Dataset

This dataset was created by Felipe Navarro

Released under Database: Open Database, Contents: Database Contents

Contents

EudraGMDP is the name for the Union database referred to in article 111(6) of Directive 2001/83/EC and article 80(6) of Directive 2001/82/EC.

It contains the following information:

• Manufacturing and import authorisations
• Good Manufacturing Practice (GMP) certificates.
• Statements of non-compliance with GMP
• GMP inspection planning in third countries
• Wholesale Distribution Authorisations
• Good Distribution Certificates (GDP)
• Statements of non-compliance with GDP
• Registration of manufacturers, importers and distributors of active substances for human use located in the EEA

The dataset includes responses from approximately 550 participants to survey questions about trust in images labeled with AI-related tags, compared to other images found online. The questions also explore how the type of label influences their trust.

This study estimates the effect of data sharing on the citations of academic articles, using journal policies as a natural experiment. We begin by examining 17 high-impact journals that have adopted the requirement that data from published articles be publicly posted. We match these 17 journals to 13 journals without policy changes and find that empirical articles published just before their change in editorial policy have citation rates with no statistically significant difference from those published shortly after the shift. We then ask whether this null result stems from poor compliance with data sharing policies, and use the data sharing policy changes as instrumental variables to examine more closely two leading journals in economics and political science with relatively strong enforcement of new data policies. We find that articles that make their data available receive 97 additional citations (estimate standard error of 34). We conclude that: a) authors who share data may be rewarded eventually with additional scholarly citations, and b) data-posting policies alone do not increase the impact of articles published in a journal unless those policies are enforced.

This article presents an original database on international standards, constructed using modern data gathering methods. StanDat facilitates studies into the role of standards in the global political economy by (1) being a source for descriptive statistics, (2) enabling researchers to assess scope conditions of previous findings, and (3) providing data for new analyses, for example the exploration of the relationship between standardization and trade, as demonstrated in this article. The creation of StanDat aims to stimulate further research into the domain of standards. Moreover, by exemplifying data collection and dissemination techniques applicable to investigating less-explored subjects in the social sciences, it serves as a model for gathering, systematizing and sharing data in areas where information is plentiful yet not readily accessible for research.

15 Global import shipment records of Shirt Article with prices, volume & current Buyer's suppliers relationships based on actual Global export trade database.

7870 Global import shipment records of Article Code with prices, volume & current Buyer's suppliers relationships based on actual Global export trade database.

This dataset supports the following publication: "Solar and sensor geometry, not vegetation response, drive satellite NDVI phenology in widespread ecosystems of the western United States" (DOI:10.1016/j.rse.2020.112013). The data release allows users to replicate, test, or further explore results. The dataset consists of 4 separate items based on the analysis approach used in the original publication 1) the 'Phenocam' dataset uses images from a phenocam in a pinyon juniper ecosystem in Grand Canyon National Park to determine phenological patterns of multiple plant species. The 'Phenocam' dataset consists of scripts and tabular data developed while performing analyses and includes the final NDVI values for all areas of interest (AOIs) described in the associated publication. 2) the 'SolarSensorAnalysis' dataset uses downloaded tabular MODIS data to explore relationships between NDVI and multiple solar and sensor angles. The 'SolarSensorAnalysis' dataset consists of download and analysis scripts in Google Earth Engine and R. The source MODIS data used in the analysis are too large to include but are provided through MODIS providers and can be accessed through Google Earth Engine using the included script. A csv file includes solar and sensor angle information for the MODIS pixel closest to the phenocam as well as for a sample of 100 randomly selected MODIS pixels within the GRCA-PJ ecosystem. 3) the 'WinterPeakExtent' dataset includes final geotiffs showing the temporal frequency extent and associated vegetation physiognomic types experiencing winter NDVI peaks in the western US. 4) the "SensorComparison" dataset contains the NDVI time series at the phenocam location from 4 other satellites as well as the code used to download these data.

Selection, recodification and creation of fields based on the V-Dem-CPD-Party-V2 database, for the article "Populism is Truly Advanced in the World?"

List of Top Authors of Journal of Big Data sorted by article citations.

China Other Daily Sundry Article: Account Receivable data was reported at 9.647 RMB bn in Oct 2015. This records an increase from the previous number of 9.364 RMB bn for Sep 2015. China Other Daily Sundry Article: Account Receivable data is updated monthly, averaging 7.258 RMB bn from Dec 2003 (Median) to Oct 2015, with 97 observations. The data reached an all-time high of 9.781 RMB bn in Jul 2015 and a record low of 2.043 RMB bn in Dec 2003. China Other Daily Sundry Article: Account Receivable data remains active status in CEIC and is reported by National Bureau of Statistics. The data is categorized under China Premium Database’s Industrial Sector – Table CN.BIM: Daily Sundry Article: Other Daily Sundry Article.

The supplementary material includes the original and reduced spectrum auction BPMN models, the original and the reduced spectrum auction Petri Nets, and the verification results for Article "Reduction of Data-Value-Aware Process Models based on Relevance".

China Other Daily Sundry Article: YoY: Product Inventory data was reported at 14.061 % in Oct 2015. This records an increase from the previous number of 11.419 % for Sep 2015. China Other Daily Sundry Article: YoY: Product Inventory data is updated monthly, averaging 10.963 % from Jan 2006 (Median) to Oct 2015, with 89 observations. The data reached an all-time high of 43.130 % in Feb 2008 and a record low of -3.172 % in May 2013. China Other Daily Sundry Article: YoY: Product Inventory data remains active status in CEIC and is reported by National Bureau of Statistics. The data is categorized under China Premium Database’s Industrial Sector – Table CN.BIM: Daily Sundry Article: Other Daily Sundry Article.

Slovakia Imports from Netherlands of Statuettes and other ornamental ceramic articles was US$95.25 Thousand during 2024, according to the United Nations COMTRADE database on international trade. Slovakia Imports from Netherlands of Statuettes and other ornamental ceramic articles - data, historical chart and statistics - was last updated on November of 2025.

China Exports of other made textile articles, sets, worn clothing was US$34.45 Billion during 2024, according to the United Nations COMTRADE database on international trade. China Exports of other made textile articles, sets, worn clothing - data, historical chart and statistics - was last updated on November of 2025.

China Daily Sundry Article: YoY: Product Inventory data was reported at 17.015 % in Oct 2015. This records an increase from the previous number of 12.559 % for Sep 2015. China Daily Sundry Article: YoY: Product Inventory data is updated monthly, averaging 8.572 % from Jan 2012 (Median) to Oct 2015, with 46 observations. The data reached an all-time high of 17.108 % in Apr 2012 and a record low of -3.575 % in May 2013. China Daily Sundry Article: YoY: Product Inventory data remains active status in CEIC and is reported by National Bureau of Statistics. The data is categorized under China Premium Database’s Industrial Sector – Table CN.BIM: Other Manufacturing: Daily Sundry Article.

Brazil Exports of statuettes and other ornamental ceramic articles to Iceland was US$1.27 Thousand during 2022, according to the United Nations COMTRADE database on international trade. Brazil Exports of statuettes and other ornamental ceramic articles to Iceland - data, historical chart and statistics - was last updated on October of 2025.

The dataset was made in an attempt to investigate the state of information policy - the sum of principles guiding decisions about information - in archaeology and related areas. The aim of the study was to shed light on how information policy directs practice in archaeology, and to show that analysis of such policies is therefore vital.

Information policy in legislation and guidelines in Swedish archaeology serves as a case study, and examples from development-led archaeology and the museum sector illustrate how information policies have varied roles across different heritage sectors. There are historical and local trajectories in the policy documents specific to Sweden, but the discussion shows that the emergence of Swedish policies have many parallels with processes in other countries. The article provides recommendations for information policy development for archaeology and related areas.

See article "Information Policy for (Digital) Information in Archaeology: current state and suggestions for development" by Börjesson et al (2015) for further information.

The dataset was originally published in DiVA and moved to SND in 2024.

This is a database snapshot of the iCite web service (provided here as a single zipped CSV file, or compressed, tarred JSON files). In addition, citation links in the NIH Open Citation Collection are provided as a two-column CSV table in open_citation_collection.zip. iCite provides bibliometrics and metadata on publications indexed in PubMed, organized into three modules:

Influence: Delivers metrics of scientific influence, field-adjusted and benchmarked to NIH publications as the baseline.

Translation: Measures how Human, Animal, or Molecular/Cellular Biology-oriented each paper is; tracks and predicts citation by clinical articles

Open Cites: Disseminates link-level, public-domain citation data from the NIH Open Citation Collection

Definitions for individual data fields:

pmid: PubMed Identifier, an article ID as assigned in PubMed by the National Library of Medicine

doi: Digital Object Identifier, if available

year: Year the article was published

title: Title of the article

authors: List of author names

journal: Journal name (ISO abbreviation)

is_research_article: Flag indicating whether the Publication Type tags for this article are consistent with that of a primary research article

relative_citation_ratio: Relative Citation Ratio (RCR)--OPA's metric of scientific influence. Field-adjusted, time-adjusted and benchmarked against NIH-funded papers. The median RCR for NIH funded papers in any field is 1.0. An RCR of 2.0 means a paper is receiving twice as many citations per year than the median NIH funded paper in its field and year, while an RCR of 0.5 means that it is receiving half as many citations per year. Calculation details are documented in Hutchins et al., PLoS Biol. 2016;14(9):e1002541.

provisional: RCRs for papers published in the previous two years are flagged as "provisional", to reflect that citation metrics for newer articles are not necessarily as stable as they are for older articles. Provisional RCRs are provided for papers published previous year, if they have received with 5 citations or more, despite being, in many cases, less than a year old. All papers published the year before the previous year receive provisional RCRs. The current year is considered to be the NIH Fiscal Year which starts in October. For example, in July 2019 (NIH Fiscal Year 2019), papers from 2018 receive provisional RCRs if they have 5 citations or more, and all papers from 2017 receive provisional RCRs. In October 2019, at the start of NIH Fiscal Year 2020, papers from 2019 receive provisional RCRs if they have 5 citations or more and all papers from 2018 receive provisional RCRs.

citation_count: Number of unique articles that have cited this one

citations_per_year: Citations per year that this article has received since its publication. If this appeared as a preprint and a published article, the year from the published version is used as the primary publication date. This is the numerator for the Relative Citation Ratio.

field_citation_rate: Measure of the intrinsic citation rate of this paper's field, estimated using its co-citation network.

expected_citations_per_year: Citations per year that NIH-funded articles, with the same Field Citation Rate and published in the same year as this paper, receive. This is the denominator for the Relative Citation Ratio.

nih_percentile: Percentile rank of this paper's RCR compared to all NIH publications. For example, 95% indicates that this paper's RCR is higher than 95% of all NIH funded publications.

human: Fraction of MeSH terms that are in the Human category (out of this article's MeSH terms that fall into the Human, Animal, or Molecular/Cellular Biology categories)

animal: Fraction of MeSH terms that are in the Animal category (out of this article's MeSH terms that fall into the Human, Animal, or Molecular/Cellular Biology categories)

molecular_cellular: Fraction of MeSH terms that are in the Molecular/Cellular Biology category (out of this article's MeSH terms that fall into the Human, Animal, or Molecular/Cellular Biology categories)

x_coord: X coordinate of the article on the Triangle of Biomedicine

y_coord: Y Coordinate of the article on the Triangle of Biomedicine

is_clinical: Flag indicating that this paper meets the definition of a clinical article.

cited_by_clin: PMIDs of clinical articles that this article has been cited by.

apt: Approximate Potential to Translate is a machine learning-based estimate of the likelihood that this publication will be cited in later clinical trials or guidelines. Calculation details are documented in Hutchins et al., PLoS Biol. 2019;17(10):e3000416.

cited_by: PMIDs of articles that have cited this one.

references: PMIDs of articles in this article's reference list.

Large CSV files are zipped using zip version 4.5, which is more recent than the default unzip command line utility in some common Linux distributions. These files can be unzipped with tools that support version 4.5 or later such as 7zip.

Comments and questions can be addressed to iCite@mail.nih.gov

This dataset includes google scholar articles listing on data mining, this is very helpful in many educational research works. This dataset contains 936 unique entries. including title, description, author names, article link, cited by and related articles.