cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.24542695.v1
title: Material Suplementario

description: Documentary analysis of 37 instruments published up to the year 2021, on health actions aimed at the migrant population in Chile. Through content analysis, specific elements of the rights-based approach were identified.
DOI: 10.5281/zenodo.10114912
title: pseudotriton_montanus_zanfona_02.fasta.gz

description: pseudotriton_montanus_zanfona_02.fasta.gz
DOI: 10.5281/zenodo.10114913
title: pseudotriton_montanus_zanfona_02.fasta.gz

description: pseudotriton_montanus_zanfona_02.fasta.gz
DOI: 10.5281/zenodo.10114914
title: ormyrus_rosae_zanfona_1.fasta.gz

description: ormyrus_rosae_zanfona_1.fasta.gz
DOI: 10.5281/zenodo.10114915
title: ormyrus_rosae_zanfona_1.fasta.gz

description: ormyrus_rosae_zanfona_1.fasta.gz
DOI: 10.5281/zenodo.10114920
title: ormyrus_thymus_zanfona_1.fasta.gz

description: ormyrus_thymus_zanfona_1.fasta.gz
DOI: 10.5281/zenodo.10114921
title: ormyrus_thymus_zanfona_1.fasta.gz

description: ormyrus_thymus_zanfona_1.fasta.gz
DOI: 10.5281/zenodo.10114922
title: sycophila_quercilanae_zanfona_1.fasta.gz

description: sycophila_quercilanae_zanfona_1.fasta.gz
DOI: 10.5281/zenodo.10114923
title: sycophila_quercilanae_zanfona_1.fasta.gz

description: sycophila_quercilanae_zanfona_1.fasta.gz
DOI: 10.5281/zenodo.10114924
title: sycophila_texana_zanfona_1.fasta.gz

description: sycophila_texana_zanfona_1.fasta.gz
DOI: 10.5281/zenodo.10114925
title: sycophila_texana_zanfona_1.fasta.gz

description: sycophila_texana_zanfona_1.fasta.gz
DOI: 10.6084/m9.figshare.24547936
title: Files of paper "Putative mechanism of a multivitamin treatment against insulin resistance"

description: The present files are part of the work that aims to describe the putative mechanisms of vitamins involved in the inflammatory pathway of insulin resistance. The strategy to achieve this goal was integrating data mining and analysis, target predictions, and molecular docking simulations calculations to support our hypotheses.
DOI: 10.5281/zenodo.10114935
title: Natural history specimens collected and/or identified and deposited.

description: Natural history specimen data collected and/or identified by Asmund Larsen Aasen, http://www.wikidata.org/entity/Q106521046. Claims or attributions were made on Bionomia, https://bionomia.net using specimen data from the Global Biodiversity Information Facility, https://gbif.org.
description: http://www.wikidata.org/entity/Q106521046
DOI: 10.5281/zenodo.10114934
title: Natural history specimens collected and/or identified and deposited.

description: Natural history specimen data collected and/or identified by Asmund Larsen Aasen, http://www.wikidata.org/entity/Q106521046. Claims or attributions were made on Bionomia, https://bionomia.net using specimen data from the Global Biodiversity Information Facility, https://gbif.org.
description: http://www.wikidata.org/entity/Q106521046
DOI: 10.34740/kaggle/dsv/6947387
title: Forex Exchange Rates Since 2004 (Updated Daily)
DOI: 10.34740/kaggle/dsv/6947399
title: Daily Trending Youtube Videos (113 Countries)
DOI: 10.34740/kaggle/dsv/6947403
title: Top Spotify Songs in 73 Countries (Daily Updated)
DOI: 10.5281/zenodo.10114933
title: Large graphs for Gallatin benchmarks

description: These are the Orkut and cit-Patents graphs taken from the Stanford graph repository. The graphs have been symmetrized and converted into matrix market format for use in the Winter et al. GPU allocator benchmarking survey.
DOI: 10.5281/zenodo.10114932
title: Large graphs for Gallatin benchmarks

description: These are the Orkut and cit-Patents graphs taken from the Stanford graph repository. The graphs have been symmetrized and converted into matrix market format for use in the Winter et al. GPU allocator benchmarking survey.
DOI: 10.34740/kaggle/dsv/6947411
title: Youtube Trending Video - Taiwan & Hong Kong
DOI: 10.34740/kaggle/dsv/6947418
title: BBC News
DOI: 10.34740/kaggle/dsv/6947474
title: arXiv Dataset
DOI: 10.5281/zenodo.10108747
title: Beam properties within the momentum acceptance of a clinical gantry beamline for proton therapy

description: Publicly accessible data associated with the publication: 
Beam properties within the momentum acceptance of aclinical gantry beamline for proton therapy. 
AC Giovannelli, V Maradia, D Meer, S Safai, S Psoroulas, M Togno, C Bula, DC Weber, AJ Lomax, G Fattori. Med Phys 2022;49(3):1417-1431. https://doi.org/10.1002/mp.15449
Data generated within the project "New concept for adaptive real time tumour tracking" funded by the Swiss National Science Foundation (SNSF) under grant agreement 200021_185082: https://data.snf.ch/grants/grant/185082
DOI: 10.5281/zenodo.10108748
title: Beam properties within the momentum acceptance of a clinical gantry beamline for proton therapy

description: Publicly accessible data associated with the publication: 
Beam properties within the momentum acceptance of aclinical gantry beamline for proton therapy. 
AC Giovannelli, V Maradia, D Meer, S Safai, S Psoroulas, M Togno, C Bula, DC Weber, AJ Lomax, G Fattori. Med Phys 2022;49(3):1417-1431. https://doi.org/10.1002/mp.15449
Data generated within the project "New concept for adaptive real time tumour tracking" funded by the Swiss National Science Foundation (SNSF) under grant agreement 200021_185082: https://data.snf.ch/grants/grant/185082
DOI: 10.5281/zenodo.10040085
title: EvalQuiz - LLM-based Automated Generation of Self-Assessment Quizzes in Software Engineering Education

description: Self-assessment quizzes after lectures, educational videos, or chapters are a commonly used method in software engineering (SE) education to give students the opportunity to test their gained knowledge. However, the creation of these quizzes is time-consuming, cognitively exhausting, and complex, as an expert in the field needs to create the quizzes and review the lecture material for validity. Therefore, this paper presents a concept to automatically generate self-assessment quizzes based on lecture material using a large language model (LLM) to reduce lecturers' workload and simplify the general quiz creation process. The developed prototype was handed to experts, who subsequently evaluated the approach. The results show that automatic quiz generation saves time and the quizzes cover the delivered lecture material well. However, the generated quizzes often lack originality and versatility. Therefore, further prompt engineering might be required to achieve more elaborate results.
DOI: 10.5281/zenodo.10040086
title: EvalQuiz - LLM-based Automated Generation of Self-Assessment Quizzes in Software Engineering Education

description: Self-assessment quizzes after lectures, educational videos, or chapters are a commonly used method in software engineering (SE) education to give students the opportunity to test their gained knowledge. However, the creation of these quizzes is time-consuming, cognitively exhausting, and complex, as an expert in the field needs to create the quizzes and review the lecture material for validity. Therefore, this paper presents a concept to automatically generate self-assessment quizzes based on lecture material using a large language model (LLM) to reduce lecturers' workload and simplify the general quiz creation process. The developed prototype was handed to experts, who subsequently evaluated the approach. The results show that automatic quiz generation saves time and the quizzes cover the delivered lecture material well. However, the generated quizzes often lack originality and versatility. Therefore, further prompt engineering might be required to achieve more elaborate results.
DOI: 10.5281/zenodo.10113326
title: Socioemotional behavior vs Context
DOI: 10.5281/zenodo.10113327
title: Socioemotional behavior vs Context
DOI: 10.34740/kaggle/dsv/6947678
title: WallStreetBets 2022
DOI: 10.5281/zenodo.7555775
title: Data from: Hurry Up and Wait: Managing the Inherent Mismatches in Timescales in  Natural and Artificial Photosynthetic Systems

description: Houle, Frances A.; Yano, Junko; Ager, Joel W.;
Hurry Up and Wait: Managing the Inherent Mismatches in Timescales in
Natural and Artificial Photosynthetic Systems


Files
Supplementary data coupled reaction-transport and cascades.xlxs
   Input parameters for Kinetiscope calculations and associated figure data


CO2R microkinetic model-DRC.ipynb
CO2R microkinetic model-DRC.pdf
  Jupyter notebook and pdf for degree of rate control in CO2 reduction
  Packages used:
   Python: 3.7.7
   Numpy: 1.21.5
   SciPy: 1.7.3
   Matplotlib: 3.5.1


Wang 2018 Pathway 1 only DRC.ipynb
Wang 2018 Pathway 1 only DRC.pdf
Jupyter notebook and pdf for degree of rate control photoelectrocatalytic water oxidation
   Python: 3.7.7
   Numpy: 1.21.5
   SciPy: 1.7.3
   mpmath: 1.2.1
   Matplotlib: 3.5.1
description: This material is based upon work performed by the Liquid Sunlight Alliance, which is supported by the U.S. Department of Energy, Office of Science, Office of Basic Energy Sciences, Fuels from Sunlight Hub under Award Number DE-SC0021266 (FAH) and by the Clean Energy Manufacturing Program,  U.S. Department of Energy, Office of Science, Office of Basic Energy Sciences, Chemical Sciences, Geosciences, and Biosciences Division, in under Contract No. DE-AC02-05CH11231 (JY and JWA).
DOI: 10.5281/zenodo.7555776
title: Data from: Hurry Up and Wait: Managing the Inherent Mismatches in Timescales in  Natural and Artificial Photosynthetic Systems

description: Houle, Frances A.; Yano, Junko; Ager, Joel W.;
Hurry Up and Wait: Managing the Inherent Mismatches in Timescales in
Natural and Artificial Photosynthetic Systems


Files
Supplementary data coupled reaction-transport and cascades.xlxs
   Input parameters for Kinetiscope calculations and associated figure data


CO2R microkinetic model-DRC.ipynb
CO2R microkinetic model-DRC.pdf
  Jupyter notebook and pdf for degree of rate control in CO2 reduction
  Packages used:
   Python: 3.7.7
   Numpy: 1.21.5
   SciPy: 1.7.3
   Matplotlib: 3.5.1


Wang 2018 Pathway 1 only DRC.ipynb
Wang 2018 Pathway 1 only DRC.pdf
Jupyter notebook and pdf for degree of rate control photoelectrocatalytic water oxidation
   Python: 3.7.7
   Numpy: 1.21.5
   SciPy: 1.7.3
   mpmath: 1.2.1
   Matplotlib: 3.5.1
description: This material is based upon work performed by the Liquid Sunlight Alliance, which is supported by the U.S. Department of Energy, Office of Science, Office of Basic Energy Sciences, Fuels from Sunlight Hub under Award Number DE-SC0021266 (FAH) and by the Clean Energy Manufacturing Program,  U.S. Department of Energy, Office of Science, Office of Basic Energy Sciences, Chemical Sciences, Geosciences, and Biosciences Division, in under Contract No. DE-AC02-05CH11231 (JY and JWA).
DOI: 10.5281/zenodo.6419993
title: Data from: Operando Proton Transfer Reaction-Time of Flight-Mass Spectrometry of Carbon Dioxide Reduction Electrocatalysis

description: Seven top-level folders


GC-PTR-TOF-MS
- Raw data and Jupyter Notebook used for analysis of GC-PTR-TOF-MS data


LSV-PTR-TOF-MS
- Raw data and Jupyter Notebook used for analysis of PTR-TOF-MS data under linear sweep voltammetry


MSCP-PTR-TOF-MS
- Raw data and Jupyter Notebook used for analysis of PTR-TOF-MS data under multi-step chronopotentiometry


PTR-TOF-MS-Calibration
- Raw data and Jupyter Notebook used for analysis of PTR-TOF-MS calibration data


SEM
- Raw images from scanning electron microscope


Stability
- Raw data of electrochemical stability


TEM
- Raw images from transmission electron microscopy
description: This work was supported by the National Research Foundation (NRF), Prime Minister's Office, Singapore under its Campus for Research Excellence and Technological Enterprise (CREATE) programme through the eCO2EP project operated by Cambridge Centre for Advanced Research and Education in Singapore (CARES) and the Berkeley Education Alliance for Research in Singapore (BEARS).
DOI: 10.5281/zenodo.6419994
title: Data from: Operando Proton Transfer Reaction-Time of Flight-Mass Spectrometry of Carbon Dioxide Reduction Electrocatalysis

description: GC-PTR-TOF-MS<br> - Raw data and Jupyter Notebook used for analysis of Cu-1 at 0.8 and 1.0 ampere per square centimeter LSV-PTR-TOF-MS<br> - Raw data and Jupyter Notebook used for analysis of Cu-1 and Cu-2 under linear sweep voltammetry MSCP-PTR-TOF-MS<br> - Raw data and Jupyter Notebook used for analysis of Cu-1 and Ni-doped Cu-1 under multi-step chronopotentiometry SEM<br> - Raw images from scanning electron microscope Stability<br> - Electrochemical stability TEM<br> - Raw images from transmission electron microscopy
description: This work was supported by the National Research Foundation (NRF), Prime Minister's Office, Singapore under its Campus for Research Excellence and Technological Enterprise (CREATE) programme through the eCO2EP project operated by Cambridge Centre for Advanced Research and Education in Singapore (CARES) and the Berkeley Education Alliance for Research in Singapore (BEARS).
DOI: 10.5281/zenodo.7047052
title: Data from: Operando Proton Transfer Reaction-Time of Flight-Mass Spectrometry of Carbon Dioxide Reduction Electrocatalysis

description: Seven top-level folders


GC-PTR-TOF-MS
- Raw data and Jupyter Notebook used for analysis of GC-PTR-TOF-MS data


LSV-PTR-TOF-MS
- Raw data and Jupyter Notebook used for analysis of PTR-TOF-MS data under linear sweep voltammetry


MSCP-PTR-TOF-MS
- Raw data and Jupyter Notebook used for analysis of PTR-TOF-MS data under multi-step chronopotentiometry


PTR-TOF-MS-Calibration
- Raw data and Jupyter Notebook used for analysis of PTR-TOF-MS calibration data


SEM
- Raw images from scanning electron microscope


Stability
- Raw data of electrochemical stability


TEM
- Raw images from transmission electron microscopy
description: This work was supported by the National Research Foundation (NRF), Prime Minister's Office, Singapore under its Campus for Research Excellence and Technological Enterprise (CREATE) programme through the eCO2EP project operated by Cambridge Centre for Advanced Research and Education in Singapore (CARES) and the Berkeley Education Alliance for Research in Singapore (BEARS).
DOI: 10.6073/pasta/c7bc668437d3bd7035cff8aa85b567a8
title: KFH01 Konza prairie fire history

description: The Konza burn history data is downloadable by year. Watershed names and codes listed are the current watershed designations (2010). Please note that several watershed designations have changed over the history of Konza. This is inevitable due to changes in research objectives but is problematic for those wanting to discover the full burn history of a given area. In some cases watersheds have simply been renamed to reflect changes in experimental burn treatments (e.g. R20A was formerly 1A). In other cases watersheds have been subdivided or aggregated from smaller watersheds (eg. in 1994 3B3UA was added to 20A (currently R1A) to form a larger watershed). In a few cases watershed names have been moved to new areas (e.g. 1D was moved from its original location in 1978 after the acquisition of new property. The original 1D watershed is now part of WB and 20C). Investigators should consult the proper watershed map for a given year to see watershed designations at the time of burning.
DOI: 10.6084/m9.figshare.24548089.v1
title: scDTEC: Unsupervised Deep Topology Embedded Characterization of Single-Cell Chromatin Accessibility Profiles

description: We selected six real scATAC-seq datasets to test the clustering<br>performance of scDTEC, including human cells, mouse cells, and in silico<br>mixtures.These datasets are also available for download and use on the Gene<br>Expression Omnibus (GEO) and ArrayExpress platforms.
DOI: 10.6084/m9.figshare.24433948
title: GRDC hydrological station with corrected position

description: The new location files of global GRDC hydrological station for HDMA and HydroSHEDS, the new GRDC hydrological station for Amazon Basin and the toolbox with a graphical user interface for the ASRA alogorithm
DOI: 10.25345/c51834d0r
title: MassIVE MSV000093376 - Metabolomics-based LC-HRMS Analysis of Liquid Fermentation Co-culture of Penicillium sp. LBKURCC34, Trichoderma sp. LBKURCC1, Trichoderma sp. LBKURCC2
title: Metabolomics-based LC-HRMS Analysis of Liquid Fermentation Co-culture of Penicillium sp. LBKURCC34, Trichoderma sp. LBKURCC1, Trichoderma sp. LBKURCC2
DOI: 10.25345/c5wh2dr48
title: MassIVE MSV000093377 - GNPS Metabolomics-based LC-HRMS Analysis of Liquid Fermentation Co-culture of Penicillium sp. LBKURCC34, Trichoderma sp. LBKURCC1, Trichoderma sp. LBKURCC2
title: GNPS Metabolomics-based LC-HRMS Analysis of Liquid Fermentation Co-culture of Penicillium sp. LBKURCC34, Trichoderma sp. LBKURCC1, Trichoderma sp. LBKURCC2
DOI: 10.6084/m9.figshare.24502318
title: Título del Artículo en Figshare

description: Descripción del Artículo en Figshare
DOI: 10.6084/m9.figshare.24502318.v1
title: Título del Artículo en Figshare

description: Descripción del Artículo en Figshare
DOI: 10.34740/kaggle/dsv/6947723
title: Global News Dataset
DOI: 10.15151/esrf-es-1317800714
title: The Netherlands BAG

description: The Netherlands BAG includes structural biology and enzymology groups situated at six Dutch universities (Utrecht, Groningen, Wageningen, Leiden, Eindhoven and Maastricht) and at the Netherlands Cancer Institute in Amsterdam, with a total of fourteen PIs. While the structural biology research projects carried out in these groups are highly diverse, they can be largely classified into two major themes: (i) research on proteins and systems with a strong biomedical relevance and (ii) research concerning the design of new biocatalysts for green chemistry and new-to-nature reactions. Projects deal with prokaryotic and eukaryotic proteins, membrane and soluble proteins, cell surface receptors, and protein-protein, protein-ribonucleotide, protein-drug and enzyme-ligand complexes.
DOI: 10.15151/esrf-es-1317815795
title: Structural Biology of macromolecules and macromolecular complexes from India

description: Structural biology research groups located in India constitute the INDIA-BAG and will utilize MX, SAXS and CryoEM to study different biological macromolecules. The non-proprietary agreement signed between ESRF and the Regional Centre for Biotechnology (RCB), on behalf of the Department of Biotechnology (DBT) enables studies that provide fundamental insight regarding different biological processes . About 50 groups are part of this BAG and the allocated beamtime will be available for over 500 young researchers. A brief description of all the research groups is provided in the global summary. The ESRF-India partnership is supported by a grant provided by the DBT. Please note that a comprehensive annual report has to be sent to the DBT to obtain release of funds to pay ESRF membership dues. Consequently, all the structural biologists from India are grouped in a single BAG to enable smooth allocation of beamtime and monitoring of progress to collect the required statistics.
DOI: 10.15151/esrf-es-1318521406
title: Southampton, Bristol, Cardiff, Exeter, KCL, UCL Royal Free Block Allocation Group (BAG)

description: This BAG coordinates activities of groups from the South-West of the UK. The focus of the bag is on projects in Immunology, enzymology, and transcriptional regulation. A particular strength are the macromolecular complexes that several of the groups target. The activities in rational protein design (Bristol) and in cancer immunology and enzyme mechanism (Southampton) are particular highlights, with high profile publication. Cardiff has joined the bag as a new member in 2022. Several bag members are active in using facilities such as icOS and ID29 serial as pointed out in the proposal. NB although ID29 is a separate proposal at present, we have a new member with the University of Essex, expected to join this bag when ID29 is part of the bag proposal.
DOI: 10.5281/zenodo.10115313
title: PRAGMATIC FEATURES OF THE EXPRESSION OF PHRASEOLOGICAL UNITS IN HUMOROUS DISCOURSE
DOI: 10.5281/zenodo.10115314
title: PRAGMATIC FEATURES OF THE EXPRESSION OF PHRASEOLOGICAL UNITS IN HUMOROUS DISCOURSE
DOI: 10.5281/zenodo.10115318
title: LINGUISTIC FACTORS AND THEIR REFLECTION IN TRANSLATION IN PHRASEOLOGISTS WITH SOCIO-PROFESSIONAL NOMINAL COMPONENTS IN ENGLISH AND UZBEKI
DOI: 10.5281/zenodo.10115319
title: LINGUISTIC FACTORS AND THEIR REFLECTION IN TRANSLATION IN PHRASEOLOGISTS WITH SOCIO-PROFESSIONAL NOMINAL COMPONENTS IN ENGLISH AND UZBEKI
DOI: 10.5281/zenodo.10115339
title: Kuesioner Penelitian Pengaruh Literasi Keuangan dan Financial Technology Terhadap Keberlangsungan Usaha Pelaku UMKM
title: Kuesioner Penelitian
DOI: 10.5281/zenodo.10115340
title: Kuesioner Penelitian Pengaruh Literasi Keuangan dan Financial Technology Terhadap Keberlangsungan Usaha Pelaku UMKM
title: Kuesioner Penelitian
DOI: 10.5281/zenodo.10114506
title: Repositori de dades meteorològiques de les estacions automàtiques de Catalunya

description: Aauest DataSet conté informació metorològica de la xarxa d'estacions meteorològiques de Catalunya (XEMA) entre els dies 1/10/2023 i 1/11/2023.
Conté les següents dades:

Estació : Codi de l'estació meteorològica
TemperaturaMitjana : Temperatura mitjana diaria
TemperaturaMaxima : Temperatura màxima diaria
TemperaturaMinima : Temperatura mínima diaria
Precipitacio : Precipitació acumulada durant el dia
Humitat : Humitat relativa mitjana
Pressio : Pressió atmosfèrica mitjana
RatxaVent : Ratxa màxima de vent
DireccioVent : Direcció de la ratxa màxima del vent
Irradiacio : Irradiació solar global
Data : Data de la observació
Estació.y : Nom de l'estació meteorològica
Latitud : Lcocalització de l'estació meteorològica
Longitud : Lcocalització de l'estació meteorològica
Comarca : Comarca on es troba l'estació meteoriloògica
Municipi : Municipi on es localitza l'estació meteorològica
Estat : Estat de l'estació (Operativa/Desmantellada)
link : Link d'accés a les dades de l'estació meteorològica
DOI: 10.5281/zenodo.10114507
title: Repositori de dades meteorològiques de les estacions automàtiques de Catalunya

description: Aauest DataSet conté informació metorològica de la xarxa d'estacions meteorològiques de Catalunya (XEMA) entre els dies 1/10/2023 i 1/11/2023.
Conté les següents dades:

Estació : Codi de l'estació meteorològica
TemperaturaMitjana : Temperatura mitjana diaria
TemperaturaMaxima : Temperatura màxima diaria
TemperaturaMinima : Temperatura mínima diaria
Precipitacio : Precipitació acumulada durant el dia
Humitat : Humitat relativa mitjana
Pressio : Pressió atmosfèrica mitjana
RatxaVent : Ratxa màxima de vent
DireccioVent : Direcció de la ratxa màxima del vent
Irradiacio : Irradiació solar global
Data : Data de la observació
Estació.y : Nom de l'estació meteorològica
Latitud : Lcocalització de l'estació meteorològica
Longitud : Lcocalització de l'estació meteorològica
Comarca : Comarca on es troba l'estació meteoriloògica
Municipi : Municipi on es localitza l'estació meteorològica
Estat : Estat de l'estació (Operativa/Desmantellada)
link : Link d'accés a les dades de l'estació meteorològica
DOI: 10.5281/zenodo.10115337
title: Data for "Observation and quantification of the pseudogap in unitary Fermi gases"

description: This dataset is for research article "Observation and quantification of the pseudogap in unitary Fermi gases".
DOI: 10.5281/zenodo.10115338
title: Data for "Observation and quantification of the pseudogap in unitary Fermi gases"

description: This dataset is for research article "Observation and quantification of the pseudogap in unitary Fermi gases".
DOI: 10.5281/zenodo.10115361
title: Data scraped for a website
DOI: 10.5281/zenodo.10115362
title: Data scraped for a website