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4,349 results for “Costa Rica”
Long-term dynamics of tropical rain forests in permanent inventory plots, La Selva, Costa Rica (1969-1995)
Three permanent plots comprising a total of 12.4 ha were established in 1969 in tropical rain forest at La Selva Biological Station, near Puerto Viejo de Sarapiquí, in the Caribbean lowlands of Costa Rica. The plots were established in old-growth forest on three contrasting landforms: Plot 1 (4.4 ha) on old alluvial terrace; Plot 2 (4.0 ha) in swamp forest and rolling hills; and Plot 3 (4.0 ha) on steeply dissected terrain with residual soils. The data archived here include plot inventories carried out at five census dates over a period of 27 years. The inventory starting dates were 1969; 1982; 1985; 1989; and 1995. All stems 10 cm dbh or greater were tagged with a permanent numbered tag; measured in diameter at breast height and above buttresses to the nearest mm; mapped on the ground to the nearest m; and identified to species. At each census, live trees were re-measured, dead trees were recorded along with information on the manner of death, other details on the condition of the tree were noted, and new recruits were tagged, mapped, measured, and identified. The archived data include these five components: (1) The master data file, including comprehensive data on all tagged individuals in the three plots for the five censuses from 1969-1995. Each line in the data set represents an individual tagged tree or liana. The data array comprises 8689 lines (the number of tagged individuals) x 48 columns of data. The lines in the data set are ordered first by Plot number (1, 2, 3); next by subplot within each plot; and then by tag number within each subplot. (2) A list of column identifiers, describing in detail the information represented in each of the 48 columns within the master data file. The list gives a description of the data in each column, the units of measurement, and a guide to the interpretation of zeroes in the data. (3) A key to codes used in the field to describe the condition of individual trees. (4) A taxonomic reference list, including all species found
Seedling composition, growth, and dynamics in tropical rain forest, La Selva, Costa Rica (1983-1996)
Recruitment, growth, and survivorship of the regeneration stages of trees and lianas were studied in old-growth tropical rain forest at La Selva Biological Station of the Organization for Tropical Studies (OTS), near Puerto Viejo de Sarapiquí, Heredia Province, in the Caribbean lowlands of Costa Rica. A total of 48 permanent seedling transects each measuring 10 m x 0.5 m were established at random locations within three La Selva permanent forest inventory plots. The forest plots occupy contrasting landforms: Plot 1 (4.4 ha), old alluvial terrace; Plot 2 (4.0 ha), swamp forest and low hills; and Plot 3 (4.0 ha), steeply dissected terrain with residual volcanic soils. Seedling locations are georeferenced within the grid system of the permanent forest inventory plots, facilitating spatial analysis of seedling populations with respect to adult cohorts. Beginning in June 1983, all seedlings ≤ 0.5 m in height belonging to tree and liana species capable of reaching 10 cm diameter at breast height (dbh) at maturity were tagged, identified to species or morphospecies, mapped to the nearest cm, and measured in height to the nearest cm. Over a period of 18 months, a total of 6403 seedlings belonging to 167 species were tagged. Monitoring and re-measurement of all tagged individuals continued through November 1996. Data include 17 census dates over a period of 13.5 years. At the time of the final census, only 97 individuals (1.52% of the tagged seedlings) were still alive, representing 43 species (25.7% of the initial number). The largest surviving seedling had grown in height from 4 cm to 13 meters during the study period. This dataset on the regeneration stages in old-growth tropical rain forest in the La Selva permanent inventory plots forms a complement to the studies of long-term growth and demography of these species and assemblages at adult stages within the plots. Forest inventory data for trees and lianas ≥ 10 cm dbh in the permanent plots in which the seedling transec
Towers Forestry Plot, Long-term Vegetation Monitoring in a 1-ha old-growth Rainforest, La Selva Research Station, OTS, Sarapiquí, Heredia, Costa Rica, 2010–2020
The Towers Plot is a 1-hectare permanent vegetation plot established in 2010 under the canopy towers at La Selva Research Station, Sarapiquí, Heredia, Costa Rica. The plot was created by the Organization for Tropical Studies (OTS) to monitor long-term changes in forest structure, composition, and dynamics in an old-growth tropical rainforest. All woody stems with a diameter at breast height (DBH) of 10 cm or greater—including trees, palms, and lianas—were tagged, mapped, and measured following standardized procedures. Censuses were conducted between 2010 and 2020 to document growth, mortality, and recruitment. The dataset includes taxonomic identifications, stem diameter measurements, spatial coordinates within the plot, and metadata describing field methods and species composition. The plot was established beneath three canopy towers that had been previously constructed through the NSF-funded Major Research Instrumentation (MRI) project, NSF 0722741, which provided key infrastructure for canopy and environmental research at La Selva. This proximity created a valuable opportunity to integrate vegetation monitoring with existing environmental instrumentation. Johana Hurtado, coordinator of the Tropical Ecology, Assessment and Monitoring (TEAM) project at La Selva, collaborated with OTS staff in the establishment of the plot, ensuring methodological consistency with other tropical forest monitoring sites. This dataset provides a comprehensive record of woody plant diversity and forest structure in a lowland old-growth Neotropical rainforest. It supports research on forest dynamics, carbon storage, and ecosystem change. The overall monitoring project is ongoing; this data package contains observations from 2010 through 2020.
Long-term trends in pesticide residues and physical chemical parameters of superficial water samples with accompanying macro-benthic invertebrate community surveys from the Palo Verde National Park, Costa Rica: 1993-1994; 2001; 2004-2005; 2009-2011
During the years 1993-1994, 2001, 2003-2005 and 2009-2011, the Central American Institute for Studies on Toxic Substances (IRET-UNA) executed independent research projects which quantified the presence of pesticide residues on superficial water samples from the Palo Verde National Park (PVNP) and surrounding areas. The PVNP (5460 sq km) is a RAMSAR wetland of international importance, which has been subjected to pesticide pressure from agricultural fields (mainly rice and sugarcane) since the 1960s and 1970s. In 1993, the PVNP wetlands were placed on the RAMSAR Montreux Record, indicating that it was considered an “impaired ecosystem” due to ecotoxicology concerns. Water is the key component of all issues regarding the biodiversity, management, restoration, and economic development of this region. Therefore, water quality is a critical component of many social ecological discussions and research efforts. This data package contains uniform pesticide, biological and water quality data from all PVNP wetland projects (1993- 2011) in order to present long-term trends in the environmental water quality and accompanying biological patterns for this conservation area. Study sites were spatially determined to compare clean upstream waters with a gradient of pesticide-affected waters. Superficial water samples were collected at various sites for chemical (pesticide) analysis and water quality parameters were recorded in situ for environmental monitoring. Corresponding biological sampling was completed to survey benthic macroinvertebrate communities and compare with local eco-toxicological profiles. This data package contains information from four separate projects.
Leslie Holdridge arboretum tree census, La Selva Research Station, Organization for Tropical Studies, Sarapiquí, Heredia, Costa Rica, 1972-2017.
This database is a collection of dendrometric and structural measurements for all the trees in the arboretum, it was compiled through the assessment of 10 census from 1972 to 2017 by O. Vargas and E. Castro for the Organization for Tropical Studies. The 3.5-hectare Holdridge Arboretum is located at La Selva Research Station. Leslie R. Holdridge, the original owner of the property, created the arboretum in 1968. Initially, it was a small cacao grove with an exceptionally rich overstory of native shade trees. To facilitate research in the arboretum, staff later removed the cacao. In 1970, Gary Hartshorn continued to plant seedlings of many native tree species. OTS continues to plant, tag, and measure trees. OTS maintains the arboretum by regular mowing and pruning to facilitate safe access. Courses, natural history visitors, students, and researchers use the arboretum for a wide range of observational studies, manipulations, dendrological practices, and taxonomy classes.
Tree Census Data of Tropical Dry Forest Succession in Permanent Plots at Palo Verde National Park, Costa Rica (1999–2004), Organization for Tropical Studies (OTS)
This data package contains tree census data from eight permanent forest plots established in 1999 across four successional sites within the tropical dry forest of Palo Verde National Park, Guanacaste, Costa Rica (10°21’N, 85°21’W). The plots were established to study forest structure, composition, and successional dynamics under different disturbance histories in the lowland dry forest ecosystem of northwestern Costa Rica. Each site represents a distinct successional stage, ranging from an early grass-dominated field (Jaragua) to an older partially disturbed remnant forest stand (Varillal). Two permanent 50×50 m plots were established at each site and subdivided into 10×10 m subplots. All woody stems with diameter at breast height (DBH) ≥ 10 cm were tagged, identified to species, and spatially referenced using X–Y coordinates within each plot. For multi-stemmed individuals, all stems meeting the diameter threshold were measured separately. Tree diameter, condition, and taxonomic identification were recorded during four measurement campaigns in 1999, 2001, 2002, and 2004. The dataset includes species identity, DBH, measurement year, individual condition, and subplot coordinates for each stem. These data provide a baseline for understanding forest regeneration, mortality, recruitment, and species composition changes in tropical dry forest succession under varying land-use histories. The dataset represents the historical component of an ongoing long-term monitoring program of forest succession conducted by the Organization for Tropical Studies at Palo Verde National Park, led, developed and supported by Eugenio González since its establishment in 1999.
Hydrological modeling on Costa Rica using HYPE
<p>This study aims to explore the use of the large-scale process-based HYPE (Hydrological Predictions for the Environment) model (Lindström et al., 2010) for Costa Rica. Due to the lack of ground meteorological data, precipitation and temperature from global products were used as model forcings. Moreover, PET and ET from MODIS additionally to streamflow timeseries were used to calibrate and validate the model. To deal with the lack of a common period between streamflow and PET-ET, different step-wise calibration procedures were tested to evaluate the most effective strategy to constraint the parameters space and reduce the model uncertainty.</p> <p>Our specific objectives were to:</p> <p>1. Adjust the open-source conceptual rainfall-runoff model HYPE to simulate catchments at the national scale of Costa Rica.</p> <p>2. Use remotely-sensed data and global products to drive and evaluate the model using four different step-wise calibration strategies.</p> <p>3. Analyze the effect of remotely-sensed PET and ET data on model calibration and its capabilities to improve the water balance and the hydrological signatures.</p>
Datos generales sobre revistas de la Universidad Nacional, Costa Rica
<p>Consiste en un mapeo general de características de las revistas que se publican en la Universidad Nacional. Facilita información mínima como el ISSN, sitio web, nombre de la revista y año de inicio.</p>
Ecological, flowering phenology, morphological and seed production of three sympatric dioecious Chamaedorea palms from Costa Rica
<p>The data in the file was used to estimate the factors shaping seed production in three sympatric dioecious Chamaedorea palms in Costa Rica during the 2011-2012 season. The file contains the following fields:</p> <ol> <li>Species. The name of the species: C. costaricana, C. macrospadix and C. tepejilote</li> <li>ID. Identifier for each studied individual female plant.</li> <li>infl. Identifier for each sampled inflorescence from each sampled female.</li> <li>census.date: flowering date of each inflorescence.</li> <li>days.since.oct14: number of days since the first Chamaedorea inflorescence flowered.</li> <li>days.since.1st.flr: number of days since the first Chamaedorea inflorescence of each species flowered.</li> <li>sync.costa: flowering overlap with C. costaricana males.</li> <li>sync.macro: flowering overlap with C. macrospadix males.</li> <li>sync.tepe: flowering overlap with C. tepejilote males.</li> <li>neartest.female: distance to the nearest synchronously flowering <span>conspecific </span>female.</li> <li>male.5m: number of synchronously flowering <span>conspecific </span>male individuals in a 5m radius</li> <li>male.10m: number of synchronously flowering <span>conspecific </span>male individuals in a 10m radius</li> <li>female.5m.edco: number of synchronously flowering <span>conspecific </span>female individuals in a 5m radius, after applying Ripley's (1977) edge correction.</li> <li>female.10m.edco: number of synchronously flowering <span>conspecific </span>female individuals in a 10m radius, after applying Ripley's (1977) edge correction.</li> <li>male.5m.edco: number of synchronously flowering <span>conspecific </span> male individuals in a 5m radius, after applying Ripley's (1977) edge correction.</li> <li>male.10m.edco: number of synchronously flowering <span>conspecific </span>male individuals in a 10m radius, after applying Ripley's (1977) edge correction.</li> <li>no.stems: specific for C. costaricana, number of stems per individual.</li> <li>height: height of the flowering stem in cm.</li> <li>leaves: number of leaves of the flowering stem</li> <li>leaflets: number of leaflets of the youngest leaf of the flowering stem</li> <li>leaf.rachis: length in cm of the youngest leaf of the flowering stem</li> <li>floral.rachis: length in cm of the inflorescence's rachis</li> <li>peduncle: length in cm of the inflorescence's peduncle</li> <li>no.spikes: number of spikes of the inflorescence</li> <li>no.flowers: number of flowers per inflorescence</li> <li>no.fruits: number of single-seeded fruits per inflorescence</li> </ol>
National Checklists 2017: Costa Rica Species List
Lists of taxa for each country and a few other administrative zones harvested from effechecka using simplified versions of geonames polygons. See <p></p>https://github.com/diatomsRcool/checklists for details<p></p>A list of species from Costa Rica collected using effechecka and geonames polygons
National Checklists 2019: Costa Rica Species List
Lists of taxa for each country and a few other administrative zones harvested from effechecka using simplified versions of geonames polygons. See <p></p>https://github.com/diatomsRcool/checklists for details.<p></p>A list of species from Costa Rica collected using effechecka and geonames polygons
Hydrological simulations for Costa Rica from 1985 to 2019 using HYPE CR 1.0
<p>This dataset corresponds to the hydrological simulations of <strong>605 catchments</strong> in <strong>Costa Rica</strong> using the<strong> HYPE CR</strong> 1.0 for the period from <strong>1985 to 2019</strong>.</p> <p>The conceptual <a href="https://www.smhi.se/en/research/research-departments/hydrology/hype-our-hydrological-model-1.7994">HYPE</a> (Hydrological Predictions for the Environment) model was used to assess the water resources of tropical Costa Rica at a national scale at daily scale using adjusted global topography, soil, land use, and remotely-sensed climate products to force, calibrate and independently evaluate the model.</p> <p> A bias corrected temperature data from <a href="https://psl.noaa.gov/data/gridded/data.ghcncams.html">NOAA</a> (National Oceanic and Atmospheric Administration) and <a href="https://www.chc.ucsb.edu/data/chirps">CHIRPS</a> (Climate Hazards Group InfraRed Precipitation with Station data) precipitation were used as model forcings. Daily streamflow from 13 gauges for the period 1990-2003 and monthly <a href="https://www.ntsg.umt.edu/project/modis/mod16.php">MODIS</a> (Moderate Resolution Imaging Spectroradiometer) potential evapotranspiration (PET) and actual evapotranspiration (AET) for the period 2000-2014 were used to calibrate and evaluate the model.</p> <p><strong>Here, we presented the results of our calibrated HYPE model for Costa Rica (HYPE CR) version 1.0.</strong></p> <p> </p> <p>The files contained in this repository are described below :</p> <ul> <li><strong>CHIRPS_bias_corrected.zip</strong>: contains the daily gridded CHIRPS bias corrected rainfall using a linear bias correction method using ground stations in NetCDF4 files.</li> <li><strong>Catchments_CostaRica.geojson</strong>: simulated catchments' boundaries in GIS format. The columns "subid" correspond to the identifier of the catchments.</li> <li><strong>Streams_CostaRica.geojson</strong>: streams network used to delineate the catchments.</li> <li><strong>AET_daily_mm.csv</strong>: time series of daily actual evapotranspiration in mm.</li> <li><strong>AET_month_mm.csv</strong>: time series of monthly actual evapotranspiration in mm (sum of daily).</li> <li><strong>AET_year_mm.csv</strong>: time series of annual actual evapotranspiration in mm (sum of monthly).</li> <li><strong>Baseflow_daily_mm.csv</strong>: time series of daily baseflow in mm, as the sum of discharge of three soil layers. Represents the contribution of the subcatchment area.</li> <li><strong>Baseflow_month_mm.csv</strong>: time series of monthly baseflow in mm (sum of daily). Represents the contribution of the subcatchment area.</li> <li><strong>Baseflow_year_mm.csv</strong>: time series of annual baseflow in mm (sum of monthly). Represents the contribution of the subcatchment area.</li> <li><strong>Infiltration_daily_mm.csv</strong>: time series of daily infiltration in the upper layer, in mm.</li> <li><strong>Infiltration_month_mm.csv</strong>: time series of monthly infiltration in the upper layer, in mm (sum od daily).</li> <li><strong>Infiltration_year_mm.csv</strong>: time series of annual infiltration in the upper layer, in mm (sum of monthly).</li> <li><strong>PET_daily_mm.csv</strong>: time series of daily potential evapotranspiration in mm.</li> <li><strong>PET_month_mm.csv</strong>: time series of monthly potential evapotranspiration in mm (sum of daily).</li> <li><strong>PET_year_mm.csv</strong>: time series of annual potential evapotranspiration in mm (sum of monthly).</li> <li><strong>Prec_daily_mm.csv</strong>: time series of daily bias corrected precipitation in mm.</li> <li><strong>Prec_month_mm.csv</strong>: time series of monthly bias corrected precipitation in mm (sum of daily).</li> <li><strong>Prec_year_mm.csv</strong>: time series of annual bias corrected precipitation in mm (sum of monthly).</li> <li><strong>Qsim_daily_m3-s.csv</strong>: time series of daily streamflow in m3-s. Represents the contribution of all upstream area.</li> <li><strong>Qsim_month_m3-s.csv</strong>: time series of monthly streamflow in m3-s (average of daily). Represents the contribution of all upstream area.</li> <li><strong>Qsim_year_m3-s.csv</strong>: time series of annual streamflow in m3-s (average of monthly). Represents the contribution of all upstream area.</li> <li><strong>Runoff_daily_mm.csv</strong>: time series of daily runoff in mm. Represents the contribution of the subcatchment area.</li> <li><strong>Runoff_month_mm.csv</strong>: time series of monthly runoff in mm (sum of daily). Represents the contribution of the subcatchment area.</li> <li><strong>Runoff_year_mm.csv</strong>: time series of annual runoff in mm (sum of monthly). Represents the contribution of the subcatchment area.</li> <li><strong>SM_daily_mm.csv</strong>: time series of daily soil moisture in mm. Represents the contributionof three soil layers.</li> <li><strong>SM_month_mm.csv</strong>: time series of monthly soil moisture in mm (average of daily). Represents the contributionof three soil layers.</li> <li><strong>SM_year_mm.csv</strong>: time series of annual soil moisture in mm (average of monthly). Represents the contributionof three soil layers.</li> <li><strong>Streamflow_daily_mm.csv</strong>: time series of daily streamflow in mm. Represents the contribution of the subcatchment area.</li> <li><strong>Streamflow_month_mm.csv</strong>: time series of monthly streamflow in mm (sum of daily). Represents the contribution of the subcatchment area.</li> <li><strong>Streamflow_year_mm.csv</strong>: time series of annual streamflow in mm (sum of monthly). Represents the contribution of the subcatchment area.</li> <li><strong>Tmean_daily_deg.csv</strong>: time series of daily mean air temperature in degrees.</li> <li><strong>Tmean_month_deg.csv</strong>: time series of monthly mean air temperature in degrees.</li> <li><strong>Tmean_year_deg.csv</strong>: time series of yearly mean air temperature in degrees.</li> </ul>
Northern Ghost Bat (Diclidurus albus Wied-Neuwied, 1820) ocurrence data from Costa Rica
<p>We provided a new occurrence report with ecological notes of the Northern Ghost Bat, <em>Diclidurus albus</em> Wied-Neuwied, 1820, from Costa Rica, based on two individuals found roosting in Peñas Blancas, San Ramón, Alajuela, Costa Rica. We provide a distribution map of previous visual sightings and the new record of this bat species from Costa Rica. Database of distributional records based on museum specimens and other published and unpublished records from the Global Biodiversity Information Facility (GBIF 2022).</p>
WEFE data collection for a pilot smallholder farm in Costa Rica
<p>In-situ and remote data collection of environmental and socioeconomic data for the planning of integrated water, energy, food, and environment systems for the case study of a smallholder farm in Costa Rica.</p>
Figures 18–26. Beltia, dorsal habitus. 18 in A review of the genus Beltia Jacoby (Chrysomelidae: Eumolpinae: Eumolpini), with descriptions of fourteen new species from Costa Rica, Panama, and northwestern South America
Figures 18–26. Beltia, dorsal habitus. 18) Beltia angustomarginata, male. 19) Beltia awapita, male. 20) Beltia chiriquensis, female. 21) Beltia confusa, male. 22) Beltia gorgona, female. 23) Beltia herreri, male. 24–26) Beltia ledesmae, females. 24) Monochrome specimen. 25) Bicolored specimen. 26) Same female as (25) photographed with diffuser.
Figures 27–35. Beltia, dorsal habitus. 27 in A review of the genus Beltia Jacoby (Chrysomelidae: Eumolpinae: Eumolpini), with descriptions of fourteen new species from Costa Rica, Panama, and northwestern South America
Figures 27–35. Beltia, dorsal habitus. 27) Beltia napoensis, male. 28) Beltia napoensis, female. 29) Same female as (28) photographed with diffuser. 30) Beltia nicaraguensis, female. 31) Beltia osa, male. 32) Beltia placidula, female. 33) Beltia rugosa, male. 34) Beltia sanchezae, female. 35) Beltia talaga, male.
Figures 1–8 in A review of the genus Beltia Jacoby (Chrysomelidae: Eumolpinae: Eumolpini), with descriptions of fourteen new species from Costa Rica, Panama, and northwestern South America
Figures 1–8. Structures of Beltia and Colaspoides. 1) Beltia ledesmae, living male. Photo: Bernardo Navarrete. 2) Prothorax, lateral view showing lateral wings of prosternum (arrow), B. napoensis. 3) Pygidium, B. chiriquensis. 4) Lateral view of prothorax showing lateral wings of prosternum (arrow), C. bicolor (Olivier). 5) Posterior view of metatibia, B. tilarana. 6) Posterior view of metatibia, C. bicolor. 7) Furcasternum, B. vacilona. 8) Hind wing, B. vacilona.
Figures 80–82 in A review of the genus Beltia Jacoby (Chrysomelidae: Eumolpinae: Eumolpini), with descriptions of fourteen new species from Costa Rica, Panama, and northwestern South America
Figures 80–82. Distribution maps for Beltia spp.: Nicaragua, Costa Rica, and Panama. 80) Beltia angustomarginata (squares), B. osa (triangles), B. vacilona (circles). 81) Beltia chiriquensis (circles), B. herreri (stars), B. nicaraguensis (hexagons). 82) Beltia sanchezae (square), B. tilarana (inverted triangles), B. tisingalita (stars).
Figure 8 in Systematics, host plants, and life histories of three new Phyllocnistis species from the central highlands of Costa Rica (Lepidoptera, Gracillariidae, Phyllocnistinae)
Figure 8. Phyllocnistis maxberryi sp. n., pupa. A Ventral view of head B ventral view of cocoon-cutter C frons D lateral view of head E lateral view of cocoon-cutter F dorsal of sixth abdominal tergum G spines on sixth abdominal tergum H lateral view of spines on seventh abdominal tergum I view of abdominal tip Į dorsal view of A9–10 K lateral seta on sixth abdominal tergum L ventral view of A9–10. Scale bars 100 µm.
Figure 6 in Systematics, host plants, and life histories of three new Phyllocnistis species from the central highlands of Costa Rica (Lepidoptera, Gracillariidae, Phyllocnistinae)
Figure 6. Phyllocnistis tropaeolicola sp. n., genitalia. A Male, ventral view B right valva, mesal view C aedeagus D female, lateral view E ventral view of terminal segments. (Scale bar 0.5 mm except for figure B, 0.25 mm.)
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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.
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.