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Tree Ring Data from the Harvard Forest EMS Tower 1896-2014
Is it possible to reconstruct aboveground carbon/biomass from tree rings? If so, how far back in time can researchers go when using tree-ring data in the reconstruction of past biomass? Answers to these questions will have a significant impact on our understanding of dynamics in the terrestrial carbon sink. Long tree-ring records of biomass can reveal intra-annual to annual to multidecadal variations that cannot be resolved by forest census data that is not conducted annually. Additionally, while these dynamics might be resolved using remote sensing, most remotely-sensed products are only two decades or less in length. By having long records of carbon biomass, we can then identify not only the dominant drivers of biomass, but how the importance of these drivers might change during different eras as environmental factors change (e.g., climate, air pollution, disturbance). To test these and other questions, we collected tree-ring records from two 20m radius plots set within the footprint of the EMS tower plot at the Harvard Forest installed and continuously operated since 1989. We can convert these data to biomass using allometric equations and compare tree-ring inferred aboveground biomass to the census data going back in time. Dye et al. (2016) have shown that these data fall within the range of uncertainty of census data sampled in the Harvard Forest Lyford plot going back to 1969. Dye, A., Barker Plotkin, A., Bishop, D., Pederson, N., Poulter, B., Hessl, A. 2016. Comparing tree-ring and permanent plot estimates of aboveground net primary production in three eastern U.S. forests. Ecosphere 7: e01454.
Radiation Measurements at Harvard Forest EMS Tower 1991-2007
Measurements of radiation and soil heat flux at the EMS tower on the Prospect Hill Tract, Harvard Forest, Petersham, Massachusetts. Values are hourly averages.
Hydrocarbon Concentrations at Harvard Forest EMS Tower 1992-2001
Hydrocarbons are products of incomplete combustion and also emitted by vegetation. Hydrocarbons are important precursors for photochemical ozone formation. A system to quantify concentrations of several low-molecular weight hydrocarbons was installed at the EMS tower in the summer of 1992. The measurements were intended to help resolve questions about the potential reactivity in rural New England atmosphere and identify and quantify biogenic hydrocarbon emissions.
PhenoCam Images and Canopy Phenology at the Harvard Forest EMS Tower since 2008
The PhenoCam Network uses imagery from digital cameras to track vegetation phenology and seasonal changes in vegetation activity in diverse ecosystems across North America and around the world. Imagery is uploaded to the PhenoCam server at the University of New Hampshire, where it is made publicly available in near-real time, every 30 minutes from sunrise to sunset, 365 days a year. The data are processed using simple image analysis tools to yield a measure of canopy greenness, from which phenological metrics are extracted, characterizing the start and end of the growing season. These transition dates have been shown to align well with on-the-ground observations of tree phenology at Harvard Forest (HF003). Long-term PhenoCam data can be used to track the impact of climate variability and change on the rhythm of the seasons. This dataset contains one mid-day image for each camera. Please see the PhenoCam Network website (http://phenocam.sr.unh.edu) for more information and additional images.
Microclimate at Harvard Forest HEM, LPH and EMS Towers since 2005
Microclimatic data are collected continuously within footprint areas of the flux towers in order to (1) understand relationships between climatic and microclimatic conditions and carbon dioxide and water vapor exchange between forest and atmosphere, (2) to develop predictive models for the exchange rates of these gases, based on microclimate data, (3) detect long-term trends in climate and microclimate at the sites and (4) determine whether the response of carbon dioxide and water vapor exchange processes to climate or microclimate is changing over time. The primary climatic and microclimatic variables measured at these sites include: above-canopy photosynthetically active radiation (PAR), forest understory PAR at 1 m height, total net radiation exchange measured above the forest canopy, air temperature and relative humidity above the forest canopy, forest understory air temperature at 20 cm and 1 m above ground level (shielded but not ventilated thermocouple sensors, used only to estimate nighttime understory air temperature), soil temperature at 10 cm depth, and soil moisture.
Isotopic Composition of Net Ecosystem CO2 Exchange at Harvard Forest EMS Tower since 2011
This archive features long-term measurements of the eddy and storage fluxes of 16O12C16O, 16O13C16O, and 18O12C16O at the Harvard Forest EMS flux tower. Provided are the individual isotopologue fluxes, the total CO2 flux, the δ13C and δ18O isofluxes, and various ancillary flux and environmental data. The data are described in Wehr et al (2013), Long-term eddy covariance measurements of the isotopic composition of the ecosystem–atmosphere exchange of CO2 in a temperate forest, Agricultural and Forest Meteorology 181, 69–84. They are also analyzed in Wehr and Saleska (2015), An improved isotopic method for partitioning net ecosystem–atmosphere CO2 exchange, Agricultural and Forest Meteorology 214-215, 515–531, as well as in Wehr et al 2016, Seasonality of Temperate Forest Photosynthesis and Daytime Respiration, Nature (in press). The eddy (iso)fluxes were measured by eddy covariance (EC), with a 30- or 35-minute integration period on a 40- or 45-minute duty cycle (the precise duty cycle was changed during the record to accommodate various synergistic measurement campaigns). The storage fluxes were measured as the increase in storage below 29 m during the EC integration period, based on vertical integrations over 7 air sampling heights on the tower (0.2, 1.0, 7.5, 12.7, 18.1, 24.1, 29.0 m, prior to July 3, 2012), or over 6 air sampling heights on the tower (0.2, 1.0, 7.5, 12.7, 18.1, 29.0 m, after July 3, 2012). Some periods are missing at regular intervals because the system was being used for other measurements, not reported here. Corrected and uncorrected versions of the eddy (iso)fluxes are provided; the corrections account for high-frequency signal attenuation, and were made by comparing w-CO2 and w-T cospectra. The precise method is novel and complex and is described, along with all further details of the measurements, in Wehr et al (2013), Long-term eddy covariance measurements of the isotopic composition of the ecosystem–atmosphere exchange of CO2 in a temperat
Fluxes of Molecular Hydrogen (H2) at Harvard Forest EMS Tower 2010-2012
Molecular hydrogen (H2) is an atmospheric trace gas with a large microbe-mediated soil sink, yet cycling of this compound throughout ecosystems is poorly understood. Measurements of the sources and sinks of H2 in various ecosystems are sparse, resulting in large uncertainties in the global H2 budget. Constraining the H2 cycle is critical to understanding its role in atmospheric chemistry and climate. We measured H2 fluxes at high frequency in a temperate mixed deciduous forest for 15 months using a tower-based flux-gradient approach to determine both the soil-atmosphere and the net ecosystem flux of H2. The data presented here along with other data available at Harvard Forest can be used for efforts to model the H2 soil sink.
Canopy-Atmosphere Exchange of Carbon, Water and Energy at Harvard Forest EMS Tower since 1991
The tower-based CO2 measurements and key meteorological drivers are intended to examine how regional and ecosystem level processes in a mid-latitude forest contribute to global carbon cycling. Specifically, we endeavor to understand quantitatively how and why forested ecosystems take up or release carbon, on time scales from hours to decades, and to elucidate responses to climate changes and management interventions. The tower was installed 1989 and the resulting eddy-flux measurements constitute the longest running record of the net-ecosystem carbon exchange in a North American Forest. The resulting long-term record of Net Ecosystem Exchange (NEE) has shown the effects of climate anomalies on carbon fluxes for seasonal and annual time scales. For example, reduced soil frost allows greater respiration in the winter leading to lower C sequestration. Cumulative gross photosynthesis depends on when the canopy emerges in the spring. Warmer springtime temperatures lead to greater uptake of C. As the NEE record is extended and augmented by supporting ecological measurements, we can further identify longer-term effects of climate perturbations on carbon fluxes and further define the relationship between stand history and carbon sequestration. Climatic anomalies in one season or year may have a longer-term effect on the sequestration of carbon in subsequent seasons or years. The flux and ecological measurements are coordinated with studies at other sites through the AmeriFlux network. By examining the relationships between carbon fluxes and the driving physical and biological variables across a range of sites we are enhancing understanding of the processes that control NEE.
Concentrations and Surface Exchange of Air Pollutants at Harvard Forest EMS Tower since 1990
In North America, anthropogenic activities such as fossil fuel combustion and high-intensity agriculture have increased the inputs of nitrogen oxides in the atmosphere far above natural, biogenic inputs. The effect of this excess N depends on how it is distributed through the environment. If fixed N is deposited as nitrate in forests, it may act as a "fertilizer", stimulating growth and thus enhancing carbon sequestration. But when accumulated deposition exceeds the nutritional needs of the ecosystem, nitrogen saturation may result. Soil fertility declines due to leaching of cations and thus, carbon uptake diminishes. The balance between fertilization and saturation depends on the spatial and temporal extent of nitrogen deposition. Measurements of nitrogen oxide concentrations and fluxes made at Harvard Forest are intended to quantify the deposition of nitrogen oxides and to examine the rates for oxidation and deposition of reactive nitrogen that are critical in controlling how far the influence of nitrogen oxide emission sources extends. Measurements made to date indicate that dry deposition of NOy to the Harvard Forest canopy is controlled by advection from source regions, vertical mixing, and chemical reaction. The input is about equally divided between wet and dry deposition depending on the amount of precipitation. Southwesterly winds bring air from the major urban areas along the mid-Atlantic coast, whereas northwesterly wind bring air from less populated regions of northern New England and Canada. As a result, southwesterly winds transport higher concentrations and fluxes of NOx and NOy than northwesterly winds. In the summer, aerodynamically rough forests intercept NOx and emit reactive hydrocarbons that accelerate the oxidation of NOx to rapidly depositing species. As a result, much of the NOx emitted by North America is retained by the region in the summer. This deposition leads to a summertime decrease in reactive nitrogen concentrations and fluxes relati
CFCs and Radiatively Important Trace Species at Harvard Forest EMS Tower 1996-2005
Measurements of 13 ozone-depleting and/or greenhouse gases are taken above the forest canopy at Harvard Forest, downwind of the New York City - Washington, D. C. corridor, every 25 minutes using a four-channel gas chromatographic system called FACTS (Forest and Atmosphere Chromatograph of Trace Species). The species measured are H2, CO, CH4, methyl chloroform (CH3CCl3), chloroform (CHCl3), carbon tetrachloride (CCl4), CFC-11 (CCl3F), CFC-12 (CCl2F2), CFC-113 (C2Cl3F3), halon-1211 (CBrClF2), perchlorethylene (C2Cl4), nitrous oxide (N2O), and sulfur hexafluoride (SF6). Observations began in January 1996 and are continuing.
Soil Respiration Along a Hydrological Gradient at Harvard Forest EMS Tower 2003-2006
Soil respiration is an important component of the terrestrial carbon budget. Spatial variation of organic matter and plant cover induce temperature and moisture gradations that obscure direct response of soil respiration to radiative forcing. Separation of spatial patterns from microclimate and substrate availability is vital to predict the response to global change. We are measuring temporal and spatial patterns of soil CO2 flux across a hydrological gradient from wetland to upland soils. A system of 8 automated opaque chambers were installed in 2003 along a hydrological gradient on the northeast margin of the "Beaver Swamp" north of the EMS tower (+42.537755,-72.171478). Two additional clear chambers were installed in the wetland in 2006. Each automated chamber closes for a measurement every four hours. The resulting semi-continuous data has been providing a high-temporal density characterization of soil flux during the growing season since 2003. Soil temperature and moisture were recorded in the litter, organic, and mineral soils during 2004 at three locations along the slope. These structures will provide a database of soil respiration flux, temperature, and soil moisture with both high spatial and temporal resolution, across multiple cover types and ground water levels. The analysis will seek to determine the appropriate spatial scale of soil respiration measurement in eastern hardwood forests.
Biomass Inventories at Harvard Forest EMS Tower since 1993
In 1993, we installed 40 circular, 10 m radius biometric plots in the footprint of the EMS tower on Prospect Hill. We randomly placed the plots within 100 m increments along ten 500 m transects that extend from the tower in the northwest and southwest directions. In 2001, we removed three plots (G3, H3, H4) from the datasets and ceased measurements there due to their inundation by a beaver pond. In 1999, we installed 6 additional circular, 10 m radius biometric plots on the Simes Lot, adjacent to Prospect Hill to study the effects of a selective harvest that occurred there in the winter of 2000-01. In the summer of 2001, we expanded the harvested plots in size to 15 m radius and ceased measurements at one plot (X4) because it was unaffected by the harvest. The harvest also affected three of the original tower plots (A4, A5, B5), which were expanded in size as a part of the harvest plot group. Consequently, there are 34 tower plots and 8 harvest plots. We have taken the following ecological measurements at each site: tree growth, woody debris, litter, leaf area increment (LAI), leaf chemistry, and soil respiration and moisture.
Fluxes of Carbonyl Sulfide at Harvard Forest EMS Tower 2010-2013
Carbonyl sulfide (OCS), the most abundant sulfur compound in the atmosphere, controls the sulfur budget and aerosol loading of the stratosphere in times of low volcanic activity. OCS is also closely tied to the vegetative carbon cycle and may provide an independent measure of the photosynthetic uptake of carbon. However, the detailed nature of the biogeochemical cycling of OCS throughout the seasons in terrestrial ecosystems has not been thoroughly explored. We measured the seasonal response of the ecosystem flux of OCS above a deciduous temperate forest using an infrared laser absorption spectrometer at Harvard Forest (MA, USA) in 2011. Fluxes were calculated using two complementary approaches: gradient – flux (also known as flux – gradient; January – July, 2011) and eddy covariance flux (August – December, 2011), which agreed within the combined error for a period with both measurements. Strong uptake of OCS by the forest was observed during most of the growing season, but significant uptake also occurred when the deciduous leaves were not present. A strong diel cycle of mid-day OCS uptake was observed in May/June and August/September, consistent with OCS uptake by processes parallel to CO2 photosynthetic uptake, at the ecosystem scale, for these months. The results show that while overall OCS and CO2 both show evidence of vegetative uptake, the OCS flux cannot be explained by this process alone and the relationship between OCS and CO2 changes throughout the year above this mixed deciduous forest. The data imply that terrestrial uptake of OCS, and hence the stratospheric sulfur cycle, are potentially quite sensitive to extremes in temperature and soil moisture.
Atmospheric Oxygen and Carbon Dioxide at Harvard Forest EMS Tower since 2006
This archive features long-term measurements of the atmospheric mixing ratios of O2 and CO2 at two heights on the Harvard Forest EMS flux tower. The data fields include the time of data collection, the height from which the samples were drawn, the O2 mixing ratio and the CO2 mixing ratio.
Atmospheric Gaseous Elemental Mercury Fluxes at Harvard Forest EMS Tower 2019-2020
In terrestrial ecosystems, dry deposition of atmospheric gaseous elemental mercury (GEM) is considered the dominant source of mercury accounting for 54% to 94% of mercury loads observed in soils, yet direct quantification of GEM deposition across forests is largely missing. The goal of this project is to quantify atmosphere-surface exchange of GEM at Harvard Forest for one full year, providing the first such record in a non-polluted forest. GEM exchange is measured using micrometeorological techniques using a large measurement tower, the only available method for direct, non-intrusive and time-extended measurements of net GEM exchange at the ecosystem level encompassing all underlying sinks and sources. A second objective was to partition GEM fluxes into canopy and soil contributions via deployment of two corresponding flux systems: one system was deployed above the forest canopy to measure ecosystem-level GEM exchange; a second system was deployed below the canopy to quantify soil contributions. This dataset contains an 18-month record of gaseous elemental mercury concentrations and fluxes measured at the EMS tower at Harvard Forest from May 2019 to August 2020.
Soil Respiration, Temperature and Moisture at Harvard Forest EMS Tower 1995-2014
We have been making long-term soil respiration measurements at our transect sites since the summer of 1995. The rainfall exclusion experiment began in May of 2001 and autochamber measurements began in 2003. A root exclusion experiment (trenching) was conducted from 2012-2014.
EMS - Automated High-Frequency Methane Data
Automated high-frequency methane (CH4) in ambient air measurements were made at the Harvard Forest (HF) research site since 1992. The proximity and the relative location of the site to numerous industrial/urban areas presents the opportunity to sample air flows that have been influenced by known CH4 sources on a regular and repeatable basis and to characterize the atmospheric chemical signature of the sampling location and assess its sensitivity to both local and regional sources at different time scales.
Banco de dados dos abrigos provisórios de pessoas, instalados após as enchentes, em 2024 em Porto Alegre, Brasil
<h1><strong>Banco de dados dos abrigos provisórios de pessoas, instalados em 2024 em Porto Alegre, Brasil, Metodologia</strong></h1> <p>Em contextos de desastres climáticos, a necessidade de prover abrigos que amparem as vítimas no momento mais crítico da crise torna-se uma prioridade para governos e sociedades locais. Durante as inundações ocorridas no Rio Grande do Sul, entre abril e maio de 2024, foram instalados 981 abrigos provisórios em 117 municípios, que atenderam 69.415 pessoas. (Secretaria de Desenvolvimento Social do Estado do RS, 2024).</p> <p>O banco de dados aqui apresentado traz informações sobre os 156 abrigos provisórios que em 2024 acolheram pessoas em Porto Alegre, capital do estado do Rio Grande do Sul, Brasil. Para a construção desse banco, foram pesquisadas duas bases originais: o Banco de dados das cheias na Região Hidrográfica do Lago Guaíba em maio de 2024 (Possanti et al., 2024)¹, com 919 casos no estado, e o Censo sobre os abrigos provisórios no estado do Rio Grande do Sul realizado pela Secretaria Estadual de Desenvolvimento Social (Rio Grande do Sul. Secretaria de Desenvolvimento Social, 2024), que contou com a aplicação de 918 questionários junto aos locais, entre 10 de maio e 10 de junho de 2024. </p> <p>Preliminarmente, em ambas as fontes foram selecionados apenas os abrigos de Porto Alegre, e inseridos em uma única planilha Excel. A seguir, foram excluídos os casos de: repetição (no nome ou código), sem abrigados ou com apenas uma pessoa, sem informação sobre o número de abrigados ou sobre o tipo de entidade responsável, local desativado, sem endereço ou com localização prejudicada, sem as coordenadas corretas para geolocalização. </p> <p>O banco final, exposto a seguir, completou 156 unidades de análise referentes aos abrigos provisórios de pessoas (alguns com mais de uma finalidade) instalados em Porto Alegre, georreferenciados e com, no mínimo, dois abrigados. As variáveis são as seguintes: código (do abrigo), fonte(s), nome do abrigo, número de abrigados, tipo de instituição responsável, grupos de instituições responsáveis, endereço, bairro, latitude e longitude. A distribuição dos casos de acordo com as fontes pesquisadas ficou assim: 88 unidades provenientes de ambas (Banco de dados das cheias e Censo sobre abrigos), 47 do Banco de dados das cheias e 21 do Censo sobre abrigos.</p> <p>Para classificar os abrigos provisórios de Porto Alegre de acordo com as instituições responsáveis pelo espaço físico e instalações, examinamos o seu nome e geolocalização. A partir daí, elaboramos, inicialmente, 11 códigos, a saber: Associações ou centro culturais comunitários; Associações profissionais, sindicatos ou cooperativas; Centros de tradição gaúcha (CTGs); Clubes ou centros esportivos; Clubes sociais ou sociedades culturais; Empresas (incluindo microempresas, escolas privadas e universidades); Outro (imóvel privado); Instituições do Grupo S; Instituições religiosas ou espirituais; ONGs; Órgãos estatais, escolas públicas ou universidades públicas. Posteriormente, esses códigos foram transformados nas seguintes quatro categorias: 1º Setor (Órgãos estatais. nos três níveis de governo, escolas públicas ou universidades públicas); 2º Setor (Empresas privadas, incluindo microempresas); 3º Setor (Foram incluídos os grupos de: Associações ou centros culturais comunitários; CTGs; Clubes ou centros esportivos; Clubes sociais ou sociedades culturais; Outro; Instituições do Grupo S; Instituições religiosas ou espirituais; ONGs); Associações profissionais, sindicatos ou cooperativas. </p> <h3><strong>Referências</strong></h3> <p>POSSANTTI, I., AGUIRRE, A., ALBERTI, C., ANDRADES FILHO, C., AZEREDO, L., BALBON, J., BARBEDO, R., BARCELOS, M., BECKER, F., BEDIN, M., BREGALDA, N., CACCIATORE, J., CAMANA, M., CAMARGO, P., CANTOR, G., CARDOZO, T., CARGNIN, B., CARRARD, G., CASTILHOS, M., CAZANOVA, R., CHIARELLI, F., COLLISHONN, W., CORNELY, A., CREMON, É., CUNHA, L., CUNHA, R., CÁRDENAS, S., DORNELES, J., DORNELLES, F., ECKHARDT, R., FAN, F., FRONER, M., GIACCOM, B., GIASSON, S., GOLDENFUM, J., GONZÁLEZ-ÁVILA, I., GONÇALVES, C., GONÇALVES, G., GUASSELLI, L., GUIMARÃES, E., GUIMARÃES, E., HELLMANN, A., HERRMANN, P., HORSTMANN, G., IABLONOVSKI, G., IESCHECK, A., KIPPER, P., KOBYAMA, M., KRASNER, M., KROB, L., KUELE, P., LAIPELT, L., LUTZ, V., MACIEL, J., MAGALHÃES, F., MALLET, J., MARQUES, B., MARQUES, G., MEIRELLES, F., MEXIAS, L., MICHEL, G., MICHEL, R., MINCARONE, M., MOURA, E., MÜLLER, J., NEVES, É., NICOLINI, I., NONNEMACHER, L., NOVAKOSKI, K., OLIVEIRA, G., OLIVEIRA, M., OTT, P., PAIVA, R., PERES, L., PETRY, L., QUEVEDO, R., QUINTELA, R., RAMOS, M., RAUBER, A., REIS, M., RIBEIRO, M., RIGHI, M., RISSO, A., RODRIGUES, R., ROITMAN, A., RORATO, G., ROYER, S., RUHOFF, A., RUOSO, E., SAMPAIO, M., SCHABBACH, L., SCHIAFFINO, M., SCHMITT, H., SCHUMACHER, R., SCHWARZER, G., SERRANO, N., SIGALLIS, A., SILVA, M., SILVA, S., SLUTER, C., SOARES, L., SOARES, V., SOUSA, L., SOUZA, A., TSCHIEDEL, A., UCHA, L., UMBELINO, G., UTZIG, E. & ZAMBRANO, F. (2024). Banco de dados das cheias na Região Hidrográfica do Lago Guaíba em maio de 2024 (versão 1.2) [Data set]. Zenodo. Disponível em: https://zenodo.org/doi/10.5281/zenodo.11164049; Acesso em: 30/09/2024.</p> <p>RIO GRANDE DO SUL. SECRETARIA DE DESENVOLVIMENTO SOCIAL. (2024). Censo sobre os abrigos provisórios no estado do Rio Grande do Sul. Disponível em: Microsoft Power BI; Acesso em: 10/11/2024.</p> <h3><strong>Nota</strong></h3> <p>[1] Na plataforma colaborativa “Cientistas pelo RS” foi criado o GT Abrigos, um grupo de WhatsApp voltado à produção de informações atualizadas e geolocalizadas sobre as características e as necessidades dos pontos de atendimento de emergência criados durante as inundações no RS, os quais abrangiam: abrigos de pessoas, abrigos de animais ou hotel pet, centros de coleta/distribuição de doações, centros de triagem, cozinhas solidárias e espaços com mais de uma finalidade. As informações provinham de: SOS RS (sos-rs.com), Fórum Social das Periferias de Porto Alegre, Gabinete Integrado de Gestão de Crise de Guaíba, Curiaca-UERGS, Prefeituras de Caxias do Sul, Eldorado do Sul, Novo Hamburgo, São Leopoldo e Porto Alegre (abrigars.com.br), Coletivo Meio de Caxias do Sul, SOS/RS-Zona Sul, Territórios Negros, Bonanza, Universidade de Santa Cruz do Sul etc.</p>
Podcast de Residência em Enfermagem Unirio/HFSE
<p>Universidade Federal do Estado do Rio de Janeiro - UNIRIO / Escola de Enfermagem<br>Alfredo Pinto - EEAP</p> <p>Pós-graduação em clínica médica e cirúrgica em enfermagem nos moldes de residência</p> <p>Disciplina: Relações Interpessoais </p> <p>Docentes: Leila Leontina do Couto Barcia e Sonia de Souza</p> <p>Enfermeiros Residentes: Aline Lima / Ana Caroline Dutra / Beatriz Brandão / Ester Martins /<br>Fernanda Marçal / Gabriele Santos / Jessica Soares / Joely Cristina Uruga / Luana Leticia<br>Ribeiro / Roberto Leal / Yury Gomes</p> <p>UTS: Hospital Federal dos Servidores do Estado - HFSE</p> <p>Podcast com o título: Políticas de saúde inclusivas, focando em iniciativas e políticas<br>públicas que visam promover a equidade e inclusão no sistema de saúde, avaliando os<br>avanços e desafios.<br><br>Objetivos:<br>• Informar sobre Políticas de Saúde Inclusivas, apresentando as principais iniciativas e<br>políticas públicas voltadas para a promoção da equidade e inclusão no sistema de saúde<br>brasileiro.<br>• Discutir os avanços conquistados nas últimas décadas em relação à inclusão de grupos<br>historicamente marginalizados, como pessoas com deficiência, minorias étnicas e a<br>população LGBTQIA+.<br>• Avaliar os desafios ainda enfrentados na implementação efetiva dessas políticas,<br>incluindo barreiras estruturais, sociais e culturais que dificultam o acesso equitativo aos<br>serviços de saúde.<br>• Estimular uma discussão crítica entre especialistas, gestores de saúde e a sociedade civil<br>sobre a importância da inclusão e equidade no sistema de saúde.<br>• Aumentar a conscientização da audiência sobre seus direitos à saúde e sobre como as<br>políticas de saúde inclusivas podem impactar suas vidas.</p>
Dataset Forró em Vinil
<p>In the work described in both the paper <em><a href="https://archives.ismir.net/ismir2020/paper/000061.pdf">Measuring disruption in song similarity networks</a> </em>and the doctoral thesis entitled <em>Caracterizando e Quantificando Inovação em Redes de Similaridade Musical </em>(only available in portuguese), Falcão et al. developed a study of disruption measurement over a collection of a Brazilian music tradition called Forró.</p> <p>This dataset contains all the audio information used during analysis. 25,605 audio files were used to build a song similarity network, from which disruption information was derived.</p> <p><em><strong>list_of_songs.txt</strong>,</em> <strong><em>mfccs.csv</em> </strong>and <strong><em>latent_representations.csv</em></strong> contain an indexed list of all the audio files analysed, their MFCC-based feature vectors and a simplified latent representation of the MFCCs generated by an autoencoder developed during the study, respectively. Data from all these files can be mapped by using the indexes (i.e., the i-eth line in <em>mfccs.csv</em> refers to the feature vector for the i-eth song informed by <em>list_of_songs.txt</em>)</p> <p><strong><em>similarity network - unweighted.gexf</em></strong> contains the similarity network built according to the similarities calculated using the feature vectors. The network is available in a GEXF (<em>Graph Exchange XML Format)</em> format, and can be visualized with softwares like <a href="https://gephi.org/">Gephi</a>.</p>
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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.