cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.7937085
title: Dataset for yield and carbon sequestration of main tree crops in Indonesia

description: Biophysical productivity of production systems involving oil palm, rubber, cacao, coffee and coconut on mineral soil using the WaNuLCAS model developed by ICRAF. The WaNuLCAS model (van Noordwijk and Lusiana 1999; van Noordwijk et al., 2011) is a generic tree-crop growth model for a wide range of agroforestry systems that considers both aboveground (light) and belowground (soil, water, and nutrients). Yield and carbon sequestration calculation of the corresponding production systems in peatland were developed using a hybrid approach through adjusting results for mineral soil production system with productivity gaps identified through literature review. Finally, land suitability and statistical data analyses were conducted to estimate productivity of sago and pineapple. The dataset cover current practices and potential management improvements of tree crops cultivation that can increase the benefits to people’s livelihood while contributing to climate change mitigation and biodiversity. Results from this study, in combination with other tree-growth and forest regrowth related information, will provide a comprehensive overview on ecological and economic impact of restoration interventions ranging from improved management to ecological restoration. This dataset was created as a part of the RESTORE+ project. The details are described in a separate document (see https://doi.org/10.5281/zenodo.7937135).
description: Funding acknowledgment: This work was supported by the RESTORE+ project (www.restoreplus.org), which is part of the International Climate Initiative (IKI), supported by the Federal Ministry for the Environment, Nature Conservation, Nuclear Safety and Consumer Protection (BMUV) based on a decision adopted by the German Bundestag.
DOI: 10.5281/zenodo.7937084
title: Dataset for yield and carbon sequestration of main tree crops in Indonesia

description: Biophysical productivity of production systems involving oil palm, rubber, cacao, coffee and coconut on mineral soil using the WaNuLCAS model developed by ICRAF. The WaNuLCAS model (van Noordwijk and Lusiana 1999; van Noordwijk et al., 2011) is a generic tree-crop growth model for a wide range of agroforestry systems that considers both aboveground (light) and belowground (soil, water, and nutrients). Yield and carbon sequestration calculation of the corresponding production systems in peatland were developed using a hybrid approach through adjusting results for mineral soil production system with productivity gaps identified through literature review. Finally, land suitability and statistical data analyses were conducted to estimate productivity of sago and pineapple. The dataset cover current practices and potential management improvements of tree crops cultivation that can increase the benefits to people’s livelihood while contributing to climate change mitigation and biodiversity. Results from this study, in combination with other tree-growth and forest regrowth related information, will provide a comprehensive overview on ecological and economic impact of restoration interventions ranging from improved management to ecological restoration. This dataset was created as a part of the RESTORE+ project. The details are described in a separate document (see https://doi.org/10.5281/zenodo.7937135).
description: Funding acknowledgment: This work was supported by the RESTORE+ project (www.restoreplus.org), which is part of the International Climate Initiative (IKI), supported by the Federal Ministry for the Environment, Nature Conservation, Nuclear Safety and Consumer Protection (BMUV) based on a decision adopted by the German Bundestag.
DOI: 10.6092/njj3-hk55
title: European seas - DIVAnd 4D monthly analysis of Water body phosphate 1960/2020 v2021

description: Water body phosphate - Monthly Climatology for the European Seas for the period 1960-2020 on the domain from longitude -45.0 to 70.0 degrees East and latitude 24.0 to 83.0 degrees North.<br> Data Sources: observational data from SeaDataNet/EMODnet Chemistry Data Network.<br> Description of DIVA analysis: The computation was done with the DIVAnd (Data-Interpolating Variational Analysis in n dimensions), version 2.7.2, using GEBCO 30sec topography for the spatial connectivity of water masses. Horizontal correlation length and vertical correlation length vary spatially depending on the topography and domain.<br> Depth range: 0.0, 5.0, 10.0, 15.0, 20.0, 25.0, 30.0, 35.0, 40.0, 45.0, 50.0, 55.0, 60.0, 65.0, 70.0, 75.0, 80.0, 85.0, 90.0, 95.0, 100.0, 125.0, 150.0, 175.0, 200.0, 225.0, 250.0, 275.0, 300.0, 325.0, 350.0, 375.0, 400.0, 425.0, 450.0, 475.0, 500.0, 550.0, 600.0, 650.0, 700.0, 750.0, 800.0, 850.0, 900.0, 950.0, 1000.0, 1050.0, 1100.0, 1150.0, 1200.0, 1250.0, 1300.0, 1350.0, 1400.0, 1450.0, 1500.0, 1550.0, 1600.0, 1650.0, 1700.0, 1750.0, 1800.0, 1850.0, 1900.0, 1950.0, 2000.0, 2100.0, 2200.0, 2300.0, 2400.0, 2500.0, 2600.0, 2700.0, 2800.0, 2900.0, 3000.0, 3100.0, 3200.0, 3300.0, 3400.0, 3500.0, 3600.0, 3700.0, 3800.0, 3900.0, 4000.0, 4100.0, 4200.0, 4300.0, 4400.0, 4500.0, 4600.0, 4700.0, 4800.0, 4900.0, 5000.0, 5100.0, 5200.0, 5300.0, 5400.0, 5500.0 m.<br> Units: umol/l.<br> The horizontal resolution of the produced DIVAnd analysis is 0.25 degrees.
DOI: 10.6092/cyd3-ew67
title: European seas - DIVAnd 4D monthly analysis of Water body silicate 1960/2020 v2021

description: Water body silicate - Monthly Climatology for the European Seas for the period 1960-2020 on the domain from longitude -45.0 to 70.0 degrees East and latitude 24.0 to 83.0 degrees North.<br> Data Sources: observational data from SeaDataNet/EMODnet Chemistry Data Network.<br> Description of DIVA analysis: The computation was done with the DIVAnd (Data-Interpolating Variational Analysis in n dimensions), version 2.7.2, using GEBCO 30sec topography for the spatial connectivity of water masses. Horizontal correlation length and vertical correlation length vary spatially depending on the topography and domain.<br> Depth range: 0.0, 5.0, 10.0, 15.0, 20.0, 25.0, 30.0, 35.0, 40.0, 45.0, 50.0, 55.0, 60.0, 65.0, 70.0, 75.0, 80.0, 85.0, 90.0, 95.0, 100.0, 125.0, 150.0, 175.0, 200.0, 225.0, 250.0, 275.0, 300.0, 325.0, 350.0, 375.0, 400.0, 425.0, 450.0, 475.0, 500.0, 550.0, 600.0, 650.0, 700.0, 750.0, 800.0, 850.0, 900.0, 950.0, 1000.0, 1050.0, 1100.0, 1150.0, 1200.0, 1250.0, 1300.0, 1350.0, 1400.0, 1450.0, 1500.0, 1550.0, 1600.0, 1650.0, 1700.0, 1750.0, 1800.0, 1850.0, 1900.0, 1950.0, 2000.0, 2100.0, 2200.0, 2300.0, 2400.0, 2500.0, 2600.0, 2700.0, 2800.0, 2900.0, 3000.0, 3100.0, 3200.0, 3300.0, 3400.0, 3500.0, 3600.0, 3700.0, 3800.0, 3900.0, 4000.0, 4100.0, 4200.0, 4300.0, 4400.0, 4500.0, 4600.0, 4700.0, 4800.0, 4900.0, 5000.0, 5100.0, 5200.0, 5300.0, 5400.0, 5500.0 m.<br> Units: umol/l.<br> The horizontal resolution of the produced DIVAnd analysis is 0.25 degrees.
DOI: 10.23728/b2share.9ec80969bb78457b8fc2b8766a1e572b
title: Gesäuse-Johnsbachtal - Austria, Local administrative units

description: Local administrative units of the Gesäuse-Johnsbachtal site
DOI: 10.6092/k3yj-6a02
title: Mediterranean Sea - Contaminants aggregated datasets 1974/2017 v2018

description: EMODnet Chemistry aims to provide access to marine chemistry data sets and derived data products concerning eutrophication, ocean acidification and contaminants. The chemicals chosen reflect importance to the Marine Strategy Framework Directive (MSFD). This regional aggregated dataset contains all unrestricted EMODnet Chemistry data on contaminants (24 parameters), and covers the Mediterranean Sea with 4517 CDI records divided per matrices: 520 biota profiles, 560 water profiles, 3437 sediment (26 Vertical profiles and 3411 Time series). In the water dataset, the vertical profiles temporal range is from 1974-09-12 to 2015-09-14. In sediment dataset, vertical profiles temporal range is from 2010-08-02 to 2014-09-28 and time series temporal range is from 1981-06-27 to 2018-08-02. In biota time series temporal range is from 1979-03-29 to 2017-03-15. Data were aggregated and quality controlled by ‘Hellenic Centre for Marine Research, Hellenic National Oceanographic Data Centre (HCMR/HNODC)’ from Greece.
description: Regional datasets concerning contaminants are automatically harvested. Parameter names in these datasets are based on P01, BODC Parameter Usage Vocabulary, which is available at: http://seadatanet.maris2.nl/bandit/browse_step.php . Each measurement value has a quality flag indicator. The resulting data collections for each Sea Basin are harmonised, and the collections are quality controlled by EMODnet Chemistry Regional Leaders using ODV Software and following a common methodology for all Sea Regions."" Harmonisation means that: (1) unit conversion is carried out to express contaminant concentrations with a limited set of measurement units (according to EU directives 2013/39/UE; Comm. Dec. EU 2017/848) and (2) merging of variables described by different “local names” ,but corresponding exactly to the same concepts in BODC P01 vocabulary.""The harmonised dataset can be downloaded as ODV spreadsheet (TXT file), which is composed of metadata header followed by tab separated values. This worksheet can be imported to ODV Software for visualisation (More information can be found at: https://www.seadatanet.org/Software/ODV ).""The same dataset is offered also as XLSX file in a long/vertical format, in which each P01 measurement is a record line. Additionally, there are a series of columns that split P01 terms in subcomponents (measure, substance, CAS number, matrix...).This transposed format is more adapted to worksheet applications users (e.g. LibreOffice Calc).The 24 parameter names in this metadata record are based on P02, SeaDataNet Parameter Discovery Vocabulary, which is available at: http://seadatanet.maris2.nl/v_bodc_vocab_v2/vocab_relations.asp?lib=P02 .""Detailed documentation will be published soon.""The original datasets can be searched and downloaded from EMODnet Chemistry Download Service: http://emodnet-chemistry.maris2.nl/v_cdi_v3/search.asp
DOI: 10.25625/d7exmr
title: Chili pepper fruit-flower ratio, summarized to plots (EFForTS-BEE)

description: Supporting data for "Tree islands enhance biodiversity and functioning in palm oil landscapes" (Zemp et al., 2023). This data summarizes phytometer chili data collected in the the Ecological and Socio-economic Functions of Tropical Lowland Rainforest Transformation Systems (EFForTS) Biodiversity Enrichment Experiment (BEE). The raw data that was processed to form this data is available at Li et al. (2021), referenced within the metadata. Fruit-flower ratio was calculated by dividing the total number of fruits harvested in each plot at the end of the experiment by the total number of flowers observed over a monitoring period prior to harvest. For more information, see the associated references.
DOI: 10.6092/vyvd-0g91
title: Mediterranean Sea - Contaminants aggregated datasets 1974/2018 v2021

description: EMODnet Chemistry aims to provide access to marine chemistry data sets and derived data products concerning eutrophication, ocean acidification and contaminants. The chemicals chosen reflect importance to the Marine Strategy Framework Directive (MSFD). This regional aggregated dataset contains all unrestricted EMODnet Chemistry data on contaminants; temperature, salinity and additional sampling parameters are included when available. The spatial coverage is the Mediterranean Sea with 10917 CDI records divided per matrices: 3095 water profiles and 1385 water timeseries, 1511 sediment profiles and 4083 sediment timeseries, 42 biota profiles and 801 biota timeseries. In the water datasets, the vertical profiles temporal range is from 1974-09-12 to 2015-12-11 and the timeseries temporal range is from 2006-08-17 to 2018-04-26. In the sediment datasets, vertical profiles temporal range is from 1971-01-12 to 2016-04-07 and time series temporal range is from 1981-06-27 to 2018-12-14. For the biota datasets, vertical profiles temporal range is from 2008-05-05 to 2013-05-22 and time series temporal range is from 1979-03-29 to 2017-03-15. Data were harmonised and quality controlled by ‘Hellenic Centre for Marine Research, Hellenic National Oceanographic Data Centre (HCMR/HNODC)’ from Greece.<br> Regional datasets concerning contaminants are automatically harvested. Parameter names in these datasets are based on P01, BODC Parameter Usage Vocabulary, which is available at: http://seadatanet.maris2.nl/bandit/browse_step.php . Each measurement value has a quality flag indicator. The resulting data collections for each Sea Basin are harmonised, and the collections are quality controlled by EMODnet Chemistry Regional Leaders using ODV Software and following a common methodology for all Sea Regions. <br> Harmonisation means that: (1) unit conversion is carried out to express contaminant concentrations with a limited set of measurement units (according to EU directives 2013/39/UE; Comm. Dec. EU 2017/848) and (2) merging of variables described by different “local names” ,but corresponding exactly to the same concepts in BODC P01 vocabulary.<br> Detailed documentation is available at: https://doi.org/10.6092/8b52e8d7-dc92-4305-9337-7634a5cae3f4<br> The harmonised dataset can be downloaded as ODV spreadsheet (TXT file), which is composed of metadata header followed by tab separated values. This worksheet can be imported to ODV Software for visualisation (More information can be found at: https://www.seadatanet.org/Software/ODV ).<br> The same dataset is offered also as TXT file in a long/vertical format, in which each P01 measurement is a record line. Additionally, there are a series of columns that split P01 terms in subcomponents (measure, substance, CAS number, matrix...).This transposed format is more adapted to worksheet applications users (e.g. LibreOffice Calc).<br> The original datasets can be searched and downloaded from EMODnet Chemistry Download Service: https://emodnet-chemistry.maris.nl/search
DOI: 10.6092/5346c32c-acd3-4534-800a-7947f5914315
title: Mediterranean Sea - DIVA 4D 6-year seasonal analysis of Water body chlorophyll-a 1990/2019 v2021

description: Moving 6-year analysis of Water_body_chlorophyll-a in the Mediterranean Sea for each season:<br>- winter: January-March,<br>- spring: April-June,<br>- summer: July-September,<br>- autumn: October-December.<br>Every year of the time dimension corresponds to the 6-year centered average of the season.<br>6-years periods span from 1990-1995 until 2014-2019.<br>Observational data span from 1970 to 2019.<br>Depth range (IODE standard depths): -1000.0, -900.0, -800.0, -700.0, -600.0, -500.0, -400.0, -300.0, -250.0, -200.0, -150.0, -125.0, -100.0, -75.0, -50.0, -30.0, -20.0, -10.0, -5.0, -0.0.<br>Data Sources: observational data from SeaDataNet/EMODnet Chemistry Data Network.<br>Description of DIVA analysis: Geostatistical data analysis by DIVA (Data-Interpolating Variational Analysis) tool. Profiles were interpolated at standard depths using weighted parabolic interpolation algorithm (Reiniger and Ross, 1968). GEBCO 1min topography is used for the contouring preparation. Analysed filed masked using relative error threshold 0.3 and 0.5.<br>DIVA settings: A constant value for signal-to-noise ratio was used equal to 1. Correlation length was optimized and filtered vertically and a seasonally-averaged profile was used.<br>'log(data)-exp(analysis' transformation applied to the data prior to the analysis.<br>Background field: the data mean value is subtracted from the data.<br>Detrending of data: no.<br>Advection constraint applied: no.<br>Units: mg/m^3.<br>The entire set of related maps can be found in the viewing service: http://ec.oceanbrowser.net/emodnet/ .<br><br>Originators of Italian data sets-List of contributors:<br>- Brunetti Fabio (OGS)<br>- Cardin Vanessa, Bensi Manuel doi:10.6092/36728450-4296-4e6a-967d-d5b6da55f306<br>- Cardin Vanessa, Bensi Manuel, Ursella Laura, Siena Giuseppe doi:10.6092/f8e6d18e-f877-4aa5-a983-a03b06ccb987<br>- Cataletto Bruno (OGS)<br>- Cinzia Comici Cinzia (OGS)<br>- Civitarese Giuseppe (OGS)<br>- DeVittor Cinzia (OGS)<br>- Giani Michele (OGS)<br>- Kovacevic Vedrana (OGS)<br>- Mosetti Renzo (OGS)<br>- Solidoro C.,Beran A.,Cataletto B.,Celussi M.,Cibic T.,Comici C.,Del Negro P.,De Vittor C.,Minocci M.,Monti M.,Fabbro C.,Falconi C.,Franzo A.,Libralato S.,Lipizer M.,Negussanti J.S.,Russel H.,Valli G., doi:10.6092/e5518899-b914-43b0-8139-023718aa63f5<br>- Celio Massimo (ARPA FVG)<br>- Malaguti Antonella (ENEA)<br>- Fonda Umani Serena (UNITS)<br>- Bignami Francesco (ISAC/CNR)<br>- Boldrini Alfredo (ISMAR/CNR)<br>- Marini Mauro (ISMAR/CNR)<br>- Miserocchi Stefano (ISMAR/CNR)<br>- Zaccone Renata (IAMC/CNR)<br>- Lavezza, R., Dubroca, L. F. C., Ludicone, D., Kress, N., Herut, B., Civitarese, G., Cruzado, A., Lefèvre, D., Souvermezoglou, E., Yilmaz, A., Tugrul, S., and Ribera d'Alcala, M.: Compilation of quality controlled nutrient profiles from the Mediterranean Sea, doi:10.1594/PANGAEA.771907, 2011.
DOI: 10.25625/s2lpjp/h2kbpe
title: strings.json

description: :unav
DOI: 10.25625/s2lpjp/iii1l1
title: config.cfg

description: :unav
DOI: 10.25625/s2lpjp/cecibh
title: vectors.cfg

description: :unav
DOI: 10.25625/s2lpjp/q7sby2
title: model

description: :unav
DOI: 10.25625/s2lpjp/bhnyjo
title: setup.py

description: :unav
DOI: 10.25625/s2lpjp/e1ydjf
title: trees

description: :unav
DOI: 10.25625/s2lpjp/xcdoer
title: meta.json

description: :unav
DOI: 10.25625/s2lpjp/athdgl
title: cfg

description: :unav
DOI: 10.25625/s2lpjp/3xahdi
title: meta.json

description: :unav
DOI: 10.25625/s2lpjp/x5psgn
title: tokenizer

description: :unav
DOI: 10.25625/s2lpjp/hnvr0g
title: cfg

description: :unav
DOI: 10.25625/s2lpjp/iy2ymw
title: __init__.py

description: :unav
DOI: 10.25625/s2lpjp/7qyxaj
title: model

description: :unav
DOI: 10.25625/s2lpjp/do2ahy
title: moves

description: :unav
DOI: 10.25625/s2lpjp/8la6fo
title: model

description: :unav
DOI: 10.25625/s2lpjp/ln5eam
title: lookups.bin

description: :unav
DOI: 10.25625/s2lpjp/kznq9n
title: cfg

description: :unav
DOI: 10.25625/s2lpjp/hasdvg
title: model

description: :unav
DOI: 10.25625/s2lpjp/ityjzl
title: cfg

description: :unav
DOI: 10.25625/s2lpjp/pvrhil
title: key2row

description: :unav
DOI: 10.25625/s2lpjp/4sg3vc
title: de_de_ud_md

description: :unav
DOI: 10.25625/s2lpjp/ekeete
title: cfg

description: :unav
DOI: 10.25625/s2lpjp/ccakoz
title: model

description: :unav
DOI: 10.25625/s2lpjp/bajrpt
title: MANIFEST.in

description: :unav
DOI: 10.25625/s2lpjp/oqircb
title: README.md

description: :unav
DOI: 10.25625/s2lpjp/v2yfg1
title: vectors

description: :unav
DOI: 10.25625/s2lpjp/sfkk5e
title: README.md

description: :unav
DOI: 10.25364/wegc/wps8.0:2023.2
title: WegenerNet climate station network Level 2 data 
title: version 8.0 (2007-2022)
DOI: 10.6084/m9.figshare.23099051
title: ForceFields_SI.tar.gz

description: Force fields used for DOS calculations
DOI: 10.6092/0c9b94f4-bc1a-43d3-ab46-4768061fc785
title: Mediterranean Sea - DIVA 4D 6-year seasonal analysis of Water body dissolved inorganic nitrogen (DIN) 1990/2019 v2021

description: Moving 6-year analysis of Water_body_dissolved_inorganic_nitrogen_(DIN) in the Mediterranean Sea for each season:<br>- winter: January-March,<br>- spring: April-June,<br>- summer: July-September,<br>- autumn: October-December.<br>Every year of the time dimension corresponds to the 6-year centered average of the season.<br>6-years periods span from 1990-1995 until 2014-2019.<br>Observational data span from 1970 to 2019.<br>Depth range (IODE standard depths): -1100.0, -1000.0, -900.0, -800.0, -700.0, -600.0, -500.0, -400.0, -300.0, -250.0, -200.0, -150.0, -125.0, -100.0, -75.0, -50.0, -30.0, -20.0, -10.0, -5.0, -0.0.<br>Data Sources: observational data from SeaDataNet/EMODnet Chemistry Data Network.<br>Description of DIVA analysis: Geostatistical data analysis by DIVA (Data-Interpolating Variational Analysis) tool. Profiles were interpolated at standard depths using weighted parabolic interpolation algorithm (Reiniger and Ross, 1968). GEBCO 1min topography is used for the contouring preparation. Analysed filed masked using relative error threshold 0.3 and 0.5.<br>DIVA settings: A constant value for signal-to-noise ratio was used equal to 1. Correlation length was optimized and filtered vertically and a seasonally-averaged profile was used.<br>'log(data)-exp(analysis' transformation applied to the data prior to the analysis.<br>Background field: the data mean value is subtracted from the data.<br>Detrending of data: no.<br>Advection constraint applied: no.<br>Units: umol/l.<br>The entire set of related maps can be found in the viewing service: http://ec.oceanbrowser.net/emodnet/ .<br><br>Originators of Italian data sets-List of contributors:<br>- Brunetti Fabio (OGS)<br>- Cardin Vanessa, Bensi Manuel doi:10.6092/36728450-4296-4e6a-967d-d5b6da55f306<br>- Cardin Vanessa, Bensi Manuel, Ursella Laura, Siena Giuseppe doi:10.6092/f8e6d18e-f877-4aa5-a983-a03b06ccb987<br>- Cataletto Bruno (OGS)<br>- Cinzia Comici Cinzia (OGS)<br>- Civitarese Giuseppe (OGS)<br>- DeVittor Cinzia (OGS)<br>- Giani Michele (OGS)<br>- Kovacevic Vedrana (OGS)<br>- Mosetti Renzo (OGS)<br>- Solidoro C.,Beran A.,Cataletto B.,Celussi M.,Cibic T.,Comici C.,Del Negro P.,De Vittor C.,Minocci M.,Monti M.,Fabbro C.,Falconi C.,Franzo A.,Libralato S.,Lipizer M.,Negussanti J.S.,Russel H.,Valli G., doi:10.6092/e5518899-b914-43b0-8139-023718aa63f5<br>- Celio Massimo (ARPA FVG)<br>- Malaguti Antonella (ENEA)<br>- Fonda Umani Serena (UNITS)<br>- Bignami Francesco (ISAC/CNR)<br>- Boldrini Alfredo (ISMAR/CNR)<br>- Marini Mauro (ISMAR/CNR)<br>- Miserocchi Stefano (ISMAR/CNR)<br>- Zaccone Renata (IAMC/CNR)<br>- Lavezza, R., Dubroca, L. F. C., Ludicone, D., Kress, N., Herut, B., Civitarese, G., Cruzado, A., Lefèvre, D., Souvermezoglou, E., Yilmaz, A., Tugrul, S., and Ribera d'Alcala, M.: Compilation of quality controlled nutrient profiles from the Mediterranean Sea, doi:10.1594/PANGAEA.771907, 2011.
DOI: 10.6084/m9.figshare.23099057
title: NMR and XRD raw data in text form.zip

description: NMR and XRD data