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793 results for “Startes”
Figure 3 in Amphibian Diversity: Where everything starts to flood, Cáceres Municipality, North Pantanal, Central-West Brazil
Figure 3. Geographic distribution map of Oreobates heterodactylus (circles), and Leptodactylus bufonius (squares) in the region of Cáceres (highlighted by a blue frame on the South America map), Mato Grosso, Brazil. References: Black circles (Pansonato et al., 2020), red circle (fieldwork – this study), black squares (Neves et al., 2020), and red square (Pansonato et al., 2011). Abbreviations: BOL = Bolivia, PAR = Paraguai, BRA = Brazil, MT = Mato Grosso State, and MS = Mato Grosso do Sul State. Background elevation ranges from 0 to 1,000 meters.
Figure 2 in Amphibian Diversity: Where everything starts to flood, Cáceres Municipality, North Pantanal, Central-West Brazil
Figure 2. Some of the anurans registered in the fieldwork, municipality of Cáceres, Mato Grosso, Brazil. A = Adenomera cf. diptyx, B = Dermatonotus muelleri, C = D. muelleri in amplexus, D = Elachistocleis bicolor, E = E. corumbaensis, F = Leptodactylus cf. brevipes, G = L. elenae, H = L. podicipinus, I = Oreobates heterodactylus, J = Rhinella diptycha, K = R. diptycha young and L = R. scitula. (Photo by D.J. Silva).
Figure 1 in Amphibian Diversity: Where everything starts to flood, Cáceres Municipality, North Pantanal, Central-West Brazil
Figure 1. Sampling sites in the municipality of Cáceres, Mato Grosso, Brazil. Abbreviations: MT = Mato Grosso, MS = Mato Grosso do Sul, EESA = Estação Ecológica da Serra das Araras and EET = Estação Ecológica de Taiamã. Fieldwork (stars): 1 = Sepotuba river mouth, 2 = Jauru River mouth, 3 = Morrinhos Farm region and 4 = Estação Ecológica de Taiamã. Literature records (triangles): A = ICMBio (2016), B = Andrade et al. (2017), C = Faria & Mott (2011), D = Silva-Alves et al. (2020), and E = Pansonato et al. (2011).
Transcription start sites from capped small RNA-seq of rat nucleus accubmens and prefrontal cortex
<p>Small RNAs of ∼15–60 nt were size selected by denaturing gel electrophoresis starting from total RNA extracted from 14 rat brain tissue dissections. For csRNA libraries, cap selection was followed by decapping, adapter ligation, and sequencing. For input libraries, 10% of small RNA input was used for decapping, adapter ligation, and sequencing. After library quality check by gel electrophoresis, the samples were sequenced using the Illumina NextSeq 500 platform using 75 cycles single end. Sequencing reads were aligned to the rat mRatBN7.2 genome assembly using STAR v2.5.3a aligner with default parameters. Transcriptional start regions were defined using HOMER’s findPeaks tool. </p> <p>Duttke, S.H., Montilla-Perez, P., Chang, M.W., Li, H., Chen, H., Carrette, L.L.G., de Guglielmo, G., George, O., Palmer, A.A., Benner, C., et al. (2022). Glucocorticoid Receptor-Regulated Enhancers Play a Central Role in the Gene Regulatory Networks Underlying Drug Addiction. Front. Neurosci. 16, 858427.</p>
START video for the Raw Materials Week 2023
<p>START video for the Raw Materials Week 2023 (Brussels, 13-17 November, 2023), including an overview on the project and Starty on the Critical Raw Materials issues in the EU and the START contribution on that!</p>
Camera Start I
ID no.: MHF 402/I Museum of Photography in Kraków https://muzea.malopolska.pl/en/objects-list/944 Digitalisation: RDW MIC, Virtual Małopolska project Source: Objaverse 1.0 / Sketchfab
Set of instances used in article "Medical staff planning for field hospital deployments: the START hospital"
<p>The dataset presented is used in the article "Medical staff planning for field hospital deployments: the START hospital" by F. Javier Martín-Campo, M. Teresa Ortuño and Berta Ruiz-González, submitted for publication (2024).</p> <p>This paper proposes a mathematical optimisation model to deal with the management of emergency staff to a field hospital from a roster of volunteers with different characteristics.</p> <p>A set of Excel files is available being:</p> <ul> <li>Readme: It contains the general information of the files.</li> <li>Data: It contains the data (general parameters, demand, prices, charter flights, health profiles, availability and grades).</li> <li>8 files with the solution for: Infeasibility test, Cost, Availability, Grades, Monoobjective, Goal Programming 1, Goal Programming 2 and Compromise Programming.</li> </ul>
FIG. 3 in When did roosters start singing at Arslantepe? A preliminary assessment of the presence and spread of Gallus gallus (Linnaeus, 1758) in Iron Age Eastern Anatolia
FIG. 3. — Arslantepe, level IIIB. Credits: G. Liberotti, © MAIAO.
FIG. 2 in When did roosters start singing at Arslantepe? A preliminary assessment of the presence and spread of Gallus gallus (Linnaeus, 1758) in Iron Age Eastern Anatolia
FIG. 2. — Arslantepe, the Iron Age monumental sequence. Photo credits: R. Ceccacci, ©MAIAO.
Google Scholar search record: ?start=0&q=lobster&hl=en&as_vis=0,5&as_sdt=0,5
File generated: Search date, time, timezone: 2022-04-15 18:57:53 (Europe/London) Search parameters: All these words: lobster None of these words: This exact word or phrase: "" Any these words: Language: en Between these years: and Number of pages exported: 1 Starting from page: 1 Citations included: TRUE Citations included: TRUE Search only in the title: FALSE Authors: Source: GS links generated: https://scholar.google.co.uk/scholar?start=0&q=lobster&hl=en&as_vis=0,5&as_sdt=0,5
Google Scholar search record: ?start=0&q=lobster&hl=en&as_vis=0,5&as_sdt=0,5
File generated: Search date, time, timezone: 2022-04-15 18:59:13 (Europe/London) Search parameters: All these words: lobster None of these words: This exact word or phrase: "" Any these words: Language: en Between these years: and Number of pages exported: 1 Starting from page: 1 Citations included: TRUE Citations included: TRUE Search only in the title: FALSE Authors: Source: GS links generated: https://scholar.google.co.uk/scholar?start=0&q=lobster&hl=en&as_vis=0,5&as_sdt=0,5
Google Scholar search record: ?start=0&q=lobster&hl=en&as_vis=0,5&as_sdt=0,5
File generated: Search date, time, timezone: 2022-04-15 18:54:14 (Europe/London) Search parameters: All these words: lobster None of these words: This exact word or phrase: "" Any these words: Language: en Between these years: and Number of pages exported: 1 Starting from page: 1 Citations included: TRUE Citations included: TRUE Search only in the title: FALSE Authors: Source: GS links generated: https://scholar.google.co.uk/scholar?start=0&q=lobster&hl=en&as_vis=0,5&as_sdt=0,5
Lietuvos Respublikos Seimo posėdžių debatų stenogramų tekstynas nuo 1990 m. kovo mėn. 10 d. = Corpus of the Transcripts of the Plenary Debates of the Seimas of the Republic of Lithuania starting from March 10th, 1990
<p>Šiame duomenų rinkinyje kaupiamos Lietuvos Respublikos <strong>Seimo posėdžių debatų stenogramos</strong>. Stenogramos parsiunčiamos automatizuotu būdu iš LR Seimo <a href="https://www.lrs.lt/sip/portal.show?p_r=35727&p_k=1&p_a=sale_ses_pos&p_kade_id=1&p_ses_id=1">portalo</a> ir/arba <a href="https://e-seimas.lrs.lt/portal/documentSearch/lt">paieškos įrankių</a> (abiejų sąrašų įrašai sutikrinami ir sudaromas bendras stenogramų sąrašas (su nuorodomis į šaltinius), kuris pridėtas prie šio duomenų rinkinio). Duomenų rinkinys apima stenogramas <strong>nuo 1990 m. kovo mėn. 10 d.</strong> iki paskutinės pilnos eilinės LR Seimo sesijos. Duomenų rinkinio atnaujinimas vykdomas pasibaigus paskutinei eilinei LR Seimo sesijai.</p> <p>Stenogramos parsiunčiamos DOC/DOCX formatais ir <strong>transformuojamos į TXT bei CSV ir XLSX formatus</strong>:</p> <p>1. Konvertavimas į TXT formatą vykdomas naudojant du įrankius: MultiDoc Converter (www.multidoc-converter.com/en/index.html) ir EmEditor (www.emeditor.com).</p> <p>2. TXT formato stenogramos konvertuojamos į struktūruotus CSV ir XLSX failus naudojant R skriptus, kurie pridedami prie šio duomenų rinkinio.</p> <p>3. Prie duomenų rinkinio pridėtas dokumentas, kuri aprašo CSV ir XLSX failų struktūrą.</p>
Start
Starting area of Quake ("Introduction"). Made with MagicaVoxel. Original design by John Romero. Source: Objaverse 1.0 / Sketchfab
StArt_Protocol - Phytoparasitic nematodes of Musa spp. with emphasis on sources of genetic resistance: a systematic review
<p>Protocolo do StArt da revisão sistemática Phytoparasitic nematodes of Musa spp. with emphasis on sources of genetic resistance: a systematic review</p>
StArt Protocol for systematic review: Use of CRISPR technology in gene editing for tolerance to biotic factors in plants: A systematic review.
<p>StArt Protocol for systematic review: Use of CRISPR technology in gene editing for tolerance to biotic factors in plants: A systematic review.</p>
FAIRmat Tutorial 12: Getting started with NOMAD and NOMAD Oasis for research data management (RDM)
<p>In this online tutorial we will cover the first steps with NOMAD and NOMAD Oasis. We will briefly cover the core NOMAD functionality on exploring, uploading, sharing and publishing data with NOMAD. We will then explore options for creating your own schemas and plugins to support new file formats and create custom electronic lab notebooks (ELNs), we show ways to customize an NOMAD Oasis, and how to contribute to the development of NOMAD and its ecosystem.</p> <p>The tutorial includes an introduction talk about NOMAD and FAIRmat, including the latest changes and features in NOMAD. This is followed by a practical follow along session, where we go through a Jupyter notebook that demonstrates how to use NOMAD for managing custom data and file types. Based on a simple given dataset, we show how to model the data in a schema, do parsing and normalization, process data, access existing data with NOMAD's API for analysis, and how to add visualization to your data.</p> <p> </p> <p><strong>Disclaimer: </strong>NOMAD is being continuously developed based on input and feedback from the scientific community. Hence the features, services or interface may have changed since the time of recording of this video. For up-to-date information please consult our latest tutorials and the NOMAD documentation <a href="https://nomad-lab.eu/prod/v1/docs/">https://nomad-lab.eu/prod/v1/docs/</a></p>
GCTB sparse shrunk LD matrices from 2.8M common variants from the UK Biobank - Part AA - START HERE
<p>GCTB sparse shrunk LD matrices from 2.8M common variants from the UK Biobank.</p> <p>Part <strong>AA </strong>of AA, AB, AC, AD and AE.</p> <p><strong>TO JOIN AND UNZIP THESE MATRICES</strong></p> <p><strong>Download all parts to one folder from:</strong></p> <p> PartAA - 10.5281/zenodo.3375373</p> <p> PartAB - 10.5281/zenodo.3376357</p> <p> Part AC - 10.5281/zenodo.3376456</p> <p> Parts AD and AE - 10.5281/zenodo.3376628</p> <p><strong>Use cat to join </strong></p> <p>cat <a href="https://zenodo.org/api/files/8ffd1abc-07ef-4b8a-a6cf-779a73ee03c2/ukb_50k_bigset_2.8M.zip.partaa?versionId=102ded84-352a-494d-8da3-cebb63a20aee">ukb_50k_bigset_2.8M.zip.part* > ukb_50k_bigset_2.8M.zip </a></p> <p>Then unzip. See README for further details.</p> <p>unzip <a href="https://zenodo.org/api/files/8ffd1abc-07ef-4b8a-a6cf-779a73ee03c2/ukb_50k_bigset_2.8M.zip.partaa?versionId=102ded84-352a-494d-8da3-cebb63a20aee">ukb_50k_bigset_2.8M.zip </a></p>
Temperature, precipitation and drought code at 1 km resolution over Italy from start of 2017 to end of 2022 (6 years)
<p>These files are products from an investigation related to understanding seasonal vertical ground movement through InSAR and how it is correlated to drought and temperature. </p> <p><strong>All the raster stacks have one band per day from 1 January 2017 to 1 January 2023 for a total of 2192 bands</strong>. All raster are in geographic coordinate systems with a WGS84 datum and aligned to an extent of 6.6116°, 18.51428°, 35.48345°, 47.09867° with a cell ground sampling distance of 0.008983153° degrees.</p> <p> (i) PrecipitationCHIRP.tif - daily precipitation in Italy, from the CHIRP dataset.</p> <p> (ii) correctedMODIS_LST_2018_2024.tif - daily air temperature interpolated values from MODIS corrected from LST to air temperature using a simple correction factor (see https://www.mdpi.com/2072-4292/16/22/4123) </p> <p>(iii) droughtCodeMODIS_CHIRP_2018_2024.tif - calculated drought code (see paper).</p> <p>(iv) italyEGMS_DCcor.gpkg - all Measurement Points with absolute value of Spearman correlation above 0.7 for Italy.</p> <p>An interactive webgis is available at <a href="https://www.cirgeo.unipd.it/appVM/EGMS/" target="_blank" rel="noopener">https://www.cirgeo.unipd.it/appVM/EGMS/</a> (not always active, please email authors if not accessible). This portal allows the user to click each measurment point that was detected as having significant correlation with drought codes, and see the time-series of the vertical movement and of the detrended drought code and temperature and precipitation (see preview image).</p>
The start and end dates of the 2024 winter and summer vacations for the 31 provinces in mainland China.
<p><span>The start and end dates of the 2024 winter and summer vacations for the 31 provinces in mainland China.</span></p>
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.