Find research datasets worth reusing
Search datasets from major research repositories and use ShareScore to quickly assess how well each record supports discovery, access, and reuse.
103
datasets available to search
ShareScore release 0.9.0
Dataset results
103 results for “bootstrap”
Bootstrapped Lexicon of German Verbal Polarity Shifters
<p>We provide a bootstrapped lexicon of German verbal polarity shifters. Our lexicon covers 2595 verbs of GermaNet. Polarity shifter labels are given for each word lemma. All labels were assigned by an expert annotator who is a native speaker of German.</p> <p><strong>Data</strong></p> <p>The data consists of two lists of GermaNet verbs annotated for whether they cause shifting:</p> <ol> <li><code>verbal_shifters.gold_standard.txt</code>: The initial gold standard (§3) of 2000 randomly sampled verbs.</li> <li><code>verbal_shifters.bootstrapping.txt</code>: The bootstrapped 595 verbs (§5.3) that were labelled as shifters by our best classifier and then manually annotated.</li> </ol> <p><strong>Format</strong></p> <p>Each line contains a verb and its label, separate by a whitespace.</p> <p><strong>Attribution</strong></p> <p>This dataset was created as part of the following publication:</p> <p>Marc Schulder, Michael Wiegand, Josef Ruppenhofer (2018). <strong>"Automatically Creating a Lexicon of Verbal Polarity Shifters: Mono- and Cross-lingual Methods for German"</strong>. <em>Proceedings of the 27th International Conference on Computational Linguistics (COLING 2018)</em>. Santa Fe, New Mexico, USA, August 20 - August 26, 2018. <a href="https://doi.org/10.5281/zenodo.3365694">DOI: 10.5281/zenodo.3365694</a>.</p> <p>If you use the data in your research or work, please cite the publication.</p>
Bootstrapped Lexicon of English Verbal Polarity Shifters
<blockquote> <p>An extended version of this dataset that also covers nominal and adjectival polarity shifters can be found at <a href="https://doi.org/10.5281/zenodo.3365601">doi:10.5281/zenodo.3365601</a>.</p> </blockquote> <p> </p> <p>We provide a bootstrapped lexicon of English verbal polarity shifters. Our lexicon covers 3043 verbs of WordNet v3.1 (Miller et al., 1990) that are single word or particle verbs. Polarity shifter labels are given for each word lemma.</p> <p><strong>Data</strong></p> <p>The data consists of:</p> <ol> <li>Two lists of WordNet verbs (Miller et al., 1990), annotated for whether they cause shifting. <ol> <li>The initial gold standard (§2) of 2000 randomly chosen verbs.</li> <li>The bootstrapped 1043 verbs (§5.3) that were labelled as shifters by our best classifier and then manually annotated.</li> </ol> </li> <li>Data set of verb phrases from the Amazon Product Review Data corpus (Jindal & Liu, 2008), annotated for polarity of phrase and polar noun.</li> </ol> <p> </p> <p><strong>1. Verbal Shifters</strong></p> <p><strong>Files</strong></p> <ul> <li>The initial gold standard: <code>verbal_shifters.gold_standard.txt</code></li> <li>The bootstrapped verbs: <code>verbal_shifters.bootstrapping.txt</code></li> </ul> <p><strong>Format</strong></p> <ul> <li>Each line contains a verb and its label, separate by a whitespace.</li> <li>Multiword expressions are separated by an underscore (WORD_WORD).</li> <li>All labels were assigned by an expert annotator.</li> </ul> <p> </p> <p><strong>2. Sentiment Verb Phrases</strong></p> <p><strong>Files</strong></p> <ul> <li>All annotated verb phrases: <code>sentiment_phrases.txt</code></li> </ul> <p><strong>Content</strong></p> <p>The file starts with 400 phrases containing shifter verbs, followed by 2231 phrases containing non-shifter verbs.</p> <p><strong>Format</strong></p> <p>Every item consists of:</p> <ul> <li>The sentence from which the VP and the polar noun were extracted.</li> <li>The VP, polar noun and the verb heading the VP.</li> <li>Constituency parse for the VP.</li> <li>Gold labels for VP and polar noun by a human annotator.</li> <li>Predicted labels for VP and polar noun by RNTN tagger (Socher et al., 2013) and <code>LEX_gold</code> approach.</li> <li>Items are separated by a line of asterisks (*)</li> </ul> <p><strong>Related Resources</strong></p> <ul> <li><strong>Paper:</strong> <a href="https://aclweb.org/anthology/I17-1063">ACL Anthology</a> or <a href="https://doi.org/10.5281/zenodo.3365609">DOI: 10.5281/zenodo.3365609</a></li> <li><strong>Presentation:</strong> <a href="https://www.aclweb.org/anthology/attachments/I17-1063.Presentation.pdf">ACL Anthology</a></li> <li><strong>Word Embedding:</strong> <a href="https://doi.org/10.5281/zenodo.3370051">DOI: 10.5281/zenodo.3370051</a></li> </ul> <p><strong>Attribution</strong></p> <p>This dataset was created as part of the following publication:</p> <p>Marc Schulder, Michael Wiegand, Josef Ruppenhofer and Benjamin Roth (2017). <strong>"Towards Bootstrapping a Polarity Shifter Lexicon using Linguistic Features"</strong>. Proceedings of the 8th International Joint Conference on Natural Language Processing (IJCNLP). Taipei, Taiwan, November 27 - December 3, 2017. <a href="https://doi.org/10.5281/zenodo.3365609">DOI: 10.5281/zenodo.3365609</a>.</p> <p>If you use the data in your research or work, please cite the publication.</p> <p> </p>
HUMANE Wikipedia simulation modelling bootstrapping data
<p>This data set has been derived from the Simple English Wikipedia data publicly available and post-processed in the WikiWarMonitor project. The data set this is derived from is available from: http://wwm.phy.bme.hu/light.html</p> <p>The data set comprises a collection of 15 CSV files with summary statistics of the contributors to Wikipedia (Simple English only) in the period of 18/05/2001 to 17/10/2012. The files cover:</p> <ul> <li>Statistics of registered users, anonymous users and bots.</li> <li>History of revert activity</li> <li>History of edit wars</li> <li>Activity statistics broken down into weekly snapshots</li> </ul> <p>Each CSV file has a descriptive header that is generally self-explanatory, so the data is not further described here. However, note that in the activity_snapshots_aggregated.csv file, the edit war conditions are as follows:</p> <ul> <li>Condition 1: ongoing (started before the snapshot and continues)</li> <li>Condition 2: started and finished within the snapshot</li> <li>Condition 3: started within the snapshot, but did not finish yet</li> <li>Condition 4: started before the snapshot, but finished within the snapshot</li> </ul>
Dataset for the bootstrapped data
<p>bootstrapped_LFP.mat file contains the raw dataset for the bootstrapped data for LFP.</p> <p>boostrapped euclidean distance - neural trajectories.mat file contains the bootstrapped data for euclidean distance for different subpopulations (positively, negatively or not modulated neurons).</p> <p> </p>
EMNLP-23-Bootstrapping-a-Violence-Detector-for-Fan-Fiction
<p>Data for the paper `Trigger Warnings: Bootstrapping a Violence Detector for Fan Fiction`. </p><p><strong>Code</strong>: https://github.com/webis-de/emnlp23-bootstrapping-a-violence-detector-for-fan-fiction</p><p><strong>Publication</strong>: tbd. </p><p><strong>Citation</strong>: https://webis.de/publications.html?q=wolska_2023</p><p> </p>
Figure 5. Bootstrap 50 in A new molluscivore crab from Lake Poso confirms multiple colonization of ancient lakes in Sulawesi by freshwater crabs (Decapoda: Brachyura)
Figure 5. Bootstrap 50% majority rule consensus tree of phylogenetic relationships within freshwater crabs from Sulawesi, with two species from Thailand used as outgroups, based on maximum parsimony (MP), minimum evolution (ME) and Bayesian inference (BI) (last two with the GTR+I+G model of evolution) topologies. Confidence values from 2000 bootstrap pseudoreplicates (MP/ME) or 2 000 000 generations (BI) based on 562 base pairs of the 16S mitochondrial gene in the order MP/ME/BI; only values above 50% confidence are shown. Abbreviations: Mah, Lake Mahalona; Mat, Lake Matano; Tow, Lake Towuti.
FI GU R E 3 Maximum likelihood phylogenetic tree of the Hyalospheniformes with a focus on Apodera, Alocodera, and Padaungiella based on COI gene sequences. Bootstrap values (bs) and Bayesian posterior probabilities (p.p.) are indicated respectively between branches. COI sequences from genera other than Apodera were retrieved from GenBank in Superficially described and ignored for 92 years, rediscovered and emended: Apodera angatakere (Amoebozoa: Arcellinida: Hyalospheniformes) is a new flagship testate amoeba taxon from Aotearoa (New Zealand)
FI GU R E 3 Maximum likelihood phylogenetic tree of the Hyalospheniformes with a focus on Apodera, Alocodera, and Padaungiella based on COI gene sequences. Bootstrap values (bs) and Bayesian posterior probabilities (p.p.) are indicated respectively between branches. COI sequences from genera other than Apodera were retrieved from GenBank
Supplementary Data: UFBoot2: Improving the Ultrafast Bootstrap Approximation
<p>Supplementary Data<br> UFBoot2: Improving the Ultrafast Bootstrap Approximation<br> doi: https://doi.org/10.1101/153916<br> http://www.biorxiv.org/content/early/2017/06/22/153916</p> <p>This record contains PANDIT based dataset and TreeBASE dataset (Nguyen et al. 2015) which are analyzed by different bootstrap methods in the study "UFBoot2: Improving the Ultrafast Bootstrap Approximation". The PANDIT based dataset (compressed in file data_pandit.tar.gz) is used to benchmark the accuracy of bootstrap estimates. The TreeBASE dataset (compressed in file data_treebase.tar.gz) is used to benchmark runtimes. </p> <p>After being uncompressed, the PANDIT based dataset comprises:</p> <ul> <li>5,690 numbered directories corresponding to 5,690 DNA MSAs simulated by Seq-Gen (Rambaut and Grass 1997), where the model parameters and true tree were inferred from the original MSAs downloaded from the PANDIT database (Whelan et al. 2006). Note that the numbering of these directories is not consecutive because we kept only MSAs that can be tested under the mild and severe model violations as defined in the UFBoot paper (Minh et al. 2013).</li> <li>In each numbered directory N, there are three files: (1) data.N contains the simulated MSA in PHYLIP format; (2) model.N contains the best-fit model detected from the corresponding original MSA; (3) tree.N contains the tree (in Newick format) inferred from the corresponding original MSA. tree.N and model.N are used by Seq-Gen to simulate the MSA in data.N.</li> </ul> <p>After being uncompressed, the TreeBASE dataset comprises 115 files corresponding to 115 MSAs. There are:</p> <ul> <li>70 DNA MSAs in PHYLIP format. These files follow the naming scheme dna_[number of sequences]_[number of sites].phy.</li> <li>45 protein MSAs in PHYLIP format. These files follow the naming scheme prot_[number of sequences]_[number of sites].phy.</li> </ul>
Рис. 1. Calyptra thalictri: 1 — Calyptra thalictri alexander ssp. n., гоΛотип; 2 — Calyptra thalictri alexander ssp. n., паратип; 3 — кΛаΑограмма Calyptra thalictri. Построена метоΑом максимаΛьного схоΑства, параметрическая моΑеΛь Тамура-Неи, 10 000 бутстрапрепΛикаций; 4 — биотоп Calyptra thalictri alexander ssp. n. Fig. 1. Calyptra thalictri: 1 — Calyptra thalictri alexander ssp. n., holotype; 2 — Calyptra thalictri alexander ssp. n., paratype; 3 — cladogram of Calyptra thalictri. Based on the maximum likelihood method, Tamura-Nei parametrical model, 10000 bootstrap replications; 4 — biotope of Calyptra thalictri alexander ssp. n. in A New Subspecies Of (Borkhausen, 1790) (Lepidoptera: Erebidae, Calpinae) From Kyrgyzstan
Рис. 1. Calyptra thalictri: 1 — Calyptra thalictri alexander ssp. n., гоΛотип; 2 — Calyptra thalictri alexander ssp. n., паратип; 3 — кΛаΑограмма Calyptra thalictri. Построена метоΑом максимаΛьного схоΑства, параметрическая моΑеΛь Тамура-Неи, 10 000 бутстрапрепΛикаций; 4 — биотоп Calyptra thalictri alexander ssp. n. Fig. 1. Calyptra thalictri: 1 — Calyptra thalictri alexander ssp. n., holotype; 2 — Calyptra thalictri alexander ssp. n., paratype; 3 — cladogram of Calyptra thalictri. Based on the maximum likelihood method, Tamura-Nei parametrical model, 10000 bootstrap replications; 4 — biotope of Calyptra thalictri alexander ssp. n.
Fig. 3. Majority with bootstrap support consensus trees for 12S in MITOCHONDRIAL 16S AND 12S rRNA SEQUENCE ANALYSIS IN FOUR SALMONID SPECIES FROM ROMANIA
Fig. 3. Majority with bootstrap support consensus trees for 12S rRNA. (a) 12S rRNA Maximum Parsimony tree; (b) 12S rRNA Neighbor Joining tree, distance model Kimura 2 Parameters, transi-
Fig. 2. Majority with bootstrap support consensus trees for 16S in MITOCHONDRIAL 16S AND 12S rRNA SEQUENCE ANALYSIS IN FOUR SALMONID SPECIES FROM ROMANIA
Fig. 2. Majority with bootstrap support consensus trees for 16S rRNA. (a) 16S rRNA Neighbor Joining tree, distance model Kimura 2 Parameters, transition/transversion ratio 2.3; (b) 16S rRNA Maximum Parsimony tree; (c) 16S rRNA Maximum Likelihood tree
Fig. 5. Maximum Likelihood tree for genus Thyridium with RPB2 dataset. Node numbers indicate bootstrap value above 70 in First report of seven unrecorded bambusicolous fungi in Korea
Fig. 5. Maximum Likelihood tree for genus Thyridium with RPB2 dataset. Node numbers indicate bootstrap value above 70%. Blue colored names indicate the strains isolated in this study. Type strains are indicated by "T".
Fig. 3. Maximum Likelihood tree for genus Macroconia with ITS dataset. Node numbers indicate bootstrap value above 70 in First report of seven unrecorded bambusicolous fungi in Korea
Fig. 3. Maximum Likelihood tree for genus Macroconia with ITS dataset. Node numbers indicate bootstrap value above 70%. Blue colored names indicate the strains isolated in this study. Type strains are indicated by "T".
◂Fig. 6 A molecular phylogeny of 56 systematically representative Peridiniaceae, including 42 accessions assignable to P. cinctum from various geographic regions. Maximum likelihood tree (– ln = 21,884.93), as inferred from a rRNA nucleotide alignment (1137 parsimony-informative sites) and with strain number information. Numbers on branches are ML bootstrap (above) and Bayesian support values (below) for the clusters (asterisks indicate maximal support values, values under 50 and 0.90, respectively, are not shown). Clades are indicated (CZE Czech Republic, E East, GER Germany, HET Heterocapsaceae, N North, PPE Protoperidiniaceae, POL Poland, rbn ribotype n, S South, SWE Sweden, UKR Ukraine, W West) in Bumps on the back: An unusual morphology in phylogenetically distinct Peridinium aff. cinctum (= Peridinium tuberosum; Peridiniales, Dinophyceae)
◂Fig. 6 A molecular phylogeny of 56 systematically representative Peridiniaceae, including 42 accessions assignable to P. cinctum from various geographic regions. Maximum likelihood tree (– ln = 21,884.93), as inferred from a rRNA nucleotide alignment (1137 parsimony-informative sites) and with strain number information. Numbers on branches are ML bootstrap (above) and Bayesian support values (below) for the clusters (asterisks indicate maximal support values, values under 50 and 0.90, respectively, are not shown). Clades are indicated (CZE Czech Republic, E East, GER Germany, HET Heterocapsaceae, N North, PPE Protoperidiniaceae, POL Poland, rbn ribotype n, S South, SWE Sweden, UKR Ukraine, W West)
◂Fig. 4 A molecular tree of 51 systematically representative Peridiniaceae, including all 28 accessions assignable to P. volzii. Maximum Likelihood tree (–ln = 22,017.62), as inferred from a rRNA nucleotide alignment (1,129 parsimony-informative sites) and with strain number information. Numbers on branches are ML bootstrap (above) and Bayesian support values (below) for the clusters (asterisks indicate maximal support values, values under 50 and 0.90, respectively, are not shown). Clades are indicated (abbreviations: HET, Heterocapsaceae; PPE, Protoperidiniaceae) in Morphological and molecular variability of Peridinium volzii Lemmerm. (Peridiniaceae, Dinophyceae) and its relevance for infraspecific taxonomy
◂Fig. 4 A molecular tree of 51 systematically representative Peridiniaceae, including all 28 accessions assignable to P. volzii. Maximum Likelihood tree (–ln = 22,017.62), as inferred from a rRNA nucleotide alignment (1,129 parsimony-informative sites) and with strain number information. Numbers on branches are ML bootstrap (above) and Bayesian support values (below) for the clusters (asterisks indicate maximal support values, values under 50 and 0.90, respectively, are not shown). Clades are indicated (abbreviations: HET, Heterocapsaceae; PPE, Protoperidiniaceae)
Рис. 1. ФиΛогенетические Αеревья хантавируса AMRV и его прироΑного носитеΛя восточноазиатской мыши Apodemus peninsulae Thomas, 1906. А. ФиΛогенетическое Αерево восточноазиатской мыши Apodemus peninsulae, построенное метоΑом «максимаΛьного правΑопоΑобия» (ML) и поΛученное на основе анаΛиза участка гена цитохрома b мтΔНК (744 п.н.). В узΛах ветвΛения указаны бутстреп-поΑΑержки, рассчитанные ΑΛя 1000 повторов. Цветными Λиниями обозначены фиΛогенетические Λинии: Αве Китайские (зеΛеный), Корейская «Korea» (синий), Амурская «Amur» (красный). ПоΛужирным шрифтом выΑеΛены собственные образцы. Названия образцов из GenBank/NCBI быΛи сокращены; B. ФиΛогенетическое Αерево из работы Α. Н. Яшиной с ΑопоΛнениями, построенное метоΑом «бΛижайшего сосеΑа» (NJ) на основе посΛеΑоватеΛьностей фрагмента М-сегмента (2737–2980 н.п.) генома хантавирусов. В узΛах ветвΛения указаны бутстреппоΑΑержки, рассчитанные ΑΛя 1000 повторов. Жирным выΑеΛены иссΛеΑованные РНК изоΛяты (Яшина 2012; Яшина и Αр. 2019) Fig. 1. Phylogenetic trees of AMRV and its natural reservoir host — the Korean field mouse Apodemus peninsulae Thomas, 1906. A. Phylogenetic tree of the Korean field mouse Apodemus peninsulae constructed by the "maximum likelihood" method (ML). The data are obtained from the analysis of the cytochrome b mtDNA gene fragments (744 bp). Bootstrap supports calculated for 1,000 repeats are indicated in the branching nodes. Colored lines indicate phylogenetic lines: two Chinese (green), Korea (blue), and Amur (red). Own samples are highlighted in bold. The names of the samples from GenBank/NCBI have been shortened; B. Phylogenetic tree from L. N. Yashina's work with additions constructed by the neighbour joining method (NJ). It is based on the sequences of an M-segment fragment (2737–2980 bp) of the hantavirus genome. Bootstrap supports calculated for 1,000 repeats are indicated in the branching nodes. The researched RNA isolates are highlighted in bold (Yashina 2012; Yashina et al. 2019) in Variability of the gene cyt b in the Korean field mouse Apodemus peninsulae Thomas, 1906 - a reservoir host of AMRV in the Khasansky District of Primorsky Krai
Рис. 1. ФиΛогенетические Αеревья хантавируса AMRV и его прироΑного носитеΛя восточноазиатской мыши Apodemus peninsulae Thomas, 1906. А. ФиΛогенетическое Αерево восточноазиатской мыши Apodemus peninsulae, построенное метоΑом «максимаΛьного правΑопоΑобия» (ML) и поΛученное на основе анаΛиза участка гена цитохрома b мтΔНК (744 п.н.). В узΛах ветвΛения указаны бутстреп-поΑΑержки, рассчитанные ΑΛя 1000 повторов. Цветными Λиниями обозначены фиΛогенетические Λинии: Αве Китайские (зеΛеный), Корейская «Korea» (синий), Амурская «Amur» (красный). ПоΛужирным шрифтом выΑеΛены собственные образцы. Названия образцов из GenBank/NCBI быΛи сокращены; B. ФиΛогенетическое Αерево из работы Α. Н. Яшиной с ΑопоΛнениями, построенное метоΑом «бΛижайшего сосеΑа» (NJ) на основе посΛеΑоватеΛьностей фрагмента М-сегмента (2737–2980 н.п.) генома хантавирусов. В узΛах ветвΛения указаны бутстреппоΑΑержки, рассчитанные ΑΛя 1000 повторов. Жирным выΑеΛены иссΛеΑованные РНК изоΛяты (Яшина 2012; Яшина и Αр. 2019) Fig. 1. Phylogenetic trees of AMRV and its natural reservoir host — the Korean field mouse Apodemus peninsulae Thomas, 1906. A. Phylogenetic tree of the Korean field mouse Apodemus peninsulae constructed by the "maximum likelihood" method (ML). The data are obtained from the analysis of the cytochrome b mtDNA gene fragments (744 bp). Bootstrap supports calculated for 1,000 repeats are indicated in the branching nodes. Colored lines indicate phylogenetic lines: two Chinese (green), Korea (blue), and Amur (red). Own samples are highlighted in bold. The names of the samples from GenBank/NCBI have been shortened; B. Phylogenetic tree from L. N. Yashina's work with additions constructed by the neighbour joining method (NJ). It is based on the sequences of an M-segment fragment (2737–2980 bp) of the hantavirus genome. Bootstrap supports calculated for 1,000 repeats are indicated in the branching nodes. The researched RNA isolates are highlighted in bold (Yashina 2012; Yashina et al. 2019)
Figure. Observed (S obs) and estimated species richness for Chao 2, Jackknife 2, and Bootstrap, calculated for Lumbricidae in East Serbia. Vertical dashed lines represent 50%, 75%, and 100% of the sampling effort, respectively. in A nonparametric approach in quantifying species richness of Lumbricidae in East Serbia, Balkan Peninsula
Figure. Observed (S obs) and estimated species richness for Chao 2, Jackknife 2, and Bootstrap, calculated for Lumbricidae in East Serbia. Vertical dashed lines represent 50%, 75%, and 100% of the sampling effort, respectively.
Fig. 134. Bootstrap 50 in Mammals Of The Rio Juruá And The Evolutionary And Ecological Diversification Of Amazonia
Fig. 134. Bootstrap 50% majorityrule consensus minimumlength parsimony tree for cytochromeb haplotypes (798 bp) for the eight species of Proechimys from the Rio Jurua´. The tree is based on a weighted analysis that discounted thirdposition transitions (see text for explanation). The terminal triangles encompass the individual haplotypes of each species included in the analysis, the number of which is indicated within each triangle. The tree is rooted by comparison to Isothrix, Makalata, and Mesomys. Length = 351 steps, CI = 0.721, RI = 0.779. Bold numbers at internal nodes are bootstrap values, based on 1000 replicates; percentages are average Kimura twoparameter distances.
Text-fig. 3. Phylogenetic relationship of Peignecyon felinoides n. gen. et n. sp., within some selected Amphicyonidae, and some extinct caniform carnivorans. Paramiacis exilis is the outgroup. Searches were performed by means of the Branch and Bound and a Bootstrap analysis through 1,000 replicates. One tree is obtained (length 73 steps, consistency index (CI) = 0.6301, retention index (RI) = 0.7000). The numbers below nodes are Bremer indices, and the numbers above nodes are Bootstrap support percentages (only shown ≥ 50). in A New Thaumastocyoninae (Amphicyonidae, Carnivora) From The Early Miocene Of Tuchořice, The Czech Republic
Text-fig. 3. Phylogenetic relationship of Peignecyon felinoides n. gen. et n. sp., within some selected Amphicyonidae, and some extinct caniform carnivorans. Paramiacis exilis is the outgroup. Searches were performed by means of the Branch and Bound and a Bootstrap analysis through 1,000 replicates. One tree is obtained (length 73 steps, consistency index (CI) = 0.6301, retention index (RI) = 0.7000). The numbers below nodes are Bremer indices, and the numbers above nodes are Bootstrap support percentages (only shown ≥ 50).
Figure 11. Maximum likelihood phylogram. Bootstrap values greater than 50 in Evolution of cave living in Hawaiian Schrankia (Lepidoptera: Noctuidae) with description of a remarkable new cave species
Figure 11. Maximum likelihood phylogram. Bootstrap values greater than 50% are illustrated on tree as first value; Bayesian posterior probabilities are the second value. Values <50 are not labelled. Colours represent islands (black is Hawaii Island; red is Maui, blue is Oahu; green is Kauai). Asterisks denote flightless individuals. Black circles represent dark-zone morph Schrankia howarthi; grey circles represent twilight-zone individuals. Locality information for individual moths may be found in the Appendix.
ScienceDex guides
Understand access before you commit
These curated guides explain access requirements, typical timelines, costs, and reuse considerations for widely used research datasets.
Allen Brain Atlas
Allen Brain Atlas is an Allen Institute collection of brain map atlases, datasets, APIs, and analysis tools covering mouse, human, and non-human primate brain resources.
Annotated Behaviour and Observability Dataset (ABODe)
ABODe is a University of Edinburgh DataShare dataset for behavior classification in group-housed mice using home-cage video, identities, bounding boxes, ground-plate positions, and annotator labels.
DANDI Archive for NWB datasets
DANDI is a BRAIN Initiative archive for publishing and sharing neurophysiology data, including electrophysiology, optophysiology, and behavioral data packaged as NWB and related standards.
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.
OpenNeuro
OpenNeuro is a free, open platform for sharing neuroimaging datasets, with public search, dataset pages, and download paths for web, S3, DataLad, and the OpenNeuro CLI.