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12,871 results for “aged”
Harmonized data and code for "Plankton response to global warming is characterized by non-uniform shifts in assemblage composition since the last ice age"
<p>Harmonized data and R code for "Plankton response to global warming is characterized by non-uniform shifts in assemblage composition since the last ice age" by Tonke Strack, Lukas Jonkers, Marina C. Rillo, Helmut Hillebrand and Michal Kucera (in <em>Nature Ecology & Evolution</em>, 2022, https://doi.org/10.1038/s41559-022-01888-8).</p> <p>Analyse planktonic foraminifera species assemblages from the North Atlantic Ocean over the past 24,000 years.</p> <p>Scripts written by Tonke Strack</p> <p>DATA SOURCES<br>* WOA18: Locarnini, R. A. et al. World Ocean Atlas 2018, Volume 1: Temperature. A. Mishonov, Technical Editor. NOAA Atlas NESDIS 81, 52 (2019).<br>* LGMR: Osman, M. B. et al. Globally resolved surface temperatures since the Last Glacial Maximum. Nature 599, 239-244, doi:10.1038/s41586-021-03984-4 (2021).<br>* MARGO: Kucera, M., Rosell-Melé, A., Schneider, R., Waelbroeck, C. & Weinelt, M. Multiproxy approach for the reconstruction of the glacial ocean surface (MARGO). Quat. Sci. Rev. 24, 813-819, doi:10.1016/j.quascirev.2004.07.017 (2005). Kucera, M. et al. Reconstruction of sea-surface temperatures from assemblages of planktonic foraminifera: multi-technique approach based on geographically constrained calibration data sets and its application to glacial Atlantic and Pacific Oceans. Quat. Sci. Rev. 24, 951-998, doi:10.1016/j.quascirev.2004.07.014 (2005).<br>* planktonic foraminifera assemblage data: individual citations provided in CoreList_PlanktonicForaminifera.csv</p> <p>DATA<br>1. Harmonized assemblage data*: FullDataTable_PF_harmonized.txt<br>2. Core list with additional information to time series: CoreList_PlanktonicForaminifera.csv<br>3. Reference list for PF names: ReferenceList_PlanktonicForaminifera.csv</p> <p>CODE<br>1. 01_DataAnalysis_PCA.R: principal component analysis on assemblage data of individual time series as well as on whole dissimilarity matrix (results shown in Fig. 1 and 2)<br>2. 02_DataAnalysis_LocalBiodiversityChange.R: local biodiversity change analysis of individual time series (results shown in Fig. 3 and Extended Data Fig. 1); also recalculates resolution of time-series<br>3. 03_DataAnalysis_NoAnalogueAssemblages.R: calculates compositional dissimilarity to the nearest LGM sample to analyse existence of no-analogues (results shown in Fig. 4, as well as Extended Data Fig. 3 and 4)<br>4. 04_DataAnalysis_LDG_LGMresiduals.R: visualises latitudinal diversity gradient through time and the difference between richness and Shannon diversity to their respective LGM mean values (results shown in Fig. 5)</p> <p>*Assemblage data of individual time series were manually downloaded, checked and harmonized following the taxonomy of Siccha and Kucera (2017) and combined into one data file. Species not reported in the time series data were assumed to be absent (i.e., zero abundance). We merged <em>Globigerinoides ruber ruber</em> and <em>Globigerinoides ruber albus</em>, because some studies only reported them together as <em>Globigerinoides ruber</em>. Also, P/D intergrades (an informal category of morphological intermediates between <em>Neogloboquadrina incompta</em> and <em>Neogloboquadrina dutertrei</em>) were merged with <em>Neogloboquadrina incompta</em>. In total, 41 species of planktonic foraminifera were included in this study.</p> <p>Siccha, M. & Kucera, M. ForCenS, a curated database of planktonic foraminifera census counts in marine surface sediment samples. <em>Sci. Data</em> 4, 170109, doi:10.1038/sdata.2017.109 (2017).</p>
Scribe of Ages: Playing with 6th to 13th c.-Iberian Manuscripts
<p><strong>Motivación</strong></p> <p>Hace muchísimo tiempo, creo que desde que me enteré de que la paleografía existía como ciencia y en qué consistía, que he tenido la ilusión de desarrollar <strong>un videojuego sobre manuscritos medievales</strong>. No soy muy del tema, pero los de temática histórica sí que tienen un hueco en casa y continúo aprendiendo gracias a ellos. Siempre me ha parecido increíblemente bonita la escritura como tal, desde un punto de vista meramente estético, y más aún cuando empezamos a pensar que es el resultado de gente que, ya sea como individuos o como sociedad, también se veían reflejados en ella. Cuanto más capturada estaba por la escritura, los manuscritos y la paleografía en sí, más me sorprendía que no lo estuviera todo el mundo.</p> <p>Cuando empecé a dar clase comencé a entender por qué. Y es que, aunque la carga estética sí es fácil de apreciar, las diferentes grafías y el idioma (véase el latín medieval apreciado por todos) hacían ya no solo prácticamente incomprensible, sino, y más importante, tedioso para los alumnos el acercarse a las fuentes manuscritas. Mi idea del videojuego cobró entonces más fuerza. Si conseguía meterles en la cabeza las <strong>abreviaturas</strong>, los diferentes tipos de <strong>alfabetos</strong>, como si fuera un juego, quizás verían los manuscritos con otros ojos. Pero, llevar a cabo algo así no es fácil. De hecho, ¡diseñar un videojuego es tremendamente difícil! A lo que me refiero es que ya no es solamente el tener la idea y saber cómo desarrollarla, sino tener el tiempo para hacerlo y, lo más importante de todo, desde mi punto de vista, no estar solo en la tarea; ya no por dividir la carga de trabajo entre varios, proponiendo, realizando y revisando entre todos los contenidos, sino el hecho de sentirse respaldado en lo que puede parecer, a priori, una locura absoluta. Pues bien, ahora que ya soy personal docente estable, ¡llegó el momento de secuestrar compañeros y volverse locos!</p> <p><strong>Una idea</strong></p> <p>Como firme defensora de la escritura visigótica, me desilusionaba mucho que los <a href="http://www.litteravisigothica.com/resources/learning-palaeography">recursos existentes online para practicar paleografía</a>, incluso los centrados en contenido medieval, hiciesen caso omiso de este tipo de escritura. Por otro lado, soy muy quisquillosa con el aspecto gráfico de las cosas y, practicar transcripción, que ya es duro, en un entorno digital funcional pero aburrido (¡con excepciones!) me hace simpatizar con los estudiantes en su reticencia. Había (hay) mucho trabajo que hacer.</p> <p><strong>El año pasado empecé a desarrollar la idea del videojuego</strong> ya con la firme intención de llevarla a cabo porque realmente pensaba que los alumnos no solo necesitaban una herramienta de aprendizaje más dinámica, sino que la iban a agradecer. Desde el principio tuve claro que tenía que reunir un equipo de colaboradores interdisciplinar, porque la paleografía no lo es todo y no sirve de nada sin la historia y la filología (entre otras ciencias). Compañeros de la USAL se unieron: <a href="https://ataemhis.usal.es/portfolio-item/martin-viso-inaki/">Iñaki Martín Viso</a>, <a href="https://ataemhis.usal.es/portfolio-item/luis-corral-fernando/">Fernando Luis Corral</a>, <a href="https://dialnet.unirioja.es/servlet/autor?codigo=103778">Gregorio del Ser Quijano</a>, <a href="https://usal.academia.edu/Mar%C3%ADaAdelaidaAndr%C3%A9sSanz">Mª Adelaida Andrés Sanz</a>, <a href="https://usal.academia.edu/ValeroMorenoJuanMiguel">Juan Miguel Valero Moreno</a> y <a href="https://usal.academia.edu/DavidPaniagua">David Paniagua Aguilar</a>.</p> <p>Nuestra primera tarea fue determinar los<strong> objetivos prácticos del juego</strong> y, partiendo de éstos, <strong>cómo presentarlos al jugador</strong>. ¿De qué va el juego? Pues bien, Scribe of Ages (Littera en su versión beta), el juego, tiene como finalidad esencial introducir a los alumnos al trabajo directo con los <strong>alfabetos</strong>, <strong>sistema abreviativo</strong>, y <strong>textos</strong> de contexto peninsular de entre los <strong>siglos VI y XIII</strong>. Esto significa que tanto las escrituras uncial, semiuncial, carolina y gótica libraria, y no solamente la escritura visigótica, están representadas. Partiendo de esta base, necesitábamos hacer una selección de fuentes sobre las que trabajar cada aspecto. ¿Cómo? Tras darle muchas vueltas, decidimos seleccionar un códice representativo de cada uno de estos siglos, dejando para más adelante los diplomas. Había que empezar por algún sitio. Decidimos que, de cada ejemplo, añadiríamos una <strong>introducción explicativa</strong> de su contexto, añadiendo enlaces a libros, artículos, videos… cualquier recurso que sirviese para que el jugador entendiese qué estaba viendo más allá de aprender lo básico del trabajo con fuentes.</p> <p>Cuando teníamos algo que enseñar, sobre papel, fue fundamental el <strong>apoyo excepcional que recibimos por parte de los archivos</strong>: <a href="https://www.bnf.fr/fr">Bibliothèque nationale de France</a>, <a href="http://rbme.patrimonionacional.es/">Real Biblioteca del Monasterio de San Lorenzo de El Escorial</a>, <a href="https://digi.vatlib.it/">Biblioteca Apostólica Vaticana</a>, <a href="https://www.rah.es/">Real Academia de la Historia (Madrid)</a>, <a href="https://www.library.manchester.ac.uk/">University of Manchester (John Rylands Library)</a>, <a href="https://www.bl.uk/">The British Library</a> y <a href="http://www.bne.es/es/Inicio/index.html">Biblioteca Nacional de España</a> (Madrid). No solamente nos brindaron su ayuda (recursos gráficos) de forma gratuita, es más, recibieron la idea con entusiasmo.</p> <p>Teníamos los manuscritos, los textos contextuales, la idea de los minijuegos que formarían cada etapa de Littera, uno para practicar el alfabeto, otro para las abreviaturas, otro para la transcripción… Faltaba el equipo de <strong>desarrollo técnico</strong>.</p> <p>Scribe of Ages no habría sido posible, y no lo será en el futuro, sin la colaboración de <a href="http://andresdepedro.com/">Andrés de Pedro</a>, que desde el principio acogió la idea con una energía tremenda y que, gracias a su experiencia profesional, ha madurado mucho más allá de lo que era inicialmente. Con Andrés vino <a href="https://jorgeperal.tumblr.com/">Jorge Peral</a>, que supo plasmar el diseño que tenía en mente con una rapidez y perfección impresionantes. Y, cuando ya la cosa empezaba a tomar forma, se sumó otro componente fundamental del equipo, <a href="http://cristinaraurich.cat/">Cristina Alís</a>, que, desinteresadamente, ha proporcionado (y quiero decir ha grabado) toda la música ambiental de Scribe of Ages. Si los alumnos/jugadores están más de 3 horas seguidas jugando (sus propios comentarios) es por su excelente trabajo.</p> <p><strong>Primeros resultados</strong></p> <p>Cuando ya tuvimos una versión beta de Scribe of Ages, invité a los <strong>alumnos de paleografía</strong> del grado en historia de la USAL a que lo probasen y la experiencia ¡resultó ser todo un hito! Jugaron, superaron cada etapa, aprendieron, se picaron entre ellos, y completaron lo que para nosotros había sido el trabajo de meses en unos pocos días. Lo más importante, nos animaron a ampliarlo, desarrollarlo más, completarlo y, en fin, llevaron la idea inicial a la siguiente etapa. Por tener una segunda opinión, también se abrió Littera a un grupo selecto de <strong>beta testers</strong> externos a través de convocatoria en Twitter, que super rápidamente se vio sobrepasada con más de cien personas pidiendo jugar. Ambas experiencias han demostrado que este tipo de recursos resultan indispensables en nuestro marco docente. Todos los alumnos constataron una mejoría indiscutible en sus habilidades en el trabajo con fuentes. De hecho, la nota media del curso subió considerablemente. Y mejoraron jugando. En la cafetería, en casa, entre asignaturas, casi por casualidad.</p> <p>Algo fundamental que nos dejó la primera ronda de testeo es darnos cuenta de que estábamos equivocados en una cosa; no habíamos caído en algo. Enfocamos el juego a nuestros alumnos, pero nos encontramos con <strong>alumnos de otras materias</strong>, de física, psicología, medicina, con <strong>gente de fuera del ámbito universitario</strong>, que también disfrutaban jugando. Tuvimos que darle una vuelta, y en ello estamos; este próximo año,</p> <p><strong>Scribe of Ages será una historia gráfica completa, con su personaje principal y su archienemigo, en el que el jugador se verá envuelto en una búsqueda paleográfico-histórica a través de la edad media peninsular resolviendo puzles y, de paso, mejorando sus habilidades de transcripción… El año que viene.</strong></p> <p><strong>Beneficios para el docente</strong></p> <p>El hecho de desarrollar y usar Scribe of Ages en clase, me ha llevado a ponderar dos aspectos que, a simple vista, no había considerado con tanta profundidad previamente.</p> <p>En primer lugar, la <strong>metodología docente de cada uno de los profesores que enseñamos fuentes manuscritas, dejando a un lado por un momento la especialidad, es diferente</strong>. Para unos, lo fundamental es conseguir que los alumnos realicen una transcripción medianamente potable y, para ello, dedican toda su energía a practicar transcripciones incansablemente en las horas de clase. Para otros, como es mi caso, la intención última es que aprecien los manuscritos con una opinión lo suficientemente formada que les capacite para acercarse a su contexto, que entiendan qué es un sistema gráfico y qué implicaciones tiene dado un contexto histórico determinado. Desde mi punto de vista, hacer bien una transcripción no tiene mucho que ver, aunque, por supuesto, es deseable, con ser un buen paleógrafo.</p> <p>En segundo lugar, <strong>es tremendamente aburrido tener que ceñirse a un programa docente</strong>. Separar la docencia de la investigación es erróneo y cansino, y nuestra falta de entusiasmo en clase se transmite con muchísima facilidad. Los alumnos han de saber en qué estamos trabajando, qué se está haciendo en el campo y por qué. Me parece fundamental mostrarles que la ciencia paleográfica, fuera de ser algo rígido, es cambiante y evoluciona constantemente.</p> <p>En ambos sentidos, Scribe of Ages ha resultado una buena herramienta para reflexionar sobre nuestra labor y cómo mejorarla. Partiendo de las clases presenciales, los alumnos han podido centrarse en la escritura en sí y en su contexto, en la transcripción de un texto específico, o en ambos. Pudiendo incorporar material casi automáticamente a la plataforma, incluso artículos recientes podían referenciarse con explicaciones específicas a las que el docente puede dirigir a los alumnos. Aún estamos dando los primeros pasos, pero, sin duda, está mereciendo la pena.</p> <p>Por ahora, Scribe of Ages es accesible solamente a nuestros alumnos. Queremos aprender cómo mejorar antes de abrir el juego a todos. Esperamos que, próximamente, podamos compartirlo y, espero, porque sigo teniendo más ideas locas, hacerlo aún más grande.</p>
Dataset of "PEMFC performance decay during real-world automotive operation: evincing degradation mechanisms and heterogeneity of ageing"
<p>This is the underlying dataset of "PEMFC performance decay during real-world automotive operation: evincing degradation mechanisms and heterogeneity of ageing"</p>
Age-related proteostatic imbalance exacerbates heart failure with preserved ejection fraction pathogenesis in old mice
<p>Heart failure with preserved ejection fraction (HFpEF) is a leading cause of hospitalization and death in the elderly. While aging strongly increases the incidence of HFpEF, the specific influences of aging on HFpEF at molecular and pathophysiological levels remain unclear. Here, we show that aged mice, when subjected to chronic metabolic and hypertensive stress (2-hit stress), develop an aggravated cardiometabolic HFpEF phenotype compared to younger counterparts. Aged HFpEF mice also display unique pathological characteristics reminiscent of those found in HFpEF patients. We demonstrate that age-related dysfunction in protein quality control (PQC) exacerbates proteostatic stress in HFpEF. Specifically, we demonstrate that increased protein synthesis induced by 2-hit stress combines with age-related impairment in protein degradation in aged HFpEF hearts, culminating in the accumulation of protein aggregates. These findings underscore the importance of incorporating aging into preclinical HFpEF models and support the therapeutic potentials of targeting PQC mechanisms to ameliorate disease outcomes.</p> <p>The deposited data are lc-ms data acquired on the Thermo QEx-Plus system. For any questions, please contact mike kinter mike-kinter at omrf.org</p> <p>This upload contains the bulk of the LC-MS data. But, due to file sizes, and addition group of files can be found at doi 10.5281/zenodo.11094720</p>
Exploring the age dependent properties of M and L dwarfs using Gaia and SDSS: The Sample
<p>Sample from "Exploring the age dependent properties of M and L dwarfs using Gaia and SDSS". We present a sample of 74,216 M and L dwarfs constructed from two existing catalogs of cool dwarfs spectroscopically identified in the Sloan Digital Sky Survey (SDSS). We cross-matched the SDSS catalog with Gaia DR2 to obtain parallaxes and proper motions and modified the quality cuts suggested by the Gaia Collaboration to make them suitable for late-M and L dwarfs. </p>
pH sensor ageing experiment (SoDAN-dataset1)
<p>The data in this repository has been used to produce all results reported in [1]. It includes raw pH sensor potential measurements (in mV) recorded during exposure to nitrified urine and during sensor characterization tests.</p> <p>Modifications since v1.0.0:</p> <p>- Grouped data into zip files</p> <p>- Removed individual files</p> <p>References:<br> [1] https://engrxiv.org/mv6tz/</p>
Relate-estimated coalescence rates, allele ages, and selection p-values for the 1000 Genomes Project
<p><strong>Overview</strong></p> <p>Coalescence rates, allele ages, and p-values for evidence of positive selection calculated for 2478 samples of the 1000 Genomes Project using Relate.</p> <p>We estimated the joint genealogy of all 1000 GP populations and then extracted the embedded genealogy for each population.<br> For the genealogy of each population, we jointly estimated the population size history and branch lengths. <br> Variants segregating in more than one population therefore have correlated but different allele ages in each population.</p> <p>Please refer to <a href="https://www.nature.com/articles/s41588-019-0484-x">Speidel et al. Nature Genetics (2019)</a> for more details or email leo.speidel@outlook.com for any queries.</p> <p><strong>Coalescence rates</strong></p> <p>The zipped directory coalescence_rates.zip contains coalescence rates for 26 populations in the 1000 Genomes Project data set.</p> <ul> <li>The .coal files show the haploid coalescence rates, please refer to the <a href="https://myersgroup.github.io/relate/modules.html#PopulationSizeScript_FileFormats">Relate documentation</a> for the file format.</li> <li>The popsize.RData file is an R data frame storing the diploid population sizes (0.5/coalescence rate) calculated using the .coal files. The columns of this data frame, named "pop_size", are <ul> <li>gens_ago: Time in generations at which epoch starts. (To get years from generations, we multiply by 28.)</li> <li>population_size: Diploid population size in this epoch.</li> <li>population: Name of population </li> <li>region: Name of region (AFR, AMR, EAS, EUR, SAS)</li> </ul> </li> </ul> <p><strong>Allele ages and selection p-values</strong></p> <p>The zipped directories allele_ages_*.zip contain R data frames for each 1000GP population storing allele ages and selection p-values.<br> Please note that only mutations that segregate in the population and map to a unique branch in the Relate-estimated marginal trees are included. Selection p-values are only provided for mutations of DAF > 2 that pass quality filters (see Speidel et al., 2019). </p> <p>To get an age estimate for a neutral mutation, use 0.5*(lower_age + upper_age). To get years from generations, we multiply by 28.</p> <p>The columns of these data frames, named "allele_ages", are</p> <ul> <li>CHR: chromosome index</li> <li>BP: base-pair position (GRCh37)</li> <li>ID: id of SNP</li> <li>lower_age: Age in generations of coalescence event at the lower end of the branch onto which the mutation maps</li> <li>upper_age: Age in generations of coalescence event at the upper end of the branch onto which the mutation maps</li> <li>ancestral/derived: Ancestral/derived allele</li> <li>upstream: Upstream (5') allele</li> <li>downstream: Downstream (3') allele</li> <li>DAF: Derived-allele frequency</li> <li>pvalue: log10 p-value for selection evidence</li> </ul>
Multi-study reanalysis of 2213 acute myeloid leukemia patients reveals age- and sex-dependent gene expression signatures
<p>Supplemental Information, Supplementary Tables, and Supplementary Files, as well as accompanying data for the manuscript "Stratified computational meta-analysis of 2213 acute myeloid leukemia patients reveals age- and sex-dependent gene expression signatures" by Raeuf Roushangar and George I. Mias. </p>
Data archive associated with "Landscape age as a major control on the geography of soil weathering" (https://doi.org/10.1029/2019GB006266)
<p>(1) Table including parameter values and weathering model outputs associated with NASGLP sampling locations (SLP_data.csv). </p> <p>(2) List of rivers used for calibrating erosion estimates (river_list.csv).</p> <p>(3) R workspace with same data as (1), plus a data frame of global parameter values ("gm") and spatial polygons giving continent boundaries ("con").</p> <p>(4) Scripts with functions for running the single-compartment weathering model at individual point locations or running a global sample of locations and computing summary statistics by continent (run_soilgenesis.R; soilgenesis.R). </p>
MOOD_2020_Worldpop_HumanPopulation_Age_Gender
<p>Worldpop Human 2020 population by Age and Gender. </p> <p><strong>Abstract:</strong></p> <p>Human population estimates per pixel were extracted from MOOD partner Worldpop (www.worldpop.org) datasets for the MOOD extent. Gender age categories were summed to provide datasets for all males, all females, and the total population. </p> <p> </p> <p><strong>File naming scheme:</strong> </p> <p>Filenames are as follows (MOWPGGGRRYY-OOCog.TIF where GGG =-gender (male = MAL, female = FEM), both = TOT); RR = Greater than (gt) or Less than (lt); YY = mimimum age; OO= Maximum age</p> <p><br><strong>Projection + EPSG code:</strong><br>Latitude-Longitude/WGS84 (EPSG: 4326)<br><strong>Spatial extent:</strong><br>Extent -32.0000000000000000,10.0000000000000000 : 68.9999995960000092,81.9999997120000046</p> <p><strong>Spatial resolution:</strong><br>0.0083333 deg (approx. 1000 m) </p> <p><strong>Temporal resolution:</strong><br> The year 2020</p> <p><strong>Pixel values:</strong><br>Human population estimates per pixel </p> <p><strong>Source: </strong><br>Worldpop (www.worldpop.org) datasets</p> <p><br><strong>Software used:</strong><br>The software used for map production is ESRI ArcMap 10.8</p> <p><br><strong>License: </strong>CC-BY-SA 4.0</p> <p><br><strong>Processed by:</strong><br>ERGO (Environmental Research Group Oxford) https://ergoonline.co.uk/ for the H2020 MOOD project</p>
Data and Code for: 'Stellar Models are Reliable at Low Metallicity: An Asteroseismic Age for the Ancient Very Metal-Poor Star KIC 8144907', Huber et al. 2024.
<p>Data and code to reproduce plots for the paper '<em>Stellar Models are Reliable at Low Metallicity: An Asteroseismic Age for the Ancient Very Metal-Poor Star KIC 8144907'</em>, Huber et al. 2024.</p> <p>Descriptions of the enclosed data files are as follows:</p> <div> <ul> <li>Freqs_best_fit.dat: Best-fitting GARSTEC model frequencies (Figure 3, right)</li> <li>KIC10006158_spec.txt: Reduced and normalized HDS spectrum of KIC10006158 (Figure 1)</li> <li>KIC8144907_ps.txt: Power spectrum of the Kepler light curve of KIC8144907 (Figure 3, left)</li> <li>KIC8144907_spec.txt: Reduced and normalized HDS spectrum of KIC8144907 (Figure 1)</li> <li>apokasc2.tsv: APOKASC sample from Pinsonneault+ 2014 (Figure 2)</li> <li>dwarfs.csv: Asteroseismic sample from Serenelli+ 2017 (Figure 2) </li> <li>freqs.csv: Data in Table 1</li> <li>hosts.tsv: Asteroseismic ages from Silva Aguirre+ 2015 (Figure 4) </li> <li>legacy-t1.tsv: Asteroseismic ages from Silva Aguirre+ 2017 (Figure 4) </li> <li>legacy-t2.tsv: Asteroseismic ages from Silva Aguirre+ 2017 (Figure 4) </li> <li>li-2020.csv: Asteroseismic ages from Li+ 2020 (Figure 4) </li> <li>matsuno.txt: Asteroseismic sample from Matsuno+ 2021 (Figure 2) </li> </ul> </div>
Supplementary Data: Fungal biostarter and bacterial occurrence of dry-aged beef: the sensory quality and volatile aroma compounds after 21 days of aging
<p>This dataset contains data generated during realisation of the project Tango-IV-C/0005/2019: Biostarters development for dry aged beef production, funded by National Centre for Research and Development (Poland). These data were used to prepare paper entitled "Fungal biostarter and bacterial occurrence of dry-aged beef: the sensory quality and volatile aroma compounds after 21 days of aging" by Wiesław Przybylski , Danuta Jaworska, Paweł Kresa, Grzegorz Michał Ostrowski, Magdalena Płecha, Dorota Korsak, Dorota Derewiaka, Lech Adamczak, Urszula Siekierko, Julia Pawłowska.</p>
Morphological and physical chemical characterization of main agricultural plastics articles used for protected cultivation systems during ageing in fields, and collection practices
<p>This dataset includes data generated upon the implementation of the ST 1.2.1 "Analysis of degradation and fragmentation of AP and transfer of MNP to soil". The activities dealt with the study of degradation and fragmentation from weathering and agricultural practices of conventional and biodegradable AP relevant for transfer of MNP to soil (during both use and end of life). In particular, the experimental data refer to characterization of biodegradable mulch films, pristine (coded M-BIO0) or subjected to photo-oxidative weathering (M-BIO192), as well as the same samples buried in soil for varying time periods, up to 353 days. The folders included contain gel permeation chromatography (GPC) and Matrix-assisted Laser Desorption Ionization (MALDI-TOF) data, which account for the change in film molecular weight upon soil burial. Furthermore, Differential Scanning Calorimetry (DSC) data and Scanning Electron Microscopy (SEM) and Water Contact Angle (WCA) images of some selected samples are also provided. The folder named MS RAW FILES.zip includes all the mass spectrometry raw data.</p>
Paleoclimate signals and groundwater age distributions from 39 public water works in the Netherlands; insights from noble gases and carbon, hydrogen and oxygen isotope tracers [Data set].
<p>Data set covering the meta data of the 39 well fields, the macro chemistry data and the data of the noble gases and carbon, hydrogen and oxygen isotope tracers used for assessing the paleoclimate signals and age distributions in the publication in Water Resources Research (2021)</p> <p><strong>Paleoclimate signals and groundwater age distributions from 39 public water works in the Netherlands; insights from noble gases and carbon, hydrogen and oxygen isotope tracers</strong></p> <p>Hans Peter Broers, Jürgen Sültenfuß<sup> </sup>, Werner Aeschbach, Arne Kersting,, Armin Menkovich, Jasperien de Weert and Jeroen Castelijns</p>
PhasAGE Expert Seminar- Inhibition of age-associated genomic instability: emerging strategy to delay cellular senescence and aging
<p>The PhasAGE <strong>Expert Seminars </strong>consist of a series of talks with speakers from PhasAGE partner’s institutions to promote a successful transfer of knowledge about PhasAGE topics – biomolecular phase separation, aging and age-related diseases.</p>
Data on the sex and age composition of Bramblings Fringilla montifringilla during autumn migration and winter in Europe
<p><strong>Abstract</strong></p> <p>Bramblings <em>Fringilla montifringilla</em> are known to vary in winter distribution according to sex and age (differential migration). This pattern is complicated by the large yearly fluctuation in their preferred winter food, beech seeds. In beechmast areas, large concentrations of Bramblings occur, and their sex and age composition differs from that of winters without a beechmast. Here we present data on the sex and age composition of Bramblings during autumn migration and winters with and without beechmast, mainly from Switzerland, supplemented with data from northern and southern Europe.</p> <p> </p> <p><strong>Literature cited in the Excel-file</strong></p> <p>Arizaga J, Zuberogoitia I, Zabala J, Crespo A, Iraeta A, Belamendia G (2012) Seasonal patterns of age and sex ratios, morphology and body mass of Bramblings <em>Fringilla montifringilla </em>at a large winter roost in southern Europe. Ring. Migr. 27:1–6. https://doi.org/10.1080/03078698.2012.686707</p> <p>Browne SJ, Mead CJ (2003) Age and sex composition, biometrics, site fidelity and origin of Brambling <em>Fringilla montifringilla </em>wintering in Norfolk, England. Ring. Migr. 21:145–153. https://doi.org/10.1080/03078698.2003.9674283</p> <p>Khil L, Samwald O, Tiefenbach A, Tiefenbach M, Pacher H (2011) Der Massenschlafplatz von Bergfinken <em>Fringilla montifringilla </em>in Österreich im Winter 2008/2009. Limicola 25:81–100</p> <p>Kjellén N, Lindström Å (1993) Bergfinkens övervintringsstrategier samt några iakttagelser från en skånsk sovplats i januari-februari 1993. Anser 32:187–199</p> <p>Robson D (1996) Influencia de la temperatura en la masa corporal del Pinzon Real. Ardeola 43:139–144</p> <p>Schierer A (1957) Geschlechts- und Altersverhältnis der Nordfinken. Vögel Heimat 27:68</p> <p>Widemo U (1977) Bergfink <em>Fringilla montifringilla </em>Jan. - Apr. 1977. Sex and age distribution, winglength and change of weight. Fåglar i Sörmland 10:76–81</p>
Setting files from: Spatially explicit paleogenomic simulations support cohabitation with limited admixture between Bronze Age Central European populations.
<p><strong>Simulated Data and Custom Scripts</strong></p> <p>This dataset release permits to simulate the expansion of populations from the Pontic Steppes to Central Europe with the version of SPLATCHE3 which is included. There are 2 main zipped folders: i) the one called "SPLATCHE3executableAndSettings" contains a "ReadMe.txt" file that contains all required information to make the simulations: the resulting ".prop" file contains proportions of genomic ancestry of the P2 layer, ancestry from P1 layer is equal to 1-(proportion from P2) ; ii) the other one called "HowToMakeFigure2" contains the R script and the tables necessary to reproduce Figure 2. See Rio J, Quilodrán CS & Currat M., Communications Biology (2021), for background.</p> <p><strong>Acknowledgments</strong></p> <p>This project was financially supported by the Swiss National Research Foundation grants n° 31003A_182577 to MC and n° P400PB_183930 to CQ, as well as the IGE3 Student Salary Award to JR.</p>
Dataset: Insular cortex dopamine 1 and 2 receptors in methamphetamine conditioned place preference and aversion: Age and sex differences
<p>Dataset for Insular cortex dopamine 1 and 2 receptors in methamphetamine conditioned place preference and aversion: Age and sex differences</p>
Age-dependent extreme event exposure - data accompanying journal publication
<p>This data set contains the essential files used as input for the analysis, intermediate files produced during the analysis, and the key output fields. The code of the analysis is available here: https://github.com/VUB-HYDR/2021_Thiery_etal_Science</p> <p> </p> <p>Input fields:</p> <p>- <a href="https://zenodo.org/api/files/9b674428-38e0-4395-a1c0-61b23e9ce3dc/isimip.zip">isimip.zip</a>: Postprocessed ISIMIP2b simulation output. This data set is very similar to the data presented in Lange et al. (2020 Earth's Future) but includes selected additional impact models and scenarios (notably RCP8.5). This data set also includes the gridded population data.</p> <p>- <a href="https://zenodo.org/api/files/9b674428-38e0-4395-a1c0-61b23e9ce3dc/GMT_50pc_manualoutput_4pathways.xlsx">GMT_50pc_manualoutput_4pathways.xlsx</a>: Global mean temperature anomaly trajectories from the IPCC SR15</p> <p>- <a href="https://zenodo.org/api/files/9b674428-38e0-4395-a1c0-61b23e9ce3dc/wcde_data.xlsx">wcde_data.xlsx</a>: postprocessed cohort size data originally obtained from the Wittgenstein Centre Human Capital Data Explorer.</p> <p>- <a href="https://zenodo.org/api/files/9b674428-38e0-4395-a1c0-61b23e9ce3dc/WPP2019_MORT_F16_1_LIFE_EXPECTANCY_BY_AGE_BOTH_SEXES.xlsx">WPP2019_MORT_F16_1_LIFE_EXPECTANCY_BY_AGE_BOTH_SEXES.xlsx</a>: Postprocessed life expectancy data originally obtained from the UNited Nations World Population Programme</p> <p> </p> <p>Intermediate files *only use if you're interested in reproducing the results*:</p> <p>- <a href="https://zenodo.org/api/files/9b674428-38e0-4395-a1c0-61b23e9ce3dc/workspaces.zip">workspaces.zip</a>: Postprocessed ISIMIP2b simulation output. These matlab workspaces contain data on land area annually exposed to extreme events which is stored in a format designed to speed up the analysis.</p> <p>- <a href="https://zenodo.org/api/files/9b674428-38e0-4395-a1c0-61b23e9ce3dc/mw_isimip.mat">mw_isimip.mat</a>: ISIMIP2 simulations metadata (e.g. model, gcm and rcp name per simulation)</p> <p>- <a href="https://zenodo.org/api/files/9b674428-38e0-4395-a1c0-61b23e9ce3dc/mw_countries.mat">mw_countries.mat</a>: information on the countries used in the analysis (e.g. border polygon coordinates)</p> <p>- <a href="https://zenodo.org/api/files/9b674428-38e0-4395-a1c0-61b23e9ce3dc/mw_exposure.mat">mw_exposure.mat</a>: age-dependent exposure computed from the ISIMIP and population data</p> <p>- <a href="https://zenodo.org/api/files/9b674428-38e0-4395-a1c0-61b23e9ce3dc/mw_exposure_pic.mat">mw_exposure_pic.mat</a>: pre-industrial control age-dependent exposure computed from the ISIMIP and population data</p> <p>- <a href="https://zenodo.org/api/files/9b674428-38e0-4395-a1c0-61b23e9ce3dc/mw_exposure_pic_coldwaves.mat">mw_exposure_pic_coldwaves.mat</a>: pre-industrial control age-dependent exposure to coldwaves computed from the ISIMIP and population data</p> <p> </p> <p> </p> <p>Output of the analysis:</p> <p>- <a href="https://zenodo.org/api/files/9b674428-38e0-4395-a1c0-61b23e9ce3dc/mw_output.mat">mw_output.mat</a>: Matlab workspace containing all variables produced during the analysis presented in thepaper. Use this file if you wish to look up certain numbers or want to use the study results for further analysis.</p> <p> </p> <p> </p>
Gene Regulatory Network inference in long lived C.elegans reveals modular properties that are predictive of novel ageing genes - Supplementary Tables
<p>This repository contains the Supplementary Tables for Suriyalaksh et al. Gene Regulatory Network inference in long lived C.elegans reveals modular properties that are predictive of novel ageing genes.</p> <p>The list of table files can be found in <a href="https://zenodo.org/api/files/431155b3-c2b2-4fff-92bb-e93cad8bf5c2/Supplementary%20table%20guide.pdf">Supplementary Tables guide.pdf</a></p> <p>Tables S1, S2 and S3 corresponding to physical gene-gene interaction data are in a separate repository doi:10.5281/zenodo.4382337</p> <p>Details about some of the Supplementary tables:</p> <p>TableS4_inferred_networks.csv - list of inferred GRNs for specified input combinations (set of input regulators, length of the time sequence, NI tool and prior used).</p> <p><a href="https://zenodo.org/api/files/431155b3-c2b2-4fff-92bb-e93cad8bf5c2/TableS5_consensus_network_member.xlsx">TableS5_consensus_network_member.xlsx</a> - list of groups of topologically similar GRNs (from Table S4)</p> <p>Table S6: edge lists (source,target) for each one of the three consensus networks selected according to the GS validation metrics: middle PFE/AUFE, max AUFE, max PFE.<br> TableS6a_max_AUFE_GRN.txt - max AUFE; largest network - this is the one we used in the main analysis and discussion<br> TableS6b_max_PFE_GRN.xt - max PFE<br> TableS6c_middle_AUFE_PFE_GRN.txt - middle PFE/AUFE</p> <p><a href="https://zenodo.org/api/files/431155b3-c2b2-4fff-92bb-e93cad8bf5c2/TableS7_qRTPCR_ddCt_network_accuracy.csv">TableS7_qRTPCR_ddCt_network_accuracy.csv</a> - gene expression count differences for RNAi knockdown GRN validation experiments. </p> <p>Table S8: Group membership for each one of the nodes in each one of the selected networks according to the SBM that best describes the observed network topology. Each column shows the group membership for each level in a SBM block hierarchy. Our analysis is in the second most coarse-grained level (level 1).</p> <p>TableS8a_max_AUFE_SBM.csv<br> TableS8b_max_PFE_SBM.csv<br> TableS8c_middle_AUFE_PFE_SBM.csv</p> <p><a href="https://zenodo.org/api/files/431155b3-c2b2-4fff-92bb-e93cad8bf5c2/TableS9_glp_gs_datasets.pdf">TableS9_glp_gs_datasets.pdf</a> - list of datasets used for defining functional clusters.</p> <p>TableS14a_glp_l1_vs_fem_l1_lifespan_assay.xlsx - Day13 survival of fem-3(q20)ts vs day 19 survival of glp-1(e2144)ts;rrf-3(pk1426) RNAi from L1</p> <p>TableS14b_glp_l1_vs_glp_l4_lifespan_assay.xlsx - Day 19 survival of glp-1(e2144)ts;rrf-3(pk1426) RNAi from L4 vs day 19 survival of glp-1(e2144)ts;rrf-3(pk1426) RNAi from L1</p> <p>TableS15a_glp1_in_vivo_fluorescence_data.xlsx - in vivo fluorescent reporter data of glp-1(e2144)ts;rrf-3(pk1426)</p> <p>TableS15b_fem3_in_vivo_fluorescence_data.xlsx - in vivo fluorescent reporter data of fem-3(q20)ts</p> <p>TableS17_input_regulators_annotated.csv - list input regulators used as input for Network Inference Tools annotated by source type (2nd column): GenAge, known transcription factors (TF) and gene with high variability in the gene expression time series (HV). The third column lists whether that regulator has an orthologue in human (y) according to WormBase (v 278).</p> <p>TableS20_epistasis_lifespan_data.xlsx - Epistasis lifespan data of glp-1(e2144)ts</p> <p>All the image (TIF) files represent representative images in the following genetic backgrounds (below) that have been treated </p> <p>with empty vector (EV) or RNAi against the gene highlighted in the title of the image. See methods section for details. </p> <p><strong>femliu1: </strong></p> <p><em>fem-3(q20)ts.; dhs-3p::dhs-3::gfp</em></p> <p><strong>femsod3:</strong></p> <p><em>fem-3(q20)ts.; sod-3p::gfp</em></p> <p><strong>glp1lgg1:</strong></p> <p><em>glp-1(e2144); lgg-1p:lgg-1:gfp</em></p>
ScienceDex guides
Understand access before you commit
These curated guides explain access requirements, typical timelines, costs, and reuse considerations for widely used research datasets.
Allen Brain Atlas
Allen Brain Atlas is an Allen Institute collection of brain map atlases, datasets, APIs, and analysis tools covering mouse, human, and non-human primate brain resources.
Annotated Behaviour and Observability Dataset (ABODe)
ABODe is a University of Edinburgh DataShare dataset for behavior classification in group-housed mice using home-cage video, identities, bounding boxes, ground-plate positions, and annotator labels.
DANDI Archive for NWB datasets
DANDI is a BRAIN Initiative archive for publishing and sharing neurophysiology data, including electrophysiology, optophysiology, and behavioral data packaged as NWB and related standards.
International Brain Laboratory public data
The International Brain Laboratory public data releases expose standardized mouse decision-making experiments, including Neuropixels recordings, widefield calcium imaging, behavior, and session metadata accessed through the ONE API.
OpenNeuro
OpenNeuro is a free, open platform for sharing neuroimaging datasets, with public search, dataset pages, and download paths for web, S3, DataLad, and the OpenNeuro CLI.