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zenodo36/100

Fig. 5 in Catalogue of type specimens of braconid wasps (Hymenoptera: Braconidae) deposited in the National Museum, Prague, Czech Republic

Fig. 5. Allotype of Dendrosotinus similis Bouček, 1955 with its labels (scale bar = 2.5 mm).

opencc-by-4.0Dec 2022View details →
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Fig. 10 in Catalogue of type specimens of braconid wasps (Hymenoptera: Braconidae) deposited in the National Museum, Prague, Czech Republic

Fig. 10. Holotype of Rogadiaspis tritoma Bouček, 1956 with its labels (scale bar = 2.5 mm).

opencc-by-4.0Dec 2022View details →
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Fig. 26 in Catalogue of type specimens of braconid wasps (Hymenoptera: Braconidae) deposited in the National Museum, Prague, Czech Republic

Fig. 26. Holotype of Opius propodealis Fischer, 1958 with its labels (scale bar = 2.5 mm).

opencc-by-4.0Dec 2022View details →
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Fig. 16 in Catalogue of type specimens of braconid wasps (Hymenoptera: Braconidae) deposited in the National Museum, Prague, Czech Republic

Fig. 16. Allotype of Opius capeki Fischer, 1963 with its labels (scale bar = 2.5 mm).

opencc-by-4.0Dec 2022View details →
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Fig. 4 in Catalogue of type specimens of braconid wasps (Hymenoptera: Braconidae) deposited in the National Museum, Prague, Czech Republic

Fig. 4. Holotype of Dendrosotinus similis Bouček, 1955 with its labels (scale bar = 2.5 mm).

opencc-by-4.0Dec 2022View details →
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Fig. 31 in Catalogue of type specimens of braconid wasps (Hymenoptera: Braconidae) deposited in the National Museum, Prague, Czech Republic

Fig. 31. Paratypus of Orgilus tobiasi Taeger, 1989 (female) (scale bar = 2.5 mm).

opencc-by-4.0Dec 2022View details →
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Fig. 30 in Catalogue of type specimens of braconid wasps (Hymenoptera: Braconidae) deposited in the National Museum, Prague, Czech Republic

Fig. 30. Paratypus of Orgilus oehlkei Taeger, 1989 (scale bar = 2.5 mm).

opencc-by-4.0Dec 2022View details →
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Fig. 21 in Catalogue of type specimens of braconid wasps (Hymenoptera: Braconidae) deposited in the National Museum, Prague, Czech Republic

Fig. 21. Holotype of Opius magnicauda Fischer, 1958 with its labels (scale bar = 2.5 mm).

opencc-by-4.0Dec 2022View details →
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Fig. 2 in Catalogue of type specimens of braconid wasps (Hymenoptera: Braconidae) deposited in the National Museum, Prague, Czech Republic

Fig. 2. Holotype of Phanerotoma bicolor Šnoflák, 1958 with its labels (scale bar = 2.5 mm).

opencc-by-4.0Dec 2022View details →
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Fig. 1 in Catalogue of type specimens of braconid wasps (Hymenoptera: Braconidae) deposited in the National Museum, Prague, Czech Republic

Fig. 1. Holotype of Triaspis algiricus Šnoflák, 1958 with its labels (scale bar = 2.5 mm).

opencc-by-4.0Dec 2022View details →
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Aligned DNA sequence matrix for phylogenetic analyses in the article "A new species of spiny-backed tree frog, genus Osteocephalus (Anura: Hylidae), from the Yanachaga Chemillén National Park in central Peru"

<p>Aligned DNA sequence matrix for phylogenetic analyses of the article &quot;Systematics of Huicundomantis, a new subgenus of Pristimantis (Anura, Strabomantidae) with extraordinary cryptic diversity and eleven new species&quot;</p> <p>The matrix is in NEXUS format and has&nbsp;14791 bp and 38 terminals.</p> <p>Partitions are as follows:</p> <p>charset 12S_16S = 1-2442;<br> &nbsp;&nbsp; &nbsp;charset mtGenome_other_genes = 2443-9180;&nbsp;&nbsp; &nbsp;charset nonCoding = &nbsp;3132- 3138 4776- 4857 5203- 5214;<br> &nbsp;&nbsp; &nbsp;charset codonPos1 = &nbsp;2443-3130\3 3139-4774\3 4858-5200\3 5215-9178\3;<br> &nbsp;&nbsp; &nbsp;charset codonPos2 = &nbsp;2444-3131\3 3140-4775\3 4859-5201\3 5216-9179\3;<br> &nbsp;&nbsp; &nbsp;charset codonPos3 = &nbsp;2445-3129\3 3141-4773\3 4860-5202\3 5217-9180\3;<br> &nbsp;&nbsp; &nbsp;charset 16S_ND1nonCoding = &nbsp;9181- 9428 10390- 10506 ;<br> &nbsp;&nbsp; &nbsp;charset 16S_ND1codonPos1 = &nbsp;9429-10389\3;<br> &nbsp;&nbsp; &nbsp;charset 16S_ND1codonPos2 = &nbsp;9430-10387\3;<br> &nbsp;&nbsp; &nbsp;charset 16S_ND1codonPos3 = &nbsp;9431-10388\3;<br> &nbsp;&nbsp; &nbsp;charset POMCcodonPos1 = &nbsp;10507-11068\3;<br> &nbsp;&nbsp; &nbsp;charset POMCcodonPos2 = &nbsp;10508-11066\3;<br> &nbsp;&nbsp; &nbsp;charset POMCcodonPos3 = &nbsp;10509-11067\3;<br> &nbsp;&nbsp; &nbsp;charset CO1codonPos1 = &nbsp;11069-12608\3;<br> &nbsp;&nbsp; &nbsp;charset CO1codonPos2 = &nbsp;11070-12609\3;<br> &nbsp;&nbsp; &nbsp;charset CO1codonPos3 = &nbsp;11071-12610\3;<br> &nbsp;&nbsp; &nbsp;charset CytbcodonPos1 = &nbsp;12611-13757\3;<br> &nbsp;&nbsp; &nbsp;charset CytbcodonPos2 = &nbsp;12612-13758\3;<br> &nbsp;&nbsp; &nbsp;charset CytbcodonPos3 = &nbsp;12613-13759\3;<br> &nbsp;&nbsp; &nbsp;charset ND2codonPos1 = &nbsp;13760-14789\3;<br> &nbsp;&nbsp; &nbsp;charset ND2codonPos2 = &nbsp;13761-14790\3;<br> &nbsp;&nbsp; &nbsp;charset ND2codonPos3 = &nbsp;13762-14791\3;</p>

opencc-by-4.0Dec 2022View details →
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H2020 RESCUER Radar Sensing tool by CONSERT-UNIWA presented on National Greek Television

<p>A report by the Greek National Television (ERT) on our Radar Sensing tool for enabling the communication between First Responders using radar sensing (developed in the context of H2020 project RESCUER).</p>

opencc-by-4.0Feb 2023View details →
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Harmonising the land-use flux estimates of global models and national inventories for 2000-2020: background data

<p>This online repository&nbsp;includes all the relevant&nbsp;data used in the paper&nbsp;&quot;Harmonizing the land-use flux estimates of global models and national inventories for 2000-2020&quot; (Grassi et al. 2023), plus some additional methodological&nbsp;information, organised&nbsp;in the following&nbsp;files:</p> <p>1)&nbsp;&nbsp;&quot;<strong>Global model</strong><strong>s</strong> <strong>land CO2 </strong><strong>data 2000-2020</strong>&quot; (MS Excel Format), including&nbsp;for each country&nbsp;data&nbsp;for:</p> <p>a.&nbsp;&nbsp;Land-use CO2 fluxes from each of three&nbsp;Bookkeeping&nbsp;Models (BMs) used,&nbsp;and for different&nbsp;categories&nbsp;(net LULUCF, deforestation, forest, other transitions, organic soils).&nbsp;</p> <p>b. The ensemble mean of the &lsquo;natural terrestrial sink&rsquo; estimated by 16 Dynamic Global Vegetation Models (DGVMs), filtered with maps of intact/non-intact forest.</p> <p>The global model data included here are consistent with those included in the Global Carbon Budget 2022 (Friedlingstein et al., 2022).</p> <p>2) &ldquo;<strong>National inventories LULUCF data 2000-2020</strong>&rdquo; (version Dec 2022, MS Excel Format), including a &nbsp;comprehensive collection of LULUCF CO2 data based on countries&#39; submissions to the United Nations Framework Convention on Climate Change (UNFCCC). The data here represent a slight update of the dataset included in Grassi et al. (2022).</p> <p>3) &ldquo;<strong>Processing steps for DGVM results&rdquo;,</strong> describing the protocol used to filter the results of DGVMs with maps of intact/non-intact forest and further details on the maps (PDF Format). &nbsp;</p> <p>4) &ldquo;<strong>Intact and non-intact forest maps</strong>&rdquo;, available in two files with different resolutions (0.5 and 0.05 degrees) in NetCDF format. Grassi et al. (2023) used the 0.5 degree resolution.</p> <p>5) &quot;<strong>IntactAndNonIntactForest_0.5deg_script.js</strong>&quot;, the Google Earth Engine Java script to produce the forest maps (.js/text format)</p> <p>For further details, please refer to:</p> <p>Grassi et al. (2023) Harmonising the land-use flux estimates of global models and national inventories for 2000-2020. Earth Syst. Sci. Data.</p> <p>Other references:</p> <p>Friedlingstein et al. (2022) Global Carbon Budget 2022, Earth Syst. Sci. Data, 14, 4811&ndash;4900.</p> <p>Grassi et al (2022) Carbon fluxes from land 2000&ndash;2020: bringing clarity to countries&#39; reporting. Earth Syst. Sci. Data, 14, 4643-4666.</p> <p>&nbsp;</p> <p>&nbsp;</p>

opencc-by-4.0Jan 2023View details →
dryad36/100

Microhabitat data of bryophyte occurrences in and near Sequoia National Park at varying elevations

<p>On the western slope of California's Sierra Nevada, bryophytes were studied from the foothills (summers dry; winters mild) to the alpine zone (summers short; winters with snow cover).  Plots of 25 m<sup>2</sup> were chosen from 380 to 3,578 meters above sea level. Within each of the 253 plots, bryophyte species and their abundance were recorded along with microsite wetness, shadiness, incline, and the type of substrate.  Data was used to assess changes in species richness and abundance across elevations and microhabitat characteristics.  </p>

opencc-zeroFeb 2023View details →
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Point Reyes National Seashore Dune Insect Records

<p>The insects of the coastal dunes of Abbott's Lagoon at Point Reyes National Seashore were inventoried between 2000 and 2013. The dataset includes information on the specimens and photographic records that are part of this inventory. Details of the study are found in P. da Silva, et al. The insect community of an endangered habitat: coastal dunes at Point Reyes National Seashore, California, U.S.A., which has been accepted by the <em>Pan Pacific Entomologist</em> and will appear in Volume 99, Number 1, to be published in March, 2023.</p>

opencc-zeroMar 2023View details →
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Residents perspectives on human-wildlife conflict management to build community resilience in Chitwan National Park, Nepal

<ol> <li>Human-wildlife conflict can significantly impact economic, social, and ecological systems critical to promoting sustainable development. Effectively managing conflicts between people and wildlife that share a common landscape requires the implementation of effective management strategies that aim to reduce the impacts of HWC and promote coexistence as preferred by the community. However, many studies have often overlooked social aspects, especially the residents' perceptions of HWC management, that can help build community resilience.</li> <li>Residents and wildlife share a common landscape in the Chitwan National Park in Nepal. Competition for resources grows as the human-modified landscape provides a new form of habitat for wildlife. We used Importance-Performance Analysis (IPA) to capture the residents' (n=506) perspectives on the importance of HWC management strategies and their performance by park management to prioritize strategies that could help build community resilience.</li> <li>We found notable mean performance-importance gaps for the eight HWC management strategies, representing the park management's inability to meet the desired need of  farmers and non-farmers. The IPA matrix grid shows the three strategies - skill, livelihood, and compensation - that need immediate attention from park management as they fall under high-priority strategies in quadrant II. The two-way ANOVA results revealed that the residents' perspectives on importance and performance in all management sectors differ.</li> <li>We conclusively recommend developing site-and context-specific HWC management plans that consider the affected community's livelihood needs, which are essential for increasing the operational effectiveness of HWC management. Park management should prioritize strategies in sectors more vulnerable to HWCs to secure community support for long-term conservation goals.</li> <li>This study will be a key reference for identifying context-specific management strategies that incorporate community resilience in the management of human-wildlife conflict. This could inform HWC management policy and conservation planning to achieve coexistence that benefits both people and wildlife, particularly in low-income countries with similar socio-ecological settings. Overall, our findings provide a new perspective on human-wildlife conflict management that policymakers, researchers, and protected area managers around the world can use to build community resilience to facilitate coexistence.</li> </ol>

opencc-zeroMar 2023View details →
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Possible but Rare: Safe and Just Satisfaction of National Human Needs in Terms of Ecosystem Services - Supplemental Data

<p>This supplemental datasheet provides the country-level data used for calculation in the manuscript &quot;Possible but Rare: Safe and Just Satisfaction of National Human Needs in Terms of Ecosystem Services.&quot; For a summary of the results and insights, check the main text. Please check the supplemental&nbsp;information to follow the detailed calculations using this data.&nbsp;</p>

opencc-by-4.0Mar 2023View details →
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Human wildlife conflict in Shuklaphanta National Park

<p>Human-wildlife interactions occur when humans and wildlife coexist and share common resources including food or shelter. Increasing wildlife populations within protected areas can also increase interactions with humans living adjacent to these areas, resulting in conflicts including human casualty, livestock depredation, crop damage, and property loss. We collected the data between 28 September 2021 to 8 January 2022. We analyzed six years of human-wildlife conflict data from 2016–2021 in the buffer zone of Shuklaphanta National Park and conducted a questionnaire survey to investigate factors influencing human-wildlife conflicts. The analyses were done using descriptive statistics and generalized linear modeling. People were attacked primarily by wild boar (<em>Sus</em> <em>scrofa</em>). Mostly, the livestock were killed by leopard (<em>Panthera</em> <em>pardus</em>), and among these most were sheep or goats killed near ShNP during summer. Crops were most frequently damaged by Asian elephants (<em>Elephas</em> <em>maximus</em>), followed by wild boar. The greatest economic losses were from damage to rice, followed by sugarcane and wheat. Asian elephant was the only reported species to cause structural damage to property (e.g., homes). The majority of respondents considered that the mitigation techniques that are currently in practice are effective to reduce conflicts. However, the effectiveness of the mitigation techniques is species-specific, and we recommend the use of more efficacious deterrents (e.g., electric fencing) for large herbivores and mesh wire fencing partially buried in the ground. Effective collaboration among different tiers of government, non-governmental organizations, civil societies, and affected communities is important to share the best practices and continue to apply innovative methods for impactful mitigation of human-wildlife conflicts in the region. The dataset contains this information for 300 households around Shuklaphanta National Park region.</p>

opencc-zeroMar 2023View details →
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Material Efficiency Policy and Nationally Determined Contributions

<p>This is a table containing the data used to create Table 4, Number of G20 countries that include energy or material efficiency commitments in 2nd round of National Determined Contributions in the paper, Policy for material efficiency: Enabling new climate change mitigation strategies by Lifset et al.</p>

opencc-by-4.0Mar 2023View details →
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CRLC: Cross-resolution national-scale land-cover mapping based on noisy label learning: a case study of China

<p><strong>CRLC are the 10-meter resolution land cover maps for China in 2020 achieved by a deep classification network.</strong></p> <p><strong>The maps include eight&nbsp;land cover classes:</strong></p> <p>1: Cropland</p> <p>2: Forest</p> <p>3: Grass/shrubland</p> <p>5:&nbsp;Wetland</p> <p>6:&nbsp;Water bodies</p> <p>8:&nbsp;Impervious</p> <p>9:&nbsp;Bareland</p> <p>10:&nbsp;Snow/ice</p> <p>&nbsp;</p> <p><strong>Reference:</strong></p> <pre>@article{liu2023cross, title={Cross-resolution national-scale land-cover mapping based on noisy label learning: A case study of China}, author={Liu, Yinhe and Zhong, Yanfei and Ma, Ailong and Zhao, Ji and Zhang, Liangpei}, journal={International Journal of Applied Earth Observation and Geoinformation}, volume={118}, pages={103265}, year={2023}, publisher={Elsevier} }</pre>

opencc-by-4.0Mar 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