cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.16821298.v1
title: Data.rar

description: This study aimed to characterize the phenological cycle of bracken fern using NDVI and EVI2 time series data derived from Sentinel-2 sensor. The TIMESAT program was used for removing low quality data values, model fitting and for extracting bracken fern phenological metrics. The Sentinel-2 satellite-derived phenological metrics were compared with the corresponding bracken fern phenological events observed on the ground. Findings from our study revealed that bracken fern phenological metrics estimated from satellite data were in close agreement with ground observed phenological events with R<sup>2 </sup>values ranging from 0.53 – 0.85 (<i>p &lt; 0.05</i>). Although they are comparable, our study shows that NDVI and EVI2 differ in their ability to track the phenological cycle of bracken fern. Overall, EVI2 performed better in estimating bracken fern phenological metrics as it related more to ground observed phenological events compared to NDVI. The key phenological metrics extracted in this study are critical for improving the precision in the controlling of the spread of bracken fern as well as in implementing active protection strategies against the invasion of highly susceptible rangelands.
DOI: 10.25345/c5bz89
title: MassIVE MSV000088236 - Spatially and cell-type resolved quantitative proteomic atlas of healthy human skin
title: Human skin provides both physical integrity and immunological protection from the external environment, using functionally distinct layers, cell types and extracellular matrix. Despite its central role in human health and disease, the constituent proteins of skin have not been systematically characterized. Here, we combined advanced tissue dissection methods, flow cytometry and state-of-the-art proteomics to describe a spatially-resolved quantitative proteomic atlas of human skin. We quantified 10,701 proteins as a function of their spatial location and cellular origin. The resulting protein atlas and our initial data analyses demonstrate the value of proteomics for understanding cell-type diversity within the skin. We describe here the quantitative distribution of structural proteins, known and novel proteins specific to cellular subsets and those with specialized immunological funtions such as cytokines and chemokines. We anticipate this proteomic atlas of human skin will become an essential community resource for basic and translational research (www.skin.science).
DOI: 10.5517/ccdc.csd.cc28rqd5
title: CCDC 2108167: Experimental Crystal Structure Determination

description: Related Article: S. Shapovalov, O. Tikhonova, I. Skabitsky|2021|Acta Crystallogr.,Sect.E:Cryst.Commun.|77|1014|doi:10.1107/S2056989021009270
DOI: 10.5517/ccdc.csd.cc28rqf6
title: CCDC 2108168: Experimental Crystal Structure Determination

description: Related Article: S. Shapovalov, O. Tikhonova, I. Skabitsky|2021|Acta Crystallogr.,Sect.E:Cryst.Commun.|77|1014|doi:10.1107/S2056989021009270
DOI: 10.5517/ccdc.csd.cc26kwm9
title: CCDC 2042981: Experimental Crystal Structure Determination

description: Related Article: L.H. Conrad-Marut, E.W. Reinheimer, A.R. Johnson|2021|Acta Crystallogr.,Sect.E:Cryst.Commun.|77|1010|doi:10.1107/S2056989021009336
DOI: 10.5517/ccdc.csd.cc24tzzy
title: CCDC 1991191: Experimental Crystal Structure Determination

description: Related Article: A. Ponnuvel, A.P. Kala, K.S. Nagaraja, C. Karnan|2021|Acta Crystallogr.,Sect.E:Cryst.Commun.|77|1019|doi:10.1107/S2056989021009324
DOI: 10.6084/m9.figshare.16746052
title: Proliferation suppressors network - Discovery of putative tumor suppressors from CRISPR screens reveals rewired lipid metabolism in acute myeloid leukemia cells

description: Folder contains cytoscape files of proliferation suppressor network visualization. Includes a combined network, and a distinct network shown between figure 2, and supplemental figure 4.<br>
DOI: 10.6084/m9.figshare.16746052.v1
title: Proliferation suppressors network - Discovery of putative tumor suppressors from CRISPR screens reveals rewired lipid metabolism in acute myeloid leukemia cells

description: Folder contains cytoscape files of proliferation suppressor network visualization. Includes a combined network, and a distinct network shown between figure 2, and supplemental figure 4.<br>
DOI: 10.18112/openneuro.ds003620.v1.1.0
title: Runabout: A mobile EEG study of auditory oddball processing in laboratory and real-world conditions
DOI: 10.3886/e152581
title: Gender Roles and Intimate Partner Violence - Spring 2019

description: Online questionnaire study of 384 male and female college undergraduates on gender roles and psychological maladjustment.<br>
description: None<br>
description: Presence of Common Scales: Arciniega, G. M., Anderson, T. C., Tovar-Blank, Z. G., & Tracey, T. J. G. (2008). Towards a fuller conception of machismo: Development of a traditional machismo and caballerismo scale. Journal of Counseling Psychology, 55, 19-33. <br>Carver, C. S. (1997). You want to measure coping but your protocol’s too long: Consider the Brief COPE. International Journal of Behavioral Medicine, 4, 92-100. Castillo. L. G., Perez, F. V., Castillo, R., & Ghosheh, M. R. (2010). Construction and initial validation of the marianismo beliefs scale. Counseling Psychology Quarterly, 23, 163-175. doi:10.1080/09515071003776036 <br>Kroenke, K., & Spitzer, R. L. (2002). The PHQ-9: a new depression diagnostic and severity measure. Psychiatric Annals, 32, 509-521. <br>Kroenke, K., Spitzer, R. L., & Williams, J. B. W. (2002). The PHQ-15: Validity of a new measure for evaluating somatic symptom severity. Psychosomatic Medicine, 64, 258-266. <br>Maddock, J. E., Laforge, R. G., Rossi, J. S., & O’Hare, T. (2001). The College Alcohol Problems Scale. Addictive Behaviors, 26, 385-398. Raffaelli, M., & Ontai, L. L. (2004). Gender socialization in Latino/a families: Results from two retrospective studies. Sex Roles,50, 287‑299.<br> Straus, M. A. (1979). Measuring intrafamily conflict and violence: The Conflict Tactics (CT) Scales. Journal of Marriage and Family, 41, 75-88.<br><br>
description: Convenience sampling of university introductory psychology undergraduates.<br>
description: web-based survey;
DOI: 10.3886/e152581v1
title: Gender Roles and Intimate Partner Violence - Spring 2019

description: Online questionnaire study of 384 male and female college undergraduates on gender roles and psychological maladjustment.<br>
description: None<br>
description: Presence of Common Scales: Arciniega, G. M., Anderson, T. C., Tovar-Blank, Z. G., & Tracey, T. J. G. (2008). Towards a fuller conception of machismo: Development of a traditional machismo and caballerismo scale. Journal of Counseling Psychology, 55, 19-33. <br>Carver, C. S. (1997). You want to measure coping but your protocol’s too long: Consider the Brief COPE. International Journal of Behavioral Medicine, 4, 92-100. Castillo. L. G., Perez, F. V., Castillo, R., & Ghosheh, M. R. (2010). Construction and initial validation of the marianismo beliefs scale. Counseling Psychology Quarterly, 23, 163-175. doi:10.1080/09515071003776036 <br>Kroenke, K., & Spitzer, R. L. (2002). The PHQ-9: a new depression diagnostic and severity measure. Psychiatric Annals, 32, 509-521. <br>Kroenke, K., Spitzer, R. L., & Williams, J. B. W. (2002). The PHQ-15: Validity of a new measure for evaluating somatic symptom severity. Psychosomatic Medicine, 64, 258-266. <br>Maddock, J. E., Laforge, R. G., Rossi, J. S., & O’Hare, T. (2001). The College Alcohol Problems Scale. Addictive Behaviors, 26, 385-398. Raffaelli, M., & Ontai, L. L. (2004). Gender socialization in Latino/a families: Results from two retrospective studies. Sex Roles,50, 287‑299.<br> Straus, M. A. (1979). Measuring intrafamily conflict and violence: The Conflict Tactics (CT) Scales. Journal of Marriage and Family, 41, 75-88.<br><br>
description: Convenience sampling of university introductory psychology undergraduates.<br>
description: web-based survey;
DOI: 10.6084/m9.figshare.16786255
title: Young Film and Television Professionals: The Impact of Gender on Career Decision Self-Efficacy

description: This work was quantitative, with gender as the independent variable and CDSE as the dependent variable. The author chose a non-experimental, cross-sectional research design, as gender was not altered during the study and the research question asked for the difference in CDSE between men and women. A survey provided data on age, gender, and CDSE. Simple random sampling allowed the author to randomly select 500 of the 4,761 members of Awesome Assistants, a Facebook group dedicated to supporting young film/TV professionals. To survey the selected members of Awesome Assistants, this study utilized the Career Decision Self-Efficacy Scale-Short Form (CDSES-SF). The author contacted the selected participants via Facebook, LinkedIn, and email, with subjects that agreed to participate in the study being sent a Qualtrics link to the survey. Follow up messages were utilized over the four-week study, and the author also raffled off four $25 Amazon gift cards to drive up the response rate. After raw data was checked and uploaded into IBM Statistical Product and Service Solutions (SPSS) Statistics 27, the author eliminated subjects who did not answer the question about age, as well as those who were younger than 18 or older than 35. In addition, participants who failed to answer at least one question related to each of the five subscales within the CDSES-SF were also removed from analysis. As a result, the author analyzed 239 of the 267 individual responses. This study utilized an independent samples <i>t</i> test for gender (dichotomous independent) and the CDSES-SF overall score (continuous dependent) due to the variable types. Statistical significance was represented by a p-value below .05.
DOI: 10.6084/m9.figshare.16786255.v1
title: Young Film and Television Professionals: The Impact of Gender on Career Decision Self-Efficacy

description: This work was quantitative, with gender as the independent variable and CDSE as the dependent variable. The author chose a non-experimental, cross-sectional research design, as gender was not altered during the study and the research question asked for the difference in CDSE between men and women. A survey provided data on age, gender, and CDSE. Simple random sampling allowed the author to randomly select 500 of the 4,761 members of Awesome Assistants, a Facebook group dedicated to supporting young film/TV professionals. To survey the selected members of Awesome Assistants, this study utilized the Career Decision Self-Efficacy Scale-Short Form (CDSES-SF). The author contacted the selected participants via Facebook, LinkedIn, and email, with subjects that agreed to participate in the study being sent a Qualtrics link to the survey. Follow up messages were utilized over the four-week study, and the author also raffled off four $25 Amazon gift cards to drive up the response rate. After raw data was checked and uploaded into IBM Statistical Product and Service Solutions (SPSS) Statistics 27, the author eliminated subjects who did not answer the question about age, as well as those who were younger than 18 or older than 35. In addition, participants who failed to answer at least one question related to each of the five subscales within the CDSES-SF were also removed from analysis. As a result, the author analyzed 239 of the 267 individual responses. This study utilized an independent samples <i>t</i> test for gender (dichotomous independent) and the CDSES-SF overall score (continuous dependent) due to the variable types. Statistical significance was represented by a p-value below .05.
DOI: 10.6084/m9.figshare.16713196
title: The Effect of Networking on the Career Decision Self-Efficacy of Young Film and Television Professionals

description: <b><i>Population and sample</i></b>To find participants for the survey, this study drew from the 4,761 publicly listed members of the online group Awesome Assistants. As a result, the population was all young film/TV professionals, while the sample was the selected members of Awesome Assistants. On its Facebook page, Awesome Assistants allows film/TV professionals to post job openings and work-related questions. The author eliminated respondents younger than 18 or older than 35, and did not include moderators of Awesome Assistants. Members of the group work in the film/TV industry with either an assistant title or performing assistant duties, such as answering phones and running errands. The author randomly selected and contacted 500 individuals from this online group. The author also utilised two follow-up messages to improve the response rate.<b><i>Instrumentation</i></b>In order to collect data from the sample, the author used the Career Decision Self-Efficacy Scale-Short Form (CDSES-SF).<b><i>Data collection process</i></b>To distribute the survey to potential participants, the author sent a letter to the Awesome Assistants moderators to confirm their support. After, the author uploaded a message of informed consent and the survey to Qualtrics, then sent subjects a link to complete the study. Subjects received messages via Facebook Messenger, LinkedIn, or email, based on the contact information available. Once subjects completed the survey, a debriefing form invited them to enter a raffle for one of four $25 Amazon gift cards. After four weeks, the links expired. The author omitted surveys in which the subject did not answer at least one item from each subscale on the CDSES-SF. If respondents did not answer all items in a subscale, the author took the average of the completed questions. Additionally, the author eliminated subjects who fell outside of the target age range, as well as those who did not provide their age or number of contacts in the film/TV industry. Out of the 267 unique responses, the author analyzed 226 subjects as a result.<b><i>Statistical Analysis Procedures</i></b>Much like data collection, the author ensured that the statistical analysis process was legitimate and insightful. Next, the author entered data into IBM Statistical Product and Service Solutions (SPSS) Statistics 27 and determined what data should be coded as missing. Due to the assumption of linearity not being met by the data, the author used Spearman’s rho instead of a Pearson product-moment correlation. The author declared the results statistically significant if <i>p</i> &lt; .05.
DOI: 10.6084/m9.figshare.16713196.v1
title: The Effect of Networking on the Career Decision Self-Efficacy of Young Film and Television Professionals

description: <b><i>Population and sample</i></b>To find participants for the survey, this study drew from the 4,761 publicly listed members of the online group Awesome Assistants. As a result, the population was all young film/TV professionals, while the sample was the selected members of Awesome Assistants. On its Facebook page, Awesome Assistants allows film/TV professionals to post job openings and work-related questions. The author eliminated respondents younger than 18 or older than 35, and did not include moderators of Awesome Assistants. Members of the group work in the film/TV industry with either an assistant title or performing assistant duties, such as answering phones and running errands. The author randomly selected and contacted 500 individuals from this online group. The author also utilised two follow-up messages to improve the response rate.<b><i>Instrumentation</i></b>In order to collect data from the sample, the author used the Career Decision Self-Efficacy Scale-Short Form (CDSES-SF).<b><i>Data collection process</i></b>To distribute the survey to potential participants, the author sent a letter to the Awesome Assistants moderators to confirm their support. After, the author uploaded a message of informed consent and the survey to Qualtrics, then sent subjects a link to complete the study. Subjects received messages via Facebook Messenger, LinkedIn, or email, based on the contact information available. Once subjects completed the survey, a debriefing form invited them to enter a raffle for one of four $25 Amazon gift cards. After four weeks, the links expired. The author omitted surveys in which the subject did not answer at least one item from each subscale on the CDSES-SF. If respondents did not answer all items in a subscale, the author took the average of the completed questions. Additionally, the author eliminated subjects who fell outside of the target age range, as well as those who did not provide their age or number of contacts in the film/TV industry. Out of the 267 unique responses, the author analyzed 226 subjects as a result.<b><i>Statistical Analysis Procedures</i></b>Much like data collection, the author ensured that the statistical analysis process was legitimate and insightful. Next, the author entered data into IBM Statistical Product and Service Solutions (SPSS) Statistics 27 and determined what data should be coded as missing. Due to the assumption of linearity not being met by the data, the author used Spearman’s rho instead of a Pearson product-moment correlation. The author declared the results statistically significant if <i>p</i> &lt; .05.
DOI: 10.5281/zenodo.4718085
title: Supplementary data to "Predicting social and health vulnerability to floods in Bangladesh"

description: This package contains supplementary data to the publication "Predicting social and health vulnerability to floods in Bangladesh" in Natural Hazards and Earth System Sciences (https://doi.org/10.5194/nhess-21-1807-2021).
description: {"references": ["Lee, D., Ahmadul, H., Patz, J., and Block, P.: Predicting social and health vulnerability to floods in Bangladesh, Nat. Hazards Earth Syst. Sci. Discuss. [preprint], https://doi.org/10.5194/nhess-2020-392, in review, 2020."]}
DOI: 10.5281/zenodo.4718084
title: Supplementary data to "Predicting social and health vulnerability to floods in Bangladesh"

description: This package contains supplementary data to the publication "Predicting social and health vulnerability to floods in Bangladesh" in Natural Hazards and Earth System Sciences (https://doi.org/10.5194/nhess-21-1807-2021).
description: {"references": ["Lee, D., Ahmadul, H., Patz, J., and Block, P.: Predicting social and health vulnerability to floods in Bangladesh, Nat. Hazards Earth Syst. Sci. Discuss. [preprint], https://doi.org/10.5194/nhess-2020-392, in review, 2020."]}
DOI: 10.5281/zenodo.5341932
title: Replication data and theory code for: Discovery of segmented Fermi surface induced by Cooper pair momentum

description: Replication data and theory code for: Discovery of segmented Fermi surface induced by Cooper pair momentum
DOI: 10.5281/zenodo.5341931
title: Replication data and theory code for: Discovery of segmented Fermi surface induced by Cooper pair momentum

description: Replication data and theory code for: Discovery of segmented Fermi surface induced by Cooper pair momentum
DOI: 10.6084/m9.figshare.16778731
title: SUPPLEMENTAL DATA

description: Supplemental Tables 1-7<br>
DOI: 10.6084/m9.figshare.16778731.v1
title: SUPPLEMENTAL DATA

description: Supplemental Tables 1-7<br>
DOI: 10.6084/m9.figshare.16821463
title: Effects of aerial adulticiding for mosquito management on non-target insects: A Bayesian and community ecology approach

description: Ecosphere<br>Effects of aerial adulticiding for mosquito management on non-target insects: A Bayesian and community ecology approach <br>Ilia Rochlin, Greg White, Nadja Reissen, Tarun Martheswaran and Ary Faraji<br>Center for Vector Biology, Rutgers University, 180 Jones Avenue, New Brunswick, NJ 08901 <br>Salt Lake City Mosquito Abatement District, 2215 North 2200 West, Salt Lake City, UT 84116<br>Corresponding author: ary@slcmad.org<br>
DOI: 10.6084/m9.figshare.16821463.v1
title: Effects of aerial adulticiding for mosquito management on non-target insects: A Bayesian and community ecology approach

description: Ecosphere<br>Effects of aerial adulticiding for mosquito management on non-target insects: A Bayesian and community ecology approach <br>Ilia Rochlin, Greg White, Nadja Reissen, Tarun Martheswaran and Ary Faraji<br>Center for Vector Biology, Rutgers University, 180 Jones Avenue, New Brunswick, NJ 08901 <br>Salt Lake City Mosquito Abatement District, 2215 North 2200 West, Salt Lake City, UT 84116<br>Corresponding author: ary@slcmad.org<br>
DOI: 10.6084/m9.figshare.16817941
title: Liquid biopsy uncovers distinct patterns of DNA methylation and copy number changes in NSCLC patients with different EGFR-TKI resistant mutations

description: Targeted therapy with tyrosine kinase inhibitors (TKI) provides survival benefits to a majority of patients with non-small cell lung cancer (NSCLC). However, resistance to TKI almost always develops after treatment. Although genetic and epigenetic alterations have each been shown to drive resistance to TKI in cell line models, clinical evidence for their contribution in the acquisition of resistance remains limited. Here, we employed liquid biopsy for simultaneous analysis of genetic and epigenetic changes in 122 Vietnamese NSCLC patients undergoing TKI therapy and displaying acquired resistance. Genome-wide epigenetics, particularly DNA methylation changes, have been implicated in the acquisition of drug resistance by cancer cells. However, the relationship between DNA methylation and mutation alterations in mediating resistance to TKI drugs remains largely unknown. To profile the methylation changes at the genome-wide level of different resistance mutation groups, we employed the workflow previously reported by Jiang et al.. The assay was based on the combination of bisulfite conversion and massively parallel sequencing to analyze methylation density (MD) in bins of 1 Mb across 22 chromosomes. The analysis was performed for all cases with <i>EGFR</i> amplification (3 cases) and MET amplification (4 cases). For the remaining cases, only 3 out of 5 cases with co-occurring T790M and <i>EGFR</i> amplification and 3 out of 5 cases with <i>HER2</i> amplification had sufficient cell free DNA for the analysis. Among 23 patients carrying T790M mutation, we randomly selected 5 cases with sufficient plasma. The total 18 chosen cases were grouped into either EGFR dependent resistance mutations (on-target) or EGFR independent mutations (off-target). Samples from 3 healthy subjects were included as a reference set.