Find research datasets worth reusing

opencc-by-4.0Sep 2016View details →

Fig. 2 in Spider community responds to litter complexity: insights from a small-scale experiment in an exotic pine stand

Fig. 2. Individual-based rarefaction (interpolation, solid lines) and extrapolation (dashed line) from eight experimental units (90 x 60 cm) of simple and complex substrate in a pine stand in Minas do LeÃo, Southern Brazil, under multinomial model, with 95% unconditional confidence intervals (shaded area, bootstrap with 1,000 replications) (based on COLWELL et al. 2012). In parenthesis, the number of individuals and morphospecies observed and estimated (extrapolation) respectively in each treatment.

opencc-by-4.0May 2023View details →

Figure 27 in The Annelid Community of a Natural Deep-sea Whale Fall off Eastern Australia

Figure 27. Phylogeny of the siboglinid genus Osedax based on Bayesian analysis of a combined dataset of the genes COI, 16S and 18S. Numbers adjacent to nodes indicate posterior probabilities, and taxa for which sequences have been contributed by the present study are indicated in bold. Clades containing individuals with nude, pinnulate or no palps are also highlighted.

opencc-by-4.0May 2023View details →

Figure 17 in The Annelid Community of a Natural Deep-sea Whale Fall off Eastern Australia

Figure 17 (facing page). Nereis sp., specimen NHMUKANEA 2022.436. (A) Complete preserved specimen, dorsal view, scale bar is 1 mm; (B) detail of prostomium in dorsal view, scale bar is 500 µm; (C) partially everted pharynx, scale bar is 500 µm; (D) anterior parapodium (number 6), scale bar is 250 µm; (E) mid-body parapodium (number 20), scale bar is 250 µm; (F) parapodium from near posterior (number 36), scalebaris 250 µm. G–Q, chaetal types; A–D from 6th parapodium, E–H from 20th parapodium, I–K from 36th parapodium; (G) notopodial homogomph spiniger, scale bar is 25 µm; (H) neuropodial supra-acicular homogomph spiniger, scale bar is 25 µm; (I) neuropodial supra-acicular heterogomph falciger, scale bar is 50 µm; (J) neuropodial sub-acicular heterogomph falciger, scale bar is 25 µm; (K) notochaetal bundle, scale bar is 50 µm; (L) neurochaetal supra-acicular bundle, scale bar is 50 µm; (M) neuropodial sub-acicular heterogomph falcigers, scale bar is 50 µm; (N) neuropodial sub-acicular heterogomph spinigers, scale bar is 50 µm; (O) notopodial homogomph falcigers, scale bar is 50 µm; (P) neuropodial supra-acicular homogomph spinigers, scale bar is 50 µm; (Q) neuropodial sub-acicular heterogomph spinigers and falcigers, scale bar is 50 µm.

opencc-by-4.0May 2023View details →

Figure 15 in The Annelid Community of a Natural Deep-sea Whale Fall off Eastern Australia

Figure 15 (facing page). Neanthes visicete sp. nov., holotype specimen AMW.53704. (A) Living complete individual, scale bar is 5 mm; (B) detail of prostomium, scale bar is 1 mm; (C) detail of parapodia from middle of body, scale bar is 500 µm; (D) detail of ventral side of pygidium, scale bar is 500 µm; (E) anterior parapodium (number 13), scale bar is 250 µm; (F) mid-body parapodium (number 28), scale bar is 100 µm; (G) parapodium from near posterior (number 67), scale bar is 200 µm; (H) notopodial homogomph spinigers, scale bar is 50 µm; (I) neuropodial homogomph spinigers and homogomph falcigers, dorsal fascicle, scale bar is 50 µm; (J) neuropodial homogomph spinigers and homogomph falcigers, ventral fascicle, scale bar is 50 µm; (K) neuropodial supra-acicular homogomph spinigers, scale bar is 20 µm; (L) neuropodial sub-acicular long and short-bladed spinigers, scale bar is 20 µm. Abbreviations: hos, homogomph spiniger; hof, homogomph falciger.

Fig. 3 in Testate Amoeba Communities of Epilithic Mosses and Lichens: New Data from Russia, Switzerland and Italy

Fig. 3. Taxon richness (A) and test concentration (B) against moisture content expressed as a proportion.

Fig. 2 in Testate Amoeba Communities of Epilithic Mosses and Lichens: New Data from Russia, Switzerland and Italy

Fig. 2. Taxon richness (A), Simpson diversity (B) and test concentration (C) by region. Bars show mean and error bars the standard deviation. Letters denote significant differences (P <0.05) where the global test is significant, see text for details.

Fig. 5 in Testate Amoeba Communities of Epilithic Mosses and Lichens: New Data from Russia, Switzerland and Italy

Fig. 5. Taxon richness (A), Simpson diversity (B) and test concentration (C) for epilithic and epiphytic samples from the Karelia regions. Bars show mean and error bars the standard deviation. Letters denote significant differences (P <0.05), see text for details.

Fig. 4 in Testate Amoeba Communities of Epilithic Mosses and Lichens: New Data from Russia, Switzerland and Italy

Fig. 4. NMDS ordination of testate amoeba relative abundance data from epilithic and epiphytic vegetation of the Karelia region (BrayCurtis dissimilarity).

Fig. 1 in Testate Amoeba Communities of Epilithic Mosses and Lichens: New Data from Russia, Switzerland and Italy

Fig. 1. NMDS ordination of testate amoeba relative abundance data from epilithic mosses and lichens (Bray-Curtis dissimilarity).

opencc-by-4.0Apr 2024View details →

Plant silicon content as a proxy for understanding plant community properties and ecosystem structure

Main dataset from the paper entitled "Plant silicon content as a proxy for understanding plant community properties and ecosystem structure".

Figure 6 in Evaluation of vertical and horizontal changes in community structure of zooplankton in a deep dam lake

Figure 6. CCA triplots for zooplankton abundance and environmental variables (variables are represented by arrows. Species are depicted by points; the numbers indicate sampling stations). Abbreviations: K.coch: K. cochlearis; K.quad: K. quadrata; K.trop: K. tropica; K.long: K. longispina; P.vulg: P. vulgaris; P.doli: P. dolichoptera; S.oblo: S. oblonga; A.prio: A. priodonta; A.brig: A. brightwelli; L.pate: L. patella; L.rhom: L. rhomboides; L.quad: L. quadridentata; Habro.: Habrotrocha sp.; F.long: F. longiseta; D.cucu: D. cucullata; D.long: D. longispina; B.long: B. longirostris; C.spha: C. sphaericus; C.rect: C. rectangula; Cyc sp: Cyclops sp.; Naup: nauplius.

Figure 4 in Evaluation of vertical and horizontal changes in community structure of zooplankton in a deep dam lake

Figure 4. The Shannon–Weaver species diversity index (Hʹ) based on numbers of individuals during the study period.

Figure 1 in Evaluation of vertical and horizontal changes in community structure of zooplankton in a deep dam lake

Figure 1. Map of Karakaya Dam Lake on the Euphrates River in eastern Anatolia. Sampling stations surveyed in this study are indicated.

Figure 3 in Evaluation of vertical and horizontal changes in community structure of zooplankton in a deep dam lake

Figure 3. Vertical distribution of zooplankton in the lake. Total density (ind m–3) of main zooplankton groups was demonstrated at different depths by horizontal bars.

Figure 2 in Evaluation of vertical and horizontal changes in community structure of zooplankton in a deep dam lake

Figure 2. Vertical profiles (every 5 m of depth) of temperature (°C) and dissolved oxygen (mg L–1) in the study area. Illustrations were formed for the vertical zooplankton sampling period.

UV radiation accelerates litter decomposition in a valley-type savanna by enhancing microbial community diversity and function

We present the data of the study by Gao et al. (2024): <a name="_Hlk179470571"></a><a name="OLE_LINK42"></a>UV radiation accelerates litter decomposition in a valley-type savanna by enhancing microbial community diversity and function. The excel file (Raw Data) includes the following sheets: 1- Radiation (w·m-2) variation of UV-A and UV-B during the experimental period. 2- Decay constants (K, yr−1) and changes in the mass loss rate of litter under different UV conditions during the experimental period. 3- The content of lignin, cellulose, C, N and P of litter under different UV conditions during the experimental period. 4- 16S ASVs under different UV conditions. 5- ITS ASVs under different UV conditions.

Papers and KPIs for the Evaluation of Renewable Energy Communities' Performance

This database contains the methodology used to explore and identify the papers that containes KPIs related to the evaluation of RECs performance. This methodology is divided into three phases:  1.1)    Papers Exploration – Comprehensive search of papers in the field of RECs using Scopus and Web Of Science databases; 1.2)    Papers Screening – Initial screening of collected literature based on research domain and accessibility; 1.3)    Papers Eligibility – Further filtering papers by extracting those that explicitly define KPIs through mathematical formulations in the context of the RECs.  In the Papers Exploration step, the authors conducted a systematic review of the state-of-the-art of literature on performance metrics in the context of the renewable energy community. The search was conducted in March 2024 using the search engines Scopus and Web Of Science (the used queries are detailed explain in thte database). The output of this phase is a large database of the most recent and relevant studies, cataloged by the following information: authors, article title, abstract, author keywords, index keywords, and year of publication. At this stage, only journal articles and research works published after 2010 were considered. In the Papers Screening phase, the articles are further filtered by the authors screening manually all papers based on keywords, titles, and abstracts, removing articles not relevant to the context of the RECs. In addition, articles for which it was not possible to access the full text are excluded. In the Papers Eligibility phase, the articles are entirely read to identify those articles that directly address the use of performance metrics. The eligibility criterion used by the reviewers’ team refers to the explicit definition of KPIs through mathematical formulas combined with their direct usage to evaluate RECs’ performances. The main objective of this phase is therefore to identify those articles that explicitly define and use KPIs, so that they can later be collected and labeled, based on their definition and usage. In additions, KPIs are extracted from the papers deemed elegible generating Tables A1, A2, A3 and A4. In these tables, similar KPIs are aggregated together in one single mathematical definition based on the methodology described in <a href="https://papers.ssrn.com/sol3/papers.cfm?abstract_id=4991932">Key Performance Indicators for Renewable Energy Communities: A Comprehensive Review by Lorenzo Giannuzzo, Minuto Francesco Demetrio, Daniele Salvatore Schiera, Samuele Branchetti, Carlo Petrovich, Angelo Frascella, Nicola Gessa, Andrea Lanzini :: SSRN</a>

Supplementary Datasets for "Oceanic enrichment of ammonium and its impacts on phytoplankton community composition under a high-emissions scenario"

These are the four supplementary datasets used in the analysis and work presented in the publication  Oceanic enrichment of ammonium and its impacts on phytoplankton community composition under a high-emissions scenario

Digital repository for: Large-scale forest disturbance and associated management shape bird communities in Central European spruce forests

Repository containing R-script and data to reproduce analysis and main figures on the effect of large-scale forest disturbance and associated pre- and post-disturbance management on bird communities in the Harz Mountains, Germany. R-script includes: <ul> <li>indicator species analysis (R package indicspecies; Cáceres & Legendre, 2009)</li> <li>non-metric multidimensional scaling (R package vegan; Oksanen et al., 2016)</li> <li>rarefaction- and extrapolation of Hill numbers (R package iNEXT; Hsieh et al., 2019)</li> <li>multi-species community distance sampling (R package sp Abundance; Doser et al., 2023)</li> </ul> Attached files: <ul> <li>bird_data_Graser_et_al.csv (row data of bird species point counts per distance category)</li> <li>bird_data_abundance_100_Graser_et_al.csv (abundance of species per sampling site, summed up over all four sampling repeats only considering detected individuals up to 100 m around the sampling point)</li> <li>siteCovs_Graser_et_al.csv (environmental variables for each sampling point)</li> <li>A_species_matrix_100_new_Graser_et_al.csv (species-site matrix of bark-beetle disturbance, unlogged sites for rarefaction and extrapolation, species number summed up over all four sampling repeats only considering detected individuals up to 100 m around the sampling point)</li> <li>B_species_matrix_100_new_Graser_et_al.csv (species-site matrix of windthrow disturbance, unlogged sites for rarefaction and extrapolation, species number summed up over all four sampling repeats only considering detected individuals up to 100 m around the sampling point)</li> <li>C_species_matrix_100_new_Graser_et_al.csv (species-site matrix of bark-beetle/windthrow disturbance, underplanted, unlogged sites for rarefaction and extrapolation, species number summed up over all four sampling repeats only considering detected individuals up to 100 m around the sampling point)</li> <li>D_species_matrix_100_new_Graser_et_al.csv (species-site matrix of bark-beetle /windthrow disturbance, salvage-unlogged sites for rarefaction and extrapolation, species number summed up over all four sampling repeats only considering detected individuals up to 100 m around the sampling point)</li> <li>E_species_matrix_100_new_Graser_et_al.csv (species-site matrix of bark-beetle /windthrow disturbance, underplanted, salvage-unlogged sites for rarefaction and extrapolation, summed up over all four sampling repeats only considering detected individuals up to 100 m around the sampling point)</li> <li> F_species_matrix_100_new_Graser_et_al.csv (species-site matrix of mature spruce plantation sites for rarefaction and extrapolation, species number summed up over all four sampling repeats only considering detected individuals up to 100 m around the sampling point)</li> <li>msHDS_bird_data_management_model_Graser_et_al.rds (R-data set for multi-species community distance sampling of the effect of different pre- and post-disturbance management groups)</li> <li>msHDS_bird_data_stand_age_model_Graser_et_al.rds (R-data set for multi-species community distance sampling of the effect of post-disturbance forest succession)</li> </ul> A more detailed description of the data can be found in the README.txt document. References: Cáceres, M. D., & Legendre, P. (2009). Associations between species and groups of sites: Indices and statistical inference. Ecology, 90(12), 3566–3574. https://doi.org/10.1890/08-1823.1 Doser, J. W., Finley, A. O., Kéry, M., & Zipkin, E. F. (2023). spAbundance: An R package for single‐species and multi‐species spatially explicit abundance models. Methods in Ecology and Evolution, 15(6), 1024–1033. https://doi.org/10.1111/2041-210X.14332 Hsieh, T. C., Ma, K. H., & Chao, A. (2019). iNEXT-package: Interpolation and extrapolation for species diversity. https://cran.r-project.org/web/packages/iNEXT/vignettes/Introduction.html Oksanen, J., Blanchet, F. G., Kindt, R., Legendre, P., O’hara, R. B., Simpson, G. L., Solymos, P., Stevens, M. H. H., Wagner, H., Minchin, P. R., Gavin, L., & Henry, H. (2016). Vegan: Community ecology package. R package version 1.17-4. Http://CRAN. R-Project. Org/Package=vegan.