cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5517/ccdc.csd.cc2chrwj
title: CCDC 2189898: Experimental Crystal Structure Determination

description: Related Article: Tingting Huang|2022|CSD Communication|||
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc2dkn6v
title: CCDC 2221497: Experimental Crystal Structure Determination

description: Related Article: Eric Anthony, Axel Klein|2022|CSD Communication|||
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.6084/m9.figshare.21621087
title: Salmonella effector SopB reorganizes cytoskeletal vimentin to maintain replication vacuoles for efficient infection

description: The raw date of high-content imaging based screening. The specific screening process is as follows: Actin-mCherry and vimentin-GFP double-labeled stable expression cells were seeded in 384-well plates. After cells reached 70% - 80% confluence, 1694 inhibitors from Selleck chemicals library (US) were added at a dose of 1 µM, respectively. Three duplicates were performed for each compound. After 12 hours of treatment, cells were washed three times with PBS and fixed with 4% PFA. The nuclei were counterstained with DAPI, and cells were imaged by Operetta CLS High-content Imaging and Analysis System (PerkinElmer, US).
DOI: 10.6084/m9.figshare.21621087.v4
title: Salmonella effector SopB reorganizes cytoskeletal vimentin to maintain replication vacuoles for efficient infection

description: The raw date of high-content imaging based screening. The specific screening process is as follows: Actin-mCherry and vimentin-GFP double-labeled stable expression cells were seeded in 384-well plates. After cells reached 70% - 80% confluence, 1694 inhibitors from Selleck chemicals library (US) were added at a dose of 1 µM, respectively. Three duplicates were performed for each compound. After 12 hours of treatment, cells were washed three times with PBS and fixed with 4% PFA. The nuclei were counterstained with DAPI, and cells were imaged by Operetta CLS High-content Imaging and Analysis System (PerkinElmer, US).
DOI: 10.6084/m9.figshare.21621087.v3
title: Salmonella effector SopB reorganizes cytoskeletal vimentin to maintain replication vacuoles for efficient infection

description: The raw date of high-content imaging based screening. The specific screening process is as follows: Actin-mCherry and vimentin-GFP double-labeled stable expression cells were seeded in 384-well plates. After cells reached 70% - 80% confluence, 1694 inhibitors from Selleck chemicals library (US) were added at a dose of 1 µM, respectively. Three duplicates were performed for each compound. After 12 hours of treatment, cells were washed three times with PBS and fixed with 4% PFA. The nuclei were counterstained with DAPI, and cells were imaged by Operetta CLS High-content Imaging and Analysis System (PerkinElmer, US).
DOI: 10.21227/2gm7-9z72
title: DISC datase

description: This dataset provides Channel Impulse Response (CIR) measurements from standard-compliant IEEE 802.11ay packets to validate Integrated Sensing and Communication (ISAC) methods. The CIR sequences contain reflections of the transmitted packets on people moving in an indoor environment. They are collected with a 60 GHz software-defined radio experimentation platform based on the IEEE 802.11ay Wi-Fi standard, which is not affected by frequency offsets by operating in full-duplex mode. 
The dataset is divided into two parts:
1)	The first one consists of almost 40 minutes of IEEE 802.11ay CIR sequences including signal reflections on 7 subjects performing 4 different activities, i.e., walking (A0), running (A1), sitting down-standing up (A2), and waving hands (A3). This part is characterized by uniform packet transmission times, with a granularity of over 3 CIR estimates per millisecond, yielding extremely high temporal resolution. 
2)	In the second part, we use open-source data on Wi-Fi traffic patterns to tune the inter-packet duration and collect more realistic sparse CIR sequences. The resulting CIR measurements, for a total of 9 minutes, are collected with a single subject performing the same 4 activities included in the first part. In the second part, we also use the directional transmission capabilities of our testbed to allow the estimation of the Angle of Arrival (AoA) of the reflections.
We envision our dataset being used by researchers to train and validate machine and deep learning algorithms for fine-grained sensing. Possible use cases include, but are not limited to, the extraction of the micro-Doppler signatures of human movement from the CIR, which enables deep learning-based human activity recognition, and person identification from individual gait features. In addition, new ISAC problems such as the sparse reconstruction of sensing parameters from irregularly sampled signal traces, domain adaptation from regularly sampled signals to sparse ones, and target tracking under missing measurements can also be tackled using the provided dataset.
DOI: 10.5519/qd.tj3h8h5z
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (5375994 records)
DOI: 10.6084/m9.figshare.21621162
title: dataset_minimum_bayes_factor.zip

description: dataset used in the minimum bayes factor
DOI: 10.6084/m9.figshare.21621162.v1
title: dataset_minimum_bayes_factor.zip

description: dataset used in the minimum bayes factor
DOI: 10.26169/hplus.ohge_seismic_profiles
title: Seismic profiles measured on the Strengbach catchment (OHGE observation site), France
DOI: 10.6084/m9.figshare.18131164
title: Sounding out a continent: seven decades of bioacoustics research in Africa

description: Bioacoustics has emerged as a useful method of data collection and analysis for diverse animals in a wide range of environments and has helped to describe, monitor, and conserve some of Africa’s species biodiversity. However, little is known about how much it contributes to the continent’s research corpus. We report results from a systematic review of bioacoustics applications in Africa that summarises the current state of the field and identifies research opportunities. Using keyword searches of bibliographic databases, scanning reference lists, and placing appeals to the bioacoustics community in Africa we identified 727 publications between 1953 and mid-2020. We documented variables ranging from publication type and author affiliation, geographic location, biome and habitat, biological groups, and research type. Most (69%) studies were focused on animal behaviour, with terrestrial species (88.6%), particularly mammals, substantially outweighing research on freshwater (4.8%) and marine (6.6%) habitats. The majority (74.3%) of authors who have contributed to this body of knowledge were non-African affiliates. Our review suggests that bioacoustics research in Africa has considerable room to expand institutionally, taxonomically, and thematically. We highlight the need and potential for more locally driven research and provide a roadmap for future bioacoustics applications across the continent.
DOI: 10.5281/zenodo.7359818
title: SWaveform resource CHM data

description: This is a part of data associated with SWaveform resource (swaveform.compbio.ru). The data encompasses depth of coverage (DOC) signals from YRI, CHS and PUR family trio's children characterized in Chaisson et al [Chaisson, Mark J P et al., 2019]. We envision it to be a demo collection to deploy the SWaveform locally and to test the accompanying toolset.
DOI: 10.5281/zenodo.7359817
title: SWaveform resource CHM data

description: This is a part of data associated with SWaveform resource (swaveform.compbio.ru). The data encompasses depth of coverage (DOC) signals from YRI, CHS and PUR family trio's children characterized in Chaisson et al [Chaisson, Mark J P et al., 2019]. We envision it to be a demo collection to deploy the SWaveform locally and to test the accompanying toolset.
DOI: 10.5281/zenodo.7358763
title: Post-remediation evaluation of contaminated site using geophysical methods: Digital Elevation Model Olkusz (Poland) 20220629

description: The Digital Elevation Model is based on 449 aerial photos taken by a Mavic PRO Unmanned Aerial Vehicle (UAV) fitted with an FC220 camera (focal<br> length: 35 mm; charge-coupled device: 5472 × 3078 pixels, DJI, Shenzhen, China) on 29 June 2022. The final product is a DEM with a 51.1 cm/pix raster field resolution. These products were mapped in the ellipsoid WGS 84 (EPSG:4326). This research was funded by National Science Centre, Poland MINIATURA-5 2021/05/X/ST10/00673 “Post-remediation evaluation of contaminated site using geophysical methods”
DOI: 10.5281/zenodo.7358762
title: Post-remediation evaluation of contaminated site using geophysical methods: Digital Elevation Model Olkusz (Poland) 20220629

description: The Digital Elevation Model is based on 449 aerial photos taken by a Mavic PRO Unmanned Aerial Vehicle (UAV) fitted with an FC220 camera (focal<br> length: 35 mm; charge-coupled device: 5472 × 3078 pixels, DJI, Shenzhen, China) on 29 June 2022. The final product is a DEM with a 51.1 cm/pix raster field resolution. These products were mapped in the ellipsoid WGS 84 (EPSG:4326). This research was funded by National Science Centre, Poland MINIATURA-5 2021/05/X/ST10/00673 “Post-remediation evaluation of contaminated site using geophysical methods”
DOI: 10.5281/zenodo.7358767
title: Post-remediation evaluation of contaminated site using geophysical methods: Ortophotomosaic Olkusz (Poland) 20220629

description: The orthophotomap is based on 449 aerial photos taken by a Mavic PRO Unmanned Aerial Vehicle (UAV) fitted with an FC220 camera (focal length: 35 mm; charge-coupled device: 5472 × 3078 pixels, DJI, Shenzhen, China) on 29 June 2022. The final product is an orthophotomap with a 2.57 cm/pix raster field resolution. These products were mapped in the ellipsoid WGS 84 (EPSG:4326). This research was funded by National Science Centre, Poland MINIATURA-5 2021/05/X/ST10/00673 “Post-remediation evaluation of contaminated site using geophysical methods”
DOI: 10.5281/zenodo.7358766
title: Post-remediation evaluation of contaminated site using geophysical methods: Ortophotomosaic Olkusz (Poland) 20220629

description: The orthophotomap is based on 449 aerial photos taken by a Mavic PRO Unmanned Aerial Vehicle (UAV) fitted with an FC220 camera (focal length: 35 mm; charge-coupled device: 5472 × 3078 pixels, DJI, Shenzhen, China) on 29 June 2022. The final product is an orthophotomap with a 2.57 cm/pix raster field resolution. These products were mapped in the ellipsoid WGS 84 (EPSG:4326). This research was funded by National Science Centre, Poland MINIATURA-5 2021/05/X/ST10/00673 “Post-remediation evaluation of contaminated site using geophysical methods”
DOI: 10.34740/kaggle/dsv/4583019
title: AutoXGB
DOI: 10.5285/cdc7153f-f3ed-4c5e-b07a-7a9a1e1bb00c
title: Palynology, Rock-Eval and Thermal Maturity data for the Holywell Shale Formation from the Ellesmere Port 1 Borehole

description: Four data tables are included: 1. Rock-Eval 6 pyrolysis and stable isotope data: includes sample number; Depth in meters; S1, S2, S3, present day hydrogen index, present day oxygen index in milligram hydrocarbons per grams of rock; Tmax in degrees Celsius; total organic carbon (TOC), pyrolyzed carbon (PC), remaining carbon (RC) in %; proportion of TOC that is pyrolyzed in %; δ13C in ‰. 2. Palynological counts: raw counts of the palynofacies analysis. Includes MPA (micropalaeontology sample number), SSK (subsample Keyworth) number provided by the National Geological Repository; Depth in meters; the raw counts grouped by Heterogeneous amorphous organic matter (AOM), Homogeneous AOM, Phytoclasts, Spores and Pollen, Fungal debris and Mineral Matter. 3. Thermal Maturity as random mean vitrinite reflectance data: includes SSK sample number, depth in meters; mean random vitrinite reflectance (%Rr), Standard Deviation (SD) and the number of measurements taken for each sample (n). 4. Spore counts: Includes MPA (micropalaeontology sample number), SSK (subsample Keyworth) number provided by the National Geological Repository; Depth in meters; raw counts of spores identified in selected samples. All the data are based on sample materials from the Holywell Shale Formation from the Ellesmere Port 1 Borehole. These data are in support of: Hennissen et al.’s The Holywell Shale Formation in the Blacon Basin: resource potential in the Geological Society of London Special Publications.
DOI: 10.15131/shef.data.20310591
title: Data for paper: Characterisation, modelling and design of cut-off wavelength of InGaAs/GaAsSb Type-II Superlattice Photodiodes

description: Files in this repository correspond to the results shown in "Characterisation, modelling and design of cut-off wavelength of InGaAs/GaAsSb Type-II Superlattice Photodiodes", J. D. Petticrew et al. submitted to the journal Semiconductor Science and Technology. <br> The figure files contain the graphical figures (.png or .jpeg) and the data (.csv) behind them. Simulation parameters.pdf contains the simulation parameters used in the model implimented in nextnano as part of this work. <br> This manuscript focuses on the characterisation and modelling of InGaAs/GaAsSb Type-II Superlattices.
DOI: 10.15131/shef.data.20310591.v1
title: Data for paper: Characterisation, modelling and design of cut-off wavelength of InGaAs/GaAsSb Type-II Superlattice Photodiodes

description: Files in this repository correspond to the results shown in "Characterisation, modelling and design of cut-off wavelength of InGaAs/GaAsSb Type-II Superlattice Photodiodes", J. D. Petticrew et al. submitted to the journal Semiconductor Science and Technology. <br> The figure files contain the graphical figures (.png or .jpeg) and the data (.csv) behind them. Simulation parameters.pdf contains the simulation parameters used in the model implimented in nextnano as part of this work. <br> This manuscript focuses on the characterisation and modelling of InGaAs/GaAsSb Type-II Superlattices.
DOI: 10.5281/zenodo.3894880
title: Associated Dataset for DeepCAT

description: Deep Learning Method to Identify Cancer Associated TCRs
DOI: 10.5281/zenodo.7333894
title: Glacier surface elevation estimates for a glacier in the Poiqu river basin, Central Himalaya.

description: This zip folder contains tif files representing glacier surface elevation estimates under two different scenarios of thinning towards the year 2100, informed by past (2000-2015) thinning rates which have been extrapolated into the future. These results are presented in the paper by Allen et al. 2022, <em>Glacial lake outburst flood hazard under current and future conditions: worst-case scenarios in a transboundary Himalayan basin, </em>Natural Hazards and Earth System Science, https://doi.org/10.5194/nhess-22-1-2022.
DOI: 10.5281/zenodo.6592098
title: Acknowledged scholars extracted from open access journals

description: <strong>Published paper</strong><br> For details of the data development: Kusumegi, K., Sano, Y. Dataset of identified scholars mentioned in acknowledgement statements. Sci Data 9, 461 (2022). https://doi.org/10.1038/s41597-022-01585-y To use the data, please cite the above mentioned paper . <strong>Data on scholars mentioned in acknowledgments extracted from open access journals.</strong> This data firstly updated the repository at University of Tsukuba (Division of Policy and Planning Sciences Commons). https://commons.sk.tsukuba.ac.jp/data_en <pre> <strong>Each csv correspond to:</strong> biology.csv as PLOS Biology compbiology.csv as PLOS Computational Biology genetics.csv as PLOS Genetics medicine.csv as PLOS Medicine ntds.csv as PLOS Neglected Tropical Diseases pathogenes.csv as PLOS Pathogens plosone.csv as PLOS ONE srep.csv as Scientific Reports Data details: Doi: DOI of the paper PaperId: Paper ID in MAG AcknowledgedId: Acknowledged scholar's ID in MAG CollaborationApproach: Acknowledged scholar is identified by collaboration relationship CitationApproach: Acknowledged scholar is identified by citation relationship </pre>
DOI: 10.6084/m9.figshare.13516220
title: Dye-sensitized Solar Cell Database

description: A Dye-sensitized Solar-Cell Device Database Auto-generated Using ChemDataExtractor
DOI: 10.6084/m9.figshare.13516238
title: Perovskite Solar Cell Database

description: Perovskite Solar Cell Device Database Auto-generated Using ChemDataExtractor
DOI: 10.6084/m9.figshare.15057225
title: NWELD_zip

description: NWELD represents the geospatial footprint of electricity produced from the energy and water sectors of the lower 48 United States. Specifically, it depicts the extraction, production, and transmission of the following energy types: coal, hydro, natural gas, petroleum, nuclear, solar, wind, and biomass.
DOI: 10.6084/m9.figshare.21069313
title: Supplementary Material for: Development of a Bronchoscopy-Radiologic Skills and Task Assessment Tool (BRadSTAT): A Tool for Evaluating the Radiological Skills of Bronchoscopists with Different Experience

description: <b><i>Background:</i></b> Competency using radiologic images for bronchoscopic navigation is presumed during subspecialty training, but no assessments objectively measure combined knowledge of radiologic interpretation and ability to maneuver a bronchoscope into peripheral airways. <b><i>Objectives:</i></b> The objectives of this study were (i) to determine whether the Bronchoscopy-Radiology Skills and Tasks Assessment Tool (BRadSTAT) discriminates between bronchoscopists of various levels of experience and (ii) to improve construct validity using study findings. <b><i>Methods:</i></b> BRadSTAT contains 10 questions that assess chest X-ray and CT scan interpretation using multiple images per question and 2 technical skill assessments. After administration to 33 bronchoscopists (5 Beginners, 9 Intermediates, 10 Experienced, and 9 Experts), discriminative power was strengthened using differential weighting on CT-related questions, producing the BRadSTAT-CT score. Cut points for both scores were determined via cross-validation. <b><i>Results:</i></b> Mean BRadSTAT scores for Beginner, Intermediate, Experienced, and Expert were 74 (±13 SD), 78 (±14), 86 (±9), and 88 (±8), respectively. Statistically significant differences were noted between Expert and Beginner, Expert and Intermediate, and Experienced and Beginner (all <i>p</i> ≤ 0.05). Mean BRadSTAT-CT scores for Beginner, Intermediate, Experienced, and Expert were 63 (±14), 74 (±15), 82 (±13), and 90 (±9), respectively, all statistically significant (<i>p</i> ≤ 0.03). Cut points for BRadSTAT-CT had lower sensitivity but greater specificity and accuracy than for BRadSTAT. <b><i>Conclusion:</i></b> BRadSTAT represents the first validated assessment tool measuring knowledge and skills for bronchoscopic access to peripheral airways, which discriminates between bronchoscopists of various experience levels. Refining BRadSTAT produced the BRadSTAT-CT, which had higher discriminative power. Future studies should focus on their usefulness in competency-based bronchoscopy programs.
DOI: 10.13012/b2idb-9087546_v1
title: Genni + Ethnea for the Author-ity 2009 dataset

description: Prepared by Vetle Torvik 2018-04-15 The dataset comes as a single tab-delimited ASCII encoded file, and should be about 717MB uncompressed. • How was the dataset created? First and last names of authors in the Author-ity 2009 dataset was processed through several tools to predict ethnicities and gender, including Ethnea+Genni as described in: <i>Torvik VI, Agarwal S. Ethnea -- an instance-based ethnicity classifier based on geocoded author names in a large-scale bibliographic database. International Symposium on Science of Science March 22-23, 2016 - Library of Congress, Washington, DC, USA. http://hdl.handle.net/2142/88927</i> <i>Smith, B., Singh, M., & Torvik, V. (2013). A search engine approach to estimating temporal changes in gender orientation of first names. Proceedings Of The ACM/IEEE Joint Conference On Digital Libraries, (JCDL 2013 - Proceedings of the 13th ACM/IEEE-CS Joint Conference on Digital Libraries), 199-208. doi:10.1145/2467696.2467720</i> EthnicSeer: http://singularity.ist.psu.edu/ethnicity <i>Treeratpituk P, Giles CL (2012). Name-Ethnicity Classification and Ethnicity-Sensitive Name Matching. Proceedings of the Twenty-Sixth Conference on Artificial Intelligence (pp. 1141-1147). AAAI-12. Toronto, ON, Canada</i> SexMachine 0.1.1: https://pypi.org/project/SexMachine First names, for some Author-ity records lacking them, were harvested from outside bibliographic databases. • The code and back-end data is periodically updated and made available for query at Torvik Research Group • What is the format of the dataset? The dataset contains 9,300,182 rows and 10 columns 1. auid: unique ID for Authors in Author-ity 2009 (PMID_authorposition) 2. name: full name used as input to EthnicSeer) 3. EthnicSeer: predicted ethnicity; ARA, CHI, ENG, FRN, GER, IND, ITA, JAP, KOR, RUS, SPA, VIE, XXX 4. prop: decimal between 0 and 1 reflecting the confidence of the EthnicSeer prediction 5. lastname: used as input for Ethnea+Genni 6. firstname: used as input for Ethnea+Genni 7. Ethnea: predicted ethnicity; either one of 26 (AFRICAN, ARAB, BALTIC, CARIBBEAN, CHINESE, DUTCH, ENGLISH, FRENCH, GERMAN, GREEK, HISPANIC, HUNGARIAN, INDIAN, INDONESIAN, ISRAELI, ITALIAN, JAPANESE, KOREAN, MONGOLIAN, NORDIC, POLYNESIAN, ROMANIAN, SLAV, THAI, TURKISH, VIETNAMESE) or two ethnicities (e.g., SLAV-ENGLISH), or UNKNOWN (if no one or two dominant predictons), or TOOSHORT (if both first and last name are too short) 8. Genni: predicted gender; 'F', 'M', or '-' 9. SexMac: predicted gender based on third-party Python program (default settings except case_sensitive=False); female, mostly_female, andy, mostly_male, male) 10. SSNgender: predicted gender based on US SSN data; 'F', 'M', or '-'
DOI: 10.18120/vn47-d626
title: A unified cognitive network model of language
DOI: 10.23645/epacomptox.16744162
title: Development of a Flame Retardant and an Organohalogen Flame Retardant Chemical Inventory

description: Katherine Phillips dataset for journal article "The US CPSC/EPA Flame Retardant and Organohalogen Flame Retardant Inventory" for Scientific Data<br>Science Inventory, CCTE products: https://cfpub.epa.gov/si/si_public_search_results.cfm?advSearch=true&showCriteria=2&keyword=CCTE&TIMSType=&TIMSSubTypeID=&epaNumber=&ombCat=Any&dateBeginPublishedPresented=07/01/2017&dateEndPublishedPresented=&dateBeginUpdated=&dateEndUpdated=&DEID=&personName=&personID=&role=Any&journalName=&journalID=&publisherName=&publisherID=&sortBy=pubDate&count=25
DOI: 10.5281/zenodo.4917086
title: A dataset of mentorship in science with semantic and demographic estimations

description: A dataset of mentorship in science.
DOI: 10.6084/m9.figshare.13655975
title: Characteristics of volunteers

description: Description of the volunteers including age, sex, height and others anthropometric data.<br>A complete description of the volunteers can be found on figshare ID(13655975) at https://doi.org/10.6084/m9.figshare.13655975.v9Complete dataset of C3D files for OsteoArthritis Patients can be found on figshare ID(14420645) at https://doi.org/10.6084/m9.figshare.14420645.v2Complete dataset of C3D files or healthy volunteers can be found on figshare ID(14420756) at https://doi.org/10.6084/m9.figshare.14420756.v2 <br>Arff files could also be downloaded on figshare (https://doi.org/10.6084/m9.figshare.15022827.v1 and https://doi.org/10.6084/m9.figshare.13656233.v4) with label details here (https://doi.org/10.6084/m9.figshare.13656047.v3)