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zenodo48/100

Na Wind-Temperature Lidar Data at Andes Lidar Observatory on 3/1/2016

<p>Measurement made by the Na Wind-Temperature Lidar at the Andes Lidar Observatory in Cerro Pach&oacute;n, Chile.&nbsp; It includes Na density, temperature, zonal, meridional, and vertical wind, from 80 to 115 km altitude at 0.5 km interval and from 23.8 UT 2/29/2016 to 8.9 UT 3/1/2016 at 0.1 hour interval.&nbsp; Errors of these values are also included.&nbsp; -999 represents missing value.&nbsp;&nbsp;</p>

opencc-by-4.0Jun 2020View details →
zenodo48/100

Na Wind-Temperature Lidar Data at Andes Lidar Observatory on 10/30/2016

<p>Measurement made by the Na Wind-Temperature Lidar at the Andes Lidar Observatory in Cerro Pach&oacute;n, Chile.&nbsp; It includes Na density, temperature, zonal, meridional, and vertical wind, from 80 to 115 km altitude at 0.5-km intervals and from 23.7&nbsp;UT 10/29/2016 to 8.9 UT 10/30/2016 at 0.1-hour intervals.&nbsp; Errors of these values are also included.&nbsp; -999 represents missing values.&nbsp;&nbsp;</p>

opencc-by-4.0Oct 2016View details →
zenodo44/100

Data and ancillary data for publication: Natural infrastructure and water erosion mitigation in the Andes

<p>The data contain information on the effectiveness of natural infrastructure to mitigate soil erosion. Data were compiled from 118 case studies from the Andean region, whereby information on natural infrastructure interventions, soil erosion and soil quality were tabulated and analysed.</p> <p>The data contains the following documents:<br> -Database with data on soil erosion, soil quality for different types of natural infrastructure (118 case studies)<br> -Metadata<br> -Summary of terms used in the systematic review of the literature (in Spanish and English)<br> -List of bibliographic data sources that were searched with the search terms<br> -Full bibliographic references of all 118 case studies</p> <p><strong>Full reference </strong></p> <p><em>Vanacker V, Molina A, Rosas-Barturen M, Bonnesoeur V, Rom&aacute;n-Da&ntilde;obeytia F, Ochoa-Tocachi B, Buytaert W (2022). The effect of natural infrastructure on water erosion mitigation in the Andes. </em></p> <p>&nbsp;</p> <p>&nbsp;</p>

opencc-by-4.0Feb 2022View details →
zenodo44/100

Glacier runoff projections and their multiple sources of uncertainty in the Patagonian Andes (40-56°S)

<p>This dataset contains the catchment scale results of the study: "<strong>Unravelling the sources of uncertainty in glacier runoff projections in the Patagonian Andes (40&ndash;56&deg; S)</strong>". The results are disaggregated in the following files (for more details, please read the README file):</p> <p><em>- basins_boundaries.zip:</em> Contains the polygons (in .shp format) of the studied catchments. Each catchment is identified by its "basin_id".</p> <p><em>- dataset_historical.csv: </em>Summarises the historical conditions of each glacier at the catchment scale (area, volume and reference climate).</p> <p><em>- dataset_future.csv: </em>Summarises the future glacier climate drivers and their impacts at the catchment scale.&nbsp;</p> <p><em>- dataset_signatures.csv:&nbsp;</em>Summarises the&nbsp; glacio-hydrological signatures of each glacier at the catchment scale.</p> <p><strong>Citation (preprint under review):&nbsp;</strong></p> <p>- Aguayo, R., Maussion, F., Schuster, L., Schaefer, M., Caro, A., Schmitt, P., Mackay, J., Ultee, L., Leon-Mu&ntilde;oz, J., and Aguayo, M.: Assessing the glacier projection uncertainties in the Patagonian Andes (40&ndash;56&deg; S) from a catchment perspective, EGUsphere [preprint], https://doi.org/10.5194/egusphere-2023-2325, 2023.</p>

opencc-by-4.0Sep 2023View details →
zenodo44/100

Projected distribution of invasive plant species in the tropical Andes under climate change

<p>Distribution maps of 11 invasive species now and in the future (2040-70). The projections were the result of the assembly of three algorithms: Adaptive Boosting (AdaBoost), Boosted Regression Trees (BRT), and Extreme Gradient Boosting (XGBoost). Future projections were made for three global circulation models and three climate change scenarios, each with low (SSP126), medium (SSP370), and high (SSP585) levels of carbon emission.</p> <p>Habitat suitability and presence/absence maps are also included. The threshold for establishing a species as present was determined to be the value that maximized the TSS.&nbsp;</p> <p>For more information, see the article accompanying the dataset by Gonz&aacute;lez-Trujillo et al. Mapping the threat: Projecting invasive plant distribution in the tropical Andes under climate change</p> <p>List of modeled invasive plant species and their known impacts in the tropics.</p> <table> <tbody> <tr> <td> <p><strong>Species </strong></p> </td> <td> <p><strong>Biogeographic origin</strong></p> </td> <td> <p><strong>Impacts </strong></p> </td> <td> <p><strong>References</strong></p> </td> <td> <p><strong>GBIF data (DOIs)</strong></p> </td> </tr> <tr> <td> <p><em>Acacia decurrens </em></p> </td> <td> <p>Australian</p> </td> <td> <p>Create regular layers of litter on the ground, inhibit or redirect successional processes, inhibit the expression of seed banks, and limit resource supply, leading to displacement of native plants and animals and increasing the frequency of fires.</p> </td> <td> <p>&nbsp;(C&aacute;rdenas L&oacute;pez et al., 2017; Le Maitre et al., 2011)</p> </td> <td> <p>https://doi.org/10.15468/dl.mjyxhw</p> </td> </tr> <tr> <td> <p><em>Acacia melanoxylon</em></p> </td> <td> <p>Australian</p> </td> <td> <p>Alter the structure and function of their ecosystems, thereby displacing their native flora. It also causes soil erosion and alters hydrological cycles, negatively affecting agriculture.</p> </td> <td> <p>(Kumschick and Jansen, 2023; Le Maitre et al., 2011)</p> <p>&nbsp;</p> </td> <td> <p>https://doi.org/10.15468/dl.4cugnk</p> </td> </tr> <tr> <td> <p><em>Arundo donax</em></p> <p><em>&nbsp;</em></p> </td> <td> <p>Holarctic</p> </td> <td> <p>Alter<em> </em>the natural vegetation structure, outcompete native plant species and diminish the diversity and abundance of animals such as arthropods and birds. It also drives out soil, fuels forest fires, displaces native species, and increases the invasion of ticks that affect livestock.</p> </td> <td> <p>(C&aacute;rdenas L&oacute;pez et al., 2017; Girotto et al., 2021; Lambert et al., 2010)</p> </td> <td> <p>https://doi.org/10.15468/dl.bfep4t</p> </td> </tr> <tr> <td> <p><em>Genista monspessulana</em></p> </td> <td> <p>Holarctic</p> </td> <td> <p>Alter fire regime and nutrient cycling displace native species and decrease native diversity by forming dense monospecific stands. It also facilitates the establishment of other invasive species and produces seeds that are toxic to livestock and humans.</p> </td> <td> <p>(C&aacute;rdenas L&oacute;pez et al., 2017; Herrera et al., 2016; Pauchard et al., 2008)</p> </td> <td> <p>https://doi.org/10.15468/dl.gyhnxh</p> </td> </tr> <tr> <td> <p><em>Hedychium coronarium </em></p> </td> <td> <p>Indo-Malesian</p> </td> <td> <p>Alter hydrological and nutrient cycles in soil. It forms thickets that suppress the successional and regeneration processes of native species, thus affecting the native flora and crops.</p> </td> <td> <p>(C&aacute;rdenas L&oacute;pez et al., 2017; Costa et al., 2019)</p> </td> <td> <p>https://doi.org/10.15468/dl.6z2jgb</p> </td> </tr> <tr> <td> <p><em>Melinis minutiflora</em></p> </td> <td> <p>African</p> </td> <td> <p>Increases the occurrence of fires, displaces native species, and alters soil properties and decomposition. It also inhibits the growth of native species.</p> </td> <td> <p>(C&aacute;rdenas L&oacute;pez et al., 2017; Nogueira et al., 2019; Sandoval et al., 2022)</p> </td> <td> <p>https://doi.org/10.15468/dl.fsqwsv</p> </td> </tr> <tr> <td> <p><em>Pteridium aquilinum</em></p> </td> <td> <p>Holarctic</p> </td> <td> <p>Alter vegetation success processes affect crops and cause livestock poisoning.&nbsp; It also produces acids that inhibit root growth in native and cultivated species.</p> </td> <td> <p>&nbsp;(Berget et al., 2015; C&aacute;rdenas L&oacute;pez et al., 2017; Valdez-Ram&iacute;rez et al., 2020)</p> <p>&nbsp;</p> </td> <td> <p>https://doi.org/10.15468/dl.sp4uuv</p> </td> </tr> <tr> <td> <p><em>Ricinus communis</em></p> </td> <td> <p>African</p> </td> <td> <p>Alter vegetation success processes affect crops and cause livestock poisoning. It also produces acids that inhibit root growth in native and cultivated species.</p> </td> <td> <p>(C&aacute;rdenas L&oacute;pez et al., 2017; Sandoval et al., 2022; Silva and Fabricante, 2022)</p> </td> <td> <p>https://doi.org/10.15468/dl.dhbphb</p> </td> </tr> <tr> <td> <p><em>Senecio madagascariensis</em></p> </td> <td> <p>African</p> </td> <td> <p>Alter soil nutrient cycles, damage to agricultural crops, and outcompete native species. It also contains substances that are toxic to both animals and humans.&nbsp;</p> </td> <td> <p>(Wijayabandara et al., 2021)</p> </td> <td> <p>https://doi.org/10.15468/dl.7e8eyx</p> </td> </tr> <tr> <td> <p><em>Thunbergia alata</em></p> </td> <td> <p>African</p> </td> <td> <p>Displace native species and reduce habitat heterogeneity, thereby affecting the structure and function of native ecosystems.</p> </td> <td> <p>(C&aacute;rdenas L&oacute;pez et al., 2017; Quijano-Abril et al., 2021)</p> </td> <td> <p>https://doi.org/10.15468/dl.g9zybc</p> </td> </tr> <tr> <td> <p><em>Ulex europeaus</em></p> </td> <td> <p>Holarctic</p> </td> <td> <p>Dry soil and increase the occurrence of fires. Inhibits vegetative growth, including pastures in agricultural and livestock lands.</p> </td> <td> <p>(Anderson and Anderson, 2009; C&aacute;rdenas L&oacute;pez et al., 2017)</p> </td> <td> <p>https://doi.org/10.15468/dl.6642q9</p> </td> </tr> </tbody> </table>

opencc-by-4.0Apr 2024View details →
zenodo44/100

Miocene construction of the High Andes recorded by exhumation of the Frontal Cordillera, La Ramada Massif of western Argentina (32°S) (Supporting Information)

<p>Supporting datasets for Howlett et al., "Miocene construction of the High Andes recorded by exhumation of the Frontal Cordillera, La Ramada Massif of western Argentina (32&deg;S)" in&nbsp;<em>TECTONICS.</em></p>

opencc-by-4.0Oct 2024View details →
zenodo44/100

Data files for A "Boreing" Night of Observations of the Upper Mesosphere and Lower Thermosphere Over the Andes Lidar Observatory

<p>The files in this set are data obtained from the ANI2 airglow imager located at the Andes Lidar Observatory.in Chile (30.23S, 70.73W, 2530 m). The files are&nbsp;&nbsp;named for a JGR paper by J. Hecht et al.&nbsp; entitled&nbsp;A &quot;Boreing&quot; Night of Observations of the UpperMesosphere and Lower Thermosphere Over the Andes Lidar Observatory. The files are published here so as to be available for review. This paper should appear in JGR Atmospheres sometime in late 2023&nbsp;or early 2024. The files that&nbsp; are text files are meant to be&nbsp; read with IDL as discussed in the readme file.&nbsp;</p>

opencc-by-4.0Feb 2023View details →
zenodo40/100

Fig. 6 in Two new species of Leptanilloides Mann, 1823 (Formicidae: Dorylinae) from the Andes of southern Ecuador

Fig. 6. Leptanilloides prometea Delsinne &amp; Donoso sp. nov. Paratype worker (specimen code 4052301). A. Head, ventral view. B. Mesotibial pectinate spur. C. Anterior part of the head in full-face view, showing vertical and fused frontal carinae, exposed antennal socket, well-developed lateroclypeal tooth, strongly convex clypeal lamella and subtriangular mandible with minute denticles along its inner margin. D. Lower part of propodeum in lateral view, showing the flange over the metapleural gland opening. E. Petiole in lateral view. F. Simple claw (hindleg).

opencc-by-3.0Oct 2015View details →
zenodo40/100

Fig. 9 in Two new species of Leptanilloides Mann, 1823 (Formicidae: Dorylinae) from the Andes of southern Ecuador

Fig. 9. Wings of Leptanilloides 'Male 4' (specimen code 4870101) and terminology used in the description. A. Forewing. B. Hindwing. Abbreviations: 2r-rs = second radial-radial sector crossvein, A = anal vein, C = costal vein, Cu = cubital vein, cu-a = cubital-anal crossvein, M = medial vein, M·f1 = first free abscissa of medial vein, M+Cu = fused medial-cubital veins, Pst = pterostigma, Rs+M = fused medial and radial sector veins, Rs = radial sector, Rs·f1 (to Rs·f5) = first (to fifth) free abscissa of radial sector vein, Sc+R = fused subcostal and radial veins, Sc+R1: fused subcostal and first radial veins.

opencc-by-3.0Oct 2015View details →
zenodo40/100

Fig. 1 in Two new species of Leptanilloides Mann, 1823 (Formicidae: Dorylinae) from the Andes of southern Ecuador

Fig. 1. Relationship between HL and WL among workers in species of Leptanilloides and Asphinctanilloides. Specimens measured are holotypes or paratypes. Measurements are in mm. WL is called Mesosoma Length (ML) in Borowiec &amp; Longino (2011) and Silva et al. (2013). Triangles: the two Leptanilloides described in this paper (L. copalinga Delsinne &amp; Donoso sp. nov. and L. prometea Delsinne &amp; Donoso sp. nov.); diamonds: Leptanilloides biconstricta species-group (La: L. atlantica, Lb: L. biconstricta, Lc: L. caracola, Le: L. erinys, Lf: L. femoralis, Lg: L. gracilis, Li: L. improvisa, Ls: L. sculpturata); dots: Leptanilloides legionaria species-group (Ll: L. legionaria, Lm: L. mckennae, Lno: L. nomada, Lnu: L. nubecula); stars: Asphinctanilloides species (Aa: A. amazon Brandão et al., 1999, Aan: A. anae Brandão et al., 1999, Am: A. manauara Brandão et al., 1999).

opencc-by-3.0Oct 2015View details →
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Fig. 8 in Two new species of Leptanilloides Mann, 1823 (Formicidae: Dorylinae) from the Andes of southern Ecuador

Fig. 8. Leptanilloides 'Male 4'(specimencode 4870101) from southern Ecuador. A. Head in full face view. B. Habitus in dorsal view. C. Habitus in lateral view.

opencc-by-3.0Oct 2015View details →
zenodo40/100

Fig. 5 in Two new species of Leptanilloides Mann, 1823 (Formicidae: Dorylinae) from the Andes of southern Ecuador

Fig. 5. Habitus in lateral view of paratype (specimen code 4060601) of Leptanilloides prometea Delsinne &amp; Donoso sp. nov. Note the rounded anterior projection of the subpetiolar process, which differs from the acute shape observed in the specimen on Figs 4C and 6E.

opencc-by-3.0Oct 2015View details →
zenodo40/100

Fig. 3 in Two new species of Leptanilloides Mann, 1823 (Formicidae: Dorylinae) from the Andes of southern Ecuador

Fig. 3. Leptanilloides copalinga Delsinne &amp; Donoso sp. nov. Paratype worker (specimen code 4006301). A. Anterior part of the head in full-face view, showing vertical and fused frontal carinae, exposed antennal socket, lateroclypeal tooth, strongly convex clypeal lamella and subtriangular mandible with minute denticles along its inner margin. B. Lower part of propodeum in lateral view, showing the long and sharp flange over the metapleural gland opening. C. Petiole in lateral view. D. Propodeum and petiole in dorsal view. E. Abdominal segment III (postpetiole) in lateral view. F. Mesotibial spur, short and pectinate.

opencc-by-3.0Oct 2015View details →
zenodo40/100

Fig. 4 in Two new species of Leptanilloides Mann, 1823 (Formicidae: Dorylinae) from the Andes of southern Ecuador

Fig. 4. Leptanilloides prometea Delsinne &amp; Donoso sp. nov. – A–C. Paratype worker (specimen code 4052301). A. Habitus, dorsal view. B. Head in full-face view. C. Habitus, lateral view. – D. Apex of hindtibia; reservoir of metatibial gland is visible under translucent cuticle at the base of the tibial spur (paratype, specimen code 4052313).

opencc-by-3.0Oct 2015View details →
zenodo40/100

Fig. 2 in Two new species of Leptanilloides Mann, 1823 (Formicidae: Dorylinae) from the Andes of southern Ecuador

Fig. 2. Leptanilloides copalinga Delsinne &amp; Donoso sp. nov. A–C. Paratype worker (specimen code 4006302). D–F. Holotype worker (specimen code 4006304). A, D. Habitus, dorsal view. B, E. Head in full-face view. C, F. Habitus, lateral view.

opencc-by-3.0Oct 2015View details →
zenodo40/100

Fig. 7 in Two new species of Leptanilloides Mann, 1823 (Formicidae: Dorylinae) from the Andes of southern Ecuador

Fig. 7. Leptanilloides prometea Delsinne &amp; Denoso sp. nov. Scanning electron micrographs of the metatibial apex of paratype worker (specimen code 4052301), showing the meta- tibial gland pore plate (arrow) at different magnifications.

opencc-by-3.0Oct 2015View details →
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Fig. 12. Neighbour-joining tree showing p in Two new species of Leptanilloides Mann, 1823 (Formicidae: Dorylinae) from the Andes of southern Ecuador

Fig. 12. Neighbour-joining tree showing p-distances among DNA sequences of the wingless nuclear marker obtained for specimens of Leptanilloides Mann, 1823, Amyrmex Kusnezov, 1953 and Cylindromyrmex Mayr, 1870 (as outgroup), available in GenBank and sequenced here (specimen code 4052311). Labels provide species identifications and field IDs (in bold) or GenBank or BOLD numbers. Values at nodes correspond to the bootstrap values (%) and posterior probabilities obtained in the Neighbourjoining/parsimony/maximum likelihood/Bayesian inference analyses. Bootstrap values &lt;80% and posterior probabilities &lt;0.95 are not indicated.

opencc-by-3.0Oct 2015View details →
zenodo40/100

Fig. 11. Neighbour-joining tree showing p in Two new species of Leptanilloides Mann, 1823 (Formicidae: Dorylinae) from the Andes of southern Ecuador

Fig. 11. Neighbour-joining tree showing p-distances among DNA sequences of the mitochondrial COI barcode fragment obtained for all specimens of Leptanilloides Mann, 1823 sequenced here and available in GenBank and BOLD. The tree was rooted with a COI sequence of Cylindromyrmex striatus Mayr, 1870 (GenBank accession number AY233723). Labels provide species identifications and field IDs (in bold) or GenBank or BOLD numbers. Values at nodes indicate bootstrap support only if it was above 80%.

opencc-by-3.0Oct 2015View details →
zenodo40/100

Figs 54–55. Dyscolus spp., habitus. 54. D in Integrative taxonomy of the genus Dyscolus (Coleoptera, Carabidae, Platynini) in Ecuadorian Andes

Figs 54–55. Dyscolus spp., habitus. 54. D. verecundior Moret sp. nov., male holotype (MNHN, COI voucher PM136-04). 55. D. verecundissimus Moret sp. nov., male holotype (MNHN).

opencc-by-4.0May 2020View details →
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Figs 29–31. 29 in Integrative taxonomy of the genus Dyscolus (Coleoptera, Carabidae, Platynini) in Ecuadorian Andes

Figs 29–31. 29. Dyscolus crespoae Moret sp. nov., habitus of the female holotype (QACZ). 30– 31. D. ravidus Moret sp. nov. 30. Habitus of the male holotype (QACZ). 31. Aedeagus, median lobe in lateral view.

opencc-by-4.0May 2020View details →

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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.

allen-brain-atlas
neuroscienceopenDocumentation, web resources, and API references are available online.
Last verified 2026-04-30Open record

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.

abode-home-cage
behavioral-neuroscienceopenThe DataShare record exposes download links for annotations, documentation, license text, and the zipped per-snippet data directory.
Last verified 2026-04-30Open record

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.

dandi-nwb
electrophysiologyopenPublished Dandiset metadata and archive endpoints are available through the production DANDI API.
Last verified 2026-04-30Open record

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.

ibl
behavioral-neuroscienceopenPublic sessions can be searched and loaded from the IBL public data server through ONE.
Last verified 2026-04-29Open record

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.

openneuro
neuroscienceopenPublished datasets are available on demand over the internet.
Last verified 2026-04-29Open record