Find research datasets worth reusing

opencc-zeroMar 2023View details →

US National Native Bee Monitoring RCN Data Management Workshop: Public Domain Videos

The US National Native Bee Monitoring Research Coordination Network (RCN) held a two-day workshop on data management best practices for native bee inventory, survey, and monitoring data on March 28 and 30, 2023. Videos in this data set were played at the workshop. These videos are released into the public domain. This data set includes the following videos: <ul> <li>Ecological Metadata Standards to Enable Data Reuse by Julien Brun</li> <li>Useful Photo Management for Bee Species by Sam Droege</li> <li>Trait Data Models and Vocabulary by Jen Hammock</li> <li>Symbiota: open-source community portals for insect data management by Andrew Johnston</li> <li>Moving data from the field to the world by Jonathan Koch</li> <li>Exploring data using Discover Life by Clare Maffei</li> <li>USDA Data Sharing Policies and Opportunities by Cynthia Sims Parr</li> <li>Why Share Species Interaction Data? by Jorrit H. Poelen</li> <li>Big-Bee: Sharing Bee Interactions & Traits by Katja C. Seltmann</li> <li>Let’s talk about data by Katja C. Seltmann</li> <li>Responsible use of museum specimens & their data by Erika M. Tucker</li> </ul>

opencc-by-4.0Oct 2022View details →

Dataset for publication "Synthesis and physical characteristics of narrow bandgap chalcogenide SnZrSe3"

This dataset contains underlying data of publication entitled "Synthesis and physical characteristics of narrow bandgap chalcogenide SnZrSe3".  Data comprises:  -Sample description.txt (synthesis conditions of the sample presented in the publication) -F1IS_V_6244.cif (crystallographic information file about SnZrSe3 structure as determined by single-crystal XRD method). - XRD.zip (raw XRD patterns of powder samples presented in the publication in .ras and .raw formats). -Raman.zip (raw Raman spectra in .txt format and OriginPro project file where data was processed and plotted). -Optics.zip (raw diffuse reflectance data in .txt format and OriginPro project file where data was processed and plotted). -JV-T.zip (J-V curves at specific temperature in .txt format and OriginPro project files where data was processed and plotted). -Images.zip (optical photographs of the sample and untreated SEM images of SnZrSe3 crystals). -Extented data.pdf (additional information supporting claims in the publication with direct link to the main text, such as figures).

opencc-by-4.0Apr 2023View details →

A study on biomedical researchers' perspectives on public engagement in Southeast Asia

Qualitative data on researcher's perceptions of public and community engagement in South and Southeast Asia

opencc-by-4.0Apr 2023View details →

Wordlist files of lexical data from Papua New Guinea and western Solomons Oceanic languages collated for Ross's 1986 PhD thesis and 1988 publication thereof

It occurs to me that the files containing Western Oceanic lexical data that I collected in the late 70s/early 80s for my PhD (Ross 1988) might be useful to someone. They are also used in the volumes of The lexicon of Proto Oceanic (Ross, Pawley & Osmond 1998, 2003, 2011, 2016, 2023). In any case, it is right that they be made publicly available, something that wasn't so easy back then. Most of the material is from wordlists that I collected during fieldwork in Papua New Guinea from around 1978 to 1982. The file cor06 is omitted because it contains SE Solomonic data (outside Western Oceanic) drawn from Tryon & Hackman 1983. I keyed the data into text files in a format such that each line was the entry for a single word, and each field within an entry was marked by a backslash code (I adapted this format from SIL's conventions at the time), then arranged them in cognate sets, each set separated from the next by an empty line. This work was done between 1983 and 1985, when text files were the best way to store data. They were entered on a terminal connected to a mainframe computer at the ANU. I have converted the ASCII symbols used in the original files into UTF-8 here in the interests of readability. The conversion was largely automatic, and I have not done a full check of each file, so there may be glitches. Each file contains languages from a region, as listed below (and the regions sometimes cut across subgroups determined by the comparative method). Three-letter abbreviations are used for language names, and two key files are also provided, one (COR-abbrevs) ordered by regions (determined by the numerals that start each line), the other by alphabetical order of language name (COR-abbrevs-alph). Some three-letter codes are followed by a hyphen and an extra letter. These are dialects. For example, MUM stands for Mumeng and MUM-P for the Patep dialect of Mumeng. Data files are labelled with COR (for 'correspondence sets') plus a numeral. The numerals are: 1-3 New Ireland; 4 Willaumez Peninsula (New Britain) area; 5 NW Solomonic; 7+8 Papuan Tip; 9 Vitiaz Strait area and NG north coast; 10 Huon Gulf and Markham Valley; 11 South and west New Britain. 7+8 are partial only. When I keyed the files, I had to rely on a mainframe's nightly back-up onto tape spools. One night the system failed, and so did the restore, and I lost some data. The backslash codes in the data files are: \l language; \p protolanguage; \w word; \g gloss; \n note; \s source. The formatting of these files is a little odd, since they served as input to routines I wrote to pull out sound correspondences. Anything after '%' is the elicited form: what immediately precedes '%' has had something 'undone', e.g. metathesis. The orthography of the files is phonemic and largely obvious. The conventions are set out in the introductions to the volumes of The lexicon of Proto Oceanic. Finally, the files also contain reconstructions at various interstages at the top of a cognate set. These were inserted for heuristic reasons during my research. Many of them did not survive into my PhD thesis, and they should preferably be ignored. The reader who is interested in current Oceanic reconstructions should turn to the volumes of The lexicon of Proto Oceanic.

opencc-by-4.0Dec 2022View details →

Data underlying the publication: "Effects of hatching system on chick quality, welfare and health of young breeder flock offspring"

The aim of the current study was to evaluate effects of two alternative hatching systems (hatchery-feeding and on-farm hatching) compared to conventional hatching systems with respect to chick quality, welfare and health of a young breeder flock. To study the effect of treatments on the competence of the humoral immune response, blood titres after a live attenuated NCD vaccination was assessed. To study differences in disease resilience, the susceptibility to develop tracheal inflammation after infection with a life attenuated infectious bronchitis vaccine virus was assessed by trachea lesion scoring and expression of genes related to epithelial integrity and inflammatory responses.

opencc-by-4.0Apr 2023View details →

Dataset (81 forest parcels) supplementing the publication "Owner attitudes and landscape parameters drive stand structure and valuable habitats in small-scale private forests of Lower Saxony (Germany)"

The dataset about 81 small-scale private forest parcels contains the answer variables and predictors used in the publication "Owner attitudes and landscape parameters drive stand structure and valuable habitats in small-scale private forests of Lower Saxony (Germany)".

opencc-by-4.0Dec 2022View details →

Food4Me - personalised nutrition European 9 countries public acceptance survey - Dataset from WP2

This data set consists of a large cross-country survey conducted for the EU funded project Food4Me in 2013. It contains determinants for consumer acceptance and intention to use of personalized nutrition advices based on different levels of specificity and personality of data –self-reported intake, blood analysis and DNA based analysis of optimal nutrition patterns. Data are provided in SPSS and interoperable .CSV format. Surveys and metainformation are added in interoperable .RTF format. The underlying survey is present in 8 languages English, German, Spanish, Norwegian, Dutch, Portuguese, Greek and Polish. Used scales are sourced to the originals in the description file.

Federated Learning for Distributed Intrusion Detection Systems in Public Networks - Validation Dataset

This dataset has been meticulously prepared and utilized as a validation set during the evaluation phase of "Meta IDS" to asses the performance of various machine learning models. It is  now made available for interested users and researchers who seek a reliable and diverse dataset for training and testing their own custom models. The validation dataset comprises a comprehensive collection of labeled entries, that determines whether the packet type is "malicious" or "benign." It covers complex design patterns that are commonly encountered in real-world applications. The dataset is designed to be representative, encompassing edge and fog layers that are in contact with cloud layer, thereby enabling thorough testing and evaluation of different models. Each sample in the dataset is labeled with the corresponding ground truth, providing a reliable reference for model performance evaluation.   To ensure convenient distribution and storage, the dataset has been broken down into three separate batches, each containing a portion of the dataset. This allows for convenient downloading and management of the dataset. The three batches are provided as individual compressed files.   In order to extract the data, follow the following instructions: <ul> <li>Download and install bzip2 (if not already installed) from the official website or your package manager.</li> <li>Place the compressed dataset file in a directory of your choice.</li> <li>Open a terminal or command prompt and navigate to the directory where the compressed dataset file is located.</li> <li>Execute the following command to uncompress the dataset: <ul> <li>bzip2 -d filename.bz2</li> </ul> </li> <li>Replace "filename.bz2" with the actual name of the compressed dataset file.</li> </ul> Once uncompressed, you will have access to the dataset in its original format for further exploration, analysis, and model training etc. The total storage required for extraction is approximately 800 GB in total, with the first batch requiring approximately 302 GB, the second batch requiring approximately 203 GB, and the third batch requiring approximately 297 GB of data storage.   The first batch contains 1,049,527,992 entries, where as the second batch contains 711,043,331 entries, and for the third and last batch we have 1,029,303,062 entries. The following table provides the feature names along with their explanation and example value once the dataset is extracted.   <table align="left"> <thead> <tr> <th scope="col">Feature</th> <th scope="col">Description</th> <th scope="col">Example Value</th> </tr> </thead> <tbody> <tr> <td>ip.src</td> <td>Source IP address in the packet</td> <td>a05d4ecc38da01406c9635ec694917e969622160e728495e3169f62822444e17</td> </tr> <tr> <td>ip.dst</td> <td>Destination IP address in the packet</td> <td>a52db0d87623d8a25d0db324d74f0900deb5ca4ec8ad9f346114db134e040ec5</td> </tr> <tr> <td>frame.time_epoch</td> <td>Epoch time of the frame</td> <td>1676165569.930869</td> </tr> <tr> <td>arp.hw.type</td> <td>Hardware type</td> <td>1</td> </tr> <tr> <td>arp.hw.size</td> <td>Hardware size</td> <td>6</td> </tr> <tr> <td>arp.proto.size</td> <td>Protocol size</td> <td>4</td> </tr> <tr> <td>arp.opcode</td> <td>Opcode</td> <td>2</td> </tr> <tr> <td>data.len</td> <td>Length</td> <td>2713</td> </tr> <tr> <td>eth.dst.lg</td> <td>Destination LG bit</td> <td>1</td> </tr> <tr> <td>eth.dst.ig</td> <td>Destination IG bit</td> <td>1</td> </tr> <tr> <td>eth.src.lg</td> <td>Source LG bit</td> <td>1</td> </tr> <tr> <td>eth.src.ig</td> <td>Source IG bit</td> <td>1</td> </tr> <tr> <td>frame.offset_shift</td> <td>Time shift for this packet</td> <td>0</td> </tr> <tr> <td>frame.len</td> <td>frame length on the wire</td> <td>1208</td> </tr> <tr> <td>frame.cap_len</td> <td>Frame length stored into the capture file</td> <td>215</td> </tr> <tr> <td>frame.marked</td> <td>Frame is marked</td> <td>0</td> </tr> <tr> <td>frame.ignored</td> <td>Frame is ignored</td> <td>0</td> </tr> <tr> <td>frame.encap_type</td> <td>Encapsulation type</td> <td>1</td> </tr> <tr> <td>gre</td> <td>Generic Routing Encapsulation</td> <td>'Generic Routing Encapsulation (IP)’</td> </tr> <tr> <td>ip.version</td> <td>Version</td> <td>6</td> </tr> <tr> <td>ip.hdr_len</td> <td>Header length</td> <td>24</td> </tr> <tr> <td>ip.dsfield.dscp</td> <td>Differentiated Services Codepoint</td> <td>56</td> </tr> <tr> <td>ip.dsfield.ecn</td> <td>Explicit Congestion Notification</td> <td>2</td> </tr> <tr> <td>ip.len</td> <td>Total length</td> <td>614</td> </tr> <tr> <td>ip.flags.rb</td> <td>Reserved bit</td> <td>0</td> </tr> <tr> <td>ip.flags.df</td> <td>Don't fragment</td> <td>1</td> </tr> <tr> <td>ip.flags.mf</td> <td>More fragments</td> <td>0</td> </tr> <tr> <td>ip.frag_offset</td> <td>Fragment offset</td> <td>0</td> </tr> <tr> <td>ip.ttl</td> <td>Time to live</td> <td>31</td> </tr> <tr> <td>ip.proto</td> <td>Protocol</td> <td>47</td> </tr> <tr> <td>ip.checksum.status</td> <td>Header checksum status</td> <td>2</td> </tr> <tr> <td>tcp.srcport</td> <td>TCP source port</td> <td>53425</td> </tr> <tr> <td>tcp.flags</td> <td>Flags</td> <td>0x00000098</td> </tr> <tr> <td>tcp.flags.ns</td> <td>Nonce</td> <td>0</td> </tr> <tr> <td>tcp.flags.cwr</td> <td>Congestion Window Reduced (CWR)</td> <td>1</td> </tr> <tr> <td>udp.srcport</td> <td>UDP source port</td> <td>64413</td> </tr> <tr> <td>udp.dstport</td> <td>UDP destination port</td> <td>54087</td> </tr> <tr> <td>udp.stream</td> <td>Stream index</td> <td>1345</td> </tr> <tr> <td>udp.length</td> <td>Length</td> <td>225</td> </tr> <tr> <td>udp.checksum.status</td> <td>Checksum status</td> <td>3</td> </tr> <tr> <td>packet_type</td> <td>Type of the packet which is either "benign" or "malicious"</td> <td>0</td> </tr> </tbody> </table> Furthermore, in compliance with the GDPR and to ensure the privacy of individuals, all IP addresses present in the dataset have been anonymized through hashing. This anonymization process helps protect the identity of individuals while preserving the integrity and utility of the dataset for research and model development purposes.   Please note that while the dataset provides valuable insights and a solid foundation for machine learning tasks, it is not a substitute for extensive real-world data collection. However, it serves as a valuable resource for researchers, practitioners, and enthusiasts in the machine learning community, offering a compliant and anonymized dataset for developing and validating custom models in a specific problem domain.   By leveraging the validation dataset for machine learning model evaluation and custom model training, users can accelerate their research and development efforts, building upon the knowledge gained from my thesis while contributing to the advancement of the field.

Data to support the publication "Unknown risk: assessing refugee camp flood risk in Ethiopia"

This dataset supports the publication "Unknown risk: assessing refugee camp flood risk in Ethiopia". This dataset contains the delineated boundaries for 24 refugee camps in Ethiopia. Also included are refugee camp building footprint data (where available). All datasets are in shapefile format.

Raw Data for Publication: Fungal colonisation on wood surfaces weathered at diverse climatic conditions

Colour_Changes_Izola.csv This file contains CIE Lab* color coordinates measured on the surface of Scots pine during the natural weathering test in Izola, Slovenia. Colour_Changes_Skelleftea.csv This file contains CIE Lab* color coordinates measured on the surface of Scots pine during the natural weathering test in Skelleftea, Sweden. Contact_Angles_Izola.csv This file contains dynamic contact angle with distilled water measured on the surface of Scots pine during the natural weathering test in Izola, Slovenia. Contact_Angles_Skelleftea.csv This file contains dynamic contact angle with distilled water measured on the surface of Scots pine during the natural weathering test in Skelleftea, Sweden. Gloss.csv This file contains the gloss value measured on the surface of Scots pine during the natural weathering test in Izola, Slovenia and Skelleftea, Sweden. Note: The sample IDs are structured as follows: The first letter represents the treatment condition, with "R" indicating untreated wood. The second letter (A, B, C) represents the board's ID. The third letter represents the location, with "S" indicating Skelleftea and "I" representing Izola, Slovenia. The number indicates the exposure time in weeks. FUNGAL STRAIS_DNA sequence analysis.xlsx This file contains the Genomic DNA of the fungal strains detected on the surface of Scots pine during the natural weathering test in Izola, Slovenia and Skelleftea, Sweden. Weather_Data_Izola.csv This file contains hourly local weather conditions in Izola, Slovenia Weather_Data_Skelleftea.csv This file contains hourly local weather conditions in Skelleftea, Sweden Note: The weather conditions including the following parameters:1. Air temperature (°C), 2. Dew point (°C), 3. Relative humidity (%), 4. One-hour precipitation total (mm), 5. Snow depth (mm), 6. Wind direction (°), 7. Average wind speed (km/h), 8.Sea-level air pressure (hPa)

Data of the publication Optimizing ion implantation to create shallow NV centre ensembles in high-quality CVD diamond

Data of the publication published by IOP under the reference: Midrel Wilfried Ngandeu Ngambou et al 2022 Mater. Quantum. Technol. 2 045001 .

UTHSC Publication Research Category (ANZSRC 2020) Co-Occurrence

This data visualization is a bibliometric analysis of University of Tennessee Health Science Center publications for the years 2018-2020. It was created for senior University leadership for the purposes of strategic planning and identifying research areas of strength. Bibliographic data was supplied by Dimensions by Digital Science. The chord graph was created in Tableau and demonstrates relationship pairs of Fields of Research (ANZSRC 2020) categories. Each publication record may be associated with 1+ categories. The graph highlights the frequency of category pairings within a single publication record. I.e. publications categorized as "Immunology" are most commonly also categorized with "Medical Microbiology," indicating overlap in this area of research. This graph was created using instructions from Marc Reid's datavis.blog entry "Creating a Chord Diagram with Tableau Prep and Desktop" (<a href="https://datavis.blog/2020/07/02/creating-chord-diagram-in-tableau/">https://datavis.blog/2020/07/02/creating-chord-diagram-in-tableau/</a>). The content is solely the responsibility of the authors and does not necessarily represent the official views of the National Institutes of Health.

Project "Public services management system to improve the quality and accessibility of services" (01.2.2-LMT-K-718-03-0019) literature review screening results

The results of the keyword query in Scopus search with the abstracts were screened using abstractr platform at <a href="http://abstrackr.cebm.brown.edu">http://abstrackr.cebm.brown.edu</a>. Four reviewers reviewed intersecting subsets of the overall list of publications in separate reviews, therefore duplicate records in the file are possible. The results from four reviews were combined into one file using functionality of abstractr platform. The reviews were finalized in February, 2022. Majority of the publications from the Scopus query results were automatically assigned low relevance scores thanks to the active learning algorithm used by abstractr and therefore were not reviewed manually.Notes on the columns of the dataset:<ul><li>(internal) id  - internal id added by abstractr.</li><li>(source) id  - Scopus document id followed by underscore and '1' (if publication has DOI)  or 'n' (if publication has no DOI).</li><li>keywords - authors' keywords and Scopus keywords concatenated from the Scopus query results.</li><li>abstract - an abstract of a publication from the Scopus query results.</li><li>title - title of a publication from the Scopus query results.</li><li>journal - journal of a publication from the Scopus query results.</li><li>authors - authors of a publlication from the Scopus query results.</li><li>consensus - for publications reviewed by multiple reviewers the consensus decision is signified by '1', no consensus - by 'x' and unable to asses consensus by 'o'. These codes are generated by abstrackr.</li><li>eg - the first reviewer id. Code '1' means the publication was selected based on title and abstract, '0' - unsure, '-1' rejected.</li><li>dj - the second reviewer id. Code '1' means the publication was selected based on title and abstract, '0' - unsure, '-1' rejected.</li><li>rp - the third reviewer id. Code '1' means the publication was selected based on title and abstract, '0' - unsure, '-1' rejected.</li><li>mp - the fourth reviewer id. Code '1' means the publication was selected based on title and abstract, '0' - unsure, '-1' rejected.</li><li>count (+1) - integer, the number of reviewers selecting the publication for fulltext reading. Calculated from 'eg ','dj ','rp' and 'mp' columns.</li><li>count (0) - integer, the number of reviewers not sure of selecting the publication for fulltext reading. Calculated from 'eg ','dj ','rp' and 'mp' columns.</li><li>count (-1)  - integer, the number of reviewers not selecting the publication for fulltext reading. Calculated from 'eg ','dj ','rp' and 'mp' columns.</li><li>at leat once selected - binary integer, representing the final decision rule to select publications for fulltext reading and further analysis.</li></ul>The data were collected as a part of the project "Public services management system to improve the quality and accessibility of services" ("Viešųjų paslaugų vadybos sistema paslaugų kokybei ir prieinamumui gerinti"), grant no. 01.2.2-LMT-K-718-03-0019, funded by the Lithuanian research council.

Dataset for the publication: Electrochemical transformation of D,L-glutamic acid into acrylonitrile

The dataset comprehends the experimental data used as basis of the contribution on the electrochemical transformation of D,L-glutamic acid into acrylonitrile. The electrochemical transformation of D,L‑glutamic acid as substrate proceeds in several steps via electro-oxidative decarboxylation and non-Kolbe electrolysis. The provided data comprehend yields and faradaic efficiencies of the transformations under different reaction conditions.

Dataset for the publication: Elucidating the influence of intercalated anions in NiFe LDH on the electrocatalytic behavior of OER: a kinetic study

This contribution comprehends the dataset derived as basis of the publication on alkaline electrochemical oxygen evolution reaction using nickel iron layered double hydroxides (NiFe LDH) with different intercalated anions. In this related study, the dataset was used to analyse the impact of different intercalated anions on the governing reaction mechanism and rate determining step in the electrocatalytic surface mechanism. The dataset comprehends analysis of the three materals: (1) charging current density versus scan rate, (2) X-ray diffraction patterns, (3) polarization curves, (4) steady-state derived Tafel plots, (5) reaction order analysis, (6) impedance spectroscopy, (7) influence of stirring on polarization curves, (8) not iR corrected values for the activity curves, (9) EIS data and (10) Tafel plots obtained through three different methods.

opencc-by-4.0Mar 2023View details →

Data supporting publication: Ultra-deep Sequencing of Hadza Hunter-Gatherers Recovers Vanishing Gut Microbes

Genomes, mapping databases, and data supporting the publication "Ultra-deep Sequencing of Hadza Hunter-Gatherers Recovers Vanishing Gut Microbes". Please see the README on GitHub for descriptions of files and tutorials on how to use them: <a href="https://github.com/MrOlm/ZenodoREADME/blob/main/README.md">https://github.com/MrOlm/ZenodoREADME/blob/main/README.md</a>

Ha-SingleMoleculeLab's data for publication: Linking folding dynamics and function of SAM/SAH riboswitches at the single molecule level

This upload is the raw data that support our findings sent to review on Nucleic Acids Research, corresponding to each individual figure. The paper title is " Linking folding dynamics and function of SAM/SAH riboswitches at the single molecule level".

opencc-by-4.0Jun 2020View details →

Data for the publication "Future warming exacerbated by aged soot effect on cloud formation"

This repository contains the data for the paper: "Ulrike Lohmann, Franz Friebel, Zamin A. Kanji, Fabian Mahrt, Amewu A. Mensah and David Neubauer: Future warming exacerbated by aged soot effect on cloud formation. Nat. Geosci. 13, 674–680 (2020). https://doi.org/10.1038/s41561-020-0631-0" Each tar-file contains the data (or instructions how to obtain the data) to reproduce a figure or table in our paper. Note that the scripts to plot this data are to be found in the accompanying package (http://dx.doi.org/10.5281/zenodo.3457878) Also note that Extended Data Fig. 1 is identical to Supplementary Fig. S4 as well as that Extended Data Table 1 is identical to Supplementary Table S2.

opencc-by-4.0Jul 2023View details →

Data of the publication "Absence of Localization in Two-Dimensional Clifford Circuits"

We analyze a Floquet circuit with random Clifford gates in one and two spatial dimensions. By using random graphs and methods from percolation theory, we prove in the two-dimensional (2D) setting that some local operators grow at a ballistic rate, which implies the absence of localization. In contrast, the one-dimensional model displays a strong form of localization, characterized by the emergence of left- and right-blocking walls in random locations. We provide additional insights by complementing our analytical results with numerical simulations of operator spreading and entanglement growth, which show the absence (presence) of localization in two dimensions (one dimension). Furthermore, we unveil how the spectral form factor of the Floquet unitary in 2D circuits behaves like that of quasifree fermions with chaotic single-particle dynamics, with an exponential ramp that persists up to times scaling linearly with the size of the system. Our work sheds light on the nature of disordered Floquet Clifford dynamics and their relationship to fully chaotic quantum dynamics.