Find research datasets worth reusing

opencc-by-4.0Dec 2014View details →

Figure 5 in First information on biology of the needlefish Tylosurus acus imperialis (Belonidae) off the Tunisian coast (Central Mediterranean)

Figure 5. - Length at first maturity of males of T. a. imperialis.

WBES2023 data for paper entitled "The effect of informal competition on family firms' performance: The case of three Western Balkans candidates for EU membership"

WBES2023 data for paper entitled "The effect of informal competition on family firms’ performance: The case of three Western Balkans candidates for EU membership"

Data associated with the study: Unlocking DAS amplitude information through coherency coupling quantification

Data associated with the study: Unlocking DAS amplitude information through coherency coupling quantification Here we include all DAS data used in the study that is not included in an open access repository elsewhere. Contents of this repository are: Rutford icestream data: 1. Rutford_ice_stream_das_data/icequakes_information.csv - A csv file containing icequake information, including origin times and seismic moment. 2. Rutford_ice_stream_das_data/tdms/*.tdms - Raw DAS data recordings over the time periods when the icequakes occured. Data is recorded by a Silixa iDas. (All other information on the deployment can be found in Hudson et al. (2021), JGR). Gornergletscher data: 3. Gornergletscher_das_data/gornerglethscer_das_qm_stations.csv - A file containing coordinates of all the fibre channels. 4. Gornergletscher_das_data/segy/*.sgy - Raw data files for the time periods used in this study.

opencc-by-4.0Nov 2011View details →

Figure 3 in Additional information on Misonne's swollen-nose gecko, Rhinogecko misonnei de Witte, 1973 (Squamata, Geckonidae) in Iran

Figure 3. Rhinogecko misonnei. (A) ZMSBUK 700; (B) ZMSBUK 701; (C) ZMSBUK 702.

opencc-by-4.0Nov 2011View details →

Figure 2 in Additional information on Misonne's swollen-nose gecko, Rhinogecko misonnei de Witte, 1973 (Squamata, Geckonidae) in Iran

Figure 2. The habitat of Rhinogecko misonnei: (A) ZMSBUK 700 and 701; (B) ZMSBUK 702.

restrictedcc-by-4.0Jun 2024View details →

Information associated with GENEActiv accelerometer files collected during the project entitled "Cultures et comportements alimentaires de la jeunesse dans les pays francophones du Pacifique au XXIème siècle: exemple de la Nouvelle-Calédonie" [Eng: "Eating cultures and behaviors of young people in French-speaking Pacific countries in the 21st century: the example of New Caledonia"] (non-anonymized information)

Additional restricted participant characteristics of the following datasets: <ul> <li><a title="GENEActiv accelerometer files collected during the project entitled "Cultures et comportements alimentaires de la jeunesse dans les pays francophones du Pacifique au XXIème siècle: exemple de la Nouvelle-Calédonie" (non-anonymized version - first part)" href="https://doi.org/10.5281/zenodo.11594645" target="_blank" rel="noopener">GENEActiv accelerometer files collected during the project entitled "Cultures et comportements alimentaires de la jeunesse dans les pays francophones du Pacifique au XXIème siècle: exemple de la Nouvelle-Calédonie" [en: "Eating cultures and behaviors of young people in French-speaking Pacific countries in the 21st century: the example of New Caledonia"] (non-anonymized version - first part)</a></li> <li><a title="GENEActiv accelerometer files collected during the project entitled "Cultures et comportements alimentaires de la jeunesse dans les pays francophones du Pacifique au XXIème siècle: exemple de la Nouvelle-Calédonie" (non-anonymized version - second part)" href="https://doi.org/10.5281/zenodo.12638965" target="_blank" rel="noopener">GENEActiv accelerometer files collected during the project entitled "Cultures et comportements alimentaires de la jeunesse dans les pays francophones du Pacifique au XXIème siècle: exemple de la Nouvelle-Calédonie" [en: "Eating cultures and behaviors of young people in French-speaking Pacific countries in the 21st century: the example of New Caledonia"] (non-anonymized version - second part)</a></li> <li><a title="GENEActiv accelerometer files collected during the project entitled "Cultures et comportements alimentaires de la jeunesse dans les pays francophones du Pacifique au XXIème siècle: exemple de la Nouvelle-Calédonie" (non-anonymized version - third part)" href="https://doi.org/10.5281/zenodo.12661429" target="_blank" rel="noopener">GENEActiv accelerometer files collected during the project entitled "Cultures et comportements alimentaires de la jeunesse dans les pays francophones du Pacifique au XXIème siècle: exemple de la Nouvelle-Calédonie" [en: "Eating cultures and behaviors of young people in French-speaking Pacific countries in the 21st century: the example of New Caledonia"] (non-anonymized version - third part)</a></li> <li><a title="GENEActiv accelerometer files collected during the project entitled "Cultures et comportements alimentaires de la jeunesse dans les pays francophones du Pacifique au XXIème siècle: exemple de la Nouvelle-Calédonie" (anonymized version - first part)" href="https://doi.org/10.5281/zenodo.12615468" target="_blank" rel="noopener">GENEActiv accelerometer files collected during the project entitled "Cultures et comportements alimentaires de la jeunesse dans les pays francophones du Pacifique au XXIème siècle: exemple de la Nouvelle-Calédonie" [en: "Eating cultures and behaviors of young people in French-speaking Pacific countries in the 21st century: the example of New Caledonia"] (anonymized version - first part)</a></li> <li><a title="GENEActiv accelerometer files collected during the project entitled "Cultures et comportements alimentaires de la jeunesse dans les pays francophones du Pacifique au XXIème siècle: exemple de la Nouvelle-Calédonie" (anonymized version - second part)" href="https://doi.org/10.5281/zenodo.12638746" target="_blank" rel="noopener">GENEActiv accelerometer files collected during the project entitled "Cultures et comportements alimentaires de la jeunesse dans les pays francophones du Pacifique au XXIème siècle: exemple de la Nouvelle-Calédonie" [en: "Eating cultures and behaviors of young people in French-speaking Pacific countries in the 21st century: the example of New Caledonia"] (anonymized version - second part)</a></li> <li><a title="GENEActiv accelerometer files collected during the project entitled "Cultures et comportements alimentaires de la jeunesse dans les pays francophones du Pacifique au XXIème siècle: exemple de la Nouvelle-Calédonie" (anonymized version - third part)" href="https://doi.org/10.5281/zenodo.12682660" target="_blank" rel="noopener">GENEActiv accelerometer files collected during the project entitled "Cultures et comportements alimentaires de la jeunesse dans les pays francophones du Pacifique au XXIème siècle: exemple de la Nouvelle-Calédonie" [en: "Eating cultures and behaviors of young people in French-speaking Pacific countries in the 21st century: the example of New Caledonia"] (anonymized version - third part)</a></li> </ul> Participant characteristics: 10 to 16 years old students (n = 206) and parents (n = 25). Number of participants: 231. Year of the study: 2018 - 2019. Place of the study: New Caledonia. When using this dataset, please cite the following reference: <a title="Wattelez et al. 2025" href="https://doi.org/10.1016/j.dib.2024.111228" target="_blank" rel="noopener">G. Wattelez, S. Frayon, O. Galy, Assessing physical activity/behavior of adolescents living in the Pacific with accelerometer data: 231 GENEActiv records in New Caledonia, Data in Brief 58 (2025) 111228, doi: 10.1016/j.dib.2024.111228</a>

Supporting Information and Data from: A new dentition-based phylogeny of Litopterna (Mammalia: Placentalia) and 'archaic' South American ungulates

This is the Supporting Information and Data from: H. P. Püschel, S. L. Shelley, T. E. Williamson, F. A. Perini, J. R. Wible, S. L. Brusatte. 2024. A new dentition-based phylogeny of Litopterna (Mammalia: Placentalia) and ‘archaic’ South American ungulates. It contains the following files: Table S1: OCCURENCES OF LITOPTERNS BY SALMAS Supplementary Information File S1: OTHER EARLY UNGULATES OF INTEREST Supplementary Information File S2: TAXON SAMPLING AND TAXONOMIC COMMENTS Supplementary Information File S3: CHARACTER LIST Supplementary Information File S4: NEXUS FILE WITH H1 MATRIX AND SCRIPTS FOR REPLICATING THE ANALYSES IN MRBAYES Supplementary Information File S5: NEXUS FILE WITH H2 MATRIX AND SCRIPTS FOR REPLICATING THE ANALYSES IN MRBAYES Supplementary Information File S6: SALMAS’/STAGES’ LOWER AND UPPER LIMITS IN MA  Supplementary Information File S7: LIST OF SYNAPOMORPHIES AND AUTAPOMORPHIES Supplementary Information File S8: ADDITIONAL TIP-DATED BAYESIAN PHYLOGENETIC ANALYSES RESULTS

Supporting information and Figures of the article "Harnessing the Biomimetic Effect of Macromolecular Crowding in the Cell-Derived Model of Clubfoot Fibrosis"

Open the record for dataset details and reuse information.

Supporting information file PONE-D-24-300053

Open the record for dataset details and reuse information.

Resources for BMF CP 83: Information seeking, recommendation mechanism, and space tourism intention

The current study is conducted to examine the following research questions: <ul> <li>What information sources on social media are associated with the general intention to try space tourism?</li> <li>Does the automatically recommended information moderate the associations between multiple sources of information and the intention to try space tourism?</li> </ul>

Resources for BMF CP 82: Space tourism, information trustworthiness, usefulness, and immersiveness

The current study is conducted to examine the following research questions: <ul> <li>How are information trustworthiness, usefulness, and immersiveness associated with the general intention to try space tourism?</li> <li>Does the uncertainty of information (proxied by information trustworthiness) moderate the associations between information usefulness, immersiveness, and the general intention to try space tourism?</li> </ul>

Complexity or complexities? A simulation study on lexical complexity in expert and learner texts through the lens of information theory

Measures dataset for the work presented at LCR 2024 (the Learner Corpus Research Conference), held in Tartu on 26th-28th September 2024.

Growing Malaria Parasites at a Critical Shaking Speed Mimicking Physiological Flow Reveals New Phenotypes for Invasion Ligands, Supporting Information

This repository contains the dataset and analysis scripts associated with the upcoming publication titled Growing malaria parasites at a critical shaking speed that mimics physiological flow conditions reveals new phenotypes for EBA and RH invasion ligands. The repository includes a comprehensive collection of data and scripts used to generate all the plots, along with videos showing how the red blood cells behave in culture media for different shaking speeds in the different shaking vessels. The growth assay data used for this experiment was collected in four batches, labelled GA1 to 4: <ul> <li>GA1: compares the different knockout lines. </li> <li>GA2: compares different hematocrits. </li> <li>GA3: compares different growth vessels.</li> <li>GA4: contains more repeats of lines from GA1.</li> </ul> This repository offers all necessary resources to replicate the findings, including the complete codebase, raw data, and graphical representations of results. Researchers are encouraged to explore the included notebooks and datasets for detailed insights. Movies S1 to S4 show a top and side view of each type of plate/plask used on an orbital shaker as the shaking speed is increased.

Geoparsing with Large Language Models: Leveraging the linguistic capabilities of generative AI to improve geographic information extraction

<h2>Geoparsing with Large Language Models</h2> The .zip file included in this repository contains all the code and data required to reproduce the results from our paper. Note, however, that in order to run the OpenAI models, users will required an OpenAI API key and sufficient API credits. <div> <h3>Data</h3> The data used for the paper are in the <code>datasetst</code> and <code>results</code> folders. <ul> <li> **Datasets: **This contains the XML files (LGL and Geovirus) and Json files (News2024) used to benchmark the models. It also contains all the data used to fine-tune the gpt-3.5 model, the prompt templates sent to the LLMs, and other data used for mapping and data creation. </li> <li> **Results: **This contains the results for the models on the three datastes. The folder is separated by dataset, with a single <code>.csv</code> file giving the results for each model on each dataset separately. The <code>.csv</code> file is structured so that each row contains either a predicted toponym and an associated true toponym (along with assigned spatial coordinates), if the model correctly identified a toponym; otherwise the true toponym columns are empty for false positives and the predicted columns are empty for false negatives. </li> </ul> <h3>Code</h3> The code is split into two seperate folders <code>gpt_geoparser</code> and <code>notebooks</code>. <ul> <li>**GPT_Geoparser: **this contains the classes and methods used process the XML and JSON articles (<code>data.py</code>), interact with the Nominatim API for geocoding (<code>gazetteer.py</code>), interact with the OpenAI API (<code>gpt_handler.py</code>), process the outputs from the GPT models (<code>geoparser.py</code>) and analyse the results (<code>analysis.py</code>).</li> <li>Notebooks: This series of notebooks can be used to reproduce the results given in the paper. The file names a reasonably descriptive of what they do within the context of the paper.</li> </ul> <h3>Code/software</h3> <h3>Requirements</h3> <ul> <li>Numpy</li> <li>Pandas</li> <li>Geopy</li> <li>Scitkit-learn</li> <li>lxml</li> <li>openai</li> <li>matplotlib</li> <li>Contextily</li> <li>Shapely</li> <li>Geopandas</li> <li>tqdm</li> <li>huggingface_hub</li> <li>Gnews</li> </ul> <h3>Access information</h3> Other publicly accessible locations of the data: <ul> <li>The LGL and GeoVirus datasets can also be obtained <a href="https://github.com/milangritta/Pragmatic-Guide-to-Geoparsing-Evaluation" target="_blank" rel="noopener">here (opens in new window)</a>.</li> </ul> <h3>Abstract</h3> <div> Geoparsing- the process of associating textual data with geographic locations - is a key challenge in natural language processing. The often ambiguous and complex nature of geospatial language make geoparsing a difficult task, requiring sophisticated language modelling techniques. Recent developments in Large Language Models (LLMs) have demonstrated their impressive capability in natural language modelling, suggesting suitability to a wide range of complex linguistic tasks. In this paper, we evaluate the performance of four LLMs - GPT-3.5, GPT-4o, Llama-3.1-8b and Gemma-2-9b - in geographic information extraction by testing them on three geoparsing benchmark datasets: GeoVirus, LGL, and a novel dataset, News2024, composed of geotagged news articles published outside the models' training window. We demonstrate that, through techniques such as fine-tuning and retrieval-augmented generation, LLMs significantly outperform existing geoparsing models. The best performing models achieve a toponym extraction F1 score of 0.985 and toponym resolution accuracy within 161 km of 0.921. Additionally, we show that the spatial information encoded within the embedding space of these models may explain their strong performance in geographic information extraction. Finally, we discuss the spatial biases inherent in the models' predictions and emphasize the need for caution when applying these techniques in certain contexts. </div> <h3>Methods</h3> <div> This contains the data and codes required to reproduce the results from our paper. The LGL and GeoVirus datasets are pre-existing datasets, with references given in the manuscript. The News2024 dataset was constructed specifically for the paper.  To construct the News2024 dataset, we first created a list of 50 cities from around the world which have population greater than 1000000. We then used the GNews python package <a href="https://pypi.org/project/gnews/" target="_blank" rel="noopener">https://pypi.org/project/gnews/ (opens in new window)</a> to find a news article for each location, published between 2024-05-01 and 2024-06-30 (inclusive). Of these articles, 47 were found to contain toponyms, with the three rejected articles referring to businesses which share a name with a city, and which did not otherwise mention any place names. We used a semi autonmous approach to geotagging the articles. The articles were first processed using a Distil-BERT model, fine tuned for named entity recognicion. This provided a first estimate of the toponyms within the text. A human reviewer then read the articles, and accepted or rejected the machine tags, and added any tags missing from the machine tagging process. We then used OpenStreetMap to obtain geographic coordinates for the location, and to identify the toponym type (e.g. city, town, village, river etc). We also flagged if the toponym was acting as a geo-political entity, as these were reomved from the analysis process. In total, 534 toponyms were identified in the 47 news articles.  </div> </div>

opencc-by-4.0Jun 2024View details →

Towards Musically Informed Evaluation of Piano Transcription Models

We provide here the evaluation set employed in our experiments described in "Towards Musically Informed Evaluation of Piano Transcription Models", published in the Proceedings of the 25th International Society for Music Information Retrieval Conference (ISMIR), San Francisco, United States, 2024. In this work, we demonstrate musically informed piano transcription metrics using transcriptions derived from three state-of-the-art transcriptions ([1], [2], [3]). To this end, we create an evaluation set that includes (1) a subset of the original audio recordings from the MAESTRO dataset [1], (2) a re-recorded version that subset, and (3) a perturbed version of recordings from both (1) and (2). In this data repository, we provide components (2) and (3). [1] Curtis Hawthorne, Andriy Stasyuk, Adam Roberts, Ian Simon, Cheng-Zhi Anna Huang, Sander Dieleman, Erich Elsen, Jesse Engel, and Douglas Eck, “Enabling factorized piano music modeling and generation with the MAESTRO dataset,” in International Conference on Learning Representations, 2019.   [2] Qiuqiang Kong, Bochen Li, Xuchen Song, Yuan Wan, and Yuxan Wang, “High-resolution piano transcription with pedals by regressing onset and offset times,” IEEE/ACM Transactions on Audio, Speech and Language Processing, vol. 29, pp. 3707–3717, 2021.   [3] Curtis Hawthorne, Ian Simon, Rigel Swavely, Ethan Manilow, and Jesse Engel. “Sequence-to-sequence piano transcription with transformers,” in Proceedings of the 22nd International Society for Music Information Retrieval Conference, ISMIR 2021.

opencc-by-4.0Oct 2024View details →

Data and Code for "Informative risk analyses of radiative forcing geoengineering require proper counterfactuals"

This repository contains data and code necessary to generate the figures presented in the maunscript "Data and Code for “Informative risk analyses of radiative forcing geoengineering require proper counterfactuals”, submitted for publication to the Nature journal Communications Earth & Environment.

opencc-by-4.0Feb 2024View details →

Twitter dataset about Information Operations in Honduras and UAE

Dataset concerning coordinated behaviour in Information Operations in Honduras and United Arab Emirates, consisting of two parts: <ul> <li>malicious tweets, provided by Twitter/X Moderation Research Consortium (TMRC), concerning well-known Information Operations (IOs).</li> <li>genuine enriching tweets, recovered using Twitter/X search APIs with Academic Elevated Access. Those tweets were published by "genuine" users (i.e. users not into the malicious dataset) and concerned the main topics of the IOs</li> </ul> This dataset allows to explore meaningful patterns of coordination which could distinguish conversations with malicious intent from genuine conversations. <ul> <li>1,2M malicious or genuine tweets about the Honduras IO, shared between 11 September 2019 and 8 January 2020</li> <li>2,8M malicious or genuine tweets about the UAE IO, shared between 27 January 2019 and 26 May 2019</li> </ul>

opencc-by-4.0Oct 2024View details →

Supporting information for: The Time Requirements for Primary Care Consultations: Initial Sick Child Visits in Low- and Middle-income Countries Using the Integrated Management of Childhood Illness (IMCI) Clinical Algorithm

Few studies have examined the time required for primary care consultations; none have focused on sick child visits in low- and middle-income countries (LMICs). This project begins to fill that gap by providing evidence-based estimates of the time needed for initial visits with under-five infants and children at public or not-for-profit facilities in countries using the Integrated Management of Childhood Illness (IMCI) clinical algorithm. Estimates of the mean expected duration of IMCI consultations require (a) classification profiles, i.e., tabulations of the gold standard health issues presented by patients less than 5 years old; (b) lists of the tasks included in applicable versions of the IMCI algorithm and the conditions that elicit them, and (c) an estimate of the time needed to perform tasks with no pre-defined minimum duration. The latter requires, in addition to classification profiles, information on rates of task performance and the mean observed duration of consultations. The IMCI clinical algorithm and the research surrounding it provide unusually rich sources of such information. Developed in the mid 1990s by the World Health Organization and the United Nations Children’s Fund, the IMCI algorithm seeks to reduce child mortality in LMICs by improving the technical quality of primary care services. For infants less than 2 months old, the algorithm focuses on bacterial infections, feeding problems, low weight, and, in some versions, jaundice. For children 2-59 months old, the foci include acute respiratory infections, especially pneumonia; diarrhea; fevers, especially malaria and measles; malnutrition, and anemia. Immunization status is a concern for both age groups. The algorithm provides a scheme to classify the health issues with which infants and children present, an array of tasks providers may be expected perform, and criteria by which tasks are elicited. Research on the design and utility of the algorithm, its effects on provider performance, and related topics furnishes data on the prevalence of gold standard IMCI classifications in a variety of patient populations. In some cases, it also enables one to calculate the time required to perform tasks. I found such information by searching MEDLINE, the database of the International Network for Rational Use of Medicines, the websites of the WHO and its regional offices, GOOGLE, and GOOGLE SCHOLAR using search terms such as ‘Integrated Management of Childhood Illness’, ‘observational’, ‘prospective’, ‘classification’, ‘clinical signs’, ‘health facility survey’, and ‘validity’. I also reviewed studies that cited a qualified study and, conversely, material included in the bibliographies of qualified studies. The supplemental information files contain the following: WORKBOOK S1_STUDIES USED Lists features of, and sources for, the studies used to construct classification profiles and to estimate the time required to perform the average task with no predefined minimum duration. With 2 exceptions (see below, DATA S1 and DATA S2), all the studies have been published or are readily available on the internet. None of the data can be used to identify individuals. DATA S1_REPORT OF THE HEALTH FACILITY SURVEY IN BOTSWANA, 2007-08 and DATA S2_REPORT OF THE HEALTH FACILITY SURVEY IN TANZANIA, 2003 PDF files of Health Facility Survey reports that were found on the internet but have since been taken down. DATA S3_BURKINA FASO CHART BOOKLET, 2015 PDF provided Drs. Sophie Sarrassat (London School of Hygiene and Tropical Medicine) and Serge M. A. Somda (Université Nazi BONI). WORKBOOK S2_CLASSIFICATION PROFILES: INFANTS; WORKBOOK S3_CLASSIFICATION PROFILES: CHILDREN IN UPPER MIDDLE-INCOME COUNTRIES; WORKBOOK S4_CLASSIFICATION PROFILES: CHILDREN IN LOWER MIDDLE-INCOME COUNTRIES (I); WORKBOOK S5_CLASSIFICATION PROFILES: CHILDREN IN LOWER MIDDLE-INCOME COUNTRIES (II), and WORKBOOK S6_CLASSIFICATION PROFILES: CHILDREN IN LOW INCOME COUNTRIES                                                                                                           The design of the worksheets in these workbooks is described in TEXT S1_NOTES OF THE CONSTRUCTION OF CLASSIFICATION PROFILES (see below). WORKBOOK S7_IMCI CLINICAL TASKS Lists the clinical tasks provided by relevant IMCI algorithms for the care of infants and children. Consists of 6 worksheets covering mandatory tasks, conditional assessments, and treatment and counseling tasks for infants and children. WORKBOOK S8_MINUTES PER TASK WITH NO MINIMUM DURATION Provides estimate of the mean time required to perform a task with no minimum duration for each of 7 populations for which the required data are available, corrected, where necessary, for the effect of an observer on the rate and pace of task performance. Also provides a geometric mean for all 7 populations. TEXT S1_NOTES ON METHODOLOGY WORD document describing the steps involved in estimating the expected durations of consultations. TEXT S2_NOTES OF THE CONSTRUCTION OF CLASSIFICATION PROFILES WORD document describing the steps involved in constructing each profile, problems encountered, and how they were solved. TEXT S3_NOTES ON THE IDENTIFICATION OF IMCI CLINICAL TASKS WORD document describing the standards used in identifying clinical tasks in IMCI algorithms. TEXT S4_NOTES ON THE ESTIMATION OF MINUTES PER TASK WITH NO MINIMUM DURATION WORD document describing the steps involved in estimating the mean time required to perform a task with no predefined minimum duration, problems encountered, and how they were solved.

opencc-by-4.0Nov 2024View details →

Analysis of Determining the Location of Public Electric Battery Exchange Stations (SPBKLU) using The Buffer Method in The Geographical Information System (GIS) in The Central Jakarta Region (Case Study of PT. XYZ)

Figure 1. The Existing Station Map in the Central Jakarta Area Figure 2. The Suitability of Battery Replacement Station Location and Closeness to Alfamart Supermarket  Figure 3. The Suitability of Battery Replacement Station Location and Closeness to District Office Figure 4. The Suitability of Battery Replacement Station Location in the Central Jakarta Area Data (The Variable Weight & The Variable Criteria)