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Figure 1 in New directions in weed management and research using 3D imaging
Figure 1. Use of images taken from different angles to create a 3D reconstruction in structure-from-motion (SfM; top) vs. stereo-vision photogrammetry (bottom).
Fig. 2 in Multi-Criteria Decision Analysis as a tool to extract fishing footprints: application to small scale fisheries and implications for management in the context of the Maritime Spatial Planning Directive
Fig. 2: Flowchart of steps and methods followed (AHP: Analytic Hierarchy Process, FM: Fuzzy Membership).
Fig. 7 in Multi-Criteria Decision Analysis as a tool to extract fishing footprints: application to small scale fisheries and implications for management in the context of the Maritime Spatial Planning Directive
Fig. 7: Spatial representation of the Fishing pressure index from the small scale coastal fishery (FPc).
FTIR Microscopy for Direct Observation of Conformational Changes on Immobilized ω-Transaminase: Effect of Water Activity and Organic Solvent on Biocatalyst Performance
<p>Enzyme immobilization is a key strategy to expand the scope of enzyme applications and to enable the recycling of biocatalysts, resulting in greener and more cost-efficient processes. The full exploitation of the technology advantages is strictly connected to the optimal selection of the carriers and the rational development of the immobilization protocol. The present study achieved such objectives by investigating the activity of a ω-transaminase in organic solvent (toluene) upon immobilization on commercially controlled porosity glass carriers (EziG™) with diverse porosity and surface functionalization. In addition to more conventional wet-chemistry approaches and confocal microscopy, infrared microspectroscopy and imaging were exploited to highlight the enzyme distribution in a label-free manner and provide details on the immobilized enzyme's conformation with respect to the native form. Contrary to what could be expected, the highest activity of the enzyme in organic solvent was achieved for the immobilization protocol on the most hydrophilic support that more severely affects the enzyme secondary structure, promoting a beta-sheet rich folding. Experimental data show that values of water activity above 0.90 in the reaction system had a positive effect on the efficiency of the transaminase reaction. The present study represents the first example of rational development of immobilization protocols relying on direct observation of the enzyme conformation upon immobilization, shedding light on the mutual interaction between the diverse process parameters and the carrier properties.</p>
Data and fitting script for "Direct measurement of a sin(2φ) current phase relation in a graphene superconducting quantum interference device"
<p>This repository contains data and Python analysis scripts used for the publication "Direct measurement of a sin(2\phi) current phase relation in a graphene superconducting quantum interference device (https://doi.org/10.48550/arXiv.2405.13642).</p> <p>The repository is organized as follows: the raw data are encapsulated in a QCoDes database (https://microsoft.github.io/Qcodes/) named 'D-SQUID-06.db'. Post-treated critical current data are included as .csv files and are indexed by measurement ids.</p> <p>The principal analysis is realized in the Jupyter notebook 'Fits_and_Figures.ipynb', which includes all article figures as well as fit functions for fitting both critical currents Ic- and Ic+ simulatenously, first using analytical expression from equation 3 then using numerical expression from equation 5. All fits mentionned in the article are performed there. The repository includes a generic notebook "Extract_Critical_Current.ipynb" used to explore the raw data in the Qcodes database and features an enhanced peak detection script that we used to automatically extract critical current data despite having some artifacts on raw differential conductance versus bias current and magnetic field.</p> <p>We acknowledge the contribution of R. Kerjouan for developing the Python fitting script.</p>
Data accompanying "Unipolar Quantum Optoelectronics for High Speed Direct Modulation and Transmission in 8-14 µm Atmospheric Window"
<p>This dataset contains measurement data for the results presented in "Unipolar Quantum Optoelectronics for High Speed Direct Modulation and Transmission in 8-14 µm Atmospheric Window".</p>
Dataset: Direct Digital Holdings, Inc. (DRCT) Stock Performance
This dataset provides historical stock market performance data for specific companies. It enables users to analyze and understand the past trends and fluctuations in stock prices over time. This information can be utilized for various purposes such as investment analysis, financial research, and market trend forecasting.
Supplementary data for "Undergraduate Gender Diversity and the Direction of Scientific Research" (PART 3)
<p>Supplementary data for "Undergraduate Gender Diversity and the Direction of Scientific Research" (PART 3)</p> <p>Contains publicly available data from:</p> <ul> <li>Higher Education Research Institute. 1966–2006. “Cooperative Institutional Research Program(CIRP) Data Archives of the Freshman Survey Trends from 1966 to 2006.”</li> <li>National Center for Science and Engineering Statistics. 1972–1990. “Higher Education Research and Development Survey (HERD).</li> <li>U.S. National Center for Education Statistics. 1993. 120 Years of American Education: A Statistical Portrait. Washington, DC:U.S. Department of Education.</li> <li>U.S. National Center for Education Statistics. 2005. “Digest of Education Statistics, 2005.”</li> <li>U.S. National Center for Education Statistics. 2019. “Digest of Education Statistics, 2019.”</li> </ul> <p>To replicate the results in "Undergraduate Gender Diversity and the Direction of Scientific Research", unzip all folders in this repository and place all files and folders (except "PapersFieldsofStudy.txt.gz") in "data/raw". AEA Data and Code Repository openicpsr-204361 shows the expected file structure. </p> <p>Additionally, this repository contains "PapersFieldsofStudy.txt.gz" from Microsoft Academic Graph data (April 2018 Extract) used for "Undergraduate Gender Diversity and the Direction of Scientific Research." To replicate the results in "Undergraduate Gender Diversity and the Direction of Scientific Research", please decompress and place "PapersFieldsofStudy.txt.gz" into "data/raw/MAG/". The associated code repository can be found AEA Data and Code Repository openicpsr-204361.</p> <p>The attribution license of the Microsoft Academic Graph is <a href="https://opendatacommons.org/licenses/by/1-0/">ODC-BY</a></p> <p>Please cite the following paper in publications and reports using the Microsoft Academic Graph:</p> <p>Arnab Sinha, Zhihong Shen, Yang Song, Hao Ma, Darrin Eide, Bo-June (Paul) Hsu, and Kuansan Wang. 2015. An Overview of Microsoft Academic Service (MA) and Applications. In Proceedings of the 24th International Conference on World Wide Web (WWW '15 Companion). ACM, New York, NY, USA, 243-246. DOI=http://dx.doi.org/10.1145/2740908.2742839</p> <p> </p>
Рис. 3. Схема миграций виΑов рыб, участвующих в современной Αинамике ихтиофауны на территории НТТ: 1 — разΛивы; 2 — намывы. Черным цветом обозначены направΛения миграций из реки Туманной; красным — из оз. Хасан и РазΛивов; синим — с мест зимовки в реках южного Приморья; зеΛеным — сезонные миграции из южных морей Fig. 3. Scheme of migration of fish species involved in the modern dynamics of ichthyofauna on the territory of LRT: 1 — spills; 2 — alluvial. Black color indicates the direction of migration from the Tumannaya river; red — from lake Khasan and spills; blue — from wintering places in the rivers of southern Primorye; green — seasonal migration from the south seas in Transboundary Migration And The Local Constraints In The Dynamic Of Fish Fauna In The Lower Reaches Of Tumannaya River
Рис. 3. Схема миграций виΑов рыб, участвующих в современной Αинамике ихтиофауны на территории НТТ: 1 — разΛивы; 2 — намывы. Черным цветом обозначены направΛения миграций из реки Туманной; красным — из оз. Хасан и РазΛивов; синим — с мест зимовки в реках южного Приморья; зеΛеным — сезонные миграции из южных морей Fig. 3. Scheme of migration of fish species involved in the modern dynamics of ichthyofauna on the territory of LRT: 1 — spills; 2 — alluvial. Black color indicates the direction of migration from the Tumannaya river; red — from lake Khasan and spills; blue — from wintering places in the rivers of southern Primorye; green — seasonal migration from the south seas
Рис. 2. Низина Λевобережья НТТ в виΑе параΛΛеΛьных берегу моря ваΛов и небоΛьших понижений, вытянутых в северо-восточном направΛении, с характерной раститеΛьностью Fig. 2. The lowland of the left Bank of the LRT in the form of parallel to the seashore shafts and small depressions, elongated in a North-Eastern direction, with characteristic vegetation in Transboundary Migration And The Local Constraints In The Dynamic Of Fish Fauna In The Lower Reaches Of Tumannaya River
Рис. 2. Низина Λевобережья НТТ в виΑе параΛΛеΛьных берегу моря ваΛов и небоΛьших понижений, вытянутых в северо-восточном направΛении, с характерной раститеΛьностью Fig. 2. The lowland of the left Bank of the LRT in the form of parallel to the seashore shafts and small depressions, elongated in a North-Eastern direction, with characteristic vegetation
Figure 1 in Direct seeding as a recruitment alternative for the threatened tropical palm Syagrus coronata (Mart.) Beccari in Brazilian dry forest
Figure 1. Effects of habitat and defleshing treatments on the seed fate of Syagrus coronata after 240 days during two years of experiment.
Fig. 3 in Neurogenesis in directly and indirectly developing enteropneusts: of nets and cords
Fig. 3 Ultrastructural details of the developing nervous system Balanoglossus misakiensis. a Sagittal section of an Agassiz stage larva of B. misakiensis. b Sagittal section of a 2-gill-slit juvenile of B. misakiensis. c Ultrastructural detail of the red-marked box in a showing a continuous layer of neurites of 4–6-μm thickness in the Agassiz stage. Inset color-coded image of the micrograph shown in c. d Ultrastructural detail of the red-marked box in b showing only individual basiepidermal
Fig. 7 in Neurogenesis in directly and indirectly developing enteropneusts: of nets and cords
Fig. 7 Ultrastructural details of the developing nervous system in Saccoglossus kowalevskii. a Sagittal section of a 1-gill-slit hatchling of S. kowalevskii. b Ultrastructural detail of the red-marked box in a showing a continuous layer of neurites of 2–4-μm thickness. c Colorcoded image of the micrograph shown in b. d Sagittal section of a 2- gill-slit juvenile of S. kowalevskii. e Ultrastructural detail of the redmarked box in c showing only single and scattered, small neurite
Fig. 1 in Neurogenesis in directly and indirectly developing enteropneusts: of nets and cords
Fig. 1 Phylogenetic relationships of major metazoan taxa compiled from recent molecular analyses (i.e., Hejnol et al. 2009; Philippe et al. 2011). Schematic representation of the adult nervous system is included for each taxon. For more information, see text
Fig. 2 in Neurogenesis in directly and indirectly developing enteropneusts: of nets and cords
Fig. 2 Neurogenesis in metamorphosing stages of B. misakiensis. b, c, e–k Z-projections of confocal microscopy image stacks. a, d Scanning electron micrographs. Anterior is to the top. a SEM of early metamorphosing stage (Spengel) from lateral left. Arrowhead points to the dorsolateral slit-like depression. b Overview of the serotonin-LIR nervous system (NS) in Spengel stage, view from left. Numerous serotonin-LIR neurons are part of the apical organ. Note the serotonin-LIR opisthotroch neurite ring. c Overview of the serotonin-LIR NS of a late metamorphosing stage (Agassiz), dorsal view. d Dorsal view of metamorphosing Agassiz stage. e Detail showing the developing 5-HT+ nervous plexus in the postoral region of the Spengel stage. f Close-up of the 5-HT+ apical organ
Aerodynamic Roughness Controlled by Wind Direction, with Implications for Glacial Surface Energy Balance and Melt Rate
<p>This repository includes raw datasets, Python scripts, and output data products associated with the MRes project '<span>Aerodynamic Roughness Controlled by Wind Direction, with Implications for Glacial Surface Energy Balance and Melt Rate</span>', by Josh Abrahams, University of Leeds. </p>
Fig. 4 in Direction and timing of dispersal of Scirtothrips dorsalis (Thysanoptera: Thripidae) on select ornamental host plant species in south Florida
Fig. 4. Flight behavior of Scirtothrips dorsalis during the day. Mean hourly captures of adults at (A) greenhouse and (B) field sites of TREC and MREC by the time sampled and cumulative degree-hours. Symbols represent means ± SD. An asterisk (*) indicates a significant difference between test locations at a given time based on a t-test at P ≤ 0.05.
Fig. 2 in Direction and timing of dispersal of Scirtothrips dorsalis (Thysanoptera: Thripidae) on select ornamental host plant species in south Florida
Fig. 2. Population estimates and dispersal of Scirtothrips dorsalis to 2 hosts at TREC, 19 Jul to 27 Sep 2007. (A) Mean weekly numbers of nymphs and pupae found on buttonwood foliage. (B) Mean weekly numbers of adults washed from plant terminals with data from buttonwood and schefflera pooled. (C) Mean weekly captures of adults on yellow sticky-card traps behind buttonwood and schefflera plants. Symbols represent means ± SD. An asterisk (*) indicates a significant difference from the other weeks according to 1-way ANOVAs and t-test comparisons at P ≤ 0.05. Mean weekly temperatures (T °C) and relative humidity (RH %) for the 3 mo period are shown parallel to the X-axis (FAWN 2007).
Fig. 1 in Direction and timing of dispersal of Scirtothrips dorsalis (Thysanoptera: Thripidae) on select ornamental host plant species in south Florida
Fig. 1. Experimental setups. (A) Population estimates and dispersal from rose to buttonwood and schefflera. Darkest grey represents rose, whereas the 2 lighter grey shades represent buttonwood or schefflera with the same shade of grey representing the same plant species. (B) Flight behavior during the day. Circles represent potted rose plants in 11 L containers. Small black rectangles denote locations of yellow sticky-card traps relative to each plot.
Fig. 3 in Direction and timing of dispersal of Scirtothrips dorsalis (Thysanoptera: Thripidae) on select ornamental host plant species in south Florida
Fig. 3. Population estimates and dispersal of Scirtothrips dorsalis to 2 hosts: cumulative data for the 11 wk test period. (A) Mean damage ratings on a scale of 0 to 5. (B) On-plant densities of S. dorsalis. (C) Weekly captures of adults on yellow sticky-card traps. (D) Weekly captures of adults on yellow sticky-card traps by cardinal direction of traps from plants. Symbols represent means ± SD. An asterisk (*) indicates a significant difference at P ≤ 0.05 (A–C) between host plant species according to t-tests or (D) from the other host plant pairs at other cardinal orientations based on a 1-way ANOVA followed by a Tukey–Kramer HSD test.
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.