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3,788 results for “indices”

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zenodo44/100

ERA5-Land selected indicators daily aggregates for the Latin America region, 2018

<p>This deposit contains NetCDF files with daily aggregates from Copernicus Era5-Land eight selected indicators, covering the Latin America region, for 2018.</p><p>Each file represents one indicator aggregation for one month of the year. Inside each NetCDF file, the layers contain the daily aggregates.</p><p>For 2m dewpoint pressure, 10m u component of wind, 10m v component of wind, surface pressure, the mean function was used for aggregation. For total precipitation, the sum function was used for aggregation. For 2m temperature, the functions maximum, mean and minimum were used for aggregation.</p><p>Those files were created using the <a href="https://github.com/ErikKusch/KrigR">KrigR</a> package.</p>

opencc-by-4.0Oct 2023View details →
zenodo44/100

ERA5-Land selected indicators daily aggregates for the Latin America region, 2019

<p>This deposit contains NetCDF files with daily aggregates from Copernicus Era5-Land eight selected indicators, covering the Latin America region, for 2019.</p><p>Each file represents one indicator aggregation for one month of the year. Inside each NetCDF file, the layers contain the daily aggregates.</p><p>For 2m dewpoint pressure, 10m u component of wind, 10m v component of wind, surface pressure, the mean function was used for aggregation. For total precipitation, the sum function was used for aggregation. For 2m temperature, the functions maximum, mean and minimum were used for aggregation.</p><p>Those files were created using the <a href="https://github.com/ErikKusch/KrigR">KrigR</a> package.</p>

opencc-by-4.0Oct 2023View details →
edi44/100

Ecological Survey of Central Arizona: a survey of key ecological indicators in parcels of residential areas in the greater Phoenix metropolitan area, ongoing since 2010 (Reformatted to a Darwin Core Archive)

This data package is formatted as a Darwin Core Archive (DwC-A, event core). For more information on Darwin Core see https://www.tdwg.org/standards/dwc/. This Level 2 data package was derived from the Level 1 data package found here: https://pasta.lternet.edu/package/metadata/eml/edi/115/2, which was derived from the Level 0 data package found here: https://pasta.lternet.edu/package/metadata/eml/knb-lter-cap/653/2. The abstract below was extracted from the Level 0 data package and is included for context: The Ecological Survey of Central Arizona (ESCA) is an extensive field survey and integrated inventory designed to capture key ecological indicators of the CAP LTER study area consisting of the urbanized, suburbanized, and agricultural areas of metropolitan Phoenix, and the surrounding Sonoran desert. The survey is conducted every five years at approximately 200 sample plots (30m x 30m) that were located randomly using a tessellation-stratified dual-density sampling design. Study plots cover habitats throughout the CAP LTER study area ranging from native Sonoran desert sites to residential yards to an airport tarmac. In 2010, the survey was expanded to include an assessment of residential parcels overlapping the survey plot at sites in residential areas. Many of the same variables that are measured in the 30m x 30m survey plot are measured in the parcel, including an inventory of perennial plants, and the biovolume of trees. In addition, a detailed assessment of characteristics of the parcel is performed. Investigators interested in data from the broader Ecological Survey of Central Arizona that includes all survey plots should should search the data catalog for 'ecological survey of central arizona' or 'survey 200' to locate those and other data related to the CAP LTER's ESCA.

openCustomSep 2021View details →
edi44/100

Ecological Survey of Central Arizona: a survey of key ecological indicators in the greater Phoenix metropolitan area and surrounding Sonoran desert, ongoing since 1999 (Reformatted to a Darwin Core Archive)

This data package is formatted as a Darwin Core Archive (DwC-A, event core). For more information on Darwin Core see https://www.tdwg.org/standards/dwc/. This Level 2 data package was derived from the Level 1 data package found here: https://pasta.lternet.edu/package/metadata/eml/edi/247/3, which was derived from the Level 0 data package found here: https://pasta.lternet.edu/package/metadata/eml/knb-lter-cap/652/3. The abstract below was extracted from the Level 0 data package and is included for context: The Ecological Survey of Central Arizona (ESCA) is an extensive field survey and integrated inventory designed to capture key ecological indicators of the CAP LTER study area consisting of the urbanized, suburbanized, and agricultural areas of metropolitan Phoenix, and the surrounding Sonoran desert. The survey, formerly known as the survey 200 and renamed to ESCA in 2015, is conducted every five years at approximately 200 sample plots (30m x 30m) that were located randomly using a tessellation-stratified dual-density sampling design. Study plots cover habitats throughout the CAP LTER study area ranging from native Sonoran desert sites to residential yards to an airport tarmac. Measurements include an inventory of all plants (identified to the lowest possible taxonomic unit, typically species), plant biovolume, soil coring for physicochemical properties, arthropod sweep-net sampling, photo documentation, and a visual survey of site and area characteristics. The objectives of the survey are to (1) characterize patches in terms of key biotic, physical, and chemical variables, and (2) examine relationships among land use, general plant diversity, native plant diversity, plant biovolume, soil nutrient status, and social-economic indices along an indirect urban gradient. A pilot survey was conducted in 1999, and the first full ESCA was conducted in 2000. The maiden survey in 2000 featured a suite of measurements that were not assessed in later surveys, including data fr

openCustomSep 2021View details →
edi44/100

Social and Heat Vulnerability Indices in Phoenix, Arizona

Vulnerability indices and maps are commonly employed by researchers and practitioners to assess hazard risk by combining variables that are theoretically or empirically associated with hazard outcomes and spatially visualizing those combined variables. For this dataset, we followed established methods to produce two vulnerability indices for 358 census tracts in the City of Phoenix, Arizona for the year 2016: the all-hazards Social Vulnerability Index (SoVI) and a specific hazards Heat Vulnerability Index (HVI). For SoVI, we compiled 27 social variables from the 2012-2016 American Community Survey (ACS); for HVI, we compiled seven social variables from the 2012-2016 ACS, one variable regarding residential air conditioning prevalence from the Maricopa County Assessor’s Office, and two variables related to vegetation density from Landsat 8 remote sensing imagery. Lastly, we conducted principal components analysis on each of the indices respective variables and then summed the resulting component scores for each census tract to produce the index values which we then spatially joined to the Phoenix census tracts.

openCustomJul 2019View details →
zenodo40/100

Hydrodynamic and morphological information, and the absolute variations of the vulnerability indices for the period 2000-2015 of the Spanish Iberia Peninsula estuaries.

<p>The dataset included in this repository was obtained during the project entitled &#39;Sensibilidad f&iacute;sica y biotic de los estuarios peninsulares al cambio global (SENSES)&#39; funded by &#39;Fundaci&oacute;n Biodiversidad&#39;, PRCV00487. The data were used in&nbsp;the research article&nbsp;&#39;Sensitivity of Iberian estuaries to changes in sea water temperature, salinity, river-flow, mean sea level, and tidal amplitudes&#39; submitted to <em>Estuarine, Coastal and Shelf Science</em>.</p> <p>Brief description of dataset:</p> <p>For each estuary, the following parameters were calculated</p> <ul> <li>Fachade: the location of the estuary</li> <li>Area (km<sup>2</sup>)&nbsp;</li> <li>D (m): water depth at the mouth of the estuary in 2000 and 2015</li> <li>Tidal Prim (m<sup>3</sup>)</li> <li>Q<sub><em>f</em></sub>&nbsp;(m<sup>3</sup>/s): river flow in 2000 and 2015</li> <li><em>a&nbsp;</em>(m): tidal amplitude of the free surface elevation in 2000 and 2015</li> <li>∆<em>U</em>&nbsp;(m/s): absolute variation of the tidal current amplitude between 2000 and 2015</li> <li>∆<em>E</em>&nbsp;(W/m<sup>2</sup>): absolute variation of the tidal energy flux propagation index between 2000 and 2015</li> <li>∆<em>Ri&nbsp;</em>: absolute variation of the bulk Richardson number index between 2000 and 2015</li> <li>∆<em>SI</em>: absolute variation of the salinity intrusion index between 2000 and 2015</li> </ul> <p>A wide description of the parameters can be found in Serrano, M. A. et al (submitted to <em>Estuarine, Coastal and Shelf Science</em>)</p> <p>Contact person: mserranog@ugr.es</p>

opencc-by-4.0Dec 2019View details →
zenodo40/100

Inventory of the sustainability methodologies, indicators and criteria of research projects funded by the European Union

<p>Based on a screening in the CORDIS database and the experience of project partners, 16 projects were selected for analyses of their contributions regarding sustainability criteria and indicators.</p>

opencc-by-4.0Dec 2020View details →
zenodo40/100

well-developed transverse bridge at anterior end of scutellar groove; 664, Pantoteles tenvirostris, showing clefted anterior margin of scutellar groove; 665, Optatus palmaris; 666, Strongylotes squamans, showing anterior margin of prescutum with large lobes and reduced median longitudinal crest on the scutellar groove; 667, Nertinus suturalis, indicating absence of transverse bridge at anterior end of scutellar groove; 668, Peridinetus irroratus, showing well-developed median longitudinal crest on the scutellar groove and metascutum with weakly-defined posterior margin nearly extending to posterior of metanotum; 669, Leptoschoinus fucatus, showing metascutum with well-defined posterior margin not extending to posterior of metanotum, well-developed transverse bridge at anterior end of scutellar groove, and welldeveloped median longitudinal crest on the scutellar groove; 670, Barilepton filiforme, indicating absence of transverse bridge at anterior end of scutellar groove; 671, Garnia sp., showing concave anterior margin of scutellar groove; 672, Eisonyx crassipes. in Morphology of Baridinae and related groups (Coleoptera, Curculionidae)

well-developed transverse bridge at anterior end of scutellar groove; 664, Pantoteles tenvirostris, showing clefted anterior margin of scutellar groove; 665, Optatus palmaris; 666, Strongylotes squamans, showing anterior margin of prescutum with large lobes and reduced median longitudinal crest on the scutellar groove; 667, Nertinus suturalis, indicating absence of transverse bridge at anterior end of scutellar groove; 668, Peridinetus irroratus, showing well-developed median longitudinal crest on the scutellar groove and metascutum with weakly-defined posterior margin nearly extending to posterior of metanotum; 669, Leptoschoinus fucatus, showing metascutum with well-defined posterior margin not extending to posterior of metanotum, well-developed transverse bridge at anterior end of scutellar groove, and welldeveloped median longitudinal crest on the scutellar groove; 670, Barilepton filiforme, indicating absence of transverse bridge at anterior end of scutellar groove; 671, Garnia sp., showing concave anterior margin of scutellar groove; 672, Eisonyx crassipes.

opencc-by-4.0May 2009View details →
zenodo40/100

Appendix Morphometric parameters of Chaetonotus (Chaetonotus) antrumus Kolicka sp. nov. Abbreviations: N = number of specimens or structures analysed; Range = the smallest and the largest structure measurement found among all specimens measured; SD = standard deviation. All measurements are given in micrometers (μm); all indicators are given as a percentage (%) and italicized. in A new species of freshwater Chaetonotidae (Gastrotricha, Chaetonotida) from Obodska Cave (Montenegro) based on morphological and molecular characters

Appendix Morphometric parameters of Chaetonotus (Chaetonotus) antrumus Kolicka sp. nov. Abbreviations: N = number of specimens or structures analysed; Range = the smallest and the largest structure measurement found among all specimens measured; SD = standard deviation. All measurements are given in micrometers (μm); all indicators are given as a percentage (%) and italicized.

opencc-by-3.0Sep 2017View details →
zenodo40/100

Online Supplemental Materials for: "Total Error and Variability Measures for the Quarterly Workforce Indicators and LEHD Origin Destination Employment Statistics in OnTheMap"

<p>This archive contains supplementary materials for the published manuscript.</p> <p>We report results from the first comprehensive total quality evaluation of five major indicators in the U.S. Census Bureau&#39;s Longitudinal Employer-Household Dynamics (LEHD) Program Quarterly Workforce Indicators (QWI): total flow-employment, beginning-of-quarter employment, full-quarter employment, average monthly earnings of full-quarter employees, and total quarterly payroll. Beginning-of-quarter employment is also the main tabulation variable in the LEHD Origin-Destination Employment Statistics (LODES) workplace reports as displayed in OnTheMap (OTM), including OnTheMap for Emergency Management. We account for errors due to coverage; record-level non-response; edit and imputation of item missing data; and statistical disclosure limitation. The analysis reveals that the five publication variables under study are estimated very accurately for tabulations involving at least 10 jobs. Tabulations involving three to nine jobs are a transition zone, where cells may be fit for use with caution. Tabulations involving one or two jobs, which are generally suppressed on fitness-for-use criteria in the QWI and synthesized in LODES, have substantial total variability but can still be used to estimate statistics for untabulated&nbsp; aggregates as long as the job count in the aggregate is more than 10.</p>

opencc-by-4.0Jul 2020View details →
dryad40/100

Phylogenomics indicates Amazonia as the major source of Neotropical swarm-founding social wasp diversity

The Neotropical realm harbors unparalleled species richness and hence has challenged biologists to explain the cause of its high biotic diversity. Empirical studies to shed light on the processes underlying biological diversification in the Neotropics are focused mainly on vertebrates and plants, with little attention to the hyperdiverse insect fauna. Here, we use phylogenomic data from ultraconserved element (UCE) loci to reconstruct for the first time the evolutionary history of Neotropical swarm-founding social wasps (Hymenoptera, Vespidae, Epiponini). Using maximum likelihood, Bayesian, and species tree approaches we recovered a highly resolved phylogeny for epiponine wasps. Additionally, we estimated divergence dates, diversification rates, and the biogeographic history for these insects in order to test whether the group followed a "museum" (speciation events occurred gradually over many millions of years) or "cradle" (lineages evolved rapidly over a short time period) model of diversification. The origin of many genera and all sampled extant Epiponini species occurred during the Miocene and Plio-Pleistocene. Moreover, we detected no major shifts in the estimated diversification rate during the evolutionary history of Epiponini, suggesting a relatively gradual accumulation of lineages with low extinction rates. Several lines of evidence suggest that the Amazonian region played a major role in the evolution of Epiponini wasps. This spatio-temporal diversification pattern, most likely concurrent with climatic and landscape changes in the Neotropics during the Miocene and Pliocene, establishes the Amazonian region as the major source of Neotropical swarm-founding social wasp diversity.

opencc-zeroJun 2020View details →
dryad40/100

Phylogeography of lionfishes (Pterois) indicate taxonomic over splitting and hybrid origin of the invasive Pterois volitans

The evolutionary consequences of hybridization are poorly understood, especially in the marine realm where hybridization was once thought to be a rare occurrence. Previous research indicated that the lionfishes Pterois volitans and P. miles are sister species, both of which have been detected in the recent invasion of the Atlantic. Anecdotal data from the invasive range indicates they may hybridize, but previous studies have not examined the potential for these species to hybridize in the native range, or how such hybridization affects the distribution of genetic diversity. Here we address evolutionary divergence and population structure using mtDNA COI and two nuclear introns from 214 lionfish including four putative sister species (36 P. miles, 90 P. volitans, 32 P. lunulata, and 56 P. russelii) collected at 10 locations. Genetic data are supplemented with a re-examination of key morphological characters: dorsal, anal and pectoral fin ray counts. These data reveal two lineages (d = 0.041 in COI) among the four putative species: an Indian Ocean lineage, represented by P. miles and a Pacific Ocean lineage represented by P. lunulata and P. russelii. Lionfish identified as P. volitans appear to be hybrids between the sister linages of P. miles and P. lunulata/russelii, a conclusion supported by both the genetic data and morphology. The degree and geographic extent of introgression indicates widespread hybridization, or the absence of valid species distinctions between all four species. These findings also indicate that the lionfish invading tropical Atlantic Ocean, usually labeled P. volitans, is a hybrid.

opencc-zeroJan 2020View details →
zenodo40/100

Data and modeling results for publication: Landscape genetics indicate recently increased habitat fragmentation in African forest-associated chafers

<ul> <li>DNA sequences: <em>cox1</em> and ITS1 alignments</li> <li>spatial records (in hypervolume archive)</li> <li>spatial principal component 1-3 used for <em>hypervolume</em> models (in hypervolume archive)</li> <li>Present and past species distribution models (SDMs): <ul> <li><em>biomod2</em> ensemble SDMs <ul> <li>Present</li> <li>Holocene Altithermal</li> <li>Last Glacial Maximum</li> </ul> </li> <li><em>biomod2</em> SDMs for single PMIP3 models <ul> <li>Present</li> <li>Holocene Altithermal</li> <li>Last Glacial Maximum</li> </ul> </li> <li><em>hypervolume</em> SDMs</li> </ul> </li> <li>landscape connectivity models <ul> <li>circuitscape (for F0, F1, and F2)</li> <li>least cost corridors and paths (for F0, F1, and F2)</li> </ul> </li> </ul>

opencc-zeroJul 2016View details →
zenodo40/100

Air pollution in a tropical city: the relationship between wind direction and lichen bio-indicators in San José, Costa Rica

<p>Lichens are good bio-indicators of air pollution, but in most tropical countries there are few studies on the subject; however, in the city of San José, Costa Rica, the relationship between air pollution and lichens has been studied for decades. In this article we evaluate the hypothesis that air pollution is lower where the wind enters the urban area (Northeast) and higher where it exits San José (Southwest). We identified the urban parks with a minimum area of approximately 5 000m² and randomly selected a sample of 40 parks located along the passage of wind through the city. To measure lichen coverage, we applied a previously validated 10 x 20cm template with 50 random points to five trees per park (1.5m above ground, to the side with most lichens). Our results (years 2008 and 2009) fully agree with the generally accepted view that lichens reflect air pollution carried by circulating air masses. The practical implication is that the air enters the city relatively clean by the semi-rural and economically middle class area of Coronado, and leaves through the developed neighborhoods of Escazú and Santa Ana with a significant amount of pollutants. In the dry season, the live lichen coverage of this tropical city was lower than in the May to December rainy season, a pattern that contrasts with temperate habitats; but regardless of the season, pollution follows the pattern of wind movement through the city</p>

opencc-by-4.0May 2011View details →
zenodo40/100

Air pollution in a tropical city: the relationship between wind direction and lichen bio-indicators in San José, Costa Rica

<p>Lichens are good bio-indicators of air pollution, but in most tropical countries there are few studies on the subject; however, in the city of San José, Costa Rica, the relationship between air pollution and lichens has been studied for decades. In this article we evaluate the hypothesis that air pollution is lower where the wind enters the urban area (Northeast) and higher where it exits San José (Southwest). We identified the urban parks with a minimum area of approximately 5 000m² and randomly selected a sample of 40 parks located along the passage of wind through the city. To measure lichen coverage, we applied a previously validated 10 x 20cm template with 50 random points to five trees per park (1.5m above ground, to the side with most lichens). Our results (years 2008 and 2009) fully agree with the generally accepted view that lichens reflect air pollution carried by circulating air masses. The practical implication is that the air enters the city relatively clean by the semi-rural and economically middle class area of Coronado, and leaves through the developed neighborhoods of Escazú and Santa Ana with a significant amount of pollutants. In the dry season, the live lichen coverage of this tropical city was lower than in the May to December rainy season, a pattern that contrasts with temperate habitats; but regardless of the season, pollution follows the pattern of wind movement through the city</p>

opencc-by-4.0May 2011View details →
zenodo40/100

Indicator for the current and future socio-ecological burden caused by the expansion of wind energy in German districts

<p>The data table lists the calculated present burden (IST-Belastungsgrad) based on the year 2014 and the maximum possible burden (MAX-Belastungsgrad) on the population caused by the further expansion of wind energy. The so-called burden level is calculated accounting for the area occupied by wind turbines, the total area of a district and the population density. Additionally the table holds data on possible future burden levels based on two scenarios for the year 2050. Each district can be identified by its key, "Regionalschlüssel", and corresponding geo data (EPSG: 25832) of the administrative area provided by the Federal Agency for Cartography and Geodesy: © GeoBasis-DE / BKG 2014 (data was changed).</p> <p>The dataset was created in the context of the interdisciplinary research project VerNetzen and is described in detail in the final project report: VerNetzen Degel, M., Christ, M., Grünert, J., Becker, L., Wingenbach, C., Soethe, M., Bunke, W.-D., Mester, K., und Wiese, F. (2016). <em>VerNetzen: Sozial-ökologische und technisch-ökonomische Modellierung von Entwicklungspfaden der Energiewende</em>. IZT Berlin, Europa-Universität Flensburg, Deutsche Umwelthilfe e.V., pp. 98-118, 143-145.</p> <p><strong><em>Deutsch:</em></strong></p> <p>Die Tabelle enthält u.a. den derzeitigen Belastungsgrad, festgestellt für das Jahr 2014, und den maximal möglichen Belastungsgrad je Landkreis. Der Belastungsgrad ist ein Indikator für die durch den Zubau von Windenergie betroffene Bevölkerung und berechnet sich aus der Gesamtfläche eines Landkreises, der für die Windenergie genutzten Fläche und der Bevölkerungsdichte. In der Tabelle sind ebenfalls mögliche zukünftige Belastungsgrade auf Grundlage zweier Projektszenarien für das Jahr 2050 enthalten. Die jeweiligen Landkreise können mit dem Regionalschlüssel oder den geographischen Daten (EPSG: 25832) des Bundesamtes für Kartographie und Geodäsie zugeordnet werden: © GeoBasis-DE / BKG 2014 (Daten verändert).</p> <p>Der Datensatz ist im Kontext des interdisziplinären Forschungsprojekts VerNetzen entstanden und ist ausführlich im Projektabschlussbericht beschrieben: VerNetzen Degel, M., Christ, M., Grünert, J., Becker, L., Wingenbach, C., Soethe, M., Bunke, W.-D., Mester, K., und Wiese, F. (2016). <em>VerNetzen: Sozial-ökologische und technisch-ökonomische Modellierung von Entwicklungspfaden der Energiewende</em>. IZT Berlin, Europa-Universität Flensburg, Deutsche Umwelthilfe e.V., S.98-118, S.143-145.</p> <p> </p> <p> </p>

opencc-by-sa-4.0Jul 2017View details →
zenodo40/100

Indicator for the current and future socio-ecological burden caused by the expansion of wind energy in German districts - auxiliary values

<p>The table contains the population and the size of the total area for each German district as of 2013. Furthermore it contains the size of those areas per district, that potentially could be used for wind energy.</p> <p>The data on the population is provided by the Federal Statistical Office and the statistical Offices of the Länder: © Federal Statistical Office and the statistical Offices of the Länder, Regionaldatenbank Deutschland, December 2014, Datenlizenz by-2-0 (https://www.govdata.de/dl-de/by-2-0) (data was changed). The total district area is derived from geo data provided by the Federal Agency for Cartography and Geodesy: © GeoBasis-DE / BKG 2014 (data was changed).</p> <p>For further information on potential areas see VerNetzen Degel, M., Christ, M., Grünert, J., Becker, L., Wingenbach, C., Soethe, M., Bunke, W.-D., Mester, K., und Wiese, F. (2016). <em>VerNetzen: Sozial-ökologische und technisch-ökonomische Modellierung von Entwicklungspfaden der Energiewende</em>. IZT Berlin, Europa-Universität Flensburg, Deutsche Umwelthilfe e.V., pp. 105-109.</p> <p><em><strong>Deutsch:</strong></em></p> <p>Die Tabelle umfasst die Bevölkerungsanzahl und Flächengröße je deutschem Landkreis für das Jahr 2013. Außerdem ist die Größe jener Fläche angegeben, die potentiell für die Windenergie genutzt werden könnte.</p> <p>Die Bevölkerungszahlen werden von den Statistischen Ämtern des Bundes und der Länder zur Verfügung gestellt: © Statistische Ämter des Bundes und der Länder, Regionaldatenbank Deutschland, Dezember 2014, Datenlizenz by-2-0 (https://www.govdata.de/dl-de/by-2-0) (Daten geändert). Die Landkreisflächen werden auf Grundlage von Geodaten des Bundesamtes für Kartographie und Geodäsie berechnet: © GeoBasis-DE / BKG 2014 (Daten geändert).</p> <p>Für weitere Informationen bzgl. der Potentialflächen siehe VerNetzen Degel, M., Christ, M., Grünert, J., Becker, L., Wingenbach, C., Soethe, M., Bunke, W.-D., Mester, K., und Wiese, F. (2016). <em>VerNetzen: Sozial-ökologische und technisch-ökonomische Modellierung von Entwicklungspfaden der Energiewende</em>. IZT Berlin, Europa-Universität Flensburg, Deutsche Umwelthilfe e.V., S. 105-109.</p>

opencc-by-sa-4.0Aug 2017View details →
zenodo40/100

STARS4Water climate indicators - tier 1

<p>This dataset was generated as part of the Horizon Europe project STARS4Water, which is dedicated to collecting and providing access to existing and newly developed datasets for future water resources management. The data entails a set of indicators for assessing climate risks and impacts on integrated water resources systems. More datasets will be added later-on in the project.&nbsp;This first tier is a set of indicators that are directly derived from readily available datasets from e.g.&nbsp;the Copernicus Climate Data Store. The future projections are simplified by projecting them onto (sub)catchments and by reducing the number<br>of scenarios. This makes them easier to handle by river basin managers and for usages in dashboards.&nbsp;</p>

opencc-by-4.0Jul 2024View details →
zenodo40/100

Indicators of Global Climate Change 2024

<p>This release contains the indicators of global climate change updated to the end of 2024. Datasets included are:</p> <ul> <li>Attribution of historical warming 1850-2024</li> <li>Earth's energy imbalance 1971-2024</li> <li>Effective radiative forcing 1750-2024</li> <li>Global mean surface temperature anomalies 1850-2024</li> <li>Global temperature extreme anomalies 1950-2024</li> <li>Greenhouse gas concentrations 1750-2024</li> <li>Greenhouse gas emissions 1750-2023</li> <li>Remaining carbon budgets in 0.1°C increments</li> <li>Sea level rise 1880-2024 (corrected time bounds)</li> </ul>

opencc-by-4.0May 2024View details →
zenodo40/100

CMIP6 Climate Change indicators

<p>Paneuropean maps of climate change indicators (e.g. heating degree days) for different climate scenarios (historical, SSP1-2.6, SSP2-4.5, SSP5-8.5) and time horizons (reference, short time-horizon, medium time-horizon, long time-horizon) derived from CMIP6 climate data. This v2 includes the metadata.</p>

opencc-by-4.0Apr 2024View details →

ScienceDex guides

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These curated guides explain access requirements, typical timelines, costs, and reuse considerations for widely used research datasets.

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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.

allen-brain-atlas
neuroscienceopenDocumentation, web resources, and API references are available online.
Last verified 2026-04-30Open record

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.

abode-home-cage
behavioral-neuroscienceopenThe DataShare record exposes download links for annotations, documentation, license text, and the zipped per-snippet data directory.
Last verified 2026-04-30Open record

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.

dandi-nwb
electrophysiologyopenPublished Dandiset metadata and archive endpoints are available through the production DANDI API.
Last verified 2026-04-30Open record

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.

ibl
behavioral-neuroscienceopenPublic sessions can be searched and loaded from the IBL public data server through ONE.
Last verified 2026-04-29Open record

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.

openneuro
neuroscienceopenPublished datasets are available on demand over the internet.
Last verified 2026-04-29Open record

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Your academic CV and NIH biosketch

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