Find research datasets worth reusing

opencc-by-4.0Jun 2022View details →

Data from: Fundamental study of multi-track friction surfacing deposits for dissimilar aluminum alloys with application to additive manufacturing

This dataset contains the data for the publication "Fundamental study of multi-track friction surfacing deposits for dissimilar aluminum alloys with application to additive manufacturing".

opencc-by-4.0Dec 2016View details →

Dissimilarity between scientific fields

Datasets and supporting material used in the manuscript "Using text analysis to quantify the similarity and evolution of scientific disciplines", by L. Dias, M. Gerlach, J. Scharloth and E. G. Altmann, available at https://arxiv.org/abs/1706.08671 There are four types of information: 1. Classification One file (classification.csv) Provides the classification of scientific fields in domains, disciplines, and specialties, according to the ISI-Web-of-Science/OECD classification. 2. Divergencies Seven ".csv" files D_level_dimension.csv The divergence between two scientific fields, as discussed in the manuscript (E.g., Fig. 1). The files correspond to the combinations between three dimensions (experts, citations, and language) and three levels of classification of scientific fields (domains, disciplines, and speciaties). The first row and column in each file indicates the number of the scientific field, see the file "classficiation.csv" for details. 3. Temporal evolution One file (D_over_time.csv) The language divergence between two disciplines D_i,j computed at different years (y in [1991-2014]). The two first columns indicate the code of the disciplines i and j, see file classification.csv mentioned in point 1 above. The first row indicates the year. The entries of the table are D_i,j. The entry "nan" indicates that in that year the corpus of disciplines i and j were not long enough for the computation of D_i,j (less than 20,000 types), see Materials and Methods of the paper. The results of this table were used in Fig. 4 of the paper. 4. List of words The list of contractions was obtained from the Wikipedia List of English Contractions (http://en.wikipedia.org/wiki/Wikipedia:List_of_English_contractions). The list of stop word was constructed mixing the lists found in NLTK (http://www.nltk.org/), Gensim (http://radimrehurek.com/gensim/index.html), Mallet (http://mallet.cs.umass.edu/) and the Python Machine Learning Toolkit (http://scikit-learn.org). List of Contractions: "she'll": 'she will', "shouldn't've": 'should not have', "she'll've": 'she will have', "don't": 'do not', "should've": 'should have', "won't": 'will not', "who'll've": 'who will have', "he's": 'he is', "when's": 'when is', "we've": 'we have', "he'd": 'he had', "ma'am": 'madam', "y'all're": 'you all are', "he'd've": 'he would have', "how'd'y": 'how do you', "shan't've": 'shall not have', "haven't": 'have not', "who's": 'who is', 'gonna': 'going to', "they'd": 'they would', "oughtn't": 'ought not', "you've": 'you have', "she'd've": 'she would have', "we'll": 'we will', "mayn't": 'may not', "they've": 'they have', "mustn't've": 'must not have', "could've": 'could have', "what've": 'what have', "mustn't": 'must not', "isn't": 'is not', "that'd've": 'that would have', "i'll": 'i will', "why's": 'why is', "you'd": 'you would', "couldn't've": 'could not have', "they'll've": 'they will have', "we'd": 'we would', "y'all'd": 'you all would', "he'll've": 'he will have', "shan't": 'shall not', "y'all'd've": 'you all would have', "there'd": 'there would', "needn't": 'need not', "where'd": 'where did', "hadn't've": 'had not have', "wouldn't've": 'would not have', "there's": 'there is', "shouldn't": 'should not', "they'll": 'they will', "needn't've": 'need not have', "mightn't": 'might not', "you're": 'you are', "so've": 'so have', "what'll": 'what will', "mightn't've": 'might not have', "hadn't": 'had not', "aren't": 'are not', "where's": 'where is', "wouldn't": 'would not', "i'd": 'i would', "weren't": 'were not', "would've": 'would have', "i'm": 'i am', "it'll": 'it will', "we'd've": 'we would have', "can't": 'cannot', "y'all": 'you all', "couldn't": 'could not', "how'll": 'how will', "doesn't": 'does not', "when've": 'when have', "how's": 'how is', "it's": 'it is', "y'all've": 'you all have', "how'd": 'how did', "we're": 'we are', "it'd": 'it would', "what're": 'what are', "i've": 'i have', "oughtn't've": 'ought not have', "what's": 'what is', "ain't": 'am not', "who'll": 'who will', "i'd've": 'i would have', "must've": 'must have', "they're": 'they are', "you'd've": 'you would have', "wasn't": 'was not', "it'll've": 'it will have', "hasn't": 'has not', "won't've": 'will not have', "so's": 'so is', "you'll've": 'you will have', "there'd've": 'there would have', "i'll've": 'i will have', "didn't": 'did not', "where've": 'where have', "they'd've": 'they would have', "why've": 'why have', "it'd've": 'it would have', "who've": 'who have', "sha'n't": 'shall not', "to've": 'to have', "o'clock": 'of the clock', "let's": 'let us', "what'll've": 'what will have', "might've": 'might have', "he'll": 'he will', "that'd": 'that would', 'wanna': 'want to', "we'll've": 'we will have', "she'd": 'she would', "can't've": 'cannot have', "you'll": 'you will', "will've": 'will have', "she's": 'she is', "that's": 'that is' List of Stopwords: a, about, above, after, afterward, afterwards, again, against, all, almost, along, already, also, although, always, am, among, amongst, an, and, another, any, anybody, anyhow, anyone, anything, anyway, anyways, anywhere, are, around, as, aside, at, be, became, because, become, becomes, becoming, been, before, beforehand, behind, being, below, beside, besides, between, beyond, both, but, by, can, "cant", cannot, could, "couldnt", did, "didnt", do, does, "doesnt", doing, "dont", down, downwards, due, each, eg, either, else, elsewhere, enough, etc, even, ever, every, everybody, everyone, everything, everywhere, ex, except, for, former, formerly, find, found, from, further, furthermore, get, gets, getting, go, goes, going, gone, got, gotten, had, has, "hasnt", have, having, he, hence, her, here, hereafter, hereby, herein, hereupon, hers, herself, him, himself, his, hither, hitherto, how, however, i, ie, if, ii, iii, in, indeed, insofar, instead, into, inward, is, it, its, itself, iv, just, less, may, maybe, me, meanwhile, might, mine, more, moreover, most, mostly, must, my, myself, neither, nevertheless, new, no, non, none, nonetheless, nor, not, now, nowhere, obviously, occurs, of, off, often, on, only, onto, or, other, others, otherwise, our, ours, ourselves, out, over, own, perhaps, put, quite, rather, respectively, same, several, shall, she, should, show, showed, shown, shows, similar, since, so, some, somehow, someone, something, sometime, sometimes, somewhere, still, such, than, that, "thats", the, their, theirs, them, themselves, then, thence, thenceforth, there, "theres", thereafter, thereby, therefore, therein, theres, thereupon, these, they, this, thorough, thoroughly, those, though, through, throughout, thru, thus, to, together, too, toward, towards, under, until, unto, up, upon, upwards, us, use, used, using, various, very, was, we, well, were, what, whatever, when, whence, whenever, where, whereafter, whereas, whereby, wherein, whereupon, wherever, whether, which, while, whither, who, whoever, whole, whom, whose, why, will, with, within, without, would, yet, you, your, yours, yourself, yourselves

opencc-by-4.0Dec 2022View details →

Figure 2. Dendrogram representing the genetic dissimilarity among the 64 P in Genetic diversity of Peltophorum dubium (Spreng.) Taub. progenies from the states of Minas Gerais and Mato Grosso do Sul, Brazil

Figure 2. Dendrogram representing the genetic dissimilarity among the 64 P. dubium progenies, obtained by average linkage clustering method and using the Euclidean distance as a measure of dissimilarity. Cophenetic correlation coefficient (0.756). Dourados/ MS, 2018-2019.

opencc-by-4.0Oct 2018View details →

Climatic dissimilarity data for North America at 1 km resolution.

The raster data layers contained in this archive represent climatic dissimilarity as the distance in multivariate climate space (represented by the 1st and 2nd axes of a principal components analysis based on 11 bioclimatic variables) between current (1981-2010) and future (either 2041-2070 ("2055") or 2071-2100 ("2085")) time periods. Ensemble data are based on mean projections from 15 CMIP5 models (CanESM2, ACCESS1.0, IPSL-CM5A-MR, MIROC5, MPI-ESM-LR, CCSM4, HadGEM2-ES, CNRM-CM5, CSIRO Mk 3.6, GFDL-CM3, INM-CM4, MRI-CGCM3, MIROC-ESM, CESM1-CAM5, GISS-E2R) that were chosen to represent all major clusters of similar AOGCMs. Projections from 8 of these 15 GCMs were also used to generate dissimilarity values based on individual GCM projections. Input bioclimatic data was developed by statistical downscaling using the ClimateNA software developed by T. Wang. Additional description of the data can be found at https://adaptwest.databasin.org/pages/climatic-dissimilarity.

opencc-by-4.0Aug 2019View details →

Dissimilarity matrices for molluscs dataset

Dissimilarity matrices for Guadeloupe molluscs dataset, associated to Jabot et al. 2019. Assessing metacommunity processes through signatures in spatiotemporal turnover of community composition. DOI: https://doi.org/10.1101/480335

dryad40/100

Similar parasite communities but dissimilar infection patterns in two closely related chickadee species

Haemosporidian parasite communities are broadly similar in Boulder County, CO between two common songbirds –– the Black-capped Chickadee (Poecile atricapillus) and Mountain Chickadee (Poecile gambeli). However, Mountain Chickadees appear more likely to be infected with Plasmodium and potentially experience higher infection burdens with Leucocytozoon in contrast to Black-capped Chickadees. We found that elevation change (and associated ecology) drives the distributions of these parasite genera. For Boulder County chickadees, environmental factors play a more important role in structuring haemosporidian communities than host evolutionary differences. However, evolutionary differences are likely key to shaping the probability of infection, infection burden, and whether an infection remains detectable over time. We found that for recaptured birds, their infection status (i.e., presence or absence of detectable parasite infection) tends to remain consistent across capture periods. We sampled 234 chickadees between 2017–2021 across a ~1500-meter elevation gradient from low elevation (i.e., the city of Boulder) to comparatively high elevation (i.e., the CU Boulder Mountain Research Station). It is unknown whether long-term haemosporidian abundance trends have changed over time in our sampling region. However, we ask whether potentially disparate patterns of Plasmodium susceptibility and Leucocytozoon infection burden could be playing a role in the negative population trends of Mountain Chickadees.

opencc-zeroJul 2023View details →

dryad40/100

Similar parasite communities but dissimilar infection patterns in two closely related chickadee species

Open the record for dataset details and reuse information.

publicJul 2023View details →

The Tree of Life eDNA metabarcoding reveals a similar taxonomic richness but dissimilar evolutionary lineages between seaports and marine reserves (metazoa data)

This dataset is associated to the following publication: Macé, B., Mouillot, D., Dalongeville, A., Bruno, M., Deter, J., Varenne, A., Gudefin, A., Boissery, P., & Manel, S. (2024). The Tree of Life eDNA metabarcoding reveals a similar taxonomic richness but dissimilar evolutionary lineages between seaports and marine reserves. Molecular Ecology, e17373. <a href="https://doi.org/10.1111/mec.17373">https://doi.org/10.1111/mec.17373</a> It contains the data obtained with the metazoa marker: <ul> <li>fastq files are the raw NGS eDNA sequencing outputs</li> <li>dat file records the adapters names and oligos used for sequencing</li> </ul> Metadata associated to each eDNA sample are also provided.   Methods <blockquote> eDNA extractions were performed in a BSL-2 lab dedicated for eDNA samples following the protocol described in Polanco Fernández et al. (2021). Four PCR amplifications were conducted with different assays covering the whole tree of life. The teleo primer pair (Valentini et al., 2016) targets a 12S mitochondrial DNA marker from teleosts and elasmobranchs; the metazoa primer pair (Kelly et al., 2016) targets a 16S mitochondrial DNA marker from metazoans; the euka2 primer pair (Guardiola et al., 2015) targets a marker from eukaryotes located on the V7 region of the 18S ribosomal RNA; and the bact2 primer pair (Taberlet et al., 2018) targets a marker from prokaryotes located on the V4 region of the 16S ribosomal RNA. The idea of this experimental design is to give a holistic overview of communities, with a nested hierarchy euka2-metazoa-teleo to obtain a finer taxonomic resolution over animal communities, and particularly fish. Twelve PCR replicates per sample were run, with negative extractions and PCR positive and negative controls analyzed in parallel. Unique tags were used for each PCR replicate amplified with the teleo primers only, allowing to differentiate them in the bioinformatic analysis (see after). NGS library preparation and MiSeq paired-end sequencing (2 × 150 bp) were performed at DNA Gensee (Le Bourget-du-Lac, France). </blockquote>   References Guardiola, M., Uriz, M. J., Taberlet, P., Coissac, E., Wangensteen, O. S., & Turon, X. (2015). Deep-Sea, Deep-Sequencing: Metabarcoding Extracellular DNA from Sediments of Marine Canyons. PLOS ONE, 10(10), e0139633. https://doi.org/10.1371/journal.pone.0139633 Kelly, R. P., O’Donnell, J. L., Lowell, N. C., Shelton, A. O., Samhouri, J. F., Hennessey, S. M., Feist, B. E., & Williams, G. D. (2016). Genetic signatures of ecological diversity along an urbanization gradient. PeerJ, 4, e2444. https://doi.org/10.7717/peerj.2444 Polanco Fernández, A., Marques, V., Fopp, F., Juhel, J.-B., Borrero-Pérez, G. H., Cheutin, M.-C., Dejean, T., González Corredor, J. D., Acosta-Chaparro, A., Hocdé, R., Eme, D., Maire, E., Spescha, M., Valentini, A., Manel, S., Mouillot, D., Albouy, C., & Pellissier, L. (2021). Comparing environmental DNA metabarcoding and underwater visual census to monitor tropical reef fishes. Environmental DNA, 3(1), 142–156. https://doi.org/10.1002/edn3.140 Taberlet, P., Bonin, A., Zinger, L., & Coissac, E. (2018). Environmental DNA: For Biodiversity Research and Monitoring. Oxford University Press. Valentini, A., Taberlet, P., Miaud, C., Civade, R., Herder, J., Thomsen, P. F., Bellemain, E., Besnard, A., Coissac, E., Boyer, F., Gaboriaud, C., Jean, P., Poulet, N., Roset, N., Copp, G. H., Geniez, P., Pont, D., Argillier, C., Baudoin, J.-M., … Dejean, T. (2016). Next-generation monitoring of aquatic biodiversity using environmental DNA metabarcoding. Molecular Ecology, 25(4), 929–942. https://doi.org/10.1111/mec.13428

The Tree of Life eDNA metabarcoding reveals a similar taxonomic richness but dissimilar evolutionary lineages between seaports and marine reserves (bact2 data)

This dataset is associated to the following publication: Macé, B., Mouillot, D., Dalongeville, A., Bruno, M., Deter, J., Varenne, A., Gudefin, A., Boissery, P., & Manel, S. (2024). The Tree of Life eDNA metabarcoding reveals a similar taxonomic richness but dissimilar evolutionary lineages between seaports and marine reserves. Molecular Ecology, e17373. <a href="https://doi.org/10.1111/mec.17373">https://doi.org/10.1111/mec.17373</a> It contains the data obtained with the bact2 marker: <ul> <li>fastq files are the raw NGS eDNA sequencing outputs</li> <li>dat file records the adapters names and oligos used for sequencing</li> </ul> Metadata associated to each eDNA sample are also provided.   Methods <blockquote> eDNA extractions were performed in a BSL-2 lab dedicated for eDNA samples following the protocol described in Polanco Fernández et al. (2021). Four PCR amplifications were conducted with different assays covering the whole tree of life. The teleo primer pair (Valentini et al., 2016) targets a 12S mitochondrial DNA marker from teleosts and elasmobranchs; the metazoa primer pair (Kelly et al., 2016) targets a 16S mitochondrial DNA marker from metazoans; the euka2 primer pair (Guardiola et al., 2015) targets a marker from eukaryotes located on the V7 region of the 18S ribosomal RNA; and the bact2 primer pair (Taberlet et al., 2018) targets a marker from prokaryotes located on the V4 region of the 16S ribosomal RNA. The idea of this experimental design is to give a holistic overview of communities, with a nested hierarchy euka2-metazoa-teleo to obtain a finer taxonomic resolution over animal communities, and particularly fish. Twelve PCR replicates per sample were run, with negative extractions and PCR positive and negative controls analyzed in parallel. Unique tags were used for each PCR replicate amplified with the teleo primers only, allowing to differentiate them in the bioinformatic analysis (see after). NGS library preparation and MiSeq paired-end sequencing (2 × 150 bp) were performed at DNA Gensee (Le Bourget-du-Lac, France). </blockquote>   References Guardiola, M., Uriz, M. J., Taberlet, P., Coissac, E., Wangensteen, O. S., & Turon, X. (2015). Deep-Sea, Deep-Sequencing: Metabarcoding Extracellular DNA from Sediments of Marine Canyons. PLOS ONE, 10(10), e0139633. https://doi.org/10.1371/journal.pone.0139633 Kelly, R. P., O’Donnell, J. L., Lowell, N. C., Shelton, A. O., Samhouri, J. F., Hennessey, S. M., Feist, B. E., & Williams, G. D. (2016). Genetic signatures of ecological diversity along an urbanization gradient. PeerJ, 4, e2444. https://doi.org/10.7717/peerj.2444 Polanco Fernández, A., Marques, V., Fopp, F., Juhel, J.-B., Borrero-Pérez, G. H., Cheutin, M.-C., Dejean, T., González Corredor, J. D., Acosta-Chaparro, A., Hocdé, R., Eme, D., Maire, E., Spescha, M., Valentini, A., Manel, S., Mouillot, D., Albouy, C., & Pellissier, L. (2021). Comparing environmental DNA metabarcoding and underwater visual census to monitor tropical reef fishes. Environmental DNA, 3(1), 142–156. https://doi.org/10.1002/edn3.140 Taberlet, P., Bonin, A., Zinger, L., & Coissac, E. (2018). Environmental DNA: For Biodiversity Research and Monitoring. Oxford University Press. Valentini, A., Taberlet, P., Miaud, C., Civade, R., Herder, J., Thomsen, P. F., Bellemain, E., Besnard, A., Coissac, E., Boyer, F., Gaboriaud, C., Jean, P., Poulet, N., Roset, N., Copp, G. H., Geniez, P., Pont, D., Argillier, C., Baudoin, J.-M., … Dejean, T. (2016). Next-generation monitoring of aquatic biodiversity using environmental DNA metabarcoding. Molecular Ecology, 25(4), 929–942. https://doi.org/10.1111/mec.13428

The Tree of Life eDNA metabarcoding reveals a similar taxonomic richness but dissimilar evolutionary lineages between seaports and marine reserves (euka2 data)

This dataset is associated to the following publication: Macé, B., Mouillot, D., Dalongeville, A., Bruno, M., Deter, J., Varenne, A., Gudefin, A., Boissery, P., & Manel, S. (2024). The Tree of Life eDNA metabarcoding reveals a similar taxonomic richness but dissimilar evolutionary lineages between seaports and marine reserves. Molecular Ecology, e17373. <a href="https://doi.org/10.1111/mec.17373">https://doi.org/10.1111/mec.17373</a> It contains the data obtained with the euka2 marker: <ul> <li>fastq files are the raw NGS eDNA sequencing outputs</li> <li>dat file records the adapters names and oligos used for sequencing</li> </ul> Metadata associated to each eDNA sample are also provided.   Methods <blockquote> eDNA extractions were performed in a BSL-2 lab dedicated for eDNA samples following the protocol described in Polanco Fernández et al. (2021). Four PCR amplifications were conducted with different assays covering the whole tree of life. The teleo primer pair (Valentini et al., 2016) targets a 12S mitochondrial DNA marker from teleosts and elasmobranchs; the metazoa primer pair (Kelly et al., 2016) targets a 16S mitochondrial DNA marker from metazoans; the euka2 primer pair (Guardiola et al., 2015) targets a marker from eukaryotes located on the V7 region of the 18S ribosomal RNA; and the bact2 primer pair (Taberlet et al., 2018) targets a marker from prokaryotes located on the V4 region of the 16S ribosomal RNA. The idea of this experimental design is to give a holistic overview of communities, with a nested hierarchy euka2-metazoa-teleo to obtain a finer taxonomic resolution over animal communities, and particularly fish. Twelve PCR replicates per sample were run, with negative extractions and PCR positive and negative controls analyzed in parallel. Unique tags were used for each PCR replicate amplified with the teleo primers only, allowing to differentiate them in the bioinformatic analysis (see after). NGS library preparation and MiSeq paired-end sequencing (2 × 150 bp) were performed at DNA Gensee (Le Bourget-du-Lac, France). </blockquote>   References Guardiola, M., Uriz, M. J., Taberlet, P., Coissac, E., Wangensteen, O. S., & Turon, X. (2015). Deep-Sea, Deep-Sequencing: Metabarcoding Extracellular DNA from Sediments of Marine Canyons. PLOS ONE, 10(10), e0139633. https://doi.org/10.1371/journal.pone.0139633 Kelly, R. P., O’Donnell, J. L., Lowell, N. C., Shelton, A. O., Samhouri, J. F., Hennessey, S. M., Feist, B. E., & Williams, G. D. (2016). Genetic signatures of ecological diversity along an urbanization gradient. PeerJ, 4, e2444. https://doi.org/10.7717/peerj.2444 Polanco Fernández, A., Marques, V., Fopp, F., Juhel, J.-B., Borrero-Pérez, G. H., Cheutin, M.-C., Dejean, T., González Corredor, J. D., Acosta-Chaparro, A., Hocdé, R., Eme, D., Maire, E., Spescha, M., Valentini, A., Manel, S., Mouillot, D., Albouy, C., & Pellissier, L. (2021). Comparing environmental DNA metabarcoding and underwater visual census to monitor tropical reef fishes. Environmental DNA, 3(1), 142–156. https://doi.org/10.1002/edn3.140 Taberlet, P., Bonin, A., Zinger, L., & Coissac, E. (2018). Environmental DNA: For Biodiversity Research and Monitoring. Oxford University Press. Valentini, A., Taberlet, P., Miaud, C., Civade, R., Herder, J., Thomsen, P. F., Bellemain, E., Besnard, A., Coissac, E., Boyer, F., Gaboriaud, C., Jean, P., Poulet, N., Roset, N., Copp, G. H., Geniez, P., Pont, D., Argillier, C., Baudoin, J.-M., … Dejean, T. (2016). Next-generation monitoring of aquatic biodiversity using environmental DNA metabarcoding. Molecular Ecology, 25(4), 929–942. https://doi.org/10.1111/mec.13428

The Tree of Life eDNA metabarcoding reveals a similar taxonomic richness but dissimilar evolutionary lineages between seaports and marine reserves (teleo data)

This dataset is associated to the following publication: Macé, B., Mouillot, D., Dalongeville, A., Bruno, M., Deter, J., Varenne, A., Gudefin, A., Boissery, P., & Manel, S. (2024). The Tree of Life eDNA metabarcoding reveals a similar taxonomic richness but dissimilar evolutionary lineages between seaports and marine reserves. Molecular Ecology, e17373. <a href="https://doi.org/10.1111/mec.17373">https://doi.org/10.1111/mec.17373</a> It contains the data obtained with the teleo marker: <ul> <li>fastq files are the raw NGS eDNA sequencing outputs</li> <li>dat file records the adapters names and oligos used for sequencing</li> </ul> Metadata associated to each eDNA sample are also provided.   Methods <blockquote> eDNA extractions were performed in a BSL-2 lab dedicated for eDNA samples following the protocol described in Polanco Fernández et al. (2021). Four PCR amplifications were conducted with different assays covering the whole tree of life. The teleo primer pair (Valentini et al., 2016) targets a 12S mitochondrial DNA marker from teleosts and elasmobranchs; the metazoa primer pair (Kelly et al., 2016) targets a 16S mitochondrial DNA marker from metazoans; the euka2 primer pair (Guardiola et al., 2015) targets a marker from eukaryotes located on the V7 region of the 18S ribosomal RNA; and the bact2 primer pair (Taberlet et al., 2018) targets a marker from prokaryotes located on the V4 region of the 16S ribosomal RNA. The idea of this experimental design is to give a holistic overview of communities, with a nested hierarchy euka2-metazoa-teleo to obtain a finer taxonomic resolution over animal communities, and particularly fish. Twelve PCR replicates per sample were run, with negative extractions and PCR positive and negative controls analyzed in parallel. Unique tags were used for each PCR replicate amplified with the teleo primers only, allowing to differentiate them in the bioinformatic analysis (see after). NGS library preparation and MiSeq paired-end sequencing (2 × 150 bp) were performed at DNA Gensee (Le Bourget-du-Lac, France). </blockquote>   References Guardiola, M., Uriz, M. J., Taberlet, P., Coissac, E., Wangensteen, O. S., & Turon, X. (2015). Deep-Sea, Deep-Sequencing: Metabarcoding Extracellular DNA from Sediments of Marine Canyons. PLOS ONE, 10(10), e0139633. https://doi.org/10.1371/journal.pone.0139633 Kelly, R. P., O’Donnell, J. L., Lowell, N. C., Shelton, A. O., Samhouri, J. F., Hennessey, S. M., Feist, B. E., & Williams, G. D. (2016). Genetic signatures of ecological diversity along an urbanization gradient. PeerJ, 4, e2444. https://doi.org/10.7717/peerj.2444 Polanco Fernández, A., Marques, V., Fopp, F., Juhel, J.-B., Borrero-Pérez, G. H., Cheutin, M.-C., Dejean, T., González Corredor, J. D., Acosta-Chaparro, A., Hocdé, R., Eme, D., Maire, E., Spescha, M., Valentini, A., Manel, S., Mouillot, D., Albouy, C., & Pellissier, L. (2021). Comparing environmental DNA metabarcoding and underwater visual census to monitor tropical reef fishes. Environmental DNA, 3(1), 142–156. https://doi.org/10.1002/edn3.140 Taberlet, P., Bonin, A., Zinger, L., & Coissac, E. (2018). Environmental DNA: For Biodiversity Research and Monitoring. Oxford University Press. Valentini, A., Taberlet, P., Miaud, C., Civade, R., Herder, J., Thomsen, P. F., Bellemain, E., Besnard, A., Coissac, E., Boyer, F., Gaboriaud, C., Jean, P., Poulet, N., Roset, N., Copp, G. H., Geniez, P., Pont, D., Argillier, C., Baudoin, J.-M., … Dejean, T. (2016). Next-generation monitoring of aquatic biodiversity using environmental DNA metabarcoding. Molecular Ecology, 25(4), 929–942. https://doi.org/10.1111/mec.13428

opencc-by-4.0Feb 2024View details →

Love thy neighbour? Tropical tree growth and its response to climate anomalies is mediated by neighbourhood hierarchy and dissimilarity in carbon and water related traits

<div> <div>Data and R code to reproduce all analyses, figures and tables for Krebber et al. 2024, Ecology Letters: Love thy neighbour? Tropical tree growth and its response to climate anomalies is mediated by neighbourhood hierarchy and dissimilarity in carbon and water related traits. </div> <div> </div> <div>All analyses have been conducted and produced in the R environment (R version 4.1.2; R Core Team, 2021; RStudio Team, 2020). Bayesian hierarchical models have been run using the R package brms (Version 2.19.0; Bürkner, 2017). The data and R files containing the code to reproduce the results, figures and tables are described in the README file and code in more detailed is described in RCode_xxx files. Please note that the analyses are highly computational intensive and the scripts should be run on a high performance cluster (models and scripts running models and handeling model outputs presented here have been run with 16 cpus and with 50 - 100 GB of RAM). Packages needed are loaded at the beginning of each script. Please ensure that these and all their dependencies have been previously installed. The R code in the files has been carefully commented.</div> </div>

opencc-by-4.0Jan 2022View details →

Dataset for paper entitled 'Microstructure transition gradients in titanium dissimilar alloy (Ti-5Al-5V-5Mo-3Cr/Ti-6Al-4V) tailored wire-arc additively manufactured components'

Dataset for paper entitled 'Microstructure transition gradients in titanium dissimilar alloy (Ti-5Al-5V-5Mo-3Cr/Ti-6Al-4V) tailored wire-arc additively manufactured components'. doi: <a href="https://doi.org/10.1016/j.matchar.2021.111577">https://doi.org/10.1016/j.matchar.2021.111577</a>

opencc-zeroMar 2022View details →

Data from: Trait hierarchies are stronger than trait dissimilarities in structuring spatial co-occurrence patterns of common tree species in a subtropical forest

1. The dissimilarity and hierarchy of trait values that characterize niche and fitness differences, respectively, have been increasingly applied to infer mechanisms driving community assembly and to explain species co-occurrence patterns. Here, we predict that limiting similarity should result in the spatial segregation of functionally similar species, while functionally similar species will be more likely to co-occur either due to environmental filtering or competitive exclusion of inferior competitors (hereafter hierarchical competition). 2. We used a fully mapped 50-ha subtropical forest plot in southern China to explore how pairwise spatial associations between saplings and between adult trees were influenced by trait dissimilarity and hierarchy in order to gain insight into assembly mechanisms. We assessed pairwise spatial associations using two summary statistics of spatial point patterns at different spatial scales and compared the effects of trait dissimilarity and trait hierarchy of different functional traits on the interspecific spatial associations. These comparisons allow us to disentangle the effects of limiting similarity, environmental filtering and hierarchical competition on species co-occurrence. 3. We found that trait dissimilarity was generally negatively related with interspecific spatial associations for both saplings and adult trees across spatial scales, meaning that species with similar trait values were more likely to co-occur and thus supporting environmental filtering or hierarchical competition. We further found that trait hierarchy outweighed trait dissimilarity in structuring pairwise spatial associations, suggesting that hierarchical competition played a more important role in structuring our forest community than environmental filtering across life stages. 4. This study employed a novel method, by offering the integration of pairwise spatial association and trait dissimilarity as well as trait hierarchy, to disentangle the relative importance of multiple assembly mechanisms in structuring co-occurrence patterns, especially the mechanisms of environmental filtering and hierarchical competition, which lead to indistinguishable co-occurrence patterns. This study also reinforced the importance of trait hierarchy rather than trait dissimilarity in driving neighborhood competition.

opencc-zeroMay 2022View details →

Overyielding is accounted for partly by plasticity and dissimilarity of crop root traits in maize/legume intercropping systems

Positive biodiversity-productivity relationships have been found in biodiversity field experiments of grassland, forestry, and other natural terrestrial ecosystems, where diversity effects were separated by complementarity (CE) and selection effects (SE). However, we know little about how CE and SE are related to root traits and root dissimilarity. A four-year field experiment was carried out with a split-plot design, where main plot was four nitrogen (N) applications (N0, N1, N2, N3) and five cropping systems (maize (Zea mays L.)/soybean (Glycine max L. Merrill.), maize/peanut (Arachis hypogaea L.) intercropped and the corresponding monocultures) with three replicates. Roots were sampled in the N0 and N2 treatments in two years. Intercropping effects were analyzed based on grain yield for four years and roots were sampled down to 60 cm depth, and analyzed with morphological parameters at different crop growth stages in two years. Intercropping significantly increased grain yield and aboveground biomass in both intercropping systems under all N treatments. The partitioning of the net intercropping effects showed that yield advantage in intercropping was due to a positive CE under the N0 treatment, and to a positive SE with N application. Maize showed greater root morphological plasticity than the legumes did, with greater changes in root length density (RLD), root weight density (RWD) and total root surface (TS) in intercropping than in monoculture. Intercropped maize occupied a larger soil space, while lateral RLD distribution of legumes was decreased by maize. The RLD, RWD, and TS of intercropped maize were constant or increased in later growth stages. SE showed a significantly positive relationship with root dissimilarity. Principal component analysis showed mean root depth and specific root length of legumes drove the positive CE in the absence of N fertilization. Root dissimilarity determined by maize explained the selection effects in overyielding. Complementarity effects under N0 were closely associated with specific root traits such as mean root depth and specific root length. Linking changes of root traits with intercropping effects aboveground helps understand yield advantages in diverse agroecosystem. In general, a cereal species with strong phenotypic plasticity intercropped with a legume species with strong physiological plasticity can maximize the yield advantage of intercropping.

opencc-zeroJun 2022View details →

Functionally dissimilar neighbors improve tree water use efficiency through increases in leaf phosphorus concentration

Water use efficiency (WUE) is central to the global cycles of water and carbon. However, whether increasing tree diversity in plantation can increase WUE remain poorly understood. Here, we conduct a forest biodiversity experiment with 32 tree species spread in 14 ha in subtropical China to assess the effects of neighboring tree diversity on foliar WUE of Cunninghamia lanceolata, a widespread tree plantation species in China. We measure foliar δ13C as the proxies of changes in intrinsic WUE. Folia P concentrations of focal trees increase with trait dissimilarities between focal trees and neighbors, and the increased foliar P concentrations improve foliar WUE of focal trees. This neighborhood complementarity effect on WUE is stronger under more shaded neighborhood. However, neighborhood biodiversity did not significantly affect foliar δ18O, a surrogate for stomatal conductance. These findings suggest that tree biodiversity increases WUE through the complementary usages of soil P between neighboring tree species.

opencc-zeroJul 2022View details →

Meta-analysis of elevational changes in the intensity of trophic interactions: similarities and dissimilarities with latitudinal patterns

The premise that the intensity of biotic interactions decreases with increasing latitudes and elevations is broadly accepted; however, whether these geographical patterns can be explained within a common theoretical framework remains unclear. Our goal was to identify the general pattern of elevational changes in trophic interactions and to explore the sources of variation among the outcomes of individual studies. Meta-analysis of 226 effect sizes calculated from 136 publications demonstrated a significant but interaction-specific decrease in the intensity of herbivory, carnivory and parasitism with increasing elevation. Nevertheless, this decrease was not significant at high latitudes and for interactions involving endothermic organisms, for herbivore outbreaks or for herbivores living within plant tissues. Herbivory similarly declined with increases in latitude and elevation, whereas carnivory showed a fivefold stronger decrease with elevation than with latitude and parasitism increased with latitude but decreased with elevation. Thus, although these gradients share a general pattern and several sources of variation in trophic interaction intensity, we discovered important dissimilarities, indicating that elevational and latitudinal changes in these interactions are partly driven by different factors. We conclude that the scope of the latitudinal biotic interaction hypothesis cannot be extended to incorporate elevational gradients.

opencc-by-4.0Jul 2024View details →

Role of laser wobbling welding parameters in dissimilar welding of aluminum and copper alloys: general preliminary process window.

This database explores a wide range of process parameters concerning laser welding of aluminum and copper 0.3 mm thick foils in lap configuration. In particular, this application involves wobbling technique as a dynamic beam shaping for enhancing the formation of a correct interface width in this kind of welding. Given different values of laser power, wobbling tangential speed and wobbling diameter, the results are expressed in terms of weld bead width at the face of the weld bead, weld bead width at the interface between the two sheets and bead penetration depth in the lower sheet. Some trials gave an excessive penetration so that the specimen was cut in two separate parts after the process. This specific type of dissimilar welding is useful for enhancing "hybrid" characteristics of components, where a trade-off between mechanical and electrical or thermal characteristics is needed.

opencc-by-4.0Dec 2023View details →

Dissimilarity-adaptive cross-validation experiments and datasets

This data includes all datasets and codes for implementing dissimilarity-adaptive cross-validation experiments, datasets and code, Reademe.txt explains each file's meaning. Appendix includes the descriptions of datasets.