes representing P. sonoriensis were found to be in sympatry with samples of P. gambelii and P. labecula, respectively.
Figure 3 in Mitochondrial Dna Sequence Data Indicate Evidence For Multiple Species Within Peromyscus Maniculatus
Figure 3. Time-calibrated ultrametric tree obtained from the BEAST analysis (Version 2.4, Bouckaert et al. 2014) of the mitochondrial cytochrome-b gene dataset. Scale bars at nodes represent the 95% highest posterior densities and numbers associated to each node are the estimated divergence times in million years ago.
Text-fig. 4—Femur of Albertosaurus cf. A. lancensis (LACM 23845) in anterior aspect. Diagonal lines indicate broken surfaces. Bar represents 10 cm. in An albertosaur from the Hell Creek formation of Montana
Text-fig. 4—Femur of Albertosaurus cf. A. lancensis (LACM 23845) in anterior aspect. Diagonal lines indicate broken surfaces. Bar represents 10 cm.
Multidimensional impact assessment of a large collection of books using PlumX: methodology, technical limitations and indicators analysis [Complementary material to manuscript]
<p>The main purpose of this macro-study is to shed light on the broad impact of books. For this purpose, the impact a very large collection of books (more than 200,000) has been analysed by using PlumX, an analytical tool providing a great number of different metrics provided by various tools. Furthermore, the study focuses on the evolution of the most significant measures and indicators over time. The results show usage counts in comparison to the other metrics are quantitatively predominant. Catalogue holdings and reviews represent a book’s most characteristic measures deriving from its increased level of impact in relation to prior results. Our results also corroborate the long half-life of books within the scope of all metrics, excluding views and social media. Despite of some disadvantages, PlumX has proved to be a very helpful and promising tool for assessing the broad impact of books, especially because of how easy it is to enter the ISBN directly as well as its algorithm to aggregate all the data generated by the different ISBN variations.</p>
→ Fig. 2. Representative skeletal elements of ornithosuchid archosaur Dynamosuchus collisensis gen. et sp. nov. (CAPPA/UFSM 0248) from Janner outcrop, Carnian, Late Triassic. A. Selected skull bones in left lateral view. B. Reconstruction of the skull. C. Skull in ventral view. D. Left quadrate and quadratojugal in posterodorsal view. E. Parabasisphenoid in left lateral view. F. Neural arch of an anterior cervical vertebra in anterior view. G. Centrum of a cervical vertebra in left lateral view. H. Right osteoderm in dorsal view. I. Neural arch of an anterior dorsal vertebra in left lateral view. J. Left ilium in lateral view. L. Right humerus in anterior view. M. Right forearm in medial view. N. Left manus in dorsal view. O. Right (reversed) pubis in lateral view. P. Left femur in anterior view. Q. Left fibula in lateral view. Some unpreserved portions are modified from Baczko et al. in press, for the reconstruction of the skeleton of CAPPA/UFSM 0248 (preserved elements indicated in orange) (K). Scale bars 20 mm. in The first ornithosuchid from Brazil and its macroevolutionary and phylogenetic implications for Late Triassic faunas in Gondwana
→ Fig. 2. Representative skeletal elements of ornithosuchid archosaur Dynamosuchus collisensis gen. et sp. nov. (CAPPA/UFSM 0248) from Janner outcrop, Carnian, Late Triassic. A. Selected skull bones in left lateral view. B. Reconstruction of the skull. C. Skull in ventral view. D. Left quadrate and quadratojugal in posterodorsal view. E. Parabasisphenoid in left lateral view. F. Neural arch of an anterior cervical vertebra in anterior view. G. Centrum of a cervical vertebra in left lateral view. H. Right osteoderm in dorsal view. I. Neural arch of an anterior dorsal vertebra in left lateral view. J. Left ilium in lateral view. L. Right humerus in anterior view. M. Right forearm in medial view. N. Left manus in dorsal view. O. Right (reversed) pubis in lateral view. P. Left femur in anterior view. Q. Left fibula in lateral view. Some unpreserved portions are modified from Baczko et al. in press, for the reconstruction of the skeleton of CAPPA/UFSM 0248 (preserved elements indicated in orange) (K). Scale bars 20 mm.
Рис. 1. Карта иЗученного побереЖьЯ Северной Кореи (пров. Хамгён-пукто) с укаЗанием населенных пунктов Чипсам и ЁмбудЖин и видами берегов: а, b, c – побереЖье вблиЗи Чипсам; d, e, f – побереЖье вблиЗи ЁмбудЖин. Fig. 2. A map of the area studied along the coast of North Korea (North Hamgyong Province) with indication of two sites, Jipsam and Yombunjin, and coastline views: а, b, c – coasts of Jipsam; d, e, f – coasts of Yombunjin. in On the bivalve molluscan fauna of North Hamgyong Province (North Korea)
Рис. 1. Карта иЗученного побереЖьЯ Северной Кореи (пров. Хамгён-пукто) с укаЗанием населенных пунктов Чипсам и ЁмбудЖин и видами берегов: а, b, c – побереЖье вблиЗи Чипсам; d, e, f – побереЖье вблиЗи ЁмбудЖин. Fig. 2. A map of the area studied along the coast of North Korea (North Hamgyong Province) with indication of two sites, Jipsam and Yombunjin, and coastline views: а, b, c – coasts of Jipsam; d, e, f – coasts of Yombunjin.
parallel-fibered bone; A5, osteocyte lacunae with well-preserved canaliculi; B3, osteocyte lacunae lacking canaliculi; B4, B5, growth pattern with preserved residuals of the thick annuli and zones (zo I–III) and thin annuli and zones (zo IV–VII); A6, growth pattern with preserved thin annuli and thick zones (zo I–IV), the dotted line marks the border between the perimedullary region and the cortex. Arrows in A5 and B3 indicate osteocyte lacunae; in B4, B5, and A6 indicate the annuli. Growth pattern in B4 figured on the lateral section side, in B5 and A5 on the ventral side; note the cortex thickness variation between B4 and B5. A1, A3, A4, A6, B1, B4, B5 in polarized light and A2, A5, B2, B3 in normal transmitted light. Abbreviations: an, annulus; ec, erosion cavity; pmr, perimedullary region; pos, primary osteon; sos, secondary osteon; zo, zone. in Palaeohistology helps reveal taxonomic variability in exceptionally large temnospondyl humeri from the Upper Triassic of Krasiejów, SW Poland
parallel-fibered bone; A5, osteocyte lacunae with well-preserved canaliculi; B3, osteocyte lacunae lacking canaliculi; B4, B5, growth pattern with preserved residuals of the thick annuli and zones (zo I–III) and thin annuli and zones (zo IV–VII); A6, growth pattern with preserved thin annuli and thick zones (zo I–IV), the dotted line marks the border between the perimedullary region and the cortex. Arrows in A5 and B3 indicate osteocyte lacunae; in B4, B5, and A6 indicate the annuli. Growth pattern in B4 figured on the lateral section side, in B5 and A5 on the ventral side; note the cortex thickness variation between B4 and B5. A1, A3, A4, A6, B1, B4, B5 in polarized light and A2, A5, B2, B3 in normal transmitted light. Abbreviations: an, annulus; ec, erosion cavity; pmr, perimedullary region; pos, primary osteon; sos, secondary osteon; zo, zone.
РИС. 7. НедостаточнаЯ промывка раковин глохидиев после очиЩениЯ в Щелочи (5% КОН). А, С. «Замыленность» пор наружной поверхности створок (Cristaria tuberculata, оЗ. Ханка, Приморский кр.). B. Остаток Щелочи, выпавШий кристаллами на поверхности личинки (Unio dembeae, р. Дуко, ЭфиопиЯ). D. Капли раствора Щелочи (укаЗаны стрелками) на поверхности Шипов крючка (Nodularia douglasiae, р. Гион, о-в Хонсю, ЯпониЯ). МасШтаб 5 мкм (А, С), 2 мкм (B, D). Микроскоп Zeiss MERLIN, напыление углеродом (А, В), хромом (С, D). FIG. 7. Insufficient rinsing of glochidia after cleaning in alkali (5% KOH). A, C. «Blurredness» of the exterior valve pores (Cristaria tuberculata, Khanka Lake, Primorsky Krai). B. Precipitation of alkali crystals on the exterior glochidia surface (Unio dembeae, Duko River, Ethiopia). D. Drops of alkali (indicated by arrows) on the hook spines (Nodularia douglasiae, Gion River, Honshu Island, Japan). Scale bars 5 μm (A, C), 2 μm (B, D). Zeiss MERLIN microscope, sputter coating with carbon (A, B) and chromium (C, D). in Методика подготовки раковин глохидиев (Bivalvia, Unionidae) длЯ работы на сканируюЩем Электронном микроскопе
РИС. 7. НедостаточнаЯ промывка раковин глохидиев после очиЩениЯ в Щелочи (5% КОН). А, С. «Замыленность» пор наружной поверхности створок (Cristaria tuberculata, оЗ. Ханка, Приморский кр.). B. Остаток Щелочи, выпавШий кристаллами на поверхности личинки (Unio dembeae, р. Дуко, ЭфиопиЯ). D. Капли раствора Щелочи (укаЗаны стрелками) на поверхности Шипов крючка (Nodularia douglasiae, р. Гион, о-в Хонсю, ЯпониЯ). МасШтаб 5 мкм (А, С), 2 мкм (B, D). Микроскоп Zeiss MERLIN, напыление углеродом (А, В), хромом (С, D). FIG. 7. Insufficient rinsing of glochidia after cleaning in alkali (5% KOH). A, C. «Blurredness» of the exterior valve pores (Cristaria tuberculata, Khanka Lake, Primorsky Krai). B. Precipitation of alkali crystals on the exterior glochidia surface (Unio dembeae, Duko River, Ethiopia). D. Drops of alkali (indicated by arrows) on the hook spines (Nodularia douglasiae, Gion River, Honshu Island, Japan). Scale bars 5 μm (A, C), 2 μm (B, D). Zeiss MERLIN microscope, sputter coating with carbon (A, B) and chromium (C, D).
РИС. 9. ВнеШний вид раковин глохидиев (Sinanodonta woodiana, р. Одра, ПольШа), очиЩенных с помоЩью Щелочи (5% KOH). A. Темные пЯтна на поверхности, свидетельствуюЩие о недостаточной промывке после Щелочи. B. ХороШо очиЩеннаЯ и правильно промытаЯ раковина. МасШтаб 50 мкм. Микроскоп Zeiss EVO 40, напыление Золотом. FIG. 9. Glochidia shells (Sinanodonta woodiana, Odra River, Poland) cleaned in alkali (5% KOH). A. Dark spots on the shell surface, indicating insufficient rinsing after alkali. B. Properly cleaned and rinsed shell. Scale bars 50 μm. Zeiss EVO 40 microscope, sputter coating with gold. in Методика подготовки раковин глохидиев (Bivalvia, Unionidae) длЯ работы на сканируюЩем Электронном микроскопе
РИС. 9. ВнеШний вид раковин глохидиев (Sinanodonta woodiana, р. Одра, ПольШа), очиЩенных с помоЩью Щелочи (5% KOH). A. Темные пЯтна на поверхности, свидетельствуюЩие о недостаточной промывке после Щелочи. B. ХороШо очиЩеннаЯ и правильно промытаЯ раковина. МасШтаб 50 мкм. Микроскоп Zeiss EVO 40, напыление Золотом. FIG. 9. Glochidia shells (Sinanodonta woodiana, Odra River, Poland) cleaned in alkali (5% KOH). A. Dark spots on the shell surface, indicating insufficient rinsing after alkali. B. Properly cleaned and rinsed shell. Scale bars 50 μm. Zeiss EVO 40 microscope, sputter coating with gold.
Gajderowicz, B., Fisher, A., Mago, V.: (preperation) "Graph pruning for identifying COVID-19 misinformation dissemination patterns and indicators on Twitter/X"
<p>This dataset is for the repository <a href="https://github.com/bgajdero/social-graph-analysis-2024">https://github.com/bgajdero/social-graph-analysis-2024</a>.</p>
SUPER MoRRI - Secondary datasets for RRI indicators
<p>This file lists the secondary data that was compiled and produced as part of the Horizon 2020 SUPER MoRRI project (Scientific understanding and provision of an enhanced and robust monitoring system for RRI).</p> <p>The data is contained in the file: “SUPER_MoRRI secondary data.xls”</p> <p>Descriptions of each variable can be found in “Appendix A – Secondary Data Fiches” in <br>SUPER MoRRI Deliverable 2.3: Second Responsible Research and Innovation Monitoring Report (MR2)</p> <p>In the excel file, data for each variable is included in a separate sheet. The list below links each sheet name with the variables (see the data fiches in SUPER MoRRI Deliverable 2.3 for detailed information on each variable)</p> <p>Sheet name: Sh_Fem_Res All sectors; Variable: Share of female researchers by sectors of performance (all sectors)<br>Sheet name: Sh_Fem_Res Business; Variable: Share of female researchers by sectors of performance (business enterprise sector<br>Sheet name: Sh_Fem_Res Higher education; Variable: Share of female researchers by sectors of performance (higher education sector)<br>Sheet name: Sh_Fem_Res Government; Variable: Share of female researchers by sectors of performance (government sector)<br>Sheet name: IntraRD per inhabitant; Variable: Intramural R&D expenditure per inhabitant<br>Sheet name: IntraRD percent GDP; Variable: Intramural R&D expenditure as a percentage of GDP<br>Sheet name: EPO patent applications; Variable: Patent applications to the EPO by priority year per million inhabitants <br>Sheet name: Glass Ceiling Index; Variable: The Glass Ceiling Index<br>Sheet name: Diss index, Higher education; Variable: Dissimilarity Index (higher education sector)<br>Sheet name: Diss index, Government; Variable: Dissimilarity Index (government sector)<br>Sheet name: Gender dimension in research ; Variable: Percentage of publications with a sex or gender dimension <br>Sheet name: Gender pay gap; Variable: Gender pay gap within scientific research & development <br>Sheet name: WtM, Inventorships; Variable: The women to men ratio in number of inventorships<br>Sheet name: WtM, Auhtorship ; Variable: The women to men ratio in number of corresponding authorships<br>Sheet name: Interest scientific discoveries; Variable: Interest in scientific discoveries <br>Sheet name: Feeling science efficacy ; Variable: Feeling of science efficacy<br>Sheet name: Variable: Scientific literacy <br>Sheet name: Variable: Trust in scientists <br>Sheet name: Engagement meetings debates; Variable: Engagement and co-creation (meetings and debates)<br>Sheet name: Engagement demonstrations ; Variable: Engagement and co-creation (petitions and demonstrations)<br>Sheet name: OA, All pubs; Variable: Percentage of open access publications <br>Sheet name: OA, Green pubs; Variable: Percentage of open access publications (Green)<br>Sheet name: OA, Gold pubs; Variable: Percentage of open access publications (Gold)<br>Sheet name: OA, Hybrid pubs; Variable: Percentage of open access publications (Hybrid)<br>Sheet name: OA, Bronze pubs; Variable: Percentage of open access publications (Bronze)<br>Sheet name: Industry Collaboration; Variable: Percentage of co-publications with industry</p>
The compiled 8-year dataset (2012-2019) consisting of weekly river water quality indicators (CODMn, DO, NH3-N and PH ) in majors 10 sub-basin of Yangtze river based on imputation of machine learning
<p>Water quality is significantly affected by global climate change and human activities, with diverse critical factors shaping its state in rivers and lakes. In the study, we utilized four indicators to characterize water quality: the physical water quality parameters included dissolved oxygen (DO, mg/L) and PH, while the chemical water quality parameters encompassed chemical oxygen demand (CODMn, mg/L) and ammonia nitrogen (NH3-N, mg/L). This study establishes weekly water quality models for typical 10 sub-basins along the Yangtze River using machine learning methods, which incorporate the impacts of hydro-meteorological and anthropogenic factors.These 10 sub-basins represent the principal tributaries of the Yangtze River basin and include Dongting Lake, the upper Han River, the lower Han River, the Jialing River, the Jinsha River, the Li River, the Min River, Poyang Lake, the Xiang River, and the Yuan River. This data collection was performed by National Environmental Monitoring Centre (http://www.cnemc.cn/sssj/szzdjczb/index_1.shtml). The water quality indicators discussed in this study are assessed in accordance with the national standard GB 3838-2002. Please refer to the paper for details.</p>
Variable species establishment in response to microhabitat indicates different likelihoods of climate-driven range shifts
<p>Climate change is causing geographic range shifts globally, and understanding the factors that influence species' range expansions is crucial for predicting future biodiversity changes. A common, yet untested, assumption in forecasting approaches is that species will shift beyond current range edges into new habitats as they become macroclimatically suitable, even though microhabitat variability could have overriding effects on local population dynamics. We aim to better understand the role of microhabitat in range shifts in plants through its impacts on establishment by Q1) examining microhabitat variability along large macroclimatic (i.e., elevational) gradients, Q2) testing which of these microhabitat variables explain plant recruitment and seedling survival, and Q3) predicting microhabitat suitability beyond species range limits. We transplanted seeds of 25 common tree, shrub, forb, and graminoid species across and beyond their current elevational ranges in the Washington Cascade Range, USA, along a large elevational gradient spanning a broad range of macroclimates. Over five years, we recorded recruitment, survival, and microhabitat (i.e., high resolution soil, air, and light) characteristics rarely measured in biogeographic studies. We asked whether microhabitat variables correlate with elevation, which variables drive species establishment, and whether microhabitat variables important for establishment are already suitable beyond leading range limits. We found that only 30% of microhabitat parameters covaried with elevation. We further observed extremely low recruitment and moderate seedling survival, and these were generally only weakly explained by microhabitat. Moreover, species and life stages responded in contrasting ways to soil biota, soil moisture, temperature, and snow duration. Microhabitat suitability predictions suggest that distribution shifts are likely to be species-specific, as different species have different suitability and availability of microhabitat beyond their present ranges, thus calling into question low-resolution macroclimatic projections that will miss such complexities. We encourage further research on species responses to microhabitat and including microhabitat in range shift forecasts.</p>
Data from: Oxidative status: A general but overlooked indicator of welfare across animal species?
<p>Datasets resulting from the review process aiming to quantify the use of markers of oxidative status in animal welfare studies and in adjacent fields focused on wild animals (ecophysiology, conservation physiology). Datasets used for the metanalyses aiming to examine variation in markers of oxidative status across three conditions associated with a negative valence (social isolation, noise exposure, predation exposure).</p>
Рис. 1. Αиния маршрута; цифры — места, гΑе быΛи отмечены особи бурого меΑвеΑя во время учетов с вертоΛета 22.05.2018. РезуΛьтаты учетов бурого меΑвеΑя на о. ЗавьяΛова с вертоΛета «Еврокоптер 120». 11:55 выΛет с нефтепирса г. МагаΑана, 12:14 поΑΛет к острову, 12:20 (1) отмечен первый моΛоΑой меΑвеΑь на террасе, 12:52 (2) отмечен оΑин взросΛый меΑвеΑь, 13:06 (3, 4) отмечены Αва взросΛых меΑвеΑя, 13:08 (5, 6, 7) отмечены три взросΛых меΑвеΑя, 13:18 (8) отмечен оΑин взросΛый меΑвеΑь. 13:56 переΛет в гороΑ МагаΑан Fig. 1. Route line; the figures indicate areas where brown bears were seen during the helicopter surveys on 22 May 2018. The results of the brown bear surveys on Zavyalov island from the Eurocopter 120 helicopter. 11:55 departure from the oil pier of Magadan, 12:14 hovering near the island, 12:20 (1) the first young bear identified on the terrace, 12:52 (2) one adult bear identified, 13:06 (3, 4) two adult bears identified, 13:08 (5, 6, 7) three adult bears identified, 13:18 (8) one adult bear identified, 13:56 Flight to Magadan in Brown bear (Ursus arctos) of Zavyalov Island (Sea of Okhotsk): Abundance and possible migration routes
Рис. 1. Αиния маршрута; цифры — места, гΑе быΛи отмечены особи бурого меΑвеΑя во время учетов с вертоΛета 22.05.2018. РезуΛьтаты учетов бурого меΑвеΑя на о. ЗавьяΛова с вертоΛета «Еврокоптер 120». 11:55 выΛет с нефтепирса г. МагаΑана, 12:14 поΑΛет к острову, 12:20 (1) отмечен первый моΛоΑой меΑвеΑь на террасе, 12:52 (2) отмечен оΑин взросΛый меΑвеΑь, 13:06 (3, 4) отмечены Αва взросΛых меΑвеΑя, 13:08 (5, 6, 7) отмечены три взросΛых меΑвеΑя, 13:18 (8) отмечен оΑин взросΛый меΑвеΑь. 13:56 переΛет в гороΑ МагаΑан Fig. 1. Route line; the figures indicate areas where brown bears were seen during the helicopter surveys on 22 May 2018. The results of the brown bear surveys on Zavyalov island from the Eurocopter 120 helicopter. 11:55 departure from the oil pier of Magadan, 12:14 hovering near the island, 12:20 (1) the first young bear identified on the terrace, 12:52 (2) one adult bear identified, 13:06 (3, 4) two adult bears identified, 13:08 (5, 6, 7) three adult bears identified, 13:18 (8) one adult bear identified, 13:56 Flight to Magadan
Рис. 2. Река БоΛьшая Пёра, ниже устья реки Юхта Fig. 2. The Bolshaya Pyora River, below the mouth of the Yukhta River in The Taxonomic Composition And Quantitative Indicators Of Zoobenthos In The Downstream Of The Bolshaya Pyora River (Zeya River Basin, Amur Region)
Рис. 2. Река БоΛьшая Пёра, ниже устья реки Юхта Fig. 2. The Bolshaya Pyora River, below the mouth of the Yukhta River
Рис. 1. Карто-схема реки БоΛьшая Пёра с указанием мест отбора проб (обозначены кружками) Fig. 1. Maps of the Bolshaya Pyora River with sampling locations (marked by circles) in The Taxonomic Composition And Quantitative Indicators Of Zoobenthos In The Downstream Of The Bolshaya Pyora River (Zeya River Basin, Amur Region)
Рис. 1. Карто-схема реки БоΛьшая Пёра с указанием мест отбора проб (обозначены кружками) Fig. 1. Maps of the Bolshaya Pyora River with sampling locations (marked by circles)
ScienceDex guides
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These curated guides explain access requirements, typical timelines, costs, and reuse considerations for widely used research datasets.
Allen Brain Atlas
Allen Brain Atlas is an Allen Institute collection of brain map atlases, datasets, APIs, and analysis tools covering mouse, human, and non-human primate brain resources.
Annotated Behaviour and Observability Dataset (ABODe)
ABODe is a University of Edinburgh DataShare dataset for behavior classification in group-housed mice using home-cage video, identities, bounding boxes, ground-plate positions, and annotator labels.
DANDI Archive for NWB datasets
DANDI is a BRAIN Initiative archive for publishing and sharing neurophysiology data, including electrophysiology, optophysiology, and behavioral data packaged as NWB and related standards.
International Brain Laboratory public data
The International Brain Laboratory public data releases expose standardized mouse decision-making experiments, including Neuropixels recordings, widefield calcium imaging, behavior, and session metadata accessed through the ONE API.
OpenNeuro
OpenNeuro is a free, open platform for sharing neuroimaging datasets, with public search, dataset pages, and download paths for web, S3, DataLad, and the OpenNeuro CLI.