Find research datasets worth reusing
Search datasets from major research repositories and use ShareScore to quickly assess how well each record supports discovery, access, and reuse.
84
datasets available to search
ShareScore release 0.7.1
Dataset results
84 results for “playa”
FIGURA 7 in Análisis de los efectos erosivos de la palma (Cocos nucifera L.) en los sistemas playa-duna de República Dominicana
FIGURA 7. Mapa de ubicación de las 31 unidades playa-duna analizadas en la isla de República Dominicana. Location map of the 31 beach-dune units analyzed on the island of the Dominican Republic.
FIGURA 4 in Análisis de los efectos erosivos de la palma (Cocos nucifera L.) en los sistemas playa-duna de República Dominicana
FIGURA 4. Distribución natural y pre-colombina artificial del coco,Cocos nucifera. La región interna de menor tamaño representa el área de origen aparente; la región externa de mayor tamaño representa la distribución artificial antes de 1500 D.C.Fuente:Parrota (1993). Natural and artificial pre-Columbian distribution of the coconut,Cocos nucifera. The smaller inner region represents the apparent area of origin;the larger outer region represents the artificial distribution before A.D.1500.Source:Parrota (1993).
FIGURA 1 in Análisis de los efectos erosivos de la palma (Cocos nucifera L.) en los sistemas playa-duna de República Dominicana
FIGURA 1. Imágenes de raíces de palma de coco expuestas sobre sustratos de playa en playa la Romana,las Terrenas,Cayo Levantado y Bávaro.Imágenes de marzo de 2023. Images of coconut palm roots exposed on beach substrates in La Romana,Las Terrenas,Cayo Levantado and Bávaro beaches.Images from March 2023.
FIGURA 9 in Análisis de los efectos erosivos de la palma (Cocos nucifera L.) en los sistemas playa-duna de República Dominicana
FIGURA 9. Procedencia de las palmas en cuanto a funcionalidad,agraria o turística en base a los valores dependientes de las variables 1 y 2. Origin of the palms in terms of functionality,agricultural or tourist based on the dependent values of variables 1 and 2.
FIGURA 2 in Análisis de los efectos erosivos de la palma (Cocos nucifera L.) en los sistemas playa-duna de República Dominicana
FIGURA 2. Estructura tipo del sistema playa-duna del Caribe,según Martínez & Moreno-Casola (1996). Typical structure of the Caribbean beach-dune system,according to Martínez & Moreno-Casola (1996).
FIGURA 5 in Pérdida de sedimento asociada a la retirada de depósitos de Sargassum spp. en las playas del Caribe
FIGURA 5.Presencia de sargazo en suspensión frentes a costas arenosas de República Dominicana.A. Playa Bávaro.B. Playa Diamante. Presence of sargassum in suspension off sandy coasts of the Dominican Republic.A. Bavaro Beach.B. Diamante Beach.
FIGURA 1 in Pérdida de sedimento asociada a la retirada de depósitos de Sargassum spp. en las playas del Caribe
FIGURA 1. Localización de los países caribeños de México y República Dominicana. Location of the Caribbean countries of Mexico and the Dominican Republic.
FIGURA 9 in Pérdida de sedimento asociada a la retirada de depósitos de Sargassum spp. en las playas del Caribe
FIGURA 9. Relación entre línea de costa y volumen de playa erosionada. Relationship between the coastline and the volume of eroded beach.
FIGURA 4 in Pérdida de sedimento asociada a la retirada de depósitos de Sargassum spp. en las playas del Caribe
FIGURA 4. Acumulación de sargazo en las playas de República Dominicana.A. Playa Cabeza de Toro. B. Playa del Cortecito,Bávaro. Sargassum accumulation on the beaches of the Dominican Republic.A.Cabeza de Toro beach. B. Cortecito beach,Bàvaro.
FIGURA 8 in Pérdida de sedimento asociada a la retirada de depósitos de Sargassum spp. en las playas del Caribe
FIGURA 8. Muestreos de sargazo retirado a 15 cm de profundidad sobre acopios diarios de retirada. Sampling of sargassum withdrawn at a depth of 15 cm on daily withdrawals stockpiles.
FIGURA 2 in Pérdida de sedimento asociada a la retirada de depósitos de Sargassum spp. en las playas del Caribe
FIGURA 2. Mapa del recorrido de Sargassum desde el mar de los Sargazos hasta el Atlántico tropical y el mar Caribe.Fuente:NOAA's Atlantic Oceanographic and Meteorological Laboratory,2021. Map of the Sargassum route from the Sargasso Sea to the tropical Atlantic and the Caribbean Sea.Source:NOAA's Atlantic Oceanographic and Meteorological Laboratory,2021.
FIGURA 7 in Pérdida de sedimento asociada a la retirada de depósitos de Sargassum spp. en las playas del Caribe
FIGURA 7. Acopios de sargazo tratados como residuos.A.Playa de Cabeza Toro,Rep.Dominicana.B. Tulum,México. Sargassum stockpiles treated as waste.A. Cabeza Toro beach,Rep.Dominican.B. Tulum,Mexico.
Monteforfino type helmet, Playa Grande, Sicily
Helmet called Montefortino for the Gallic burial ground of the same name. It must have belonged to a Roman legionary who participated in the war operations of 258 BC. From the site of Playa Grande, Ragusa, Sicily, Italy. Roman Age. 3rd century BC. Museo Archeologico Ibleo di Ragusa. 539 images. GDH ID and Catalog No. MONTEFORTINO HELMET Citation: Di Stefano, G., Sammito, A. & Scerra, S. (2008): ""Tesori camarinesi" … in fondo al mare della storia", in Thesaurus Hyblaeus: 14-27. We want to publicly acknowledge the collaboration of the Soprintendenza per i Beni Culturali ed Ambientali di Ragusa and the "Parco Archeologico di Kamarina e Cava d'Ispica". Our thanks to General CC, retired, Renato Scuzzarello, the archaeologist Dr. Saverio Scerra, the architect Giorgio Battaglia, the restorer Stefania Patti Occhipinti and the archaeologists Veronica Falcone and Alessandra D'Izzia, the custodians of Parco Archeologico Marco Giardina, Giovanna Brugaletta e Rosario Licitra Source: Objaverse 1.0 / Sketchfab
TABLA 1 in Pérdida de sedimento asociada a la retirada de depósitos de Sargassum spp. en las playas del Caribe
<p><b>TABLA 1.</b> Resultados obtenidos para cada acopio de playa y su relación con la longitud.Tipo de retirada.País.Número de muestras tomadas.Volumen del acopio analizado.Porcentaje de sedimento asociado.Volumen de arena en m3.Longitud de playa en m lineales.Metros cúbicos retirados por metro lineal de playa.Sedimento retirado por países. Results obtained for each beach stockpile and its relation to length. Type of withdrawal.Country.Number of samples taken.Volume of the stockpile analyzed.Percentage of associated sediment.Volume of sand in m3.Length of plane in linear m.Cubic meters removed per linear meter of beach.Sediment removed by country.</p><table><tbody><tr><th>Retirada</th><th>País</th><th>Playa</th><th>N muestras</th><th>Vol. acopio m 3</th><th>Sedimento (%)</th><th>Vol. Arena m 3</th><th><b>m playa</b></th><th><b>m 3 /m playa</b></th><th><b>Sedimento</b> <b>% país</b></th></tr></tbody><tbody><tr><th>Manual</th><td></td><td>Puerto Morelos</td><td>6</td><td>156,8</td><td>56,45</td><td>88,51</td><td>650</td><td>0,14</td><td></td></tr><tr><th>Manual</th><td></td><td>Akumal</td><td>4</td><td>2.750</td><td>51,05</td><td>1.403,88</td><td>871</td><td>1,61</td><td></td></tr><tr><th>Manual</th><td>México</td><td>Tulum</td><td>6</td><td>3.550</td><td>48,37</td><td>1.717,14</td><td>1.600</td><td>1,07</td><td></td></tr><tr><th>Manual</th><td></td><td>Cancún</td><td>6</td><td>3.475</td><td>53,53</td><td>1.860,17</td><td>1.075</td><td>1,73</td><td>53,53</td></tr><tr><th>Manual</th><td></td><td>Playa del Carmen</td><td>4</td><td>2.675</td><td>56,78</td><td>1.518,87</td><td>1.250</td><td>1,22</td><td></td></tr><tr><th>Manual</th><td></td><td>Cabeza de Toro</td><td>4</td><td>760</td><td>49,99</td><td>379,92</td><td>1.200</td><td>0,32</td><td></td></tr><tr><th>Manual</th><td></td><td>Punta Cana</td><td>6</td><td>400</td><td>55,75</td><td>223,00</td><td>1.600</td><td>0,14</td><td></td></tr><tr><th>Manual</th><td></td><td>Mitches</td><td>4</td><td>950</td><td>35,86</td><td>340,67</td><td>450</td><td>0,76</td><td></td></tr><tr><th>Manual</th><td>Rep. Dominicana</td><td>Cortecito</td><td>4</td><td>1.200</td><td>45,91</td><td>550,92</td><td>550</td><td>1,00</td><td></td></tr><tr><th>Manual</th><td></td><td>Esmeralda</td><td>4</td><td>450,5</td><td>41,18</td><td>185,52</td><td>450</td><td>0,41</td><td>49,99</td></tr><tr><th>Manual</th><td></td><td>Bavaro</td><td>4</td><td>1.670</td><td>51,83</td><td>865,56</td><td>950</td><td>0,91</td><td></td></tr><tr><th>Manual</th><td></td><td>Diamente</td><td>5</td><td>875</td><td>78,69</td><td>688,54</td><td>210</td><td>3,28</td><td></td></tr><tr><th>Sargacera</th><td></td><td>Puerto Morelos</td><td>6</td><td>15</td><td>49,71</td><td>7,4565</td><td>125</td><td>0,06</td><td></td></tr><tr><th>Sargacera</th><td>México</td><td>Tulum</td><td>6</td><td>15</td><td>68,92</td><td>10,338</td><td>125</td><td>0,08</td><td>68,92</td></tr><tr><th>Sargacera</th><td></td><td>Cancún</td><td>6</td><td>15</td><td>74,4</td><td>11,16</td><td>125</td><td>0,09</td><td></td></tr><tr><th>Sargacera Sargacera</th><td>Rep. Dominicana</td><td>Punta Cana Bavaro</td><td>6 6</td><td>15 15</td><td>65,34 72,81</td><td>9,801 10,9215</td><td>125 125</td><td>0,08 0,09</td><td>69,08</td></tr><tr><th></th><td></td><td></td><td><b>Tot. 87</b></td><td>Tot. 18.987,3</td><td>Mdn. 53,53</td><td>Tot. 9.872,36</td><td><b>Tot. 11.481</b></td><td><b>Mdn. 0,41</b></td><td>Mdn. 61,23</td></tr></tbody></table>
Water chemistry of playa wetlands in the Southern High Plains region of Texas from May - August 2019
<p>Playa wetlands are the primary hydrological features in the Southern High Plains region of Texas. Texas playas are located predominantly on private land and gaining access for aquatic habitat surveys can be challenging. The associated data are provided to increase publicly-available water chemistry measurements from regional playa wetlands in rural environs. </p>
Water chemistry of playa wetlands in the Southern High Plains region of Texas from May - August 2019
Open the record for dataset details and reuse information.
CEOS Cal Val Test Site - Railroad Valley Playa, USA - Instrumented Site
On the background of these requirements for sensor calibration, intercalibration and product validation, the subgroup on Calibration and Validation of the Committee on Earth Observing System (CEOS) formulated the following recommendation during the plenary session held in China at the end of 2004, with the goal of setting-up and operating an internet based system to provide sensor data, protocols and guidelines for these purposes: Background: Reference Datasets are required to support the understanding of climate change and quality assure operational services by Earth Observing satellites. The data from different sensors and the resulting synergistic data products require a high level of accuracy that can only be obtained through continuous traceable calibration and validation activities. Requirement: Initiate an activity to document a reference methodology to predict Top of Atmosphere (TOA) radiance for which currently flying and planned wide swath sensors can be intercompared, i.e. define a standard for traceability. Also create and maintain a fully accessible web page containing, on an instrument basis, links to all instrument characteristics needed for intercomparisons as specified above, ideally in a common format. In addition, create and maintain a database (e.g. SADE) of instrument data for specific vicarious calibration sites, including site characteristics, in a common format. Each agency is responsible for providing data for their instruments in this common format. Recommendation : The required activities described above should be supported for an implementation period of two years and a maintenance period over two subsequent years. The CEOS should encourage a member agency to accept the lead role in supporting this activity. CEOS should request all member agencies to support this activity by providing appropriate information and data in a timely manner. Instrumented Sites: Railroad Valley Playa, USA is one of eight instrumented sites that are CEOS Reference Test Sites. The CEOS instrumented sites are provisionally being called LANDNET. These instrumented sites are primarily used for field campaigns to obtain radiometric gain, and these sites can serve as a focus for international efforts, facilitating traceability and inter-comparison to evaluate biases of in-flight and future instruments in a harmonized manner. In the longer-term it is anticipated that these sites will all be fully automated and provide surface and atmospheric measurements to the WWW in an autonomous manner reducing some of the cost of a manned campaign, at present three can operate in this manner.
Figure 11 in Maratus playa, a new peacock spider in the fimbriatus group from Australia (Araneae: Salticidae: Euophryini)
Figure 11. Female types for Maratus playa, in alcohol.
FIGURA 6 in Pérdida de sedimento asociada a la retirada de depósitos de Sargassum spp. en las playas del Caribe
FIGURA 6. Diferentes tipos de recolección de sargazo en playas de México,Rivera Maya Different types of sargassum collection in beaches of Mexico,Rivera Maya
FIGURA 8 in Análisis de los efectos erosivos de la palma (Cocos nucifera L.) en los sistemas playa-duna de República Dominicana
FIGURA 8. Representación de los valores obtenidos de las variables en base a los valores dependientes de las variables 1 y 2. Representation of the values obtained from the variables based on the dependent values of variables 1 and 2.
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.