Summary: List of coral species with codes surveyed at stations from nearshore reefs in Guam in 2014. For a complete list of measurements, refer to the full dataset description in the supplemental file 'Dataset_description.pdf'. The most current version of this dataset is available at: https://www.bco-dmo.org/dataset/639865

Summary: Visual survey of substrate types along transects 10 m x 5 contiguous segments. Substrates were classified along the transects at 50 cm intervals from the nearshore reefs in Guam during 2014. For a complete list of measurements, refer to the full dataset description in the supplemental file 'Dataset_description.pdf'. The most current version of this dataset is available at: https://www.bco-dmo.org/dataset/640007

Summary: Coral surveys from the nearshore reefs in Guam during 2014. For a complete list of measurements, refer to the full dataset description in the supplemental file 'Dataset_description.pdf'. The most current version of this dataset is available at: https://www.bco-dmo.org/dataset/639899

Summary: Temperature and light intensity data from seven locations from the nearshore reefs in Guam, January to August 2014. For a complete list of measurements, refer to the full dataset description in the supplemental file 'Dataset_description.pdf'. The most current version of this dataset is available at: https://www.bco-dmo.org/dataset/640026

Summary: Maximum excitation pressure of Symbiodinium assemblages was assessed as an indicator for holobiont photosynthetic performance of Pocillopora damicornis in shallow (1-2m), back reef and P. eydouxi in deeper fore reef (>3m). For a complete list of measurements, refer to the full dataset description in the supplemental file 'Dataset_description.pdf'. The most current version of this dataset is available at: https://www.bco-dmo.org/dataset/639986

Summary: Coral health survey from the nearshore reefs in Guam during 2014. For a complete list of measurements, refer to the full dataset description in the supplemental file 'Dataset_description.pdf'. The most current version of this dataset is available at: https://www.bco-dmo.org/dataset/639879

Summary:

 

This dataset contains posts from 28 subreddits (15 mental health support groups) from 2018-2020. We used this dataset to understand the impact of COVID-19 on mental health support groups from January to April, 2020 and included older timeframes to obtain baseline posts before COVID-19.

Please cite if you use this dataset:

Low, D. M., Rumker, L., Torous, J., Cecchi, G., Ghosh, S. S., & Talkar, T. (2020). Natural Language Processing Reveals Vulnerable Mental Health Support Groups and Heightened Health Anxiety on Reddit During COVID-19: Observational Study. Journal of medical Internet research, 22(10), e22635.

@article{low2020natural,
  title={Natural Language Processing Reveals Vulnerable Mental Health Support Groups and Heightened Health Anxiety on Reddit During COVID-19: Observational Study},
  author={Low, Daniel M and Rumker, Laurie and Torous, John and Cecchi, Guillermo and Ghosh, Satrajit S and Talkar, Tanya},
  journal={Journal of medical Internet research},
  volume={22},
  number={10},
  pages={e22635},
  year={2020},
  publisher={JMIR Publications Inc., Toronto, Canada}
}

License

This dataset is made available under the Public Domain Dedication and License v1.0 whose full text can be found at: http://www.opendatacommons.org/licenses/pddl/1.0/

It was downloaded using pushshift API. Re-use of this data is subject to Reddit API terms.

 

Reddit Mental Health Dataset

Contains posts and text features for the following timeframes from 28 mental health and non-mental health subreddits:

• 15 specific mental health support groups (r/EDAnonymous, r/addiction, r/alcoholism, r/adhd, r/anxiety, r/autism, r/bipolarreddit, r/bpd, r/depression, r/healthanxiety, r/lonely, r/ptsd, r/schizophrenia, r/socialanxiety, and r/suicidewatch)
• 2 broad mental health subreddits (r/mentalhealth, r/COVID19_support)
• 11 non-mental health subreddits (r/conspiracy, r/divorce, r/fitness, r/guns, r/jokes, r/legaladvice, r/meditation, r/parenting, r/personalfinance, r/relationships, r/teaching).

filenames and corresponding timeframes:

• post: Jan 1 to April 20, 2020 (called "mid-pandemic" in manuscript; r/COVID19_support appears). Unique users: 320,364. 
• pre: Dec 2018 to Dec 2019. A full year which provides more data for a baseline of Reddit posts. Unique users: 327,289.
• 2019: Jan 1 to April 20, 2019 (r/EDAnonymous appears). A control for seasonal fluctuations to match post data. Unique users: 282,560.
• 2018: Jan 1 to April 20, 2018. A control for seasonal fluctuations to match post data. Unique users: 177,089

Unique users across all time windows (pre and 2019 overlap): 826,961.

See manuscript Supplementary Materials (https://doi.org/10.31234/osf.io/xvwcy) for more information.

Note: if subsampling (e.g., to balance subreddits), we recommend bootstrapping analyses for unbiased results.

 

Summary: This dataset includes temperature data from three sites in the Florida Reef Tract, one each in the upper, middle and lower Keys. For a complete list of measurements, refer to the full dataset description in the supplemental file 'Dataset_description.pdf'. The most current version of this dataset is available at: https://www.bco-dmo.org/dataset/699988

Summary: Bleaching, disease, and mortality on A. cervicornis individuals in Elliot Key, Florida during 2014 and 2015 (EMUCoReS project) For a complete list of measurements, refer to the full dataset description in the supplemental file 'Dataset_description.pdf'. The most current version of this dataset is available at: https://www.bco-dmo.org/dataset/709880

Summary: Regional Acropora cervicornis size, mortality, and health condition data during summer bleaching events in 2014 and 2015. For a complete list of measurements, refer to the full dataset description in the supplemental file 'Dataset_description.pdf'. The most current version of this dataset is available at: https://www.bco-dmo.org/dataset/640238

Summary: Growth of Acropora cervicornis fragments were measured before and after three months during the summer bleaching events of 2014 and 2015. For a complete list of measurements, refer to the full dataset description in the supplemental file 'Dataset_description.pdf'. The most current version of this dataset is available at: https://www.bco-dmo.org/dataset/640108

Summary: Coral nursery ("the bowl") water temperatures during summer bleaching events in 2014 and 2015. For a complete list of measurements, refer to the full dataset description in the supplemental file 'Dataset_description.pdf'. The most current version of this dataset is available at: https://www.bco-dmo.org/dataset/640227

Summary: Symbiodinium community composition for individual A. cervicornis from Elliot Key, Florida during 2014 and 2015 (EMUCoReS project) For a complete list of measurements, refer to the full dataset description in the supplemental file 'Dataset_description.pdf'. The most current version of this dataset is available at: https://www.bco-dmo.org/dataset/709909

Summary: Carbonate chemistry and isotopes from nine M/S Columbus Waikato cruises between New Zealand and Long Beach, CA in the Pacific Basin from 2004-2006. This dataset includes dissolved inorganic carbon (DIC), and del13C-DIC. For a complete list of measurements, refer to the full dataset description in the supplemental file 'Dataset_description.pdf'. The most current version of this dataset is available at: https://www.bco-dmo.org/dataset/700907

Summary: Using data from a randomized experiment, we find that poor rural Mexican households invested part of their cash transfers from the Oportunidades program in productive assets, increasing agricultural income by almost 10 percent after 18 months of benefits. We estimate that for each peso transferred, households consume 74 cents and invest the rest, permanently increasing long-term consumption by about 1.6 cents. Results suggest that cash transfers can achieve long-term increases in consumption through investment in productive activities, thereby permitting beneficiary households to attain higher living standards that are sustained even after transitioning off the program.

Summary:

The novel coronavirus (SARS-CoV-2) that has emerged from Wuhan, China in December 2019 has spread to almost all countries in the world causing a dramatic number of deaths. The current absence of antiviral treatment against the SARS-CoV-2 urges the scientific community to accelerate the drug discovery research process.

One way to identify potential treatments and to be able to administer it swiftly is to focus on drug repurposing studies, i.e. to investigate the SARS-CoV-2 antiviral potential of drugs that have already been approved for human use.

Proteins that are crucial for the survival and replication of the virus are the most attractive targets for such studies. Here we have focused on the SARS-CoV-2 RNA dependent RNA polymerase (RdRp) that plays an essential role in the virus replication process by screening ~2000 approved drugs (and 6 experimental ones) against this particular protein.

This is one part of a multi-target screen emphasising the main protease (Mrpo), the RNA-dependent-RNA-polymerase (RdRp) and human ACE2. The other datasets can found at the following locations:

• Mpro: Shape-based assay
• Mpro: Pharmacophore-based assay
• ACE2

More information about this screen along with interactive visualisations of the top compounds can be found on our website bonvinlab.org.

Summary:

The novel coronavirus (SARS-CoV-2) that has emerged from Wuhan, China in December 2019 has spread to almost all countries in the world causing a dramatic number of deaths. The current absence of antiviral treatment against the SARS-CoV-2 urges the scientific community to accelerate the drug discovery research process.

One way to identify potential treatments and to be able to administer it swiftly is to focus on drug repurposing studies, i.e. to investigate the SARS-CoV-2 antiviral potential of drugs that have already been approved for human use.

Proteins that are crucial for the survival and replication of the virus are the most attractive targets for such studies. Here we have focused on the Angiotensin Converting Enzyme 2 receptor (ACE2) that acts as one of the main gateways for viral entry in the host cell. We have screened ~2000 compounds against the inhibitor-bound closed form of the receptor.

This is one part of a multi-target screen emphasising the main protease (Mrpo), the RNA-dependent-RNA-polymerase (RdRp) and human ACE2. The other datasets can found at the following locations:

• Mpro: Shape-based assay
• Mpro: Pharmacophore-based assay
• RdRp

More information about this screen along with interactive visualisations of the top compounds can be found on our website bonvinlab.org.

Summary:

The novel coronavirus (SARS-CoV-2) that has emerged from Wuhan, China in December 2019 has spread to almost all countries in the world causing a dramatic number of deaths. The current absence of antiviral treatment against the SARS-CoV-2 urges the scientific community to accelerate the drug discovery research process.

One way to identify potential treatments and to be able to administer it swiftly is to focus on drug repurposing studies, i.e. to investigate the SARS-CoV-2 antiviral potential of drugs that have already been approved for human use.

Proteins that are crucial for the survival and replication of the virus are the most attractive targets for such studies. Here we have focused on the SARS-CoV-2 main protease (3CLpro) that plays an essential role in the virus replication process by screening ~2000 approved drugs (and 6 experimental ones) against this particular protein using a shape-based assay.

This is one part of a multi-target screen emphasising the main protease (Mrpo), the RNA-dependent-RNA-polymerase (RdRp) and human ACE2. The other datasets can found at the following locations:

• Mpro: Pharmacophore-based assay
• ACE2
• RdRp

More information about this screen along with interactive visualisations of the top compounds can be found on our website bonvinlab.org.

Summary:

The DataUp source code package includes three components: (1) the Excel add-in; (2) the public web client; and (3) the private web service that mediates between the add-in and client and the ONEShare repository.  All code is written in C# and relies on the .NET framework.

Summary: We study employers' perceptions of the value of postsecondary degrees using a field experiment. We randomly assign the sector and selectivity of institutions to fictitious resumes and apply to real vacancy postings for business and health jobs on a large online job board. We find that a business bachelor's degree from a for-profit online institution is 22 percent less likely to receive a callback than one from a nonselective public institution. In applications to health jobs, we find that for-profit credentials receive fewer callbacks unless the job requires an external quality indicator such as an occupational license.