cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15151/esrf-es-1409599851
title: Structure of metalloproteins, membrane proteins, filamentous sarcomer proteins, and virus particles

description: Our work focusses on biological nitrogen fixation by Nitrogenase, on metalloenzymes and integral membrane proteins of bacterial and archaeal respiratory systems (Andrade/Einsle/Wohlwend), the working mechanism and regulation of medically relevant membrane proteins and complexes and their defects leading to pathologies (Hunte), bacterial antibiotic resistance factors and viral and bacterial proteins bound to their targets or inhibitors, and their interactions with glycans (Stehle/Zocher), human S100 proteins involved in nutritional immunity, USP18 enforcing the endogenous antiviral interferon response, and the respiratory complex NQR of V. cholerae (Fritz), DNA Polymerases with artificial substrates (Benz), and on multi-domain components of the sarcomeric filamentous protein titin and their binding to the E3 ubiquitin ligase MuRF1 and the central myosin rod-domain (Mayans).
DOI: 10.15151/esrf-es-1334153379
title: Acoustic velocites of (MgxFe1-x)2SiO4 wadsleyite

description: By comparing laboratory elasticity data with the seismic observations, constraints on the mineralogy, chemistry, and temperature of the mantle and core can
be obtained. Wadsleyite (beta-(Mg,Fe)2SiO4), the high-pressure polymorph of olivine (alpha-(Mg,Fe)2SiO4), is the dominant mineral from 410 km to 520 km depth in the Earth’s mantle transition zone. However, all existing measurements of its elastic properties are restricted to pressure and temperature conditions significantly below those of the mantle geotherm, with many made outside wadsleyite’s stability field. We propose to experimentally measure the acoustic velocities of wadsleyite with compositions between Mg2SiO4 and (Mg0.7Fe0.3)2SiO4 at relevant mantle PT conditions using ultrasonic interferometry in the multi-anvil press. When combined with synchrotron X-ray source, it’s possible to accurately determine the pressure, density and length of the sample, therefore allow precise sound wave velocities to be obtained.
DOI: 10.6084/m9.figshare.25282429.v5
title: mpfc_pseudobulk_raw_hic

description: UCSC track hub
DOI: 10.5281/zenodo.10618817
title: LLM-CompDroid: Repairing Configuration Compatibility Bugs in Android Apps with Pre-trained Large Language Models - Artifact

description: This repository contains the paper's experimental results and raw data.

You can find prompt templates here.

Notice: Bard will now simply be known as Gemini.
DOI: 10.5281/zenodo.10618818
title: LLM-CompDroid: Repairing Configuration Compatibility Bugs in Android Apps with Pre-trained Large Language Models - Artifact

description: This repository contains the paper's experimental results and raw data.

You can find prompt templates here.

Notice: Bard will now simply be known as Gemini.
DOI: 10.34740/kaggle/dsv/7395319
title: Cars Dataset
DOI: 10.6084/m9.figshare.25284994
title: Supplementary Material for: The effect of positive pressure ventilation on Acute Kidney Injury in COVID-19 patients with Acute Respiratory Distress Syndrome. An observational study.

description: Introduction: Acute kidney injury (AKI) is frequent in critically ill COVID-19 patients and is associated with a higher mortality risk. By increasing intrathoracic pressure, positive pressure ventilation (PPV) may reduce renal perfusion pressure by reducing venous return to the heart or by increasing renal venous congestion. This study’s aim was to evaluate the association between AKI and hemodynamic and ventilatory parameters in COVID-19 patients with ARDS. 
Methods: this is a single-centre retrospective observational study. Consecutive patients diagnosed with COVID-19 who met ARDS criteria and required invasive mechanical ventilation were enrolled. 
The relationship between respiratory and hemodynamic parameters influenced by positive pressure ventilation and AKI development was evaluated. AKI was defined according to KDIGO criteria. AKI recovery was evaluated a month after ICU admission and patients were classified as “recovered”, if serum creatinine (sCr) value returned to baseline, or as having “acute kidney disease” (AKD), if criteria for AKI stage 1 or greater persisted. The 6-month all-cause mortality was collected. 
Results: 144 patients were included in the analysis. AKI occurred in 69 (48%) patients and 26 (18%) required Renal Replacement Therapy (RRT). In a multivariate logistic regression analysis, sex, hypertension, cumulative dose of furosemide, fluid balance, and plateau pressure were independently associated with AKI. Mortality at 6 months was 50% in the AKI group and 32% in the non-AKI group (p=0.03). Among 36 patients who developed AKI and were discharged alive from the hospital, 56% had a full renal recovery after a month, while 14%, 6% and 14% were classified as having an Acute Kidney Disease (AKD) of stage 0, 2 and 3, respectively.
Conclusions: in our cohort, AKI was independently associated with multiple variables, including high plateau pressure, suggesting a possible role of positive pressure ventilation on AKI development. Further studies are needed to clarify the role of mechanical ventilation on renal function.
DOI: 10.6084/m9.figshare.25284943
title: Chromosome-level genome assembly of the predatory stink bug Arma custos (Hemiptera: Pentatomidae)

description: Chromosome-level genome assembly of the predatory stink bug Arma custos (Hemiptera: Pentatomidae)
DOI: 10.5281/zenodo.6135658
title: qdgc Mauritius

description: QDGC tables delivered in geopackage file


QDGC represents a way of making (almost) equal area squares covering a specific area to represent specific qualities of the area covered. The squares themselves are based on the degree squares covering earth. Around the equator we have 360 longitudinal lines , and from the north to the south pole we have 180 latitudinal lines. Together this gives us 64800 segments or tiles covering earth.

Within each geopackage file you will find a number of tables with these names:

-tbl_qdgc_01
-tbl_qdgc_02
-tbl_qdgc_03
-tbl_qdgc_04
-tbl_qdgc_05
-etc

The attributes for each table are:



	
qdgc Unique Quarter Degree Grid Cell reference string
	
area_reference Country
	
level_qdgc QDGC level
	
cellsize degrees decimal degree for the longitudal and latitudal length of the cell
	
lon_center Longitude center of the cell
	
lat_center Latitudal center of the cell
	
area_km2 Calculated area for the cell
	
geom Geometry




Metadata
Geodata GCS_WGS_1984
Datum: D_WGS_1984
Prime Meridian: 0

Areas are calculated with different versions of Albers Equal Area Conic using the PostGIS function st_area. For the African continent I have used Africa Albers Equal Area Conic which will look like this:
- st_area(st_transform(geom, 102022))/1000000)

Licensing
Creative Commons Attribution 4.0 International

Conditions
Delivered to the user as-is. No guarantees. If you find errors, please tell me and I will try to fix it. Suggestions for improvements can be addressed to the github repository: https://github.com/ragnvald/qdgc

Thank you
The work has over the years been supported and received advice and moral support from many organisations and stakeholders. Here are some of them:
- Tanzania Wildlife Research Institute
- Dept of Biology, NTNU, Norway
- Norwegian Environment Agency
- Eivin Røskaft, Steven Prager, Howard Frederick, Julian Blanc, Honori Maliti, Paul Ramsey

References
----------
* http://en.wikipedia.org/wiki/QDGC
* http://www.mindland.com/wp/projects/quarter-degree-grid-cells/about-qdgc/
* http://en.wikipedia.org/wiki/Lambert_azimuthal_equal-area_projection
* http://www.safe.com


Ragnvald Larsen
Trondheim 10th of February, 2022



ragnvald@mindland.com
www.mindland.com
description: All island groups has a 50 km buffer around them. Thus the coverage should be excellent for sensitivity atlases and similar.
DOI: 10.5281/zenodo.6036657
title: qdgc Mauritius

description: QDGC tables delivered in geopackage file


QDGC represents a way of making (almost) equal area squares covering a specific area to represent specific qualities of the area covered. The squares themselves are based on the degree squares covering earth. Around the equator we have 360 longitudinal lines , and from the north to the south pole we have 180 latitudinal lines. Together this gives us 64800 segments or tiles covering earth.

Within each geopackage file you will find a number of tables with these names:

-tbl_qdgc_01
-tbl_qdgc_02
-tbl_qdgc_03
-tbl_qdgc_04
-tbl_qdgc_05
-etc

The attributes for each table are:



	
qdgc Unique Quarter Degree Grid Cell reference string
	
area_reference Country
	
level_qdgc QDGC level
	
cellsize degrees decimal degree for the longitudal and latitudal length of the cell
	
lon_center Longitude center of the cell
	
lat_center Latitudal center of the cell
	
area_km2 Calculated area for the cell
	
geom Geometry




Metadata
Geodata GCS_WGS_1984
Datum: D_WGS_1984
Prime Meridian: 0

Areas are calculated with different versions of Albers Equal Area Conic using the PostGIS function st_area. For the African continent I have used Africa Albers Equal Area Conic which will look like this:
- st_area(st_transform(geom, 102022))/1000000)

Licensing
Creative Commons Attribution 4.0 International

Conditions
Delivered to the user as-is. No guarantees. If you find errors, please tell me and I will try to fix it. Suggestions for improvements can be addressed to the github repository: https://github.com/ragnvald/qdgc

Thank you
The work has over the years been supported and received advice and moral support from many organisations and stakeholders. Here are some of them:
- Tanzania Wildlife Research Institute
- Dept of Biology, NTNU, Norway
- Norwegian Environment Agency
- Eivin Røskaft, Steven Prager, Howard Frederick, Julian Blanc, Honori Maliti, Paul Ramsey

References
----------
* http://en.wikipedia.org/wiki/QDGC
* http://www.mindland.com/wp/projects/quarter-degree-grid-cells/about-qdgc/
* http://en.wikipedia.org/wiki/Lambert_azimuthal_equal-area_projection
* http://www.safe.com


Ragnvald Larsen
Trondheim 10th of February, 2022



ragnvald@mindland.com
www.mindland.com
description: All island groups has a 50 km buffer around them. Thus the coverage should be excellent for sensitivity atlases and similar.
DOI: 10.5281/zenodo.6036658
title: qdgc Mauritius

description: <strong>QDGC tables delivered in geopackage file</strong> QDGC represents a way of making (almost) equal area squares covering a specific area to represent specific qualities of the area covered. The squares themselves are based on the degree squares covering earth. Around the equator we have 360 longitudinal lines , and from the north to the south pole we have 180 latitudinal lines. Together this gives us 64800 segments or tiles covering earth.<br> <br> Within each geopackage file you will find a number of tables with these names:<br> <br> -tbl_qdgc_01<br> -tbl_qdgc_02<br> -tbl_qdgc_03<br> -tbl_qdgc_04<br> -tbl_qdgc_05<br> -etc<br> <br> The attributes for each table are: qdgc Unique Quarter Degree Grid Cell reference string area_reference Country level_qdgc QDGC level cellsize degrees decimal degree for the longitudal and latitudal length of the cell lon_center Longitude center of the cell lat_center Latitudal center of the cell area_km2 Calculated area for the cell geom Geometry <br> Metadata<br> Geodata GCS_WGS_1984<br> Datum: D_WGS_1984<br> Prime Meridian: 0<br> <br> Areas are calculated with different versions of Albers Equal Area Conic using the PostGIS function st_area. For the African continent I have used Africa Albers Equal Area Conic which will look like this:<br> - st_area(st_transform(geom, 102022))/1000000)<br> <br> <strong>Licensing</strong><br> Creative Commons Attribution 4.0 International<br> <br> <strong>Conditions</strong><br> Delivered to the user as-is. No guarantees. If you find errors, please tell me and I will try to fix it. Suggestions for improvements can be addressed to the github repository: https://github.com/ragnvald/qdgc<br> <br> <strong>Thank you</strong><br> The work has over the years been supported and received advice and moral support from many organisations and stakeholders. Here are some of them:<br> - Tanzania Wildlife Research Institute<br> - Dept of Biology, NTNU, Norway<br> - Norwegian Environment Agency<br> - Eivin Røskaft, Steven Prager, Howard Frederick, Julian Blanc, Honori Maliti, Paul Ramsey<br> <br> References<br> ----------<br> * http://en.wikipedia.org/wiki/QDGC<br> * http://www.mindland.com/wp/projects/quarter-degree-grid-cells/about-qdgc/<br> * http://en.wikipedia.org/wiki/Lambert_azimuthal_equal-area_projection<br> * http://www.safe.com<br> <br> <br> Ragnvald Larsen<br> Trondheim 10th of February, 2022<br> <br> <br> <br> ragnvald@mindland.com<br> www.mindland.com
description: All island groups has a 50 km buffer around them. Thus the coverage should be excellent for sensitivity atlases and similar.
DOI: 10.5281/zenodo.10701666
title: ВЛИЯНИЕ ТЕХНОЛОГИЙ ИСКУССТВЕННОГО ИНТЕЛЛЕКТА НА ТРАНСФОРМАЦИЮ ВЫСШЕГО ОБРАЗОВАНИЯ
DOI: 10.5281/zenodo.10701667
title: ВЛИЯНИЕ ТЕХНОЛОГИЙ ИСКУССТВЕННОГО ИНТЕЛЛЕКТА НА ТРАНСФОРМАЦИЮ ВЫСШЕГО ОБРАЗОВАНИЯ
DOI: 10.15151/esrf-es-1526116057
title: Structural characterization of minor spliceosomal U11/U12 di-snRNP complex by cryo-EM

description: The minor spliceosome is an RNA-protein complex used in the removal of a rare class of so called U12-dependent introns form precursors of messenger RNAs. These introns are present in many essential genes and are relevant for human health. Our sample, the minor spliceosomal U11/U12 di-snRNP, is responsible for the recognition of the minor intron during the early stages of the splicing reaction.
DOI: 10.6084/m9.figshare.25020434.v1
title: Observation of geometric phase effect through backward angular oscillations in the H+HD→H2+D reaction

description: The data presented in the article "Observation of geometric phase effect through backward angular oscillations in the H + HD → H2 + D reaction" by Shihao Li et al.
DOI: 10.6084/m9.figshare.25020434
title: Observation of geometric phase effect through backward angular oscillations in the H+HD→H2+D reaction

description: The data presented in the article "Observation of geometric phase effect through backward angular oscillations in the H + HD → H2 + D reaction" by Shihao Li et al.
DOI: 10.34740/kaggle/dsv/7696576
title: Egypt Gold Prices | Daily Updated
DOI: 10.5281/zenodo.10701676
title: "КАНЗУДДАҚОИҚ" АСАРИ ҲАНАФИЙ МАЗҲАБИНИНГ МЎЪТАБАР МАНБАЛАРИДАН БИРИ СИФАТИДА
DOI: 10.5281/zenodo.10701677
title: "КАНЗУДДАҚОИҚ" АСАРИ ҲАНАФИЙ МАЗҲАБИНИНГ МЎЪТАБАР МАНБАЛАРИДАН БИРИ СИФАТИДА
DOI: 10.15468/wcnvrn
title: Parc éolien Plat de Graniers-Plat des Graniers Suivi de la mortalité 2022

description: Suivi de la mortalité en 2022 Plat des Graniers
DOI: 10.15468/e5j7gp
title: Parc éolien Plat de Graniers-Plat des Graniers Suivi automatisé des chiroptères

description: Suivi automatisé des chiroptères sur le parc éolien de Plat des Graniers
DOI: 10.15468/feys6f
title: Par éolien de Cambouisset - Corbières Méditerannée-Cambouisset Suivi mortalité 2022

description: Suivi de la mortalité de l'avifaune et des chiroptères sur le parc éolien de Cambouisset en 2022
DOI: 10.26180/5c6e1160b8d8a
title: Data and R Markdown Notebook for <i>Pemahaman kuantitatif dasar dan penerapannya dalam mengkaji keterkaitan antara bentuk dan makna</i>

description: Here you can find the R Markdown Notebook, dataset, and other materials for an open-access paper (in Indonesian) on <b>Linguistik Indonesia</b>, the journal of the <b>Linguistic Society of Indonesia</b> (<i>Masyarakat Linguistik Indonesia</i> [MLI]) (cf. further below for how to run them in R):<br>Paper citation:Rajeg, G. P. W., & Rajeg, I. M. (2019). Pemahaman kuantitatif dasar dan penerapannya dalam mengkaji keterkaitan antara bentuk dan makna. <i>Linguistik Indonesia</i>, <i>37</i>(1), 13–31. http://ojs.linguistik-indonesia.org/index.php/linguistik_indonesia/article/view/87/83<br>The post-print version after peer-review (without the journal's layout and paginating) is available at INA-Rxiv. This figshare repository is imported from its GitHub repo (see the Release page for versioning of the repo).<br>If you use data and codes from this repository, please cite this repository via the dark pink <code>Cite</code> button. The default citation style is <code>"DataCite"</code>.<br><br>The paper introduces the basics of chi-square test as a significance test of independence with application on the study of form-meaning relationship in the lexical field for the word "hot" (i.e. <i>panas</i>) in Indonesian.<br>To run the codes in the R Notebook, you need to have the latest version of R and RStudio installed. The codes in the Notebook also use the tidyverse and vcd R packages. To render the notebook into MS Word document, we use the bookdown package. So make sure these packages are installed in R.<br><br><b>How to run the codes in the R Notebook</b><br><b><br></b>1. Download this repository by clicking the <code>Download</code> button next to the <code>Cite</code> button.<br>2. Unzip the file if it is not automatically unzipped. For macOS, the file is automatically unzipped into a folder that begins with <code>gederajeg-pemahaman_kuantitatif_...</code><br>3. Go to this folder and double-click the file with <code>.Rproj</code> extension (i.e. <code>2018 Oct - PANAS.Rproj</code>). This will open up an RStudio session whose working directory is associated with the contents of this folder.<br>4. Then, double-click on the <code>panas_paper.Rmd</code> that will be open in the RStudio session. This <code>.Rmd</code> file contains the main text and R codes of the published paper.<br>5. Next, you can run all the codes in the file using shortcut ALT+Ctrl/Cmd+R. <br>6. After running all the codes, you can preview in RStudio the rendered filed as R Notebook, which is an html document. To do this, click the dropdown arrow within the <code>Knit</code> button in the open <code>.Rmd</code> file, select <code>Preview Notebook</code>, then click the <code>Preview</code> button.
DOI: 10.6084/m9.figshare.25285006
title: Strength damage analysis on cement-and-fly ash treated organic soils subjected to freeze-thaw cycles.7z

description: Organic soil is usually required to be improved/treated before engineering construction, especially in cold regions. In this study, cement and fly ash are adopted as additives to stabilize the organic soil. A photogrammetric method is proposed to accurately reconstruct the surface of these cement-and-fly ash treated organic soils, and measure the volume before and after freeze thaw cycles (F-T-C). Meantime, unconfined compression (U-C) test was performed to evaluate the performance of these specimens after different numbers of F-T-C, and the influence of organic content on specimens behavior also was investigated. These results indicated that an increase in the cement content enhanced the resistance of the organic soils against volume change before and after F-T-C. The adoption of cement and fly ash at proper contents significantly improve the unconfined compression strength (UCS) of organic soils subjected to different number of F-T-C. The 15% organic matter content is an important boundary for reflecting the engineering properties of treated organic soil. A stress-strain curve prediction model was established with consideration of the number of F-T-C and volumetric change after the F-T-C.
DOI: 10.6084/m9.figshare.25285006.v1
title: Strength damage analysis on cement-and-fly ash treated organic soils subjected to freeze-thaw cycles.7z

description: Organic soil is usually required to be improved/treated before engineering construction, especially in cold regions. In this study, cement and fly ash are adopted as additives to stabilize the organic soil. A photogrammetric method is proposed to accurately reconstruct the surface of these cement-and-fly ash treated organic soils, and measure the volume before and after freeze thaw cycles (F-T-C). Meantime, unconfined compression (U-C) test was performed to evaluate the performance of these specimens after different numbers of F-T-C, and the influence of organic content on specimens behavior also was investigated. These results indicated that an increase in the cement content enhanced the resistance of the organic soils against volume change before and after F-T-C. The adoption of cement and fly ash at proper contents significantly improve the unconfined compression strength (UCS) of organic soils subjected to different number of F-T-C. The 15% organic matter content is an important boundary for reflecting the engineering properties of treated organic soil. A stress-strain curve prediction model was established with consideration of the number of F-T-C and volumetric change after the F-T-C.
DOI: 10.34740/kaggle/dsv/7696760
title: AutoXGB
DOI: 10.34740/kaggle/dsv/7696762
title: OnlineFree
DOI: 10.14768/99d68638-53d3-49b6-9af4-c19f21670a8e
title: NEMO-PISCES DSi concentration in the Labrador Sea

description: This focus on the Labrador Sea is part of the global NEMO-PISCES model used in the publication "Contribution of physical processes to dissolved silica variability in the Labrador Sea between 1980-2015" by Dale et al., to be submitted in Geophysical Research Letters. The variables provided are as follows: dissolved silica (Grid_T), conservative temperature (Grid_T), absolute Salinity (Grid_T), mixed layer depth (Grid_T), specificity of the grid (mesh_mask), effective transport (Grid_U and Grid_V). The associated paper investigates the drivers of the decline in the pre-bloom Dissolved Silica (DSi) inventory observed in the upper layer (0-450 m) of the Labrador Sea between 1994-2007 and its InterAnnual Variability (IAV) over the 1980-2015 period. It assesses the relative contributions of the variability of deep winter convection (DWC) and inflow from the Arctic as DSi sources using an eddy-permitting biogeochemical ocean general circulation model. The IAV of the upper layer DSi inventory co-varies with both the Arctic inflow and DWC. The pre-bloom decline seems driven by the DWC and induced winter vertical mixing, while the Arctic inflow’s contribution is negligible. Our study suggests that the inventory decline is part of its natural decadal variability influenced by two major climate modes, the North Atlantic and the Arctic Oscillations. The former appears to be the main control. Reference (article) : Dale, A., Alekseenko, E., Ethé, C., Bénard, G. Wallace, D.W.R., Gehlen, M. Contribution of physical processes to dissolved silica variability in the Labrador Sea between 1980-2015. To be submitted to Geophysical Research Letters.