Find research datasets worth reusing

opencc-by-4.0Oct 2022View details →

Figure 2 in Lasioglossum (Dialictus) semicaeruleum (Cockerell, 1895) (Hymenoptera: Halictidae) in Maryland: A disjunct population in eastern North America?

Figure 2. Maryland specimen records of Lasioglossum semicaeruleum. Left to right: USGS_DRO029678 (Bowie, Prince George's County), USGS_DRO556278 (Poplar Island, Talbot County), and USGS_DRO141684 (Wittman, Talbot County). Created with SimpleMappr (Shorthouse 2010).

openother-openDec 2022View details →

Voice of America: Ukrainian ASR Dataset of Broadcast Speech

The dataset is based on public recordings of Voice of America (<a href="https://ukrainian.voanews.com">https://ukrainian.voanews.com</a>) extracted from their videos. The dataset contains 398 hours of speech. The dataset is created by the ASR Corpus Creator (<a href="https://zenodo.org/record/7396705">https://zenodo.org/record/7396705</a>). The format of files: WAV with 16 kHz.

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Data for: Off-host survival of blacklegged ticks in eastern North America: A multi-stage, multi-year, and multi-site study

Climatic conditions are widely thought to govern the distribution and abundance of ectoparasites, such as the blacklegged tick (Ixodes scapularis), vector of the agents of Lyme disease and other emerging human pathogens. However, translating physiological tolerances to distributional limits or mortality is challenging. Ticks may be able to avoid or tolerate unsuitable conditions, and what is lethal to one life history stage may not extend to others. Thus, even after decades of research there are clear gaps in our knowledge about how climatic conditions determine tick distributions or patterns of abundance. We present the results of a comprehensive, three-year study of the influence of local temperatures and vapor pressure deficits on the survival of each free-living, off-host stage of I. scapularis in semi-natural enclosures across three locations that span their current distribution in eastern North America. We found that only larvae are clearly sensitive to direct mortality from climatic conditions, specifically desiccating conditions, whereas mortality of nymphs and adults appears to stem from exhausted energy reserves. We also found strong evidence that key developmental transitions in the tick's life cycle—fed larvae molting into to nymphs, fed nymphs molting into adults, and fed females producing larvae (via egg masses)—were all strongly temperature-dependent, though temperatures were not limiting in any of our sites. Collectively, our results suggest that climate is likely to impact I. scapularis largely through its impact on the larval stage.

opencc-zeroDec 2022View details →

opencc-by-4.0Jan 2023View details →

GlobBiomass dataset of forest biomass, South America N (25 m)

The dataset consists of a map of above ground forest biomass (AGB, unit: tons/ha i.e., Mg/ha) of the South American region (between 10°S and 24°N) for the year 2010 (raster dataset) with a pixel size of 25 m x 25 m. AGB is defined as the mass, expressed as oven-dry weight of the woody parts (stem, bark, branches and twigs) of all living trees excluding stump and roots. Per-pixel estimates of above-ground biomass uncertainty expressed as standard error in Mg/ha (raster dataset) are also provided.  The AGB estimates were obtained from spaceborne SAR (ALOS PALSAR, Envisat ASAR), optical (Landsat-7), LiDAR (ICESAT), auxiliary datasets with multiple estimation procedures (Santoro et al., ESSD, 2021).  In this repository, the AGB data are available in form of tiles of 2° x 2° (bounding box: longitude -180°E/-26°E latitude: -10°N/+24°N). This dataset is the basis for the official GlobBiomass dataset consisting of global estimates of forest biomass with 1 ha pixels (<a href="https://doi.pangaea.de/10.1594/PANGAEA.894711">https://doi.pangaea.de/10.1594/PANGAEA.894711</a>). The dataset in this repository represents the original GlobBiomass dataset of AGB from which the official dataset was obtained after averaging from 25 m to 100 m. Given the lower accuracy of the 25 m pixel-based estimates, it is recommended to use the official GlobBiomass dataset unless detailed spatial resolution is a fundamental asset.  Technical specifications are provided in the file README_GLOBBIOMASS_South_America_N_20210428.pdf

opencc-by-4.0Jan 2023View details →

GlobBiomass dataset of forest biomass, North America N (25 m)

The dataset consists of a map of above ground forest biomass (AGB, unit: tons/ha i.e., Mg/ha) of the North American region between 50°N and 90°N for the year 2010 (raster dataset) with a pixel size of 25 m x 25 m. AGB is defined as the mass, expressed as oven-dry weight of the woody parts (stem, bark, branches and twigs) of all living trees excluding stump and roots. Per-pixel estimates of above-ground biomass uncertainty expressed as standard error in Mg/ha (raster dataset) are also provided.  The AGB estimates were obtained from spaceborne SAR (ALOS PALSAR, Envisat ASAR), optical (Landsat-7), LiDAR (ICESAT), auxiliary datasets with multiple estimation procedures (Santoro et al., ESSD, 2021).  In this repository, the AGB data are available in form of tiles of 2° x 2° (bounding box: longitude -180°E/-26°E latitude: 50°N/+90°N). This dataset is the basis for the official GlobBiomass dataset consisting of global estimates of forest biomass with 1 ha pixels (<a href="https://doi.pangaea.de/10.1594/PANGAEA.894711">https://doi.pangaea.de/10.1594/PANGAEA.894711</a>). The dataset in this repository represents the original GlobBiomass dataset of AGB from which the official dataset was obtained after averaging from 25 m to 100 m. Given the lower accuracy of the 25 m pixel-based estimates, it is recommended to use the official GlobBiomass dataset unless detailed spatial resolution is a fundamental asset.  Technical specifications are provided in the file README_GLOBBIOMASS_North_America_N_20210428.pdf

opencc-by-4.0Jan 2023View details →

GlobBiomass dataset of forest biomass, North America S (25 m)

The dataset consists of a map of above ground forest biomass (AGB, unit: tons/ha i.e., Mg/ha) of the North American region between 24°N and 50°N for the year 2010 (raster dataset) with a pixel size of 25 m x 25 m. AGB is defined as the mass, expressed as oven-dry weight of the woody parts (stem, bark, branches and twigs) of all living trees excluding stump and roots. Per-pixel estimates of above-ground biomass uncertainty expressed as standard error in Mg/ha (raster dataset) are also provided.  The AGB estimates were obtained from spaceborne SAR (ALOS PALSAR, Envisat ASAR), optical (Landsat-7), LiDAR (ICESAT), auxiliary datasets with multiple estimation procedures (Santoro et al., ESSD, 2021).  In this repository, the AGB data are available in form of tiles of 2° x 2° (bounding box: longitude -180°E/-26°E latitude: 24°N/+54°N). This dataset is the basis for the official GlobBiomass dataset consisting of global estimates of forest biomass with 1 ha pixels (<a href="https://doi.pangaea.de/10.1594/PANGAEA.894711">https://doi.pangaea.de/10.1594/PANGAEA.894711</a>). The dataset in this repository represents the original GlobBiomass dataset of AGB from which the official dataset was obtained after averaging from 25 m to 100 m. Given the lower accuracy of the 25 m pixel-based estimates, it is recommended to use the official GlobBiomass dataset unless detailed spatial resolution is a fundamental asset.  Technical specifications are provided in the file README_GLOBBIOMASS_North_America_S_20210428.pdf

opencc-by-4.0Dec 2022View details →

Bacidia fuscoviridis, another overlooked sorediate crustose lichen widely distributed in temperate eastern North America

To evaluate the generic relationships of Bacidia fuscovirdis within Ramalinaceae we carried out BLASTn searches of the existing reference sequences of B. fuscoviridis in NCBI which recovered representatives of Biatora Ach., Lecania A.Massal. and Mycobilimbia Rhem, as the closest hits for ITS and the lone sequence of rpb2. Based on these results we used the published phylogeny of Ramalinaceae from Kistenich et al. (2018) as a guide and constructed a multi-locus dataset that mirrored their sampling of the clade containing Bilimbia, Lecania and Mycobilimbia with Biatora as an outgroup. We downloaded the mtSSU, ITS, nucLSU and RPB2 sequences used by those authors (see Table 1) and manually aligned each dataset in Mesquite 3.31 (Maddison & Maddison 2017. We then added the available reference sequences of B. fuscoviridis (three ITS sequences, one rpb2 sequence) to the relevant alignment, manually adjusted them, and defined all ambiguously aligned regions and gap-rich terminal regions in an exclusion set. The excluded regions were then manually deleted, terminal gaps transformed to missing data, and uncertainties and polymorphisms transformed to missing data. The alignments were then concatenated in Mesquite and exported a single PHYLIP file. The concatenated alignment was partitioned and RAxML v8.2x (Stamatakis 2006) was used to infer a maximum likelihood (ML) topology and bootstrapping was performed with 500 pseudoreplicates and implementing the model GTRGAMMA across all partitions. The results were visualized in FigTree 1.4.3 (Rambaut 2016). This data deposit includes the underlying files for the phylogeny presented in the published study (Curtis et al., Journal of the Torrey Botanical Society). It includes a translation table for GenBank accessions and terminal names used in the dataset, individual alignments for ITS, mtSSU, nucLSU and rpb2 all in NEXUS format, concatenated alignment in NEXUS and PHYLIP format as well as partitions file for RAxML, and the final tree figure presented in the publication.

(Dataset) Evaluating tomotectonic plate reconstructions using geodynamic models with data assimilation, the case for North America

Dataset for the paper: Evaluating tomotectonic plate reconstructions using geodynamic models with data assimilation, the case for North America For more infomation, please look into the README file or contact ljliu@illinois.edu, thank you!

Fig. 2 in First monotreme from the Late Cretaceous of South America

Fig. 2 Comparisons of the second lower molar of selected monotremaformes in occlusal view. a, Patagorhynchus pascuali (based in MPM-PV-23087); b, Obdurodon insignis2,19; c, Monotrematum sudamericanum17; d, Teinolophus trusleri20. Not to scale. Abbreviations: NC1, neoformation cusp 1.

Fig. 3 in First monotreme from the Late Cretaceous of South America

Fig. 3 Simplified calibrated cladogram showing the phylogenetic affinities of Patagorhynchus pascuali. Basal Monotremaformes44 are indicated in red and Monotremata in green. The Late Cretaceous (Maastrichtian) palaeogeographical map (based in Scotese35) indicates the fossiliferous sites that yielded fossil toothed monotremes and distribution of the extant platypus Ornithorhynchus anatinus shaded in light brown. [1], occurrence of Patagorhynchus pascuali, La Anita farm, Chorrillo Formation (Maastrichtian, Late Cretaceous); [2], occurrence of Monotrematum sudamericanum, Punta Peligro locality, Salamanca Formation (Danian, lower Paleocene); [3], occurrence of Obdurodon spp., different localities from South Australia, Queensland, and New South Wales Oligocene-Pliocene); [4], Pleistocene occurrences and geographic distribution of extant Ornithorhynchus anatinus.

Fig. 1 in First monotreme from the Late Cretaceous of South America

Fig. 1 Images of Patagorhynchus pascuali, MPM-PV-23087. Lower molar 2 and part of the right jaw, in a, occlusal view; b, medial/lingual view; c, lateral/labial view; d, posterior view; e, anterior view. Scale bar: length 2 mm. Abbreviations, ac, anterior cingulid; alv, alveolus; ant, anterior; ar, anterior root; hy, hypoconid; hl, hypoconulid; lapcc, labial posterior cingular cusp; liacc, lingual anterior cingular cusp; me, metaconid; mv, mid-valley; NC1, neomorphic cusp 1; pa, paraconid; pc, posterior cingulid; pr, protoconid; prt, posterior root.

opencc-by-4.0Mar 2023View details →

Bioclimatic outputs for Last Glacial Maximum South America for LPX, bias-corrected to pollen records

LPX model output for South America for the Last Glacial Maximum. We provide outputs for LPX driven by four GCM simulated climates along with an ensemble average: <ul> <li>MIROC.tar.gz: LPX driven by MIROC3.2</li> <li>FGOALS.tar.gz: driven by FGOALS-1.0g</li> <li>HAD.tar.gz: HadCM3M2</li> <li>CNRM.tar.gz: CNRM-CM33</li> <li>Ensemble.tar.gz: The mean of each output variable for the four models.</li> </ul>   Driving data comes from the Palaeoclimate Modelling Intercomparison Project Phase II (PMIP2)1,2. See Sato et al. 3 for modelling protocol. Each model’s directory contains “uncorrected” and “corrected” directories. With each of these are bioclimatic maps outputted from LPX and biome information: <ul> <li>fpc.nc: fractional projected cover of all vegetation</li> <li>height.nc: mean height of vegetations</li> <li>gdd.nc: Growing Degree Days base 2</li> <li>tropical.nc: proportion of vegetated areas taken up by tropical trees and c4 grasses</li> <li>temperate.nc: proportion of vegetated areas taken up by temperate trees and c3 grasses</li> <li>evergreen.nc: proportion of tree cover that is composed of evergreen trees</li> <li>biome.nc: the assigned biomes from these data, based on a modified version of Sato et al. 3. See “biomisation” below.</li> <li>cluster.nc: In “corrected” only. The spatial location of kmean clusters of fpc vs height. See 4 for details.</li> </ul>   “Uncorrected” is from Sato et al. 3. “Corrected” is bias-corrected to match the 42 pollen-core observations taken from Marchant et al. 5 We do this by shifting the total vegetation cover and composition, height, and growing degree day (GDD) DVM output to the closest boundary of the corresponding biome of the pollen core in that specific location. We then extrapolate this correction between pollen-core locations across the Neotropics. See Kelley et al. 4  for details.   Biomeisation "Biomeisation.png" displays the scheme. We primarily split biomes by FPCs of 0.3 and 0.6, with biomes > 0.6 split by a height of 10m. Forests (>0.6 FPC and > 10m) is split by GDD, Evergreen FPC (EG) and Tropical or temperate FPC (TR, TM). Likewise, we split FPCs> 0.6 and heights <10m into savanna, woodland and parkland using EG and TR. We additionally assign Tropical savanna >5m to Woodland/Tropical savanna. We divided desert, dry grassland and (shrub)-tundra by FPC of 0.3 and GDD of 350°C. See Kelley et al. 4 for details.

dryad40/100

Data from: Recent decreases in snow water storage in western North America

We present long-term average and annual Snow Storage Index values over mountainous western North America, intended to represent the snow water storage capacity (and associated change) across the region. The Snow Storage Index represents the temporal phase difference between daily precipitation and surface water inputs – the sum of rainfall and snowmelt into the terrestrial systems – weighted by relative magnitudes. Different from snow water equivalent or snow fraction, the Snow Storage Index represents the degree to which the snowpack delays the timing and magnitude of surface water inputs relative to preciptiation, a fundamental component of how snow water storage influences the hydrologic cycle. Our analysis of a 64-year modeled dataset and 34-year observation dataset shows that the Snow Storage Index has decreased significantly across mountainous, western North America, due primarily to substantially earlier snowmelt and rainfall in spring months, with additional declines in winter precipitation. The Snow Storage Index and associated trends offer a new perspective on hydrologic sensitivity to climate change which have broad implications for water resources and ecosystems.

opencc-zeroMar 2023View details →

FIG. 4 in Nitella sonderi A.Braun (Charales, Charophyceae) - a new record for South America, and first record from outside Australia

FIG. 4. — ML phylogenetic tree inferred in PAUP with GTR + I + G nucleotide substitution model from 66 rbcL sequences of Nitella C.Agardh. Support (ML/BI, BP ≥ 50% and PP ≥ 0.95) are given above/below the branches. Branches with 100% BP, 1.00 PP and sequences obtained for this study are shown in boldface. The branch leading to the outgroup was reduced by three quarters in length. Clade designation is according to Sakayama (2008).

FIG. 5 in Nitella sonderi A.Braun (Charales, Charophyceae) - a new record for South America, and first record from outside Australia

FIG. 5. – ML phylogenetic tree inferred in PAUP with GTR + I + G nucleotide substitution model from 56 ITS sequences of Nitella C.Agardh. Support (ML/BI, BP ≥ 50% and PP ≥ 0.95) are given above/below the branches. Branches with 100% BP, 1.00 PP and sequences obtained for this study are shown in boldface. The branch leading to the outgroup was reduced by 50% in length. Clade designation is according to Sakayama (2008).

FIG. 2 in Nitella sonderi A.Braun (Charales, Charophyceae) - a new record for South America, and first record from outside Australia

FIG. 2. – Male plants of Nitella sonderi A.Braun from Argentina (LE): A, whorl of sterile branchlets; B, sterile branchlet; C, apex with whorls of fertile branchlets forming lax head; D, lax apical head consisting of fertile branchlets, embedded in mucilage 3-furcate "prolification" looking as a fertile branchlet without a central secondary ray from the lateral tertiary ray at the furcation of the central secondary ray (double arrowhead); E, last furcations of fertile branchlets with long straight dactyls; F, fertile branchlet with antheridia obviously unequal each other; G, mucilage cover of fertile branchlet (double arrowhead), mucilage cover of branchlet primary ray; H, antheridia at last furcations of branchlet surrounded with short dactyls, arcuate at their basal parts. Note: A-C, arrowheads represent central secondary ray; D, F, G, arrowheads represent surface of mucilage cover. Photos taken by R. Vidal-Russell. Scale bars: A, E, F, 2 mm; B-D, 5 mm; G, H, 1 mm.

FIG. 3 in Nitella sonderi A.Braun (Charales, Charophyceae) - a new record for South America, and first record from outside Australia

FIG. 3. – Male plants of Nitella sonderi A.Braun from Argentina (LE): A, B, cells extending from the node at the base of the lowest branchlet cell at different focus (arrowheads at A); C-E, shortly narrowing ends of bicellulate dactyls with discoloured tiny confluent end cells having thickened cell walls at the tip; F, end of dactyl after loss of end cell; G, H, triangular shields of antheridia. All photos taken by R. E. Romanov, but H by R. Vidal-Russell. Scale bars: 100 μm.

FIG. 1 in Nitella sonderi A.Braun (Charales, Charophyceae) - a new record for South America, and first record from outside Australia

FIG. 1. – Apical parts of Nitella sonderi A.Braun from Argentina with sterile and fertile whorls (LE). Note: arrowhead, sterile whorls; double arrowhead, fertile whorls of male plants. Photo taken by R. E. Romanov. Scale bar: 1 cm.

opencc-by-4.0May 2023View details →

Supplemental Tables that will be submitted with Hydrothermal Seepage of Altered Crustal Formation Water Seaward of the Middle America Trench, Offshore Costa Rica

This spreadsheet will be submitted to JGR Solid Earth with a manuscrpt titled "Hydrothermal Seepage of Altered Crustal Formation Water Seaward of the Middle America Trench, Offshore Costa Rica" by Parsons et al.  Keywords include Ridge flank, hydrothermal, Middle American Trench, hydrogeology, formation water, and pore water. Three short highlights include: Pore water chemical profiles reveal sediment diagenesis and seepage speeds up to 1.7 cm yr-1 resulting in a net flux of 0.1 L s-1. Crustal formation water is warm (~75ºC) and chemically altered, stemming from water-basalt reactions and diffusive exchange with pore water. This ridge-flank hydrothermal system is not hydrologically connected to the ventilated crust to the west or the trench to the east.