cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.5781661
title: Expression and function of Twitch-2B in the granulosa cells of mouse ovarian follicles

description: Briefly, antral follicles were dissected from 23- to 26-d-old <em>RR8; Bact_Cre mice</em>. Follicles were cultured for 24–30 h on organotypic membranes (Millipore; cat. No. PICMORG50) in the presence of follicle-stimulating hormone. The follicle was held in a perfusion slide consisting of a plastic slide (ibidi) and a glass coverslip and assembled using silicon grease. The slide was constructed such that medium containing ovine LH (National Hormone and Peptide Program; 10 μg/mL) could be perfused through a 200-μm-deep channel holding the follicle. Temperature was maintained at 30–34 °C, by use of a warm air blower (Nevtek). Preovulatory Follicles were imaged using a Zeiss Pascal confocal microscope with a 40X/1.2 NA objective. Images were collected every 10 seconds. Measurements were corrected for autofluorescence and for spectral bleed-through of CFP into the YFP channel. Ratios were calculated by dividing the mean CFP intensity in each region of interest by the mean YFP intensity. Data analysis was done using ImageJ and Excel software. Data is representative of 4 follicles.
DOI: 10.5281/zenodo.5781660
title: Expression and function of Twitch-2B in the granulosa cells of mouse ovarian follicles

description: Briefly, antral follicles were dissected from 23- to 26-d-old <em>RR8; Bact_Cre mice</em>. Follicles were cultured for 24–30 h on organotypic membranes (Millipore; cat. No. PICMORG50) in the presence of follicle-stimulating hormone. The follicle was held in a perfusion slide consisting of a plastic slide (ibidi) and a glass coverslip and assembled using silicon grease. The slide was constructed such that medium containing ovine LH (National Hormone and Peptide Program; 10 μg/mL) could be perfused through a 200-μm-deep channel holding the follicle. Temperature was maintained at 30–34 °C, by use of a warm air blower (Nevtek). Preovulatory Follicles were imaged using a Zeiss Pascal confocal microscope with a 40X/1.2 NA objective. Images were collected every 10 seconds. Measurements were corrected for autofluorescence and for spectral bleed-through of CFP into the YFP channel. Ratios were calculated by dividing the mean CFP intensity in each region of interest by the mean YFP intensity. Data analysis was done using ImageJ and Excel software. Data is representative of 4 follicles.
DOI: 10.26275/ed8l-dnpq
title: Identification of peripheral neural circuits that regulate heart rate using optogenetic and viral vector strategies part (2)

description: Identification of peripheral neural circuits that regulate heart rate using optogenetic and viral vector strategies
description: Data from the innervation of intact mice hearts and the mapping of parasympathetic and sympathetic neural circuits which control heart rate. This data set identifies the cholinergic and noradrenergic neurons which project to the sinoatrial node
DOI: 10.6084/m9.figshare.16599008
title: results.xlsx

description: Raw data for mass loss, hemolysis, and fibrinolysis<br>
DOI: 10.6084/m9.figshare.16599008.v2
title: results.xlsx

description: Raw data for mass loss, hemolysis, and fibrinolysis<br>
DOI: 10.6084/m9.figshare.16599008.v1
title: results.xlsx

description: Raw data for mass loss, hemolysis, and fibrinolysis<br>
DOI: 10.5281/zenodo.5781449
title: Learning Rich Representation of Keyphrases from Text

description: In this work, we explore how to learn task-specific language models aimed towards learning rich representation of keyphrases from text documents. We experiment with different masking strategies for pre-training transformer language models (LMs) in discriminative as well as generative settings. In the discriminative setting, we introduce a new pre-training objective - Keyphrase Boundary Infilling with Replacement (KBIR), showing large gains in performance (up to 9.26 points in F1) over SOTA, when LM pre-trained using KBIR is fine-tuned for the task of keyphrase extraction. In the generative setting, we introduce a new pre-training setup for BART - KeyBART, that reproduces the keyphrases related to the input text in the CatSeq format, instead of the denoised original input. This also led to gains in performance (up to 4.33 points in F1@M) over SOTA for keyphrase generation. Additionally, we also fine-tune the pre-trained language models on named entity recognition (NER), question answering (QA), relation extraction (RE), abstractive summarization and achieve comparable performance with that of the SOTA, showing that learning rich representation of keyphrases is indeed beneficial for many other fundamental NLP tasks. As a part of this zip file we release the KBIR model which is continually pre-trained on RoBERTa-Large and also the KeyBART model which is continually pre-trained on BART-Large. Both these models can be used in place of a RoBERTa-Large or BART-Large model in PyTorch codebases and also with HuggingFace.
DOI: 10.6084/m9.figshare.12988313.v9
title: Continuation and user satisfaction of the levonorgestrel intrauterine system (LNG IUS) contraceptive in Nigeria

description: Dataset was from a prospective longitudinal phone survey made up of baseline survey of users at 2-weeks post-insertion of LNG IUS, recruited from 40 clinics across 17 states in Nigeria, with follow-up survey at the third and twelfth-month. A total 208 users were interviewed at baseline, 98 at three-months and 73 at twelve-month. User family planning and LNG IUS use experiences were elicited, and the continuation and satisfaction with the method at three and twelve months were also assessed. Average age of users of LNG IUS in the study at baseline is 33.7±6, and majority are aged 35 years and older (44%), followed by those aged 30-34 years and 25-29 years old which are approximately 30% and 20%. At the 3 and 12-months post-insertion, 97% (95% CI: 91.3, 99.3) and 92% (95% CI: 82.9, 96.9), respectively, reported still using the LNG IUS, with none out of the few users who discontinued the method reporting a method failure. Discontinuation was mainly a result of the experience of menstrual bleeding or amenorrhea (25.0%), experiences of pain with the method (18.8%), and partner complaining about strings (16.7%). High satisfaction with the LNG IUS (76.5% at three months and 86.3% at 12 months post-insertion) was reported. Satisfaction with LNG IUS was significantly associated with not having breast tenderness/pain (88.2%) and no vaginal bacterial infection (87.5%) at 12 months compared to experiencing breast tender/pain (50.0%) and vaginal infection (0.0%) (p&lt;0.05).
DOI: 10.17608/k6.auckland.17203748
title: Enzyme assays raw files

description: Raw enzyme assay files for lactate and glucose assays
DOI: 10.17608/k6.auckland.17203748.v1
title: Enzyme assays raw files

description: Raw enzyme assay files for lactate and glucose assays
DOI: 10.15784/601490
title: Mt. Waesche ground-penetrating radar data 2018-2019

description: Here we deposited data sets from the 2018-2019 Mt. Waesche field season. Included are 5 MHz, 10 MHz, 100 MHz, and 350 MHz. Datasets are provided in SEG-Y format for the 100 and 350 MHz and H5 files for the 5 and 10 MHz.
DOI: 10.5281/zenodo.5781670
title: DASEA 15-12-2021

description: A continuously updated dataset of software dependencies covering various package manager ecosystems. Read more on https://heyjoakim.github.io/DASEA/
DOI: 10.5281/zenodo.5781669
title: DASEA 15-12-2021

description: A continuously updated dataset of software dependencies covering various package manager ecosystems. Read more on https://heyjoakim.github.io/DASEA/
DOI: 10.17608/k6.auckland.17203739
title: LabChart Raw files

description: raw heart rate data recorded in LabChart
DOI: 10.17608/k6.auckland.17203739.v1
title: LabChart Raw files

description: raw heart rate data recorded in LabChart
DOI: 10.17608/k6.auckland.17203724.v1
title: Enzyme assays excel

description: Excel work up of enzyme assay data
DOI: 10.17608/k6.auckland.17203724
title: Enzyme assays excel

description: Excel work up of enzyme assay data
DOI: 10.6084/m9.figshare.17203757
title: Merkle, Schreiber, Weber: Inconsistent Retirement Timing

description: AbstractWe study the effect of inconsistent time preferences on actual and planned retirement timing decisions in two independent datasets. Theory predicts that hyperbolic time preferences can lead to dynamically inconsistent retirement timing. In an online experiment with more than 2,000 participants, we find that time-inconsistent participants retire on average 1.75 years earlier than time-consistent participants do. The planned retirement age of non-retired participants decreases with age. This negative age effect is about twice as strong among time-inconsistent participants. The temptation of early retirement seems to rise in the final years of approaching retirement. Consequently, time-inconsistent participants have a higher probability of regretting their retirement decision. We find similar results for a representative household survey (German SAVE panel). Using smoking behavior and overdraft usage as time preference proxies, we confirm that time-inconsistent participants retire earlier and that non-retirees reduce their planned retirement age within the panel.MethodsWe conduct an online experiment in cooperation with a large and well-circulated German newspaper, the Frankfurter Allgemeine Zeitung (FAZ). Participants are recruited via a link on the newspaper's website and two announcements in the print edition. In total, 3,077 participants complete the experiment, which takes them on average 11 minutes. Participants answer questions about retirement planning, time preferences, risk preferences, financial literacy, and demographics. The initial sample for this study consists of 256 retired participants and 2,173 non-retired participants.Usage NotesOur dataset: STATA Do File is attached Additional Datasets: In addition, a German Household Panle is used in this paper. The data cannot be uploaded by us but is available via the Max Planck Institute (https://www.mpisoc.mpg.de/en/social-policy-mea/research/save-2001-2013/). We upload the Do-Files used in the analysis and the results in an excel format (xlsx).
DOI: 10.6084/m9.figshare.17203757.v1
title: Merkle, Schreiber, Weber: Inconsistent Retirement Timing

description: AbstractWe study the effect of inconsistent time preferences on actual and planned retirement timing decisions in two independent datasets. Theory predicts that hyperbolic time preferences can lead to dynamically inconsistent retirement timing. In an online experiment with more than 2,000 participants, we find that time-inconsistent participants retire on average 1.75 years earlier than time-consistent participants do. The planned retirement age of non-retired participants decreases with age. This negative age effect is about twice as strong among time-inconsistent participants. The temptation of early retirement seems to rise in the final years of approaching retirement. Consequently, time-inconsistent participants have a higher probability of regretting their retirement decision. We find similar results for a representative household survey (German SAVE panel). Using smoking behavior and overdraft usage as time preference proxies, we confirm that time-inconsistent participants retire earlier and that non-retirees reduce their planned retirement age within the panel.MethodsWe conduct an online experiment in cooperation with a large and well-circulated German newspaper, the Frankfurter Allgemeine Zeitung (FAZ). Participants are recruited via a link on the newspaper's website and two announcements in the print edition. In total, 3,077 participants complete the experiment, which takes them on average 11 minutes. Participants answer questions about retirement planning, time preferences, risk preferences, financial literacy, and demographics. The initial sample for this study consists of 256 retired participants and 2,173 non-retired participants.Usage NotesOur dataset: STATA Do File is attached Additional Datasets: In addition, a German Household Panle is used in this paper. The data cannot be uploaded by us but is available via the Max Planck Institute (https://www.mpisoc.mpg.de/en/social-policy-mea/research/save-2001-2013/). We upload the Do-Files used in the analysis and the results in an excel format (xlsx).
DOI: 10.17608/k6.auckland.17102705
title: Heart rate dataset

description: excel datasheet of HR analysis for M. rosenbergii
DOI: 10.17608/k6.auckland.17102705.v1
title: Heart rate dataset

description: excel datasheet of HR analysis for M. rosenbergii
DOI: 10.17608/k6.auckland.17203769.v1
title: Study statistical analysis

description: Statistical analysis for adenosine and M. rosenbergii
DOI: 10.17608/k6.auckland.17203769
title: Study statistical analysis

description: Statistical analysis for adenosine and M. rosenbergii
DOI: 10.6084/m9.figshare.17197685
title: Solar wind velocities for comet C/2013 R1 (Lovejoy) during low orbit plane angles

description: This dataset was analysed and presented in the <b>‘Solar Wind Velocities at Comets C/2011 L4 Pan-STARRS and C/2013 R1 Lovejoy derived using a New Image Analysis Technique’ paper. Submitted to JGR - Space Physics.</b><br><br>Please contact the author at yudish@hawaii.edu for info on the software. This dataset was collected from amateur astrophotographers from around the world. The data spanned two weeks on either side of the comet’s perihelion and covers part of Carrington Rotation 2144 and 2145.<br><br>Each image was processed through IDL using the main technique described in the paper to produce radial solar wind velocity estimates from the cometary ion tail of comet C/2013 R1 (Lovejoy).<br><br>The processed variables, including the final solar wind velocity results are stored as individual .sav files for each image. IDL is required to open and analyse these .sav files. the python package readsav is also available - see links below.<br><br><br>In repository:<br><br>1. Processed images as .sav files. To produce a plot of the solar wind velocities, the user will need to access these results from each .sav file and concatenate them.<br><br>File naming convention is comet denomination + datetime_UTC + observer + .fits<br><br><br>***Note:***<br><br>.sav files are saved variables processed via IDL. More info can be found here:<br><br>.sav: https://www.l3harrisgeospatial.com/docs/save.html<br><br>IDL : https://www.l3harrisgeospatial.com/<br><br>The following python package is available to process .sav files though the authors have no experience with this package.<br><br>https://docs.scipy.org/doc/scipy/reference/generated/scipy.io.readsav.html
DOI: 10.6084/m9.figshare.17197685.v1
title: Solar wind velocities for comet C/2013 R1 (Lovejoy) during low orbit plane angles

description: This dataset was analysed and presented in the <b>‘Solar Wind Velocities at Comets C/2011 L4 Pan-STARRS and C/2013 R1 Lovejoy derived using a New Image Analysis Technique’ paper. Submitted to JGR - Space Physics.</b><br><br>Please contact the author at yudish@hawaii.edu for info on the software. This dataset was collected from amateur astrophotographers from around the world. The data spanned two weeks on either side of the comet’s perihelion and covers part of Carrington Rotation 2144 and 2145.<br><br>Each image was processed through IDL using the main technique described in the paper to produce radial solar wind velocity estimates from the cometary ion tail of comet C/2013 R1 (Lovejoy).<br><br>The processed variables, including the final solar wind velocity results are stored as individual .sav files for each image. IDL is required to open and analyse these .sav files. the python package readsav is also available - see links below.<br><br><br>In repository:<br><br>1. Processed images as .sav files. To produce a plot of the solar wind velocities, the user will need to access these results from each .sav file and concatenate them.<br><br>File naming convention is comet denomination + datetime_UTC + observer + .fits<br><br><br>***Note:***<br><br>.sav files are saved variables processed via IDL. More info can be found here:<br><br>.sav: https://www.l3harrisgeospatial.com/docs/save.html<br><br>IDL : https://www.l3harrisgeospatial.com/<br><br>The following python package is available to process .sav files though the authors have no experience with this package.<br><br>https://docs.scipy.org/doc/scipy/reference/generated/scipy.io.readsav.html
DOI: 10.6084/m9.figshare.17203754
title: Data from: Habitat loss predicts the functional extinction of fish from Amazonian streams during the Anthropocene

description: The evaluation of extinction risk has typically focused on individual species, although a shift to a focus on ecosystem function would appear to be an urgent priority for conservation planning, especially considering that a sixth mass extinction event has already begun. In the present study, we investigated how fish extinction driven by habitat loss may modify the functioning of freshwater Amazonian ecosystems. We sampled the fish and environmental conditions of 63 streams in the eastern Amazon, and simulated extinction based on the vulnerability of the species to habitat loss, which is the principal threat to tropical biodiversity. The simulated extinction of vulnerable species led to a decrease in both the mean body size of the community and functional rarity, and culminated in abrupt losses of ecosystem function after 5% and 10% of extinction at local and regional scales. Our functional approach demonstrated the progressive loss of ecological functions in Amazon streams, which may collapse altogether following biological invasions, and associated alterations in nutrient cycling and water quality. We provide robust predictions on the modification of the ecosystem following the extinction of fish species, which is a major step towards the development of effective conservation measures that ensure the avoidance of the predicted processes, and help to prevent the loss of biodiversity and the potentially irreversible modifications of ecosystem function.<br>
DOI: 10.6084/m9.figshare.17203754.v1
title: Data from: Habitat loss predicts the functional extinction of fish from Amazonian streams during the Anthropocene

description: The evaluation of extinction risk has typically focused on individual species, although a shift to a focus on ecosystem function would appear to be an urgent priority for conservation planning, especially considering that a sixth mass extinction event has already begun. In the present study, we investigated how fish extinction driven by habitat loss may modify the functioning of freshwater Amazonian ecosystems. We sampled the fish and environmental conditions of 63 streams in the eastern Amazon, and simulated extinction based on the vulnerability of the species to habitat loss, which is the principal threat to tropical biodiversity. The simulated extinction of vulnerable species led to a decrease in both the mean body size of the community and functional rarity, and culminated in abrupt losses of ecosystem function after 5% and 10% of extinction at local and regional scales. Our functional approach demonstrated the progressive loss of ecological functions in Amazon streams, which may collapse altogether following biological invasions, and associated alterations in nutrient cycling and water quality. We provide robust predictions on the modification of the ecosystem following the extinction of fish species, which is a major step towards the development of effective conservation measures that ensure the avoidance of the predicted processes, and help to prevent the loss of biodiversity and the potentially irreversible modifications of ecosystem function.<br>
DOI: 10.5281/zenodo.5781672
title: Harmonized Cultural Access & Participation Dataset

description: "id": survey identifer<br> "rowid": unique observation identifier: <br> "fct_visit_concert": visiting frequency to concert, catogorical representation,<br> "fct_visit_library": visiting frequency to concert, catogorical representation,<br> "fct_visit_museum" : visiting frequency to museums or galleries, catogorical representation,<br> "visit_concert": visiting frequency to concert, numerical representation,<br> "visit_library": visiting frequency to concert, numerical representation,<br> "visit_museum": visiting frequency to concert, numerical representation,<br> age_education": school leaving age<br> "age_exact": age <br> "is_student" : respondent still studying (1=yes, 0=no)<br> "geo": geographic concept <br> "w1": post-stratification weight for geo<br> "w_uk": post-stratification weight for Northern Ireland and Great Britain<br> "w_de": <br> "wex": projected post stratification weight <br> "country_code": country code, unifying Germany and the United Kingdom (originally separate samples)<br> "w": post_stratification weight for country_code<br> "year_survey": year of the survey<br> "is_visit_concert": binary variable, 0 if the person did not visit concerts, public libraries, musea...<br> "is_visit_library": : binary variable, 0 if the person did not visit public libraries<br> "is_visit_museum":: binary variable, 0 if the person did not visit museums or galleries
DOI: 10.5281/zenodo.5781671
title: Harmonized Cultural Access & Participation Dataset

description: "id": survey identifer<br> "rowid": unique observation identifier: <br> "fct_visit_concert": visiting frequency to concert, catogorical representation,<br> "fct_visit_library": visiting frequency to concert, catogorical representation,<br> "fct_visit_museum" : visiting frequency to museums or galleries, catogorical representation,<br> "visit_concert": visiting frequency to concert, numerical representation,<br> "visit_library": visiting frequency to concert, numerical representation,<br> "visit_museum": visiting frequency to concert, numerical representation,<br> age_education": school leaving age<br> "age_exact": age <br> "is_student" : respondent still studying (1=yes, 0=no)<br> "geo": geographic concept <br> "w1": post-stratification weight for geo<br> "w_uk": post-stratification weight for Northern Ireland and Great Britain<br> "w_de": <br> "wex": projected post stratification weight <br> "country_code": country code, unifying Germany and the United Kingdom (originally separate samples)<br> "w": post_stratification weight for country_code<br> "year_survey": year of the survey<br> "is_visit_concert": binary variable, 0 if the person did not visit concerts, public libraries, musea...<br> "is_visit_library": : binary variable, 0 if the person did not visit public libraries<br> "is_visit_museum":: binary variable, 0 if the person did not visit museums or galleries
DOI: 10.6084/m9.figshare.17072762.v1
title: Figure3_Raw CT data

description: <b>Figure 4. mRNA for four of predicted GOI are altered in human sAD2.1 iPSNs compared to control AX0018 iPSNs. a-b. </b>Quantitative immunocytochemistry showing significant increase of pS199/pS202 (AT8) tau in βIII-tubulin (neuronal marker) positive sAD2.1 iPSNs compared to control AX0018 iPSNs. <b>c-d. </b>Western blot and quantification showing significantly increased levels of total, pS199/pS202 (AT8), and pT231 (AT180) positive tau levels in sAD2.1 iPSNs compared to control AX0018 iPSNs. <b>e. </b>Quantitative real-time PCR analysis showing two folds increase in the mRNA levels of RAB40A, SCGB3A1, TMEFF2, and a fold decrease in FRRS1 in sAD2.1 iPSNs compared to AX0018 control iPSNs. Data shown are mean + s.e.m; Two-tailed <i>t </i>tests welch-corrected; *p&lt;0.05; **p&lt;0.01, ***p&lt;0.005, n=3 biological replicates; n=3 technical replicates.