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564 results for “June”
June and August plant biomass in mesic acidic tussock tundra, 1992, Arctic LTER, Toolik Lake, Alaska.
Quadrats (20cm x 20cm squares) along a line (block) were collected for plant biomass in mesic tussock tundra. In the lab each quadrat was separated into individual species, new and old aboveground and belowground biomass. Two harvests were completed, June and a late July. These are control plots from an experiment setup for a 15N experiment.
Leaf area for select species was measured in arctic tundra experimental sites from late June into early August,Toolik Field Sattion, Alaska, Arctic LTER 2000.
Leaf area for select species was measured in arctic tundra experimental sites from late June into early August. Measurements were made in acidic and non acidic tussock tundra and in shrub tundra in control and fertilized plots.
Alaska Peatland Experiment (APEX): Near-earth hyperspectral measurements from June of 2016.
This dataset contains hyperspectral data from the Bonanza Creek APEX site taken over several days in June of 2016. The data were collected over in each of the three water table manipulation plots that comprise the APEX site. Spectral reflectance measurements were taken at APEX using an Analytical Spectral Devices Fieldspec Pro that measured reflectance in 1-nm bandwidths between 300 and 2500 nm. The purpose of this data collection was to link vegetation change associated with the experimental manipulation with spectral reflectance characteristics.
Files for evaluating FRC second test envelope, status June 2020
<p>Related to Description in QualyGridS publication "Finalized testing Protocol" DOI: 10.5281/zenodo.3912063</p> <p>Annex B3 refers to this data set which is too large to be reproduced in the testing protocols file.</p>
June 2020 Eclipse Festival of Frequency Measurement - 10 MHz Frequency Estimation Data
<p>Frequency estimation and amplitude output from fldigi during the June Eclipse Festival of Frequency Measurement, synchronized as timetables in MATLAB. </p> <p>JEF_List: Station list with coordinates and basic information. <br> Freq.txt, Vpk.txt: short period of overlap between stations.<br> Freq_full.txt, Vpk_full.txt: Complete data, including practice and bonus data collection days. </p> <p>Thanks to all who collected data: 3V1E, 3V8SS, 9V1AW, 9V1KB, A45VU, A47RS, AD7TS, AD8Y, DK4BU, EAllUO, El7IG, F1ABL, F4IEW, GOLHZ, HZ1HM-SU9HM, JF9PKH, J13XOK/8, JJ1BDX, K1FR, K6FOD, K6RGI, KA3JAW, KD8CGH, KF5SMH, Luo Zhiwen, N7MN, NAOB, OE3WYC, PAOSLT, PAORWT, PA4WE, PD4C, PE1RCW, PE1RWP, PU3VRW, SA6EAL, SP9MUF, SP9WPN, SV1GRB, SV1IT, SV1ONK, SV1VC, SV2BBO, SV7BOT, Andrew Klekociuk, VK2DLR, VK3DFR, VK7KPC, W3LLA, and ZS6YZ.</p> <p>__________________________________________________________</p> <p><strong>Errata:</strong><br> Coordinate error: G0LHZ is <em>west</em> of the Greenwich line:<strong> G0LHZ Jim Carter 51.507468 - 1.080013</strong></p>
Simulation data for MMS June 17 2017 event
<p>The data from a VPIC simulation modeling the MMS observation event on June 17 2017 of magnetotail magnetic reconnection.</p>
Data from: "Discovery and characterization of 80 SNPs and 1,624 SSRs in the transcriptome of Atlantic mackerel (Scomber scombrus, L)" in Genomic Resources Notes Accepted 1 June 2015 to 31 July 2015
This paper reports on SNP discovery in the Atlantic mackerel transcriptome, using next generation sequencing technologies and applying developed methodology already proven successful for the European anchovy. A total of 9,966 high quality transcriptome contigs were assembled, from which 951 putative SNPs were discovered. In all, 479 putative SNPs and 1,624 simple sequence repeats (SSRs) suitable for genotyping were identified. A subset of 96 was selected for genotyping; from these, 80 SNPs were considered polymorphic and reliably scored after genotyping of 105 individuals from three locations in the Eastern Atlantic Ocean. These markers will be valuable for future studies on population genetic structure assessment and for product tracing.
Generative AI in University Communication - Survey Data (June 2023)
<p>Der Datensatz mit dem Titel "Generative KI in der Hochschulkommunikation - Umfragedaten (Juni 2023)" erfasst Informationen zur Einführung und Nutzung von generativer künstlicher Intelligenz (KI) im Kontext der Hochschulkommunikation. Die Umfrage, die im Juni 2023 unter 318 deutschen Hochschulen durchgeführt wurde, von denen 101 geantwortet haben, untersucht verschiedene Aspekte, darunter Bekanntheit und Wissen über verschiedene KI-Tools (z.B. ChatGPT), Diskussionen in Gremien, das Vorhandensein von Richtlinien für die Nutzung, das Vorhandensein von Arbeitsgruppen für generative KI, strategische Ziele und Initiativen, Schulungsangebote für generative KI-Tools und die wahrgenommene Bedeutung von generativen KI-Tools in der Hochschulkommunikation. Ziel des Datensatzes ist es, Einblicke in die aktuelle Landschaft und Praxis der Integration generativer KI im universitären Umfeld zu geben.</p><p>The dataset, titled "Generative AI in University Communication - Survey Data (June 2023)," captures information related to the adoption and utilization of generative artificial intelligence (AI) in the context of university communication. This survey, conducted in June 2023 among 318 German universities of which 101 responded, explores various aspects, including awarenes and knowledge of various AI tools (e.g. ChatGPT), discussions in committees, the existence of guidelines for usage, the presence of working groups for generative AI, strategic goals and initiatives, training offerings for generative AI tools, and the perceived importance of generative AI tools in university communication. The dataset aims to provide insights into the current landscape and practices regarding the integration of generative AI within university settings.</p><p> </p><p>More information here: <a href="https://www.hof.uni-halle.de/projekte/hochki/">https://www.hof.uni-halle.de/projekte/hochki/</a></p>
Figure 3. from: A first integrative study of the identity and origins of the British Dwarf Pill Millipede populations, Trachysphaera cf. lobata (Diplopoda, Glomerida, Glomeridae) - Biodiversity Data Journal 3: e5176 (09 June 2015) https://doi.org/10.3897/BDJ.3.e5176
Figure 3. - TW18: T.lobata, female, Isle of Wight
Figure 3a. from: First record of Neoempheria Osten Sacken (Diptera, Mycetophilidae) biology in the Neotropical region, with associations between its larvae and fungi - Biodiversity Data Journal 3: e5073 (08 June 2015) https://doi.org/10.3897/BDJ.3.e5073
Figure 3a. - Neoempheriapuncticoxa Edwards, 1940. Left wing.Figure 3a.Male.Figure 3b.Female. <br> Male.
Figure 2. from: First record of Neoempheria Osten Sacken (Diptera, Mycetophilidae) biology in the Neotropical region, with associations between its larvae and fungi - Biodiversity Data Journal 3: e5073 (08 June 2015) https://doi.org/10.3897/BDJ.3.e5073
Figure 2. - Neoempheriapuncticoxa Edwards, 1940. Female adult, lateral view.
Figure 15. from: New records of Ichneumonidae (Hymenoptera) for the Italian fauna - Biodiversity Data Journal 3: e5057 (19 June 2015) https://doi.org/10.3897/BDJ.3.e5057
Figure 15. - Poemeniacollaris (Haupt, 1917), female.
Figure 14. from: New records of Ichneumonidae (Hymenoptera) for the Italian fauna - Biodiversity Data Journal 3: e5057 (19 June 2015) https://doi.org/10.3897/BDJ.3.e5057
Figure 14. - Zatypotapicticollis (Thomson, 1888), female.
Figure 11. from: New records of Ichneumonidae (Hymenoptera) for the Italian fauna - Biodiversity Data Journal 3: e5057 (19 June 2015) https://doi.org/10.3897/BDJ.3.e5057
Figure 11. - Dicaelotus (Dicaelotus) morosator Aubert, 1969, male.
Figure 9. from: New records of Ichneumonidae (Hymenoptera) for the Italian fauna - Biodiversity Data Journal 3: e5057 (19 June 2015) https://doi.org/10.3897/BDJ.3.e5057
Figure 9. - Mesoleiustibiator Kasparyan, 2000, female.
Figure 13. from: New records of Ichneumonidae (Hymenoptera) for the Italian fauna - Biodiversity Data Journal 3: e5057 (19 June 2015) https://doi.org/10.3897/BDJ.3.e5057
Figure 13. - Lycorinatriangulifera Holmgren, 1859, male.
Figure 4. from: New records of Ichneumonidae (Hymenoptera) for the Italian fauna - Biodiversity Data Journal 3: e5057 (19 June 2015) https://doi.org/10.3897/BDJ.3.e5057
Figure 4. - Baranisobashibericus Heinrich, 1972, female habitus.
Figure 12. from: New records of Ichneumonidae (Hymenoptera) for the Italian fauna - Biodiversity Data Journal 3: e5057 (19 June 2015) https://doi.org/10.3897/BDJ.3.e5057
Figure 12. - Cotiheresiarchesdirus (Wesmael, 1853), female.
Figure 8. from: New records of Ichneumonidae (Hymenoptera) for the Italian fauna - Biodiversity Data Journal 3: e5057 (19 June 2015) https://doi.org/10.3897/BDJ.3.e5057
Figure 8. - Phobetesnigriventris (Teunissen, 1953), female.
Figure 10. from: New records of Ichneumonidae (Hymenoptera) for the Italian fauna - Biodiversity Data Journal 3: e5057 (19 June 2015) https://doi.org/10.3897/BDJ.3.e5057
Figure 10. - Diacritusaciculatus (Vollenhoven, 1878), female.
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.