Dataset ID:	889
Last updated:	2012-09-20
Dataset creators:	Johana Munoz Daniel Kübler Reinhard Mosandl Michael Weber Omar Cabrera Sven Günter Bernd Stimm
Contact:	Daniel Kübler
Temporal coverage:	2003-06-01 00:00:00 - 2008-06-01 00:00:00 - time zone: -5
Geographic coverage:	Natural forest experiment plots (Q2, Q3, Q5)
Abstract:	--- Abstract:
Additional info:	see also complementary dataset: Kübler, D.; Cabre... Additional info: see also complementary dataset: Kübler, D.; Cabrera, O.; Munoz, J.; Hildebrandt, P.; Weber, M.; Stimm, B.; Mosandl, R. & Günter, S. (2012): Inventory of trees in the natural forest management experiment. Available online (http://www.tropicalmountainforest.org/data_pre.do?citid=1159) from DFG-FOR816dw.
Keywords:	\| growth \| tree \| tree growth \| dbh \| forest \| Q2 \| Q3 \| Q5 \| ECSF \|
Intellectual rights:	FOR816 data user agreement

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Entity name:	Forest Inventory of trees DBH > 20cm (forked trees not aggregated)
Entity type:	dataTable
Attributes:	ID of the tree (TreeID) (Unitless) ID of tree fork (tree_fork_id) (Unitless) Diameter at breast height (DBH) [Meter] Species name (Species) (Unitless) Family name (Family) (Unitless) Number of quebrada (quebrada_id) (Unitless) Treatment of the plot (PlotTreat) (Unitless) Tree commercial height (tree_ch) [Meter] ID of the plot (PlotID) (Unitless) Gradient of illumination (illumination_gradient) (Unitless) Form of tree crown (tree_crown_form) (Unitless) Stem form of a tree (tree_stem_form) (Unitless) Dominance of tree (tree_dominance) (Unitless) Phytosanitary state of tree (tree_phytosanitary_state) (Unitless) Date and Time (datetime) (Unitless)

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GPS points of the ECSF_PINOS PLOT and Pinus climate station (PP_CH_Pinus_2000), raw and corrected points

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Dataset ID:	1889
Last updated:	2020-12-18
Dataset creators:	Jorge Gribaldo Castillo Armijos
Contact:	Jorge Gribaldo Castillo Armijos Maik Dobbermann
Temporal coverage:	2020-12-03 00:00:00 - 2020-12-03 00:00:00 - time zone: America/Lima
Geographic coverage:	ECSF Pinus plot measured by GPS
Abstract:	GPS points of the ECSF_PINOS PLOT, original files ... Abstract: GPS points of the ECSF_PINOS PLOT, original files and corrected with the NCI GPS data.
Additional info:	--- Additional info:
Keywords:	\| ECSF \| climate station \| gps data \| pinus \|
Intellectual rights:	TMF Respect

Entity name:	data_gps_shapefile
Entity type:	otherEntity
Attributes:	GPS coordinates (gps_coordinates) [Unitless]

Entity name:	gps_data_pinus_original
Entity type:	otherEntity
Attributes:	GPS coordinates (gps_coordinates) [Unitless]

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Matrix_NetN_mineralisation_ECSF

Dataset ID:	824
Last updated:	2010-06-02
Dataset creators:	Katrin Wolf
Contact:	Katrin Wolf
Temporal coverage:	2008-01-01 17:19:00 - 2008-01-31 17:19:00 - time zone: -5
Geographic coverage:	Matrix plots San Francisco
Abstract:	--- Abstract:
Additional info:	--- Additional info:
Keywords:	\| forest \| nutrients \| ECSF \| MATRIX \| N-cycle \|
Intellectual rights:	FOR816 data user agreement

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Entity name:	Matrix_NetN_mineralisation_ECSF
Entity type:	dataTable
Attributes:	ID of the plot (PlotID) (Unitless) Soil net N mineralisation (NetN_min) [Milligram of nitrogen per kilogram of soil and day]

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ECSF Climate station best estimate Ver. 2

Dataset ID:	1415
Last updated:	2015-11-26
Dataset creators:	Ruetger Rollenbeck Thorsten Peters Paul Emck Michael Richter
Contact:	Thorsten Peters Ruetger Rollenbeck
Temporal coverage:	1998-03-19 17:00:00 - 2015-10-01 01:00:00 - time zone: -5
Geographic coverage:	ECSF climate station
Abstract:	Quality assessment ECSF climate station hourly dat... Abstract: Quality assessment ECSF climate station hourly data: Version 2; Dataset supersedes ver. 1 which is left for reference. Please be aware, that aggregated values may be wrong, due to the data gaps. This is especcially critical for precipitation. Variables: Ta2m =Air Temperature at 2 m (T) PCP = Precipitation at 1 m (P) Huma_2m = relative humidity at 2m (rH) Irradiation = global radiation at 2 m (gRad), widspeed. Emitted radiation, wind direction and soil-temperatures are not yet published For each variable, a measure of uncertainty is given in the original dimension. This value can be considered as the potential deviation from real conditions. Where no parallel measurements exist, the uncertainty is given as the standard deviation of that difference. By Rütger Rollenbeck, 25.11.2015, rollenbeck@lcrs.de
Additional info:	Details of data processing are given in the attach... Additional info: Details of data processing are given in the attached Qualityassessment-Document
Keywords:	\| climate \| air temperature \| relative humidity \| global radiation \| wind speed \| precipitation \| times series \| ECSF \|
Intellectual rights:	PAK 823-825 data user agreement. (www.tropicalmountainforest.org/dataagreementp3.do)

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Entity name:	ECSF climate data Best estimate ver. 2
Entity info:	This dataset supersedes the best estimate ver.1 and is updated until the end of September 2015
Entity type:	dataTable
Attributes:	Date and Time (datetime) (Unitless) air temperature in 2m (Ta_2m) [Degrees Celsius] potential uncertainty of Ta_2m (Ta_2m_uncertainty) [Degrees Celsius] precipitation (PCP) [Millimeter] potential uncertainty of PCP (PCP_Uncertainty) [Millimeter per hour] Air humidity 2m (Huma_2m) [Percent] potential uncertainty of relative air humidity (Huma_2m_Uncertainty) [Percent] Irradiation (Irradiation) [Watt per square meter] potential uncertainty of global radiation (Irradiation_Uncertainty) [Watt per square meter] Wind speed (Windspeed) [Meter per second]

Entity name:	qualityassessmen_ver2t
Entity info:	please read this file, before employing data analysis. Please contact data creators before publishing data
Entity type:	otherEntity

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ecsf pasture orthomosaic RGB October 2022

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Dataset ID:	1975
Last updated:	2023-03-10
Dataset creators:	Sebastian Scholz Katja Trachte
Contact:	Sebastian Scholz
Temporal coverage:	2022-10-04 12:00:00 - 2022-10-04 13:00:00 - time zone: America/Guayaquil
Geographic coverage:	ECSF pasture
Abstract:	Orthomosaic containing Georeferenced Band Values f... Abstract: Orthomosaic containing Georeferenced Band Values from ecsf pasture aquired with a low flying UAV.
Additional info:	--- Additional info:
Keywords:	\| pasture \| ECSF \| orthophotos \| orthomosaic \|
Intellectual rights:	Copyright 2022 Chair of Atmospheric Processes Brandenburg University of Technology (BTU) Cottbus-Senftenberg. Free for use by all individuals provided that the owners are acknowledged in any use or publication

Entity name:	dronemapping_mrf_tower_rgb_20221005_1
Entity type:	otherEntity
Attributes:	RGB value of imagery (rgbvalue) (Unitless) Normalized Digital Vegetation Index (NDVI) [Unitless]

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Climate Station Data ECSF established 2010

Dataset ID:	1202
Last updated:	2012-09-25
Dataset creators:	Thorsten Peters Michael Richter
Contact:	Thorsten Peters
Temporal coverage:	2010-06-21 19:00:00 - 2012-08-14 15:00:00 - time zone: -5
Geographic coverage:	ECSF climate station
Abstract:	Due to technical problems the former weather stati... Abstract: Due to technical problems the former weather station ECSF (established 1998) was shut down in 2010. At the same time a new weather station called "Climate Station ECSF established 2010" was installed 3m beside the former ECSF weather station on the same measuring plot.
Additional info:	The data are quality checked by a standardised met... Additional info: The data are quality checked by a standardised method. Climate Parameter Quality Check for site ECSF Checking modules: 1. Does a value exist? Quality flag is set to "d = missing" 2. Checking of site specific threshold value. If the value is not inbetween the thresholds the quality flag is set to "c = out of range": Windspeed max = 25 Global Radiation max = 1400 Air temperature in 2m max = 30 Air temperature in 2m min = 5 Air humidity max = 99.9 Air humidity min = 10 3. Checking the plausibility of air temperature and air humidity within the measurement intervals by comparing the previous and current values. If the temperature amplitude is higher then 10°C and humidity amplitude is higher than 30% the plausibility of this variation is checked by comparing to the variation of the other parameter. The quality flag is set to "e = variation implausible". 4. Precipitation check If precipitation is more than 25 mm then quality flag is set to "c = out of range" If precipitation is more than 15 mm and air temperature increases more than 0.2 °C inbetween a temporal interval then quality flag is set to "e = variation impossible". 5. Relative air humidity values are corrected by a standarized method and quality flag is set to "m = manually corrected". 6. Wind direction is not quality checked and flag is set to "nqc = not quality checked" All other values are set to "a = valid".
Keywords:	\| climate \| air temperature \| relative humidity \| global radiation \| wind speed \| precipitation \| temperature \| wind direction \| long term monitoring \| TMean \| ECSF \| data logger \| automatic weather station \|
Intellectual rights:	FOR816 data user agreement

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Entity name:	ECSF established 2010
Entity type:	dataTable
Attributes:	Wind speed (Windspeed) [Meter per second] Wind direction 3m (Wind_direction) [Degree] air temperature in 2m (Ta_2m) [Degrees Celsius] Air humidity 2m (Huma_2m) [Percent] Irradiation (Irradiation) [Watt per square meter] precipitation (PCP) [Millimeter] Date and Time (datetime) (Unitless)

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Corrected plots from areas Loja and Laipuna

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Dataset ID:	1974
Last updated:	2023-02-14
Dataset creators:	Jorge Gribaldo Castillo Armijos Franz Pucha Cofrep
Contact:	Jorge Gribaldo Castillo Armijos Franz Pucha Cofrep
Temporal coverage:	2023-02-14 00:00:00 - 2023-02-14 00:00:00 - time zone: Europe/Berlin
Geographic coverage:	South Ecuador
Abstract:	Corrected plots from Bombuscaro, ECSF, Cajanuma, Z... Abstract: Corrected plots from Bombuscaro, ECSF, Cajanuma, Zamora and Laipuna region as shape files.
Additional info:	--- Additional info:
Keywords:	\| ECSF \| Bombuscaro \| Cajanuma \| Zamora \| Laipuna \| plots \| shape \|
Intellectual rights:	RESPECT

Entity name:	plots_corrected
Entity type:	otherEntity

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ecsf forest orthomosaic NDVI April 2022

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Dataset ID:	1956
Last updated:	2022-07-22
Dataset creators:	Sebastian Scholz Volker Raffelsbauer Katja Trachte
Contact:	Sebastian Scholz
Temporal coverage:	2022-04-02 13:00:00 - 2022-04-02 14:00:00 - time zone: America/Bogota
Geographic coverage:	ECSF forest tower fetch
Abstract:	Orthomosaic containing Georeferenced NDVI Values f... Abstract: Orthomosaic containing Georeferenced NDVI Values from ecsf forest aquired with a low flying UAV.
Additional info:	--- Additional info:
Keywords:	\| ECSF \| mountain rainforest \| orthophotos \| orthomosaic \|
Intellectual rights:	RESPECT data usage agreement

Entity name:	ecsf_ecov_tower_20220402_ndvi_2
Entity type:	otherEntity
Attributes:	Normalized Digital Vegetation Index (NDVI) [Unitless]

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Weekly precipitation, electrical conductivity and pH at the FN3 site (T2 / ECSF climate station) between 2000-2016

Dataset ID:	1675
Last updated:	2017-10-02
Dataset creators:	Andre Velescu Wolfgang Wilcke
Contact:	Wolfgang Wilcke Andre Velescu
Temporal coverage:	2000-05-10 00:00:00 - 2016-12-28 00:00:00 - time zone: -5
Geographic coverage:	ECSF climate station
Abstract:	Weekly time series of precipitation data from the ... Abstract: Weekly time series of precipitation data from the ECSF area at the measuring station FN3 located on T2 near the ECSF meteorological station. Precipitation was measured with 5 Hellmann-type pluviometers. The resulting weekly replicates of precipitation were volume-weighted and bulked to one sample per collecting interval. Electrical conductivity and pH values were measured immediately in unfiltered aliquots in the laboratory at the ECSF.
Additional info:	--- Additional info:
Keywords:	\| precipitation \| electric conductivity \| ECSF \| pH values \| time series \|
Intellectual rights:	PAK 823-825 data user agreement. (www.tropicalmountainforest.org/dataagreementp3.do)

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Entity name:	fn3_precipitation_water_fluxes_ph_ec_v1
Entity info:	Weekly precipitation, EC and pH at FN3 2000-2016
Entity type:	dataTable
Attributes:	Date and Time (datetime) (Unitless) precipitation (PCP) [Millimeter] Electrical conductivity measured in precipitation (ECw_pcp) [Microsiemens per centimeter] PH measured in precipitation (PHw_pcp) [Unitless]

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Climate station data from ECSF Thies station (Extreme Values)

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Dataset ID:	1720
Last updated:	2024-03-07
Dataset creators:	Jörg Bendix Maik Dobbermann Niklas Werner
Contact:	Johannes Schmidt Maik Dobbermann Jörg Bendix
Temporal coverage:	2018-02-23 18:00:00 - 2024-02-19 10:00:00 - time zone: America/Lima
Geographic coverage:	ECSF climate station
Abstract:	--- Abstract:
Additional info:	--- Additional info:
Keywords:	\| ECSF \| extreme values \|
Intellectual rights:	RESPECT

Entity name:	201118_ecsf_x_out
Entity type:	dataTable
Attributes:	minimum Windspeed (min_Windspeed) [Meter per second] Time of minimum Windspeed (TIME_min_Windspeed) (Unitless) maximum Windspeed (max_Windspeed) [Meter per second] Time of maximum Windspeed (TIME_max_Windspeed) (Unitless) minimum wind direction (min_WindDirection) [Degree] Time of minimum wind direction (TIME_min_WindDirection) (Unitless) maximum wind direction (max_WindDirection) [Degree] Time of maximum wind direction (TIME_max_WindDirection) (Unitless) minimum relative humidity (min_relativeHumidity) [Percent] Time of minimum relative humidity (TIME_min_relativeHumidity) (Unitless) maximum relative humidity (max_relativeHumidity) [Percent] Time of maximum relative humidity (TIME_max_relativeHumidity) (Unitless) minimum air temperature (min_AirTemperature) [Degrees Celsius] Time of minimum air temperature (TIME_min_AirTemperature) (Unitless) maximum air temperature (max_AirTemperature) [Degrees Celsius] Time of maximum air temperature (TIME_max_AirTemperature) (Unitless) minimum global radiation (min_gRad) [Watt per square meter] Time of minimum global radiation (TIME_min_gRad) (Unitless) maximum global radiation (max_gRad) [Watt per square meter] Time of maximum global radiation (TIME_max_gRad) (Unitless) minimum global radiation (down) (min_gRadDown) [Watt per square meter] Time of minimum global radiation (down) (TIME_min_gRadDown) (Unitless) maximum global radiation (down) (max_gRadDown) [Watt per square meter] Time of maximum global radiation (down) (TIME_max_gRadDown) (Unitless) minimum precipitation (min_Precipitation) [Millimeter] Time of minimum precipitation (TIME_min_Precipitation) (Unitless) maximum precipitation (max_Precipitation) [Millimeter] Time of maximum precipitation (TIME_max_Precipitation) (Unitless) minimum soil temperature in 10cm (min_Ts_10cm) [Degrees Celsius] Time of minimum soil temperature in 10cm (TIME_min_Ts_10cm) (Unitless) maximum soil temperature in 10cm (max_Ts_10cm) [Degrees Celsius] Time of maximumsoil temperature in 10cm (TIME_max_Ts_10cm) (Unitless) minimum soil temperature in 60cm (min_Ts_60cm) [Degrees Celsius] Time of minimum soil temperature in 60cm (TIME_min_Ts_60cm) (Unitless) maximum soil temperature in 60cm (max_Ts_60cm) [Degrees Celsius] Time of maximum soil temperature in 60cm (TIME_max_Ts_60cm) (Unitless) Date and Time (datetime) (Unitless)

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microbial parameters in NUMEX upper organic layers

Dataset ID:	869
Last updated:	2010-06-16
Dataset creators:	Sandmann Dorothee
Contact:	Sandmann Dorothee
Temporal coverage:	2009-05-01 00:00:00 - 2009-05-01 00:00:00 - time zone: -5
Geographic coverage:	Numex plots San Francisco
Abstract:	--- Abstract:
Additional info:	--- Additional info:
Keywords:	\| biomass \| ECSF \| San Francisco \| Bombuscaro \| Cajanuma \| basal respiration \|
Intellectual rights:	FOR816 data user agreement

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Entity name:	NUMEX microbial parameters
Entity type:	dataTable
Attributes:	location (location) (Unitless) Treatment of the plot (PlotTreat) (Unitless) Plotside for the NUMEX-Experiment (numex_block) (Unitless) ID of the plot (PlotID) (Unitless) Depth below surface (Depth) [Centimeter] Minimum geographic latitude (geocoordinate_latitude_min) [Degree] Maximum geographic latitude (geocoordinate_latitude_max) [Degree] Minimum geographic longitude (geocoordinate_longitude_min) [Degree] Maximum geographic longitude (geocoordinate_longitude_max) [Degree] Height above mean sea level (geocoordinate_amsl) [Meter] microbial carbon (Cmic) [Microgram microbial carbon per gram soil dry weight] basal respiration (MIRR) (BR) [Microliter O2 per g soil dry weight and hour]

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Ergosterolcontent Litterexchangeexperiment

Dataset ID:	861
Last updated:	2010-06-16
Dataset creators:	Franca Marian
Contact:	Sandmann Dorothee Franca Marian
Temporal coverage:	2008-10-01 00:00:00 - 2008-10-01 00:00:00 - time zone: -5
Geographic coverage:	Numex plots San Francisco
Abstract:	--- Abstract:
Additional info:	--- Additional info:
Keywords:	\| fungi \| ECSF \| NUMEX \| Bombuscaro \| Cajanuma \| decomposition \| Ergosterol \|
Intellectual rights:	FOR816 data user agreement

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Entity name:	Ergosterolcontent Litterexchange
Entity type:	dataTable
Attributes:	location (location) (Unitless) Treatment of the plot (PlotTreat) (Unitless) Plotside for the NUMEX-Experiment (numex_block) (Unitless) ID of the plot (PlotID) (Unitless) Type of litter (litter_type) (Unitless) Origin of the litter (litter_origin) (Unitless) time of decay (time_of_decay) (Unitless) Minimum geographic latitude (geocoordinate_latitude_min) [Degree] Maximum geographic latitude (geocoordinate_latitude_max) [Degree] Minimum geographic longitude (geocoordinate_longitude_min) [Degree] Maximum geographic longitude (geocoordinate_longitude_max) [Degree] Height above mean sea level (geocoordinate_amsl) [Meter] Ergosterol content (Ergosterol) [Microgram Ergosterol per gram soil dry weight]

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Trace gas flux and soil temperature, NUMEX

Dataset ID:	1157
Last updated:	2012-09-15
Dataset creators:	Anke K. Müller
Contact:	Anke K. Müller
Temporal coverage:	2010-10-21 00:00:00 - 2011-12-29 00:00:00 - time zone: -5
Geographic coverage:	Investigation areas RBSF, Cajanuma, Bomboscaro
Abstract:	Monthly measurement of soil temperature and soil g... Abstract: Monthly measurement of soil temperature and soil gas fluxes (CO2, N2O) in the NUMEX plots in Bombuscaro, ECSF und Cajanuma
Additional info:	Monthly measurements of gas fluxes were performed ... Additional info: Monthly measurements of gas fluxes were performed using static vented chambers. Soil temperature was taken simultaneously with gas measurements.
Keywords:	\| soil temperature \| average monthly \| ECSF \| gas emission \| NUMEX \| San Francisco \| Bombuscaro \| Cajanuma \| fertilization \|
Intellectual rights:	FOR816 data user agreement

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Entity name:	NUMEX_trace gas and temp
Entity type:	dataTable
Attributes:	Date and Time (datetime) (Unitless) ID of the plot (PlotID) (Unitless) Treatment of the plot (PlotTreat) (Unitless) soil temperature in 10cm (Ts_10cm) [Degrees Celsius] CO2 field soil respiration measurement (CO2s) [Gram of carbon dioxide per square meter and hour] N2O emission from soil (N2Os) [Microgram per square meter and hour]

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Tulasnellales, Sebacinales and Atractiellales associated with terrestrial and epiphytic orchids in RBSF

Dataset ID:	808
Last updated:	2010-06-01
Dataset creators:	Ingrid Kottke Darío Cruz Juan Pablo Suarez Paulo Herrera
Contact:	Ingrid Kottke
Temporal coverage:	2008-04-01 00:00:00 - 2008-04-01 00:00:00 - time zone: -5
Geographic coverage:	Investigation area ECSF
Abstract:	The mycobionts of 103 terrestrial and epiphytic or... Abstract: The mycobionts of 103 terrestrial and epiphytic orchid individuals, sampled in the RBSF from permanently estabished orchid plots, were identified by sequencing the whole ITS1-5.8S-ITS2 region and part of 28S rDNA. Tulasnellales, Sebacinales and for the first time Atractiellales were found.
Additional info:	Plots were established by members of UTPL, Dr. Jua... Additional info: Plots were established by members of UTPL, Dr. Juan Pablo Suarez and his coworkers, on the orchid regeneration land slide, on basis of T1 and in uppar part of T2 as given by geographic parameters. All laboratory work was carried out by the UTPL group mentioned above.
Keywords:	\| Sebacinales \| mycorrhizal fungi \| biodiversity \| forest and open land \| ECSF \| Orchidaceae \| Tulasnellales \| Atractiellales \|
Intellectual rights:	FOR816 data user agreement

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Entity name:	orchid mycorrhizal fungi
Entity type:	dataTable
Attributes:	Life form of host (HostLifeForm) (Unitless) ID of the sample (SampleID) (Unitless) Species name of the host (HostSpecies) (Unitless) Organism (Organism) (Unitless) GenBank number of the organism (GenBNoOrg) (Unitless) Life form (LifeForm) (Unitless) Sequence type of organism (SeqType) (Unitless) ID of the plot (PlotID) (Unitless) Minimum geographic latitude (geocoordinate_latitude_min) [Degree] Maximum geographic latitude (geocoordinate_latitude_max) [Degree] Minimum geographic longitude (geocoordinate_longitude_min) [Degree] Maximum geographic longitude (geocoordinate_longitude_max) [Degree] Height above mean sea level (geocoordinate_amsl) [Meter] Site name (Site_name) (Unitless)

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ecsf forest orthomosaic RGB April 2022

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Dataset ID:	1960
Last updated:	2022-07-22
Dataset creators:	Sebastian Scholz Volker Raffelsbauer Katja Trachte
Contact:	Sebastian Scholz
Temporal coverage:	2022-04-02 06:00:00 - 2022-04-02 07:00:00 - time zone: Europe/Warsaw
Geographic coverage:	ECSF forest tower fetch
Abstract:	Orthomosaic containing Georeferenced RGB Imagery f... Abstract: Orthomosaic containing Georeferenced RGB Imagery from ECSF forest aquired with a low flying UAV.
Additional info:	--- Additional info:
Keywords:	\| ECSF \| mountain rainforest \| orthophotos \| Drone \| orthomosaic \|
Intellectual rights:	RESPECT data usage agreement

Entity name:	ecsf_ecov_tower_20220402_rgb_1
Entity type:	otherEntity
Attributes:	RGB value of imagery (rgbvalue) (Unitless)

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Vascular epiphyte diversity and land-use change

Dataset ID:	852
Last updated:	2010-06-12
Dataset creators:	Florian A. Werner
Contact:	Florian A. Werner
Temporal coverage:	2008-10-01 00:00:00 - 2008-10-01 00:00:00 - time zone: -5
Geographic coverage:	60km Radius Antennenberg
Abstract:	Abundance of vascular epiphytes (incl. hemiepiphyt... Abstract: Abundance of vascular epiphytes (incl. hemiepiphytes) in 10 x 10 m plots across a land-use gradient. All samples (columns) give abundance data for vascular epiphyte assemblages in plots of 10x10 meters. PT = Handtuchfläche secondary forest (RSF), Ai = secondary forest at Arco Iris (Ai1: around Ai-building, Ai2-plots on neighbouring ridge towards W), Q2 = Quebrada 2 (RSF), Q5 = Quebrada 5 (RSF), PP = Pinus plantation above ECSF, LC = Loma Chamusqiuín (1-4: secondary forest below Loja-Zamora road, 5-8: secondary forest above Loja-Zamora road). SF = tall secondary forest at RSF, DF = tall degraded forest at RSF; MF = mature (undisturbed) forest at RSF. Geogr. coordenates still need to be added. Contact: florianwerner@yahoo.com
Additional info:	--- Additional info:
Keywords:	\| Ecuador \| forest and open land \| ECSF \| Orchidaceae \| vascular plants \| plant diversity \| phyto-diversity \| land-use change \| human disturbance \| diversity \| community ecology \| composition \|
Intellectual rights:	FOR816 data user agreement

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Entity name:	Vascular epiphyte diversity and land-use
Entity type:	dataTable
Attributes:	Total number of species (N_Spec) [Unitless] Collection number (collection_no) (Unitless) Genus name (Genus) (Unitless) Species name (Species) (Unitless) Family name (Family) (Unitless) ID of the plot (PlotID) (Unitless) Minimum geographic latitude (geocoordinate_latitude_min) [Degree] Maximum geographic latitude (geocoordinate_latitude_max) [Degree] Minimum geographic longitude (geocoordinate_longitude_min) [Degree] Maximum geographic longitude (geocoordinate_longitude_max) [Degree] Height above mean sea level (geocoordinate_amsl) [Meter] Stand Age (stand_age) [Year]

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ecsf pasture orthomosaic RGB October 2022

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Dataset ID:	1977
Last updated:	2023-03-14
Dataset creators:	Sebastian Scholz
Contact:	Sebastian Scholz
Temporal coverage:	2022-10-10 12:00:00 - 2022-10-10 13:00:00 - time zone: Europe/Berlin
Geographic coverage:	Laipuna
Abstract:	"Orthomosaic containing Georeferenced Band Values ... Abstract: "Orthomosaic containing Georeferenced Band Values from Laipuna pasture acquired with a low flying UAV."
Additional info:	--- Additional info:
Keywords:	\| pasture \| ECSF \| orthophotos \| orthomosaic \|
Intellectual rights:	Copyright 2022 Chair of Atmospheric Processes Brandenburg University of Technology (BTU) Cottbus-Senftenberg. Free for use by all individuals provided that the owners are acknowledged in any use or publication

Entity name:	dronemapping_mdf_pasture_rgb_20221010_1.tif
Entity type:	otherEntity

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ecsf pasture orthomosaic NDVI March 2022

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Dataset ID:	1955
Last updated:	2022-07-22
Dataset creators:	Sebastian Scholz Volker Raffelsbauer Katja Trachte
Contact:	Sebastian Scholz
Temporal coverage:	2022-03-25 06:00:00 - 2022-03-25 07:00:00 - time zone: Europe/Berlin
Geographic coverage:	ECSF pasture
Abstract:	Orthomosaic containing georeferenced NDVI Values f... Abstract: Orthomosaic containing georeferenced NDVI Values from ecsf pasture aquired with a low flying UAV.
Additional info:	--- Additional info:
Keywords:	\| pasture \| ECSF \|
Intellectual rights:	RESPECT data usage agreement

Entity name:	ecsf_ecov_pasture_20220325_ndvi_1
Entity type:	otherEntity
Attributes:	Normalized Digital Vegetation Index (NDVI) [Unitless]

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Soil organic carbon stocks in the ECSF area (spatial prediction)

Dataset ID:	1477
Last updated:	2016-05-31
Dataset creators:	Mareike Ließ
Contact:	Mareike Ließ
Temporal coverage:	2011-03-01 00:00:00 - 2015-12-31 00:00:00 - time zone: -5
Geographic coverage:	ECSF DEM 10m
Abstract:	--- Abstract:
Additional info:	Please refer to "Ließ et al. (2016), Improving the... Additional info: Please refer to "Ließ et al. (2016), Improving the spatial prediction of soil organic carbon stocks in a complex tropical mountain landscape by methodological specifications in machine learning approaches. PLoS ONE, 11(4): e0153673. doi:10.1371/journal.pone.0153673" for further datails.
Keywords:	\| ECSF \| boosted regression trees \| soil organic carbon \| digital soil mapping \|
Intellectual rights:	Ließ et al. (2016), Improving the spatial prediction of soil organic carbon stocks in a complex tropical mountain landscape by methodological specifications in machine learning approaches. PLoS ONE, 11(4): e0153673. doi:10.1371/journal.pone.0153673

Entity name:	SOC stocks spatial density function values
Entity info:	The columns of this data matrix refer to the UTM coordinates, the prediction median (SOC_BRTMED), interquartile range (SOC_BRTIQR), 25% (SOC_BRTQ25) and 75% (SOC_BRTQ75) quantiles of the position specific density functions of the prediction.
Entity type:	otherEntity

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Environmental changes in biodiversity hotspot ecosystems of South Ecuador: RESPonse and feedback effECTs (FOR2730)

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Environmental changes in biodiversity hotspot ecosystems of
South Ecuador: RESPonse and feedback effECTs (FOR2730)