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CASCADE is a global dataset for 139 extant coccolithophore taxonomic units. CASCADE includes a trait database (size and cellular organic and inorganic carbon contents) and taxonomic-specific global spatiotemporal distributions (Lat/Lon/Depth/Month/Year) of coccolithophore abundance and organic and inorganic carbon stocks. CASCADE covers all ocean basins over the upper 275 meters, spans the years 1964-2019 and includes 33,119 taxonomic-specific abundance observations. Within CASCADE, we characterise the underlying uncertainties due to measurement errors by propagating error estimates between the different studies. Full details of the data set are provided in the associated Scientific Data manuscript. The repository contains five main folders: 1) "Classification", which contains YAML files with synonyms, family-level classifications, and life cycle phase associations and definitions; 2) "Concatenated literature", which contains the merged datasets of size, PIC and POC and which were corrected for taxonomic unit synonyms; 3) "Resampled cellular datasets", which contains the resampled datasets of size, PIC and POC in long format as well as a summary table; 4) "Gridded data sets", which contains gridded datasets of abundance, PIC and POC; 5) "Species lists", which contains spreadsheets of the "common" (>20 obs) and "rare" (<20 obs) species and their number of observations. The CASCADE data set can be easily reproduced using the scripts and data provided in the associated github repository: https://github.com/nanophyto/CASCADE/ (zenodo.12797197) Correspondence to: Joost de Vries, joost.devries@bristol.ac.uk v.0.1.2 has some fixes: 1. The wrongly specified S. neapolitana was removed from synonyms.yml (this species is now S. nana)2. Longitudes were corrected for Guerreiro et al., 20233. A double entry for Dimizia et al., 2015 was fixed4. Units in Sal et al., 2013 were correct to cells/L (previously cells/ml)5. Data from Sal et al., 2013 was re-done, as some species were missing6. Duplicate entries from Baumann et al., 2000 were dropped

Πρόκειται για τη συλλογή των γεωμετριών των δασικών περιοχών που βρίσκονται στο έδαφος της περιφέρειας Friuli Venezia Giulia. Οι περισσότερες από αυτές τις περιοχές καταλαμβάνονται από δάση, όπως ορίζονται στον περιφερειακό νόμο για τα δάση (αριθ. 9/2007). Οι γεωμετρίες προέρχονται από δύο διαφορετικές βάσεις δεδομένων: «Τύποι Forestali 1998», που επικαιροποιήθηκαν το 2010 και «Ολοκλήρωση του ΣΓΠ των τύπων δασών Friuli Venezia Giulia» που πραγματοποιήθηκαν το 2011 και επικυρώθηκαν οριστικά το 2013. Is é an bailiúchán de geometries na limistéar foraoise atá suite i gcríoch Réigiún Friuli Venezia Giulia. Tá an chuid is mó de na limistéir sin á n-áitiú ag foraoisí mar a shainítear leis an Dlí Réigiúnach Foraoise (Uimh.9/2007). Tagann na geoiméadrachtaí ó dhá bhunachar sonraí éagsúla: “Cineálacha Forestali 1998”, a tugadh cothrom le dáta in 2010 agus “Comhlánú GIS de Chineálacha Foraoise Friuli Venezia Giulia” a rinneadh in 2011 agus a bailíochtaíodh go cinntitheach in 2013. Es la colección de las geometrías de las zonas forestales ubicadas en el territorio de la región de Friuli Venezia Giulia. La mayor parte de estas zonas están ocupadas por bosques tal como se definen en la Ley Forestal Regional (N.º9/2007). Las geometrías provienen de dos geodatabases diferentes: «Tipos Forestali 1998», actualizado en 2010 y «Completación del SIG de los tipos forestales de Friuli Venezia Giulia», llevado a cabo en 2011 y validado definitivamente en 2013. Il s’agit de la collection des géométries des zones forestières situées sur le territoire de la région du Frioul-Vénétie Giulia. La plupart de ces zones sont occupées par des forêts telles que définies par la loi forestière régionale (No.9/2007). Les géométries proviennent de deux bases de données différentes: «Types Forestali 1998», mis à jour en 2010 et «Achevée du SIG des types forestiers du Frioul Venezia Giulia» réalisée en 2011 et validée définitivement en 2013. Costituisce la raccolta delle geometrie delle aree forestali situate nel territorio della Regione Friuli Venezia Giulia. In buona parte si tratta di superfici occupate da boschi così come definiti dalla vigente legge forestale regionale (n.9/2007). Le geometrie provengono da due diversi geodatabase: "Tipi Forestali 1998", aggiornato nel 2010 e "Completamento del GIS dei Tipi forestali del Friuli Venezia Giulia" realizzato nel 2011 e validato definitivamente nel 2013. Het is de verzameling van de geometrieën van de bosgebieden gelegen op het grondgebied van de regio Friuli Venezia Giulia. De meeste van deze gebieden worden bewoond door bossen zoals gedefinieerd in de Regional Forest Law (nr.9/2007). De geometrieën zijn afkomstig van twee verschillende geodatabases: „Types Forestali 1998”, bijgewerkt in 2010 en „Voltooiing van het GIS van de bossoorten Friuli Venezia Giulia”, uitgevoerd in 2011 en definitief gevalideerd in 2013. Huwa l-ġbir tal-ġeometriji taż-żoni forestali li jinsabu fit-territorju tar-Reġjun ta’ Friuli Venezia Giulia. Il-biċċa l-kbira ta’ dawn iż-żoni huma okkupati minn foresti kif definit mil-Liġi Reġjonali dwar il-Foresti (Nru.9/2007). Il-ġeometriji ġejjin minn żewġ ġeobażijiet tad-data differenti: “Types Forestali 1998”, aġġornata fl-2010 u “Tlestija tal-GIS tat-Tipi ta’ Foresti ta’ Friuli Venezia Giulia” imwettqa fl-2011 u vvalidata b’mod definittiv fl-2013. Este colecția geometriilor zonelor forestiere situate pe teritoriul regiunii Friuli Venezia Giulia. Cele mai multe dintre aceste zone sunt ocupate de păduri, astfel cum sunt definite în Legea regională privind pădurile (nr.9/2007). Geometriile provin din două baze de date geografice diferite: „Tipuri Forestali 1998”, actualizat în 2010 și „Finalizarea GIS a tipurilor de păduri de Friuli Venezia Giulia”, efectuată în 2011 și validată definitiv în 2013. É a coleção das geometrias das áreas florestais localizadas no território da Região Friuli Venezia Giulia. A maior parte destas áreas é ocupada por florestas, tal como definidas na Lei Regional das Florestas (n.º 9/2007). As geometrias vêm de duas bases de dados geométricas diferentes: «Tipos Forestali 1998», atualizado em 2010 e «Conclusão do SIG dos Tipos Florestais de Friuli Venezia Giulia», realizado em 2011 e validado definitivamente em 2013. It is the collection of the geometries of the forest areas located in the territory of the Friuli Venezia Giulia Region. Most of these areas are occupied by forests as defined by the Regional Forest Law (No.9/2007). The geometries come from two different geodatabases: “Types Forestali 1998”, updated in 2010 and “Completion of the GIS of the Forest Types of Friuli Venezia Giulia” carried out in 2011 and validated definitively in 2013.

Wheat Biomass for Kherson and Poltava regions in Ukraine The dataset contains Dry Above Ground Biomass (DAM) estimates over the Kherson and Poltava regions in Ukraine for years 2020,2021 and 2022. - Processing:The processing is done using the AgriCarbon-EOv1.5 processing chain, using the TREX processing centre at CNES France.The input remote sensing data are L2A Sentinel-2 surface reflectances provided by the MAJA processing chain based on the Copernicus Sentinel-2 L1C data.The Landcover maps are provided using ML Deep learning based on the Copernicus L2A data.The daily weather data is extracted from ERA5Land products (C3S). -Geophysical variable:Dry Above ground biomass of winter wheat in g/m2. - Extents: * DAM estimates over the Copernicus Sentinel-2 tile 36TWT cover the Kherson region.* DAM estimates over the Copernicus Sentinel-2 tile 36UVA cover the Poltava region. - Spatial resolution:10m resolution estimlates over wheat plots identified in the landcover map. - Temporal coverage:Estimates are provided at the end of the wheat cycle for cycles:* The year 2020 correspond to cycle: 2019-2020* The year 2021 corresponds to cycle : 2020-2021* The year 2022 corresponds to cycle : 2021-2022 - Projection: EPSG:32636 - File content: Each Raster file has 2 bands containing respectively: * band1: mean value of DAM in g/m2. * band2: standard deviation of DAM in g/m2. - List of maps:* Dry_aboveground_biomass_2020_T36TWT_Kherson_Ukraine.tif* Dry_aboveground_biomass_2020_T36UVA_Poltava_Ukraine.tif* Dry_aboveground_biomass_2021_T36TWT_Kherson_Ukraine.tif* Dry_aboveground_biomass_2021_T36UVA_Poltava_Ukraine.tif* Dry_aboveground_biomass_2022_T36TWT_Kherson_Ukraine.tif* Dry_aboveground_biomass_2022_T36UVA_Poltava_Ukraine.tif

The Global Yield Gap Atlas project (GYGA - http://yieldgap.org ) has undertaken a yield gap assessment following the protocol recommended by van Ittersum et. al. (van Ittersum et. al., 2013). This datafile holds the results for rainfed rice.

This file collection contains the estimated spatial distribution of the above-ground biomass density (AGB) by the end of the 21st century across the Brazilian Atlantic Forest domain and the respective uncertanty. To develop the models, we used the maximum entropy method with projected climate data to 2100, based on the Intergovernmental Panel on Climate Change (IPCC) Representative Concentration Pathway (RCP) 4.5 from the fifth Assessment Report (AR5). The dataset is composed of four files in GeoTIFF format: calibrated-AGB-distribution.tif: raster file representing the present spatial distribution of the above-ground biomass density in the Atlantic Forest from the calibrated model. Unit: Mg/ha estimated-uncertanty-for-calibrated-agb-distribution.tif: raster file representing the estimated spatial uncertanty distribution of the calibrated above-ground biomass density. Unit: percentage. projected-AGB-distribution-under-rcp45.tif: raster file representing the projected spatial distribution of the above-ground biomass density in the Atlantic Forest by the end of 2100 under RCP 4.5 scenario. Unit: Mg/ha estimated-uncertanty-for-projected-agb-distribution.tif: raster file representing the estimated spatial uncertanty distribution of the projected above-ground biomass density. Unit: percentage. Spatial resolution: 0.0083 degree (ca. 1 km) Coordinate reference system: Geographic Coordinate System - Datum WGS84

These data record the results of processing otter trawl catches (OTSB14; Merrett & Marshall, 1980) from the National Oceanography Centre (NOC, UK) long-term study of the Porcupine Abyssal Plain (PAP), including the PAP-Sustained Observatory time-series. The data concern catches recovered during the RRS Challenger cruise 135 in 1997. Billett, D.S.M. et al. (1998). RRS Challenger Cruise 135, 15 Oct-30 Oct 1997. BENGAL: High resolution temporal and spatial study of the BENthic biology and Geochemistry of a north-eastern Atlantic abyssal Locality. Southampton Oceanography Centre Cruise Report, No. 19, 49pp.| https://www.bodc.ac.uk/resources/inventories/cruise_inventory/reports/ch135_97.pdf

Description: Leaf and invertebrate biomass in streams Project: This dataset was collected as part of the following SAFE research project: A preliminary study of the allochthonous inputs into tropical streams across a land use gradient in Sabah, Malaysia XML metadata: GEMINI compliant metadata for this dataset is available here Data worksheets: There are 2 data worksheets in this dataset: Insects (Worksheet Insects) Dimensions: 23 rows by 11 columns Description: Insect capture rates Fields: Location: SAFE project riparian site (Field type: Location) Stream: SAFE project stream (Field type: ID) Repeat: sample number for that stream (Field type: ID) Total Mass of Insects (g): the total dried mass of insects collected for each of the repeats (Field type: Numeric) Total Insects: the total number of insects collected in each repeat (Field type: Abundance) Hymenoptera: the total number of hymenoptera in each repeat (Field type: Abundance) Diptera: the total number of diptera in each repeat (Field type: Abundance) Coleoptera: the total number of coleoptera in each repeat (Field type: Abundance) Other.Insect: the grouped total of Hemiptera, Thysanoptera, Orthoptera, Blattodea, Trichoptera, Mantodea, Ephemeroptera, Dermaptera for each repeat (Field type: Abundance) Other: the grouped total of Arachnida, Entognatha, Diplopoda, Chilopoda for each repeat (Field type: Abundance) Hydrology (Worksheet Hydrology) Dimensions: 60 rows by 17 columns Description: River characteristics and litter quantities Fields: Location: SAFE project riparian site (Field type: Location) Stream Code: The stream from which the sample was taken (LFE, 15m, 30m, VJR or OP) (Field type: ID) Transect No.: The point of each sample within the 100m transect at each stream (Field type: ID) Channel Width: The bank full width of the channel at this point (Field type: Numeric) Wetted Width: The width of the runnin water at this point (Field type: Numeric) SAFE Habitat Quality Right: the SAFE Habitat quality on the right of the channel when looking upstream (Field type: Ordered Categorical) SAFE Habitat Quality Centre: the SAFE Habitat quality in the centre of the channel when looking upstream (Field type: Ordered Categorical) SAFE Habitat Quality Left: the SAFE Habitat quality on the left of the channel when looking upstream (Field type: Ordered Categorical) Flow Rate Right (s): the time taken for a tennis ball to travel 10m in the water on the right of the channel when looking upstream (Field type: Numeric) Flow Rate Centre (s): the time taken for a tennis ball to travel 10m in the water in the centre of the channel when looking upstream (Field type: Numeric) Flow Rate Left (s): the time taken for a tennis ball to travel 10m in the water on the left of the channel when looking upstream (Field type: Numeric) Average Flow Rate (s): an average of flow rate centre, flow rate left and flow rate right (Field type: Numeric) Leaf Litter Retention (g): the dried mass of leaf litter retained across the wetted width of the stream at each point (Field type: Numeric) Average Substrate Size: the average size of the substrate across the channel width of the stream at each point (Field type: Numeric) Leaf Litter Trap Position: the position where the leaf litter trap was placed relative to the stream when looking upstream (left, right or centre) (Field type: Categorical) Leaf Litter Mass: the dried mass of leaf litter collected in the leaf litter trap at each point (Field type: Numeric) Date range: 2017-02-06 to 2017-07-06 Latitudinal extent: 4.6314 to 4.7273 Longitudinal extent: 117.4556 to 117.6233 Taxonomic coverage: All taxon names are validated against the GBIF backbone taxonomy. If a dataset uses a synonym, the accepted usage is shown followed by the dataset usage in brackets. Taxa that cannot be validated, including new species and other unknown taxa, morphospecies, functional groups and taxonomic levels not used in the GBIF backbone are shown in square brackets. Animalia - Arthropoda - - Insecta - - - Coleoptera - - - Diptera - - - Hymenoptera - - [Other.Insect]

This dataset contains files produced for and generated from the CCAFS Household Baseline Study carried out in sites in Latin America (Trifinio in Honduras/Guatemala, and Cauca in Colombia) and in South-East Asia (a site in each of Cambodia, Laos and Vietnam) in the latter months of 2014 and the early months of 2015. There are six sites in all (two sites from Trifinio). Before downloading any of the files, particularly the data files, please download and read the CCAFS ReadMe file which is prefixed by the code 0000. To gain access to the GPS coordinates from the restricted files please download and complete the Non-disclosure agreement from the file "0002 Non-Disclosure Agreement 2013-01-20.pdf" and send this to Wiebke Foerch at w.foerch@cgiar.org The study was based on earlier baseline studies carried out in sites in West and East Africa and in South Asia. Data and other files from these earlier studies are available in a separate dataset in this Dataverse archive. (CCAFS Household Baseline Survey 2010-2012). If you are intending to use data from both studies together we suggest you read the file "0001 Questionnaire Differences & Recoding Details 2015-10-29.pdf" which explains differences between the two studies.

The Global Yield Gap Atlas project (GYGA - http://yieldgap.org ) has undertaken a yield gap assessment following the protocol recommended by van Ittersum et. al. (van Ittersum et. al., 2013). This datafile holds the results for rainfed sugarcane.