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Raw Data of the plots presented in the article entitled "Minute-Made, High-Efficiency Nanostructured Bi2Te3 via High-Throughput Green Solution Chemical Synthesis"
<p>This is the collection of raw data for the graphical items presented in the article with given details. </p> <p>This research has received funding from the Swedish Energy Agency (43521-1) and in part by Swedish Research Agency Council (VR, 2018-03462) and the European Union’s Horizon 2020 research and innovation program under the grant agreement No 863222.</p>
Factors affecting delay in the presentation of breast cancer symptoms among women in Gaza, occupied Palestinian territory: A cross-sectional survey
<p>Objective: To identify factors related to women's delay in presenting with breast cancer symptoms to improve earlier diagnosis in the occupied Palestinian territory (oPt).</p> <p>Design: Cross-sectional</p> <p>Setting: Two government cancer hospitals.</p> <p>Participants: A consecutive sample of 130 Palestinian women living in Gaza with newly diagnosed breast cancer were approached in the waiting rooms of cancer hospitals in Gaza between 1 January and 31 December 2017. 120 women took part and returned the completed questionnaire.</p> <p>Primary and secondary outcome measures: Clinical information about breast cancer were collected from hospital cancer records. An interval of three months or more between women's self-discovery of symptoms and their first presentation to a medical provider was considered as a delay.</p> <p>Results: 94% (122/130) of women attending cancer hospitals in Gaza agreed to take part in the study. Their mean age was 51 years (range: 23-72), 33.6% (31/122) had a family history of breast cancer, and 74.5% (41/55) of those whose cancer stage was known had been diagnosed at stage III or IV. Around one half (62/122) said they had not recognised the seriousness of their breast changes but only 20% (24/122) of women delayed seeking healthcare by three months and more. Considering that the symptom was not serious (X2= 13.94, p> 0.05), and lack of pain (X2= 6.63, p> 0.05) were the only two factors statistically associated with later presentation. Lower socio-economic status, older age, lower education, and negative family history of breast cancer were not statistically associated with women's delay.</p> <p>Conclusions: Women's awareness about the seriousness of breast changes and the critical importance of seeking prompt diagnosis needs to be improved using context-relevant and evidence-based awareness campaigns. This should be accompanied with training of female nurses on promoting early detection and improvement in diagnostic facilities to ensure timely diagnosis of cancer in the oPt.</p>
LaMEM source code and input files corresponding to Present‐day upper‐mantle architecture of the Alps: Insights from data‐driven dynamic modelling
<p>This repository contains LaMEM source code and input files for the models presented in Kumar, A., Cacace, M., Scheck-Wenderoth, M., Götze, H.-J., & Kaus, B. J. P. (2022). Present-day upper-mantle architecture of the Alps: Insights from data-driven dynamic modeling. Geophysical Research Letters, 49, e2022GL099476. https://doi. org/10.1029/2022GL099476</p>
KidDO progress presentation 2022: Metabolic Targets for Therapeutic Intervention in Kidney Disease
<p>This is a recorded talk with head of the KidDO project - Robert Fenton - where he presents the latest project progress.</p> <p>The talk was given at one of ODIN's (the Open Discovery Innovation Network) Knowledge Sharing Events in May 2022.</p> <p> </p> <p> </p>
oLIVER progress presentation 2022: Identifying biomarkers for diagnosis and treatment evaluation of NAFLD
<p>This is a recorded talk with head of the oLIVER project - Jørgen Kjems, where he presents the latest project progress.</p> <p>The talk was given at one of ODIN's (the Open Discovery Innovation Network) Knowledge Sharing Events in May 2022.</p>
THOR progress presentation 2022: Targeting Smooth Muscle Cells for Atherosclerosis Therapy
<p>This is a recorded talk with head of the THOR project - Jacob Fog Bentzon, where he presents the latest project progress.</p> <p>The talk was given at one of ODIN's (the Open Discovery Innovation Network) Knowledge Sharing Events in May 2022.</p>
BIOMETSCO progress presentation 2022: Identification of Novel Biomarkers and Drug Targets for the Detection and Elimination of Occult Metastases in Colon Cancer
<p>This is a recorded talk with head of the BIOMETSCO project - Lasse Sommer Kristensen - where he presents the latest project progress.</p> <p>The talk was given at one of ODIN's (the Open Discovery Innovation Network) Knowledge Sharing Events in May 2022.</p> <p> </p> <p> </p>
Figures 47-50. Microhabitats associated with the present study. 47 in Salticidae (Arachnida: Araneae) from the Department of Córdoba in the Caribbean Region of Colombia
Figures 47-50. Microhabitats associated with the present study. 47, Momíl swamp. 48, Estuarine area, Cispatá Bay, San Antero. 49, Dry forest, Cerro Grande Mohan. 49, Fragment of coastal mangrove forest, San Antero.
Data to reproduce the results presented in Lake et al. 2022. Hydrological processes, https://doi.org/10.1002/hyp.14726 ("Using particle size distributions to fingerprint suspended sediment sources – evaluation at laboratory and catchment scales")
<p>This repository contains data on particle size distribution data obtained from the laboratory and field experiments as described in Lake et al., 2022. </p> <p>The data contains the input files as needed for the modelling:</p> <p>- In the excel files the particle size distribution data for the target SS</p> <p>- In the text file the particle size distribution data from the sources.</p> <p> </p> <p>Furthermore, the data contains the resulting output files.</p> <p> </p>
An Analysis of the Current Bibliographical Data Landscape in the Humanities. A Case for the Joint Bibliodata Agendas of Public Stakeholders - video presentation
<p>A video presenting the DARIAH's Bibliographical Data Working Group entitled <em>An Analysis of the Current Bibliographical Data Landscape in the Humanities. A Case for the Joint Bibliodata Agendas of Public Stakeholders. </em>The report is freely available on Zenodo: <a href="https://zenodo.org/record/6559857#.Y0XDo3ZBy5f">https://zenodo.org/record/6559857#.Y0XDo3ZBy5f</a>. </p> <p>This presentation aims to present the original work - co-authored by 18 WG's members - in a condensed manner.</p>
Present‑day crustal deformation across the Daliang Shan, southeastern Tibetan Plateau: constrained by a dense GPS network
<p><strong>1. Intensive observations</strong> </p> <p>In this study, we collected and processed GPS data from three sources to obtain a crustal horizontal velocity field. The dataset from the first source was raw GPS observations primarily from Phase I of the Crustal Movement Observation Network of China (CMONOC), which was resurveyed every 2 or 3 years from 1999 to 2007, and Phase II of the CMONOC, which involved campaign surveys every year from 2009 to 2020 and continuous surveys from 2010. The dataset from the second source was obtained from the National Key Research and Development Program of China. This dataset contained data from 31 continuous-measurement sites located close to the Anninghe–Zemuhe–Daliangshan fault zone, which were operated from August 2019 to August 2021, and 38 campaign sites from the National GPS Geodetic Control Network of China (NGGCNC), which were measured in 2014 and 2019. All of the campaign surveys used dual-frequency GPS receivers and choke ring antennas, with an operation of 3–4 consecutive days. The dataset from the third source consisted of published GPS velocities from existing studies of the Daliang Shan and its adjacent areas.In this study, we collected and processed GPS data from three sources to obtain a crustal horizontal velocity field. The dataset from the first source was raw GPS observations primarily from Phase I of the Crustal Movement Observation Network of China (CMONOC), which was resurveyed every 2 or 3 years from 1999 to 2007, and Phase II of the CMONOC, which involved campaign surveys every year from 2009 to 2020 and continuous surveys from 2010. The dataset from the second source was obtained from the National Key Research and Development Program of China. This dataset contained data from 31 continuous-measurement sites located close to the Anninghe–Zemuhe–Daliangshan fault zone, which were operated from August 2019 to August 2021, and 38 campaign sites from the National GPS Geodetic Control Network of China (NGGCNC), which were measured in 2014 and 2019. All of the campaign surveys used dual-frequency GPS receivers and choke ring antennas, with an operation of 3–4 consecutive days. The dataset from the third source consisted of published GPS velocities from existing studies of the Daliang Shan and its adjacent areas.</p> <p><strong>2. Data processing</strong></p> <p>We employed the GAMIT and GLOBK software (Herring et al., 2015a, 2015b) to process the raw GPS data and derived the GPS positioning time series with respect to the international terrestrial reference frame for 2014 (ITRF2014) (Altamimi et al., 2017). We utilized the GAMIT software to process the double-differenced carrier-phase observations and acquired regional daily loosely constrained solutions for the site coordinates and satellite orbits. The geophysical models used have been described by Hao et al. (2021). In addition, we employed the same strategy to process ~70 evenly distributed ITRF core GPS sites to acquire global daily loosely constrained solutions. Then, we employed the GLOBK software to combine the same regional and global daily solutions to obtain a GPS time series.</p> <p>Three large earthquakes occurred in the study area: the 2004 M 9.1 Sumatra earthquake, the 2008 M 8.0 Sichuan Wenchuan earthquake, and the 2013 M 7.0 Sichuan Lushan earthquake. For the GPS time series for the campaign sites, we utilized the coseismic slip model of the 2004 Sumatra earthquake (Chlieh et al., 2007). We interpolated the coseismic displacements of the 2008 Wenchuan earthquake (Shen et al., 2009) to correct the coseismic offsets. We only used the data observed before 2008 for those GPS sites contaminated by significant postseismic deformation related to the 2008 Wenchuan earthquake (Wang & Shen, 2020). For the GPS sites affected by the coseismic deformation caused by the 2013 Lushan earthquake (Jiang et al., 2014), we also used data observed before the mainshock to mitigate the coseismic and postseismic deformation. After removing the transient deformation caused by the earthquakes, we used the weighted least-squares adjustment method to estimate linear trends of the velocities. We used the linear trend, seasonal variations, coseismic offset, and color noise model for the continuous GPS sites to fit the time series. We utilized the maximum likelihood estimation (MLE) technique and the CATS software (Williams et al., 2004; Williams., 2008) to estimate the characteristics of the noise in the residuals of the GPS time series after removing the linear trend and seasonal variations (Hao et al., 2016). Then, we obtained the GPS velocities with respect to the ITRF2014 and applied Euler rotation to transfer it to the Eurasia-fixed frame (Altamimi et al., 2017).</p> <p>The reference frames of the GPS velocities reported in previous studies are different from ours. Therefore, to transfer the latter to our selected frame, we employed the Helmert transformation with four parameters through common sites for our velocities and the published velocities. We only chose spatially uniformly distributed common sites with post-fit residuals of less than 1.0 mm/yr in the north-ward and east-ward components. Finally, we derived the geodetically consistent GPS crustal movement in the Daliang Shan and its adjacent areas with respect to the stable Eurasian Plate. Additionally, in order to reduce the residual rigid motion caused by the far-field reference of the Eurasian Plate, we chose the stable South China block as the near-field reference frame. Subsequently, our derived GPS velocities were translated into the South China block reference frame using the published Euler rotation vectors (Hao et al., 2019).</p> <p> </p> <p><strong>References </strong></p> <p>Altamimi, Z., Métivier, L, Rebischung, P., Rouby, H., Collilieux, X., 2017. ITRF2014 plate motion model. Geophys. J. Int. 209:1906–1912</p> <p>Chlieh, M., Avouac, J. P. , Hjorleifsdottir, V. , Song, T. , Ji, C. , Sieh, K., Sladen, A., Hebert, H., Prawirodirdjo, L., Bock, Y., Galetzka, J., 2007. Coseismic slip and afterslip of the great <em>M</em>w 9.15 Sumatra-Andaman earthquake of 2004. Bulletin of the Seismological Society of America, 97(1A), 152–173.</p> <p>Hao, M., Freymueller, J. T., Wang, Q. L., Cui, D. X., Qin, S. L. 2016. Vertical crustal movement around the southeastern Tibetan Plateau constrained by GPS and GRACE data. Earth and Planetary Science Letters, 437, 1-8. http://dx.doi.org/10.1016/j.epsl.2015.12.038.</p> <p>Hao, M., Li, Y., Zhuang, W., 2019. Crustal movement and strain distribution in east Asia revealed by GPS observations. Scientific Reports, https://doi.org/10.1038/s41598-019-53306-y, 16797.</p> <p>Hao, M., Wang, Q., Zhang, P., Li, Z., Li, Y., Zhuang, W., 2021. “Frame wobbling” causing crustal deformation around the Ordos block. Geophysical Research Letters 48, e2020GL091008. https://doi.org/10.1029/2020GL091008.</p> <p>Herring, T.A., King, R.W., McClusky, S.C., 2015a. GAMIT reference manual, GPS analysis at MIT, Release 10.6. Massachusetts Institute of Technology, Cambridge.</p> <p>Herring, T.A., King, R.W., McClusky, S.C., 2015b. GAMIT reference manual, global Kalman filter VLBI and GPS analysis program, Release 10.6. Massachusetts Institute of Technology, Cambridge.</p> <p>Jiang, Z., Wang, M., Wang, Y., Wu, Y., Che, S., Shen, Z.K., Bürgmann, R., Sun, J., Yang, Y., Liao, H., Li, Q., 2014. GPS constrained coseismic source and slip distribution of the 2013 Mw6.6 Lushan, China, earthquake and its tectonic implications. Geophysical Research Letters 41, 407–413, doi:10.1002/2013GL058812.</p> <p>Shen, Z.K., Sun, J., Zhang, P., Wan, Y., Wang, M., Bürgmann, R., Zeng, Y.H., Gan, W.J., Wang, Q.L., 2009. Slip maxima at fault junctions and rupturing of barriers during the 2008 Wenchuan earthquake. Nat Geosci 2:718–724.</p> <p>Wang, M., Shen, Z.K., 2020. Present-day crustal deformation of continental China derived from GPS and its tectonic implications. J. Geophys. Res. 125 (2) https://doi. org/10.1029/2019JB018774.</p> <p>Williams, S.D.P., 2008. CATS: GPS coordinate time series analysis software. GPS Solutions, 12, 147–153. <a href="http://dx.doi.org/10.1007/s10291-007-0086-4">http://dx.doi.org/10.1007/s10291-007-0086-4</a>.</p> <p>Williams, S.D.P., Bock, Y., Fang, P., Jamason, P., Nikolaidis, R.M., Prawirodirdjo, L., Miller, M., Johnson, D.J. 2004. Error analysis of continuous GPS position time series. J. Geophys. Res. 109 (B03412). http://dx.doi.org/10.1029/2003JB002741.</p> <p> </p> <p> </p>
Data presented in "Characteristics of a magneto-optical trap of molecules"
<p>Data presented in the figures of our paper "Characteristics of a magneto-optical trap of molecules". The data is provided for figures 4a, 4b, 5a, 5b, 6a, 6b, 6c, 6d, 8a, 8b, 8c, 8d, 10a, 10b, 10c, 10d, 11a, 11b, 11c, 11d, 12b, 12c, 13a, 13b, 14a, 14b, 14c, 15, 16a and 16b.</p>
Presenting is telling a story (two parts video)
<p>Slide adalah media penyampaian ide. Banyak orang merasa harus menggunakan slide.Tapi kalau anda punya kisah yang menarik, maka slide bukanlah yang utama. Paparan ini disampaikan dalam acara lokakarya berseri yang diadakah oleh KAMIL, organisasi mahasiswa pascasarjana di ITB. Acara diadakan tanggal 15 September 2017 di Ruang Multimedia CC Timur. Slide paparan telah diunggah di Slideshare (https://www.slideshare.net/d_erwin_ir...). Semoga bermanfaat. @dasaptaerwin</p>
Adaptation required to preserve future high-end river flood risk at present levels
<p>Dataset accompanying the publication</p> <p>S.N. Willner, A. Levermann, F. Zhao, K. Frieler, Adaptation required to preserve future high-end river flood risk at present levels. Sci. Adv. 4, eaao1914 (2018).</p> <p>The dataset includes the increase in flood protection that is required to keep the observed high-end flood risk of the past constant in the next 25 years as well as the affected population in both periods used (1971-2004 and 2035-2044).</p>
Data presented in "Blue-detuned magneto-optical trap"
<p>Data presented in figures 1, 2, 3, 4 and 5 of our paper "Blue-detuned magneto-optical trap"</p>
FUR4Sustain COST Action (CA18220) Presentation Video
<p>FUR4Sustain COST Action (CA18220) - Modern society relies on a huge quantity of polymeric materials almost exclusively based on fossil resources and making use of a non-sustainable approach of development. Taking this into account, this COST Action was born from the idea and the absolute need of creating a network of experts in the whole-value chain of furan materials, including polymers (the so-called plastics), but also starting biomass feedstocks together with the planning of these new products end-life.</p> <p>All of this aiming at a better future based on a sustainable model of development!</p>
Helperfiles for using hmmix for calling archaic introgression into present day humans (both hg19 and hg38)
<p>These files are:</p> <p>1) Strict callability masks from 1000 genomes project in hg19 and hg38 coordinates</p> <p>2) Outgroup files:</p> <p>hg38_Outgroup_1000g_HGDP.txt: Frequencies of derived alleles in 490 present individuals with Sub-Saharan related ancestry: 426 from 1000genomes project and 64 from HGDP (total=490) Only first two columns are used by hmmix. The remaining columns what the reference base (hg38 refgenome), ancestral base, derived bases and the frequency of the derived bases in HGDP and 1000genomes</p> <p>hg19_Outgroup_1000g.txt: Frequencies of derived alleles in 292 present individuals with Sub-Saharan related ancestry from 1000genomes</p> <p>3) The mutation rate files are based on the outgroup files. They report the mutation rate in 1 Mb window scaled by the genomewide mutation rate </p> <p>4) The reference genome for hg19 and hg38</p> <p>5) The ancestral allele calls for hg19 and hg38</p>
Data presented in Dupont et al. 2024 "Impact of dust source patchiness on the existence of a constant dust flux layer during aeolian erosion events"
<p>Meteorological and dust data used in Dupont et al. 2024. Data are based on measurements recorded above two erosive surfaces from two very different desert regions, one at a high-latitude location in Iceland and the other at a low-latitude location in Jordan. The Iceland campaign was co-organized by two projects: FRAGMENT (FRontiers in dust minerAloGical coMposition and its Effects upoN climaTe) and HiLDA (Iceland as a model for high-latitude dust sources – a combined experimental and <br>modeling approach for characterization of dust emission and transport processes); and the Jordan campaign (J-WADI: Jordan Wind erosion And Dust Investigation) was co-organized by the FRAGMENT and Helmholtz Young Investigator Group ``A big unknown in the climate impact of atmospheric aerosol: Mineral soil dust'' projects.</p>
Replication Package: The Past, Present, and Future of Research on the Continuous Development of AI
<p>Replication package for the publication regarding the <strong>The Past, Present, and Future of Research on the Continuous Development of AI.</strong></p> <p> </p> <p> </p>
Supplementary File 10; The full data set used for the analysis presented herein:
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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.