Find research datasets worth reusing
Search datasets from major research repositories and use ShareScore to quickly assess how well each record supports discovery, access, and reuse.
14
datasets available to search
ShareScore release 0.9.0
Dataset results
14 results for “Information elements”
Data for SI-Hg D2 validation report for the calibration of elemental mercury gas generators including information on repeatability, reproducibility and uncertainty evaluation at emission and ambient levels extended to the sub ng/m3 level
<p>In deliverable 2 of the SI-Hg project the first validation results of the SI-Hg calibration protocol are reported. Within the SI-Hg project a protocol for the metrological calibration of elemental mercury gas generators used in the field was developed. For the validation the output of two different mercury gas generators was calibrated according to the protocol. As metrological reference standard the primary mercury gas standard from the Van Swinden Laboratory (VSL) was used. The measurements described in the protocol could be performed during the validation and the data was processed using a script to determine the output of the candidate generator and the uncertainty of the mercury concentration. Based on the validation measurements and data processing several improvements for the calibration protocol were identified and were used to improve the calibration protocol. </p><p>In this repository data obtained during the validation is published. The files of the following comparisons between reference generator and candidate generator can be found in this repository:</p><ul><li>VSL vs VSL<ul><li>m1<ul><li>09022022 calibration mercury gas generator VSL vs VSL m1</li><li>VSL_vs_VSL_m1</li></ul></li><li>m2 <ul><li>05072022 calibration mercury gas generator VSL vs VSL m2</li><li>VSL_vs_VSL_m2</li></ul></li><li>m3<ul><li>07072022 calibration mercury gas generator VSL vs VSL m3</li><li>VSL_vs_VSL_m3</li></ul></li></ul></li><li>VSL vs PSA before modification<ul><li>m1<ul><li>15032022 calibration mercury gas generator VSL vs PSA fixed m1</li><li>single_point_VSL_vs_PSA_fixed_m1_4</li><li>single_point_VSL_vs_PSA_fixed_m1_6</li><li>single_point_VSL_vs_PSA_fixed_m1_8</li><li>single_point_VSL_vs_PSA_fixed_m1_12</li></ul></li><li>m2<ul><li>28032022 calibration mercury gas generator VSL vs PSA fixed m2</li><li>single_point_VSL_vs_PSA_fixed_m2_4</li><li>single_point_VSL_vs_PSA_fixed_m2_6</li><li>single_point_VSL_vs_PSA_fixed_m2_8</li><li>single_point_VSL_vs_PSA_fixed_m2_12</li></ul></li><li>m3 <ul><li>06042022 calibration mercury gas generator VSL vs PSA fixed m3</li><li>single_point_VSL_vs_PSA_fixed_m3_4</li><li>single_point_VSL_vs_PSA_fixed_m3_6</li><li>single_point_VSL_vs_PSA_fixed_m3_8</li><li>single_point_VSL_vs_PSA_fixed_m3_12</li></ul></li><li>m4 <ul><li>12042022 calibration mercury gas generator VSL vs PSA fixed m4</li><li>single_point_VSL_vs_PSA_fixed_m4_4</li><li>single_point_VSL_vs_PSA_fixed_m4_6</li><li>single_point_VSL_vs_PSA_fixed_m4_8</li><li>single_point_VSL_vs_PSA_fixed_m4_12</li></ul></li><li>less tubing <ul><li>14042022 calibration mercury gas generator VSL vs PSA fixed less tubing</li><li>single_point_VSL_vs_PSA_fixed_less_tubing</li></ul></li><li>less tubing and air as complementary gas <ul><li>19042022 calibration mercury gas generator VSL vs PSA fixed less tubing in air</li><li>single_point_VSL_vs_PSA_fixed_less_tubing_air</li></ul></li></ul></li><li>VSL vs PSA after modification<ul><li>m1 air as complementary gas <ul><li>Calibration PSA fixed mercury gas generator air m1 20230324</li><li>PSA_fixed_air_m1_9</li><li>PSA_fixed_air_m1_11</li><li>PSA_fixed_air_m1_14</li></ul></li><li>m2 air as complementary gas <ul><li>Calibration PSA fixed mercury gas generator air m2 20230327</li><li>PSA_fixed_air_m2_9</li><li>PSA_fixed_air_m2_11</li><li>PSA_fixed_air_m2_14</li></ul></li><li>m3 air as complementary gas <ul><li>Calibration PSA fixed mercury gas generator air m3 20230329</li><li>PSA_fixed_air_m3_9</li><li>PSA_fixed_air_m3_11</li><li>PSA_fixed_air_m3_14</li></ul></li><li>m4 air as complementary gas <ul><li>Calibration PSA fixed mercury gas generator air m4 20230907</li><li>PSA_fixed_air_m4_9</li><li>PSA_fixed_air_m4_11</li><li>PSA_fixed_air_m4_14</li></ul></li><li>m5 air as complemantary gas <ul><li>Calibration PSA fixed mercury gas generator air m5 20230911</li><li>PSA_fixed_air_m5_9</li><li>PSA_fixed_air_m5_11</li><li>PSA_fixed_air_m5_14</li></ul></li><li>m1 nitrogen (N2) as complementary gas<ul><li>Calibration PSA fixed mercury gas generator nitrogen m1 20230330</li><li>PSA_fixed_N2_m1_9</li><li>PSA_fixed_N2_m1_11</li><li>PSA_fixed_N2_m1_14</li></ul></li><li>m2 N2 as complementary gas <ul><li>Calibration PSA fixed mercury gas generator nitrogen m2 20230331</li><li>PSA_fixed_N2_m2_9</li><li>PSA_fixed_N2_m2_11</li><li>PSA_fixed_N2_m2_14</li></ul></li><li>m3 N2 as complementary gas <ul><li>Calibration PSA fixed mercury gas generator nitrogen m3 20230405</li><li>PSA_fixed_N2_m3_9</li><li>PSA_fixed_N2_m3_11</li><li>PSA_fixed_N2_m3_14</li></ul></li><li>measurement at TUV<ul><li>PSA_Fixed_at_TUV</li></ul></li></ul></li></ul>
BRAIN Journal-The Presence and Activity on Facebook of the Informative Travel Organizations in Romania-Figure 3. Integration of Social Media elements on tourism organization's websites
<p>Currently, in Romania there are about 8 million Facebook users (Facebrands.ro). In the recent years there has been a spectacular increase of this phenomenon, which shows how important is the use of social networks for an economic and even for a non-profit entity in order to make the brand known or to promote an activity (DailyBusiness.ro). </p>
Text-fig. 1. Schematic drawing, demonstrating the basic endoskeletal elements of the craniate head. Sclerotomic derivatives red and pharyngoqualar derivatives yellow. b: basal pharyngoqualar segment; c: ceratal pharyngoqualar segment; ct: cartilago teniformis (blue); e: epal pharyngoqualar segment; gr: gill rays; h: hypal pharyngoqualar segment; la: lower arcual element; lt: laterotectal element; mt: mediotectal element; n: notochord (green); s: summital pharyngoqualar segment; t: telical pharyngoqualar segment; ua: upper arcual element. in Cartilago Teniformis And Its Derivatives: Additional Information On The Basic Composition And Evolution Of The Skull
Text-fig. 1. Schematic drawing, demonstrating the basic endoskeletal elements of the craniate head. Sclerotomic derivatives red and pharyngoqualar derivatives yellow. b: basal pharyngoqualar segment; c: ceratal pharyngoqualar segment; ct: cartilago teniformis (blue); e: epal pharyngoqualar segment; gr: gill rays; h: hypal pharyngoqualar segment; la: lower arcual element; lt: laterotectal element; mt: mediotectal element; n: notochord (green); s: summital pharyngoqualar segment; t: telical pharyngoqualar segment; ua: upper arcual element.
Supplementary information from: A systematic review of trace elements in the tissues of bats (Chiroptera)
<p>Bats constitute about 22% of known mammal species; they have various ecological roles and provide many ecosystem services. Bats suffer from several threats caused by anthropization, including exposure to toxic metals and metalloids. In our systematic review, we analyzed 75 papers to investigate how species, diet, and tissue type impact bioaccumulation in bat species all over the world. Most studies documented element accumulation in fur, liver, and kidney; at least 36 metals and metalloids have been measured in bat tissues, among the most studied were mercury and zinc. Comparisons with known toxicological thresholds for other mammals showed concerning values for mercury and zinc in bat hair, lead and some essential metals in liver, and iron and calcium in kidneys. Moreover, accumulation patterns in tissues differed depending on bat diet: insectivorous bats showed higher metal concentrations in fur than in liver and kidney while frugivorous species showed higher values in liver and kidney than in fur. This review points out several information gaps in the understanding of metal contamination in bats, including a lack of measured toxicity thresholds specific for bat tissues. Data on trace element bioaccumulation and its associated health effects on bats is important for conservation of bat species, many of which are threatened.</p>
Phenotype-Informed Noncoding Element Scoring
<p>Functional characterization of the noncoding genome is essential for the biological understanding of gene regulation and disease. Here, we introduce the computational framework PINES (Phenotype-Informed Noncoding Element Scoring) which predicts the functional impact of noncoding variants by integrating epigenetic annotations in a phenotype-dependent manner. A unique feature of PINES is that analyses may be customized towards genomic annotations from cell types of the highest relevance given the phenotype of interest. We illustrate that PINES identifies functional noncoding variation more accurately than methods that do not use phenotype-weighted knowledge, while at the same time being flexible and easy to use via a dedicated web portal.</p>
Supporting information for: Clade-specific elemental signatures across an Early Triassic marine fauna pave the way for deciphering the affinities of unidentifiable fossils
Open the record for dataset details and reuse information.
Supplementary information from: A systematic review of trace elements in the tissues of bats (Chiroptera)
Open the record for dataset details and reuse information.
Geographic Information System of structural elements in the Niobe-Aphrodite Map Area of Venus: a tool for structural and geologic analysis.
<p>The Niobe Aphrodite Map Area covers over 25% of the surface of Venus and extends from 57N to 57S and 60E to 180E. The structural-element map presented here is derived from the1:10 M-scale geologic maps of Niobe Planitia, U.S. Geological Survey I-2467 and Aphrodite Terra, U.S. Geological Survey I-2476. Both maps are in various stages of review and revision overseen by the U.S. Geological Survey on behalf of NASA.</p> <p>Here we present a Geographic Information System (GIS) that contain the different structural elements of the area (deformation structures and lithodemic units), that can be used to analyze relationships between and among suites of structural elements across this large portion of Venus’ surface.</p> <p>Base images and data on which determination of the structural element determination is based can be accessed and downloaded directly in GIS-ready formats through the USGS Map a Planet website (https://astrogeology.usgs.gov/tools/map-a-planet-2).</p>
BioAgora D3.1 Annex - BDS2020 actionable information elements
<p>Table from BioAgora D3.1. Annex 3 c. </p> <p>First attempt of extraction and classification of information elements (IE) from the <em>Support to the Evaluation of the EU biodiversity strategy to 2020, and follow-up: final evaluation report </em>(European Commission: Directorate-General for Environment, 2022)<em> </em>document, which helped to build the framework and identify actionable information types.</p> <p> </p>
Laser Ablation Inductively Coupled Plasma Mass Spectrometric Quantification of Isotope Trace Elements in Human Carcinoma Tissue - Stochastic Dynamics and Theoretical Analysis (SUPPORTING INFORMATION)
<p>Supporting information file of publication [https://papers.ssrn.com/sol3/papers.cfm?abstract_id=4334866]. </p>
Supplemental information data from: "Alkali Trace Elements Observed by MarSCoDe LIBS at Zhurong Landing Area on Mars: Quantitative Analysis and Its Geological Implications"
<p>This dataset includes the normalized peak areas of MarSCoDe scietific targets used in Table 3 of the corresponding article. The specific peaks are listed below.</p> <p>Data Set S1: Li 670.97 nm, Fe 260.04 nm, Al 309.37 nm, Ca 318.03 nm, Mg 518.15 nm, K 766.70 nm, and Na 818.55/819.70 nm.</p> <p>Data Set S2: Sr 421.67 nm, Fe 260.04 nm, Al 309.37 nm, Ca 318.03 nm, Mg 518.15 nm, K 766.70 nm, and Na 818.55/819.70 nm.</p> <p>Data Set S3: S 564 nm, Fe 260.04 nm, Al 309.37 nm, Ca 612.39 nm, Mg 448.24 nm, K 766.70 nm, and Na 589.16/589.76 nm.</p>
Supplementary information of Lacustrine element drawdown and N2O emission driving protracted warming during the Toarcian Oceanic Anoxic Event
Open the record for dataset details and reuse information.
BioAgora D3.1 Annex - Freshwater DC actionable information elements
<p>Table from BioAgora D3.1. Annex 3 a. </p> <p>Second attempt of extraction and classification of information elements (IE) from the <em>A European National River Continuity Restoration Policies Review </em>(Schmidt et al. 2023) and the <em>Dam removal, benefits for nature and peopled </em>(WWF Deutschland, 2021) documents, which helped to build the framework and identify further actionable information types, in collaboration with the Freshwater DC.</p>
Abbreviations: ILK: indigenous and local knowledge; IPLCs: indigenous peoples and local communities; NBSAPs: national biodiversity strategies and action plans. a Strategic Plan for Biodiversity 2011–2020. Figure 6. Summary of progress towards the Aichi Targets. Scores are based on quantitative analysis of indicators, a systematic review of the literature, fifth National Reports to the CBD, and available information on countries' stated intentions to implement additional actions by 2020. Progress towards target elements is scored as "Good" (substantial positive trends at a global scale relating to in Summary for policymakers of the global assessment report on biodiversity and ecosystem services - unedited advance version
Abbreviations: ILK: indigenous and local knowledge; IPLCs: indigenous peoples and local communities; NBSAPs: national biodiversity strategies and action plans. a Strategic Plan for Biodiversity 2011–2020. Figure 6. Summary of progress towards the Aichi Targets. Scores are based on quantitative analysis of indicators, a systematic review of the literature, fifth National Reports to the CBD, and available information on countries' stated intentions to implement additional actions by 2020. Progress towards target elements is scored as "Good" (substantial positive trends at a global scale relating to
ScienceDex guides
Understand access before you commit
These curated guides explain access requirements, typical timelines, costs, and reuse considerations for widely used research datasets.
Allen Brain Atlas
Allen Brain Atlas is an Allen Institute collection of brain map atlases, datasets, APIs, and analysis tools covering mouse, human, and non-human primate brain resources.
Annotated Behaviour and Observability Dataset (ABODe)
ABODe is a University of Edinburgh DataShare dataset for behavior classification in group-housed mice using home-cage video, identities, bounding boxes, ground-plate positions, and annotator labels.
DANDI Archive for NWB datasets
DANDI is a BRAIN Initiative archive for publishing and sharing neurophysiology data, including electrophysiology, optophysiology, and behavioral data packaged as NWB and related standards.
International Brain Laboratory public data
The International Brain Laboratory public data releases expose standardized mouse decision-making experiments, including Neuropixels recordings, widefield calcium imaging, behavior, and session metadata accessed through the ONE API.
OpenNeuro
OpenNeuro is a free, open platform for sharing neuroimaging datasets, with public search, dataset pages, and download paths for web, S3, DataLad, and the OpenNeuro CLI.