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Supporting Information for Accelerating Combustion Mechanism Discovery with Automated Uncertainty, Sensitivity, Thermodynamics, and Kinetics Calculations
<p>Supplementary material to accompany the manuscript "Accelerating Combustion Mechanism Discovery with Automated Uncertainty, Sensitivity, Thermodynamics, and Kinetics Calculations" by Sevy Harris and Richard H West.</p> <ul> <li>The software (mostly Python scripts) is in autoscience_workflow.zip. </li> <li>DFT results (Gaussian log files, Arkane input files, Arkane output files) for all species and reactions are in dft.zip</li> <li>RMG-built detailed kinetic models are in mechanisms.zip </li> <li>Additional plots and results (as described in the manuscript) are in supporting_information.pdf</li> </ul>
Supporting dataset to "Understanding ladybird beetle diversity in native and hu-man-modified landscapes in the San Cristóbal Island, Gala-pagos Archipelago, Ecuador"
<p>Supporting dataset to the paper Peñaherrera-Romero E, Guerrero-Campoverde A, Rueda-Rodríguez MP, Dávila-Játiva M, Die-Morejón D, Domínguez-Trujillo M, Guerrero-Molina T, Vélez-Darquea E, Cisneros-Heredia DF. (2024) Ladybird Beetle Diversity in Natural and Human-Modified Habitats in the San Cristóbal Island, Galapagos, Ecuador. <em>Insects</em> 15(9):725. <a href="https://doi.org/10.3390/insects15090725">https://doi.org/10.3390/insects15090725</a></p>
Modeling of Greenland Peripheral Glaciers - Supporting data
<p>This data is related to section 4.9 (Figure 12) in the "Kanzow, T., Humbert, A., Mölg, T., Scheinert, M., Braun, M., Burchard, H., Doglioni, F., Hochreuther, P., Horwath, M., Huhn, O., Kusche, J., Loebel, E., Lutz, K., Marzeion, B., McPherson, R., Mohammadi-Aragh, M., Möller, M., Pickler, C., Reinert, M., Rhein, M., Rückamp, M., Schaffer, J., Shafeeque, M., Stolzenberger, S., Timmermann, R., Turton, J., Wekerle, C., and Zeising, O.: The atmosphere-land/ice-ocean system in the region near the 79N Glacier in Northeast Greenland: Synthesis and key findings from GROCE, EGUsphere [preprint], https://doi.org/10.5194/egusphere-2024-757, 2024."</p>
Supporting data and code for: Myzus persicae resistance to neonicotinoids - unravelling the contribution of different mechanisms to phenotype
<p>This is the first release of the final data and code for the article accepted for publication in <em>Pest Management Science</em> journal. It contains the necessary scripts to produce most of the analyses and figures of the manuscript. All the necessary data can be found in the 'data' folder.</p>
Supporting materials for experimental paper on Slovenian agentive unaccusatives
<p>This dataset consists of three TSV documents consisting of the results of a judgement elicitation task carried out in 2023. There were 57 survey participants rating 32 sentences containing Slovenian reflexive impersonal constructions on a scale from 1 (completely unacceptable) to 4 (completely acceptable). The document "raw.tsv" consists of the unfiltered results; the document "filtered.tsv" consists of the results post-filtering; the document "collated.tsv" consists of the collated results that were analysed in the paper.</p>
Supporting data for RCANE: A Deep Learning Algorithm for Whole-genome Pan-Cancer Somatic Copy Number Aberration Prediction using RNA-seq Data.
<p>This is the data repository for <em>RCANE: A Deep Learning Algorithm for Whole-genome Pan-Cancer Somatic Copy Number Aberration Prediction using RNA-seq Data</em>. To use this dataset, please refer to <a href="https://github.com/HowardGech/RCANE" target="_blank" rel="noopener">https://github.com/HowardGech/RCANE</a>.</p>
Linked collectors and determiners for: Anderemaeus (Acari, Oribatida) - overview, three new species from South America and reassessment of Anderemaeidae supported by ontogeny.
Natural history specimen data linked to collectors and determiners held within, "Anderemaeus (Acari, Oribatida) - overview, three new species from South America and reassessment of Anderemaeidae supported by ontogeny". Claims or attributions were made on Bionomia by volunteer Scribes, <a href="https://bionomia.net/dataset/dac99f74-3514-47c5-a5fe-e33ef247dde0">https://bionomia.net/dataset/dac99f74-3514-47c5-a5fe-e33ef247dde0</a> using specimen data from the dataset aggregated by the Global Biodiversity Information Facility, <a href="https://gbif.org/dataset/dac99f74-3514-47c5-a5fe-e33ef247dde0">https://gbif.org/dataset/dac99f74-3514-47c5-a5fe-e33ef247dde0</a>. Formatted as a Frictionless Data package.
Linked collectors and determiners for: A new species of the Chaleponcus dabagaensis - group from Mount Rungwe, Tanzania-support for an extended concept of the Eastern Arc Mountains (Diplopoda, Spirostreptida, Odontopygidae).
Natural history specimen data linked to collectors and determiners held within, "A new species of the Chaleponcus dabagaensis - group from Mount Rungwe, Tanzania-support for an extended concept of the Eastern Arc Mountains (Diplopoda, Spirostreptida, Odontopygidae)". Claims or attributions were made on Bionomia by volunteer Scribes, <a href="https://bionomia.net/dataset/d71f3b4a-f7a9-4f8b-92a3-f4dcbe49ae17">https://bionomia.net/dataset/d71f3b4a-f7a9-4f8b-92a3-f4dcbe49ae17</a> using specimen data from the dataset aggregated by the Global Biodiversity Information Facility, <a href="https://gbif.org/dataset/d71f3b4a-f7a9-4f8b-92a3-f4dcbe49ae17">https://gbif.org/dataset/d71f3b4a-f7a9-4f8b-92a3-f4dcbe49ae17</a>. Formatted as a Frictionless Data package.
Linked collectors and determiners for: DNA analysis of a non-native lineage of Sinanodonta woodiana species complex (Bivalvia: Unionidae) from Middle Asia supports the Chinese origin of the European invaders.
Natural history specimen data linked to collectors and determiners held within, "DNA analysis of a non-native lineage of Sinanodonta woodiana species complex (Bivalvia: Unionidae) from Middle Asia supports the Chinese origin of the European invaders". Claims or attributions were made on Bionomia by volunteer Scribes, <a href="https://bionomia.net/dataset/86a42a54-2f47-458e-a443-13866e9e3191">https://bionomia.net/dataset/86a42a54-2f47-458e-a443-13866e9e3191</a> using specimen data from the dataset aggregated by the Global Biodiversity Information Facility, <a href="https://gbif.org/dataset/86a42a54-2f47-458e-a443-13866e9e3191">https://gbif.org/dataset/86a42a54-2f47-458e-a443-13866e9e3191</a>. Formatted as a Frictionless Data package.
Linked collectors and determiners for: Metallesthes specimens inspected and supporting information published in Metallesthes revision.
Natural history specimen data linked to collectors and determiners held within, "Metallesthes specimens inspected and supporting information published in Metallesthes revision". Claims or attributions were made on Bionomia by volunteer Scribes, <a href="https://bionomia.net/dataset/4677560c-a8d9-4e3e-b883-d3c6d97ded49">https://bionomia.net/dataset/4677560c-a8d9-4e3e-b883-d3c6d97ded49</a> using specimen data from the dataset aggregated by the Global Biodiversity Information Facility, <a href="https://gbif.org/dataset/4677560c-a8d9-4e3e-b883-d3c6d97ded49">https://gbif.org/dataset/4677560c-a8d9-4e3e-b883-d3c6d97ded49</a>. Formatted as a Frictionless Data package.
Linked collectors and determiners for: Molecular study supports the position of the New Zealand endemic genus Lamellomorpha in the family Vulcanellidae (Porifera, Demospongiae, Tetractinellida), with the description of three new species.
Natural history specimen data linked to collectors and determiners held within, "Molecular study supports the position of the New Zealand endemic genus Lamellomorpha in the family Vulcanellidae (Porifera, Demospongiae, Tetractinellida), with the description of three new species". Claims or attributions were made on Bionomia by volunteer Scribes, <a href="https://bionomia.net/dataset/0959b45e-e044-4689-8dbf-7e559b5a985f">https://bionomia.net/dataset/0959b45e-e044-4689-8dbf-7e559b5a985f</a> using specimen data from the dataset aggregated by the Global Biodiversity Information Facility, <a href="https://gbif.org/dataset/0959b45e-e044-4689-8dbf-7e559b5a985f">https://gbif.org/dataset/0959b45e-e044-4689-8dbf-7e559b5a985f</a>. Formatted as a Frictionless Data package.
Linked collectors and determiners for: Morphological, geographic and ecological evidence support a new species of Chusquea subg. Swallenochloa (Poaceae, Bambusoideae, Bambuseae) from Parque Nacional do Caparaó, Brazil.
Natural history specimen data linked to collectors and determiners held within, "Morphological, geographic and ecological evidence support a new species of Chusquea subg. Swallenochloa (Poaceae, Bambusoideae, Bambuseae) from Parque Nacional do Caparaó, Brazil". Claims or attributions were made on Bionomia by volunteer Scribes, <a href="https://bionomia.net/dataset/fec75031-ddb7-4952-8c8f-8b78bd811beb">https://bionomia.net/dataset/fec75031-ddb7-4952-8c8f-8b78bd811beb</a> using specimen data from the dataset aggregated by the Global Biodiversity Information Facility, <a href="https://gbif.org/dataset/fec75031-ddb7-4952-8c8f-8b78bd811beb">https://gbif.org/dataset/fec75031-ddb7-4952-8c8f-8b78bd811beb</a>. Formatted as a Frictionless Data package.
Linked collectors and determiners for: Morphological and molecular evidence support the taxonomic separation of the medically important Neotropical spiders Phoneutria depilata (Strand, 1909) and P. boliviensis (F. O. Pickard-Cambridge, 1897) (Araneae, Ctenidae).
Natural history specimen data linked to collectors and determiners held within, "Morphological and molecular evidence support the taxonomic separation of the medically important Neotropical spiders Phoneutria depilata (Strand, 1909) and P. boliviensis (F. O. Pickard-Cambridge, 1897) (Araneae, Ctenidae)". Claims or attributions were made on Bionomia by volunteer Scribes, <a href="https://bionomia.net/dataset/0a8bdd92-7bf8-44fb-8e8e-5c300df51a20">https://bionomia.net/dataset/0a8bdd92-7bf8-44fb-8e8e-5c300df51a20</a> using specimen data from the dataset aggregated by the Global Biodiversity Information Facility, <a href="https://gbif.org/dataset/0a8bdd92-7bf8-44fb-8e8e-5c300df51a20">https://gbif.org/dataset/0a8bdd92-7bf8-44fb-8e8e-5c300df51a20</a>. Formatted as a Frictionless Data package.
Supporting data for "The Operando Nature of Isobutene in H–SSZ–13 Unraveled by Machine Learning Potentials Beyond DFT Accuracy"
<p>Supporting data for "The Operando Nature of Isobutene in H–SSZ–13 Unraveled by Machine Learning Potentials Beyond DFT Accuracy" by M. Bocus, S. Vandenhaute and V. Van Speybroeck.</p> <p>This dataset contains examples of input files, submission and analysis scripts, in addition to the molecular dynamics trajectories used to obtain the results reported in the main manuscript. A more detailed description of the dataset content is provided in the README files therein.</p>
Wisdom of Crowds for Supporting the Safety Evaluation of Nanomaterials - Data and results
<p>This repository contains the input data and the generated results utilized as part of the research article titled <em>"Wisdom of Crowds for Supporting the Safety Evaluation of Nanomaterials"</em> by Saarimäki & Fratello et al.</p> <h1>Data</h1> <p>This dataset includes anonymized responses of a panel of experts to a questionnaire focused on nanomaterials safety.</p> <h2>Additional Data Sources</h2> <p>This entry further includes additional data from the following sources:</p> <ul> <li><strong>Saarimäki et al. (2021)</strong>: Preprocessed data and primary physicochemical characteristics are available on <a href="https://doi.org/10.5281/zenodo.6425445">Zenodo</a>.</li> <li><strong>Gallud et al. (2020)</strong>: Data is available from the NCBI Gene Expression Omnibus (GEO) under accession number <a href="https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE148705">GSE148705</a>.</li> <li><strong>del Giudice et al. (2023)</strong>: The advanced descriptors are accessible through the associated <a href="https://doi.org/10.5281/zenodo.7674574">Zenodo repository</a>.</li> <li><strong>Labouta et al. (2019)</strong>: The harmonized dataset of ENMs cell viability assays is available as <a href="https://pubs.acs.org/doi/suppl/10.1021/acsnano.8b07562/suppl_file/nn8b07562_si_001.xlsx">supporting information of the reasearch article</a>.</li> </ul> <h1>Outputs</h1> <ul> <li><strong>Statistical modeling:</strong> The inferred parameters of the statistical model developed to analyze the expert responses and identify the consensus among the experts.</li> <li><strong>Machine Learning classifiers:</strong> The performances of several machine learning classifiers trained on the consensus responses to learn models that can predict safety concerns of new nanomaterials based on transcriptomics and physicochemical descriptors data.</li> <li><strong>Feature Importance:</strong> The relevant features extracted from the models analyzed to understand which aspects of the molecular responses to ENMs and which physicochemical properties are most important in driving the predictions.</li> </ul> <h1>Contents</h1> <p><code>data/Combined_cleaned_responses_anon.xlsx</code>: Contains the anonymized responses from the expert panel.</p> <p><code>data/enms_grouping.txt</code>: Contains a categorization of the ENMs based on their core material.</p> <p><code>data/expert_bibliographies_anon.pickle</code>: Contains the anonymized bibliography of the experts to assess the multidisciplinarity of the panel assembled.</p> <p><code>data/gex.csc.gz</code>: Contains the gene expression after exposure to the ENMs.</p> <p><code>data/phenodata.txt</code>: Contains the meta-data of the experiments</p> <p><code>data/physicochemical_descriptors.txt</code>: Contains the physicochemical descriptors of the ENMs.</p> <p><code>data/external/nn8b07562_si_001.xlsx</code>: Contains a panel of harmonized ENMs cytotoxicity assays.</p> <p><code>outputs/concern_scores.csv</code>: Contains the consensus scores inferred by the statistical model.</p> <p><code>outputs/cross_validation/</code>: Contains the logs and performances of all the machine learning classification runs .</p> <p><code>outputs/important_{genes,physchem}_weighted.xlsx</code>: Feature relevance scores of both views.</p> <p><code>outputs/model_inference_anon.nc</code>: Inferred parameters of the statistical model.</p>
mosartwmpy simulations supporting HydroWIRES D3
<p>Contiguous United States <a href="https://github.com/IMMM-SFA/mosartwmpy" target="_blank" rel="noopener">mosartwmpy</a> v0.4.4 simulations providing the managed river flow timeseries for the HydroWIRES D3 experiments. The mosartwmpy simulation was run for the period 1980-2019 using runoff produced by the VIC4 hydrologic model forced with the Daymet meteorological forcing dataset. Water management was turned on and used the data-driven reservoir rules (ISTARF).</p> <p>Streamflows were extracted for 267 locations in the western U.S. to represent actual inflow into hydropower facilities in subsequent models in the D3 experiments.</p> <p>This release contains the mosartwmpy simulation files, the crosswalk mapping hydropower facilities to the mosartwmpy simulation grid, and the extracted streamflow dataset (forecast_perfect.csv).</p>
Data and Analyses supporting "Human-caused ocean warming has intensified recent hurricanes"
<p>Notebooks and data from "Human-caused ocean warming has intensified recent hurricanes", in press at <em>Environmetal Research: Climate</em>.</p> <p>A pre-print of the paper can be found at <a href="https://essopenarchive.org/users/667788/articles/1232538-human-caused-ocean-warming-has-intensified-recent-hurricanes">https://essopenarchive.org/users/667788/articles/1232538-human-caused-ocean-warming-has-intensified-recent-hurricanes</a></p> <p>Included are study analysis notebooks, figure plotting notebooks supportiung the paper publication, and data file outputs forming the computation foundation of paper results.</p> <p>Please email <a href="mailto:dgilford@climatecentral.org" target="_blank" rel="noopener">dgilford@climatecentral.org</a> with any questions or feedback.</p> <p> </p> <p><em>Funding for this work was provided by the Bezos Earth Fund, The Schmidt Family Foun</em><em>dation, and the CO2 Foundation.</em></p>
Supporting dataset for the article 'Unique structural attributes of the PSI-NDH supercomplex in Physcomitrium patens'
<p><strong>Figure </strong><strong>1</strong><strong>:</strong> <strong>Separation and identification of pigment-protein complexes from </strong><strong>Physcomitrium patens</strong><strong> and structural characterization of PSI-NDH/NDH by single particle electron microscopy. a</strong><strong>) </strong>CN-PAGE separation of pigment-protein complexes from the TM from Pp solubilised by 0.5% β-DDM. The image shows the selected gel line scanned at room temperature in transmission mode (colour image) and in fluorescence mode (black and white image). <strong>b)</strong> Immunoblot identification of the NdhH subunit on a PVDF membrane with transferred proteins from the second-dimension denaturing PAGE. Two horizontal bands of the marker (blue colour) designate the molecular weight of proteins at these positions. <strong>c</strong><strong>–</strong><strong>e</strong>) Electron density maps of two forms of PSI-NDH sc and NDH monomer from Pp revealed by single particle electron microscopy (stromal view). The 2D class average of (<strong>c</strong>) the typical form of PSI-NDH sc consisting of 2566 particles, (<strong>d</strong>) the shifted form consisting of 1098 particles, and (<strong>e</strong>) the NDH monomer composed of 2725 particles. Abbreviations: PSII - photosystem II, PSI - photosystem I, LHCII - light-harvesting complex of photosystem II, mc - megacomplex, cc - core complex, mono - monomer, trim – trimer, B1 - C<sub>2</sub>S<sub>2</sub>M<sub>2</sub> band, B2 – C<sub>2</sub>S<sub>2</sub>M band, B3 – C<sub>2</sub>S<sub>2</sub>/C<sub>2</sub>SM band, B4 – PSII cc + PSI band.</p> <p><strong>Figure </strong><strong>2</strong><strong>:</strong> <strong>Structural characterisation of PSI-NDH supercomplex and NDH monomer in </strong><strong>Physcomitrium patens</strong><strong>. a) </strong>Structural model of the PSI-NDH sc in Pp, which corresponds to the arrangements in the PSI-NDH sc from At. <strong>b) </strong>Structural model of the PSI-NDH sc, where PSI is rotated clockwise by 35° in comparison to its position in 2a). <strong>c) </strong>Superposition of the Pp PSI-NDH model with the rotated PSI from image 2b) (in colour) over its un-rotated form from 2a) (grey colour) with pictorial color-coded legend of individual LHCA antennae. <strong>d)</strong> Structural model of the NDH monomer fitted by the truncated At NDH. <strong>e)</strong> Comparison of the Pp NDH model (in colour) versus the complete At NDH model (grey) with highlighted subunits absent in Pp NDH (limon). Structural models of PSI-NDH scs viewed from the stromal side were obtained by a fit of the NDH monomer from At (PDB ID: 7WG5, Su et al., 2022) and PSI complex from Pp (PDB ID: 7KSQ, Gorski et al., 2022). Prior to fitting, the subunits of NDH unencoded in Pp genome were removed from the At NDH structure, namely the PnsB2, PnsB3, and the subunits of SubL. PSI subunits and NDH subcomplexes and selected subunits are color-coded. PSI: forest green - core; pink, white, chocolate, yellow and magenta – LHCA1, LHCA2a, LHCA2b, LHCA5 and LHCA3, respectively. NDH: orange – SubM, cyan – SubB (PnsB1, PnsB4, PnsB5), blue – SubA and NdhT, lime – SubB (PnsB2, PnsB3) and SubL.</p> <p><strong>Supporting Figure S1: Single particle electron microscopy analysis of PSI-NDH supercomplex in <em>Physcomitrium patens</em>. </strong>Representative transmission EM micrographs of the <strong>a)</strong> B1, <strong>b)</strong> B2 and <strong>c)</strong> B3 band containing PSII scs (un-circled particles), PSI-NDH scs (in blue circles) and NDH monomers (in yellow circles); <strong>d)</strong> 2D classification of the PSI-NDH and NDH particles extracted from all micrographs of B1 and B2 bands with the given numbers of particles in each class. The 2478 and 20 454 particles were extracted for B1 and B2 band, respectively, and were further classified into 15 classes.</p> <p><a name="_Hlk177648374"></a><strong>Supporting Figure S</strong><strong>2</strong><strong>: <a name="_Hlk174966851"></a>Relative content of selected proteins in analysed bands (B1–B3). </strong><strong>a) </strong>Relative protein abundance of individual LHCI proteins (including LHCB9) evaluated to the protein content of PSI core (represented by the sum of PsaA and PsaB) in three different bands: B1, B2, and B3.<strong> </strong>The relative protein content of all isoforms representing one LHCA protein (see Table S2) were summarised and subsequently evaluated as one for reducing results complicity. <strong>b)</strong> The relative protein content of PSI (represented by sum of PsaA and PsaB) and PSII (represented by sum of PsbA(D1) and PsbD (D2)) evaluated to the sum of all proteins in specific bands.<strong> c) </strong>The SubA/PSI ratio calculated as the sum of relative protein abundance of SubA NDH subunits divided by the sum of relative protein content of PsaA and PsaB in bands B1 and B2. The relative content (relative PG iBAQ values (riBAQ) in ppm format) of individual LHCA isoforms, LHCB9, SubA subunits, PsaA, PsaB, PsbA (D1) and PsbD (D2) was determined by mass spectrometry in samples prepared from gel bands excised from CN-PAGE (Fig 1a). The presented values are means ± SD from 3 replicates.<strong> </strong></p> <p><strong>Supporting Figure S2 (xlsx format): </strong>Selected mass spectrometry source data for Figure S2(a-c).</p> <p><strong><a name="_Hlk177648454"></a>Supporting Figure S3: Impact of PSI rotation within Pp PSI-NDH sc on the distance between the putative ferredoxin (Fd)-binding sites in NDH and PSI. </strong>Comparison of the distance between Fd-binding site in NDH and PSI in typical (a) and shifted (b) form of PSI-NDH sc. The subunits forming Fd-binding site in NDH according Laughlin et al. (2020): NdhO, NdhI, NdhH (excluding NdhS and NdhV absent in model) and in PSI according Caspy et al. (2020): stromal PsaC-E (excluding PsaA, PsaF) are labelled and colour coded as follows: NDH: limon, blue, orange – NdhO, NdhH, NdhI, respectively; PSI: yellow, violet, and firebrick –PsaC, PsaD, PsaE, respectively, with the rest of the subunits in PSI and NDH in grey colour. The binding positions of the Fd in NDH (O-site) and PSI are illustrated as brown circles. Structural models of PSI-NDH scs viewed from the stromal side were obtained by a fit of the NDH monomer from At (PDB ID: 7WG5, Su et al., 2022) and PSI complex from Pp (PDB ID: 7KSQ, Gorski et al., 2022). Prior to fitting, the subunits of NDH unencoded in Pp genome were removed from the At NDH structure, namely the PnsB2, PnsB3, and the subunits of SubL. Two headed arrows determine the distance between approx. centre of Fd-binding sites in NDH and PSI in two different structures with estimated values in Angstroms. <strong> </strong></p> <p><strong>Supporting Table S1:</strong> <strong>A summary of the identified PSI-NDH supercomplex subunits in </strong><strong>Physcomitrium patens</strong><strong>. </strong>MS analysis of the B2 band (in 3 technical replicates) from CN-PAGE used for transmission EM analysis. The subunits of the PSI and NDH complexes identified in the band after digestion with trypsin and assigned according to UniProt database records are listed. Proteins highlighted in green are not encoded in the Physcomitrium patens genome or do not have any record in the UniProt database, proteins highlighted in orange were not identified in our dataset.</p> <p><a name="_Hlk177048123"></a><strong>Supporting Table S2: The list of all LHCI proteins (including LHCB9) and their isoforms identified in four analysed bands B1, B2, B3 and B4 by mass spectrometry.</strong> Individual rows represent different isoforms of LHCI antennae detected in specific bands by MS, accession numbers according UniProt database in one row represent the same isoform of protein. Letters “Y” and “N” indicate whether the specific protein was detected or undetected in MS dataset of individual bands, respectively. The label “Low” was assigned to those protein that were detected, however, whose abundance was close to the detection limit or they had overall low and negligible abundance relatively to PSI core. For band B1–B3 and B4 three and four technical replicates were analysed, respectively. </p>
Data supporting publication: All-dielectric structural coloration empowered by bound states in the continuum
<p>This repository includes the data corresponding to the figures shown in the journal article entitled</p> <p>"All-dielectric structural coloration empowered by bound states in the continuum"</p>
Supporting information for "Regional benthic δ18O stacks for the "41-kyr world" - an Atlantic-Pacific divergence between 1.8-1.9 Ma"
<p><strong>Abstract</strong></p> <p>Benthic δ<sup>18</sup>O stacks are the benchmarks by which paleoceanographic data are stratigraphically aligned and compared. However, a recent study found that between 1.8-1.9 million years ago (Ma) several Ceara Rise records differed substantially from the widely used LR04 global stack. Here, we use new Bayesian stacking software to construct regional stacks and demonstrate a geographical divergence in benthic δ<sup>18</sup>O features from 1.8-1.9 Ma. The pattern of isotopic stage features observed in the Ceara Rise is widespread throughout the Atlantic and differs notably from Pacific records. We propose that this regional difference in isotopic stages may be the result of relatively strong precession forcing and weaker obliquity forcing between 1.8-1.9 Ma. In accordance with the Antiphase Hypothesis, our results highlight a period of apparent sensitivity to regional precession forcing that is masked during most of the 41-kyr world due to the amplitude modulation of obliquity forcing.</p> <p>In this version, we tested how an update to the BIGMACS code base (https://github.com/eilion/BIGMACS) to V1.1 may or may not impact our results of the GRL paper. We found that the updated code has a negligent impact on the results, as can be seen in the two new figures.</p>
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.