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12,237 results for “2019”
ELITE SLWR: global 1km daily SLDR at SIN Grid (2019_121-181)
<p>The <strong>E</strong>ssential therma<strong>l</strong> <strong>I</strong>nfrared remo<strong>T</strong>e s<strong>E</strong>nsing (<strong>ELITE</strong>) product suite currently has four types of products, including land surface temperature (LST: clear-sky and all-sky), emissivity (NBE: narrowband emissivity; BBE: broadband emissivity; and spectral emissivity), the component of surface radiation and energy budget (SLUR: surface longwave upwelling radiation; SLDR: surface longwave downward radiation SLDR; SLNR: surface longwave net radiation), and the component of Earth’s radiation budget (OLR; outgoing longwave radiation; RSR: reflected solar radiation). The spatial-temporal resolutions of the ELITE products are mainly determined by the employed satellite data sources. For more information about ELITE products, please refer to the website (<a href="https://elite.bnu.edu.cn/">https://elite.bnu.edu.cn</a>).</p> <p> </p> <p>This dataset is ELITE daily surface longwave downward radiation (SLDR) product at 1km spatial resolution. It is provided on a Sinusoidal grid and ranges from 2000 to 2022 (continuously updated). This dataset was generated from the ELITE surface longwave downward radiation (SLDR) product using the algorithms developed by Zeng et al. (2021).</p> <p> </p> <p>This is the ELITE Daily SLDR product in 2019 (DOY: 121-181). Please <a href="../records/11218396"><strong><em>click here</em></strong></a> to download the ELITE Daily SLDR product in 2019 (DOY: 182-243).</p> <p><strong>Dataset Characteristics:</strong></p> <ul> <li>Spatial Coverage: Global</li> <li>Temporal Coverage: 2019-05-01 ~ 2019-06-30</li> <li>Spatial Resolution: 1 km</li> <li>Temporal Resolution: Daily</li> <li>Data Format: h5</li> <li>Projection: Sinusoidal</li> <li>Scale: 0.05</li> <li>Offset: -1000</li> <li>Fill value: 999</li> </ul> <p> </p> <p><strong>Citation </strong>(Please cite these papers when using the data)<strong>:</strong></p> <ol> <li>Zeng, Q., & Cheng, J. (2021). Estimating high-spatial resolution surface daily longwave radiation from the instantaneous Global LAnd Surface Satellite (GLASS) longwave radiation product. <em>International Journal of Digital Earth</em>, <em>14</em>(11), 1674-1704.</li> </ol>
ELITE SLWR: global 1km daily SLDR at SIN Grid (2019_244-304)
<p>The <strong>E</strong>ssential therma<strong>l</strong> <strong>I</strong>nfrared remo<strong>T</strong>e s<strong>E</strong>nsing (<strong>ELITE</strong>) product suite currently has four types of products, including land surface temperature (LST: clear-sky and all-sky), emissivity (NBE: narrowband emissivity; BBE: broadband emissivity; and spectral emissivity), the component of surface radiation and energy budget (SLUR: surface longwave upwelling radiation; SLDR: surface longwave downward radiation SLDR; SLNR: surface longwave net radiation), and the component of Earth’s radiation budget (OLR; outgoing longwave radiation; RSR: reflected solar radiation). The spatial-temporal resolutions of the ELITE products are mainly determined by the employed satellite data sources. For more information about ELITE products, please refer to the website (<a href="https://elite.bnu.edu.cn/">https://elite.bnu.edu.cn</a>).</p> <p> </p> <p>This dataset is ELITE daily surface longwave downward radiation (SLDR) product at 1km spatial resolution. It is provided on a Sinusoidal grid and ranges from 2000 to 2022 (continuously updated). This dataset was generated from the ELITE surface longwave downward radiation (SLDR) product using the algorithms developed by Zeng et al. (2021).</p> <p> </p> <p>This is the ELITE Daily SLDR product in 2019 (DOY: 244-304). Please <a href="../records/11227626"><strong><em>click here</em></strong></a> to download the ELITE Daily SLDR product in 2019 (DOY: 305-365).</p> <p><strong>Dataset Characteristics:</strong></p> <ul> <li>Spatial Coverage: Global</li> <li>Temporal Coverage: 2019-09-01 ~ 2019-10-31</li> <li>Spatial Resolution: 1 km</li> <li>Temporal Resolution: Daily</li> <li>Data Format: h5</li> <li>Projection: Sinusoidal</li> <li>Scale: 0.05</li> <li>Offset: -1000</li> <li>Fill value: 999</li> </ul> <p> </p> <p><strong>Citation </strong>(Please cite these papers when using the data)<strong>:</strong></p> <ol> <li>Zeng, Q., & Cheng, J. (2021). Estimating high-spatial resolution surface daily longwave radiation from the instantaneous Global LAnd Surface Satellite (GLASS) longwave radiation product. <em>International Journal of Digital Earth</em>, <em>14</em>(11), 1674-1704.</li> </ol>
ELITE SLWR: global 1km daily SLDR at SIN Grid (2019_305-365)
<p>The <strong>E</strong>ssential therma<strong>l</strong> <strong>I</strong>nfrared remo<strong>T</strong>e s<strong>E</strong>nsing (<strong>ELITE</strong>) product suite currently has four types of products, including land surface temperature (LST: clear-sky and all-sky), emissivity (NBE: narrowband emissivity; BBE: broadband emissivity; and spectral emissivity), the component of surface radiation and energy budget (SLUR: surface longwave upwelling radiation; SLDR: surface longwave downward radiation SLDR; SLNR: surface longwave net radiation), and the component of Earth’s radiation budget (OLR; outgoing longwave radiation; RSR: reflected solar radiation). The spatial-temporal resolutions of the ELITE products are mainly determined by the employed satellite data sources. For more information about ELITE products, please refer to the website (<a href="https://elite.bnu.edu.cn/">https://elite.bnu.edu.cn</a>).</p> <p> </p> <p>This dataset is ELITE daily surface longwave downward radiation (SLDR) product at 1km spatial resolution. It is provided on a Sinusoidal grid and ranges from 2000 to 2022 (continuously updated). This dataset was generated from the ELITE surface longwave downward radiation (SLDR) product using the algorithms developed by Zeng et al. (2021).</p> <p> </p> <p>This is the ELITE Daily SLDR product in 2019 (DOY: 305-365). Please <a href="11227626"><strong><em>click here</em></strong></a> to download the ELITE Daily SLDR product in 2020 (DOY: 001-060).</p> <p><strong>Dataset Characteristics:</strong></p> <ul> <li>Spatial Coverage: Global</li> <li>Temporal Coverage: 2019-11-01 ~ 2019-12-31</li> <li>Spatial Resolution: 1 km</li> <li>Temporal Resolution: Daily</li> <li>Data Format: h5</li> <li>Projection: Sinusoidal</li> <li>Scale: 0.05</li> <li>Offset: -1000</li> <li>Fill value: 999</li> </ul> <p> </p> <p><strong>Citation </strong>(Please cite these papers when using the data)<strong>:</strong></p> <ol> <li>Zeng, Q., & Cheng, J. (2021). Estimating high-spatial resolution surface daily longwave radiation from the instantaneous Global LAnd Surface Satellite (GLASS) longwave radiation product. <em>International Journal of Digital Earth</em>, <em>14</em>(11), 1674-1704.</li> </ol>
ELITE SLWR: global 1km daily SLDR at SIN Grid (2019_001-059)
<p>The <strong>E</strong>ssential therma<strong>l</strong> <strong>I</strong>nfrared remo<strong>T</strong>e s<strong>E</strong>nsing (<strong>ELITE</strong>) product suite currently has four types of products, including land surface temperature (LST: clear-sky and all-sky), emissivity (NBE: narrowband emissivity; BBE: broadband emissivity; and spectral emissivity), the component of surface radiation and energy budget (SLUR: surface longwave upwelling radiation; SLDR: surface longwave downward radiation SLDR; SLNR: surface longwave net radiation), and the component of Earth’s radiation budget (OLR; outgoing longwave radiation; RSR: reflected solar radiation). The spatial-temporal resolutions of the ELITE products are mainly determined by the employed satellite data sources. For more information about ELITE products, please refer to the website (<a href="https://elite.bnu.edu.cn/">https://elite.bnu.edu.cn</a>).</p> <p> </p> <p>This dataset is ELITE daily surface longwave downward radiation (SLDR) product at 1km spatial resolution. It is provided on a Sinusoidal grid and ranges from 2000 to 2022 (continuously updated). This dataset was generated from the ELITE surface longwave downward radiation (SLDR) product using the algorithms developed by Zeng et al. (2021).</p> <p> </p> <p>This is the ELITE Daily SLDR product in 2019 (DOY: 001-059). Please <a href="11216988"><strong><em>click here</em></strong></a> to download the ELITE Daily SLDR product in 2019 (DOY: 060-120).</p> <p><strong>Dataset Characteristics:</strong></p> <ul> <li>Spatial Coverage: Global</li> <li>Temporal Coverage: 2019-01-01 ~ 2019-02-28</li> <li>Spatial Resolution: 1 km</li> <li>Temporal Resolution: Daily</li> <li>Data Format: h5</li> <li>Projection: Sinusoidal</li> <li>Scale: 0.05</li> <li>Offset: -1000</li> <li>Fill value: 999</li> </ul> <p> </p> <p><strong>Citation </strong>(Please cite these papers when using the data)<strong>:</strong></p> <ol> <li>Zeng, Q., & Cheng, J. (2021). Estimating high-spatial resolution surface daily longwave radiation from the instantaneous Global LAnd Surface Satellite (GLASS) longwave radiation product. <em>International Journal of Digital Earth</em>, <em>14</em>(11), 1674-1704.</li> </ol>
ELITE SLWR: global 1km daily SLDR at SIN Grid (2019_060-120)
<p>The <strong>E</strong>ssential therma<strong>l</strong> <strong>I</strong>nfrared remo<strong>T</strong>e s<strong>E</strong>nsing (<strong>ELITE</strong>) product suite currently has four types of products, including land surface temperature (LST: clear-sky and all-sky), emissivity (NBE: narrowband emissivity; BBE: broadband emissivity; and spectral emissivity), the component of surface radiation and energy budget (SLUR: surface longwave upwelling radiation; SLDR: surface longwave downward radiation SLDR; SLNR: surface longwave net radiation), and the component of Earth’s radiation budget (OLR; outgoing longwave radiation; RSR: reflected solar radiation). The spatial-temporal resolutions of the ELITE products are mainly determined by the employed satellite data sources. For more information about ELITE products, please refer to the website (<a href="https://elite.bnu.edu.cn/">https://elite.bnu.edu.cn</a>).</p> <p> </p> <p>This dataset is ELITE daily surface longwave downward radiation (SLDR) product at 1km spatial resolution. It is provided on a Sinusoidal grid and ranges from 2000 to 2022 (continuously updated). This dataset was generated from the ELITE surface longwave downward radiation (SLDR) product using the algorithms developed by Zeng et al. (2021).</p> <p> </p> <p>This is the ELITE Daily SLDR product in 2019 (DOY: 060-120). Please <a href="../records/11218105"><strong><em>click here</em></strong></a> to download the ELITE Daily SLDR product in 2019 (DOY: 121-181).</p> <p><strong>Dataset Characteristics:</strong></p> <ul> <li>Spatial Coverage: Global</li> <li>Temporal Coverage: 2019-03-01 ~ 2019-04-30</li> <li>Spatial Resolution: 1 km</li> <li>Temporal Resolution: Daily</li> <li>Data Format: h5</li> <li>Projection: Sinusoidal</li> <li>Scale: 0.05</li> <li>Offset: -1000</li> <li>Fill value: 999</li> </ul> <p> </p> <p><strong>Citation </strong>(Please cite these papers when using the data)<strong>:</strong></p> <ol> <li>Zeng, Q., & Cheng, J. (2021). Estimating high-spatial resolution surface daily longwave radiation from the instantaneous Global LAnd Surface Satellite (GLASS) longwave radiation product. <em>International Journal of Digital Earth</em>, <em>14</em>(11), 1674-1704.</li> </ol>
ELITE SLWR: global 1km daily SLDR at SIN Grid (2019_182-243)
<p>The <strong>E</strong>ssential therma<strong>l</strong> <strong>I</strong>nfrared remo<strong>T</strong>e s<strong>E</strong>nsing (<strong>ELITE</strong>) product suite currently has four types of products, including land surface temperature (LST: clear-sky and all-sky), emissivity (NBE: narrowband emissivity; BBE: broadband emissivity; and spectral emissivity), the component of surface radiation and energy budget (SLUR: surface longwave upwelling radiation; SLDR: surface longwave downward radiation SLDR; SLNR: surface longwave net radiation), and the component of Earth’s radiation budget (OLR; outgoing longwave radiation; RSR: reflected solar radiation). The spatial-temporal resolutions of the ELITE products are mainly determined by the employed satellite data sources. For more information about ELITE products, please refer to the website (<a href="https://elite.bnu.edu.cn/">https://elite.bnu.edu.cn</a>).</p> <p> </p> <p>This dataset is ELITE daily surface longwave downward radiation (SLDR) product at 1km spatial resolution. It is provided on a Sinusoidal grid and ranges from 2000 to 2022 (continuously updated). This dataset was generated from the ELITE surface longwave downward radiation (SLDR) product using the algorithms developed by Zeng et al. (2021).</p> <p> </p> <p>This is the ELITE Daily SLDR product in 2019 (DOY: 182-243). Please <a href="../records/11219303"><strong><em>click here</em></strong></a> to download the ELITE Daily SLDR product in 2019 (DOY: 244-304).</p> <p><strong>Dataset Characteristics:</strong></p> <ul> <li>Spatial Coverage: Global</li> <li>Temporal Coverage: 2019-07-01 ~ 2019-08-31</li> <li>Spatial Resolution: 1 km</li> <li>Temporal Resolution: Daily</li> <li>Data Format: h5</li> <li>Projection: Sinusoidal</li> <li>Scale: 0.05</li> <li>Offset: -1000</li> <li>Fill value: 999</li> </ul> <p> </p> <p><strong>Citation </strong>(Please cite these papers when using the data)<strong>:</strong></p> <ol> <li>Zeng, Q., & Cheng, J. (2021). Estimating high-spatial resolution surface daily longwave radiation from the instantaneous Global LAnd Surface Satellite (GLASS) longwave radiation product. <em>International Journal of Digital Earth</em>, <em>14</em>(11), 1674-1704.</li> </ol>
SAT Race 2019 Benchmarks
<p>These are the 400 CNF files in DIMACS format from the SAT race 2019.</p>
Plataformas virtuales para el aprendizaje y el desarrollo de competencias (2019-2024)
Open the record for dataset details and reuse information.
Modelos innovadores para el desarrollo de competencias (2019-2024)
Open the record for dataset details and reuse information.
Multiway Alignment of Twitter networks from 2019 and 2023 Finnish Parliamentary Elections
<p>This dataset includes partition identifiers obtained from retweet networks collected before the 2019 Finnish Parliamentary Elections and before the 2023 Finnish Parliamentary Elections from conversation streams related to Finnish political parties (SDP, National Coalition, Finns Party, Green Party, Left Party, Center Party) and salient topics (economic policy, social security, immigration, climate, education).</p> <p>The column headers in the two files are the same and indicate the topic of the retweet network. Each row in one file represents all the memberships of one particular Twitter account for the corresponding networks. Memberships are obtained by partitioning each retweet network with METIS algorithm into two similar-sized groups with minimal retweet activity between them. For each column, one partition includes all users marked with 0, whereas the other partition includes all users marked with 1. The order of the numbering is random. Missing values mean that the account was not found in the corresponding network.</p> <p>The dataset does not contain any identifying information or original raw data from the Twitter platform. Anonymization was achieved by randomly shuffling the order of the users so that, within each file, a row index identifies a user. Importantly, there no correspondence can be implied between users in 2019 and users in 2023: in general, the user at row 1 in the 2019 dataset is not the same as the user at row 1 in the 2023 dataset.</p>
Figure 6. – Significant French ichthyological records for 2019 in French ichthyological records for 2019
Figure 6. – Significant French ichthyological records for 2019 (continued). A: Pseudoscopelus astronesthidens, 220 mm TL, 24 Oct 2019, MNHN-IC 2021-0148; B: Detail of Head, apf = anteropreopercular photophores, mxf = maxillary (suborbital) photophores, pof = postorbital photophores, ppf = posteropreopercular photophores, vnf = ventronasal photophores (photo reversed); C: Inside the mouth; D: Lower side of trunk, if = isthmus photophores, prvf = prepelvic-fin photophores, ptvf = postpelvic-fin photophores, saf = anal-fin photophores, vaf = ventral axillary photophores; E: Lower side of caudal peduncle, prcf = precaudal (infracaudal) photophores; F: Lower side of head, amf = anteromaxillary photophores, pmf = posteromandibula photophores; G: Upper side of head with a group of three pores above the second nare (© S.P. Iglésias).
Figure 8. – Significant French ichthyological records for 2019 in French ichthyological records for 2019
Figure 8. – Significant French ichthyological records for 2019 (continued). A: Gobius couchi, ~7 cm TL, 15 June 2019 (© S. Le Bris); B: G. couchi, ~8 cm TL, 19 Aug 2019 (© L. Bérenger); C: G. couchi, 26 mm TL, 15 Sep 2019, MNHN-IC 2021-0149 (© S.P. Iglésias); D: Gobius gasteveni, 27 mm TL, 30 Aug 2019 MNHN-IC 2021-0150, in aquarium, reversed image (© S.P. Iglésias); E, F: Lebetus guilleti, 19.5 and 19 mm TL, male and female, 15 Sep 2019, MNHN-IC 2021-0154, and 2021-0155, respectively (© S.P. Iglésias); G: L. guilleti, 21 and 18 mm TL, two males and a female, 30 Aug 2019, MNHN-IC 2021-0151, 2021-0153 and 2021-0152 from left to right respectively, in aquarium (© S.P. Iglésias).
Figure 5. – Significant French ichthyological records for 2019 in French ichthyological records for 2019
Figure 5. – Significant French ichthyological records for 2019 (continued). A: Remora remora, ~45 cm TL, 09 Sep 2019 (© P. Malejacq); B: Caranx crysos, 422 mm TL, 13 Sep 2019, MNHN-IC 2021-0145 (© S.P. Iglésias); C: Naucrates ductor, ~30-35 cm TL, 09 Sep 2019, reversed image (© P. Malejacq); D: Trachurus picturatus, 182 mm TL, 23 Oct 2019, MNHN-IC 2021-0146 (© S.P. Iglésias); E: Seriola rivoliana, ~45 cm TL, 24 Aug 2019 (© L. Alexandre); F: Seriola rivoliana, 45 cm TL, 13 Sep 2019 (© R. Beucher); G: Argyrosomus regius, 155 cm TL, 17 Aug 2019 (© V. Ravel); H: Parablennius pilicornis, ~8 cm TL, 09 Sep 2019 (© P. Thiriet).
Figure 2. – Significant French ichthyological records for 2019. A in French ichthyological records for 2019
Figure 2. – Significant French ichthyological records for 2019. A: Tetronarce nobiliana, 699 mm TL, 25 Nov 2019 (© T. Richard); B: Gymnothorax unicolor, ~40 cm TL, 16 Mar 2019 (© S. Le Bris); C: Maulisia mauli, 95 mm TL, 25 Oct 2019 (© S.P. Iglésias); D: Salmo trutta, ~23 cm TL, 17 Jun 2019 (© L. Metral); E: Grammonus ater, ~6 cm TL, 24 Aug 2019 (© S. Le Bris).
Figure 7. – Significant French ichthyological records for 2019 in French ichthyological records for 2019
Figure 7. – Significant French ichthyological records for 2019 (continued). A: Deltentosteus collonianus, ~6 cm TL, 15 Feb. 2019 (© S. Le Bris); B: D. collonianus, ~7 cm TL, 19 Feb. 2019 (© L. Bérenger); C: D. collonianus, ~6 cm TL, male, 27 Feb. 2019 (© S. Le Bris); D: Didogobius splechtnai, ~4 cm TL, 16 Jun 2019 (© S. Le Bris); E: D. schlieweni, ~4 cm TL, 26 Jun 2019 (© A. Mandine); F: D. schlieweni, ~5 cm TL, 19 Jul 2019 (© S. Le Bris); G: Didogobius schlieweni, ~4 cm TL, 19 Aug 2019 (© S. Le Bris).
Figure 4. – Significant French ichthyological records for 2019 in French ichthyological records for 2019
Figure 4. – Significant French ichthyological records for 2019 (continued). A: Holocentrus adscensionis, ~20 cm TL, Aug 2019 (© L. Lombard); B: Nerophis lumbriciformis, ~10 cm TL, 26 Jan 2019; the black arrow indicates the head of the individual (© L. Bérenger); C: Scorpaena scrofa, 345 mm TL, 6-12 May 2019, MNHN-IC 2021-0143 (© S.P. Iglésias); D: Lepidotrigla dieuzeidei, 150 mm TL, 26 Oct 2019 (© S.P. Iglésias); E: Eutelichthys leptochirus, 63 mm TL, 30 May 2019, MNHN-IC 2021-0144 (© L. Metral); F: Liparis montagui, ~3 cm TL, 10 Jan 2019 (© J.P. Renoult); G: Mycteroperca rubra, ~20 cm TL, 25 Jul 2019 (© F. Beau); H: Serranus cabrilla, ~25 cm TL, 11 Oct 2019 (© F. Bernard).
Рис. 4. Àинамика гибеΛи гусениц коΛьчатого шеΛкопряΔа, собранных в районе УПН, соΔержащихся в Λабораторных усΛовиях. ВертикаΛьно: коΛичество погибших гусениц (% от чисΛа собранных за весь периоΔ иссΛеΔований в 2019 г. гусениц). ГоризонтаΛьно: Δата осмотра в Λаборатории. В правом верхнем угΛу графика: Δата сбора гусениц в районе УПН. — гибеΛь от вируса яΔерного поΛиэΔроза; — гибеΛь от бактериоза Fig. 4. Dynamics of death of the Lackey moth caterpillars collected at the SOM and kept in the laboratory, 2019. Vertical: number of deaths (percentage from the total number of caterpillars collected in 2019 (578 caterpillars)); horizontal: dates of laboratory controls. Upper right corner: collection date. — death from NPV; — death from bacteriosis in Lackey Moth (Malacosoma Neustria L., Lasiocampidae, Lepidoptera) Population During The Eruptive Phase
Рис. 4. Àинамика гибеΛи гусениц коΛьчатого шеΛкопряΔа, собранных в районе УПН, соΔержащихся в Λабораторных усΛовиях. ВертикаΛьно: коΛичество погибших гусениц (% от чисΛа собранных за весь периоΔ иссΛеΔований в 2019 г. гусениц). ГоризонтаΛьно: Δата осмотра в Λаборатории. В правом верхнем угΛу графика: Δата сбора гусениц в районе УПН. — гибеΛь от вируса яΔерного поΛиэΔроза; — гибеΛь от бактериоза Fig. 4. Dynamics of death of the Lackey moth caterpillars collected at the SOM and kept in the laboratory, 2019. Vertical: number of deaths (percentage from the total number of caterpillars collected in 2019 (578 caterpillars)); horizontal: dates of laboratory controls. Upper right corner: collection date. — death from NPV; — death from bacteriosis
Рис. 3. Останцовая сопка Омми, Λевый берег р. Амур (Хабаровский край). 21.06.2019. Вероятное место обнаружения японского ужа А. Б. Кистяковским и Α. А. Смогоржевским (1964) в 1959 г. Фото: Э. В. АΑнагуΛов Fig. 3. The Ommi Butte, left bank of the Amur River (Khabarovskiy Kray). 21 June 2019. Possible location of the discovery of the Japanese Keelback by A. B. Kistyakovsky and L. A. Smogorzhevsky in 1959. Photo by E. V. Adnagulov in Особенности Распространения Японского Ужа Hebius Vibakari (H. Boie, 1826) (Colubridae: Natricinae) В Российской Части Ареаλа
Рис. 3. Останцовая сопка Омми, Λевый берег р. Амур (Хабаровский край). 21.06.2019. Вероятное место обнаружения японского ужа А. Б. Кистяковским и Α. А. Смогоржевским (1964) в 1959 г. Фото: Э. В. АΑнагуΛов Fig. 3. The Ommi Butte, left bank of the Amur River (Khabarovskiy Kray). 21 June 2019. Possible location of the discovery of the Japanese Keelback by A. B. Kistyakovsky and L. A. Smogorzhevsky in 1959. Photo by E. V. Adnagulov
devCellPy De Novo Test Dataset Li etal 2019 PMID: 31142541
<p>The following repository contains the RDS file used for testing the devCellPy cardiac atlas from Li et al, Development, 2019 (PMID: <span><span>31142541)</span></span></p>
Fig. 3 in Eublemma baccatrix Hacker, 2019 (Lepidoptera: Erebidae: Boletobiinae: Eublemmini): recurrent immigrant or rapidly expanding species throughout the Iberian south area? Eublemma baccatrix Hacker, 2019 (Lepidoptera: Erebidae: Boletobiinae: Eublemmini): inmigrante recurrente o especie en rápida expansión por el sur ibérico?
Fig. 3.- Eublemma baccatrix Hacker, 2019. Barranco del Campillo, Campillo de Adentro, Murcia, leg. & phot. José Luis Yela, in coll. Departamento de Biología Animal y Antropología Física, Universidad de Murcia.
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.