cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.7846210
title: Dataset: Análisis de alquiler de inmuebles de la ciudad de Lima-Perú a través de la plataforma Properati

description: <strong>Práctica 1: M2.851 - Tipología y ciclo de vida de los datos</strong> Desarrollado por Félix Mucha y Jose Enriquez <strong>Descripción</strong> El proyecto desarrollado se conecta a un portal inmobiliario, que contiene características de inmuebles disponibles para alquiler. La información por recuperar contendrá, ubicación, precios y número de habitaciones como variables principales. Después de realizar el scraper del portal se almacenará en formato CSV, para que después se realice el análisis. <strong>Datos extraídos</strong> Por cada inmueble se tendrá los datos siguientes: title: título del anunció de alquiler. location: dirección del inmueble. price: pecio de alquiler. bedroom: número de habitaciones. bathroom: número de baños. area: área del inmueble. year_contruction: año de construcción. maintenance: costo de mantenimiento en el edificio del inmueble. housing_type: tipo de inmueble. operation_type: tipo de operación alquiler o venta. En nuestro caso solo es alquiler. date_pub: fecha de publicación del anuncio. url: link para acceder al inmueble. Analizando las variables podemos obtener: Análisis de precios. - Ayuda a los propietarios o corredores de alquiler de propiedades asignar precios adecuados y competitivos. Análisis de preferencias. - Permite a los propietarios realizar adecuaciones a los inmuebles teniendo en cuenta la temporalidad y condiciones económicas. Análisis de la oferta. - Ayuda a tener la información al propietario de la disponibilidad de inmuebles a alquilar de otros inmuebles similares. Análisis de la demanda de propiedades. - Nos permite determinar la demanda de propiedades en distintos distritos de Lima e identificar aquellos con mayor demanda. Análisis de marketing. – Permite evaluar el alcance y la efectividad de los canales de marketing y publicidad.
description: {"references": ["Lawson, R. (2015). Web Scraping with Python. Packt Publishing Ltd. Chapter 2. Scraping the Data.", "Subirats, L., Calvo, M. (2018). Web Scraping. Editorial UOC.", "Masip, D. (2019). El lenguaje Python. Editorial UOC.", "Simon Munzert, Christian Rubba, Peter Mei\u00dfner, Dominic Nyhuis. (2015). Automated Data Collection with R: A Practical Guide to Web Scraping and Text Mining. John Wiley & Sons."]}
DOI: 10.35077/act-wax
title: Neuron Morphology data in tiff stack format from Patch-seq experiments in human neocortex, Cell ID 914826774

description: Human neocortical neurons display diverse morphology, physiology and gene expression profiles. We use a method called Patch-seq, where these three data modalities are assayed simultaneously from the same neuron, to understand how the genetic profile of human neocortical neuron types corresponds to their morphological and electrophysiological phenotypes. This collection may contain image stacks (TIFF), reconstruction files in image space (.swc, µm), a transformed file (.swc, µm) oriented so that the y axis extends vertically towards the pia surface, and a marker file (.marker, µm) indicating nodes where dendrites were truncated (10), reconstruction was not continued (20), or surface of tissue was closest to soma (30).
description: https://www.protocols.io/view/patch-seq-recording-and-extraction-detailed-protoc-5qpvoyb2bg4o/v2, https://www.protocols.io/view/3d-reconstruction-of-neurons-in-vaa3d-v-3-36wgq5683gk5/v3
description: DATASET METADATA: title:'Neuron Morphology data in tiff stack format from Patch-seq experiments in human neocortex, Cell ID 914826774', GeneralModality:'cell morphology', Technique:'Patch-seq' SPECIMEN METADATA: LocalID:'H19.06.360', Species:'Human', NCBITaxonomy:'NCBI:txid9606', Age:'44', Ageunit:'years', Sex:'Female', Genotype:'culture, enhancer AAV', OrganName:'Brain', SampleLocalID:'914826774', Atlas:'Ding, Song-Lin et al. “Comprehensive cellular-resolution atlas of the adult human brain.” The Journal of comparative neurology vol. 524,16 (2016): 3127-481. doi:10.1002/cne.24502', Locations:'FroL' INSTRUMENT METADATA: MicroscopeType:'Brightfield', MicroscopeManufacturerAndModel:'Zeiss AxioImager Z2 microscope', ObjectiveImmersion:'Oil' IMAGE METADATA: xAxis:'NA', yAxis:'NA', zAxis:'NA', Number:'NA', displayColor:'NA', stepSizeX:'0.114', stepSizeY:'0.114', stepSizeZ:'0.44'
DOI: 10.35077/act-web
title: Neuron Morphology data in tiff stack format from Patch-seq experiments in human neocortex, Cell ID 932161443

description: Human neocortical neurons display diverse morphology, physiology and gene expression profiles. We use a method called Patch-seq, where these three data modalities are assayed simultaneously from the same neuron, to understand how the genetic profile of human neocortical neuron types corresponds to their morphological and electrophysiological phenotypes. This collection may contain image stacks (TIFF), reconstruction files in image space (.swc, µm), a transformed file (.swc, µm) oriented so that the y axis extends vertically towards the pia surface, and a marker file (.marker, µm) indicating nodes where dendrites were truncated (10), reconstruction was not continued (20), or surface of tissue was closest to soma (30).
description: https://www.protocols.io/view/patch-seq-recording-and-extraction-detailed-protoc-5qpvoyb2bg4o/v2, https://www.protocols.io/view/3d-reconstruction-of-neurons-in-vaa3d-v-3-36wgq5683gk5/v3
description: DATASET METADATA: title:'Neuron Morphology data in tiff stack format from Patch-seq experiments in human neocortex, Cell ID 932161443', GeneralModality:'cell morphology', Technique:'Patch-seq' SPECIMEN METADATA: LocalID:'H19.03.318', Species:'Human', NCBITaxonomy:'NCBI:txid9606', Age:'45', Ageunit:'years', Sex:'Female', Genotype:'culture, enhancer AAV', OrganName:'Brain', SampleLocalID:'932161443', Atlas:'Ding, Song-Lin et al. “Comprehensive cellular-resolution atlas of the adult human brain.” The Journal of comparative neurology vol. 524,16 (2016): 3127-481. doi:10.1002/cne.24517', Locations:'MTG' INSTRUMENT METADATA: MicroscopeType:'Brightfield', MicroscopeManufacturerAndModel:'Zeiss AxioImager Z2 microscope', ObjectiveImmersion:'Oil' IMAGE METADATA: xAxis:'NA', yAxis:'NA', zAxis:'NA', Number:'NA', displayColor:'NA', stepSizeX:'0.114', stepSizeY:'0.114', stepSizeZ:'0.44'
DOI: 10.5281/zenodo.7358117
title: Biomass properties and gasification results dataset

description: data_GASIF_biomass.csv contains data on biomass properties, gasification conditions, and results of the gasification process; data_NEW_biomasses.csv contains data on the properties of different biomasses
DOI: 10.5281/zenodo.7358116
title: Biomass properties and gasification results dataset

description: data_GASIF_biomass.csv contains data on biomass properties, gasification conditions, and results of the gasification process; data_NEW_biomasses.csv contains data on the properties of different biomasses
DOI: 10.5281/zenodo.7857483
title: TRACE-Omicron: Epidemiological Counterfactuals; Tractable Strain

description: This repository contains the simulation data corresponding to the Epidemiological Counterfactuals under the Tractable Strain baseline scenario in "TRACE-Omicron: Policy Counterfactuals to Inform Mitigation of COVID-19 Spread in the United States" published in Advanced Theory and Simulations (doi:10.1002/adts.202300147)
DOI: 10.5281/zenodo.7857482
title: TRACE-Omicron: Epidemiological Counterfactuals; Tractable Strain

description: This repository contains the simulation data corresponding to the Epidemiological Counterfactuals under the Tractable Strain baseline scenario in "TRACE-Omicron: Policy Counterfactuals to Inform Mitigation of COVID-19 Spread in the United States" published in Advanced Theory and Simulations (doi:10.1002/adts.202300147)
DOI: 10.35077/act-wet
title: Neuron Morphology data in tiff stack format from Patch-seq experiments in human neocortex, Cell ID 941707648

description: Human neocortical neurons display diverse morphology, physiology and gene expression profiles. We use a method called Patch-seq, where these three data modalities are assayed simultaneously from the same neuron, to understand how the genetic profile of human neocortical neuron types corresponds to their morphological and electrophysiological phenotypes. This collection may contain image stacks (TIFF), reconstruction files in image space (.swc, µm), a transformed file (.swc, µm) oriented so that the y axis extends vertically towards the pia surface, and a marker file (.marker, µm) indicating nodes where dendrites were truncated (10), reconstruction was not continued (20), or surface of tissue was closest to soma (30).
description: https://www.protocols.io/view/patch-seq-recording-and-extraction-detailed-protoc-5qpvoyb2bg4o/v2, https://www.protocols.io/view/3d-reconstruction-of-neurons-in-vaa3d-v-3-36wgq5683gk5/v3
description: DATASET METADATA: title:'Neuron Morphology data in tiff stack format from Patch-seq experiments in human neocortex, Cell ID 941707648', GeneralModality:'cell morphology', Technique:'Patch-seq' SPECIMEN METADATA: LocalID:'H19.06.361', Species:'Human', NCBITaxonomy:'NCBI:txid9606', Age:'51', Ageunit:'years', Sex:'Male', Genotype:'culture, enhancer AAV', OrganName:'Brain', SampleLocalID:'941707648', Atlas:'Ding, Song-Lin et al. “Comprehensive cellular-resolution atlas of the adult human brain.” The Journal of comparative neurology vol. 524,16 (2016): 3127-481. doi:10.1002/cne.24519', Locations:'TemL' INSTRUMENT METADATA: MicroscopeType:'Brightfield', MicroscopeManufacturerAndModel:'Zeiss AxioImager Z2 microscope', ObjectiveImmersion:'Oil' IMAGE METADATA: xAxis:'NA', yAxis:'NA', zAxis:'NA', Number:'NA', displayColor:'NA', stepSizeX:'0.114', stepSizeY:'0.114', stepSizeZ:'0.44'
DOI: 10.6084/m9.figshare.22685278
title: Trujillo-Salpo Dataset

description: This is the supplementary dataset for the article "Effect of acute altitude exposure on physiological parameters and glucose metabolism in healthy lowland Peruvians". <br> The file is in tab-delimited text format where each column represents a measured value, and each row represents an individual study participant.
DOI: 10.25422/azu.data.22000958.v1
title: Data for "Predicting drivers of Cu leaf accumulation in five plant species: how properties of soil and climate explain variation in Cu leaf accumulation"

description: Data for the paper Mattiello et al. (2023). The data are environmental variables (growing degree days and total solar radiation), soil variables (bulk density, pH, electrical conductivity, total equivalent carbonate concentration, gravel concentration, soil texture, soil total, and available element concentrations), and plant nutrients concentration in roots and leaves of five species (<em>Lolium perenne</em>, <em>Plantago lanceolata</em>, <em>Rumex obtusifolius</em>, <em>Taraxacum officinale</em>, and <em>Trifolium repens</em>) commonly found in the understory vegetation of Mediterranean vineyard (notes 1-10). Data are from nine organic vineyards, two conventional vineyards, and two control (not vineyards and uncontaminated) sites located in the region of Friuli Venezia Giulia (Italy). The data in notes 11 and 12 are from a controlled experiment performed on plants grown from seeds collected at three sampled vineyards. These data were analyzed in the above-mentioned citation (if data needed to be transformed for achieving normality and homogeneity of variance, these transformations are shown in this database as well). <br> <em>For inquiries regarding the contents of this dataset, please contact the Corresponding Author listed in the README.txt file. Administrative inquiries (e.g., removal requests, trouble downloading, etc.) can be directed to data-management@arizona.edu</em>
DOI: 10.25422/azu.data.22000958
title: Data for "Predicting drivers of Cu leaf accumulation in five plant species: how properties of soil and climate explain variation in Cu leaf accumulation"

description: Data for the paper Mattiello et al. (2023). The data are environmental variables (growing degree days and total solar radiation), soil variables (bulk density, pH, electrical conductivity, total equivalent carbonate concentration, gravel concentration, soil texture, soil total, and available element concentrations), and plant nutrients concentration in roots and leaves of five species (<em>Lolium perenne</em>, <em>Plantago lanceolata</em>, <em>Rumex obtusifolius</em>, <em>Taraxacum officinale</em>, and <em>Trifolium repens</em>) commonly found in the understory vegetation of Mediterranean vineyard (notes 1-10). Data are from nine organic vineyards, two conventional vineyards, and two control (not vineyards and uncontaminated) sites located in the region of Friuli Venezia Giulia (Italy). The data in notes 11 and 12 are from a controlled experiment performed on plants grown from seeds collected at three sampled vineyards. These data were analyzed in the above-mentioned citation (if data needed to be transformed for achieving normality and homogeneity of variance, these transformations are shown in this database as well). <br> <em>For inquiries regarding the contents of this dataset, please contact the Corresponding Author listed in the README.txt file. Administrative inquiries (e.g., removal requests, trouble downloading, etc.) can be directed to data-management@arizona.edu</em>
DOI: 10.5281/zenodo.7860328
title: Steam Games

description: Videogames data scrapped from steam. Contains: <strong>'is_dlc' → If it is a DLC of another game</strong> <strong>'img_src' → Header image src</strong> <strong>'short_description' → Short game description (in spanish)</strong> <strong>'recent_reviews' → Valoration in recent reviews</strong> <strong>'recent_reviews_count' -&gt; Number of recent reviews</strong> <strong>'all_reviews' → Valoration in all times reviews</strong> <strong>'all_reviews_count' → Total number of reviews</strong> <strong>'reviews_anomally' → Whether is ther an anomally in reviews</strong> <strong>'release_date' → Release date</strong> <strong>'developer' → Developer</strong> <strong>'developer_url' → URL to Developer web page</strong> <strong>'publisher' → Publisher</strong> <strong>'publisher_url' → URL to publisher web page</strong> <strong>'tags' → Categories of this videogame</strong> <strong>'discount_original_price' → Videogame original price (in case there is a discount)</strong> <strong>'discount_final_price' → Videogame discounted price</strong> <strong>'discount' → % of discount</strong> <strong>'price' → Videogame original price (in case there aren't any discount)</strong> <strong>'game_content' → More content linked to this videogame</strong> <strong>'name' → Name</strong> <strong>'genre' → Genre</strong> <strong>'website' → Videogame's original website</strong> <strong>'metacritic_score' → Metacritic score</strong> <strong>'metacritic_url' → URL to metacritic game's page.</strong>
DOI: 10.5281/zenodo.7860327
title: Steam Games

description: Videogames data scrapped from steam. Contains: <strong>'is_dlc' → If it is a DLC of another game</strong> <strong>'img_src' → Header image src</strong> <strong>'short_description' → Short game description (in spanish)</strong> <strong>'recent_reviews' → Valoration in recent reviews</strong> <strong>'recent_reviews_count' -&gt; Number of recent reviews</strong> <strong>'all_reviews' → Valoration in all times reviews</strong> <strong>'all_reviews_count' → Total number of reviews</strong> <strong>'reviews_anomally' → Whether is ther an anomally in reviews</strong> <strong>'release_date' → Release date</strong> <strong>'developer' → Developer</strong> <strong>'developer_url' → URL to Developer web page</strong> <strong>'publisher' → Publisher</strong> <strong>'publisher_url' → URL to publisher web page</strong> <strong>'tags' → Categories of this videogame</strong> <strong>'discount_original_price' → Videogame original price (in case there is a discount)</strong> <strong>'discount_final_price' → Videogame discounted price</strong> <strong>'discount' → % of discount</strong> <strong>'price' → Videogame original price (in case there aren't any discount)</strong> <strong>'game_content' → More content linked to this videogame</strong> <strong>'name' → Name</strong> <strong>'genre' → Genre</strong> <strong>'website' → Videogame's original website</strong> <strong>'metacritic_score' → Metacritic score</strong> <strong>'metacritic_url' → URL to metacritic game's page.</strong>
DOI: 10.5281/zenodo.7860342
title: SDF format of Crystallography Open Database - April 2023

description: This is a dump & transform to SDF of the crystallography open database that I computed & published in the context of a blog post. You can use that as alternative to extract angle, dihedral or distance statistics from freely & openly accessible crystal structures.
DOI: 10.5281/zenodo.7860341
title: SDF format of Crystallography Open Database - April 2023

description: This is a dump & transform to SDF of the crystallography open database that I computed & published in the context of a blog post. You can use that as alternative to extract angle, dihedral or distance statistics from freely & openly accessible crystal structures.
DOI: 10.6084/m9.figshare.3761562.v2566
title: Online Labour Index: Measuring the Online Gig Economy for Policy and Research

description: Data repository for the data underlying the Online Labour Index. See http://ilabour.oii.ox.ac.uk online-labour-index/ for details.
DOI: 10.6084/m9.figshare.22688017
title: New and simplified manual controls for projection and slice tours, with application to exploring classification boundaries in high dimensions

description: This paper describes new user controls for examining high-dimensional data using low-dimensional linear projections and slices. A user can interactively change the contribution of a given variable to a low-dimensional projection, which is useful for exploring the sensitivity of structure to particular variables. The user can also interactively shift the center of a slice, for example, to explore how structure changes in local subspaces. The Mathematica package as well as example notebooks are provided, which contain functions enabling the user to experiment with these new manual controls, with one specifically for exploring regions and boundaries produced by classification models. The advantage of Mathematica is its linear algebra capabilities and interactive cursor location controls. Some limited implementation has also been made available in the R package tourr.
DOI: 10.25345/c5804xv78
title: MassIVE MSV000091789 - GNPS Human Milk Samples from IATA-CSIC
title: Untargeted metabolomics of 141 human milk samples provided by Dr. Maria Carmen Collado (Department of Biotechnology, Institute of Agrochemistry and Food Technology, National Research Council, Valencia, Spain)
DOI: 10.34943/2c64833f-7833-4c7f-be64-f0ba0834b827
title: Endeavour South Current Meter Deployed 2012-06-14

description: The Nortek Aquadopp Current Meter A3L4889 AQD2572 was deployed on 2012-06-14 at Endeavour South. This south section of the Endeavour Hydrothermal Vents includes two moorings to monitor the regional circulation. This device is a Current Meter. Acoustic Current Meters (ACM) measure current speed and direction, using the Doppler Effect. Aquadopp current metres have a sensor head that contains 3 acoustic transducers, a tilt sensor, a temperature sensor and a pressure sensor. The instrument transmits a short pulse of sound, and then listens to its echo to measure the change in pitch or frequency. The change in pitch can determine the velocity of the current. It was deployed on a fixed platform. Data from this deployment were archived and made available through Ocean Networks Canada's Oceans 2.0 digital infrastructure, with quality assurance and derived data products following established practices.
DOI: 10.34943/f3c2df58-cddb-4fc7-bc56-1b6c16f0888f
title: Endeavour North Current Meter Deployed 2021-08-27

description: The Nortek Aquadopp Current Meter A3L4889 AQD2572 was deployed on 2021-08-27 at Endeavour North. This north section of the Endeavour Hydrothermal Vents includes two moorings to monitor the regional circulation. This device is a Current Meter. Acoustic Current Meters (ACM) measure current speed and direction, using the Doppler Effect. Aquadopp current metres have a sensor head that contains 3 acoustic transducers, a tilt sensor, a temperature sensor and a pressure sensor. The instrument transmits a short pulse of sound, and then listens to its echo to measure the change in pitch or frequency. The change in pitch can determine the velocity of the current. It was deployed on a fixed platform. Data from this deployment were archived and made available through Ocean Networks Canada's Oceans 3.0 digital infrastructure, with quality assurance and derived data products following established practices.
DOI: 10.5281/zenodo.7860472
title: Water quality data from Talkpool sensor

description: Talkpool installed water quality sensors measuring temperature, conductivity, pH and turbidity in recipients receiving wast water from construction sites to be able to monitor the influence of waste water from construction sites on water quality in those recipients. Sensors are installed both upstream and downstream from the discharge point to be able to measure the effect of the waste water.
DOI: 10.5281/zenodo.7860471
title: Water quality data from Talkpool sensor

description: Talkpool installed water quality sensors measuring temperature, conductivity, pH and turbidity in recipients receiving wast water from construction sites to be able to monitor the influence of waste water from construction sites on water quality in those recipients. Sensors are installed both upstream and downstream from the discharge point to be able to measure the effect of the waste water.
DOI: 10.5517/ccdc.csd.cc28q38d
title: CCDC 2106613: Experimental Crystal Structure Determination

description: Related Article: Hiroto Fujisaki, Tomoya Ishizuka, Hiroaki Kotani, Yoshihito Shiota, Kazunari Yoshizawa, Takahiko Kojima|2023|Nature (London)|616|476|doi:10.1038/s41586-023-05821-2
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc299n9l
title: CCDC 2124439: Experimental Crystal Structure Determination

description: Related Article: Shin‐ichiro Kawano, Takahiro Harada, Ako Sasaki, Kentaro Tanaka|2023|Eur.J.Inorg.Chem.|26|e202200592|doi:10.1002/ejic.202200592
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc2btrxv
title: CCDC 2169718: Experimental Crystal Structure Determination

description: Related Article: Ekaterina Lapsheva, Qiaomu Yang, Thibault Cheisson, Pragati Pandey, Patrick J. Carroll, Michael Gau, Eric J. Schelter|2023|Inorg.Chem.|62|6155|doi:10.1021/acs.inorgchem.3c00375
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.