cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.25345/c5sr9n
title: MassIVE MSV000087884 - A complex of BRCA2 and PP2A-B56 is required for homologous recombination-mediated DNA repair
title: Mutations in the tumour suppressor BRCA2 are associated with predisposition to breast and ovarian cancers. BRCA2 has a central role in genome integrity by facilitating the repair of toxic DNA double-strand breaks (DSBs) by homologous recombination. BRCA2 acts by promoting RAD51 nucleofilament formation on resected single-stranded DNA, but how BRCA2 activity is regulated during HR is not fully understood. Here, we delineate a pathway where ATM and ATR kinases phosphorylate a highly conserved region in BRCA2 in response to DNA DSBs. These phosphorylations stimulate the binding of the protein phosphatase PP2A-B56 to BRCA2 through a conserved binding motif. We show that the phosphorylation-dependent formation of the BRCA2-PP2A-B56 complex is required for efficient RAD51 loading to sites of DNA damage and HR-mediated DNA repair. Moreover, we find that several cancer-associated mutations in BRCA2 deregulate the BRCA2-PP2A-B56 interaction and sensitize cells to PARP inhibition. Collectively, our work uncovers PP2A-B56 as a positive regulator of BRCA2 function in HR with clinical implications for BRCA2 and PP2A-B56 mutated cancers.
DOI: 10.5281/zenodo.5138079
title: GREED: GitHub Repositories and Descriptions

description: <strong>GREED </strong>is dataset with metadata extracted from GitHub repositories (data collected through GitHub REST API) with Python and Jupyter Notebook as programming languages, more than five stars, and created in 2019 and 2020. In the <strong>final </strong>folder, the repositories descriptions are cleaned and filtered using natural language processing (NLP) techniques. The data is separated by programming language and year. In summary, this dataset contains: <strong>102,358 </strong>repositories (<strong>original</strong>); <strong>58,911 </strong>repositories (<strong>final</strong>) <strong>2 </strong>programming languages <strong>2 </strong>creation years
DOI: 10.5281/zenodo.5138078
title: GREED: GitHub Repositories and Descriptions

description: <strong>GREED </strong>is dataset with metadata extracted from GitHub repositories (data collected through GitHub REST API) with Python and Jupyter Notebook as programming languages, more than five stars, and created in 2019 and 2020. In the <strong>final </strong>folder, the repositories descriptions are cleaned and filtered using natural language processing (NLP) techniques. The data is separated by programming language and year. In summary, this dataset contains: <strong>102,358 </strong>repositories (<strong>original</strong>); <strong>58,911 </strong>repositories (<strong>final</strong>) <strong>2 </strong>programming languages <strong>2 </strong>creation years
DOI: 10.15139/s3/ogpejt
title: Muhuru Bay

description: The "Multi-Level HIV Prevention in Rural Kenya: Addressing the Individual and Setting-Level Factors Contributing to HIV Among Youth" study was conducted in 2008 in Muhuru Bay, Kenya. Data were collected on HIV risk factors and various mental health measures, including the SDQ, CDI, RBG, PTSD Reaction Index for Children/Adolescents, and an adaptation of the Things I Have Seen and Heard Scale. The study population is comprised of 325 adolescents and their legal guardians. Adolescents were randomly selected from among students enrolled in Standards 5-8 in the 14 schools (9 public, 5 private) in the Muhuru Division of Nyanza, Kenya. Adolescent participants were between the ages of 9 and 18. A caregiver for each enrolled adolescent participant also participated in the study. Both adolescent and caregiver participants completed a one-time, 90-min structured interview administered by research assistants, conducted in the local language Dholuo. All data within the AMANI collection is restricted to protect confidentiality. You may request access to a dataset by contacting the data author at the email address provided under the Terms of Service.
DOI: 10.25345/c5p24x
title: MassIVE MSV000087885 - Comparative metabolomics with Metaboseek reveals functions of peroxisomal alpha-oxidation in C. elegans
title: Helf MJ, Fox BW, Artyukhin AB, Zhang YK, Schroeder FC (2021) Comparative metabolomics with Metaboseek reveals functions of peroxisomal alpha-oxidation in C. elegans
DOI: 10.5517/ccdc.csd.cc27w9n3
title: CCDC 2081825: Experimental Crystal Structure Determination

description: Related Article: M. Zain H. Kazmi, Jason P. G. Rygus, Hwee Ting Ang, Marco Paladino, Matthew A. Johnson, Michael J. Ferguson, Dennis G. Hall|2021|J.Am.Chem.Soc.|143|10143|doi:10.1021/jacs.1c02462
DOI: 10.6073/pasta/62b757b90b1e5e30933ef34aa6c34111
title: Aboveground biomass at control and fertilized plots in a Spartina patens-dominated marsh, Rowley River, Plum Island Ecosystem LTER, MA.

description: Aboveground biomass is determined destructively during the growing season at a Spartina patens salt marsh on the Rowley River within the Plum Island Ecosystems (PIE) LTER site.
DOI: 10.18739/a2kh0f07c
title: Drained lake basins on the younger outer coastal plain north of Teshekpuk Lake, North Slope, Alaska, 2010-2014

description: This data set covers the younger outer coastal plain north of Teshekpuk Lake, North Slope, Alaska. In this region, drained lake basins are abundant features, covering large parts of the landscape. This data set is based on Landsat Thematic Mapper (TM) imagery acquired in August 2010, and a 5 meter (m) resolution Interferometric Synthetic Aperture Radar (IfSAR)-derived digital terrain model. Drained lake basins were manually delineated in a geographic information system (GIS). The data set includes Lake 195, which drained in this area in 2014. For further details please see Jones et al. (2015): Jones, BM, and Arp, CD (2015), Observing a Catastrophic Thermokarst Lake Drainage in Northern Alaska. Permafrost and Periglac. Process., 26, 119– 128. doi: 10.1002/ppp.1842.
DOI: 10.17863/cam.14459
title: Thwing electrical resistance south of the pond in Chapel Field, 2004, GRD (grid) data

description: Thwing context database, containing the final publication interpretations as well as the original context register information recorded on-site. Context number, phase, area, feature number, volume in cubic metres, context type (both final and original type assigned on-site), context character (both final and original character assigned on-site), interpretations made on-site, nature of interfaces noted during excavation, stratigraphic problems, risk of contamination, volume of buckets and barrows from which the final volume in cubic metres was derived, description of the sediment matrix, coarse inclusions in the sediment, texture of sediment, colour of sediment, confidence of interpretation, year excavated, Trench, and whether or not the context was excavated with trowel, shovel, mattock, pickaxe, sieve, spade, zappa, or sampled for flotation.
DOI: 10.25919/0q18-j109
title: Parkes observations for project P1050 semester 2021APRS_12

description: This is a request for observing time for the timing campaign of new pulsar discoveries from the reprocessing of the low-latitude Galactic plane section of the HTRU survey (P630). We have now completed 80 % of the survey with GPU based coherent acceleration search, template bank and fast folding algorithm pipelines, and now have discovered 68 previously unknown pulsars and 21 "class A" pulsars awaiting confirmation. Interesting science can usually only be derived from a new pulsar after confirmation and a follow-up timing campaign is carried out. One year of initial timing is the minimum timespan required to fully characterise any newly-discovered pulsars, essential for deriving pulsar parameters such as the characteristic age, magnetic field strength, spin-down rate, as well as to detect any unexpected behaviour of the pulsar which might result from emission instabilities. This timing project is necessary for the timing of the new double neutron star (DNS) system J1325-6253 discovered last semester and for following up our confirmed/to-be confirmed new pulsars from the HTRU Galactic plane survey. Pulsars on the observing list here have been confirmed and remaining candidates will be confirmed in the current 2020OCTS semester, the follow-up timing in 2021APRS will produce completely new and exciting results. In addition, this timing project will allow us to measure the advance of periastron of PSR J1325-6253, true Galactic plane pulsar population and boundaries of pulsar parameter space in the galactic plane.
DOI: 10.25919/bws7-dg35
title: Parkes pulsar observations with undefined project IDs for 2021APRS_07

description: Parkes pulsar observations with undefined project IDs for 2021APRS. This collection contains observations from project ID PX078.
DOI: 10.5281/zenodo.5138504
title: The Bomber's Baedeker. A Guide to the Economic Importance of German Towns and Cities

description: The Bomber's Baedeker The two-volume printed work “The Bomber's Baedeker. A Guide to the Economic Importance of German Towns and Cities” was produced during the Second World War by the British Foreign Office and the Ministry of Economic Warfare. It lists towns and cities of the German Reich with more than a thousand inhabitants and information on their war-related infrastructure, industrial and production facilities. Only four verified copies still exist worldwide and none of them have been accessible for scholarly digital use until now. “The Bomber's Baedeker” was re-discovered in 2019 in the library of the Leibniz Institute of European History (IEG), digitised in cooperation with the Mainz University Library and made accessible and processed by the Digital Historical Research | DH Lab and the Darmstadt University of Applied Sciences as part of a cross-institutional cooperation (including courses with students) so that “The Bomber's Baedeker” can now be used, analysed and processed as an open, machine-readable data source in compliance with FAIR principles.
description: More information and scripts used to extract the data can be found here: https://github.com/ieg-dhr/bombers_baedeker
DOI: 10.18739/a2fq9q63p
title: Drained Lake Basin classification based on Landsat-8 imagery, North Slope, Alaska 2014 -2019

description: This data set contains a classification of the North Slope, Alaska for drained lake basins (DLBs) based on Landsat-8 imagery of the years 2014-2019 and Arctic Digital Elevation Model (ArcticDEM) data. Drained lake basins (DLBs) are often the most common landforms in lowland permafrost regions in the Arctic (50% to 75% of the landscape). However, detailed assessments of DLB distribution and abundance are limited. This data set is based on a novel and scalable remote sensing-based approach to identify DLBs in lowland permafrost regions, using the North Slope of Alaska as a case study. The data set was validated against several prior sub-regional scale datasets and manually classified points. The study area covers greater than 71,000 square kilometers (km2), including a greater than 39,000 km2 area not previously covered in existing DLB data sets. Within the data set, three classes are present: DLB/ambiguous/noDLB. Areas classified as ambiguous could not be classified as DLB or noDLB with sufficient certainty. Users may decide on a case by case basis if they wish to use the conservative estimate of DLB area, therefore omitting areas classified as ambiguous, or to use all three classes.
DOI: 10.6084/m9.figshare.15018966
title: Supplemental Materials for Breast cancer endocrine therapy promotes weight gain and glucose intolerance with distinct effects on adipose tissue in lean and obese female mice

description: Supplemental figures and tables referenced in the manuscript <i>Breast cancer endocrine therapy promotes weight gain and glucose intolerance with distinct effects on adipose tissue in lean and obese female mice. </i>
DOI: 10.18739/a29z90c99
title: Drained lake basins in the area of the 2007 Anaktuvuk River Tundra Fire, North Slope, Alaska

description: This data set covers the Anaktuvuk River fire site and maps drained lake basins in this area as described by Jones et al (2015). The data set is derived from airborne Light Detection and Ranging (LiDAR) data acquired in 2009 and 2014. The classification of drained lake basins is based on digital terrain models (DTMs) created from the classified LiDAR data and using the a topographic position index (TPI). The TPI output was manually categorized relative to existing surficial geology maps and refined into the following terrain units: (1) drained lake basins, (2) yedoma uplands, (3) rocky uplands, (4) glaciated upland, (5) river floodplain and (6) tundra stream gulches. The drained lake basin class is the subject of this data set publication. Jones, B., Grosse, G., Arp, C. et al. Recent Arctic tundra fire initiates widespread thermokarst development. Sci Rep 5, 15865 (2015). https://doi.org/10.1038/srep15865
DOI: 10.6084/m9.figshare.14562312
title: Raman Ovarian Cancer

description: The attached file consists of 3 folders, each one containing the Raman spectra (saved as .wdf and .txt files) for the 3 biofluids: plasma, serum and urine. Each of these folders contains 4 sub-folders including raw spectra for non- endometriosis benign patients (named as BENIGNS), endometriosis patients (named as ENDOMETRIOSIS), non-chemotherapy ovarian cancer patients (named as OC-NO CHEMO) and ovarian cancer patients who had received neo-adjuvant chemotherapy (named as OC-WITH CHEMO).
DOI: 10.6084/m9.figshare.14406152.v1
title: Supplementary tables 210408.docx

description: <b>Effects of remifentanil and remifentanil with methylnaltrexone on pharyngeal metrics compared to placebo and placebo with methylnaltrexone at different bolus volumes</b>
DOI: 10.6084/m9.figshare.15057411
title: Supplementary_File_7.doc

description: Bias assessment for case-control
DOI: 10.6084/m9.figshare.15057411.v1
title: Supplementary_File_7.doc

description: Bias assessment for case-control
DOI: 10.6084/m9.figshare.15057408.v1
title: Supplementary_File_6.doc

description: Bias assessment for cross-sectional
DOI: 10.6084/m9.figshare.15057408
title: Supplementary_File_6.doc

description: Bias assessment for cross-sectional
DOI: 10.6084/m9.figshare.15057399.v1
title: Supplementary_File_5.docx

description: Extracted data
DOI: 10.6084/m9.figshare.15057399
title: Supplementary_File_5.docx

description: Extracted data
DOI: 10.6084/m9.figshare.15057393
title: Supplementary_File_4

description: References excluded after the assessment of full texts and reasons for exclusion
DOI: 10.6084/m9.figshare.15057393.v1
title: Supplementary_File_4

description: References excluded after the assessment of full texts and reasons for exclusion
DOI: 10.6084/m9.figshare.15057384
title: Supplementary_File_2.docx

description: Computational codes and mathematical formulas
DOI: 10.6084/m9.figshare.15057384.v1
title: Supplementary_File_2.docx

description: Computational codes and mathematical formulas
DOI: 10.6084/m9.figshare.15057381
title: Supplementary_File_1.docx

description: Search terms.
DOI: 10.6084/m9.figshare.15057381.v1
title: Supplementary_File_1.docx

description: Search terms.
DOI: 10.5281/zenodo.5138516
title: MongoDB Performance Test Result Dataset

description: This artifact contains performance test results from MongoDB’s internal performance testing system.
DOI: 10.5281/zenodo.5138515
title: MongoDB Performance Test Result Dataset

description: This artifact contains performance test results from MongoDB’s internal performance testing system.
DOI: 10.5281/zenodo.5138386
title: Two document-concept representations of the biomedical literature

description: These two datasets represent the biomedical literature (Medline abstracts and PubMedCentral articles) in the "document-concept matrix" format produced by TDC Tools. These datasets can be used in downstream IR applications such as Literature-Based Discovery. Each of the two datasets corresponds to a specific data extraction method, see details here and in the paper linked below. Paper: <em>pending </em> Code: https://github.com/erwanm/tdc-tools Documentation:https://erwanm.github.io/tdc-tools/ <strong>Important:</strong> the raw data from which this data is derived was downloaded from Medline, PubMedCentral and PubTatorCentral, provided courtesy of the U.S. National Library of Medicine (NLM). The data was extracted in January 2021 and do not reflect the most current/accurate data available from NLM. See the github repository above in order to generate similar datasets from up to date data.
DOI: 10.5281/zenodo.5138385
title: Two document-concept representations of the biomedical literature

description: These two datasets represent the biomedical literature (Medline abstracts and PubMedCentral articles) in the "document-concept matrix" format produced by TDC Tools. These datasets can be used in downstream IR applications such as Literature-Based Discovery. Each of the two datasets corresponds to a specific data extraction method, see details here and in the paper linked below. Paper: <em>pending </em> Code: https://github.com/erwanm/tdc-tools Documentation:https://erwanm.github.io/tdc-tools/ <strong>Important:</strong> the raw data from which this data is derived was downloaded from Medline, PubMedCentral and PubTatorCentral, provided courtesy of the U.S. National Library of Medicine (NLM). The data was extracted in January 2021 and do not reflect the most current/accurate data available from NLM. See the github repository above in order to generate similar datasets from up to date data.
DOI: 10.5066/p9wdwz2e
title: Lanai habitat and ecological associations of two non-native ungulate species 2011

description: This series of five raster datasets includes three input rasters developed to model habitat suitability for two ungulate species on the island of Lanai; the two habitat suitability model raster datasets are also part of this data release. Input datasets were derived from WorldView-2 data to create vegetation (hereafter, NDVI) and bare ground indices, and from a Digital Elevation Model (DEM) to create a ground surface slope dataset. These indices and data, in addition to other datasets, were used to create habitat suitability models for Axis deer and mouflon sheep.
DOI: 10.5281/zenodo.5119925
title: Data generated and analysed for Santos Neves, Lambert, Valente & Etienne 2021

description: This repository contains the data and metadata for accompanying the publication of Santos Neves, P., Lambert, J. W., Valente, L., & Etienne, R. S. (2021). The robustness of a simple dynamic model of island biodiversity to geological and eustatic change. BiorXiv. <br> All files apart from metadata contained within this repository were obtained via computation at University of Groningen Peregrine High Performance Computing Cluster (HPCC).<br> Data was generated using the pipeline implemented on the R package DAISIErobustness, which itself greatly depends on the R package DAISIE. The code for these packages is version controlled on GitHub and is freely available in open-source repositories. See Related Identifiers section for links to relevant archived versions of both these packages.
description: {"references": ["Santos Neves, P., Lambert, J. W., Valente, L., & Etienne, R. S. (2021). The robustness of a simple dynamic model of island biodiversity to geological and eustatic change. BiorXiv"]}
DOI: 10.6073/pasta/ef2969fb785f4452a5606076e5f9251e
title: Eight Mile Lake Research Watershed, Carbon in Permafrost Experimental Heating and Drying Research (DryPEHR): Peak growing season aboveground biomass 2011-2017. (Reformatted to the ecocomDP Design Pattern)

description: This data package is formatted as an ecocomDP (Ecological Community Data Pattern). For more information on ecocomDP see https://github.com/EDIorg/ecocomDP. This Level 1 data package was derived from the Level 0 data package found here: https://pasta.lternet.edu/package/metadata/eml/knb-lter-bnz/502/16. The abstract below was extracted from the Level 0 data package and is included for context: This drying and warming experiment addresses the following questions: 1) Does ecosystem drying, warming and permafrost thaw cause a net release or uptake of C from the ecosystem to the atmosphere?, 2) Does the decomposition of old C that comprises the bulk of the soil C pool influence ecosystem C loss? 3) How do drying and warmign affect plant communities and ecosystem properties? We are answering these questions using a combined warming and drying experiment (DryPEHR), which is situated with the Carbon in Permafrost Experimental Heating Research (CiPEHR) project and located in an upland tundra field site near Healy, Alaska in the foothills of the Alaska Range. Warming treatment here refers to growing season air temperature warming (~1C) using open top chambers (OTC) combined with soil 'warming' using snow fences during the snow covered months. Drying is achieve using an automated pumping system that lowers the water table in the dry plots. Soil warming began in 2008; OTCs and drying in 2011. Above ground plant biomass was surveyed non-destructively using a point-intercept method for all vascular and moss species at peak growing season.
DOI: 10.5066/p9yopyw7
title: Input and Output Data for the Application of the Precipitation-Runoff Modeling System (PRMS) to Simulate Near-Native Streamflow in the Upper Rio Grande Basin

description: This data release contains input and output data from hydrologic simulations of naturalized or near-native streamflow conditions in the Upper Rio Grande Basin (URGB) in Colorado, New Mexico, Texas, and northern Mexico by using the Precipitation-Runoff Modeling System (PRMS). The Upper Rio Grande Basin PRMS model was calibrated in a three step process by (1) calibrating solar radiation and potential evapotranspiration parameters by subarea for hydrologic response units (HRU) in the model domain, (2) calibrating streamflow parameters in nine subbasins identified to be ?near-native? subbasins, or basins with low anthropogenic disturbance, and (3) distributing calibrated parameters from near-native subbasins to uncalibrated HRUs in the model domain. The data release contains the pre- and post-calibrated input and output data, for each of the three steps, needed to run PRMS to achieve the results presented in a U.S. Geological Survey Scientific Investigations Report (Chavarria and others, 2020).
DOI: 10.6084/m9.figshare.15057489
title: Cats Data

description: Dataset for cat experiment conditions 1-3, Humans Discriminate Individual Large-Billed Crows and Individual Cats by their Respective Vocalizations (Schalz, Meekings & Dickins 2021).
DOI: 10.6084/m9.figshare.15057489.v1
title: Cats Data

description: Dataset for cat experiment conditions 1-3, Humans Discriminate Individual Large-Billed Crows and Individual Cats by their Respective Vocalizations (Schalz, Meekings & Dickins 2021).
DOI: 10.5517/ccdc.csd.cc27nx1w
title: CCDC 2075668: Experimental Crystal Structure Determination

description: Related Article: Rodrigo Cervo, Thaísa R. R. Lopes, Adriana R. de Vasconcelos, Juliana F. Cargnelutti, Ricardo F. Schumacher, Bárbara Tirloni, Sailer S. dos Santos, Ulrich Abram, Ernesto S. Lang, Roberta Cargnelutti|2021|New J.Chem.|45|12863|doi:10.1039/D1NJ02374H
DOI: 10.5517/ccdc.csd.cc27nx2x
title: CCDC 2075669: Experimental Crystal Structure Determination

description: Related Article: Rodrigo Cervo, Thaísa R. R. Lopes, Adriana R. de Vasconcelos, Juliana F. Cargnelutti, Ricardo F. Schumacher, Bárbara Tirloni, Sailer S. dos Santos, Ulrich Abram, Ernesto S. Lang, Roberta Cargnelutti|2021|New J.Chem.|45|12863|doi:10.1039/D1NJ02374H
DOI: 10.5517/ccdc.csd.cc27nx3y
title: CCDC 2075670: Experimental Crystal Structure Determination

description: Related Article: Rodrigo Cervo, Thaísa R. R. Lopes, Adriana R. de Vasconcelos, Juliana F. Cargnelutti, Ricardo F. Schumacher, Bárbara Tirloni, Sailer S. dos Santos, Ulrich Abram, Ernesto S. Lang, Roberta Cargnelutti|2021|New J.Chem.|45|12863|doi:10.1039/D1NJ02374H