cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.1385354.v3
title: Assessment of the Acute and Chronic Health Hazards of Hydraulic Fracturing Fluids

description: There is growing concern about how hydraulic fracturing affects public health because this activity involves handling large volumes of fluids that contain toxic and carcinogenic constituents, which are injected under high pressure through wells into the subsurface to release oil and gas from tight shale formations. The constituents of hydraulic fracturing fluids (HFFs) present occupational health risks because workers may be directly exposed to them, and general public health risks because of potential air and water contamination. Hazard identification, which focuses on the types of toxicity that substances may cause, is an important step in the complex health risk assessment of hydraulic fracturing. This article presents a practical and adaptable tool for the hazard identification of HFF constituents, and its use in the analysis of HFF constituents reported to be used in 2,850 wells in North Dakota between December 2009 and November 2013. Of the 569 reported constituents, 347 could be identified by a Chemical Service Registration Number (CASRN) and matching constituent name. The remainder could not be identified either because of trade secret labeling (210) or because of an invalid CASRN (12). Eleven public databases were searched for health hazard information on thirteen health hazard endpoints for 168 identifiable constituents that had at least 25 reports of use. Health hazard counts were generated for chronic and acute endpoints, including those associated with oral, inhalation, ocular, and dermal exposure. Eleven of the constituents listed in the top 30 by total health hazard count were also listed in the top 30 by reports of use. This includes naphthalene, which along with benzyl chloride, has the highest health hazard count. The top 25 constituents reportedly used in North Dakota largely overlap with those reported for Texas and Pennsylvania, despite different geologic formations, target resources (oil vs. gas), and disclosure requirements. Altogether, this database provides a public health tool to help inform stakeholders about potential health hazards, and to aid in the reformulation of less hazardous HFFs.
DOI: 10.6084/m9.figshare.1385354.v2
title: Assessment of the Acute and Chronic Health Hazards of Hydraulic Fracturing Fluids

description: There is growing concern about how hydraulic fracturing affects public health because this activity involves handling large volumes of fluids that contain toxic and carcinogenic constituents, which are injected under high pressure through wells into the subsurface to release oil and gas from tight shale formations. The constituents of hydraulic fracturing fluids (HFFs) present occupational health risks because workers may be directly exposed to them, and general public health risks because of potential air and water contamination. Hazard identification, which focuses on the types of toxicity that substances may cause, is an important step in the complex health risk assessment of hydraulic fracturing. This article presents a practical and adaptable tool for the hazard identification of HFF constituents, and its use in the analysis of HFF constituents reported to be used in 2,850 wells in North Dakota between December 2009 and November 2013. Of the 569 reported constituents, 347 could be identified by a Chemical Service Registration Number (CASRN) and matching constituent name. The remainder could not be identified either because of trade secret labeling (210) or because of an invalid CASRN (12). Eleven public databases were searched for health hazard information on thirteen health hazard endpoints for 168 identifiable constituents that had at least 25 reports of use. Health hazard counts were generated for chronic and acute endpoints, including those associated with oral, inhalation, ocular, and dermal exposure. Eleven of the constituents listed in the top 30 by total health hazard count were also listed in the top 30 by reports of use. This includes naphthalene, which along with benzyl chloride, has the highest health hazard count. The top 25 constituents reportedly used in North Dakota largely overlap with those reported for Texas and Pennsylvania, despite different geologic formations, target resources (oil vs. gas), and disclosure requirements. Altogether, this database provides a public health tool to help inform stakeholders about potential health hazards, and to aid in the reformulation of less hazardous HFFs.
DOI: 10.6084/m9.figshare.1385337
title: Cardiac β-adrenoceptor Expression is Reduced in Zucker Diabetic Fatty Rats as Type-2 Diabetes Progresses

description: Animal Model, Biodistribution, Western Blotting Files.<br><br>Imported visual sonic files for echocardiography at 10 and 16 weeks of age.<br><br>Plate assay and RIA data. Analysis for: free fatty acids, insulin, leptin, and HOMAIR modelling.
DOI: 10.6084/m9.figshare.1385337.v1
title: Cardiac β-adrenoceptor Expression is Reduced in Zucker Diabetic Fatty Rats as Type-2 Diabetes Progresses

description: Animal Model, Biodistribution, Western Blotting Files.<br><br>Imported visual sonic files for echocardiography at 10 and 16 weeks of age.<br><br>Plate assay and RIA data. Analysis for: free fatty acids, insulin, leptin, and HOMAIR modelling.
DOI: 10.6084/m9.figshare.1385315
title: Multilabel datasets from Stack Exchange forums

description: Set of six multilabel datasets produced from their respective Stack Exchange forums. CC BY-SA
DOI: 10.6084/m9.figshare.1385315.v1
title: Multilabel datasets from Stack Exchange forums

description: Set of six multilabel datasets produced from their respective Stack Exchange forums. CC BY-SA
DOI: 10.6084/m9.figshare.1385300
title: DOE can pioneer a 21st Century cloud-based science workflow ecosystem; in so doing, it will transform and accelerate discovery

description: In this two-page white paper prepared for a US Department of Energy workshop on scientific workflow, I make two main points: 1) A research program in scientific workflow can deliver transformational new methods that accelerate discovery across the entire scientific enterprise. 2) DOE has the opportunity to lead the scientific community to a new era of 21st Century workflow based on massive outsourcing of activities to cloud services.
DOI: 10.6084/m9.figshare.1385301
title: Workflows at experimental facilities: Use cases from the Advanced Photon Source

description: A two-page white paper developed for a DOE workshop on challenges for science workflows. We use three application pilots from Argonne’s Advanced Photon Source to illustrate some of the opportunities inherent in coupling experiment and computation.
DOI: 10.6084/m9.figshare.1385297
title: Analysis of Battleground State Presidential Polling Performances, 2004–2012

description: This article explores the performance of major political polls as reported on a well-known political website. The presidential elections of 2004, 2008, and 2012 are examined, and polling results for battleground states are compared to the actual margins in each state. These data are combined into an analysis of variance (ANOVA) model and differences in the various polls assessed. No significant differences in polls were found in 2004 or 2008. In contrast, very large differences were found in 2012, and all polls were found to underestimate President Obama’s performance in the battleground states. In addition to individual polling results, a model using the statewide and national polling data from all polls is created. These results are compared to the established polls. We present a possible explanation as to why the polls in the recent (2012) election are all biased toward the Republican side.
DOI: 10.6084/m9.figshare.1385300.v1
title: DOE can pioneer a 21st Century cloud-based science workflow ecosystem; in so doing, it will transform and accelerate discovery

description: In this two-page white paper prepared for a US Department of Energy workshop on scientific workflow, I make two main points: 1) A research program in scientific workflow can deliver transformational new methods that accelerate discovery across the entire scientific enterprise. 2) DOE has the opportunity to lead the scientific community to a new era of 21st Century workflow based on massive outsourcing of activities to cloud services.
DOI: 10.6084/m9.figshare.1385301.v1
title: Workflows at experimental facilities: Use cases from the Advanced Photon Source

description: A two-page white paper developed for a DOE workshop on challenges for science workflows. We use three application pilots from Argonne’s Advanced Photon Source to illustrate some of the opportunities inherent in coupling experiment and computation.
DOI: 10.6084/m9.figshare.1385253
title: Southern Ocean Satellite Data Requirements Survey Responses

description: Full responses to a SOOS/CliC community survey on Southern Ocean satellite needs. The survey was originally embedded at http://www.climate-cryosphere.org/activities/targeted/so-sat-req These answers are published in tandem to a summary community report (Pope et al., Antarctic Science).
DOI: 10.6084/m9.figshare.1385218
title: HBM : Hierarchical GST partitioning and Outlier detection (BUGS encoded)

description: HBM : Bayesian Hierarchical GST partitioning and Outlier detection
DOI: 10.6084/m9.figshare.1385253.v1
title: Southern Ocean Satellite Data Requirements Survey Responses

description: Full responses to a SOOS/CliC community survey on Southern Ocean satellite needs. The survey was originally embedded at http://www.climate-cryosphere.org/activities/targeted/so-sat-req These answers are published in tandem to a summary community report (Pope et al., Antarctic Science).
DOI: 10.6084/m9.figshare.1385297.v2
title: Analysis of Battleground State Presidential Polling Performances, 2004–2012

description: This article explores the performance of major political polls as reported on a well-known political website. The presidential elections of 2004, 2008, and 2012 are examined, and polling results for battleground states are compared to the actual margins in each state. These data are combined into an analysis of variance (ANOVA) model and differences in the various polls assessed. No significant differences in polls were found in 2004 or 2008. In contrast, very large differences were found in 2012, and all polls were found to underestimate President Obama’s performance in the battleground states. In addition to individual polling results, a model using the statewide and national polling data from all polls is created. These results are compared to the established polls. We present a possible explanation as to why the polls in the recent (2012) election are all biased toward the Republican side.
DOI: 10.6084/m9.figshare.1385297.v1
title: Analysis of Battleground State Presidential Polling Performances, 2004–2012

description: This paper explores the performance of major political polls as reported on a well-known political website. The presidential elections of 2004, 2008, and 2012 are examined, and polling results for battleground states are compared to the actual margins in each state. These data are combined into an ANOVA model and differences in the various polls assessed. No significant differences in polls were found in 2004 or 2008. In contrast, very large differences were found in 2012, and all polls were found to underestimate President Obama's performance in the battleground states. In addition to individual polling results, a model utilizing the statewide and national polling data from all polls is created. These results are compared to the established polls. A possible explanation as to why the polls in the recent (2012) election are all biased toward the Republican side is presented.
DOI: 10.6084/m9.figshare.1385214
title: Bayesian GST inference (BUGS encoded)

description: Bayesian inference of pairwise GSTs
DOI: 10.6084/m9.figshare.1385210
title: Supplementary Figure 5.

description: mRNA level of potential targets in gastric cancer cell lines comparing with normal stomach tissue.
DOI: 10.6084/m9.figshare.1385211
title: Supplementary Table 1.

description: Plasma miR-940 in male and female patients without metastasi
DOI: 10.6084/m9.figshare.1385207
title: Supplementary Figure2.

description: Evaluation of expression of miR-199a-5p in plasma samples and tissue samples.
DOI: 10.6084/m9.figshare.1385207.v2
title: Supplementary Figure2.

description: Evaluation of expression of miR-199a-5p in plasma samples and tissue samples.
DOI: 10.6084/m9.figshare.1385210.v1
title: Supplementary Figure1.

description: Dysregulated miRNAs between patients with gastric cancer and healthy controls released from miRCURY LNATM microRNA array.
DOI: 10.6084/m9.figshare.1385207.v1
title: Supplementary Figure2.

description: Evaluation of expression of miR-199a-5p in plasma samples and tissue samples.
DOI: 10.6084/m9.figshare.1385211.v1
title: Supplementary Table 1.

description: Plasma miR-940 in male and female patients without metastasi
DOI: 10.6084/m9.figshare.1385210.v2
title: Supplementary Figure 5.

description: Dysregulated miRNAs between patients with gastric cancer and healthy controls released from miRCURY LNATM microRNA array.
DOI: 10.6084/m9.figshare.1385184
title: PAO1 induces the ISR and UPR

description: Online repository data of manuscript "PAO1 induces the ISR and UPR".
DOI: 10.6084/m9.figshare.1385109
title: Supplementary Mathematica code for Kindsvater and Otto 2014

description: Mathematica notebook showing the proofs and code for generating figures in Kindsvater and Otto (2014) <em>Am Nat</em>
DOI: 10.6084/m9.figshare.1385109.v1
title: Supplementary Mathematica code for Kindsvater and Otto 2014

description: Mathematica notebook showing the proofs and code for generating figures in Kindsvater and Otto (2014) <em>Am Nat</em>
DOI: 10.6084/m9.figshare.1385184.v1
title: PAO1 induces the ISR and UPR

description: Online repository data of manuscript "PAO1 induces the ISR and UPR".
DOI: 10.6084/m9.figshare.1385061
title: I Like, I Cite? Do Facebook Likes Predict the Impact of Scientific Work?

description: Due to the increasing amount of scientific work and the typical delays in publication, promptly assessing the impact of scholarly work is a huge challenge. To meet this challenge, one solution may be to create and discover innovative indicators. The goal of this paper is to investigate whether Facebook likes for unpublished manuscripts that are uploaded to the Internet could be used as an early indicator of the future impact of the scientific work. To address our research question, we compared Facebook likes for manuscripts uploaded to the Harvard Business School website (Study 1) and the bioRxiv website (Study 2) with traditional impact indicators (journal article citations, Impact Factor, Immediacy Index) for those manuscripts that have been published as a journal article. Although based on our full sample of Study 1 (N = 170), Facebook likes do not predict traditional impact indicators, for manuscripts with one or more Facebook likes (n = 95), our results indicate that the more Facebook likes a manuscript receives, the more journal article citations the manuscript receives. In additional analyses (for which we categorized the manuscripts as psychological and non-psychological manuscripts), we found that the significant prediction of citations stems from the psychological and not the non-psychological manuscripts. In study 2, we observed that Facebook likes (N = 270) and non-zero Facebook likes (n = 84) do not predict traditional impact indicators. Taken together, our findings indicate an interdisciplinary difference in the predictive value of Facebook likes, according to which Facebook likes only predict citations in the psychological area but not in the non-psychological area of business or in the field of life sciences. Our paper contributes to understanding the possibilities and limits of the use of social media indicators as potential early indicators of the impact of scientific work.
DOI: 10.6084/m9.figshare.1385061.v1
title: I Like, I Cite? Do Facebook Likes Predict the Impact of Scientific Work?

description: Due to the increasing amount of scientific work and the typical delays in publication, promptly assessing the impact of scholarly work is a huge challenge. To meet this challenge, one solution may be to create and discover innovative indicators. The goal of this paper is to investigate whether Facebook likes for unpublished manuscripts that are uploaded to the Internet could be used as an early indicator of the future impact of the scientific work. To address our research question, we compared Facebook likes for manuscripts uploaded to the Harvard Business School website (Study 1) and the bioRxiv website (Study 2) with traditional impact indicators (journal article citations, Impact Factor, Immediacy Index) for those manuscripts that have been published as a journal article. Although based on our full sample of Study 1 (N = 170), Facebook likes do not predict traditional impact indicators, for manuscripts with one or more Facebook likes (n = 95), our results indicate that the more Facebook likes a manuscript receives, the more journal article citations the manuscript receives. In additional analyses (for which we categorized the manuscripts as psychological and non-psychological manuscripts), we found that the significant prediction of citations stems from the psychological and not the non-psychological manuscripts. In study 2, we observed that Facebook likes (N = 270) and non-zero Facebook likes (n = 84) do not predict traditional impact indicators. Taken together, our findings indicate an interdisciplinary difference in the predictive value of Facebook likes, according to which Facebook likes only predict citations in the psychological area but not in the non-psychological area of business or in the field of life sciences. Our paper contributes to understanding the possibilities and limits of the use of social media indicators as potential early indicators of the impact of scientific work.
DOI: 10.6084/m9.figshare.1385016
title: Dataset - Quality of inpatient pediatric case management at six government-run Ugandan hospitals

description: Data collected from a standardized, individual-level medical record form (MRF) used at six government-run Ugandan hospitals. The MRF captures clinical signs and symptoms, diagnostic testing, diagnoses rendered, and treatments given for each inpatient pediatric admission
DOI: 10.6084/m9.figshare.1384986
title: Gaussian Job Archive for C6H6Br6

description: Archive of work produced using the resources of the Imperial College High Performance Computing Service.
DOI: 10.6084/m9.figshare.1385003
title: Data of "When a silhouette appears male: Observer

description: Categorization bias in social cognition is widely observed, as it is more beneficial to commit low-risk biases in order to reduce high-risk biases. In this context, a short age of the capacity to protect oneself when at high risk of approaching potentially harmful others, and hence, physical load and low physical fitness, are considered to be disadvantageous in self-protection. Thus, we hypothesized that a low capacity to self-protect leads to a biased social categorization of others as harmful. To examine this hypothesis, silhouettes of the human body, which had a sexually dimorphic cue (waist-to-hip ratio), were presented, and participants categorized the stimuli as female or male. Participants’ basic physical fitness was measured, and we manipulated physical load by a heavy or light backpack. Physical load did not significantly influence categorization. In contrast, only female participants tended to categorize the stimuli as male as basic physical fitness increased, suggesting that basic physical fitness, not physical load, affects sex categorization for females. Our findings shed new light on the effect of fitness factors on social cognition.
DOI: 10.6084/m9.figshare.1384981
title: Gaussian Job Archive for C6H6Br6

description: Archive of work produced using the resources of the Imperial College High Performance Computing Service.
DOI: 10.6084/m9.figshare.1384981.v1
title: Gaussian Job Archive for C6H6Br6

description: Archive of work produced using the resources of the Imperial College High Performance Computing Service.
DOI: 10.6084/m9.figshare.1384986.v1
title: Gaussian Job Archive for C6H6Br6

description: Archive of work produced using the resources of the Imperial College High Performance Computing Service.
DOI: 10.6084/m9.figshare.1385016.v1
title: Dataset - Quality of inpatient pediatric case management at six government-run Ugandan hospitals

description: Data collected from a standardized, individual-level medical record form (MRF) used at six government-run Ugandan hospitals. The MRF captures clinical signs and symptoms, diagnostic testing, diagnoses rendered, and treatments given for each inpatient pediatric admission
DOI: 10.6084/m9.figshare.1384949
title: Seven UCI datasets_PLOS_ONE_PONE-D-14-52198R1

description: seven UCI datasets
DOI: 10.6084/m9.figshare.1385003.v1
title: data

description: Categorization bias in social cognition is widely observed, as it is more beneficial to commit low-risk biases in order to reduce high-risk biases. In this context, a short age of the capacity to protect oneself when at high risk of approaching potentially harmful others, and hence, physical load and low physical fitness, are considered to be disadvantageous in self-protection. Thus, we hypothesized that a low capacity to self-protect leads to a biased social categorization of others as harmful. To examine this hypothesis, silhouettes of the human body, which had a sexually dimorphic cue (waist-to-hip ratio), were presented, and participants categorized the stimuli as female or male. Participants’ basic physical fitness was measured, and we manipulated physical load by a heavy or light backpack. Physical load did not significantly influence categorization. In contrast, only female participants tended to categorize the stimuli as male as basic physical fitness increased, suggesting that basic physical fitness, not physical load, affects sex categorization for females. Our findings shed new light on the effect of fitness factors on social cognition.
DOI: 10.6084/m9.figshare.1385003.v3
title: Data of "When a silhouette appears male: Observer

description: Categorization bias in social cognition is widely observed, as it is more beneficial to commit low-risk biases in order to reduce high-risk biases. In this context, a short age of the capacity to protect oneself when at high risk of approaching potentially harmful others, and hence, physical load and low physical fitness, are considered to be disadvantageous in self-protection. Thus, we hypothesized that a low capacity to self-protect leads to a biased social categorization of others as harmful. To examine this hypothesis, silhouettes of the human body, which had a sexually dimorphic cue (waist-to-hip ratio), were presented, and participants categorized the stimuli as female or male. Participants’ basic physical fitness was measured, and we manipulated physical load by a heavy or light backpack. Physical load did not significantly influence categorization. In contrast, only female participants tended to categorize the stimuli as male as basic physical fitness increased, suggesting that basic physical fitness, not physical load, affects sex categorization for females. Our findings shed new light on the effect of fitness factors on social cognition.
DOI: 10.6084/m9.figshare.1384897
title: Gaussian Job Archive for C6H6Br10

description: Archive of work produced using the resources of the Imperial College High Performance Computing Service.
DOI: 10.6084/m9.figshare.1384949.v2
title: Seven UCI datasets_PLOS_ONE_PONE-D-14-52198R1

description: seven UCI datasets