Collecting sex-disaggregated data on asset ownership is an important step in achieving gender equality and empowerment of women and girls in Asia and the Pacific.

Effective and planned shoreline management would trigger activities for tourism, and support development of ocean and beach landscape, conserve biodiversity along with coastal people’s livelihood.

Data-driven decision making can be a powerful tool in the world of international development but it requires careful planning and management. 

The exponential growth of data and artificial intelligence is creating a tug-of-war between data for profit and data for the common good. In this struggle, it is fundamental that we protect our basic human data rights.

Reduce Memory Costs and Retain Data at Power Loss with Microchip’s EERAM Memory Solutions

The webinar will highlight the important role the MDBs are called to play in closing the SOGI data gap by supporting innovative forms of data generation and evidence-based policymaking in their countries.

PIC16(L)F18854 Family Silicon Errata and Data Sheet Clarification

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SAM G55 Series Family Silicon Errata and Data Sheet Clarifications

PIC32MX1XX/2XX Family Silicon Errata and Data Sheet Clarification

PIC32MX1XX/2XX/5XX 64/100-pin Family Silicon Errata and Data Sheet Clarification

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ATxmega128/64/32/16A4U Silicon Errata and Data Sheet Clarification

Section 58. Data EEPROM

SAM D5X/E5X Family Datasheet

DSA557-03/04/05 Data Sheet

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ATmega640/1280/1281/2560/2561 - Complete Datasheet

MHM 2020 Datasheet

MHM 2010 Datasheet

AOG-110 Datasheet

1000C OCXO Datasheet

ATxmega128/64/32/16A4U Data Sheet

AT25010B/AT25020B/AT25040B SPI Automotive Temperature Serial EEPROM Data Sheet

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A well-designed evaluation system can be effective in motivating bureaucrats to shift their efforts toward a more environmentally friendly growth path.

The Credit Risk Database contributes to the overall understanding of the small and medium-sized enterprise sector.

A well-designed evaluation system can be effective in motivating bureaucrats to shift their efforts toward a more environmentally friendly growth path.

U.S. brokers should not be forced to sign an agreement that could make them liable for breaches of a massive new industry trading database that they have no control over, a leading financial industry...

Global hedge funds posted their biggest monthly gain in more than a decade in April when stocks rocketed higher with the help of government rescue packages designed to fuel growth stalled by the...

Shanghai Auto Show 2019 – SHANGHAI – April 16, 2019 –HARMAN , a wholly-owned subsidiary of Samsung Electronics Co., Ltd., focused on connected technologies for automotive, consumer and enterprise markets, today announced that the company has entered into...

AI can check satellite images of the ocean and distinguish between floating materials such as seaweed or plastics, which could help clean-up efforts

Title: 50 Years of Data Confirm Benefit of Antipsychotics
Category: Health News
Created: 5/3/2012 11:00:00 AM
Last Editorial Review: 5/3/2012 12:00:00 AM

Bill Hanage describes the many uncertainties surrounding current data examining the prevalence of SARS-CoV-2.

In response to the growing interest in the availability of data associated with articles, PMC is reviewing current practices around data and seeking feedback on how to best serve the data needs of the research community.

As part of these efforts, the PMC policy statement on supplementary data was recently updated to more clearly articulate the requirement that any supplementary data (images, tables, video, or other documents / files) that are associated with an article must be deposited in PMC with an article. The search filter "has suppdata[filter]" can be used in PMC to discover records with associated supplementary data files.

In addition to providing supplementary data with an article, NLM is also encouraging journals and authors to make research data available in a public repository and include the relevant data citation(s) in the paper. Guidance for PMC data providers on tagging data citations is available in the Tagging Guidelines. This guidance is based on the JATS4R recommendations on data citations.

Starting this month, the NIH Manuscript Submission (NIHMS) system will also accept deposits of small datasets accompanying deposits of funded author manuscripts for inclusion of PMC. (Guidance for authors is available in the NIHMS FAQ.)

If you have suggestions on future directions in data for PMC to consider, please let us know at pubmedcentral@ncbi.nlm.nih.gov.

Looking for journal articles with associated data sets? New search filters in PMC and PubMed aim to increase the discoverability of articles with associated data information.

In PMC, users can now search on or append searches with filters to discover articles with specific types of associated data, i.e., to find

1. articles with associated supplementary material, use “has suppdata”[filter];
2. articles that include a data availability or data accessibility statement, use “has data avail”[filter]; or
3. articles that include data citation(s), use “has data citations”[filter]

Alternatively, users can run a search on “has associated data”[filter] to find all articles with any type of data section described above.

In PubMed, users can now search on or append searches with data[filter] to find articles with related data links in either the Secondary Source ID field or the LinkOut – Other Literature Resources field (both located below the abstract). These data links may be to records in other NLM databases (e.g., GenBank) or external data repositories (e.g., figshare, Dryad).

The provision and availability of associated datasets still varies widely from article to article, but it is our hope that this small step helps improve the discoverability of this material and supports wider community efforts to advance science in new directions.

In the NLM Strategic Plan released earlier this year, we noted that “[c]reating efficient ways to link the literature with associated datasets enables knowledge generation and discovery.” To that end, PMC is now aggregating data citations, data availability statements and supplementary materials, as available, in an Associated Data box. This box will only display on articles that have one or more of these features in the article.

To limit your search to records with an Associated Data box, you can use the new "Associated Data" facet on the search results page:

We hope that exposing this content in a consistent format and in an easy to find and easy to access manner, you will more readily find the datasets you need to further accelerate discovery and advance health. As part of our ongoing commitment to making data findable, accessible, interoperable, and re-usable (FAIR), we encourage you to contact us with your feedback on these updates and with any other suggestions you may have for improving discovery of related data in PMC.

In recent years, North Carolina has attracted significant national attention due to numerous health care reforms underway across government and the private sector. These reforms encompass new incentives, new partnerships, and new models of delivering care, and collectively, they have important implications for health care data.

A growing number of small secreted peptides (SSPs) in plants are recognized as important regulatory molecules with roles in processes such as growth, development, reproduction, stress tolerance, and pathogen defense. Recent discoveries further implicate SSPs in regulating root nodule development, which is of particular significance for legumes. SSP-coding genes are frequently overlooked, because genome annotation pipelines generally ignore small open reading frames, which are those most likely to encode SSPs. Also, SSP-coding small open reading frames are often expressed at low levels or only under specific conditions, and thus are underrepresented in non-tissue-targeted or non-condition-optimized RNA-sequencing projects. We previously identified 4,439 SSP-encoding genes in the model legume Medicago truncatula. To support systematic characterization and annotation of these putative SSP-encoding genes, we developed the M. truncatula Small Secreted Peptide Database (MtSSPdb; https://mtsspdb.noble.org/). MtSSPdb currently hosts (1) a compendium of M. truncatula SSP candidates with putative function and family annotations; (2) a large-scale M. truncatula RNA-sequencing-based gene expression atlas integrated with various analytical tools, including differential expression, coexpression, and pathway enrichment analyses; (3) an online plant SSP prediction tool capable of analyzing protein sequences at the genome scale using the same protocol as for the identification of SSP genes; and (4) information about a library of synthetic peptides and root and nodule phenotyping data from synthetic peptide screens in planta. These datasets and analytical tools make MtSSPdb a unique and valuable resource for the plant research community. MtSSPdb also has the potential to become the most complete database of SSPs in plants.

Real geography is continuous, but standard models in population genetics are based on discrete, well-mixed populations. As a result, many methods of analyzing genetic data assume that samples are a random draw from a well-mixed population, but are applied to clustered samples from populations that are structured clinally over space. Here, we use simulations of populations living in continuous geography to study the impacts of dispersal and sampling strategy on population genetic summary statistics, demographic inference, and genome-wide association studies (GWAS). We find that most common summary statistics have distributions that differ substantially from those seen in well-mixed populations, especially when Wright’s neighborhood size is < 100 and sampling is spatially clustered. "Stepping-stone" models reproduce some of these effects, but discretizing the landscape introduces artifacts that in some cases are exacerbated at higher resolutions. The combination of low dispersal and clustered sampling causes demographic inference from the site frequency spectrum to infer more turbulent demographic histories, but averaged results across multiple simulations revealed surprisingly little systematic bias. We also show that the combination of spatially autocorrelated environments and limited dispersal causes GWAS to identify spurious signals of genetic association with purely environmentally determined phenotypes, and that this bias is only partially corrected by regressing out principal components of ancestry. Last, we discuss the relevance of our simulation results for inference from genetic variation in real organisms.

Positive selection causes beneficial alleles to rise to high frequency, resulting in a selective sweep of the diversity surrounding the selected sites. Accordingly, the signature of a selective sweep in an ancestral population may still remain in its descendants. Identifying signatures of selection in the ancestor that are shared among its descendants is important to contextualize the timing of a sweep, but few methods exist for this purpose. We introduce the statistic SS-H12, which can identify genomic regions under shared positive selection across populations and is based on the theory of the expected haplotype homozygosity statistic H12, which detects recent hard and soft sweeps from the presence of high-frequency haplotypes. SS-H12 is distinct from comparable statistics because it requires a minimum of only two populations, and properly identifies and differentiates between independent convergent sweeps and true ancestral sweeps, with high power and robustness to a variety of demographic models. Furthermore, we can apply SS-H12 in conjunction with the ratio of statistics we term and to further classify identified shared sweeps as hard or soft. Finally, we identified both previously reported and novel shared sweep candidates from human whole-genome sequences. Previously reported candidates include the well-characterized ancestral sweeps at LCT and SLC24A5 in Indo-Europeans, as well as GPHN worldwide. Novel candidates include an ancestral sweep at RGS18 in sub-Saharan Africans involved in regulating the platelet response and implicated in sudden cardiac death, and a convergent sweep at C2CD5 between European and East Asian populations that may explain their different insulin responses.