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Reference Spectra, Laboratory Mixture Spectra, list of NIMS cubes used in this study and the manual corrections to these NIMS cubes for better alignment.
<p>Reflectance spectra for the endmember library, including both the public data and data made in this study. <br><br>Reflectance spectra for the 100% SAO, 10% SAO, 25% SAO, 80% SAO, and 100% Water ice mixtures.<br><br>Text File of the PDS IDs of NIMS data cubes analyzed in this study.</p> <p>(X,Y) offsets applied to each data cube for better alignment between NIMS data and the Global Mosaic.</p>
Figure 1 in An updated list of the Culicoides (Diptera, Ceratopogonidae) fauna from Ecuador
Figure 1. Sites of entomological collections.
List of Mercury's Bow Shock and Magnetopause Crossings by the MESSENGER Spacecraft
<p>This dataset contains a list of Mercury’s bow shock and magnetopause boundary crossings by the MESSENGER spacecraft during its entire orbital mission, from March 23, 2011, to April 30, 2015. A total of 4,054 orbits were identified.</p> <p>The boundary crossings were visually identified by abrupt changes in the magnetic field strength and direction as the spacecraft traversed the current layer, assisted by a sharp boundary in the ion flux spectrogram between different regions. Due to the inward and outward motions of these boundaries, multiple crossings were typically observed. The dataset provides the innermost and outermost crossings for each pass. </p> <p>File descriptions:</p> <p>*MP_in.dat*: Inbound magnetopause crossings.</p> <p>*MP_out.dat*: Outbound magnetopause crossings.</p> <p>*BS_in.dat*: Inbound bow shock crossings.</p> <p>*BS_out.dat*: Outbound bow shock crossings.</p> <p>Each file includes two columns: the time strings for the first and last crossings during each pass. For passes with only one crossing, the second time string is labeled as “NAN.” In a few orbits where the bow shock was not detected, both columns are labeled as “NAN.”</p> <p>The MESSENGER MAG and FIPS data used for the identification is publicly available via NASA’s Planetary Data System (https://pds-ppi.igpp.ucla.edu/).</p> <p>This dataset is linked to the following publications:</p> <p>Zhong et al. (2015), Mercury’s three-dimensional asymmetric magnetopause, <em>J. Geophy. Res. Space Physics</em>, 120, 7658–7671, <a href="https://doi.org/10.1002/2015JA021425">https://doi.org/10.1002/2015JA021425</a>.</p> <p>Zhong et al. (2015), Compressibility of Mercury’s dayside magnetosphere, <em>Geophy. Res. Lett.</em>, 42(23), 10135-10139. <a href="https://doi.org/10.1002/2015GL067063">https://doi.org/10.1002/2015GL067063</a>.</p> <p>Zhong et al. (2020), Effects of Orbital Eccentricity and IMF Cone Angle on the Dimensions of Mercury’s Magnetosphere, <em>Astrophys. J.</em>, 892(1), 2. 10135-10139. <a href="https://doi.org/10.3847/1538-4357/ab7819">https://doi.org/10.3847/1538-4357/ab7819</a>.</p> <p>Zhong & Wang, Global magnetic field properties in Mercury’s solar wind interaction from MESSENGER measurements [submitted, A&A, 2024].</p>
Table 2 in Updated list of bats (Mammalia: Chiroptera) from the state of Minas Gerais, southeastern Brazil, including new records
<p>Table 2. Protected areas sampled for bats in the state of Minas Gerais, Brazil.</p><table><tbody><tr><th>Protected area</th><th>Municipality</th></tr></tbody><tbody><tr><th>Área de Proteção Ambiental do Carste de Lagoa Santa</th><td>Lagoa Santa</td></tr><tr><th>Área de Proteção Ambiental Rio Pandeiros</th><td>Bonito de Minas</td></tr><tr><th>Área de Proteção Ambiental Vargem das Flores</th><td>Betim/Contagem</td></tr><tr><th>RPPN Rosendo Netto de Souza Andrade</th><td>Carrancas</td></tr><tr><th>Estação de Pesquisa e Desenvolvimento Ambiental Galheiro</th><td>Perdizes</td></tr><tr><th>Estação Ecológica de Fechos</th><td>Nova Lima</td></tr><tr><th>Estação Ecológica da UFMG</th><td>Belo Horizonte</td></tr><tr><th>Estação Ecológica Pirapitinga</th><td>Morada Nova de Minas</td></tr><tr><th>Monumento Natural Lapa Vermelha</th><td>Pedro Leopoldo</td></tr><tr><th>Parque Ambiental Alcoa</th><td>Poços de Caldas</td></tr><tr><th>Parque Estadual da Mata Seca</th><td>Manga/Bonito de Minas</td></tr><tr><th>Parque Estadual da Serra do Brigadeiro</th><td>Ervália</td></tr><tr><th>Parque Estadual da Serra do Papagaio</th><td>Aiuruoca</td></tr><tr><th>Parque Estadual da Serra do Rola Moça</th><td>Nova Lima</td></tr><tr><th>Parque Estadual do Ibitipoca</th><td>Lima Duarte</td></tr><tr><th>Parque Estadual do Rio Doce</th><td>Marliéria</td></tr><tr><th>Parque Estadual do Rio Preto</th><td>São Gonçalo do Rio Preto</td></tr><tr><th>Parque Estadual Lapa Grande</th><td>Montes Claros</td></tr><tr><th>Parque Estadual Serra Negra da Mantiqueira</th><td>Rio Preto</td></tr><tr><th>Parque Muncipal da Sapucaia</th><td>Montes Claros</td></tr><tr><th>Parque Municipal das Mangabeiras</th><td>Belo Horizonte</td></tr><tr><th>Parque Nacional Cavernas do Peruaçu</th><td>Itacarambi</td></tr><tr><th>Parque Nacional da Serra da Canastra</th><td>São Roque de Minas</td></tr><tr><th>Parque Nacional Serra do Cipó</th><td>Jaboticatubas</td></tr><tr><th>Reserva Biológica Serra Azul</th><td>Jaíba</td></tr><tr><th>Reseva Biológica de Acauã</th><td>Leme do Prado</td></tr><tr><th>RPPN Fazenda da Lagoa</th><td>Monte Belo</td></tr><tr><th>RPPN Feliciano Miguel Abdalla</th><td>Caratinga</td></tr><tr><th>RPPN Guilman Amorim</th><td>Antônio Dias</td></tr><tr><th>RPPN Mata do Passarinho</th><td>Bandeira</td></tr><tr><th>RPPN Mata do Sossego</th><td>Simonésia</td></tr><tr><th>RPPN Peti</th><td>São Gonçalo do Rio Abaixo</td></tr><tr><th>RPPN Santuário do Caraça</th><td>Santa Bárbara/Catas Altas</td></tr></tbody></table>
Supplemental Table 1- Marker-Gene-List
<p>Supplementary data to a mauscript titled </p> <p><span>Gonadotropin releasing hormone - gonadotropes interactions revealed by pituitary single-cell transcriptomics in zebrafish</span></p>
List of SSCVs Identification with juncmut from Sequence Read Archive
<p>List of Splice-Site Creating Variants (SSCVs) via <a href="https://github.com/ncc-gap/juncmut">juncmut</a> applied to 322,072 transcriptome sequence data from Sequence Read Archive.</p>
Data from: Incorporating explicit geospatial data shows more species at risk of extinction than the current Red List
The IUCN (International Union for Conservation of Nature) Red List classifies species according to their risk of extinction, informing global to local conservation decisions. Unfortunately, important geospatial data do not explicitly or efficiently enter this process. Rapid growth in the availability of remotely sensed observations provides fine-scale data on elevation and increasingly sophisticated characterizations of land cover and its changes. These data readily show that species are likely not present within many areas within the overall envelopes of their distributions. Additionally, global databases on protected areas inform how extensively ranges are protected. We selected 586 endemic and threatened forest bird species from six of the world's most biodiverse and threatened places (Atlantic Forest of Brazil, Central America, Western Andes of Colombia, Madagascar, Sumatra, and Southeast Asia). The Red List deems 18% of these species to be threatened (15 critically endangered, 29 endangered, and 64 vulnerable). Inevitably, after refining ranges by elevation and forest cover, ranges shrink. Do they do so consistently? For example, refined ranges of critically endangered species might reduce by (say) 50% but so might the ranges of endangered, vulnerable, and nonthreatened species. Critically, this is not the case. We find that 43% of species fall below the range threshold where comparable species are deemed threatened. Some 210 bird species belong in a higher-threat category than the current Red List placement, including 189 species that are currently deemed nonthreatened. Incorporating readily available spatial data substantially increases the numbers of species that should be considered at risk and alters priority areas for conservation.
Machine readable code lists for an algorithm to identify incident non-small cell lung cancer (NSCLC) in United States healthcare claims data
<p>Machine readable code lists for an algorithm to identify incident non-small cell lung cancer (NSCLC) in United States healthcare claims data</p>
A concept for FAIR clinical medication data usage - From care to research with OMOP: literature list of OHDSI studies
<p>This list of papers has been reviewed for the usage of drug data and to answer the question on what drug level the study was done. </p> <p>We checked whether drug ingredient level or drug component with dose and unit was required for the studies. </p>
FIG. 2 in Eneopterinae crickets from Costa Rica: an emended list (Orthoptera, Grylloidea)
FIG. 2. — Male of Ponca venosa Hebard, 1928 from Costa Rica, La Selva. Photograph by T. Robillard.
Figure 9 in A new species of Chrysobothris Eschscholtz (Coleoptera: Buprestidae) from nests of Cerceris fumipennis Say (Hymenoptera: Crabronidae) in northeastern Florida, USA, with new state records for species of Chrysobothris and a list of buprestid prey species taken by the wasp in Florida
Figure 9. Google Earth image of Pelotes Island (outlined in white) and vicinity.
FIG. 5 in Typification and check-list of Musa L. names (Musaceae) with nomenclatural notes
FIG. 5. — Lectotype of Musa truncata Ridl. (HR 13694, SING).
FIG. 1 in Typification and check-list of Musa L. names (Musaceae) with nomenclatural notes
FIG. 1. — Lectotype of Musa campestris Becc. var. campestris (O. Beccari 2722, FI).
FIG. 4 in Typification and check-list of Musa L. names (Musaceae) with nomenclatural notes
FIG. 4. — Lectotype of Musa microcarpa Becc. (O. Beccari 3351, FI).
FIG. 3 in Typification and check-list of Musa L. names (Musaceae) with nomenclatural notes
FIG. 3. — Lectotype of Musa hirta Becc. (O. Beccari 3349, FI).
DMTA dataset. Detailed list of individual teeth from Cova de la Guineu
<p>Detailed list of individual teeth (N = 69) examined in this study. All teeth are lower left second molars (LLM2). DMTA analysis were performed on buccal (B), occlusal (O) or both (BO) enamel surfaces. Poor quality scans with obscured microwear features that were removed from study are indicated by dashes (-).</p>
Samples information and datasets list
<p>Samples information and dataset lists, including <em>dataset stru, stru-same, cp_family, cp_genus, cp_species, cp_samples</em>.</p>
Photo 3 in Flat Bugs of French Guyana - a preliminary faunal list (Heteroptera, Aradidae)
Photo 3. Aradidae of French Guyana 2:
Photo 2 in Flat Bugs of French Guyana - a preliminary faunal list (Heteroptera, Aradidae)
Photo 2. Aradidae of French Guyana 1:
Photo 1 in Flat Bugs of French Guyana - a preliminary faunal list (Heteroptera, Aradidae)
Photo 1. Interception trap in a rainforest of French Guyana.
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.