cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15468/dl.5rm6tq
title: Occurrence Download

description: A dataset containing 1568 species occurrences available in GBIF matching the query:
{
 "and" : [
 "ScientificName is Ipomoea asarifolia (Desr.) Roem. & Schult.",
 "HasCoordinate is true"
 ]
}

 The dataset includes 1568 records from 138 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0008323-220831081235567/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.7vvr3q
title: Occurrence Download

description: A dataset containing 3754 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Paspalum virgatum L."
 ]
}

 The dataset includes 3754 records from 214 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0062259-230530130749713/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.cqhvxd
title: Occurrence Download

description: A dataset containing 957609 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Urtica L."
 ]
}

 The dataset includes 957609 records from 1426 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002453-190621201848488/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.17730541
title: Table 13 - 1 in Electricity Network Reinforcement and Expansion Project (ENREP) Update the Environmental and Social Impact Assessment (ESIA) for LOT-I: Metu-Mesha 230 KV Single Circuit Transmission Line

description: Table 13-1. Proposed monitoring methods for the Contractor
Management issuesPerformance indicatorsMeans of verificationMonitoring frequencyAir pollution and dust• The frequency of• VisualWeekly inspectionscontrolwater sprayed oninspectionsaccess road and• Photographicinternal roadsdocumentation• Evidences that truckscover loose materialsOccupational health• Evidence of OHS plan• VisualDaily inspectionsand safetyand emergencyinspectionsresponse plan• Written statistics• Percentage ofof workers usingworkers using PPEPPE• Access to first aid• Photographicstationdocumentation• Availability of first aidexpert• Incidence statistics(injuries, treatmentsand etc.)Labor management• Proportion of women• VisualWeekly inspections• Evidences of writteninspectionscontracts• Employment• Number ofcontractsgrievances of workers• The number of locallyemployed workers• Issue on under agedworkersBiodiversity• Number of trees• VisualMonthly inspectionmanagementplantedinspections• Number of ant nests• Photographictransplanted to treesdocumentationof the same species asthe ones felledCommunity health• Number of• VisualWeekly inspectionsand safetycommunityinspectionsgrievances• Photographic• Incidences ofdocumentationdamages to publicpropertiesWaste management• Amount and types of• VisualWeekly inspectionswastes generatedinspections• Evidences for timely• Photographicdisposal of wastes,documentatione.g., excavated soilmaterials• Domestic solid andliquid wastes• Used oils
description: Published as part of GmbH, Gopa-International Energy Consultants & Iris Consult Plc, Ethiopia, 2022, Electricity Network Reinforcement and Expansion Project (ENREP) Update the Environmental and Social Impact Assessment (ESIA) for LOT-I: Metu-Mesha 230 KV Single Circuit Transmission Line in null, World Bank (WB) on page 188, DOI: 10.5281/zenodo.17261405
DOI: 10.5281/zenodo.17730542
title: Table 13 - 1 in Electricity Network Reinforcement and Expansion Project (ENREP) Update the Environmental and Social Impact Assessment (ESIA) for LOT-I: Metu-Mesha 230 KV Single Circuit Transmission Line

description: Table 13-1. Proposed monitoring methods for the Contractor
Management issuesPerformance indicatorsMeans of verificationMonitoring frequencyAir pollution and dust• The frequency of• VisualWeekly inspectionscontrolwater sprayed oninspectionsaccess road and• Photographicinternal roadsdocumentation• Evidences that truckscover loose materialsOccupational health• Evidence of OHS plan• VisualDaily inspectionsand safetyand emergencyinspectionsresponse plan• Written statistics• Percentage ofof workers usingworkers using PPEPPE• Access to first aid• Photographicstationdocumentation• Availability of first aidexpert• Incidence statistics(injuries, treatmentsand etc.)Labor management• Proportion of women• VisualWeekly inspections• Evidences of writteninspectionscontracts• Employment• Number ofcontractsgrievances of workers• The number of locallyemployed workers• Issue on under agedworkersBiodiversity• Number of trees• VisualMonthly inspectionmanagementplantedinspections• Number of ant nests• Photographictransplanted to treesdocumentationof the same species asthe ones felledCommunity health• Number of• VisualWeekly inspectionsand safetycommunityinspectionsgrievances• Photographic• Incidences ofdocumentationdamages to publicpropertiesWaste management• Amount and types of• VisualWeekly inspectionswastes generatedinspections• Evidences for timely• Photographicdisposal of wastes,documentatione.g., excavated soilmaterials• Domestic solid andliquid wastes• Used oils
description: Published as part of GmbH, Gopa-International Energy Consultants & Iris Consult Plc, Ethiopia, 2022, Electricity Network Reinforcement and Expansion Project (ENREP) Update the Environmental and Social Impact Assessment (ESIA) for LOT-I: Metu-Mesha 230 KV Single Circuit Transmission Line in null, World Bank (WB) on page 188, DOI: 10.5281/zenodo.17261405
DOI: 10.6084/m9.figshare.30729071
title: 实验数据-NPX

description: 紫外硝酸盐降解萘普生实验数据
DOI: 10.6084/m9.figshare.30729071.v1
title: 实验数据-NPX

description: 紫外硝酸盐降解萘普生实验数据
DOI: 10.5281/zenodo.17726073
title: AgriField-Manipur Smart Farming Dataset (Synthetic v2025.1)

description: The AgriField-Manipur Dataset (v2025.1) is a realistic hybrid dataset created to support smart farming, AI research, and IoT-based agricultural development for the valley farming ecosystem of Manipur, India.It contains daily time-series measurements of temperature, humidity, soil moisture, soil pH, rainfall, and crop suitability parameters across multiple valley districts.

Although the dataset is synthetically generated at field level due to limited direct sensor availability and operational constraints, all parameter ranges, seasonal behavior, and soil characteristics are based on verified agricultural references, including:





Regional climatology (IMD, NASA POWER)




Soil reports and advisories (ICAR-NEH, Manipur Agriculture Department)




Crop agronomy and best practices (FAO and ICAR standards)



This design ensures that the dataset reflects realistic environmental behavior, seasonal variation, and district-level differences found in valley agriculture of Manipur.

The dataset also includes generator code, allowing reproducibility, custom simulation, and further scaling based on research needs.

It is suitable for:





Smart farming and IoT platform prototyping




Machine learning systems for crop suitability, irrigation, soil analysis, and pest/disease risk




Benchmarking, simulation, and academic instruction in precision agriculture



Note: While parameter ranges are grounded in real-world references, the dataset is simulated at field level and should not be used for operational farm decisions without expert validation.
DOI: 10.5281/zenodo.17730425
title: AgriField-Manipur Smart Farming Dataset (Synthetic v2025.1)

description: The AgriField-Manipur Dataset (v2025.1) is a realistic hybrid dataset created to support smart farming, AI research, and IoT-based agricultural development for the valley farming ecosystem of Manipur, India.It contains daily time-series measurements of temperature, humidity, soil moisture, soil pH, rainfall, and crop suitability parameters across multiple valley districts.

Although the dataset is synthetically generated at field level due to limited direct sensor availability and operational constraints, all parameter ranges, seasonal behavior, and soil characteristics are based on verified agricultural references, including:



Regional climatology (IMD, NASA POWER)

Soil reports and advisories (ICAR-NEH, Manipur Agriculture Department)

Crop agronomy and best practices (FAO and ICAR standards)


This design ensures that the dataset reflects realistic environmental behavior, seasonal variation, and district-level differences found in valley agriculture of Manipur.

The dataset also includes generator code, allowing reproducibility, custom simulation, and further scaling based on research needs.

It is suitable for:



Smart farming and IoT platform prototyping

Machine learning systems for crop suitability, irrigation, soil analysis, and pest/disease risk

Benchmarking, simulation, and academic instruction in precision agriculture
description: While parameter ranges are grounded in real-world references, the dataset is simulated at field level and should not be used for operational farm decisions without expert validation.
DOI: 10.5281/zenodo.16749485
title: Shoreline and Nearshore Wave Data for New South Wales, Australia

description: This dataset contains the shoreline and nearshore wave data for the entire New South Wales coast. The dataset comprises over 8,000 cross-shore transects spaced at 100-meter intervals along the NSW coast. For each transect, satellite-derived shoreline positions are provided at approximately bi-weekly intervals from 1984 to 2024, along with associated beach-face slopes. Hourly nearshore wave parameters—including significant wave height (Hs), peak period (Tp), mean wave period (Tm02), as well as peak and mean wave directions (Dp and Dm), are provided at the 10 m depth contour for each transect from 1979 to 2024. 

 

The shoreline data is in CoastSat_shorelines.zip. The data is structured as follows:



There is a sub folder for each site (e.g. aus0045)

In the site folder, there are 4 CSV files:



time_series_tidally_corrected.csv: this file contains the tidally-corrected time-series of shoreline change along each transect belonging to the site (e.g. aus0045-0001, aus0045-0002 etc). This is the final product used for coastal change analyses.

time_series_raw.csv: this file contains the raw time-series of shoreline change, which have not be tidally-corrected. Note that each image is taken at a different stage of the tide.

tide_levels_fes2022: this file contains the tide levels at the time of image acquisition extracted from FES2022 (global tide model publicly available on AVISO+).

transect_beach_slopes.csv: this file contains the estimated beach slope for each transect.




The wave data is stored in 10 NetCDF files with size ranging from 5 to 10 GB.



File names (e.g., aus0045_aus0066.nc) indicate the range of beach site IDs included.

All NetCDF files follow a consistent structure with two dimensions:



time (in UTC)

tran_id (Transect ID, matching transects_NSW.geojson).



Variables include: 



significant wave height (Hs)

peak period (Tp)

mean wave periods (Tm01, Tm02)

mean wave directions (Dm)

peak wave directions (Dp)



Transect properties include:



Longitude and Latitude: longitude and latitude of the intersection point between the extended transect and the 10 m depth contour (where waves are extracted)

Distance: distance from the seaward end of the transect to the intersection

Angle: angle between the transect and the 10m contour at the intersection




Three supplementary geospatial layers are provided in GeoJSON format:



ROI_NSW.geojson: the region of interest

shorelines_NSW.geojson: a reference shoreline for each beach

transects_NSW.geojson: the location of transects 

intersections_10m_QA.geojson: intersections of extended transects at 10 m contour with quality assurance.


The validation of shoreline and wave data against groud truth are saved in the Comparison_results.zip
DOI: 10.5281/zenodo.17693915
title: Shoreline and Nearshore Wave Data for New South Wales, Australia

description: This dataset contains the shoreline and nearshore wave data for the entire New South Wales coast. The dataset comprises over 8,000 cross-shore transects spaced at 100-meter intervals along the NSW coast. For each transect, satellite-derived shoreline positions are provided at approximately bi-weekly intervals from 1984 to 2024, along with associated beach-face slopes. Hourly nearshore wave parameters—including significant wave height (Hs), peak period (Tp), mean wave period (Tm02), as well as peak and mean wave directions (Dp and Dm), are provided at the 10 m depth contour for each transect from 1979 to 2024. 

 

The shoreline data is in CoastSat_shorelines.zip. The data is structured as follows:



There is a sub folder for each site (e.g. aus0045)

In the site folder, there are 4 CSV files:



time_series_tidally_corrected.csv: this file contains the tidally-corrected time-series of shoreline change along each transect belonging to the site (e.g. aus0045-0001, aus0045-0002 etc). This is the final product used for coastal change analyses.

time_series_raw.csv: this file contains the raw time-series of shoreline change, which have not be tidally-corrected. Note that each image is taken at a different stage of the tide.

tide_levels_fes2022: this file contains the tide levels at the time of image acquisition extracted from FES2022 (global tide model publicly available on AVISO+).

transect_beach_slopes.csv: this file contains the estimated beach slope for each transect.




The wave data is stored in 10 NetCDF files with size ranging from 5 to 10 GB.



File names (e.g., aus0045_aus0066.nc) indicate the range of beach site IDs included.

All NetCDF files follow a consistent structure with two dimensions:



time (in UTC)

tran_id (Transect ID, matching transects_NSW.geojson).



Variables include: 



significant wave height (Hs)

peak period (Tp)

mean wave periods (Tm01, Tm02)

mean wave directions (Dm)

peak wave directions (Dp)



Transect properties include:



Longitude and Latitude: longitude and latitude of the intersection point between the extended transect and the 10 m depth contour (where waves are extracted)

Distance: distance from the seaward end of the transect to the intersection

Angle: angle between the transect and the 10m contour at the intersection




Three supplementary geospatial layers are provided in GeoJSON format:



ROI_NSW.geojson: the region of interest

shorelines_NSW.geojson: a reference shoreline for each beach

transects_NSW.geojson: the location of transects 

intersections_10m_QA.geojson: intersections of extended transects at 10 m contour with quality assurance.


The validation of shoreline and wave data against groud truth are saved in the Comparison_results.zip
DOI: 10.15468/dl.w47vgx
title: Occurrence Download

description: A dataset containing 26047 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Human Observation",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Issue is one of (Coordinate reprojected, Geodetic datum assumed WGS84, Geodetic datum invalid, Coordinate rounded, Footprint WKT mismatch, Footprint WKT invalid, Country mismatch, Country derived from coordinates, Continent derived from coordinates, Recorded date mismatch, Recorded date invalid, Taxon match fuzzy, Taxon match higher rank, The scientific name ID was not found in the checklist, The taxon concept ID was not found in the checklist, The taxon ID was not found in the checklist, Depth unlikely, Elevation min max swapped, Elevation non numeric, Modified date invalid, Identified date invalid, Type status invalid, Multimedia date invalid, Multimedia URI invalid, Occurrence status unparsable, Occurrence status inferred from individual count)",
 "OccurrenceStatus is Present",
 "TaxonKey is Piper",
 "Year 1950-2025"
 ]
}

 The dataset includes 26047 records from 358 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0011101-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.17730545
title: Tabla 5.1 in ESTUDIO DE IMPACTO AMBIENTAL (EIA) DEL PARQUE SOLAR FOTOVOLTAICO GUAYEPO III 200 MW Y SU LÍNEA DE EVACUACIÓN 500 KV

description: Tabla 5.1 Ecosistemas identificados en el área de influencia del medio biótico. Fuente: Ingeobosque, 2019
EcosistemaÁrea (ha)Área (%)Bosque de galería o ripario del Zonobioma Alternohígrico Tropical Cartagena y delta del Magdalena86,74011,8%Cuerpos de agua artificiales del Zonobioma Alternohígrico Tropical Cartagena y delta del Magdalena2,1420,3%Pastos arbolados del Zonobioma Alternohígrico Tropical Cartagena y delta del Magdalena209,66228,4%Pastos limpios del Zonobioma Alternohígrico Tropical Cartagena y delta del Magdalena325,03444,10%Tejido urbano discontinuo del Zonobioma Alternohígrico Tropical Cartagena y delta del Magdalena1,1190,1%Vegetación secundaria alta del Zonobioma Alternohígrico Tropical Cartagena y delta del Magdalena93,24312,6%Vegetación secundaria baja del Zonobioma Alternohigrico Tropical Cartagena y delta del Magdalena18,6242,5%Total737,431100
description: Published as part of Beltrán, Gilmer, Niño, Diana & López, Carol, 2021, ESTUDIO DE IMPACTO AMBIENTAL (EIA) DEL PARQUE SOLAR FOTOVOLTAICO GUAYEPO III 200 MW Y SU LÍNEA DE EVACUACIÓN 500 KV in null, CARRERA 12 N. 79 - 50 BOGOTÁ D. C. :European Investment Bank (EIB) on page 1, DOI: 10.5281/zenodo.17261965
DOI: 10.5281/zenodo.17730546
title: Tabla 5.1 in ESTUDIO DE IMPACTO AMBIENTAL (EIA) DEL PARQUE SOLAR FOTOVOLTAICO GUAYEPO III 200 MW Y SU LÍNEA DE EVACUACIÓN 500 KV

description: Tabla 5.1 Ecosistemas identificados en el área de influencia del medio biótico. Fuente: Ingeobosque, 2019
EcosistemaÁrea (ha)Área (%)Bosque de galería o ripario del Zonobioma Alternohígrico Tropical Cartagena y delta del Magdalena86,74011,8%Cuerpos de agua artificiales del Zonobioma Alternohígrico Tropical Cartagena y delta del Magdalena2,1420,3%Pastos arbolados del Zonobioma Alternohígrico Tropical Cartagena y delta del Magdalena209,66228,4%Pastos limpios del Zonobioma Alternohígrico Tropical Cartagena y delta del Magdalena325,03444,10%Tejido urbano discontinuo del Zonobioma Alternohígrico Tropical Cartagena y delta del Magdalena1,1190,1%Vegetación secundaria alta del Zonobioma Alternohígrico Tropical Cartagena y delta del Magdalena93,24312,6%Vegetación secundaria baja del Zonobioma Alternohigrico Tropical Cartagena y delta del Magdalena18,6242,5%Total737,431100
description: Published as part of Beltrán, Gilmer, Niño, Diana & López, Carol, 2021, ESTUDIO DE IMPACTO AMBIENTAL (EIA) DEL PARQUE SOLAR FOTOVOLTAICO GUAYEPO III 200 MW Y SU LÍNEA DE EVACUACIÓN 500 KV in null, CARRERA 12 N. 79 - 50 BOGOTÁ D. C. :European Investment Bank (EIB) on page 1, DOI: 10.5281/zenodo.17261965
DOI: 10.5281/zenodo.17730547
title: Tabla 5.2 in ESTUDIO DE IMPACTO AMBIENTAL (EIA) DEL PARQUE SOLAR FOTOVOLTAICO GUAYEPO III 200 MW Y SU LÍNEA DE EVACUACIÓN 500 KV

description: Tabla 5.2 Coberturas terrestres identificadas en el área de influencia del medio biótico. Fuente: Ingeobosque, 2019
NivelCobertura terrestreÁrea (ha)%112Tejido urbano discontinuo1,1190,2%122Red vial, ferroviaria y terrenos asociados0,8670,1%231Pastos limpios325,03444,1%232Pastos arbolados209,66228,4%314Bosque de galería o ripario86,74011,8%514Cuerpos de agua artificiales93,24312,6%3231Vegetación secundaria alta18,6242,5%3232Vegetación secundaria baja2,1420,3%Total general738,82737,431
description: Published as part of Beltrán, Gilmer, Niño, Diana & López, Carol, 2021, ESTUDIO DE IMPACTO AMBIENTAL (EIA) DEL PARQUE SOLAR FOTOVOLTAICO GUAYEPO III 200 MW Y SU LÍNEA DE EVACUACIÓN 500 KV in null, CARRERA 12 N. 79 - 50 BOGOTÁ D. C. :European Investment Bank (EIB) on page 3, DOI: 10.5281/zenodo.17261965
DOI: 10.5281/zenodo.17730548
title: Tabla 5.2 in ESTUDIO DE IMPACTO AMBIENTAL (EIA) DEL PARQUE SOLAR FOTOVOLTAICO GUAYEPO III 200 MW Y SU LÍNEA DE EVACUACIÓN 500 KV

description: Tabla 5.2 Coberturas terrestres identificadas en el área de influencia del medio biótico. Fuente: Ingeobosque, 2019
NivelCobertura terrestreÁrea (ha)%112Tejido urbano discontinuo1,1190,2%122Red vial, ferroviaria y terrenos asociados0,8670,1%231Pastos limpios325,03444,1%232Pastos arbolados209,66228,4%314Bosque de galería o ripario86,74011,8%514Cuerpos de agua artificiales93,24312,6%3231Vegetación secundaria alta18,6242,5%3232Vegetación secundaria baja2,1420,3%Total general738,82737,431
description: Published as part of Beltrán, Gilmer, Niño, Diana & López, Carol, 2021, ESTUDIO DE IMPACTO AMBIENTAL (EIA) DEL PARQUE SOLAR FOTOVOLTAICO GUAYEPO III 200 MW Y SU LÍNEA DE EVACUACIÓN 500 KV in null, CARRERA 12 N. 79 - 50 BOGOTÁ D. C. :European Investment Bank (EIB) on page 3, DOI: 10.5281/zenodo.17261965
DOI: 10.5281/zenodo.17730554
title: Tabla 5.4 in ESTUDIO DE IMPACTO AMBIENTAL (EIA) DEL PARQUE SOLAR FOTOVOLTAICO GUAYEPO III 200 MW Y SU LÍNEA DE EVACUACIÓN 500 KV

description: Tabla 5.4 Estadísticos del muestreo estratificado para las coberturas vegetales presentes en el área de influencia del medio biótico. Fuente: Ingeobosque, 2019
EstratoÁrea (ha)Ɲ ṫX̅ ṫs xṫ s ṫƿ ṫn ṫPastos limpios325,0316251,717,5613,50 2,250,4436Pastos arbolados209,6610483,1239,3927,83 5,250,2928Bosque de galería o ripario86,744337,02133,9388,09 19,650,1220Vegetación secundaria alta93,244662,14270,23 143,88 28,700,1325Vegetación secundaria baja18,62931,2146,2324,42 7,350,0311Tamaño de muestra (𝑛)120Media estratificada (𝑋̅ eStrotiľicoao)65,99Error estándar de la media estratificada (𝑆 𝑋 eStrotiľicoao)4,69Error de muestreo estratificado (𝐸 %)14,07 %
description: Published as part of Beltrán, Gilmer, Niño, Diana & López, Carol, 2021, ESTUDIO DE IMPACTO AMBIENTAL (EIA) DEL PARQUE SOLAR FOTOVOLTAICO GUAYEPO III 200 MW Y SU LÍNEA DE EVACUACIÓN 500 KV in null, CARRERA 12 N. 79 - 50 BOGOTÁ D. C. :European Investment Bank (EIB) on page 18, DOI: 10.5281/zenodo.17261965
DOI: 10.5281/zenodo.17730553
title: Tabla 5.4 in ESTUDIO DE IMPACTO AMBIENTAL (EIA) DEL PARQUE SOLAR FOTOVOLTAICO GUAYEPO III 200 MW Y SU LÍNEA DE EVACUACIÓN 500 KV

description: Tabla 5.4 Estadísticos del muestreo estratificado para las coberturas vegetales presentes en el área de influencia del medio biótico. Fuente: Ingeobosque, 2019
EstratoÁrea (ha)Ɲ ṫX̅ ṫs xṫ s ṫƿ ṫn ṫPastos limpios325,0316251,717,5613,50 2,250,4436Pastos arbolados209,6610483,1239,3927,83 5,250,2928Bosque de galería o ripario86,744337,02133,9388,09 19,650,1220Vegetación secundaria alta93,244662,14270,23 143,88 28,700,1325Vegetación secundaria baja18,62931,2146,2324,42 7,350,0311Tamaño de muestra (𝑛)120Media estratificada (𝑋̅ eStrotiľicoao)65,99Error estándar de la media estratificada (𝑆 𝑋 eStrotiľicoao)4,69Error de muestreo estratificado (𝐸 %)14,07 %
description: Published as part of Beltrán, Gilmer, Niño, Diana & López, Carol, 2021, ESTUDIO DE IMPACTO AMBIENTAL (EIA) DEL PARQUE SOLAR FOTOVOLTAICO GUAYEPO III 200 MW Y SU LÍNEA DE EVACUACIÓN 500 KV in null, CARRERA 12 N. 79 - 50 BOGOTÁ D. C. :European Investment Bank (EIB) on page 18, DOI: 10.5281/zenodo.17261965
DOI: 10.5281/zenodo.17730557
title: Tabla 5.6 Volumen total y comercial, biomasa y in ESTUDIO DE IMPACTO AMBIENTAL (EIA) DEL PARQUE SOLAR FOTOVOLTAICO GUAYEPO III 200 MW Y SU LÍNEA DE EVACUACIÓN 500 KV

description: Tabla 5.6 Volumen total y comercial, biomasa y carbono promedio almacenado en cada cobertura vegetal. Fuente: Ingeobosque, 2019
No. parcelasBRVSAVSBPAPL2025112836Volumen comercial (m3)/parcela0,720,750,050,140,01/ha36,1237,552,587,080,73Volumen total (m3)/parcela2,685,400,920,800,15/ha133,93270,2346,2339,777,56Biomasa (t)/parcela1,522,750,610,460,09/ha76,22137,5730,2823,154,51Carbono (t)/parcela0,761,380,300,230,05/ha38,1168,7815,1411,582,26
BR: Bosque de galería y ripario; VSA: Vegetación secundaria alta; VSB: Vegetación secundaria baja; PA: Pastos arbolados; PL: Pastos limpios.
description: Published as part of Beltrán, Gilmer, Niño, Diana & López, Carol, 2021, ESTUDIO DE IMPACTO AMBIENTAL (EIA) DEL PARQUE SOLAR FOTOVOLTAICO GUAYEPO III 200 MW Y SU LÍNEA DE EVACUACIÓN 500 KV in null, CARRERA 12 N. 79 - 50 BOGOTÁ D. C. :European Investment Bank (EIB) on page 25, DOI: 10.5281/zenodo.17261965