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Data from: Projecting shifts in thermal habitat for 686 species on the North American continental shelf
Recent shifts in the geographic distribution of marine species have been linked to shifts in preferred thermal habitats. These shifts in distribution have already posed challenges for living marine resource management, and there is a strong need for projections of how species might be impacted by future changes in ocean temperatures during the 21st century. We modeled thermal habitat for 686 marine species in the Atlantic and Pacific oceans using long-term ecological survey data from the North American continental shelves. These habitat models were coupled to output from sixteen general circulation models that were run under high (RCP 8.5) and low (RCP 2.6) future greenhouse gas emission scenarios over the 21st century to produce 32 possible future outcomes for each species. The models generally agreed on the magnitude and direction of future shifts for some species (448 or 429 under RCP 8.5 and RCP 2.6, respectively), but strongly disagreed for other species (116 or 120 respectively). This allowed us to identify species with more or less robust predictions. Future shifts in species distributions were generally poleward and followed the coastline, but also varied among regions and species. Species from the U.S. and Canadian west coast including the Gulf of Alaska had the highest projected magnitude shifts in distribution, and many species shifted more than 1000 km under the high greenhouse gas emissions scenario. Following a strong mitigation scenario consistent with the Paris Agreement would likely produce substantially smaller shifts and less disruption to marine management efforts. Our projections offer an important tool for identifying species, fisheries, and management efforts that are particularly vulnerable to climate change impacts.
How exposed are node.js projects to vulnerable packages?
<p>This package contains the data + scripts files used for our analysis in the manuscript.</p> <p>For more information on how to understand the folder structure, please read the README.md.</p>
Common Inputs for the CIL Projection System
<p>This data repository provides basic input data for the projection system, https://gitlab.com/ClimateImpactLab/Impacts/impact-calculations/</p> <p>During the installation process for the projection system, this data should be stored in the "shared directory", and the system pointed to it.</p> <p>The repository contains the following directories:</p> <p> - climate: Example climate data files (only data for the year 2000 of CCSM4 is included).<br> - regions: Input files specifying the structure of impact regions.<br> - social: Socioeconomic data used as inputs to the projection system.</p> <p>This repository was prepared by the Climate Impact Lab `socioeconomics/sharing/make_archive.sh` script.</p>
Figure 10 in Taxonomy and distribution of the genus Amphicteis (Polychaeta: Ampharetidae) collected by the BIOICE project in Icelandic waters
Figure 10. Amphicteis wesenbergae sp. nov. Scanning electron micrograph from paratype (ZMUC-POL-2148). (A) Anterior end, dorsal view; (B) paleae, distal end; (C) thoracic chaetigers 1–4, dorsal view; (D) posterior end, dorsal view; (E) abdominal mid-body chaetiger; (F) abdominal uncini. Abbreviations: cp, clavate papilla; dc, dorsal cirrus.
Figure 8. Amphicteis vestis Hartman, 1965. Scanning electron micrographs from IMNH 24084 in Taxonomy and distribution of the genus Amphicteis (Polychaeta: Ampharetidae) collected by the BIOICE project in Icelandic waters
Figure 8. Amphicteis vestis Hartman, 1965. Scanning electron micrographs from IMNH 24084. (A) Tenth thoracic neuropodia and uncini; (B) first abdominal chaetiger, dorsal view of winged expansion of notopod; (C, D) lateral and dorsal views of transitional zone between thorax and abdomen; (E) detail of ciliature present on inner edge of winged notopodia; (F) first abdominal neuropodia and uncini. Abbreviations: wn, winged notopodia of first abdominal chaetiger; tno, thoracic notopod; tne, thoracic neuropod; ane, abdominal neuropod.
Figure 4 in Taxonomy and distribution of the genus Amphicteis (Polychaeta: Ampharetidae) collected by the BIOICE project in Icelandic waters
Figure 4. Amphicteis gunneri (Sars, 1835). Scanning electron micrographs from IMNH 24080. (A) Pair of nephridial pori (arrows) located on the ridge connecting the two groups of branchiae; (B) anterior end, dorsal view; (C) paleae, distal end. Amphicteis ninonae Jirkov, 1985, scanning electron micrographs, (IMNH 24081). (D) Anterior end, dorsal view; (E) paleae, distal end; (F) abdominal neuropodia with uncini.
Figure 3 in Taxonomy and distribution of the genus Amphicteis (Polychaeta: Ampharetidae) collected by the BIOICE project in Icelandic waters
Figure 3. Amphicteis gunneri (Sars, 1835). Scanning electron micrographs from IMNH 24079. (A) Anterior end, dorsal view; (B) detail of dorsal ciliated tufts behind branchiae (arrow in A); (C) prostomium; (D) thoracic neuropodium and uncini; (E) abdominal uncini; (F) posterior region, lateral view. Abbreviations: pr, prostomial ridge, ng; nuchal groove.
Figure 2 in Taxonomy and distribution of the genus Amphicteis (Polychaeta: Ampharetidae) collected by the BIOICE project in Icelandic waters
Figure 2. Amphicteis gunneri (Sars, 1835). Scanning electron micrographs from IMNH 24079. (A) Thoracic chaetigers 1–3, right side, dorsal view; (B) chaetiger 2, ventral clavate papilla; (C) chaetiger 17, notopodium; (D) mid-abdominal chaetiger; (E) mid-abdominal notopodial clavate papilla; (F) detail of ciliature of abdominal notopodial clavate papilla. Abbreviations: cp, clavate papilla.
Figure 1 in Taxonomy and distribution of the genus Amphicteis (Polychaeta: Ampharetidae) collected by the BIOICE project in Icelandic waters
Figure 1. Distribution maps of total Amphicteis material examined (A), Amphicteis vestis (B) and Amphicteis wesenbergae sp. nov. (C).
Figure 5 in Taxonomy and distribution of the genus Amphicteis (Polychaeta: Ampharetidae) collected by the BIOICE project in Icelandic waters
Figure 5. Number of paleae versus body width in BIOICE specimens of Amphicteis gunneri (Sars, 1835) and Amphicteis ninonae Jirkov, 1985.
Figure 7. Amphicteis vestis Hartman, 1965. Scanning electron micrographs from IMNH 24083 in Taxonomy and distribution of the genus Amphicteis (Polychaeta: Ampharetidae) collected by the BIOICE project in Icelandic waters
Figure 7. Amphicteis vestis Hartman, 1965. Scanning electron micrographs from IMNH 24083. (A) Anterior end in dorsal view; (B) ciliated nuchal pit; (C) ventral view of anterior end; (D) detail of ciliated side of buccal tentacle; (E) detail of non-ciliated side of buccal tentacle; (F) basal scars of right branchiae (numbered). Abbreviations: tno, thoracic notopod.
Figure 9 in Taxonomy and distribution of the genus Amphicteis (Polychaeta: Ampharetidae) collected by the BIOICE project in Icelandic waters
Figure 9. Amphicteis wesenbergae sp. nov. Holotype (ZMUC-POL-1871). (A) Dorso-lateral view; (B) thorax–abdomen transition, lateral view; (C) abdominal chaetigers, lateral view.
NIOO Encounternet Project 2014-2019
<p>This dataset contains radio-tracking data obtained with <em>Encounternet, </em>as part of an NWO funded project (823.01.005) to investigate sexual conflict and negotiation rules over parental care at the Netherlands Institute of Ecology. The data are divided into two parts: a field test data and data collected on great tits (<em>Parus major</em>) parents during parental care.</p>
Data from: Predicting range expansion of invasive species: pitfalls and best practices for obtaining biologically realistic projections
<p>Species Distribution Models (SDM) for seven invasive plant species in North America. Species distribution models (SDMs) are widely used to forecast potential range expansion of invasive species. However, invasive species occurrence datasets often have spatial biases that may violate key SDM assumptions. We examined alternative methods of spatial bias correction and multiple methods for model evaluation for seven invasive plant species. Species SDMs include Common Tansy<i> </i>(<i>Tanacetum vulgare</i>), Wild Parsnip<i> </i>(<i>Pastinaca sativa</i>), Leafy Spurge (<i>Euphorbia virgata</i>), Common Teasel<i> </i>(<i>Dipsacus fullonum</i>), Brown Knapweed<i> </i>(<i>Centaurea jacea</i>), Black Swallowwort<i> </i>(<i>Vincetoxicum nigrum</i>), and Dalmatian Toadflax<i> </i>(<i>Linaria dalmatica</i>). </p>
FIGURE 5. Mimosa pseudoracemosa. A. Habit. B. Stipule. C. Leaf. D. Interpinnal projection. E. Paraphyllidia. F. and G. Leaflets with different shapes. H in Novelties in Mimosa sect. Mimosa ser. Mimosa subser. Polycephalae: a new species, new status, and new synonyms
FIGURE 5. Mimosa pseudoracemosa. A. Habit. B. Stipule. C. Leaf. D. Interpinnal projection. E. Paraphyllidia. F. and G. Leaflets with different shapes. H. Detail of leaflets margins. I. Detail of the synflorescence. J. Bracteoles. K. Flower. L. Androecium. M. Detail of the filament. N. Anthers. O. Gynoecium. P. Detail of the ovary.
Figure 2 in Diversity of Chironomidae (Diptera) breeding in the Great Stour, Kent: baseline results from the Westgate Parks non-biting midge project
Figure 2. (a) Genus percent abundance per site, and (b) genus dominance plot per site in the Great Stour in Kent, UK.
Figure 3 in Diversity of Chironomidae (Diptera) breeding in the Great Stour, Kent: baseline results from the Westgate Parks non-biting midge project
Figure 3. (a) Dendrogram showing the Bray-Curtis dissimilarities among sites, and (b) Principal Components Analysis (PCA) and biplot of Chironomidae genera for sites in the Great Stour in Kent, UK.
Dataset gathered in HLU6 – UC05 (TC05) - CROSSBOW PROJECT
<p>Monitored voltages (kV), active power (MW) and reactive power(MVAr).</p>
Rockfish Genome Project Data V1
<p>Annotation files and scaffolds for genomes generated for the Rockfish Genome Project</p>
Professor Claudio Cobelli introduces the FORGETDIABETES project
<p>Emeritus Professor of Bioengineering at the University of Padova and project coordinator Claudio Cobelli shows the goals of the Horizon 2020 European Project FORGETDIABETES.</p> <p> </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.