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.
8,375
datasets available to search
ShareScore release 0.9.0
Dataset results
8,375 results for “nationalism”
Development of a national point-of-care ultrasound training course for physicians in Japan: A 3-year evaluation
<p><strong>Purpose</strong>: Point-of-care ultrasound (POCUS) allows bedside clinicians to acquire, interpret, and integrate ultrasound images into patient care. Although the availability of POCUS training courses has increased, the educational effectiveness of these courses is unclear.</p> <p><strong>Methods</strong>: From 2017 to 2019, we investigated the educational effectiveness of a standardized 2-day hands-on POCUS training course and changes in pre- and post-course exam scores in relationship to participants’ (n = 571) clinical rank, years of POCUS experience, and frequency of POCUS use in clinical practice.</p> <p><strong>Results</strong>: The mean pre- and post-course examination scores were 67.2 (standard deviation [SD] 12.3) and 79.7 (SD 9.7), respectively. Higher pre-course examination scores were associated with higher clinical rank, more years of POCUS experience, and more frequent POCUS use (p < 0.05). All participants showed significant changes in pre- to post-course exam scores. Though pre-course scores differed by clinical rank, POCUS experience, and frequency of POCUS use, differences in post-course scores according to participant baseline differences were non-significant.</p> <p><strong>Conclusion</strong>: A standardized hands-on POCUS training course is effective for improving POCUS knowledge regardless of baseline differences in clinical rank, POCUS experience, or frequency of POCUS use. Future studies shall evaluate changes in POCUS use in clinical practice after POCUS training.</p>
National forest inventory data for a size-structured forest population model
<p>In forest communities, light competition is a key process for community assembly. Species' differences in seedling and sapling tolerance to shade cast by overstory trees is thought to determine species composition at late-successional stages. Most forests are distant from these late-successional equilibria, impeding a formal evaluation of their potential species composition. To extrapolate competitive equilibria from short-term data, we therefore introduce the JAB model, a parsimonious dynamic model with interacting size-structured populations, which focuses on sapling demography including the tolerance to overstory competition. We apply the JAB model to a two-"species" system from temperate European forests, i.e. the shade-tolerant species Fagus sylvatica L. and the group of all other competing species. Using Bayesian calibration with prior information from external Slovakian national forest inventory (NFI) data, we fit the JAB model to short timeseries from the German NFI. We use the posterior estimates of demographic rates to extrapolate that F. sylvatica will be the predominant species in 94% of the competitive equilibria, despite only predominating in 24% of the initial states. We further simulate counterfactual equilibria with parameters switched between species to assess the role of different demographic processes for competitive equilibria. These simulations confirm the hypothesis that the higher shade-tolerance of F. sylvatica saplings is key for its long-term predominance. Our results highlight the importance of demographic differences in early life stages for tree species assembly in forest communities.</p>
Fig. 1 in Cetotheriidae (Cetacea, Mysticeti) From The Collections Of The National Geological Museum, Bucharest (Romania)
Fig. 1. Location of the studied area in Romania (left) and the geological structures and location of the fossiliferous localities (right) in Gorj County (modified after Codarcea et al., 1968): 1 — Igneous rocks; 2 — Sarmatian s. l.; 3 — Maeotian; 4 — Upper Besarabian–Maeotian; 5 — Holocene; 6 — Pleistocene; 7 — Volhynian–Lower richnessBessarabian(Bercia; 8 —et al., fossiliferous 1968). Theselocality. deposits are situated in the Novaci depression and continue to the east and to the west, as well as south of the Ciocadia–Săcel anticline (Bercia et al., 1968). The paleontological content is also represented by invertebrate species such as: Unio cf. subrecurvus Teisseyre 1907, Radix cf. velutina Deshayes 1838, and Congeria navicula Andrusov 1897 (Popescu, 1955; Bercia et al., 1968). The last sedimentary sequence, situated east of the Cerna River, on the northern rim of the Dacian Basin is composed of detritic deposits containing rare Mactra Linnaeus 1767 remains, characteristic of the Bessarabian and Khersonian, while eastwards, towards Râmnicu Vâlcea these detritic deposits overlay the Lower Bessarabian formations with C. pesanseris, and above these, the Maeotian deposits, predominantly detritic, composed of sands and sandy marls with gravel interlays follow (Bercia et al., 1968).
Fig. 3 in Cetotheriidae (Cetacea, Mysticeti) From The Collections Of The National Geological Museum, Bucharest (Romania)
Fig. 3. Cetotheriidae lumbar vertebrae: 10.068 in: A — cranial view; B — caudal view; C — lateral view; D — dorsal view; E — ventral view; 10.064 in: F — cranial view; G — caudal view; H — lateral view; I — dorsal view; J — ventral view; 10.066 in: K — cranial view; L — caudal view; M — lateral view; N — dorsal view; O — ventral view; 10.069 in: P — cranial view; Q — caudal view; R — lateral view; S — dorsal view; T — ventral view; 21.115 in: U — cranial view; V — caudal view; W — lateral view; X — dorsal view; Y — ventral view. Scale bar 10 mm.
Fig. 2 in Cetotheriidae (Cetacea, Mysticeti) From The Collections Of The National Geological Museum, Bucharest (Romania)
Fig. 2. Cetotheriidae caudal vertebrae: 10.096 in: A — cranial view; B — caudal view; C — lateral view. D — dorsal view; E — ventral view; 10.067 in: F — cranial view; G — caudal view; H — lateral view; I — dorsal view; J — ventral view; 10.143 in: K — cranial view; L — caudal view; M — lateral view; N — dorsal view; O — ventral view; 21.113 in: P — cranial view; Q — caudal view; R — lateral view; S — dorsal view; T — ventral view; 21.114 in: U — cranial view; V — caudal view; W — lateral view; X — dorsal view; Y — ventral view; 21.116 in: Z — cranial view; A` — caudal view; B` — lateral view; C` — dorsal view; D` — ventral view; 21.117 in: E` — cranial view; F` — caudal view; G` — lateral view; H` — dorsal view; I` — ventral view; 21.118 in: J` — cranial view; K` — caudal view. L` — lateral view; M` — dorsal view; N` — ventral view; 10.097 in: O` — cranial view; P` — caudal view; Q` — lateral view; R` — Dorsal view; S` — ventral view. Scale bar 10 mm.
Fig. 4 in Cetotheriidae (Cetacea, Mysticeti) From The Collections Of The National Geological Museum, Bucharest (Romania)
Fig. 4. Mithridatocetus sp. humerus 21.112 in: A — anterior view; B — posterior view; C — ventral view; D — dorsal view. Scale bar 10 mm.
Preserving the National Geothermal Data System's Geothermal Features and Observations Dataset (AASG-GDS)
<p>The National Geothermal Data System (NGDS) is a distributed, interoperable network of data collected from state geological surveys across all fifty states and the nation’s leading academic geothermal centers (<a href="https://data.geothermaldata.org">https://data.geothermaldata.org</a>). The system houses a variety of geoscientific data ranging from text reports, geologic maps, photo imagery, well logs, chemical and mineral assays, and various other research products. Its flagship data product was a collection of structured tables describing geologic wells, other geologic sampling features, and associated observations (e.g., heat flow, aqueous chemistry). These data tables remain the most heavily requested NGDS product, but institutional, financial, and technical instability among NGDS and its partnered data contributors has made access to this dataset erratic in recent years. In response, the Arizona Geological Survey (AZGS) and the U.S. Geosciences Information Network (USGIN) partnered to repackage and republish these datasets in trusted scientific archives under the codename AASG-GDS. </p> <p>An ArcGIS Online web map version of the ESRI File Geodatabase included in this packet can be viewed at https://uagis.maps.arcgis.com/home/item.html?id=7b39964a182d4abdaccc2b064e47721b.</p>
Slip deficit rate realizations for 2023 New Zealand National Seismic Hazard Model geodetic inversions
<p>This data set contains inversion results presented in Johnson et al. (2023) and also Johnson et al. (2022). All calculations involving slip deficit rates in those papers were conducted using the results in the files provided in this data set. </p>
Fig. 1 in The Odonate fauna of Val Grande National Park (Insecta: Odonata)
Fig. 1 – Val Grande National Park and its location in Italy (top right inset). Labels and site codes as in Table 1.
Figures 1–2 in Mites of the genus Prozercon (Acari: Zerconidae) in Dilek Peninsula-Büyük Menderes Delta National Park (Turkey), with description of a new species
Figures 1–2. Prozercon didimensis sp. nov. (female) 1. Dorsal view, 2. Ventral views. Abbreviations: (r1 and r3) peritremal setae, (Pr) peritreme, (Pes) peritremal shield, (Ts) tritosternum, (C I–C IV) endopodal shields, (st1–5) sternal setae, (Ges) genital shield, (Vas) ventrianal shield, (JV1– JV3, ZV2–ZV4 and JV4) ventrianal setae, (Ad) adanal setae and (Pa) postanal seta. Scale bar 100.
Figures 2-3 in Contributions to the Zerconidae (Acari: Mesostigmata) fauna of Dilek Peninsula-Büyük Menderes Delta National Park, Türkiye
Figures 2-3. Dorsal views of deutonymph specimens 2. Zercon andrei, 3. Zercon plumatopilus. Scale bar 100.
Figures 8-9 in Contributions to the Zerconidae (Acari: Mesostigmata) fauna of Dilek Peninsula-Büyük Menderes Delta National Park, Türkiye
Figures 8-9. Dorsal views of immature stages of Zercon dilekensis sp. nov. 8. Deutonymph, 9. Protonymph. Scale bar 100.
Adopted Ranking Methodology for Emerging National Importance Technical Institutions: A Correlation Analysis and Dominance of Research Performance Indicators
<p>The article presents the research performance of newly established technical institutes in India. It gives an overview of NTU and NIRF ranking methodologies. This research would help institutions to check their performance and identify ways to strengthen their rank by producing more output with high-impact research work. The article provides appropriate input to the technical institutions under the study to set out practical and pedagogical approaches, and cross-institutional as well as international collaboration to achieve their research goals. The article gives rank to the technical institutes under the study based on their research performance using the NTU ranking methodology.</p>
SinoLC-1: the first 1-meter resolution national-scale land-cover map of China created with the deep learning framework and open-access data (User guide V2.4)
<p>The<strong> User Guide V2.4 </strong>of the SinoLC-1 land-cover product. The SinoLC-1 was created by the Low-to-High Network (L2HNet), which can be found at: <strong><a href="https://doi.org/10.1016/j.isprsjprs.2022.08.008">L2HNet</a></strong>. A more detailed description of the data can be found in the<strong> <a href="https://doi.org/10.5194/essd-15-4749-2023">paper</a>.</strong> More related work can be found at my <strong><a href="https://lizhuohong.github.io/lzh/">homepage</a>.</strong></p> <p><a href="https://zenodo.org/search?q=parent.id%3A7707461&f=allversions%3Atrue&l=list&p=1&s=10&sort=version"><strong>Click to check all the data versions and download the data (点击查看/下载所有数据版本)</strong></a></p> <p><strong>NOTE: If you have any data needs, questions, or technical issues, contact us at </strong><a href="http://ashelee@whu.edu.cn"><strong>ashelee@whu.edu.cn</strong></a><strong> (Zhuohong Li, 李卓鸿).</strong></p> <p>The land-cover mapping method with Python code is open-access at <a href="https://github.com/LiZhuoHong/Paraformer/"><strong>Code link</strong></a>. You can now update the high-resolution land-cover map by yourself with the code! The updated method is accepted by CVPR 2024 (<strong><a href="https://arxiv.org/abs/2403.02746">Paper link</a></strong>).</p> <p><strong>我们的最新制图算法被计算机视觉顶会CVPR2024接收(<a href="https://arxiv.org/abs/2403.02746">Paper link</a>),代码开源在:<a href="https://github.com/LiZhuoHong/Paraformer/">Code link</a>,您可以利用该代码高效地更新自己数据集的高分土地覆盖图。</strong></p> <p><strong>Citation format of the paper:</strong><br>Li, Z., He, W., Cheng, M., Hu, J., Yang, G., and Zhang, H.: SinoLC-1: the first 1 m resolution national-scale land-cover map of China created with a deep learning framework and open-access data, Earth Syst. Sci. Data, 15, 4749–4780, 2023. </p> <p>Li, Z., Zhang, H., Lu, F., Xue, R., Yang, G. and Zhang, L.: Breaking the resolution barrier: A low-to-high network for large-scale high-resolution land-cover mapping using low-resolution labels, <em>ISPRS Journal of Photogrammetry and Remote Sensing</em>. <em>192</em>, pp.244-267, 2022.</p> <p><strong>BibTex format of the paper:</strong></p> <blockquote> <pre>@article{li2023sinolc, title={SinoLC-1: the first 1 m resolution national-scale land-cover map of China created with a deep learning framework and open-access data}, author={Li, Zhuohong and He, Wei and Cheng, Mofan and Hu, Jingxin and Yang, Guangyi and Zhang, Hongyan}, journal={Earth System Science Data}, volume={15}, number={11}, pages={4749--4780}, year={2023}, publisher={Copernicus Publications G{\"o}ttingen, Germany} }</pre> <pre>@article{li2022breaking, title={Breaking the resolution barrier: A low-to-high network for large-scale high-resolution land-cover mapping using low-resolution labels}, author={Li, Zhuohong and Zhang, Hongyan and Lu, Fangxiao and Xue, Ruoyao and Yang, Guangyi and Zhang, Liangpei}, journal={ISPRS Journal of Photogrammetry and Remote Sensing}, volume={192}, pages={244--267}, year={2022}, publisher={Elsevier} }</pre> </blockquote>
Quantitative research - green organizations and green competencies - Miniatura 5 funded by the National Science Centre in Poland 2021/05/X/HS4/00974
<p>The questionnaire consisted of a general section meant to identify the type of the company, the region of its activity and the average number of employees together with with details of the respondent’s job position. The purpose of the second part of the questionnaire was to define the variables that make it possible to describe the company. These included the following ten: 1) sustainable<br> manufacturing; 2) green human resource management; 3) knowledge and awareness of ecology and sustainability; 4) environmental management; 5) green marketing; 6) environmentally friendly product design; 7) green supply chains; 8) closed-loop waste management; 9) zero waste buildings; 10) minimising the use of resources, including energy. Subsequently, based on the literature devoted to green competences, the questions were divided into four categories: knowledge, skills, attitudes and performance-related managerial skills. A total of 80 concepts were defined that were then assigned to separate categories and evaluated by respondents.<br> 100 manufacturing companies were surveyed (quantitative research). </p> <p>The research was funded by the National Science Centre in Poland 2021/05/X/HS4/00974</p>
Architecture, morphology and strength of the quadriceps muscle in male and female soccer players at the national level: a cross-sectional study
<p>This is the dataset for the corresponding publication. The dataset includes the "raw" data as well as the analysis script used for the calculation of the group differences and correlations.</p>
Estonian National Bibliography - maps
A subset of maps metadata from the Estonian national bibliography. The Estonian national bibliography (Eesti rahvusbibliograafia - ERB) covers publications in all languages in Estonia and abroad, regardless of the medium and date of publication. The database of the national bibliography is constantly updated with newly published works. A separate part of the national bibliography is the Estonica collection, which includes both publications in foreign languages by Estonian authors and publications about Estonia and Estonians published abroad. The database is managed by the National Library of Estonia, which manages the Estonian national bibliography in accordance with the relevant laws. For more info, see <a href="https://digilab.rara.ee">https://digilab.rara.ee</a>.
Estonian National Bibliography
The Estonian national bibliography (Eesti rahvusbibliograafia - ERB) covers publications in all languages in Estonia and abroad, regardless of the medium and date of publication. The database of the national bibliography is constantly updated with newly published works. A separate part of the national bibliography is the Estonica collection, which includes both publications in foreign languages by Estonian authors and publications about Estonia and Estonians published abroad. The database is managed by the National Library of Estonia, which manages the Estonian national bibliography in accordance with the relevant laws. For more info, see <a href="https://digilab.rara.ee">https://digilab.rara.ee</a>.
Estonian National Bibliography - graphic material
A subset of graphical works from the Estonian national bibliography. The Estonian national bibliography (Eesti rahvusbibliograafia - ERB) covers publications in all languages in Estonia and abroad, regardless of the medium and date of publication. The database of the national bibliography is constantly updated with newly published works. A separate part of the national bibliography is the Estonica collection, which includes both publications in foreign languages by Estonian authors and publications about Estonia and Estonians published abroad. The database is managed by the National Library of Estonia, which manages the Estonian national bibliography in accordance with the relevant laws. For more info, see <a href="https://digilab.rara.ee">https://digilab.rara.ee</a>.
Estonian National Bibliography - multimedia
A subset of multimedia works metadata from the Estonian national bibliography. The Estonian national bibliography (Eesti rahvusbibliograafia - ERB) covers publications in all languages in Estonia and abroad, regardless of the medium and date of publication. The database of the national bibliography is constantly updated with newly published works. A separate part of the national bibliography is the Estonica collection, which includes both publications in foreign languages by Estonian authors and publications about Estonia and Estonians published abroad. The database is managed by the National Library of Estonia, which manages the Estonian national bibliography in accordance with the relevant laws. For more info, see <a href="https://digilab.rara.ee">https://digilab.rara.ee</a>.
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.