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184 results for “Pandas”

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zenodo48/100

Introduction to Ancient Metagenomics Textbook (Edition 2025): Introduction to Python and Pandas

<p>Data and conda software environment file for the chapter &#39;Introduction to Python and Pandas&#39; of the SPAAM Community&#39;s textbook: Introduction to Ancient Metagenomics (https://www.spaam-community.org/intro-to-ancient-metagenomics-book).</p>

opencc-by-4.0Sep 2024View details →
OpenNeuro44/100

Kung Fu Panda

Open the record for dataset details and reuse information.

openCC0Jan 2020View details →
zenodo40/100

Fig. 4 in Graveyards of Giant Pandas at the Bottom of the Sea? A Strange-Looking New Species of Colonial Ascidians in the Genus Clavelina (Tunicata: Ascidiacea)

Fig. 4. Clavelina ossipandae sp. nov., holotype, ICHUM 5837. A, Intestinal loop and gonads, viewed from the right side; B, larva.

opencc-by-4.0Jan 2024View details →
zenodo40/100

Fig. 3 in Graveyards of Giant Pandas at the Bottom of the Sea? A Strange-Looking New Species of Colonial Ascidians in the Genus Clavelina (Tunicata: Ascidiacea)

Fig. 3. Clavelina ossipandae sp. nov., holotype, ICHUM 5837. A, Pharynx opened ventrally; B, enlarged view of a square in A, showing dorsal part of the peripharyngeal area.

opencc-by-4.0Jan 2024View details →
zenodo40/100

Fig. 2 in Graveyards of Giant Pandas at the Bottom of the Sea? A Strange-Looking New Species of Colonial Ascidians in the Genus Clavelina (Tunicata: Ascidiacea)

Fig. 2. Clavelina ossipandae sp. nov., holotype, ICHUM 5837. A, In situ live colony with four zooids; B, a schematic depiction of the colony showing colony organization and zooid insertion; C, D, a single zooid detached from the colony, drawn from the right side (C) and the left side (D).

opencc-by-4.0Jan 2024View details →
zenodo40/100

Fig. 5. A in Graveyards of Giant Pandas at the Bottom of the Sea? A Strange-Looking New Species of Colonial Ascidians in the Genus Clavelina (Tunicata: Ascidiacea)

Fig. 5. A maximum-likelihood tree based on COI sequences (690 bp), showing the phylogenetic position of Clavelina ossipandae sp. nov. among Clavelinidae. Numbers near nodes indicate UF bootstrap values (≥ 50) and posterior probabilities (≥ 0.50).

opencc-by-4.0Jan 2024View details →
zenodo40/100

FIGURE 8 in A late Turolian giant panda from Bulgaria and the early evolution and dispersal of the panda lineage

FIGURE 8. Reconstruction of?A. nikolovi sp. nov. from Bulgaria. Artwork by Velizar Simeonovski, Chicago. The reconstruction was developed by a regressive estimate of the coloration of the modern A. melanoleuca, based on the variation of the coloration of Ursus arctos. Ursus arctos is used for calibration because the variation of its coloration (geographic, ecological, and individual) provides the most comprehensive model for the evolution of the coloration in Ursidae genera.

opencc-by-4.0Jul 2022View details →
zenodo40/100

FIGURE 6 in A late Turolian giant panda from Bulgaria and the early evolution and dispersal of the panda lineage

FIGURE 6. Lower teeth of Agriarctos and Ailurarctos. A, cf. Agriarctos sp. from Gau-Weinheim, m1 and m2 (reversed), from Weitzel and Tobien (1952) and Tobien (1955); B, cf. Ag. depereti from Gau-Weinheim, m1, from Weitzel and Tobien (1952); C, Agriarctos depereti from Melchingen, from top to bottom m1 and m2 (both reversed), from Schlosser (1902), Depéret and Llueca (1928); D, cf. Ag.?depereti from Dorn-Dürkheim 1, from top to bottom m1 and m2 (both reversed), from Roth and Morlo (1997); E, Ai. lufengensis p4, V6892.13 (reversed); F, Ag. vighi, HSGI Ob/ 5691 from Rózsaszentmárton, m1 (reversed), photos courtesy of J. Wagner; G1, Ag. gaali V.60.1751 from Hatvan, from top to bottom p3 and p4, photos courtesy of J. Wagner; G2, Ag. gaali V.60.1751 from Hatvan, from top to bottom m1 and m2, photos courtesy of J. Wagner; H1, Ai. yuanmouensis, from top to bottom m1 (YICRA YV2509.5, reversed) and m2 (YICRA YV2509.4, reversed); H2, Ai. yuanmouensis, from top to bottom m2 (YICRAYV2509.2) and m2 (YICRAYV2509.3, reversed); I1, Ai. lufengensis, from top to bottom m1 (IVPP V6892.9), m3 (IVPP V6892.11, reversed), and m3 (IVPP V6892.10); I2, Ai. lufengensis, from top to bottom m1 (IVPP V25032), m2 (IVPP V6892.10); J1, A. melanoleuca from top to bottom m1 and m2 (IOZ32755, reversed); J2, A. melanoleuca from top to bottom p4 and m3 (IOZ32755, reversed). Not to scale.

opencc-by-4.0Jul 2022View details →
zenodo40/100

FIGURE 3 in A late Turolian giant panda from Bulgaria and the early evolution and dispersal of the panda lineage

FIGURE 3. Upper dentition (PA) of?Agriarctos nikolovi in comparison with other representatives of Ailuropodini. A, cf. Ag. depereti, uncatalogued cast of MHNL AA52bis in the collection of the University of Vienna; B,?Ag. nikolovi NMNHS FM3546-a (reversed for comparison); C, Ai. yuanmouensis, YICRA YV2509.1 (reversed); D, Ai. lufengensis, IVPP V6892.12; E, A. microta, IVPP V14564; F1-3, A. melanoleuca, IOZ32756, IOZ26449, IOZ32755. Not to scale.

opencc-by-4.0Jul 2022View details →
zenodo40/100

FIGURE 2 in A late Turolian giant panda from Bulgaria and the early evolution and dispersal of the panda lineage

FIGURE 2. Teeth of?Ag. nikolovi: A, NMNHS FM3546-b, upper canine in labial and lingual views; B, NMNHS FM3546-a, P4 in buccal, occlusal, and lingual views.

opencc-by-4.0Jul 2022View details →
zenodo40/100

FIGURE 5 in A late Turolian giant panda from Bulgaria and the early evolution and dispersal of the panda lineage

FIGURE 5. Upper teeth of Agriarctos and Ailurarctos. A1, cf. Ag. depereti from Soblay, from top to bottom P4, M1, and M2, from Viret (1949); A2, cf. Ag. depereti from Soblay, from top to bottom P4, M1, and M2, cast from University of Vienna, MC AA 52bis; B, cf. Ag. depereti from Dorn-Dürkheim 1, from top to bottom P4 uncatalogued cast of MHNL AA52bis (reversed), M1 (reversed), and M2, uncatalogued casts of MHNL AA50-51 (reversed), all in the collection of the University of Vienna, modified from Roth and Morlo (1997); C, Ai. yuanmouensis, from top to bottom P4, M1, and M2 (YICRA YV2509.1, reversed); D1, Ai. lufengensis, from top to bottom P4 (IVPP V6892.12), M1 (IVPP V6892.2, reversed), and M2 (IVPP V6892.6, reversed); D2, Ai. lufengensis, from top to bottom P4 (IVPP V6892.1, reversed), M1 (IVPP V6892.3), and M2 (IVPP V6892.6); D3, Ai. lufengensis, from top to bottom P4 (IVPP V6892.8), P2 (left, IVPP V6892.7) and P3 (right, IVPP V6892.7), and M2 (IVPP V6892.5, reversed); E, A. melanoleuca P4, M1 and M2 (IOZ32755, reversed). Not to scale.

opencc-by-4.0Jul 2022View details →
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FIGURE 7 in A late Turolian giant panda from Bulgaria and the early evolution and dispersal of the panda lineage

FIGURE 7. Proposed dispersal route of Ailuropodini. The red area indicates the possible distribution of the ancestor of Ailuropodini. Background from Geomapapp.

opencc-by-4.0Jul 2022View details →
zenodo40/100

SPAAM Summer School 2022: Introduction to Ancient Metagenomics - 3b2 Introduction to Python and Pandas

<p>Teaching data for&nbsp;practical session: &quot;3b2&nbsp;Introduction to Python and Pandas&quot;&nbsp;of the 2022 SPAAM Summer School: Introduction to Ancient Metagenomics (Aug. 1-5 2022).</p> <p>See:&nbsp;<a href="https://spaam-community.github.io/wss-summer-school/#/2022/">https://spaam-community.github.io/wss-summer-school/#/2022/</a>&nbsp;or&nbsp;<a href="https://doi.org/10.5281/zenodo.6976711">https://doi.org/10.5281/zenodo.6976711</a>&nbsp;for slides.</p> <p>Once downloaded, run:</p> <pre><code>tar xvfz &lt;session&gt;.tar.gz</code></pre> <p>&nbsp;to decompress the data directory for&nbsp;the session.</p>

opencc-by-4.0Aug 2022View details →
zenodo40/100

Fig. 5 in The Influence Of Dispersal On The Metapopulation Viability Of Giant Panda (Aliuropoda Melanoleuca) In The Minshan Mountains

Fig. 5. Population dynamics in 100 years when changing range of dispersal ages, assuming only males to disperse

opencc-by-4.0May 2007View details →
zenodo40/100

Fig. 4 in The Influence Of Dispersal On The Metapopulation Viability Of Giant Panda (Aliuropoda Melanoleuca) In The Minshan Mountains

Fig. 4. Population size of different sexes dispersing with 90% survival of dispersers in 100 years. M90%, F90% and F&amp;M90% indicate dispersal of only males, only females, or both sexes, respectively

opencc-by-4.0May 2007View details →
zenodo40/100

Fig. 1 in The Influence Of Dispersal On The Metapopulation Viability Of Giant Panda (Aliuropoda Melanoleuca) In The Minshan Mountains

Fig. 1. The distribution of each subpopulation and the suggested "corridor belts" within the Minshan metapopulation. ZZWG sub-pop, BH sub-pop, MS sub-pop, BCH sub-pop, QFS sub-pop and GGS sub-pop are abbreviations for Zezhawagou subpopulation, Baihe subpopulation, Minshan subpopulation, Baicaohe subpopulation, Qianfoshan subpopulation, and Guangguangshan subpopulation,

opencc-by-4.0May 2007View details →
zenodo40/100

Fig. 3 in The Influence Of Dispersal On The Metapopulation Viability Of Giant Panda (Aliuropoda Melanoleuca) In The Minshan Mountains

Fig. 3. Minshan metapopulation size in 100 years, assuming different dispersal rates and probabilities of disperser survival. Different curves correspond to different dispersal rates, as shown in the legend

opencc-by-4.0May 2007View details →
zenodo40/100

Figures represent five groups respectively. In group, when the dispersal rate is equal to 1% values of the probability of disperser survival are 1, 0.9, 0.8, 0.7, 0.6, 0.5 respectively as in groups and in The Influence Of Dispersal On The Metapopulation Viability Of Giant Panda (Aliuropoda Melanoleuca) In The Minshan Mountains

Figures represent five groups respectively. In group, when the dispersal rate is equal to 1% values of the probability of disperser survival are 1, 0.9, 0.8, 0.7, 0.6, 0.5 respectively as in groups and

opencc-by-4.0May 2007View details →
zenodo40/100

Fig. 2. Stoch-r in The Influence Of Dispersal On The Metapopulation Viability Of Giant Panda (Aliuropoda Melanoleuca) In The Minshan Mountains

Fig. 2. Stoch-r of Baihe subpopulation with different dispersal rate and probability of disperser survival. Curves 1%, 2%, 4%, 8%, 16% represent different dispersal rates

opencc-by-4.0May 2007View details →
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Fig. 20. Lacunipotamon panda n in Fig. 20 in Lanternflies (Hemiptera: Fulgoridae) of Taiwan.

Fig. 20. Lacunipotamon panda n. sp., holotype male (38.3 × 27.4 mm) (ZRC 2022.0706), Vietnam. A, left G1 (ventral view); B, distal part of left G1 (ventral view); C, distal part of left G1 (dorsal view); D, left G2; E, distal part of distal segment of left G2. Scale bars: A, D = 1.0 mm; B, C = 0.5 mm.

opencc-by-4.0May 2023View details →

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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.

allen-brain-atlas
neuroscienceopenDocumentation, web resources, and API references are available online.
Last verified 2026-04-30Open record

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.

abode-home-cage
behavioral-neuroscienceopenThe DataShare record exposes download links for annotations, documentation, license text, and the zipped per-snippet data directory.
Last verified 2026-04-30Open record

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.

dandi-nwb
electrophysiologyopenPublished Dandiset metadata and archive endpoints are available through the production DANDI API.
Last verified 2026-04-30Open record

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.

ibl
behavioral-neuroscienceopenPublic sessions can be searched and loaded from the IBL public data server through ONE.
Last verified 2026-04-29Open record

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.

openneuro
neuroscienceopenPublished datasets are available on demand over the internet.
Last verified 2026-04-29Open record