Suppr超能文献

相似文献

1
The tragedy of the biodiversity data commons: a data impediment creeping nigher?
Database (Oxford). 2018 Jan 1;2018. doi: 10.1093/database/bay033.
2
Location, location, location: utilizing pipelines and services to more effectively georeference the world's biodiversity data.
BMC Bioinformatics. 2009 Nov 10;10 Suppl 14(Suppl 14):S3. doi: 10.1186/1471-2105-10-S14-S3.
3
Towards mainstreaming of biodiversity data publishing: recommendations of the GBIF Data Publishing Framework Task Group.
BMC Bioinformatics. 2011;12 Suppl 15(Suppl 15):S1. doi: 10.1186/1471-2105-12-S15-S1. Epub 2011 Dec 15.
4
Towards a data publishing framework for primary biodiversity data: challenges and potentials for the biodiversity informatics community.
BMC Bioinformatics. 2009 Nov 10;10 Suppl 14(Suppl 14):S2. doi: 10.1186/1471-2105-10-S14-S2.
5
False gold: Safely navigating open access publishing to avoid predatory publishers and journals.
J Adv Nurs. 2018 Apr;74(4):809-817. doi: 10.1111/jan.13483. Epub 2017 Nov 17.
6
Meta-analysis: Problems with Russian Publications.
Int J Risk Saf Med. 2015;27 Suppl 1:S89-90. doi: 10.3233/JRS-150702.
7
ZooArchNet: Connecting zooarchaeological specimens to the biodiversity and archaeology data networks.
PLoS One. 2019 Apr 12;14(4):e0215369. doi: 10.1371/journal.pone.0215369. eCollection 2019.
9
Open Science Badges in the Journal of Neurochemistry.
J Neurochem. 2018 Oct;147(2):132-136. doi: 10.1111/jnc.14536. Epub 2018 Aug 1.

引用本文的文献

2
Open Data Practices among Users of Primary Biodiversity Data.
Bioscience. 2021 Aug 18;71(11):1128-1147. doi: 10.1093/biosci/biab072. eCollection 2021 Nov.
4
Measuring epistemic success of a biodiversity citizen science program: A citation study.
PLoS One. 2021 Oct 11;16(10):e0258350. doi: 10.1371/journal.pone.0258350. eCollection 2021.
5
A multitrophic perspective on biodiversity-ecosystem functioning research.
Adv Ecol Res. 2019;61:1-54. doi: 10.1016/bs.aecr.2019.06.001. Epub 2019 Jul 23.
6
Research applications of primary biodiversity databases in the digital age.
PLoS One. 2019 Sep 11;14(9):e0215794. doi: 10.1371/journal.pone.0215794. eCollection 2019.

本文引用的文献

1
Multidimensional biases, gaps and uncertainties in global plant occurrence information.
Ecol Lett. 2016 Aug;19(8):992-1006. doi: 10.1111/ele.12624. Epub 2016 Jun 2.
2
Comment: Making data count.
Sci Data. 2015 Aug 4;2:150039. doi: 10.1038/sdata.2015.39. eCollection 2015.
3
Changes in Data Sharing and Data Reuse Practices and Perceptions among Scientists Worldwide.
PLoS One. 2015 Aug 26;10(8):e0134826. doi: 10.1371/journal.pone.0134826. eCollection 2015.
4
More bang for your byte.
Sci Data. 2014 May 27;1:140010. doi: 10.1038/sdata.2014.10. eCollection 2014.
6
Biodiversity data should be published, cited, and peer reviewed.
Trends Ecol Evol. 2013 Aug;28(8):454-61. doi: 10.1016/j.tree.2013.05.002. Epub 2013 Jun 5.
7
Impact factor distortions.
Science. 2013 May 17;340(6134):787. doi: 10.1126/science.1240319.
9
The data paper: a mechanism to incentivize data publishing in biodiversity science.
BMC Bioinformatics. 2011;12 Suppl 15(Suppl 15):S2. doi: 10.1186/1471-2105-12-S15-S2.
10
Towards mainstreaming of biodiversity data publishing: recommendations of the GBIF Data Publishing Framework Task Group.
BMC Bioinformatics. 2011;12 Suppl 15(Suppl 15):S1. doi: 10.1186/1471-2105-12-S15-S1. Epub 2011 Dec 15.

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验