17 datasets found
  1. e

    GEOREVIEW: Scientific Annals of Stefan Cel Mare University of Suceava...

    • exaly.com
    csv, json
    Updated Nov 1, 2025
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    (2025). GEOREVIEW: Scientific Annals of Stefan Cel Mare University of Suceava Geography Series - g-index [Dataset]. https://exaly.com/journal/87031/georeview-scientific-annals-of-stefan-cel-mare-u/g-index
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    json, csvAvailable download formats
    Dataset updated
    Nov 1, 2025
    License

    Attribution-ShareAlike 4.0 (CC BY-SA 4.0)https://creativecommons.org/licenses/by-sa/4.0/
    License information was derived automatically

    Area covered
    Suceava
    Description

    The graph shows the changes in the g-index of ^ and the corresponding percentile for the sake of comparison with the entire literature. g-index is a scientometric index similar to g-index but put a more weight on the sum of citations. The g-index of a journal is g if the journal has published at least g papers with total citations of g2.

  2. Data from: Global analysis of protein turnover dynamics in single cells

    • data.niaid.nih.gov
    • ebi.ac.uk
    xml
    Updated Mar 28, 2025
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    Maico Yannic Lechner; Jesper Velgaard (2025). Global analysis of protein turnover dynamics in single cells [Dataset]. https://data.niaid.nih.gov/resources?id=pxd058753
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    xmlAvailable download formats
    Dataset updated
    Mar 28, 2025
    Dataset provided by
    Novo Nordisk Foundation Center for Protein Research
    NNF CPR
    Authors
    Maico Yannic Lechner; Jesper Velgaard
    Variables measured
    Proteomics
    Description

    Single-cell proteomics (SCP) has advanced significantly, yet it remains largely unidimensional, focusing primarily on protein abundances. This limitation hinders our understanding of the dynamic processes occurring within individual cells, particularly protein turnover, which is crucial for cellular function and regulation. In this study, we employed a pulsed stable isotope labeling by amino acids in cell culture (SILAC) approach to simultaneously evaluate protein abundance and turnover in single cells (SC-pSILAC). Using state-of-the-art SCP workflow, we demonstrated that two SILAC labels are detectable from ~4000 proteins in single HeLa cells recapitulating known biology. We investigated drug effects using protein synthesis and degradation inhibitors on global and specific protein turnover in single cells and performed a large-scale time-series SC-pSILAC analysis of undirected differentiation of human induced pluripotent stem cells (iPSC) encompassing six sampling times over two months and analyzed >1000 cells. Abundance measurements highlighted cell-specific markers of stem cells and various organ-specific cell types. Protein turnover dynamics highlighted differentiation-specific co-regulation of core members of protein complexes with core histone turnover discriminating dividing and non-dividing cells with potential in stem cell and cancer research. Lastly, correlating the abundance of individual proteins from cells displaying a wide range of diameters show that histones and some proteins involved in the cell cycle do not scale with cell size confirming previous observations in yeast. Our study represents the most comprehensive SCP analysis to date, offering new insights into cellular diversity and pioneering functional post-translational measurements beyond protein abundance. This method not only distinguishes SCP from other single-cell omics approaches and enhances its scientific relevance in biological research in a multidimensional manner but also showcase the discovery potential of SCP in fundamental biology.

  3. Antarctic coastal exposure length and index, 1979-2020

    • researchdata.edu.au
    Updated Oct 15, 2021
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    MASSOM, ROB; REID, PHILLIP; Reid, P. and Massom, R.; REID, PHILLIP; REID, PHILLIP (2021). Antarctic coastal exposure length and index, 1979-2020 [Dataset]. https://researchdata.edu.au/antarctic-coastal-exposure-1979-2020/1821951
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    Dataset updated
    Oct 15, 2021
    Dataset provided by
    Australian Antarctic Divisionhttps://www.antarctica.gov.au/
    Australian Antarctic Data Centre
    Authors
    MASSOM, ROB; REID, PHILLIP; Reid, P. and Massom, R.; REID, PHILLIP; REID, PHILLIP
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Time period covered
    Jan 1, 1979 - Dec 31, 2020
    Area covered
    Description

    Described fully in (https://doi.org/10.21203/rs.3.rs-636839/v1 holder).

    Data
    The main CEL method, and a subsidiary Coastal Exposure Index or CEI (both described below), are based on daily sea-ice concentration products for the period 1979 through 2020. These products are derived from the multi-satellite passive-microwave brightness temperature time series using the NASA Team algorithm, mapped at 25 km x 25 km resolution and obtained from the NASA National Snow and Ice Data Center (NSIDC) Distributed Active Archive Center (DAAC). Both algorithms are designed to be adaptable for different resolution data. Complete coverage of the entire Antarctic coastal and sea-ice zones is obtained on a daily basis, except for 1979-July 1987 (once every two days). Missing single days during this period are interpolated from the adjoining day's sea-ice concentration values. Averages and climatologies are based on the period 1979-2020, unless otherwise stated. The continental land mask used (gsfc_25s.msk) is also obtained from NSIDC, and includes ice shelves (the seaward extremities of which are taken here to be coastline). Coastline grid points are defined from the continental land mask as any ocean grid point that has land/ice sheet adjacent to it.

    Analysis methods
    For this study, we developed two new but different algorithms for quantifying and monitoring Antarctic coastal exposure: the Coastal Exposure Index (CEI) and Coastal Exposure Length (CEL) method.

    The CEI technique is based on the detection of sea ice presence/absence radially out (northwards) from the coastline along each meridian (at one degree longitudinal spacing), following masking of the ice sheet. The CEI is simply defined as the number of longitudes with no sea ice (threshold set to less than 15% following convention) to the north of the continent, and hence runs from zero to 360. This methodology is trivial and code for this is not included.

    CEL is defined as the length (in kms) of the Antarctic coastal perimeter with no adjacent sea ice anywhere offshore (i.e. total exposure of the coast to the open Southern Ocean with no intervening sea ice), but excluding coastal polynyas. By this method, we use the land mask to determine if each coastal grid point has an immediately-adjacent ocean grid point that is ice-free (i.e. has a sea-ice concentration of less than 15%). If this criterion is met, then a nearest (adjoining) neighbour-testing technique is used to determine whether that ocean grid point is exposed in some way to the wider open ocean or is bound by neighbouring sea ice offshore. If any of the neighbouring grid points are classified as “exposed”, or if the total area of neighbouring ice-free grid points exceeds an arbitrary cut-off of 500,000 km2, then that coastal grid point is classified as “exposed”. Otherwise, the grid point and all sea-ice-free neighbouring grid points are deemed to be bounded by sea ice and are classified as a coastal polynya. The length of individual exposed coastal grid points is estimated by taking the square root of the respective pixel area. The length of coastal exposure, either regionally or net circum-Antarctic, is then simply the sum of the length of exposed coastal grid points. The IDL code used for calculating CEL is included here.

  4. f

    Data Sheet 1_Prognostic value of kappa free light chain index in patients...

    • frontiersin.figshare.com
    pdf
    Updated Nov 7, 2025
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    Martin Schmidauer; Klaus Berek; Michael Auer; Gabriel Bsteh; Paola Cavalla; Franziska Di Pauli; Massimiliano Di Filippo; Florian Deisenhammer; Andreja Emeršič; Fabian Föttinger; Lorenzo Gaetani; Michaela Hassler; Nik Krajnc; Dejan Milosavljevic; Markus Ponleitner; Thor Petersen; Stefan Presslauer; Igal Rosenstein; Uroš Rot; Caroline Winther Tørring; Domizia Vecchio; Marco Vercellino; Tobias Zrzavy; Anne Zinganell; Janette Walde; Harald Hegen (2025). Data Sheet 1_Prognostic value of kappa free light chain index in patients with primary progressive multiple sclerosis.pdf [Dataset]. http://doi.org/10.3389/fimmu.2025.1658182.s001
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    pdfAvailable download formats
    Dataset updated
    Nov 7, 2025
    Dataset provided by
    Frontiers
    Authors
    Martin Schmidauer; Klaus Berek; Michael Auer; Gabriel Bsteh; Paola Cavalla; Franziska Di Pauli; Massimiliano Di Filippo; Florian Deisenhammer; Andreja Emeršič; Fabian Föttinger; Lorenzo Gaetani; Michaela Hassler; Nik Krajnc; Dejan Milosavljevic; Markus Ponleitner; Thor Petersen; Stefan Presslauer; Igal Rosenstein; Uroš Rot; Caroline Winther Tørring; Domizia Vecchio; Marco Vercellino; Tobias Zrzavy; Anne Zinganell; Janette Walde; Harald Hegen
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    BackgroundThe kappa free light chain (κ-FLC) index is a well-established biomarker in multiple sclerosis (MS). While the prognostic value of the κ-FLC index has been demonstrated in early relapsing–remitting MS, its prognostic value in primary progressive MS (PPMS) has not yet been investigated.MethodsIn this multicenter, retrospective cohort study, patients diagnosed with PPMS with diagnostic lumbar puncture and clinical follow-up of at least 12 months were recruited from nine MS centers across five countries. At baseline, age, sex, disease duration, and the number of T2 hyperintense (T2L) and contrast-enhancing T1 lesions (CEL) on MRI were determined. κ-FLC was measured using nephelometry/turbidimetry, and the κ-FLC index was calculated as (CSF κ-FLC/serum κ-FLC)/albumin quotient. At follow-up, the occurrence of disability progression and the administration of disease-modifying treatment (DMT) were registered. The primary endpoint was time to disability progression.ResultsA total of 121 PPMS patients were included with a median age of 53 years (25th–75th percentile: 46–59) and a balanced sex distribution (48.8% female). Multivariable Cox regression analysis revealed no significant association between the κ-FLC index and disability progression [hazard ratio (HR) 1.0, p = 0.950]. Prior use of DMT (HR 0.60, p = 0.023) and brain T2L > 9 at baseline (HR 2.22, p = 0.026) were significantly associated with disability progression. The remaining covariates, including age, sex, disease duration, and CEL, showed no significant associations.ConclusionThe κ-FLC index does not predict disability progression in PPMS, contrasting its growing role as a prognostic biomarker in relapsing MS. This highlights phenotypic differences in MS pathophysiology and underscores the need for prognostic biomarkers in PPMS.

  5. f

    Additional file 3: Table S7. of Panx3 links body mass index and...

    • datasetcatalog.nlm.nih.gov
    • springernature.figshare.com
    Updated Dec 14, 2016
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    Halliwill, Kyle; Quigley, David; Ginzinger, David; Balmain, Allan; Kang, Hio; Del Rosario, Reyno (2016). Additional file 3: Table S7. of Panx3 links body mass index and tumorigenesis in a genetically heterogeneous mouse model of carcinogen-induced cancer [Dataset]. https://datasetcatalog.nlm.nih.gov/dataset?q=0001605201
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    Dataset updated
    Dec 14, 2016
    Authors
    Halliwill, Kyle; Quigley, David; Ginzinger, David; Balmain, Allan; Kang, Hio; Del Rosario, Reyno
    Description

    Gene expression phenotypes and sample IDs. This Excel file (.xlsx) contains phenotype information for the cohort of mice used for expression analysis. The samples are labeled both by mouse ID as well as by.CEL name, corresponding to the.CEL files available from the GEO site under access number GSE52650. (XLSX 90 kb)

  6. w

    Cobertura vegetal de la ciutat de Barcelona, a partir de l'índex NVDI ,vista...

    • data.wu.ac.at
    csv, plain, shp, tiff +2
    Updated Mar 10, 2017
    + more versions
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    (2017). Cobertura vegetal de la ciutat de Barcelona, a partir de l'índex NVDI ,vista des del cel. [Dataset]. https://data.wu.ac.at/schema/datos_gob_es/aHR0cDovL29wZW5kYXRhLWFqdW50YW1lbnQuYmFyY2Vsb25hLmNhdC9kYXRhL2RhdGFzZXQvY29iZXJ0dXJhLXZlZ2V0YWwtbmR2aQ==
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    plain, csv, shp, zip, xml-app, tiffAvailable download formats
    Dataset updated
    Mar 10, 2017
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Area covered
    Barcelona
    Description

    It is the first identification of the green infrastructure of Barcelona from the NVDI index. On the one hand quantifies the real green of Barcelona and characterizes its distribution in relation to different administrative and urban parameters that help to understand possible territorial deficiencies and find instruments to amend them. On the other hand, it proposes to generate a database of green infrastructure of the city, which serves to provide it with contents, functions and environmental services that it performs.

    Methodology:

    The methodology for calculating the NDVI index in the city of Barcelona and its characterization in relation to territorial, administrative and urban parameters has three distinct parts:

    • First, an NDVI orthophoto with 40 cm of Resolution, based on a photogrammetric flight that has covered the whole municipality of Barcelona with a pixel size on the ground of 9 cm. The NVDI index is calculated as follows:

    (Reflectivity to the near infrared region - Reflectivity to the red region) / (Reflectivity to the near infrared region + Reflectivity of the red)

    External orientations have been corrected by adjusting the NDVI index to digital models of surfaces obtained from correlation techniques and with crowns of trees projected to the ground.

    • Secondly, the information has been validated in several control areas of the city and the exact limit of detection of green has been established without detecting other non-vegetated areas. The error has also been evaluated proving the correlation with the positioning of the trees and the digital altitudes model.

    • Finally, 1:10.000 scale maps of the distribution of the green and the NVDI index have been generated to the whole city (see maps A0 +) and the index has been analyzed crossing it with that of the districts, neighborhoods, population and qualifications, in order to characterize their administrative and urbanistic territorial distribution.

    It should be noted that the data provided by the NDVI are related to the green coverage, i.e. the green surface seen from the sky. In this way, for example, the whole canopy of a tree, regardless of whether it covers constructed or paved surfaces, is considered as green surface. Thus, the NVDI does not provide information on the structure and complexity of this green, and can not be confused with the green treading surface. On the other hand, despite being the best possible approximation to the city's vegetation, in the calculation of the NVDI index, some serious error is observed in narrow streets, in addition to a lack of detection of the green in some deciduous tree species in Points of the city where the flight occurred in April-May and leaves had not yet grown.

    The aerial images taken on Barcelona for the calculation of the NDVI are of different dates (April, May, June9) and this generates some problem of homogeneous treatment of the data. However, the approximation level of the green is very precise as seen in the two control points analyzed and gives us very valuable information about the green coverage of the city.

    The .zip resource includes the rest of the resources. The coordinates are measured with the ETRS89 reference system.

  7. m

    CEL to calculate OSI

    • data.mendeley.com
    • narcis.nl
    Updated May 6, 2020
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    NITESH KUMAR (2020). CEL to calculate OSI [Dataset]. http://doi.org/10.17632/vrdj6vv33y.1
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    Dataset updated
    May 6, 2020
    Authors
    NITESH KUMAR
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    This CEL helps to calculate the OSI contours in CFD post.

  8. Table_1_Genomic and Biocontrol Potential of the Crude Lipopeptide by...

    • frontiersin.figshare.com
    docx
    Updated Jun 13, 2023
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    Wei Liu; Jiawen Wang; Shan Li; Huaqian Zhang; Li Meng; Liping Liu; Wenxiang Ping; Chunmei Du (2023). Table_1_Genomic and Biocontrol Potential of the Crude Lipopeptide by Streptomyces bikiniensis HD-087 Against Magnaporthe oryzae.DOCX [Dataset]. http://doi.org/10.3389/fmicb.2022.888645.s002
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    docxAvailable download formats
    Dataset updated
    Jun 13, 2023
    Dataset provided by
    Frontiers Mediahttp://www.frontiersin.org/
    Authors
    Wei Liu; Jiawen Wang; Shan Li; Huaqian Zhang; Li Meng; Liping Liu; Wenxiang Ping; Chunmei Du
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    Rice blast caused by Magnaporthe oryzae is one of the most destructive plant diseases. The secondary metabolites of Streptomyces have potential as biological control agents against M. oryzae. However, no commercial secondary antimicrobial products of Streptomyces have been found by gene prediction, and, particularly relevant for this study, a biocontrol agent obtained from Streptomyces bikiniensis has yet to be found. In this research, genomic analysis was used to predict the secondary metabolites of Streptomyces, and the ability to develop biocontrol pharmaceuticals rapidly was demonstrated. The complete genome of the S. bikiniensis HD-087 strain was sequenced and revealed a number of key functional gene clusters that contribute to the biosynthesis of active secondary metabolites. The crude extract of lipopeptides (CEL) predicted by NRPS gene clusters was extracted from the fermentation liquid of S. bikiniensis HD-087 by acid precipitation followed by methanol extraction, and surfactins, iturins, and fengycins were identified by liquid chromatography-mass spectrometry (LC–MS). In vitro, the CEL of this strain inhibited spore germination and appressorial formation of M. oryzae by destroying membrane integrity and through the leakage of cellular components. In vivo, this CEL reduced the disease index of rice blast by approximately 76.9% on detached leaves, whereas its control effect on leaf blast during pot experiments was approximately 60%. Thus, the S. bikiniensis CEL appears to be a highly suitable alternative to synthetic chemical fungicides for controlling M. oryzae.

  9. Coexpression data in COXPRESdb ver 7.1 (Xxx-u)

    • zenodo.org
    zip
    Updated Aug 1, 2022
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    Takeshi Obayashi; Takeshi Obayashi (2022). Coexpression data in COXPRESdb ver 7.1 (Xxx-u) [Dataset]. http://doi.org/10.5281/zenodo.6920823
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    zipAvailable download formats
    Dataset updated
    Aug 1, 2022
    Dataset provided by
    Zenodohttp://zenodo.org/
    Authors
    Takeshi Obayashi; Takeshi Obayashi
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    Union coexpression data in COXPRESdb ver 7.1. The coexpression index is MR (smaller value indicates stronger coexpression).
    Details of the data can be found on the download page in COXPRESdb. https://coxpresdb.jp/download/

    • Cel-u.c1-0 Cel-u.v18-10.G18947-S3326.combat_pca_subagging.mrgeo.d.zip
    • Cfa-u.c1-0 Cfa-u.v18-10.G19530-S1030.combat_pca_subagging.mrgeo.d.zip
    • Dme-u.c1-0 Dme-u.v18-10.G13856-S8805.combat_pca_subagging.mrgeo.d.zip
    • Dre-u.c1-0 Dre-u.v18-10.G20643-S4472.combat_pca_subagging.mrgeo.d.zip
    • Gga-u.c1-0 Gga-u.v18-10.G17621-S2200.combat_pca_subagging.mrgeo.d.zip
    • Hsa-u.c1-0 Hsa-u.v18-10.G22004-S56567.combat_pca_subagging.mrgeo.d.zip
    • Mcc-u.c1-0 Mcc-u.v18-10.G20198-S2211.combat_pca_subagging.mrgeo.d.zip
    • Mmu-u.c1-0 Mmu-u.v18-10.G22278-S63643.combat_pca_subagging.mrgeo.d.zip
    • Rno-u.c1-0 Rno-u.v18-10.G17352-S16119.combat_pca_subagging.mrgeo.d.zip
    • Sce-u.c1-0 Sce-u.v18-10.G5711-S4798.combat_pca_subagging.mrgeo.d.zip
    • Spo-u.c1-0 Spo-u.v18-10.G5713-S309.combat_pca_subagging.mrgeo.d.zip

    Union coexpression is calculated by the average of the logit-transformed MR values of RNAseq and microarray coexpression; for gene pairs with only RNAseq coexpression, RNAseq coexpression values were converted to union values by linear regression.

    Please also check our related publication for a plant coexpression database, ATTED-II:
    Obayashi T, Hibara H, Kagaya Y, Aoki Y, Kinoshita K. (2022) ATTED-II v11: a plant gene coexpression database using a sample balancing technique by subagging of principal components. Plant Cell Physiology, 63: 869-881.

  10. [RSS302064] [Cel]

    • thermofisher.cn
    Updated Dec 10, 2023
    + more versions
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    Thermo Fisher Scientific (2023). [RSS302064] [Cel] [Dataset]. https://www.thermofisher.cn/order/genome-database/details/sirna/RSS302064
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    Dataset updated
    Dec 10, 2023
    Dataset provided by
    赛默飞世尔科技http://thermofisher.com/
    Authors
    Thermo Fisher Scientific
    Description

    [The protein encoded by this gene is a glycoprotein secreted from the pancreas into the digestive tract and from the lactating mammary gland into human ]

  11. e

    Populația cu vârsta de cel puțin 2 ani din Țara Bascilor în funcție de limba...

    • data.europa.eu
    unknown
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    Comunidad Autónoma del País Vasco, Populația cu vârsta de cel puțin 2 ani din Țara Bascilor în funcție de limba vorbită acasă și de vârstă, în funcție de teritoriul istoric și de nivelul global al Țării Bascilor. [Dataset]. https://data.europa.eu/data/datasets/https-opendata-euskadi-eus-catalogo-contenidos-estadistica-eustat010654-es_def-index-shtml?locale=ro
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    unknown(27382), unknown(7424)Available download formats
    Dataset authored and provided by
    Comunidad Autónoma del País Vasco
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Area covered
    Țara Bascilor
    Description

    Recensământul populației și al locuințelor. Euskera își propune să furnizeze date anuale privind nivelul populației basce rezidente în C.A. a Țării Bascilor, detaliate la nivel municipal. În mod specific, se diseminează informații privind nivelul de cunoaștere, limba vorbită acasă și prima limbă, precum și distribuția acesteia în funcție de variabilele sociodemografice, cum ar fi sexul, vârsta, locul nașterii, studiile efectuate, profesia sau situația în raport cu activitatea. Performanța acestei operațiuni statistice se bazează pe tratamentul și utilizarea majoritară a surselor administrative.

  12. e

    Serviciu simplu de descărcare (Atom) al setului de date: Zonele de zgomot...

    • data.europa.eu
    unknown
    Updated Feb 19, 2022
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    (2022). Serviciu simplu de descărcare (Atom) al setului de date: Zonele de zgomot (hartă de tip A, index LN) ale rețelei rutiere departamentale Var [Dataset]. https://data.europa.eu/data/datasets/fr-120066022-srv-bebedc9c-9b4a-42b0-8718-b115b5c0c73c?locale=ro
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    unknownAvailable download formats
    Dataset updated
    Feb 19, 2022
    Description

    Directiva europeană 2002/49/CE din 25 iunie 2002 privind evaluarea și gestiunea zgomotului ambiental presupune, pentru statele membre ale UE, o evaluare a zgomotului ambiental în vecinătatea principalelor infrastructuri de transport (teren și aerian) și în marile aglomerări. Această evaluare se realizează în special prin elaborarea așa-numitelor hărți acustice, prima serie fiind elaborată în 2007 (primul termen limită al directivei) și 2012 (al doilea termen-limită). Articolul L572-5 din Codul mediului prevede că aceste hărți sunt „revizuite și, dacă este necesar, revizuite cel puțin o dată la cinci ani”. Astfel, punerea în aplicare a prezentei revizuiri conduce, în 2017 și după caz, la revizuirea sau reînnoirea hărților elaborate anterior.

    Hărțile strategice de zgomot (CBS) sunt concepute pentru a permite evaluarea globală a expunerii la zgomot și pentru a previziona evoluția acestuia.

    CBS sunt necesare în special pentru infrastructura rutieră cu un trafic anual de peste 3 milioane de vehicule pe an. Pentru infrastructura majoră de transport rutier și feroviar, CBS sunt înființate, decise și aprobate sub autoritatea prefectului departamentului. Hărțile acustice sunt elaborate în conformitate cu indicatorii stabiliți de directiva europeană, și anume Lden (Day Evening Night Level) și Ln (Night Level).

    • Zi/zi:[6h-18h]

    • Seara/seara:[18h-22h]

    • Noapte/noapte:[22h-6h] Indicatorii Lden și Ln corespund unei medii energetice definite pe parcursul perioadelor (zi/negru/noapte) pentru Lden și (Noapte) pentru Ln. Rezultatele corespunzătoare sunt exprimate în decibeli ponderați A sau dB(A).

    Zonele expuse la zgomot (hărți de tip A): Acestea sunt două cărți reprezentând • zone expuse la mai mult de 55 dB(A) în Lden • zone expuse la mai mult de 50 dB(A) în Ln Acestea sunt prezentate sub formă de curbe izofonice care materializează zone cu același nivel sonor și sunt reprezentate grafic cu pas de 5 dB(A) de la pragul de 55 dB(A) în Lden și 50 dB(A) în Ln.

    Pentru o listă de căi, vă rugăm să consultați rezumatul fără caracter tehnic (pagina 9). Directiva europeană 2002/49/CE din 25 iunie 2002 privind evaluarea și gestiunea zgomotului ambiental presupune, pentru statele membre ale UE, o evaluare a zgomotului ambiental în vecinătatea principalelor infrastructuri de transport (teren și aerian) și în marile aglomerări. Această evaluare se realizează în special prin elaborarea așa-numitelor hărți acustice, prima serie fiind elaborată în 2007 (primul termen limită al directivei) și 2012 (al doilea termen-limită). Articolul L572-5 din Codul mediului prevede că aceste hărți sunt „revizuite și, dacă este necesar, revizuite cel puțin o dată la cinci ani”. Astfel, punerea în aplicare a prezentei revizuiri conduce, în 2017 și după caz, la revizuirea sau reînnoirea hărților elaborate anterior. Hărțile strategice de zgomot (CBS) sunt concepute pentru a permite evaluarea globală a expunerii la zgomot și pentru a previziona evoluția acestuia. CBS sunt necesare în special pentru infrastructura rutieră cu un trafic anual de peste 3 milioane de vehicule pe an. Pentru infrastructura majoră de transport rutier și feroviar, CBS sunt înființate, decise și aprobate sub autoritatea prefectului departamentului.

    Hărțile acustice sunt elaborate în conformitate cu indicatorii stabiliți de directiva europeană, și anume Lden (Day Evening Night Level) și Ln (Night Level). • Zi/zi: [6h-18h] • Seara/seara:[18h-22h] • Noapte/noapte: [22h-6h] Indicatorii Lden și Ln corespund unei medii energetice definite pe parcursul perioadelor (zi/negru/noapte) pentru Lden și (Noapte) pentru Ln.Rezultatele corespunzătoare sunt exprimate în decibeli ponderați A sau dB(A).

    Zonele expuse la zgomot (hărți de tip A): Acestea sunt două cărți reprezentând

    • zone expuse la mai mult de 55 dB(A) în Lden

    • zone expuse la mai mult de 50 dB(A) în Ln

    Acestea sunt prezentate sub formă de curbe izofonice care materializează zone cu același nivel sonor și sunt reprezentate grafic cu pas de 5 dB(A) de la pragul de 55 dB(A) în Lden și 50 dB(A) în Ln.

    Pentru o listă de căi, vă rugăm să consultați rezumatul fără caracter tehnic (pagina 9).

  13. [s231405] [VCX3A]

    • thermofisher.cn
    Updated Jul 22, 2021
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    Thermo Fisher Scientific (2021). [s231405] [VCX3A] [Dataset]. https://www.thermofisher.cn/order/genome-database/details/sirna/s231405?CID=&ICID=&subtype=
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    Dataset updated
    Jul 22, 2021
    Dataset authored and provided by
    Thermo Fisher Scientifichttp://thermofisher.com/
    Description

    [This gene belongs to the VCX/Y gene family, which has multiple members on both X and Y chromosomes, and all are expressed exclusively in male germ cel ]

  14. [Mm04412183_m1] [Tunar]

    • thermofisher.cn
    Updated Aug 14, 2025
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    Thermo Fisher Scientific (2025). [Mm04412183_m1] [Tunar] [Dataset]. https://www.thermofisher.cn/taqman-gene-expression/product/Mm04412183_m1?CID=&ICID=&subtype=
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    Dataset updated
    Aug 14, 2025
    Dataset authored and provided by
    Thermo Fisher Scientifichttp://thermofisher.com/
    Description

    [This gene produces a spliced long non-coding RNA that may play a role in maintaining pluripotency and the neural differentiation of embryonic stem cel ]

  15. [118039] [PTDSS2]

    • thermofisher.cn
    Updated Apr 10, 2024
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    Thermo Fisher Scientific (2024). [118039] [PTDSS2] [Dataset]. https://www.thermofisher.cn/order/genome-database/details/sirna/118039?CID=&ICID=&subtype=&pluginName=
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    Dataset updated
    Apr 10, 2024
    Dataset provided by
    赛默飞世尔科技http://thermofisher.com/
    Authors
    Thermo Fisher Scientific
    Description

    [Phosphatidylserine (PS) accounts for 5 to 10% of cell membrane phospholipids. In addition to its role as a structural component, PS is involved in cel ]

  16. [HSS148853] [PDLIM2]

    • thermofisher.cn
    Updated May 13, 2024
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    Thermo Fisher Scientific (2024). [HSS148853] [PDLIM2] [Dataset]. https://www.thermofisher.cn/order/genome-database/details/sirna/HSS148853
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    Dataset updated
    May 13, 2024
    Dataset provided by
    赛默飞世尔科技http://thermofisher.com/
    Authors
    Thermo Fisher Scientific
    Description

    [This gene encodes a member of the ALP subfamily of PDZ-LIM domain proteins. The encoded protein suppresses anchorage-dependent growth and promotes cel ]

  17. [260810] [Lrrc8a]

    • thermofisher.cn
    Updated Nov 27, 2023
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    Thermo Fisher Scientific (2023). [260810] [Lrrc8a] [Dataset]. https://www.thermofisher.cn/order/genome-database/details/sirna/260810
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    Dataset updated
    Nov 27, 2023
    Dataset provided by
    赛默飞世尔科技http://thermofisher.com/
    Authors
    Thermo Fisher Scientific
    Description

    [This gene encodes a protein belonging to the leucine-rich repeat family of proteins, which are involved in diverse biological processes, including cel ]

  18. Not seeing a result you expected?
    Learn how you can add new datasets to our index.

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(2025). GEOREVIEW: Scientific Annals of Stefan Cel Mare University of Suceava Geography Series - g-index [Dataset]. https://exaly.com/journal/87031/georeview-scientific-annals-of-stefan-cel-mare-u/g-index

GEOREVIEW: Scientific Annals of Stefan Cel Mare University of Suceava Geography Series - g-index

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json, csvAvailable download formats
Dataset updated
Nov 1, 2025
License

Attribution-ShareAlike 4.0 (CC BY-SA 4.0)https://creativecommons.org/licenses/by-sa/4.0/
License information was derived automatically

Area covered
Suceava
Description

The graph shows the changes in the g-index of ^ and the corresponding percentile for the sake of comparison with the entire literature. g-index is a scientometric index similar to g-index but put a more weight on the sum of citations. The g-index of a journal is g if the journal has published at least g papers with total citations of g2.

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