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Pharmaceutical consumption in Spain
Data on dispensed consumption (DC) obtained from the concentration of pharmaceuticals found in influent sewage samples and measured consumption (MC) obtained from the prescribed pharmaceuticals in the collection area. This data has been obtained for four type of sewage treatment plants and the population emited to them (Madrid 1, Madrid 2, Tarragona and Reus). The file parameter calculation contains the parameters necessary to obtain the final data
Replication Data for "Stabilizing Perovskite Solar Cells at 85 °C via Additive Engineering and MXene Interlayers"
This dataset includes data from 2 extensive experiments; B&A characterization with harsh operational testing at 85 °C and 1 sun, and B&A characterization with in-situ XRD experiments at 85 °C and 1 sun
Videography of Testudo hermanni Experimental Butchery: Assessing Raw vs. Roasted Processing Techniques in Early Human Subsistence Strategies
This video dataset comprises footage of experimental Testudo hermanni processing
designed to replicate potential butchery practices by early humans. The recordings were
captured during our controlled experimental archaeology project aimed at understanding the
role of cooking and processing efficiency, and tool use during the exploitation of small prey.
The videos show four tortoise specimens being processed – two in their raw state
(Chelonids 5 and 6) and two following direct roasting on embers (Chelonids 3 and 4) – by
people with different levels of experience. The recordings document the full sequence of
butchery tasks, including carapace and plastron disarticulation, evisceration, limb and head
removal, and tool use involving quartzite hammerstones and flint flakes. These visual
materials serve as methodological support for the study "Raw vs. Roasted: Reconstructing
Early human Butchery Practices of Terrapins and Tortoises" by Nabais et al (2025), and are
archived to enhance transparency, reproducibility and pedagogical value in experimental
archaeology. The footage provides critical insights into the biomechanics of butchery,
taphonomic signatures and the cognitive implications of cooking and tool-assisted
processing in Middle Palaeolithic contexts
Replication Data for "Magnetic field-enhanced hydrogen electrocatalysis: Unveiling the role of electrolyte concentration"
This dataset contains the experimental raw data for all data published in Magnetic field-enhanced hydrogen electrocatalysis: Unveiling the role of electrolyte concentration. This includes electrochemical measurements of chronopotentiometry and linear sweep voltammetry during the actuation of magnetic fields, electrochemical impedance spectroscopy, electron microscopy, and chemical analysis
Replicate data for "High-resolution data assimilation for two maritime extreme weather events: a comparison between 3D-Var and EnKF"
This dataset provides the key configuration files and scripts required to reproduce the numerical weather simulations presented in our study “High-resolution data assimilation for two maritime extreme weather events: a comparison between 3D-Var and EnKF” (https://doi.org/10.5194/nhess-2024-177
). The experiments were conducted using the Weather Research and Forecasting (WRF) model v4.0.
Included in this dataset are:
Namelist files (namelist.wps, namelist.input) that define the model setup and allow replication of the simulation environment used in the paper.
Python scripts used to generate the figures presented in the publication, enabling users to reproduce the main visual results directly.
Due to storage limitations, the full model outputs from the numerical simulations (several terabytes in size) cannot be hosted in this repository. Instead, we provide the essential configuration files and analysis scripts so that researchers can rerun the simulations on their own computational resources and replicate both the workflow and figures described in the paper
Replication Data for: The Impact of Holocaust Survivors' Testimonies and Politicians' Framings on Political Attitudes in Germany
Replication Data for the article "The Impact of Holocaust Survivors' Testimonies and Politicians' Framings on Political Attitudes in Germany", published at the journal Nations and Nationalism. The repository contains the original dataset (the survey) and the scripts to reproduce the results reported in the article
Corpus de sermones del proyecto «Novatores en el púlpito: la oratoria sagrada castellana ante la crisis dinástica y el cambio de paradigma cultural (1665-1733)» (PID2020-117974GB-I00).
Datos pertenecientes al proyecto de investigación “Novatores en el púlpito. La oratoria sagrada castellana ante la crisis dinástica y el cambio de paradigma cultural (1665-1733) (NOVATOPULP)” financiado por el Programa estatal de generación de conocimiento y fortalecimiento científico y tecnológico del sistema del MICIU/ AEI /10.13039/501100011033 (PID2020-117974GB-I00).
Este dataset consta de una base de datos constituida por un corpus documental compuesto por sermones impresos y publicados entre los años 1665 y 1733 con el fin de servir como base empírica para el estudio de la oratoria sagrada en el periodo moderno. Se trata de una recopilación y sistematización de datos bibliográficos en formato digital organizados alfabéticamente por el apellido del autor para facilitar su consulta. La base de datos recoge la siguiente información: autor, título del sermón, ciudad de publicación, nombre de la imprenta o impresor, fecha de publicación y enlace al texto digitalizado
LAIA: Labelled Attention for Intelligent Automobiles
LAIA is a dataset of synthetic driving sequences generated using the CARLA simulator. It features more than 15 hours of free driving performed by human drivers on a realistic, dynamic, or static driving platform. The driving tasks of 40 people have been collected, and the driving is not random, but is based on specifically designed scenarios.
Each sequence includes RGB images accompanied by standard data (depth, optical flow, semantic and instance segmentation), ego vehicle information and, above all, eye-tracking recordings. 5 weather variations are also provided for each driving scenario. If you have any problem downloading the files, you can also download from: https://cloningdcb.org/#loade
OVERPROET - CIEM
The dataset originates from an experimental campaign conducted in the large-scale wave flume (CIEM), aimed at improving the prediction of wave overtopping at urban coastal structures under extreme wave conditions. The study focuses particularly on seawalls located on sandy beaches, which are often situated in areas highly vulnerable to sea level rise under future RCP climate scenarios. These structures require updated assessment methodologies that account for both the structural characteristics of the defences and the morphodynamic behaviour of the surrounding beach
MuChoMusic dataset
MuChoMusic: Evaluating Music Understanding in Multimodal Audio-Language Models
MuChoMusic is a benchmark designed to evaluate music understanding in multimodal language models focused on audio. It includes 1,187 multiple-choice questions validated by human annotators, based on 644 music tracks from two publicly available music datasets. These questions cover a wide variety of genres and assess knowledge and reasoning across several musical concepts and their cultural and functional contexts. The benchmark provides a holistic evaluation of five open-source models, revealing challenges such as over-reliance on the language modality and highlighting the need for better multimodal integration.
Note on Audio Files
This dataset comes without audio files. The audio files can be downloaded from two datasets: SongDescriberDataset (SDD) and MusicCaps. Please see the code repository for more information on how to download the audio.
Citation
If you use this dataset, please cite our paper:
@inproceedings{weck2024muchomusic,
title={MuChoMusic: Evaluating Music Understanding in Multimodal Audio-Language Models},
author={Weck, Benno and Manco, Ilaria and Benetos, Emmanouil and Quinton, Elio and Fazekas, György and Bogdanov, Dmitry},
booktitle = {Proceedings of the 25th International Society for Music Information Retrieval Conference (ISMIR)},
year={2024}
}
Weck B, Manco I, Benetos E, Quinton E, Fazekas G, Bogdanov D. MuChoMusic: Evaluating Music Understanding in Multimodal Audio-Language Models. In: Kaneshiro B, Mysore G, Nieto O, Donahue C, Huang CZA, Lee JH, McFee B, McCallum M, editors. Proceedings of the 25th International Society for Music Information Retrieval Conference (ISMIR2024); 2024 November 10-14; San Francisco, USA