cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.5236557
title: Convocatorias de los Ministerios o Secretarías de Ciencia, Tecnología e Innovación de América Latina - Dataset

description: Este Dataset contiene metadatos de todas las convocatorias de ciencia, tecnología e innovación disponibles en las páginas web de los organismos nacionales dedicados a esta misión de 11 países latinoamericanos. El Dataset contiene convocatorias tanto en español como en portugués y suman un total de 5.104 desde el 2004 hasta el 2021. Así mismo, CLACSO y CONICET de Argentina han ofrecido sus datos en un archivo de texto que también han sido incluidos en este Dataset. Este proyecto ha sido financiado con recursos IDRC en el marco del proyecto: <em>Research assessment in change: inclusivity in science systems and mission-oriented projects in research funding initiatives from the Global South. Reshaping quality evaluation through grounded and progressive methodologies.</em> Este proyecto es coordinado por el Consejo Latinoamericano de Ciencias Sociales y ha sido operado por el CoLaV de la Universidad de Antioquia. <strong>Diccionario de campos<br> <br> País: </strong>país al que pertenece la convocatoria.<br> <strong>Entidad: </strong>entidad nacional que emite o pública la convocatoria.<br> <strong>Tipo de convocatoria:</strong> tipología de la convocatoria según su función en el sistema ciencia.<br> <strong>Título:</strong> título de la convocatoria.<br> <strong>Links pdf: </strong>links de los pdf detectados en la publicación de la convocatoria.<br> <strong>Link:</strong> link que dirige a la convocatoria publicada<br> <strong>ID Convocatoria: </strong>ID del txt que contiene el texto de la convocatoria.<br> <strong>Fecha:</strong> fecha de publicación de la convocatoria Seguido a estos campos se encuentran 34 columnas (en matriz), una columna por ODS y otra contigua por meta de dicho ODS. En las columnas de ODS están registradas las apariciones de conceptos o palabras (tokens) relacionadas con dicho ODS, lo que le da fuerza temática a mayor aparición de conceptos relacionados. Anotando que esta solo tiene valores a en las convocatorias de ciencia, tecnología e innovación. <br> Nota, este dataset se complementa con los textos extraídos de las convocatorias de ciencia, tecnología e innovación publicado como: Convocatorias de ciencia, tecnología e investigación - Latam- Text con el siguiente DOI:10.5281/zenodo.5234421
DOI: 10.5281/zenodo.5236556
title: Convocatorias de los Ministerios o Secretarías de Ciencia, Tecnología e Innovación de América Latina - Dataset

description: Este Dataset contiene metadatos de todas las convocatorias de ciencia, tecnología e innovación disponibles en las páginas web de los organismos nacionales dedicados a esta misión de 11 países latinoamericanos. El Dataset contiene convocatorias tanto en español como en portugués y suman un total de 5.104 desde el 2004 hasta el 2021. Así mismo, CLACSO y CONICET de Argentina han ofrecido sus datos en un archivo de texto que también han sido incluidos en este Dataset. Este proyecto ha sido financiado con recursos IDRC en el marco del proyecto: <em>Research assessment in change: inclusivity in science systems and mission-oriented projects in research funding initiatives from the Global South. Reshaping quality evaluation through grounded and progressive methodologies.</em> Este proyecto es coordinado por el Consejo Latinoamericano de Ciencias Sociales y ha sido operado por el CoLaV de la Universidad de Antioquia. <strong>Diccionario de campos<br> <br> País: </strong>país al que pertenece la convocatoria.<br> <strong>Entidad: </strong>entidad nacional que emite o pública la convocatoria.<br> <strong>Tipo de convocatoria:</strong> tipología de la convocatoria según su función en el sistema ciencia.<br> <strong>Título:</strong> título de la convocatoria.<br> <strong>Links pdf: </strong>links de los pdf detectados en la publicación de la convocatoria.<br> <strong>Link:</strong> link que dirige a la convocatoria publicada<br> <strong>ID Convocatoria: </strong>ID del txt que contiene el texto de la convocatoria.<br> <strong>Fecha:</strong> fecha de publicación de la convocatoria Seguido a estos campos se encuentran 34 columnas (en matriz), una columna por ODS y otra contigua por meta de dicho ODS. En las columnas de ODS están registradas las apariciones de conceptos o palabras (tokens) relacionadas con dicho ODS, lo que le da fuerza temática a mayor aparición de conceptos relacionados. Anotando que esta solo tiene valores a en las convocatorias de ciencia, tecnología e innovación. <br> Nota, este dataset se complementa con los textos extraídos de las convocatorias de ciencia, tecnología e innovación publicado como: Convocatorias de ciencia, tecnología e investigación - Latam- Text con el siguiente DOI:10.5281/zenodo.5234421
DOI: 10.18462/iir.icr.2019.0541
title: Experimental evaluation of low-GWP replacements of R-404A in a stand-alone commercial cabinet for fresh product.
DOI: 10.6084/m9.figshare.17702948
title: Data

description: Data of macrobenthos and meiobenthos<br>
DOI: 10.6084/m9.figshare.17702948.v3
title: Data

description: Data of macrobenthos and meiobenthos<br>
DOI: 10.6084/m9.figshare.17702948.v2
title: Data

description: Data of macrobenthos and meiobenthos<br>
DOI: 10.18462/iir.icr.2019.0558
title: Modeling the heat transfer and the pressure loss in flat fin-and-tube compact heat exchangers.
DOI: 10.6084/m9.figshare.16529346
title: Data Penelitian.sav

description: Research data, MMP-13 analysis
DOI: 10.6084/m9.figshare.16529346.v1
title: Data Penelitian.sav

description: Research data, MMP-13 analysis
DOI: 10.5517/ccdc.csd.cc2127bq
title: CCDC 1878982: Experimental Crystal Structure Determination

description: Related Article: Beeraiah Baire, Jampani Santhi|2021|Org.Biomol.Chem.|20|247|doi:10.1039/D1OB02229F
DOI: 10.5517/ccdc.csd.cc2127cr
title: CCDC 1878983: Experimental Crystal Structure Determination

description: Related Article: Beeraiah Baire, Jampani Santhi|2021|Org.Biomol.Chem.|20|247|doi:10.1039/D1OB02229F
DOI: 10.5517/ccdc.csd.cc27x83k
title: CCDC 2082738: Experimental Crystal Structure Determination

description: Related Article: Agnieszka Adamczyk-Woźniak, Magdalena Tarkowska, Zofia Lazar, Ewa Kaczorowska, Izabela D. Madura, Anna Maria Dąbrowska, Jacek Lipok, Dorota Wieczorek|2021|Bioorg.Chem.|119|105560|doi:10.1016/j.bioorg.2021.105560
DOI: 10.5517/ccdc.csd.cc289xxf
title: CCDC 2094915: Experimental Crystal Structure Determination

description: Related Article: David Zanders, Nils Boysen, Michael A. Land, Jorit Obenlüneschloß, Jason D. Masuda, Bert Mallick, Seán T. Barry, Anjana Devi|2021|Eur.J.Inorg.Chem.|2021|5119|doi:10.1002/ejic.202100851
DOI: 10.5517/ccdc.csd.cc289xyg
title: CCDC 2094916: Experimental Crystal Structure Determination

description: Related Article: David Zanders, Nils Boysen, Michael A. Land, Jorit Obenlüneschloß, Jason D. Masuda, Bert Mallick, Seán T. Barry, Anjana Devi|2021|Eur.J.Inorg.Chem.|2021|5119|doi:10.1002/ejic.202100851
DOI: 10.5517/ccdc.csd.cc289xzh
title: CCDC 2094917: Experimental Crystal Structure Determination

description: Related Article: David Zanders, Nils Boysen, Michael A. Land, Jorit Obenlüneschloß, Jason D. Masuda, Bert Mallick, Seán T. Barry, Anjana Devi|2021|Eur.J.Inorg.Chem.|2021|5119|doi:10.1002/ejic.202100851
DOI: 10.5517/ccdc.csd.cc289y0k
title: CCDC 2094918: Experimental Crystal Structure Determination

description: Related Article: David Zanders, Nils Boysen, Michael A. Land, Jorit Obenlüneschloß, Jason D. Masuda, Bert Mallick, Seán T. Barry, Anjana Devi|2021|Eur.J.Inorg.Chem.|2021|5119|doi:10.1002/ejic.202100851
DOI: 10.5517/ccdc.csd.cc28h341
title: CCDC 2099882: Experimental Crystal Structure Determination

description: Related Article: Zeng-Bo Ke, Xin-Hui Fan, You-Ying Di, Feng-Ying Chen, Li-Jun Zhang, Ke Yang, Bing Li|2021|J.Mol.Struct.|1252|132145|doi:10.1016/j.molstruc.2021.132145
DOI: 10.5517/ccdc.csd.cc28zhlc
title: CCDC 2114683: Experimental Crystal Structure Determination

description: Related Article: Hossein Rouh, Yao Tang, Sai Zhang, Ahmed I. M. Ali, Kazimierz Surowiec, Daniel Unruh, Guigen Li|2021|RSC Advances|11|39790|doi:10.1039/D1RA08323F
DOI: 10.18462/iir.icr.2019.0562
title: Further development and experimental testing of a resistive sensor for monitoring frost formation in refrigeration systems.
DOI: 10.18462/iir.icr.2019.0564
title: Steady-state performance of electrochemical ammonia compression.
DOI: 10.18462/iir.icr.2019.0570
title: Integration of supermarket’s CO2 refrigeration system and geothermal storage.
DOI: 10.18462/iir.icr.2019.0571
title: Design optimization of an air-cooled bifurcated tube heat exchanger.
DOI: 10.18462/iir.icr.2019.1765
title: Effect of various freezing rate on freeze-drying process of water diagnosed by ultrasonic technology.
DOI: 10.18462/iir.icr.2019.0128
title: Numerical performance investigation of a CO2 heat pump and refrigeration system for a Nordic hotel.
DOI: 10.18462/iir.icr.2019.0155
title: Photovoltaic/Thermal (PV/T) to drive a dual source heat pump (ground and PV cooling): performance analysis in a real application.
DOI: 10.5281/zenodo.5809346
title: NaturalImageNet

description: A subset of ImageNet containing 20 fun animal classes for educational purposes. Results in a high dimensional dataset with a minimal storage footprint allowing for deep learning models to be easily trained and evaluated.
DOI: 10.5281/zenodo.5809345
title: NaturalImageNet

description: A subset of ImageNet containing 20 fun animal classes for educational purposes. Results in a high dimensional dataset with a minimal storage footprint allowing for deep learning models to be easily trained and evaluated.
DOI: 10.5281/zenodo.5809054
title: savanna conversion into oil palm

description: Here the dataset related to our research work on savanna conversion into oil palm in the savanna of Colombia
DOI: 10.18462/iir.icr.2019.0156
title: Solar thermal and ground source absorption heat pump: energy analysis for a nearly Zero Energy Building.
DOI: 10.18462/iir.icr.2019.0214
title: Experimental analysis of a gas-fired absorption heat pump with a refrigerant cooled flue gas heat exchanger.
DOI: 10.18462/iir.icr.2019.0242
title: High temperature heat pump using HFO and HCFO refrigerants – system design and experimental results.
DOI: 10.34740/kaggle/dsv/2984443
title: Covid-19 in Singapore : Latest Detailed Data
DOI: 10.18462/iir.icr.2019.0252
title: Novel high-efficient open sorption system using multilevel cascade reactors for space heating.
DOI: 10.18462/iir.icr.2019.0259
title: High temperature heat pumps – Theoretical study on low GWP HFO and HCFO refrigerants.
DOI: 10.18462/iir.icr.2019.0286
title: Overview on HCFO-R1233ZD(E) use for high temperature heat pump application.
DOI: 10.18462/iir.icr.2019.0293
title: A novel air-source heat pump system with integrated desiccant for electric vehicles.
DOI: 10.18462/iir.icr.2019.0308
title: Experimental investigation of a heat pump assisted drum drying system using propane (R290) as working fluid.
DOI: 10.18462/iir.icr.2019.0325
title: Investigation of an air source heat pump water heating system working at wide temperature scale.
DOI: 10.18462/iir.icr.2019.0400
title: Implementation of a 25kW NH3-H2O absorption resorption refrigeration unit in the heating, cooling and refrigeration network of a supermarket.
DOI: 10.5519/qd.k9kgh3lo
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (45 records)
DOI: 10.5281/zenodo.5809372
title: Data from: Size and Causes of the Shadow Economy in Iran: An Analysis with the MIMIC Approach

description: All the data needed (in raw form) in order to replicate the results of the paper “Size and Causes of the Shadow Economy in Iran: An Analysis with the MIMIC Approach” is available here. Information on how to use this data to produce the results is provided within the paper and its appendices. All the data gathered here are taken from public sources, namely the “World Bank” (World Development Indicators data), “Central Bank of the Islamic Republic of Iran”, “Plan and Budget Organization of the Islamic Republic of Iran” and “Statistical Center of Iran”.
description: For inquiries regarding the data and/or replication processes please contact the corresponding author, ML (mahdi.lotfi@aut.ac.ir).
DOI: 10.5281/zenodo.5808473
title: Data from: Size and Causes of the Shadow Economy in Iran: An Analysis with the MIMIC Approach

description: All the data needed (in raw form) in order to replicate the results of the paper “Size and Causes of the Shadow Economy in Iran: An Analysis with the MIMIC Approach” is available here. Information on how to use this data to produce the results is provided within the paper and its appendices. All the data gathered here are taken from public sources, namely the “World Bank” (World Development Indicators data), “Central Bank of the Islamic Republic of Iran”, “Plan and Budget Organization of the Islamic Republic of Iran” and “Statistical Center of Iran”.
description: For inquiries regarding the data and/or replication processes please contact the corresponding author, ML (mahdi.lotfi@aut.ac.ir).
DOI: 10.18462/iir.icr.2019.0415
title: Operating characteristics of heat pump type ventilation heat recovery system in winter.
DOI: 10.18462/iir.icr.2019.0444
title: A hardware-based heat pump water heater design model for quasi-steady-state simulation.
DOI: 10.18462/iir.icr.2019.0453
title: Modeling and optimization for the external heat exchanger of CO2 heat pump applied for electric vehicles.
DOI: 10.18462/iir.icr.2019.0467
title: Research progress of air source heat pump heating system suitable for cold area applications.
DOI: 10.6084/m9.figshare.12378077.v4
title: Aging_Heart_DO_data

description: 1) raw_rna_data.csv: raw counts matrix for RNA data.2) norm_RNA_data.csv: variance-stabilizing transformation (vst) normalized RNA data.3) heart_samples_peptides.tsv: raw peptide data.4) peptides_w_polymorphisms.csv: annotated polymorphic peptides for mass-spectrometry data processing.5) norm_protein_data.csv: processed mass-spectrometry data.6) mouse_annotations.csv: sample annotation with sex, age, generation and mass-spectrometry run information.<br>7) JAC_DO_heart_v9.gz: QTLviewer RData object.8) Heart_Data_December2021: Folder with all the scripts and inputs/outputs from the heart data analysis and processing.9) HeartWorkflow.pdf: diagram describing the data processing and QTLviewer object generation.
DOI: 10.18462/iir.icr.2019.0473
title: Thermodynamic performance of triple loop heat pump ventilation recovery system.
DOI: 10.18462/iir.icr.2019.0495
title: Waste heat recovery from urban electrical cable tunnels.
DOI: 10.18462/iir.icr.2019.0497
title: Experimental study of residential air-to-air heat pump performances in the field.
DOI: 10.18462/iir.icr.2019.0533
title: A new self-driven loop heat pipe used in HVAC systems: feasibility analysis.
DOI: 10.18462/iir.icr.2019.0540
title: Development of a photovoltaic driven thermodynamic chiller. Application to solar air conditioning and cooling storage.
DOI: 10.18462/iir.icr.2019.0543
title: Ammonia - carbon adsorption heat pump development.
DOI: 10.18462/iir.icr.2019.0638
title: A study on novel high efficiency vane compressor.
DOI: 10.18462/iir.icr.2019.0644
title: Experimental investigations of two-phase ejector operating with isobutane.
DOI: 10.18462/iir.icr.2019.0584
title: Performance evaluation and validation of a novel heat pump water heater with rotary compressor and D-shaped condenser coils.
DOI: 10.18462/iir.icr.2019.0603
title: Heat and mass transfer characteristics of a molded activated carbon/methanol pair for adsorption cooling.
DOI: 10.18462/iir.icr.2019.0646
title: Thermodynamic analysis of zeotropy mixtures for ejection refrigeration cycle.
DOI: 10.18462/iir.icr.2019.0657
title: Thermodynamic analysis of performance of two-phase injector.
DOI: 10.18462/iir.icr.2019.0613
title: Performance optimization of ground water heat pump system for space heating and cooling applications.
DOI: 10.18462/iir.icr.2019.0665
title: Analysis of heat recovery system for air-conditioning application in motor yachts.
DOI: 10.18462/iir.icr.2019.0645
title: Integration of a compact two fluid PCM heat exchanger into the hot superheated section of an air source heat pump cycle for
optimized DHW generation.
DOI: 10.18462/iir.icr.2019.0670
title: Virtual-prototype-based development of household refrigerator-freezer appliances.
DOI: 10.18462/iir.icr.2019.0647
title: Performance of ground source heat pump that uses direct expansion method for supplying hot water.
DOI: 10.18462/iir.icr.2019.0686
title: Absorption heat pump using R1234ze(E) and ionic liquid for PEMFC (Proton-Exchange Membrane Fuel Cells) vehicles.
DOI: 10.18462/iir.icr.2019.0649
title: Thermal performance of underground heat exchanger for ground source heat pump that uses direct expansion method.
DOI: 10.5519/qd.vxkbudjy
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (347 records)
DOI: 10.5281/zenodo.5785711
title: Scale growth data for analysis in Vollset et al. 2021

description: Scale samples of adult Atlantic salmon were compiled from 180 rivers in Norway, which comprise almost half of all Atlantic salmon rivers in Norway, during 1989-2016. The scales were collected by anglers when sport fishing in the various rivers. The back-calculation of fish length is based on the linear relationship between fish length and the diameter of the fish scale from the centre of the scale to the edge . We have focused on the average growth across four large geographic regions: South-western, south-western, middle-, and north Norway. In total, 52 371 Atlantic salmon were sampled by fishers. For each individual fish, the following data were used: length at capture (cm), back-calculated freshwater growth (cm), back-calculated early marine growth (cm), and smolt year, which is the year they migrated from the rivers as juveniles to the sea. Freshwater growth was defined as the distance from the centre of the scale to the end of the freshwater zone in the scale. Early marine growth, also termed post-smolt growth, was measured as the distance between the end of the freshwater zone and the end of the first winter at sea. Growth estimates from scales may be impacted by the size of the fish when they leave the rivers and enter the sea. To correct for this error, a relative growth estimate can be used where the early marine growth is divided by the freshwater growth of the individual, which we refer to as relative growth. Also, the timing of out-migration will vary by up to two months from north to south in Norway, meaning that the time to grow before winter is shorter for northern populations. Putative monthly growth estimates indicate that growth is limited from November, and we therefore calculate growth from day of out-migration to 31 October. Day of out migration was calculated according to using a model that explains out-migration data based on latitude, longitude, air temperature during winter, and river discharge. The estimated growth is called relative growth per day.
description: We are grateful to a number of anglers, land-owners and organisations involved in the scale sampling and data collection that enabled these analyses. We would like to thank the Norwegian Environment Agency, Institute of Marine Research (IMR), Rådgivende Biologer AS, Norwegian Institute for Nature Research (NINA), Statkraft Energi AS, the Power Companies in River Orkla and Grieg Seafood ASA for funding different parts of the data collection.
DOI: 10.5281/zenodo.5785710
title: Scale growth data for analysis in Vollset et al. 2021

description: Scale samples of adult Atlantic salmon were compiled from 180 rivers in Norway, which comprise almost half of all Atlantic salmon rivers in Norway, during 1989-2016. The scales were collected by anglers when sport fishing in the various rivers. The back-calculation of fish length is based on the linear relationship between fish length and the diameter of the fish scale from the centre of the scale to the edge . We have focused on the average growth across four large geographic regions: South-western, south-western, middle-, and north Norway. In total, 52 371 Atlantic salmon were sampled by fishers. For each individual fish, the following data were used: length at capture (cm), back-calculated freshwater growth (cm), back-calculated early marine growth (cm), and smolt year, which is the year they migrated from the rivers as juveniles to the sea. Freshwater growth was defined as the distance from the centre of the scale to the end of the freshwater zone in the scale. Early marine growth, also termed post-smolt growth, was measured as the distance between the end of the freshwater zone and the end of the first winter at sea. Growth estimates from scales may be impacted by the size of the fish when they leave the rivers and enter the sea. To correct for this error, a relative growth estimate can be used where the early marine growth is divided by the freshwater growth of the individual, which we refer to as relative growth. Also, the timing of out-migration will vary by up to two months from north to south in Norway, meaning that the time to grow before winter is shorter for northern populations. Putative monthly growth estimates indicate that growth is limited from November, and we therefore calculate growth from day of out-migration to 31 October. Day of out migration was calculated according to using a model that explains out-migration data based on latitude, longitude, air temperature during winter, and river discharge. The estimated growth is called relative growth per day.
description: We are grateful to a number of anglers, land-owners and organisations involved in the scale sampling and data collection that enabled these analyses. We would like to thank the Norwegian Environment Agency, Institute of Marine Research (IMR), Rådgivende Biologer AS, Norwegian Institute for Nature Research (NINA), Statkraft Energi AS, the Power Companies in River Orkla and Grieg Seafood ASA for funding different parts of the data collection.
DOI: 10.5281/zenodo.5808277
title: Datasets for SPNet

description: The datasets are used in paper <em>Deep learning for locating contaminated sites from self-potential signals: a laboratory perspective</em>. SPtest.mat: This mat file includes 100,000 SP sources models and associated forward modeling SP signals. Note that the SP signals in this file have been added 1% to 3% Gaussian noise and have been normalized to [0,1]. Therefore, the datasets can be fed in SPNet training directly. If you want to have the actual forward modeling SP response, you can use the 3D forward modeling codes at Github https://github.com/geohang/SPNet. Observed.mat: This is the laboratory-measured SP signal, which has been interpolated to have the same size as the input of the SPNet. True.mat: The true locations of the contaminated source in the laboratory experiment.
DOI: 10.18462/iir.icr.2019.0689
title: Gas dynamic analysis of a rotary compressor with vapor injection.
DOI: 10.18462/iir.icr.2019.0712
title: Pore-scale 2D modeling of sensible thermal heat storage in a packed bed.
DOI: 10.18462/iir.icr.2019.0732
title: Modelling and experimental evaluation of a condenser for a heat-pump tumble dryer.
DOI: 10.18462/iir.icr.2019.0717
title: Design of heat pipe heat sink used for cooling controller of inverter air conditioner.
DOI: 10.18462/iir.icr.2019.0719
title: Research on heat transfer of the closed-loop thermosyphon system with microencapsulated phase change material suspension.
DOI: 10.18462/iir.icr.2019.0728
title: Electrical demand side flexibility from refrigeration systems with thermal energy storage based on a model predictive control strategy: Influence of model uncertainties.
DOI: 10.34740/kaggle/ds/1828222
title: Temperature in Reddelich, MV, Germany
DOI: 10.7910/dvn/mywptf
title: Replication Data for: Reframing the Guardianship Dilemma: How the Military’s Dual Disloyalty Options Imperil Dictators

description: These files can be used to replicate every empirical reference in Paine, Jack. "Reframing the Guardianship Dilemma: How the Military’s Dual Disloyalty Options Imperil Dictators" American Political Science Review.
DOI: 10.5281/zenodo.5809231
title: EDGAR Tables

description: EDGAR Tables