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.
29
datasets available to search
ShareScore release 0.9.0
Dataset results
29 results for “DeliCS”
Text-fig. 20. Synchrotron radiation X-ray tomographic microscopy (SRXTM, a) and scanning electron microscope (SEM, b–h) images of fruits of Appomattoxia sp. (a–d) and anther and pollen of Goczania rugosa (e–h); Catefica locality, Portugal. a) Surface rendering of fruit in lateral view showing densely spaced hairs, some with delicate coiled tips; b) Fruit in lateral view showing short, densely spaced hairs and apical stigmatic region; c, d) Detail of fruit surface and hairs from fruit in (b); e) Fragmentary anther showing four pollen sacs; f) Proximal view of pollen grains from an abraded anther showing microechinate surface of pollen wall and clusters of small, spiny orbicules; g, h) Proximal (g) and distal (h) views of pollen grains from an isolated pollen sac, showing short colpus (h), tectate pollen wall and microechinate surface ornamentation. Specimens, Catefica 49-S174913 (a), Catefica 49-S107794 (b–d), Catefica 50-S170391 (e), Catefica 49-S170138 (f), Catefica 49-S170143 (g, h). Scale bars = 300 Μm (a, b, e), 100 Μm (c), 50 Μm (d), 6 Μm (f–h). in The Early Cretaceous Mesofossil Flora Of Catefica, Portugal: Angiosperms
Text-fig. 20. Synchrotron radiation X-ray tomographic microscopy (SRXTM, a) and scanning electron microscope (SEM, b–h) images of fruits of Appomattoxia sp. (a–d) and anther and pollen of Goczania rugosa (e–h); Catefica locality, Portugal. a) Surface rendering of fruit in lateral view showing densely spaced hairs, some with delicate coiled tips; b) Fruit in lateral view showing short, densely spaced hairs and apical stigmatic region; c, d) Detail of fruit surface and hairs from fruit in (b); e) Fragmentary anther showing four pollen sacs; f) Proximal view of pollen grains from an abraded anther showing microechinate surface of pollen wall and clusters of small, spiny orbicules; g, h) Proximal (g) and distal (h) views of pollen grains from an isolated pollen sac, showing short colpus (h), tectate pollen wall and microechinate surface ornamentation. Specimens, Catefica 49-S174913 (a), Catefica 49-S107794 (b–d), Catefica 50-S170391 (e), Catefica 49-S170138 (f), Catefica 49-S170143 (g, h). Scale bars = 300 Μm (a, b, e), 100 Μm (c), 50 Μm (d), 6 Μm (f–h).
Text-fig. 2. Light micrographs of Pinus spp. cuticles prepared with the modified, gentle bleaching procedure. a: Cuticle 1, Pinus sp. 1. Nearly the entire width of the leaf has been preserved. Five parallel rows of stomata are visible. b: Cuticle 1, close-up of (a). Two guard cells are visible around each stoma. c: Cuticle 1, close-up of eight stomata. Two guard cells and eight subsidiary cells are visible around each stoma. d: Cuticle 2, Pinus sp. 2. Some folding of the cuticle occurred during preparation, but many parallel rows of stomata on both sides of a thin, central midvein are evident. e: Cuticle 2, close-up of (d). Pairs of guard cells surround each stoma. f: Cuticle 2, close-up of (e). Subsidiary and epithelial cells can be observed around the stomata. in A Modified, Step-By-Step Procedure For The Gentle Bleaching Of Delicate Fossil Leaf Cuticles
Text-fig. 2. Light micrographs of Pinus spp. cuticles prepared with the modified, gentle bleaching procedure. a: Cuticle 1, Pinus sp. 1. Nearly the entire width of the leaf has been preserved. Five parallel rows of stomata are visible. b: Cuticle 1, close-up of (a). Two guard cells are visible around each stoma. c: Cuticle 1, close-up of eight stomata. Two guard cells and eight subsidiary cells are visible around each stoma. d: Cuticle 2, Pinus sp. 2. Some folding of the cuticle occurred during preparation, but many parallel rows of stomata on both sides of a thin, central midvein are evident. e: Cuticle 2, close-up of (d). Pairs of guard cells surround each stoma. f: Cuticle 2, close-up of (e). Subsidiary and epithelial cells can be observed around the stomata.
Text-fig. 1. Step-by-step, modified procedure for the gentle preparation of delicate Miocene conifer cuticles for microscopy. in A Modified, Step-By-Step Procedure For The Gentle Bleaching Of Delicate Fossil Leaf Cuticles
Text-fig. 1. Step-by-step, modified procedure for the gentle preparation of delicate Miocene conifer cuticles for microscopy.
DeliCS Training+Validation Data - SPI-TGAS-MRF+GRE
<p>This data set consists of raw MRI k-space data from 12 healthy volunteers. The data were acquired on a 3T Premier MRI scanner (GE Healthcare, Waukesha, WI) with a 48-channel head receiver-coil. The raw data was saved as numpy-arrays to remove any potentially identifying meta-data, and to work in the reconstruction pipeline presented in [1]. </p> <p>SPI-TGAS-MRF (files named <strong>raw_mrf.npy</strong>):</p> <p>The acquisition consists of an initial adiabatic inversion pulse followed by a 500 TR long readout train (TI/TE/TR = 20/0.7/12ms) with varying flip angles (10 to 75 degrees) and a rotating 3D center-out spiral trajectory. 48 repeats of the TR train are used for a 6 min acquisition. Details available in [2]. The data shape is: (2000, 48, 24000) = (data along spiral readout, number of receive channels, number of spirals across 500 TR's and 48 repeats)</p> <p>GRE (files named <strong>raw_gre.npy</strong>):</p> <p>A 20 second, low resolution (6.9 mm isotropic) gradient echo (GRE) pre-scan with a large FOV of 440x440x440mm^3. The data shape is: (64, 48, 4096) = (data along readout, number of receive channels, number of phase encode lines (64x64))</p> <p>Noise estimation (files named <strong>noise.npy</strong>):</p> <p>Data from a noise scan acquired using all receive channels to calculate the noise coherence matrix. The data shape is: (48, 4096) = (number of receive channels, noise measurement points)</p> <p>To run the processing pipeline presented in [1], please follow the instructions on <a href="http://github.com/SetsompopLab/deli-cs">https://github.com/SetsompopLab/deli-cs</a> and download Zenodo datasets <a href="https://doi.org/10.5281/zenodo.7734431">10.5281/zenodo.7734431</a> and <a href="http://doi.org/10.5281/zenodo.7703200">10.5281/zenodo.7703200</a> with testing data and meta data needed for the reconstruction pipeline.</p> <p> </p> <p>[1] Iyer S, Schauman S, Sandino C, et al. Deep Learning Initialized Compressed Sensing (Deli-CS) in Volumetric Spatio-Temporal Subspace Reconstruction. <em>BioRxiv: </em><a href="https://www.biorxiv.org/content/10.1101/2023.03.28.534431v1">https://www.biorxiv.org/content/10.1101/2023.03.28.534431v1</a></p> <p>[2] Cao, X, Liao, C, Iyer, SS, et al. Optimized multi-axis spiral projection MR fingerprinting with subspace reconstruction for rapid whole-brain high-isotropic-resolution quantitative imaging. <em>Magn Reson Med</em>. 2022; 88: 133- 150. doi:<a href="https://doi.org/10.1002/mrm.29194">10.1002/mrm.29194</a></p>
DeliCS Preprocessed Data
<p>This data set consists of pre-processed MRI data as presented in <em>Deep Learning Initialized Compressed Sensing (Deli-CS) in Volumetric Spatio-Temporal Subspace Reconstruction </em>[1]. By downloading this dataset you will be able to re-create the figures presented in the paper using the code available on: <a href="http://github.com/SetsompopLab/deli-cs">https://github.com/SetsompopLab/deli-cs</a> .</p> <p>Each tarball named <strong>caseXXX_preprocessed.tar.gz</strong> contains data related to that subject:</p> <ul> <li><strong>deli_2min.npy</strong> is the DL genrated initial reconstruction.</li> <li><strong>init_adj_2min.npy</strong> is the inital gridding reconstructions.</li> <li><strong>ref_2min.npy</strong> is the reference LLR reconstruction (not initialized with deliCS).</li> <li><strong>ref_6min.npy</strong> is the reference LLR reconstruction using 6 min of MRF acquisition. This is considered gold standard - NOT AVAILABLE FOR TEST CASES 002-004, which are acquired in the clinic.</li> <li><strong>refine_2min_iters_20.npy </strong>is the reconstruction from the full proposed deliCS pipeline.</li> <li><strong>T1... .npy </strong>are T1 maps from various matching reconstructions</li> <li><strong>T2... .npy </strong>are T2 maps from various matching reconstructions</li> </ul> <p>Additionally, the tarball named <strong>bartcompare.tar.gz </strong>contains the <strong>ref_2min.npy </strong>density compensated Sigpy reconstruction along with <strong>bartrecon_2min.cfl </strong>and <strong>bartrecon_2min.hdr</strong>, which are the non-density compensated Bart reconstructions shown in figure 3 in [1].</p> <p>Furthermore, meta-data needed to process the data as presented in [1] are included. Some of the figure generation code requires the subspace basis and dictionary to perform dictionary matching on the fly. The tarball <strong>shared.tar.gz</strong> contains:</p> <ul> <li>the k-space trajectory for 2 min data (<strong>traj_grp16_inacc2.mat</strong>)</li> <li>the k-space trajectory for 6 min data (<strong>traj_grp48_inacc1.mat</strong>)</li> <li>the density compensation function for each trajectory (<strong>dcf_2min.npy</strong> and <strong>dcf_6min.npy</strong>)</li> <li>the subspace basis (<strong>phi.mat</strong>)</li> <li>the dictionary (<strong>dictionary.mat</strong>)</li> <li>a scaling factor for the deli reconstruction (<strong>deli_scaling_2min.npy</strong>)</li> </ul> <p> </p> <p>[1] Iyer S, Schauman S, Sandino C, et al. Deep Learning Initialized Compressed Sensing (Deli-CS) in Volumetric Spatio-Temporal Subspace Reconstruction. <em>BioRxiv: </em><a href="https://www.biorxiv.org/content/10.1101/2023.03.28.534431v1">https://www.biorxiv.org/content/10.1101/2023.03.28.534431v1</a></p>
Speciation across biomes: rapid diversification with reproductive isolation in the Australian delicate mice
<p><span>Phylogeographic studies of continental clades, especially when combined with palaeoclimate modelling, provide powerful insight into how environment drives speciation across climatic contexts. Australia, a continent characterized by disparate modern biomes and dynamic climate change, is a model system for reconstructing the impact of past and present environments on diversification. Here we use genomic-scale data (1310 exons and whole mitogenomes from n = 111 samples) to investigate Pleistocene diversification, cryptic diversity, and secondary contact in the Australian delicate mice (Hydromyini: <em>Pseudomys</em>), a recent radiation spanning almost all Australian environments. Across northern Australia, we find no evidence for </span><span>introgression between cryptic lineages within <em>Pseudomys</em> <em>delicatulus</em> sensu lato, with palaeoclimate models supporting contraction and expansion of suitable habitat since the last glacial maximum. Despite multiple contact zones, we also find little evidence of introgression at a continental scale, with the exception of a potential hybrid zone in the mesic biome. In the arid zone, combined insights from genetic data and palaeomodels support a recent expansion in the arid specialist <em>P. hermannsburgensis</em>, and contraction in the semi-arid <em>P. bolami</em>. In the face of repeated secondary contact, differences in sperm morphology and chromosomal rearrangements are potential mechanisms that maintain species boundaries in these recently diverged species. Additionally, we describe the western delicate mouse as a new species and recommend taxonomic reinstatement of the eastern delicate mouse. Overall, we show that speciation in an evolutionarily </span><span>young and widespread clade has </span><span>been</span><span> driven by environmental change, and potentially maintained by divergence in reproductive morphology and chromosome rearrangements. </span></p>
FIGURE 2 in Scanning Electron Microscopy Vouchers And Genomic Data From An Individual Specimen: Maximizing The Utility Of Delicate And Rare Specimens
FIGURE 2: Image of agarose gel showing bright bands representing positive amplification of COI. A – Erythraeus sp; B – Trichosmaris sp; C – Raoiella indica; - negative control.
FIGURE 3 in Scanning Electron Microscopy Vouchers And Genomic Data From An Individual Specimen: Maximizing The Utility Of Delicate And Rare Specimens
FIGURE 3: Images (40X) of slide mounted Raoiella indica specimen (dorsal view on left, ventral view on right) after LTSEM imaging, DNA extraction, and KOH soak.
DeliCS Testing Data + DL Checkpoints - SPI-TGAS-MRF+GRE
<p>This data set consists of raw MRI k-space data from 3 healthy volunteers (train_case000, test_case000, and test_case001) and 3 patients (test_case002, test_case003, and test_case004). The data were acquired on a 3T Premier MRI scanners (GE Healthcare, Waukesha, WI) with 48-channel head receiver-coils. The raw data was saved as numpy-arrays to remove any potentially identifying meta-data, and to work in the reconstruction pipeline presented in [1]. </p> <p>Each case tarball contains three files: <strong>raw_mrf.npy, gre_mrf.npy, noise.npy</strong></p> <p>SPI-TGAS-MRF (files named <strong>raw_mrf.npy</strong>):</p> <p>The acquisition consists of an initial adiabatic inversion pulse followed by a 500 TR long readout train (TI/TE/TR = 20/0.7/12ms) with varying flip angles (10 to 75 degrees) and a rotating 3D center-out spiral trajectory. 48 repeats of the TR train are used for a 6 min acquisition. Details available in [2]. The data shape is: (2000, 48, 24000) = (data along spiral readout, number of receive channels, number of spirals across 500 TR's and 48 repeats)</p> <p>GRE (files named <strong>raw_gre.npy</strong>):</p> <p>A 20 second, low resolution (6.9 mm isotropic) gradient echo (GRE) pre-scan with a large FOV of 440x440x440mm^3. The data shape is: (64, 48, 4096) = (data along readout, number of receive channels, number of phase encode lines (64x64))</p> <p>Noise estimation (files named <strong>noise.npy</strong>):</p> <p>Data from a noise scan acquired using all receive channels to calculate the noise coherence matrix. The data shape is: (48, 4096) = (number of receive channels, noise measurement points)</p> <ul> </ul> <p>Finally, <strong>checkpoints.tar.gz</strong> contains the pre-trained weights used for the deliCS network.</p> <p> </p> <p>[1] Iyer S, Schauman S, Sandino C, et al. Deep Learning Initialized Compressed Sensing (Deli-CS) in Volumetric Spatio-Temporal Subspace Reconstruction. <em>BioRxiv: </em><a href="https://www.biorxiv.org/content/10.1101/2023.03.28.534431v1">https://www.biorxiv.org/content/10.1101/2023.03.28.534431v1</a></p> <p>[2] Cao, X, Liao, C, Iyer, SS, et al. Optimized multi-axis spiral projection MR fingerprinting with subspace reconstruction for rapid whole-brain high-isotropic-resolution quantitative imaging. <em>Magn Reson Med</em>. 2022; 88: 133- 150. doi:<a href="https://doi.org/10.1002/mrm.29194">10.1002/mrm.29194</a></p>
Speciation across biomes: rapid diversification with reproductive isolation in the Australian delicate mice
Open the record for dataset details and reuse information.
On following pages: 289. Sinaloan Deermouse (Peromyscus simulus); 290. Brush Deermouse (Peromyscus boylii); 291. Durango Deermouse (Peromyscus schmidlyi); 292. Nimble-footed Deermouse (Peromyscus levipes); 293. Carleton''s Deermouse (Peromyscus carletoni); 294. Kilpatrick's Deermouse (Peromyscus kilpatricki); 295. Orizaba Deermouse (Peromyscus beatae); 296. Gleaning Deermouse (Peromyscus spicilegus); 297. Coalcoman Deermouse (Peromyscus winkelmanni); 298. Oaxacan Deermouse (Peromyscus oaxacensis), 299. Transvolcanic Deermouse (Peromyscus hylocetes); 300. Aztec Deermouse (Peromyscus aztecus); 301. Northern White-ankled Deermouse (Peromyscus laceianus); 302. Southern White-ankled Deermouse (Peromyscus pectoralis); 303. Saxicoline Deermouse (Peromyscus gratus);, 304. El Carrizo Deermouse (Peromyscus ochraventer); 305. Chihuahuan Deermouse (Peromyscus polius); 306. Pinyon Deermouse (Peromyscus truei); 307 Texas Deermouse (Peromyscus attwateri); 308. Northern Rock Deermouse (Peromyscus nasutus); 309. Southern Rock Deermouse (Peromyscus difficilis); 310. Perote Deermouse (Peromyscus bullatus); 311. Thomas's Big-toothed Deermouse (Megadontomys thomas); 312. Oaxacan Big-toothed Deermouse (Megadontomys cryophilus); 313. Nelson's Big-toothed Deermouse (Megadontomys nelsoni); 314. Xico Deermouse (Habromys simulatus); 315. Delicate Deermouse (Habromys delicatulus); 316. Schmidly''s Deermouse (Habromys schmidlyi); 317. Ixtlan Deermouse (Habromys ixtlani); 318. Chinanteco Deermouse (Habromys chinanteco); 319. Zempoaltepec Deermouse (Habromys lepturus); 320. Crested-tailed Deermouse (Habromys lophurus). in Cricetidae
On following pages: 289. Sinaloan Deermouse (Peromyscus simulus); 290. Brush Deermouse (Peromyscus boylii); 291. Durango Deermouse (Peromyscus schmidlyi); 292. Nimble-footed Deermouse (Peromyscus levipes); 293. Carleton''s Deermouse (Peromyscus carletoni); 294. Kilpatrick's Deermouse (Peromyscus kilpatricki); 295. Orizaba Deermouse (Peromyscus beatae); 296. Gleaning Deermouse (Peromyscus spicilegus); 297. Coalcoman Deermouse (Peromyscus winkelmanni); 298. Oaxacan Deermouse (Peromyscus oaxacensis), 299. Transvolcanic Deermouse (Peromyscus hylocetes); 300. Aztec Deermouse (Peromyscus aztecus); 301. Northern White-ankled Deermouse (Peromyscus laceianus); 302. Southern White-ankled Deermouse (Peromyscus pectoralis); 303. Saxicoline Deermouse (Peromyscus gratus);, 304. El Carrizo Deermouse (Peromyscus ochraventer); 305. Chihuahuan Deermouse (Peromyscus polius); 306. Pinyon Deermouse (Peromyscus truei); 307 Texas Deermouse (Peromyscus attwateri); 308. Northern Rock Deermouse (Peromyscus nasutus); 309. Southern Rock Deermouse (Peromyscus difficilis); 310. Perote Deermouse (Peromyscus bullatus); 311. Thomas's Big-toothed Deermouse (Megadontomys thomas); 312. Oaxacan Big-toothed Deermouse (Megadontomys cryophilus); 313. Nelson's Big-toothed Deermouse (Megadontomys nelsoni); 314. Xico Deermouse (Habromys simulatus); 315. Delicate Deermouse (Habromys delicatulus); 316. Schmidly''s Deermouse (Habromys schmidlyi); 317. Ixtlan Deermouse (Habromys ixtlani); 318. Chinanteco Deermouse (Habromys chinanteco); 319. Zempoaltepec Deermouse (Habromys lepturus); 320. Crested-tailed Deermouse (Habromys lophurus).
On following pages: 729. Narrow-nasal Leaf-eared Mouse (Phyllotis stenops); 730. Pearson's Leaf-eared Mouse (Phyllotis pearson); 731. Western Leaf-eared Mouse (Phyllotis occidens); 732. Ancash Leaf-eared Mouse definitus); 733. Lima Leaf-eared Mouse (Phyllotis limatus); 734. Master Leaf-eared Mouse (Phyllotis magisten); 735. Yellow-rumped Leaf-eared Mouse (Phyllotis xanthopygus); 736. Osgood's Leaf-eared Mouse (Phyllotis (Phyllotis osgoodi); 737. Bunch Grass Leaf-eared Mouse (Phyllotis osilae); 738. Capricorn Leaf-eared Mouse (Phyllotis caprinus); 739. Tucuman Leaf-eared Mouse (Phyllotis tucumanus); 740. Walnut Leaf-eared Mouse (Phyllotis nogalaris); 741. Darwin's Leaf-eared Mouse (Phyllotis darwinii); 742. Los Alisos Leaf-eared Mouse (Phyllotis alisosiensis); 743. Anita's Leaf-eared Mouse (Phyllotis anitae); 744. Bonarian Leaf-eared Mouse (Phyllotis bonariensis), 745. Wolffsohn's Leaf-eared Mouse (Tapecomys wolffsohni); 746. Tapecua Leaf-eared Mouse (Tapecomys primus); 747. Southern Big-eared Mouse (Loxodontomys micropus); 748. Delicate Salt Flat Mouse (Salinomys delicatus), 749. Pearson's Chaco Mouse (Andalgalomys pearson); 750. Olrog's Chaco Mouse (Andalgalomys olrogi); 751. Garlepp's Mouse (Galenomys garleppi); 752. Painted Big-eared Mouse (Auliscomys pictus); 753. Bolivian Bigeared Mouse (Auliscomys boliviensis); 754. Andean Big-eared Mouse (Auliscomys sublimis); 7565. Sumichrast's Vesper Rat (Nyctomys sumichrasti); 756. Yucatan Vesper Rat (Otonyctomys hatt); 757. Big-eared Climbing Rat (Ototylomys phyllotis); 758. La Pera Climbing Rat (Ototylomys chiapensis); 759. Peters's Climbing Rat (Tylomys nudicaudus): 760. Chiapan Climbing Rat (Tylomys bullaris); 761. Tumbala Climbing Rat (Tylomys tumbalensis); 762. Watson's Climbing Rat (Tylomys watson); 763. Fulvous-bellied Climbing Rat (Tylomys fulviventen; 764. Panama Climbing Rat (Tylomys panamensis); 765. Mira Climbing Rat (Tylomys mirae). in Cricetidae
On following pages: 729. Narrow-nasal Leaf-eared Mouse (Phyllotis stenops); 730. Pearson's Leaf-eared Mouse (Phyllotis pearson); 731. Western Leaf-eared Mouse (Phyllotis occidens); 732. Ancash Leaf-eared Mouse definitus); 733. Lima Leaf-eared Mouse (Phyllotis limatus); 734. Master Leaf-eared Mouse (Phyllotis magisten); 735. Yellow-rumped Leaf-eared Mouse (Phyllotis xanthopygus); 736. Osgood's Leaf-eared Mouse (Phyllotis (Phyllotis osgoodi); 737. Bunch Grass Leaf-eared Mouse (Phyllotis osilae); 738. Capricorn Leaf-eared Mouse (Phyllotis caprinus); 739. Tucuman Leaf-eared Mouse (Phyllotis tucumanus); 740. Walnut Leaf-eared Mouse (Phyllotis nogalaris); 741. Darwin's Leaf-eared Mouse (Phyllotis darwinii); 742. Los Alisos Leaf-eared Mouse (Phyllotis alisosiensis); 743. Anita's Leaf-eared Mouse (Phyllotis anitae); 744. Bonarian Leaf-eared Mouse (Phyllotis bonariensis), 745. Wolffsohn's Leaf-eared Mouse (Tapecomys wolffsohni); 746. Tapecua Leaf-eared Mouse (Tapecomys primus); 747. Southern Big-eared Mouse (Loxodontomys micropus); 748. Delicate Salt Flat Mouse (Salinomys delicatus), 749. Pearson's Chaco Mouse (Andalgalomys pearson); 750. Olrog's Chaco Mouse (Andalgalomys olrogi); 751. Garlepp's Mouse (Galenomys garleppi); 752. Painted Big-eared Mouse (Auliscomys pictus); 753. Bolivian Bigeared Mouse (Auliscomys boliviensis); 754. Andean Big-eared Mouse (Auliscomys sublimis); 7565. Sumichrast's Vesper Rat (Nyctomys sumichrasti); 756. Yucatan Vesper Rat (Otonyctomys hatt); 757. Big-eared Climbing Rat (Ototylomys phyllotis); 758. La Pera Climbing Rat (Ototylomys chiapensis); 759. Peters's Climbing Rat (Tylomys nudicaudus): 760. Chiapan Climbing Rat (Tylomys bullaris); 761. Tumbala Climbing Rat (Tylomys tumbalensis); 762. Watson's Climbing Rat (Tylomys watson); 763. Fulvous-bellied Climbing Rat (Tylomys fulviventen; 764. Panama Climbing Rat (Tylomys panamensis); 765. Mira Climbing Rat (Tylomys mirae).
On following pages: 700. Arequipa Vesper Mouse (Calomys achaku); 701. Long-tailed Vesper Mouse (Calomys frida); 702. Andean Vesper Mouse (Calomys lepidus); 703. Drylands Vesper Mouse (Calomys musculinus); 704. Hummelinck's Vesper Mouse (Calomys hummelincki); 705. Delicate Vesper Mouse (Calomys tenen; 706. Small Vesper Mouse (Calomys laucha); 707. Rejected Vesper Mouse (Calomys expulsus); 708. Tocantins Vesper Mouse (Calomys tocantinsi); 709. Large Vesper Mouse (Calomys callosus); 710. Crafty Vesper Mouse (Calomys callidus); 711. Bolivian Vesper Mouse (Calomys boliviae); 712. Cordoba Vesper Mouse (Calomys venustus), 713. Cerqueira's Vesper Mouse (Calomys cerqueirai); 714. Hairy-footed Gerbil Mouse (Eligmodontia hirtipes); 715. Andean Gerbil Mouse (Eligmodontia puerulus); 716. Bolson Gerbil Mouse (Eligmodontia bolsonensis); 717. Lowland Gerbil Mouse (Eligmodontia typus); 718. Dune Gerbil Mouse (Eligmodontia dunaris); 719. Monte Gerbil Mouse (Eligmodontia moreni); 720. Morgan's Gerbil Mouse (Eligmodontia morgani); 721. Pale Pericote (Graomys domorum); 722. Chaco Pericote (Graomys chacoensis); 723. Otro Cerro Pericote (Graomys edithae); 724. Common Pericote (Graomys griseoflavus). in Cricetidae
On following pages: 700. Arequipa Vesper Mouse (Calomys achaku); 701. Long-tailed Vesper Mouse (Calomys frida); 702. Andean Vesper Mouse (Calomys lepidus); 703. Drylands Vesper Mouse (Calomys musculinus); 704. Hummelinck's Vesper Mouse (Calomys hummelincki); 705. Delicate Vesper Mouse (Calomys tenen; 706. Small Vesper Mouse (Calomys laucha); 707. Rejected Vesper Mouse (Calomys expulsus); 708. Tocantins Vesper Mouse (Calomys tocantinsi); 709. Large Vesper Mouse (Calomys callosus); 710. Crafty Vesper Mouse (Calomys callidus); 711. Bolivian Vesper Mouse (Calomys boliviae); 712. Cordoba Vesper Mouse (Calomys venustus), 713. Cerqueira's Vesper Mouse (Calomys cerqueirai); 714. Hairy-footed Gerbil Mouse (Eligmodontia hirtipes); 715. Andean Gerbil Mouse (Eligmodontia puerulus); 716. Bolson Gerbil Mouse (Eligmodontia bolsonensis); 717. Lowland Gerbil Mouse (Eligmodontia typus); 718. Dune Gerbil Mouse (Eligmodontia dunaris); 719. Monte Gerbil Mouse (Eligmodontia moreni); 720. Morgan's Gerbil Mouse (Eligmodontia morgani); 721. Pale Pericote (Graomys domorum); 722. Chaco Pericote (Graomys chacoensis); 723. Otro Cerro Pericote (Graomys edithae); 724. Common Pericote (Graomys griseoflavus).
On following pages: 423. Tate's Rice Rat (Hylaeamystate); 424. Sowbug Rice Rat (Hylaeamys oniscus); 425. Bolivian Rice Rat (Hylaeamys acritus); 426. Atlantic Forest Rice Rat (Hylaeamys laticeps); 427. Fulvous Pygmy Rice Rat (Oligoryzomys fulvescens); 428. Costa Rican Pygmy Rice Rat (Oligoryzomys costaricensis); 429. Sprightly Pygmy Rice Rat (Oligoryzomys vegetus); 430. Delicate Pygmy Rice Rat (Oligoryzomys delicatus); 431. Grayish Pygmy Rice Rat (Oligoryzomys griseolus); 432. Hairy Pygmy Rice Rat (Oligoryzomys messorius); 433. Tschudi''s Pygmy Rice Rat (Oligoryzomys destructor); 434. Sandy Pygmy Rice Rat (Oligoryzomys arenalis); 435. Andean Pygmy Rice Rat (Oligoryzomys andinus); 436. Small-eared Pygmy Rice Rat (Oligoryzomys microtis); 437. Utiariti Pygmy Rice Rat (Oligoryzomys utiaritensis); 438. Straw-colored Pygmy Rice Rat (Oligoryzomys stramineus); 439. Mato Grosso Pygmy Rice Rat (Oligoryzomys mattogrossae); 440. Moojen's Pygmy Rice Rat (Oligoryzomys moojeni); 441. Highlands Pygmy Rice Rat (Oligoryzomys rupestris); 442. Black-footed Pygmy Rice Rat (Oligoryzomys nigripes); 443. San Javier's Pygmy Rice Rat (Oligoryzomys brendae); 444. Chacoan Pygmy Rice Rat (Oligoryzomys chacoensis); 445. Fornes's Pygmy Rice Rat (Oligoryzomys fornesi); 446. Yellow Pygmy Rice Rat (Oligoryzomys flavescens); 447. Long-tailed Pygmy Rice Rat (Oligoryzomys longicaudatus); 448. Painted Bristly Mouse (Neacomys pictus); 449. Narrow-footed Bristly Mouse (Neacomys tenuipes); 450. Guianan Bristly Mouse (Neacomys guianae); 451. Paracou Bristly Mouse (Neacomys paracou); 452. Dubost's Bristly Mouse (Neacomys dubosti); 453. Large Bristly Mouse (Neacomys spinosus); 454. Pleasant Bristly Mouse (Neacomys amoenus), 455. Vargas Llosa''s Bristly Mouse (Neacomys vargasllosai); 456. Minute Bristly Mouse (Neacomys minutus); 457. Musser's Bristly Mouse (Neacomys musseri). in Cricetidae
On following pages: 423. Tate's Rice Rat (Hylaeamystate); 424. Sowbug Rice Rat (Hylaeamys oniscus); 425. Bolivian Rice Rat (Hylaeamys acritus); 426. Atlantic Forest Rice Rat (Hylaeamys laticeps); 427. Fulvous Pygmy Rice Rat (Oligoryzomys fulvescens); 428. Costa Rican Pygmy Rice Rat (Oligoryzomys costaricensis); 429. Sprightly Pygmy Rice Rat (Oligoryzomys vegetus); 430. Delicate Pygmy Rice Rat (Oligoryzomys delicatus); 431. Grayish Pygmy Rice Rat (Oligoryzomys griseolus); 432. Hairy Pygmy Rice Rat (Oligoryzomys messorius); 433. Tschudi''s Pygmy Rice Rat (Oligoryzomys destructor); 434. Sandy Pygmy Rice Rat (Oligoryzomys arenalis); 435. Andean Pygmy Rice Rat (Oligoryzomys andinus); 436. Small-eared Pygmy Rice Rat (Oligoryzomys microtis); 437. Utiariti Pygmy Rice Rat (Oligoryzomys utiaritensis); 438. Straw-colored Pygmy Rice Rat (Oligoryzomys stramineus); 439. Mato Grosso Pygmy Rice Rat (Oligoryzomys mattogrossae); 440. Moojen's Pygmy Rice Rat (Oligoryzomys moojeni); 441. Highlands Pygmy Rice Rat (Oligoryzomys rupestris); 442. Black-footed Pygmy Rice Rat (Oligoryzomys nigripes); 443. San Javier's Pygmy Rice Rat (Oligoryzomys brendae); 444. Chacoan Pygmy Rice Rat (Oligoryzomys chacoensis); 445. Fornes's Pygmy Rice Rat (Oligoryzomys fornesi); 446. Yellow Pygmy Rice Rat (Oligoryzomys flavescens); 447. Long-tailed Pygmy Rice Rat (Oligoryzomys longicaudatus); 448. Painted Bristly Mouse (Neacomys pictus); 449. Narrow-footed Bristly Mouse (Neacomys tenuipes); 450. Guianan Bristly Mouse (Neacomys guianae); 451. Paracou Bristly Mouse (Neacomys paracou); 452. Dubost's Bristly Mouse (Neacomys dubosti); 453. Large Bristly Mouse (Neacomys spinosus); 454. Pleasant Bristly Mouse (Neacomys amoenus), 455. Vargas Llosa''s Bristly Mouse (Neacomys vargasllosai); 456. Minute Bristly Mouse (Neacomys minutus); 457. Musser's Bristly Mouse (Neacomys musseri).
On following pages: 357. Delicate Red-nosed Tree Mouse (Juliomys ossitenuis); 358. Montane Red-rumped Tree Mouse (Juliomys rimofrons); 3569. Araucaria Forest Tree Mouse (Juliomys ximenezi); 360. Ruschi''s Spiny Mouse (Abrawayaomys ruschii); 361. Chebez's Spiny Mouse (Abrawayaomys chebezi); 362. Montane Atlantic Forest Rat (Delomys altimontanus); 363. Pallid Atlantic Forest Rat (Delomys sublineatus); 364. Striped Atlantic Forest Rat (Delomys dorsalis); 365. North-western Conyrat (Reithrodon caurinus); 366. Naked-soled Conyrat (Reithrodon typicus); 367. Hairy-soled Conyrat (Reithrodon auritus); 368. Short-tailed Cane Mouse (Zygodontomys brevicauda); 369. Colombian Cane Mouse (Zygodontomys brunneus); 370. Ucayali South American Spiny Mouse (Scolomys ucayalensis); 371. Gray South American Spiny Mouse (Scolomys melanops); 372. Boquete Rice Rat (Nephelomys devius); 373. Santa Marta Rice Rat (Nephelomys maculiventen; 374. Mount Pirre Rice Rat (Nephelomys pirrensis); 375. Western Colombian Rice Rat (Nephelomys pectoralis); 376. Coastal Cordilleran Rice Rat (Nephelomys caracolus); 377 Merida Rice Rat (Nephelomys meridensis); 378. Child's Rice Rat (Nephelomys child); 379. White-throated Rice Rat (Nephelomys albigularis); 380. Greater Golden-bellied Rice Rat (Nephelomys auriventen; 381. Gray-bellied Rice Rat (Nephelomys moerex); 382. Lesser Golden-bellied Rice Rat (Nephelomys nimbosus); 383. Keays's Rice Rat (Nephelomys keaysi); 384. Nimble-footed Rice Rat (Nephelomys levipes), 385. Hammond's Rice Rat (Mindomys hammond). in Cricetidae
On following pages: 357. Delicate Red-nosed Tree Mouse (Juliomys ossitenuis); 358. Montane Red-rumped Tree Mouse (Juliomys rimofrons); 3569. Araucaria Forest Tree Mouse (Juliomys ximenezi); 360. Ruschi''s Spiny Mouse (Abrawayaomys ruschii); 361. Chebez's Spiny Mouse (Abrawayaomys chebezi); 362. Montane Atlantic Forest Rat (Delomys altimontanus); 363. Pallid Atlantic Forest Rat (Delomys sublineatus); 364. Striped Atlantic Forest Rat (Delomys dorsalis); 365. North-western Conyrat (Reithrodon caurinus); 366. Naked-soled Conyrat (Reithrodon typicus); 367. Hairy-soled Conyrat (Reithrodon auritus); 368. Short-tailed Cane Mouse (Zygodontomys brevicauda); 369. Colombian Cane Mouse (Zygodontomys brunneus); 370. Ucayali South American Spiny Mouse (Scolomys ucayalensis); 371. Gray South American Spiny Mouse (Scolomys melanops); 372. Boquete Rice Rat (Nephelomys devius); 373. Santa Marta Rice Rat (Nephelomys maculiventen; 374. Mount Pirre Rice Rat (Nephelomys pirrensis); 375. Western Colombian Rice Rat (Nephelomys pectoralis); 376. Coastal Cordilleran Rice Rat (Nephelomys caracolus); 377 Merida Rice Rat (Nephelomys meridensis); 378. Child's Rice Rat (Nephelomys child); 379. White-throated Rice Rat (Nephelomys albigularis); 380. Greater Golden-bellied Rice Rat (Nephelomys auriventen; 381. Gray-bellied Rice Rat (Nephelomys moerex); 382. Lesser Golden-bellied Rice Rat (Nephelomys nimbosus); 383. Keays's Rice Rat (Nephelomys keaysi); 384. Nimble-footed Rice Rat (Nephelomys levipes), 385. Hammond's Rice Rat (Mindomys hammond).
On following pages: 610. Tullberg's Soft-furred Mouse (Praomys tullbergi); 611. Jackson's Soft-furred Mouse (Praomys jackson); 612. Lukolela Soft-furred Mouse (Praomys lukolelae); 613. Least Soft-furred Mouse (Praomys minor: 614. Misonne's Soft-furred Mouse (Praomys misonnei); 615. Riverine Soft-furred Mouse (Praomys mutoni); 616. Petter's Soft-furred Mouse (Praomys petteri); 617. Verschuren's Soft-furred Mouse (Praomys verschureni); 618. De Graaff's Soft-furred Mouse (Praomys degraaffi; 619. Delicate Soft-furred Mouse (Praomys delectorum); 620. Coetzee's Soft-furred Mouse (Praomys coetzeei); 621. Yemen Meadow Mouse (Myomyscus yemeni); 622. Brockman''s Meadow Mouse (Myomyscus brockmani); 623. Angolan Meadow Mouse (Myomyscus angolensis); 624. Verreaux's Meadow Mouse (Myomyscus verreauxii); 625. Woosnam's Broad-headed Mouse (Zelotomys woosnami); 626. Hildegarde's Broad-headed Mouse (Zelotomys hildegardeae); 627. Eurasian Harvest Mouse (Micromys minutus). in Muridae
On following pages: 610. Tullberg's Soft-furred Mouse (Praomys tullbergi); 611. Jackson's Soft-furred Mouse (Praomys jackson); 612. Lukolela Soft-furred Mouse (Praomys lukolelae); 613. Least Soft-furred Mouse (Praomys minor: 614. Misonne's Soft-furred Mouse (Praomys misonnei); 615. Riverine Soft-furred Mouse (Praomys mutoni); 616. Petter's Soft-furred Mouse (Praomys petteri); 617. Verschuren's Soft-furred Mouse (Praomys verschureni); 618. De Graaff's Soft-furred Mouse (Praomys degraaffi; 619. Delicate Soft-furred Mouse (Praomys delectorum); 620. Coetzee's Soft-furred Mouse (Praomys coetzeei); 621. Yemen Meadow Mouse (Myomyscus yemeni); 622. Brockman''s Meadow Mouse (Myomyscus brockmani); 623. Angolan Meadow Mouse (Myomyscus angolensis); 624. Verreaux's Meadow Mouse (Myomyscus verreauxii); 625. Woosnam's Broad-headed Mouse (Zelotomys woosnami); 626. Hildegarde's Broad-headed Mouse (Zelotomys hildegardeae); 627. Eurasian Harvest Mouse (Micromys minutus).
On following pages: 534. Macedonian Mouse (Mus macedonicus); 535. Mound-building Mouse (Mus spicilegus); 536. Cypriot Mouse (Mus cypriacus); 537. Ethiopian Striped Mouse (Mus imberbis); 538. Mahomet Mouse (Mus mahomet): 539. Hausa Mouse (Mus haussa); 540. West African Pygmy Mouse (Mus musculoides); 541. Baoule Mouse (Mus baoulei); 542. Matthey's Mouse (Mus mattheyi); 543. Toad Mouse (Mus bufo); 544. Callewaert's Mouse (Mus callewaerti); 545. Gounda Mouse (Mus goundae); 546. Neave's Mouse (Mus neavel); 547. Ubangui Mouse (Mus oubanguii); 548. Peters's Mouse (Mus setulosus); 549. Thomas's Mouse (Mus sorella): 550. Gray-bellied Mouse (Mustriton); 551. Delicate Mouse (Mus tenellus); 552. Desert Pygmy Mouse (Mus indutus); 553. Sub-Saharan Pygmy Mouse (Mus minutoides); 554. Setzer's Mouse (Mus setzeri); 555. Little Indian Field Mouse (Mus booduga); 556. Phillips's Mouse (Mus phillipsi); 557. Flat-haired Mouse (Mus platythrix); 558. Saxicolous Mouse (Mus saxicola); 559. Earth-colored Mouse (Mus terricolon); 560. Servant Mouse (Mus famulus): 561. Ceylon Spiny Mouse (Mus fernandoni); 562. Mayor's Mouse (Mus mayori); 563. Ryukyu Mouse (Mus caroli); 564. Fawn-colored Mouse (Mus cervicolor); 565. Cook's Mouse (Mus cookii); 566. Sheath-tailed Mouse (Mus fragilicauda); 567. Little Burmese Field Mouse (Mus lepidoides); 568. Blyth's Mouse (Mus nitidulus); 569. Indochinese Shrew-like Mouse (Mus pahari); 570. Shortridge's Mouse (Mus shortridgei); 571. Sumatran Shrew-like Mouse (Mus crociduroides); 572. Javan Shrew-like Mouse (Mus vulcani). in Muridae
On following pages: 534. Macedonian Mouse (Mus macedonicus); 535. Mound-building Mouse (Mus spicilegus); 536. Cypriot Mouse (Mus cypriacus); 537. Ethiopian Striped Mouse (Mus imberbis); 538. Mahomet Mouse (Mus mahomet): 539. Hausa Mouse (Mus haussa); 540. West African Pygmy Mouse (Mus musculoides); 541. Baoule Mouse (Mus baoulei); 542. Matthey's Mouse (Mus mattheyi); 543. Toad Mouse (Mus bufo); 544. Callewaert's Mouse (Mus callewaerti); 545. Gounda Mouse (Mus goundae); 546. Neave's Mouse (Mus neavel); 547. Ubangui Mouse (Mus oubanguii); 548. Peters's Mouse (Mus setulosus); 549. Thomas's Mouse (Mus sorella): 550. Gray-bellied Mouse (Mustriton); 551. Delicate Mouse (Mus tenellus); 552. Desert Pygmy Mouse (Mus indutus); 553. Sub-Saharan Pygmy Mouse (Mus minutoides); 554. Setzer's Mouse (Mus setzeri); 555. Little Indian Field Mouse (Mus booduga); 556. Phillips's Mouse (Mus phillipsi); 557. Flat-haired Mouse (Mus platythrix); 558. Saxicolous Mouse (Mus saxicola); 559. Earth-colored Mouse (Mus terricolon); 560. Servant Mouse (Mus famulus): 561. Ceylon Spiny Mouse (Mus fernandoni); 562. Mayor's Mouse (Mus mayori); 563. Ryukyu Mouse (Mus caroli); 564. Fawn-colored Mouse (Mus cervicolor); 565. Cook's Mouse (Mus cookii); 566. Sheath-tailed Mouse (Mus fragilicauda); 567. Little Burmese Field Mouse (Mus lepidoides); 568. Blyth's Mouse (Mus nitidulus); 569. Indochinese Shrew-like Mouse (Mus pahari); 570. Shortridge's Mouse (Mus shortridgei); 571. Sumatran Shrew-like Mouse (Mus crociduroides); 572. Javan Shrew-like Mouse (Mus vulcani).
Mathematica code for "Delicate windows into evaporating black holes"
<p>We provide the Mathematica code to reproduce the numerical and analytical results presented in the paper "Delicate windows into evaporating black holes".</p>
FIGURE 3 in Dichorisandra flesheri (Commelinaceae), a new delicate species from South Bahia, Brazil
FIGURE 3. Species of Dichorisandra with pendulous inflorescences. A. Dichorisandra glabrescens. B. Dichorisandra incurva. C. Dichorisandra penduliflora. D. Dichorisandra nutabilis.
FIGURE 2. Dichorisandra flesheri. A. Habit. B in Dichorisandra flesheri (Commelinaceae), a new delicate species from South Bahia, Brazil
FIGURE 2. Dichorisandra flesheri. A. Habit. B. Stem with sheaths (sh) and inflorescence and its peduncle (pd) in detail. C. Detail of inflorescence showing peduncles (pd) and floral buds (fb) with trichomes (tr) and immature fruit (fr). D. Bisexual flower showing the anthers (an) with style (st), gynoecium, petals (pe) and sepals (se). E. Flower with detail of anthers (an) and style. F. Inflorescence with fruits. G. Detail of fruits showing pubescent, slightly verrucose surface. H. Details of roots and rhizomes (rh) and stem (sm).
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.