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dryad36/100

Data from: Contrasting patterns of functional diversity in coffee root fungal communities associated with organic and conventionally-managed fields

<p>The structure and function of fungal communities in the coffee rhizosphere is shaped by crop environment. Because coffee can be grown along a management continuum from conventional application of pesticides and fertilizers in full sun to organic management in a shaded understory, we used coffee fields to hold host constant while comparing rhizosphere fungal communities in markedly different environmental conditions with regard to shade and inputs. We characterized the shade and soil environment in 25 fields under conventional, organic or transitional management in two regions of Costa Rica. We amplified the ITS2 region of fungal DNA from coffee roots in these fields and characterized the rhizosphere fungal community via high-throughput sequencing. Sequences were assigned to guilds to determine differences in functional diversity and trophic structure among coffee field environments. Organic fields had more shade, a greater richness of shade tree species, more leaf litter, and were less acidic, with lower soil nitrate availability and higher soil copper, calcium, and magnesium than conventionally-managed fields, although differences between organic and conventionally-managed fields in shade, calcium and magnesium depended on region. Differences in richness and community composition of rhizosphere fungi between organic and conventionally-managed fields were also correlated with shade, soil acidity, nitrate, and copper. Trophic structure differed with coffee field management. Saprotrophs, plant pathogens, and mycoparasites were more diverse and plant pathogens were more abundant in organic than in conventionally-managed fields, while saprotroph-plant pathogens were more abundant in conventionally-managed fields. These differences reflected environmental differences and depended on region.</p> <p><b>IMPORTANCE</b></p> <p>Rhizosphere fungi play key roles in ecosystems, as nutrient cyclers, pathogens, and mutualists, yet little is currently known about which environmental factors and how agricultural management shape rhizosphere fungal communities and their functional diversity. This field study of the coffee agroecosystem suggests that organic management not only fosters a greater overall diversity of fungi, but also maintains a greater richness of saprotrophic, plant pathogenic and mycoparasitic fungi that has implications for efficiency of nutrient cycling and regulation of plant pathogen populations in agricultural systems. As well as influencing community composition and richness of rhizosphere fungi, shade management and use of fungicides and synthetic fertilizers altered the trophic structure of the coffee agroecosystem.</p>

opencc-zeroMar 2020View details →
zenodo36/100

VTT-Coffee: A small dataset for instance segmentation and iterative learning

<p>VTT-Coffee is a small scale dataset containing microscopic images of coffee&nbsp;grinds and annotations of their contours (segmentation masks).</p> <p>The dataset is useful to benchmark instance segmentations methods, especially for use cases containing just one class with a lot of variability.</p>

opencc-by-4.0Jun 2021View details →
zenodo36/100

Figure 4. Species accumulation curve for species richness and a in Food habits of the Cougar Puma concolor (Carnivora: Felidae) in the Central Andes of the Colombian Coffee Region

Figure 4. Species accumulation curve for species richness and a non-parametric estimator of species richness Chao 2 at several sectors of the Central Andes of the Coffee Region in Colombia. The species accumulation curve indicates that the sampling shows 100% of the species consumed by the cougar in this area.

opencc-by-nc-4.0Jun 2020View details →
zenodo36/100

Figure 2 in Food habits of the Cougar Puma concolor (Carnivora: Felidae) in the Central Andes of the Colombian Coffee Region

Figure 2. (A) Puma concolor photographed by camera trap in study area. (B) Feces sample. (C) Bones and hair separated from the sample.

opencc-by-nc-4.0Jun 2020View details →
zenodo36/100

Figure 1 in Food habits of the Cougar Puma concolor (Carnivora: Felidae) in the Central Andes of the Colombian Coffee Region

Figure 1. Places of collected puma scats within Central Andes of Colombia. The localities are: (1) Camino de La Fe, (2) El Topacio, (3) Romeral II, (4) Los Alpes, (5) Torre Cuatro, (6) La Enea, and (7) La María.

opencc-by-nc-4.0Jun 2020View details →
zenodo36/100

Figure 3 in Food habits of the Cougar Puma concolor (Carnivora: Felidae) in the Central Andes of the Colombian Coffee Region

Figure 3. Relative biomass of prey orders found in Puma concolor feces at the Central Andes of Colombia.

opencc-by-nc-4.0Jun 2020View details →
zenodo36/100

Figure 3 in The Chrysidoidea Wasps (Hymenoptera, Aculeata) in Conventional Coffee Crops and Agroforestry Systems in Southeastern Brazil

Figure 3. Venn diagram showing exclusive and shared genera of Chrysidoidea among conventional, agroforestry and transitional systems in the "Pontal do Paranapanema" region, São Paulo, Brazil. Bethylidae in blue, Chrysididae in red and Dryinidae in green color.

opencc-by-nc-4.0Nov 2020View details →
zenodo36/100

Figure 2 in The Chrysidoidea Wasps (Hymenoptera, Aculeata) in Conventional Coffee Crops and Agroforestry Systems in Southeastern Brazil

Figure 2. Malaise trap (Townes model) installed in the conventional system (S.J.F. – Conv.), in the "Pontal do Paranapanema" region, São Paulo, Brazil.

opencc-by-nc-4.0Nov 2020View details →
zenodo36/100

Figure 1 in The Chrysidoidea Wasps (Hymenoptera, Aculeata) in Conventional Coffee Crops and Agroforestry Systems in Southeastern Brazil

Figure 1. Map showing the collection sites of Chrysidoidea wasps in the conventional, agroforestry and transitional systems in the "Pontal do Paranapanema" area, state of São Paulo, Brazil. The different colored squares represent: S.A. - Conv. (red); S.J.F. - Conv. (green); S.F.- SAF (yellow), S.J.M. - SAF (blue); S.S. - SAF (white); S.M.-Trans. (light blue).

opencc-by-nc-4.0Nov 2020View details →
zenodo36/100

Coffee can amplifier

Coffee can amplifiers did exist. It's a combination broadband linear amplifier and one or more taps built into a modified coffee can. Each amplifier was assembled by hand, with components soldered directly to the can. Steve Allen donated the amplifier that is on display here at the Cable Center in Denver. The amp he donated was 100% discrete connectors with transistor cans and all the usual stuff. These amplifiers were supposedly built by a small operator in Kyburz, California using schematics from some existing equipment. The basic components were a 5-lb coffee can. Folgers seems to be his preferred brand. The tinned interior of the can facilitated soldering. The builder made components such as fuse clips and power directing jumpers out of pieces of the same can. The amplifier was "tuned" by crimping the edges of the amplifier portion, and then placing it back into the remaining portion of the can until it stopped oscillating. See More: http://cablecenter.org Source: Objaverse 1.0 / Sketchfab

opencc-zeroMar 2016View details →
zenodo36/100

Old Rusty Coffee Can

My first attempt at 3D-scanning, the walls were too thin and so there is a lot of holes in it, although it was whole in the real world. Photos taken with Iphone, combined in meshroom, then a lot of cleaning up in Blender and Substance painter. Source: Objaverse 1.0 / Sketchfab

opencc-byAug 2019View details →
zenodo36/100

16S rRNA Sequence Data, Brazilian Coffee Soils

<p>16S sequencing data for DNA extracted from soils from Brazillian coffee farms. Sequenced on Illumina MiSeq with primers from Caporaso (2011, 2012).</p>

opencc-zeroAug 2014View details →
zenodo36/100

Figure 19 in INTEGRATED PEST MANAGEMENT IN CONILON COFFEE

Figure 19. Damage caused by C. cephalonica.

opencc-by-4.0May 2019View details →
zenodo36/100

Figure 17 in INTEGRATED PEST MANAGEMENT IN CONILON COFFEE

Figure 17. Coffee bean weevil, Araecerus fasciculatus.

opencc-by-4.0May 2019View details →
zenodo36/100

Figure 16 in INTEGRATED PEST MANAGEMENT IN CONILON COFFEE

Figure 16. Coffee tree branches attacked by the black twig borer.

opencc-by-4.0May 2019View details →
zenodo36/100

Figure 15 in INTEGRATED PEST MANAGEMENT IN CONILON COFFEE

Figure 15. Adult stem borer of the coffee tree.

opencc-by-4.0May 2019View details →
zenodo36/100

Figure 18. C in INTEGRATED PEST MANAGEMENT IN CONILON COFFEE

Figure 18. C. cephalonica caterpillar.

opencc-by-4.0May 2019View details →
zenodo36/100

Figure 10 in INTEGRATED PEST MANAGEMENT IN CONILON COFFEE

Figure 10. Imperial Moth Caterpillar, Eacles imperialis magnifica species.

opencc-by-4.0May 2019View details →
zenodo36/100

Figure 5 in INTEGRATED PEST MANAGEMENT IN CONILON COFFEE

Figure 5. Adult coffee berry borer beheaded by the Ivory Coast Wasp.

opencc-by-4.0May 2019View details →
zenodo36/100

Figure 14 in INTEGRATED PEST MANAGEMENT IN CONILON COFFEE

Figure 14. Coffee tree leaves with the broad mite attack symptoms.

opencc-by-4.0May 2019View details →

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Last verified 2026-04-30Open record

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International Brain Laboratory public data

The International Brain Laboratory public data releases expose standardized mouse decision-making experiments, including Neuropixels recordings, widefield calcium imaging, behavior, and session metadata accessed through the ONE API.

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Last verified 2026-04-29Open record

OpenNeuro

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Last verified 2026-04-29Open record