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.
2,107
datasets available to search
ShareScore release 0.9.0
Dataset results
2,107 results for “margin;”
Biomarker indices and concentrations and biomarker-based temperature estimates from the Iberian Margin core MD95-2042, composite atmospheric temperature record from Greenland, and stacks of delta 18Oice and atmospheric temperature records from three Antarctic sites
<p>Core MD95-2042 alkenone and GDGT data: This dataset provides the following information for core MD95-2042: depth, age, summed OH-GDGT, iGDGT, and di-unsaturated and tri-unsaturated C<sub>37</sub> alkenone concentrations, OH-GDGT-based, iGDGT-based, and alkenone-based paleothermometric indices, GDGT-2/GDGT-3 ratio, and biomarker-based sea surface temperature (SST) and 0‐ to 200‐m sea temperature (subT; gamma function probability distribution for target temperatures with a = 4.5 and b = 15) estimates. Sediment samples were taken every 5 cm from core MD95-2042 and homogenized before lipid extraction. The lipid extracts were splitted into two fractions: one for alkenone analysis by gas chromatography coupled to a flame ionization detector, and the other for GDGT analysis by high-performance liquid chromatography coupled to mass spectrometry. All GDGT analyses were done in duplicate. The 1σ analytical uncertainties from 37 replicate analyses of the core catcher sample from core MD95-2042 are 0.007 (0.4 °C) for RI-OH, 0.008 (0.2 °C) for RI-OH′, 0.003 (0.2 °C) for TEX<sub>86</sub>, 0.238 for GDGT-2/GDGT-3, and 0.010 (0.26 °C) for U<sup>K′</sup><sub>37</sub>. RI-OH′-SST estimates are from the following global calibration: SST = (RI-OH′ + 0.029)/0.0422 (Fietz et al., 2020). RI-OH-SST estimates are from the following global calibration: SST = (RI-OH − 1.11)/0.018 (Lü et al., 2015). TEX<sub>86</sub><sup>H</sup>-SST estimates are from the following regional paleocalibration: SST = 68.4 × TEX<sub>86</sub><sup>H</sup> + 33.0 (Darfeuil et al., 2016). U<sup>K′</sup><sub>37</sub>-SST estimates are from the following global calibration: SST = 29.876 × U<sup>K′</sup><sub>37</sub> − 1.334 (Conte et al., 2006). Bayesian calibrations were also used for TEX<sub>86</sub>-SST and TEX<sub>86</sub>-subT estimates (BAYSPAR; Tierney & Tingley, 2014, 2015) and for U<sup>K′</sup><sub>37</sub>-SST estimates (BAYSPLINE; Tierney & Tingley, 2018). Alkenone data covering the 160–70 and 70–0 ka BP periods are from Davtian et al. (2021) and Darfeuil et al. (2016), respectively. GDGT data covering the 160–45 ka BP period are from Davtian et al. (2021). The age model of core MD95-2042 for the 160–43 and 43–0 ka BP periods was obtained by tuning to Chinese speleothems (Cheng et al., 2016) and by recalibrating existing <sup>14</sup>C ages with the Marine20 calibration curve (Heaton et al., 2020), respectively. MIS, Marine Isotope Stage; GDGT, glycerol dialkyl glycerol tetraether; and N/A, not available.</p> <p>Greenland atmospheric temperature record: This dataset consists in a composite Greenland atmospheric temperature record, which was built with the following records: the GISP2 atmospheric temperature record by Kobashi et al. (2017) for the 10–0 ka BP period, the NGRIP atmospheric temperature record by Kindler et al. (2014) for the 120–10 ka BP period, and the NEEM atmospheric temperature record by NEEM community members (2013) for the 129–120 ka BP period. The NEEM temperature anomalies obtained by NEEM community members (2013) were shifted by –31 °C to obtain absolute air temperatures. The employed age model is the one of Davtian and Bard (2023) for Greenland and Antarctic ice-core records.</p> <p>Antarctic δ<sup>18</sup>O<sub>ice</sub> and atmospheric temperature stacks: This dataset consists in two stacks of three Antarctic records (EDC, EDML, and WD), one for δ<sup>18</sup>O<sub>ice</sub> and the other for atmospheric temperature: both stacks are provided with their stacking uncertainties. To build the Antarctic δ<sup>18</sup>O<sub>ice</sub> stack, the Antarctic δ<sup>18</sup>O<sub>ice</sub> records were resampled every 10 years before centering to zero means and normalization to unit standard deviations over the 140–0 ka BP period (68–0 ka BP for WD). To optimize the continuity between the portions with and without the WD ice core, the Antarctic δ<sup>18</sup>O<sub>ice</sub> records were centered to zero means over the 68–67 ka BP period. The resulting Antarctic δ<sup>18</sup>O<sub>ice</sub> records were then averaged and stacking uncertainties were calculated as the pooled standard deviation of the stacked Antarctic δ<sup>18</sup>O<sub>ice</sub> records divided by the square root of the number of stacked Antarctic δ<sup>18</sup>O<sub>ice</sub> records. The final Antarctic δ<sup>18</sup>O<sub>ice</sub> stack, expressed in ‰, has the same standard deviation as the δ<sup>18</sup>O<sub>ice</sub> record from EDML over the 140–0 ka BP period, and has a zero mean over the 1–0 ka BP. The Antarctic atmospheric temperature stack was built like the Antarctic δ<sup>18</sup>O<sub>ice</sub> stack, except that the Antarctic δ<sup>18</sup>O<sub>ice</sub> records were corrected for seawater δ<sup>18</sup>O<sub>ice</sub> variations before conversion into atmospheric temperature. The employed age model is the one of Davtian and Bard (2023) for Greenland and Antarctic ice-core records.</p>
Dataset to manuscript "The role of weathering on morphology and rates of escarpment retreat of the rift margin of Madagascar" by Wang et al. (2023) submitted to Journal of Geophysical Research-Earth Surface.
<p>The dataset includes the relevant raw chemical element content data and the chemical weathering condition analysis of river sediment samples of Madagascar. The dataset is a supplement to the manuscript "The role of weathering on morphology and rates of escarpment retreat of the rift margin of Madagascar", by Wang et al. (2023) submitted to the Journal of Geophysical Research-Earth Surface. Commercially sensitive data is hidden but is available by request directly to the corresponding author. The data should <strong>NOT</strong> be used commercially.</p> <p>A MATLAB code for the weathering indices calculation is open-access on GitHub (https://github.com/yanyanwangesd/chemical_weathering). Please contact the corresponding author for more info or technical support on using the code. </p>
Field margins as substitute habitat for the conservation of birds in agricultural wetlands; Supplementary information
<p>Supplementary material, dataset and script links to the research paper submit for recommendation by PCI Ecology.</p>
Large leaf hydraulic safety margins limit the risk of drought-induced leaf hydraulic dysfunction in Neotropical rainforest canopy tree species
<p>The sequence of key water potential thresholds from the onset of water stress to mortality, and the timing of stomatal closure with regard to leaf xylem embolism formation are essential to characterizing plant adaptive strategies to drought. This constitutes a critical knowledge gap for tropical rainforest species, which may be less vulnerable to drought than previously thought.</p> <p>We recorded key leaf and stem water potential thresholds, leaf hydraulic safety margins (HSMleaf), leaf stomatal safety margins (SSMleaf) and estimated native embolism levels during a normal-intensity dry season across 18 Neotropical rainforest tree species. We also solved a sequence of key water potential thresholds. Additionally, we provide a cross-biome analysis of SSMleaf encompassing 97 species from four major biomes based on a literature survey.</p> <p>In the studied rainforest species, leaf turgor loss point, used as a surrogate for stomatal closure, typically occurred before the onset of leaf xylem embolism. Most species exhibited positive HSMleaf and SSMleaf, with contrasting values across species and nearly absent embolism levels during the dry season irrespective of the experienced midday leaf water potentials. Our results point out that leaf xylem embolism is not routine for Neotropical rainforest tree species.</p> <p>Based on our proposal of the water potential sequence for tropical rainforest trees, we argue that leaf xylem embolism is a rare event for these species. This was supported by the literature survey, indicating that across biomes, most woody species have rather large SSM<sub>leaf</sub> and that leaves of tropical rainforest trees are not necessarily more vulnerable than in other biomes. However, we found evidence that some tropical rainforest species may be more vulnerable than others to ongoing climate change. Our data provide an opportunity to parametrize tree-based or land-surface models for tropical rainforests.</p>
CDOM spectral slope (S275-295) as tracers of water masses, CDOM heterogeneity, and 14C-DOC in an oligotrophic marginal sea
<p>The present study is focused on the CDOM vertical profiles in the northern South China Sea. The results suggest humic-like FDOM is controlling the variation of the spectral slope of CDOM (<em>S</em><sub>275-295</sub>). In addition, our results suggest <em>S</em><sub>275-295</sub> could be used as tracers of water mass, CDOM diversity and radiocarbon age of dissolved organic carbon in oligotrophic ocean.</p>
Data for Haid et al.: On the drivers of regime shifts in Antarctic marginal seas... Part I
<p>Data behind the figures in the article; 4D potential temperature and salinity in Weddell region for reference experiments REF and H20C, and reversal experiments R_ERA and R_H20C.</p>
Oligocene–Miocene exhumation of the Pinaleño metamorphic core complex, southeastern Arizona: support for magmatism and plate margin reorganization as controls on regional exhumation trends
<p>We present thermochronology data from igneous and metamorphic rock samples collected from the Pinale<strong>ñ</strong>o Mountains, southeast Arizona, U.S.A. Our interpretations of the data are described and discussed in a paper in the journal Tectonics, titled “Oligocene–Miocene exhumation of the Pinaleño metamorphic core complex, southeastern Arizona: support for magmatism and plate margin reorganization as controls on regional exhumation trends.” New data include biotite and white mica Ar/Ar analyses, apatite fission track analyses, apatite (U-Th-Sm)/He analyses, and zircon (U-Th-Sm)/He analyses. The data were used for inverse HeFTy modeling and forward radiation damage and annealing modeling (RDAAM) to investigate time-temperature histories. The data set comprises a table summarizing the results of Ar/Ar analyses (Table S1), a table with the detailed results of zircon (U-Th-Sm)/He thermochronology (Table S2), a table with the detailed results of apatite (U-Th-Sm)/He thermochronology (Table S3), a table summarizing the results of apatite fission track analyses, including radial plots (Table S4), and a table summarizing the input data and constraints used for inverse modeling.</p>
High-latitude marginal reefs support fewer but bigger corals than their tropical counterparts
<p><span>Anthropogenic impacts are typically detrimental to tropical coral reefs, but the effect of increasing environmental stress and variability on the size structure of coral communities remains poorly understood. This limits our ability to effectively conserve coral reef ecosystems because size-specific dynamics are rarely incorporated. Our aim is to quantify variation in the size structure of coral populations across 20 sites along a tropical-to-subtropical environmental gradient on the east coast of Australia (~23</span><span>°</span><span>S to 30</span><span>°</span><span>S), to determine how size structure changes with a gradient of sea surface temperature, turbidity, productivity and light levels. We use two approaches: 1) linear regression with summary statistics (such as median size) as response variables, a method frequently favoured by ecologists; and 2) compositional functional regression, a novel method using entire size-frequency distributions as response variables. We then predict coral population size structure with increasing environmental stress and variability. Together, we find fewer but larger coral colonies in marginal reefs, where conditions are typically more variable and stressful, than in tropical reefs.</span> <span>Our model predicts that coral populations may become gradually dominated by larger colonies (> 148 cm<sup>2</sup>) with increasing environmental stress. Fewer but bigger corals suggest low survival of smaller corals, slow growth, and / or poor recruitment. This finding is concerning for the future of coral reefs, as it implies that current marginal populations, or future reefs in increasingly stressful environmental conditions may have low recovery potential. We highlight the importance of continuously monitoring changes to population structure over biogeographic scales.</span></p>
The evolvement of ULVZ at LLSVP margins--selected models with various buoyancy number and compositional viscosity
<p>This tar.gz file is created and uploaded for the submission of the manuscript titled '<em>The evolvement of dense ULVZs at LLSVP margins and implications</em>' to the journal <em>Geophysical Research Letters</em>.</p> <p>This tar.gz file is for selected models with various buoyancy number (B) and compositional viscosity (etaC), which are described and compared with the reference model (in doi 10.5281/zenodo.8394637) in the manuscript. The collection includes the raw output data and post-processed data illustrated in Figures 3. </p> <p>1. the /scratch directory</p> <p>This directory contains the raw output data of three models listed below. All models are calculated by CitcomS (modified from the CitcomS-3.3.1 version) and the data follows the CitcomS output convention. Please read the description of a previous upload (doi 10.5281/zenodo.8394637, titled 'The evolvement of ULVZ at LLSVP margins--reference model with B=3.0 and etaC=1.0') for more information.</p> <p>The ULVZ-v1B6_h10l10/ directory: the model with B=6.0 and etaC=1.0, illustrated in the top panel of Figure 3 </p> <p>The ULVZ-v1B1-5_h10l10/ directory: the model with B=1.5 and etaC=1.0, illustrated in the middle panel of Figure 3 </p> <p>The ULVZ-v01B3_h10l10/ directory: the model with B=3.0 and etaC=0.1, illustrated in the bottom panel of Figure 3 </p> <p>2. the data_plots/ directory: data extracted from the raw outputs and plotted in Figure 3.</p> <p>The time frame of 14800 is for the left column in Figure 3, and the other time frames are for the right column in Figure 3. </p> <p>temperature: *temp* files</p> <p>composition: *comp* files</p> <p>velocity: *velo_Sv* files</p> <p>density anomaly: *density* files</p>
The evolvement of ULVZ at LLSVP margins--supporting materials
<p>This tar.gz file is created and uploaded for the submission of the manuscript titled '<em>The evolvement of dense ULVZs at LLSVP margins and implications</em>' to the journal <em>Geophysical Research Letters</em>.</p> <p>This tar.file contains four directories /F1, /F2, /F3, /F4 with data used to plot Figures 1, 2, 3, 4, respectively, in the supporting material. The data follows the same convention as that in doi10.5281/zenodo.8394882 and 10.5281/zenodo.8394637.</p>
Data for: Stable isotopes in eye lenses reveal migration and mixing patterns of diamond squid in the western North Pacific and its marginal seas
<p><span>Knowledge of the movements of marine organisms is essential for effective conservation schemes. Here, we investigated the lifetime habitat use of diamond squid, <em>Thysanoteuthis</em> <em>rhombus</em>, collected in the western North Pacific and its marginal seas (the Sea of Japan and the East China sea) during 2021–2022, whose migratory ecology is poorly known, using bulk stable nitrogen and carbon isotope ratios in eye lenses. From the eye lens isotope profiles, the chronology of the isotopic baseline of squid habitat was estimated by removing the effect of size-dependent changes of trophic position. Then, the baseline estimates were compared to the isoscapes of particulate organic matter. The baseline chronologies showed fluctuations during the paralarval and juvenile stages, becoming stable during the adult stage, suggesting that significant movements mainly occur during the early life stages due to current transport, with adults potentially not undertaking long-distance migrations. The squids in the marginal seas mostly originated from outside the subtropical gyre, while the squids in the subtropical gyre had various sources, including outside the gyre and southern and northern parts within the gyre, revealing a complex mixing pattern of the species. These results show that isotope chronology combined with baseline isoscapes are effective tools to understand animal migrations, which can help to manage various cephalopods and fishes.</span></p>
Glofit and Obin in Follicular Lymphoma and Marginal Zone Lymphoma
ClinicalTrials.gov study NCT05783596. IPD Sharing: YES. Countries: 1. Publications: 0.
Yttrium Y 90 Ibritumomab Tiuxetan and Rituximab in Treating Patients With Previously Untreated Marginal Zone Lymphoma
ClinicalTrials.gov study NCT00453102. IPD Sharing: Not stated. Countries: 1. Publications: 1.
Rituximab Plus Lenalidomide for Patients With Relapsed / Refractory Indolent Non-Hodgkin's Lymphoma (Follicular Lymphoma and Marginal Zone Lymphoma)
ClinicalTrials.gov study NCT01938001. IPD Sharing: Not stated. Countries: 17. Publications: 2.
Intraoperative Assessment of Distal Resection Margins Using Frozen Section in Mid and Low Rectal Cancer Surgery
ClinicalTrials.gov study NCT07398716. IPD Sharing: NO. Countries: 1. Publications: 2.
A Trial of Two Electrosurgical Conizations: Histopathological Analysis of Excision Margins
ClinicalTrials.gov study NCT01929993. IPD Sharing: Not stated. Countries: 1. Publications: 1.
Ublituximab Followed by Response-driven Addition of Umbralisib for Treatment-naive Follicular or Marginal Zone Lymphoma
ClinicalTrials.gov study NCT04508647. IPD Sharing: NO. Countries: 1. Publications: 32.
Marginal Bone and Soft Tissue Alterations After Use of OsseoSpeed EV Profile Implants
ClinicalTrials.gov study NCT04243421. IPD Sharing: NO. Countries: 1. Publications: 2.
Rituximab Plus Venetoclax in Front Line Marginal Zone Lymphoma
ClinicalTrials.gov study NCT06510309. IPD Sharing: YES. Countries: 1. Publications: 0.
Evaluation of Late Toxicity Following Intensity-Modulated Radiotherapy and Two Image-Guided Strategies With Corresponding Treatment Margins.
ClinicalTrials.gov study NCT03254420. IPD Sharing: NO. Countries: 1. Publications: 42.
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.