cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.17632/7pfjtn7xhv.1
title: Steroid hormone catabolites activate the pyrin inflammasome through a non-canonical mechanism.

description: Raw data and full western blot images
DOI: 10.17632/9cp4zxb9kz.1
title: Machine-learning analysis on creep rupture data

description: I will share the python code we used to analyze creep rupture time by machine learning.
Creep rupture data can be obtained from the published NIMS creep data sheet (https://smds.nims.go.jp/creep/).
DOI: 10.17632/5hcg7tddc4.1
title: web scraping

description: This dataset was scraped from the Crossrail website for the purpose of text analysis.
DOI: 10.17632/5hcg7tddc4.2
title: web scraping

description: This dataset was scraped from the Crossrail website for the purpose of text analysis.
DOI: 10.17632/xsv6jt53ym.1
title:  The GRACE codes for the study on "Increased wheat price spikes and larger economic inequality with 2C global warming"

description: This document includes all the programming codes of the version of GRACE used by this study on "Increased wheat price spikes and larger economic inequality with 2C global warming" that is published in One Earth (Zhang et al. 2022).
DOI: 10.17632/xsv6jt53ym.2
title:  The GRACE codes for the study on "Increased wheat price spikes and larger economic inequality with 2C global warming"

description: 1. The document (CodeGRACE.zip, the same as Version 1) includes all the programming codes of the version of GRACE used by Zhang et al. (2022). "Increased wheat price spikes and larger economic inequality with 2C global warming." One Earth 5(8): 907-916. DOI: 10.1016/j.oneear.2022.07.004.

2. In this version, the main region-level data of results simulated by GRACE are added, i.e., the zip file "ResultsData.zip".

3. No other updates in Version 2.
DOI: 10.5281/zenodo.7032920
title: Azimuth Reference - Human Adipose

description: Here we provide the reference data files used to run the Azimuth Human Adipose reference web application. For a full description of the reference data structure, please see the wiki at https://github.com/satijalab/azimuth/wiki/Azimuth-Reference-Format.
DOI: 10.5281/zenodo.7032919
title: Azimuth Reference - Human Adipose

description: Here we provide the reference data files used to run the Azimuth Human Adipose reference web application. For a full description of the reference data structure, please see the wiki at https://github.com/satijalab/azimuth/wiki/Azimuth-Reference-Format.
DOI: 10.17632/wzysk8hb3b.1
title: nsp7_linearpeptide

description: Datasets and scripts: RdRp inhibition study using linear template peptides.
DOI: 10.17632/3vgf69zc5y.1
title: LINF_320009800

description: Leucine Rich repeat-containing protein
Leishmania infantum (strain JPCM5)
DOI: 10.17632/yzjrhffpp2.1
title: How grants impact careers  - Sweden 1981-2020

description: Data from Swedish research councils - funding agencies - on grant applications and grants, data on scholarly performance (bibliometrics), and data on career (professor competence achieved) for 2,727 Ph.D. in medical and natural science that published a dissertation between 1985 and 1994. We follow their career until 2020. In a first analysis, we evaluate potential gender disparities in grant allocation using large-scale application data based on project registers held by Swedish funding agencies. The results of this analysis feed into the subsequent analysis – time to a professorship – where we study the indirect impact of the grant allocation on the promotion to a professor.
DOI: 10.17632/244yhvtxsz.2
title: JAAD-D-22-01027

description: Supplemental Materials and Methods for "Baricitinib for the treatment of cutaneous dermatomyositis: A prospective, open-label study".
DOI: 10.6084/m9.figshare.20751862
title: Chart.json.tar.gz

description: This is the artifact for APR RTS submission.
DOI: 10.6084/m9.figshare.20751862.v3
title: Chart.json.tar.gz

description: This is the artifact for APR RTS submission.
DOI: 10.6084/m9.figshare.20751862.v2
title: Chart.json.tar.gz

description: This is the artifact for APR RTS submission.
DOI: 10.6084/m9.figshare.20755780
title: Data masterfile_Walters and Isaacs 2022 Extreme heat effects on blueberry pollen.xlsx

description: Data masterfile for Walters and Isaacs (2022) "Pollen germination and tube growth in northern highbush blueberry (<em>Vaccinium corymbosum</em>: Ericaceae) are inhibited by extreme heat". Includes meta data sheet and data sheets for each experiment described in paper.
DOI: 10.6084/m9.figshare.20755780.v1
title: Data masterfile_Walters and Isaacs 2022 Extreme heat effects on blueberry pollen.xlsx

description: Data masterfile for Walters and Isaacs (2022) "Pollen germination and tube growth in northern highbush blueberry (<em>Vaccinium corymbosum</em>: Ericaceae) are inhibited by extreme heat". Includes meta data sheet and data sheets for each experiment described in paper.
DOI: 10.25452/figshare.plus.20425416
title: Inference Dataset for Paper: Deep learning-based approach to the characterization and quantification of histopathology in mouse models of colitis, PLoS One

description: Colitis mouse models have been heavily studied to elucidate the pathophysiology of human inflammatory bowel disease. As with patients, colitis mouse models exhibit the simultaneous presence of colonic regions that are histologically involved or uninvolved with disease. We have trained a ResNet-34 classifier to detect these regions from hematoxylin and eosin-stained whole murine colons. ‘Involved’ and ‘uninvolved’ image patches were gathered to cluster and identify histological patch classes. The per mouse proportions of these patch classes were then used to train machine learning classifiers to infer mouse model and clinical score bins. This dataset contains the whole slide images (WSIs) from our prospective mouse cohort. This allows others to run our code from WSI scaling and patch extraction to 1) patch-level ‘Involved’ and ‘Uninvolved’ predictions, 2) ‘Involved’ versus ‘Uninvolved’ prediction WSI overlay generations, 3) histological patch class detection, and 4) mouse model and clinical score bin inference.
DOI: 10.6084/m9.figshare.20752072
title: MSEs in LATAM countries

description: This research work is based on the data collected by Vázquez and Tayaksi (2020) whose purpose was to discuss the connection between SC practices and productivity. Now the objective is extend this analysis to know if different variables such, the time that the manager dedicates to different activities, characteristics of the manager: gender, age, level of education and country are affecting the performance of the company in SC and BP. The database is divided into three sheets, in DB1 the characteristics of the manager are observed, the questions validated in Business Practices (BP) and in Supply Chain Practices (SC) and the calculation in the indices by area and in total for BP and SC. In the last column you can see the cluster to which the company belongs after performing the Two Step Clustering. The second Excel sheet (DB2) also shows the name of the company and its characteristics, the name of the analyst, the day in which the data was taken, the start and end time of the activities by functional area and how many minutes spend . Finally, it is recorded if the activities were finished, important and planned. In the third Excel sheet (DB3) an SQL query of database 2 was made, to calculate the percentage of activities finished, planned, and planned that were finished by company, in addition to a summary of the minutes invested by company in each functional area.
DOI: 10.6084/m9.figshare.20752072.v1
title: MSEs in LATAM countries

description: This research work is based on the data collected by Vázquez and Tayaksi (2020) whose purpose was to discuss the connection between SC practices and productivity. Now the objective is extend this analysis to know if different variables such, the time that the manager dedicates to different activities, characteristics of the manager: gender, age, level of education and country are affecting the performance of the company in SC and BP. The database is divided into three sheets, in DB1 the characteristics of the manager are observed, the questions validated in Business Practices (BP) and in Supply Chain Practices (SC) and the calculation in the indices by area and in total for BP and SC. In the last column you can see the cluster to which the company belongs after performing the Two Step Clustering. The second Excel sheet (DB2) also shows the name of the company and its characteristics, the name of the analyst, the day in which the data was taken, the start and end time of the activities by functional area and how many minutes spend . Finally, it is recorded if the activities were finished, important and planned. In the third Excel sheet (DB3) an SQL query of database 2 was made, to calculate the percentage of activities finished, planned, and planned that were finished by company, in addition to a summary of the minutes invested by company in each functional area.
DOI: 10.17632/h4v878vgks.1
title: Bibliometric data of endocope on EGC.

description: This is a bibliometric data of endoscope on early gastric cancer over the past 20 years.
DOI: 10.17632/5vdjbv9b9n.1
title:  Analysis of Internet Users' Rhetorical vader Sentiment Ratings Based on YouTube

description: In this paper, the python-based Vader sentiment rating dictionary screens YouTube video comments for the most frequent rhetorical words and sentiment ratings from Western audiences.
DOI: 10.17632/wm2863vc8d.1
title: Societal Ageing and the Structure of Taxation

description: Data for the study "Societal Ageing and the Structure of Taxation"
DOI: 10.17632/rjpwyy8shj.1
title: Data bases systematic literature review. Learning analytics evaluating learning outcomes

description: This database contains the data and stages of a systematic literature review process for identifying the variables and factors associated with learning outcomes using learning analytics.
DOI: 10.17632/c694tfxs3h.1
title: Boas Práticas Escolares no ABC Paulista

description: O projeto de pesquisa enquadra-se no campo das ciências humanas na área da Educação, Linha de Pesquisa: Políticas e Gestão da Educação. Tem como objetivo estudar as boas práticas escolares em escolas da rede pública inseridas em regiões de alta vulnerabilidade social do Grande ABC Paulista, a partir do desempenho nas avaliações em larga escala.
DOI: 10.17632/tt3grr9zj7.1
title: The IRAK4 scaffold integrates TLR4-driven TRIF and MYD88 signaling pathways

description: Data for the paper "The IRAK4 scaffold integrates TLR4-driven TRIF and MYD88 signaling pathways"
DOI: 10.17632/w6cdt3sn99.3
title: Geochemistry and microbiology of tropical serpentine soils in the Santa Elena Ophiolite, a landscape-biogeographical approach

description: Data associated with manuscript "Geochemistry and microbiology of tropical serpentine soils in the Santa Elena Ophiolite, a landscape-biogeographical approach"
DOI: 10.17632/w6cdt3sn99.1
title: Geochemistry and microbiology of tropical serpentine soils in the Santa Elena Ophiolite, a landscape-biogeographical approach

description: Data associated with manuscript "Geochemistry and microbiology of tropical serpentine soils in the Santa Elena Ophiolite, a landscape-biogeographical approach"
DOI: 10.17632/w6cdt3sn99.2
title: Geochemistry and microbiology of tropical serpentine soils in the Santa Elena Ophiolite, a landscape-biogeographical approach

description: Data associated with manuscript "Geochemistry and microbiology of tropical serpentine soils in the Santa Elena Ophiolite, a landscape-biogeographical approach"
DOI: 10.34740/kaggle/dsv/4144723
title: Tales from the Pizza Guy
DOI: 10.5066/f7v69gq2
title: Coral cores collected in Dry Tortugas National Park, Florida, U.S.A.: Photographs and X-rays

description: Cores from living coral colonies were collected from Dry Tortugas National Park, Florida, to obtain skeletal records of past coral growth and allow geochemical reconstruction of environmental variables during the corals' centuries-long lifespans. The samples were collected as part of the U.S. Geological Survey (USGS) Coral Reef Ecosystems Studies project that provides science to assist resource managers tasked with the stewardship of coral reef resources. Three colonies each of the coral species Orbicella faveolata and Siderastrea siderea were collected in May 2012 as approved under National Park Service (NPS) scientific collecting permit number DRTO-2012-SCI-0001. These coral samples can be used to retroactively construct sea-surface temperature records by measuring the elemental ratio of strontium (Sr) to calcium (Ca), and are valuable for measuring additional paleoproxies as new methods are developed. Flannery and others (2017) includes temperature reconstructions using samples from one of the six (coral CG2) collected in this study. The core slabs described here, as well as others (see https://olga.er.usgs.gov/coreviewer/), can be requested on loan for further scientific study. Here we provide photographic images for each core depicting 1) the coral in its ocean environment, 2) the core as curated and slabbed, and 3) the X-rays of the slabs. More information on coring methods can be found in the associated U.S. Geological Survey Open-File Report 2016-1182 (Weinzierl and others, 2016). These coral samples are presently on loan from the NPS, stored at the USGS St. Petersburg Coastal and Marine Science Center in St. Petersburg, Florida, and cataloged under accession number DRTO-353. Flannery, J. A., Richey, J.N., Thirumalai, K., Poore, R.Z., and DeLong, K.L., 2017, Multi-species coral Sr/Ca based sea-surface temperature reconstruction using Orbicella faveolata and Siderastrea siderea from the Florida Straits: Palaeogeography, Palaeoclimatology, Palaeoecology, v. 466, p. 100-109, https://doi.org/10.1016/j.palaeo.2016.10.022. Weinzierl, M.S., Reich, C.D., Hickey, T.D., Bartlett, L.A., and Kuffner, I.B., 2016, Collection methods and descriptions of coral cores extracted from massive corals in Dry Tortugas National Park, Florida, U.S.A.: U.S. Geological Survey Open-File Report 2016-1182, 8 p., https://doi.org/10.3133/ofr20161182.
DOI: 10.5066/p9vqazn7
title: Calculated streamflow metrics for machine learning regionalization across the conterminous United States, 1950 to 2018
DOI: 10.21234/sszj-qv50
title: Density of GeV muons in air showers measured with IceTop

description: This data release accompanies results published in Physical Review D describing the measurement of the density of GeV muons with IceTop.
DOI: 10.5519/qd.i7qctn1h
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (1187 records)
DOI: 10.5281/zenodo.6951782
title: Replication package for: "Subsidizing Labor Hoarding in Recessions: The Employment & Welfare Effects of Short Time Work"

description: This package contains all the necessary code to replicate figures, tables and in-text statistics in Giupponi and Landais (forthcoming), "Subsidizing Labor Hoarding in Recessions: The Employment & Welfare Effects of Short Time Work", Review of Economic Studies. Detailed instructions are also provided on how to access the raw data.
DOI: 10.5281/zenodo.6951801
title: Replication package for: "Subsidizing Labor Hoarding in Recessions: The Employment & Welfare Effects of Short Time Work"

description: This package contains all the necessary code to replicate figures, tables and in-text statistics in Giupponi and Landais (forthcoming), "Subsidizing Labor Hoarding in Recessions: The Employment & Welfare Effects of Short Time Work", Review of Economic Studies. Detailed instructions are also provided on how to access the raw data.
DOI: 10.5281/zenodo.6951781
title: Replication package for: "Subsidizing Labor Hoarding in Recessions: The Employment & Welfare Effects of Short Time Work"

description: This package contains all the necessary code to replicate figures, tables and in-text statistics in Giupponi and Landais (forthcoming), "Subsidizing Labor Hoarding in Recessions: The Employment & Welfare Effects of Short Time Work", Review of Economic Studies. Detailed instructions are also provided on how to access the raw data.
DOI: 10.25574/54501
title: Chandra X-ray Observatory ObsId 54501
DOI: 10.25574/54506
title: Chandra X-ray Observatory ObsId 54506
DOI: 10.25574/54511
title: Chandra X-ray Observatory ObsId 54511
DOI: 10.25574/54517
title: Chandra X-ray Observatory ObsId 54517
DOI: 10.25574/54525
title: Chandra X-ray Observatory ObsId 54525
DOI: 10.25574/54530
title: Chandra X-ray Observatory ObsId 54530
DOI: 10.25574/54535
title: Chandra X-ray Observatory ObsId 54535
DOI: 10.25574/54541
title: Chandra X-ray Observatory ObsId 54541
DOI: 10.25574/54546
title: Chandra X-ray Observatory ObsId 54546
DOI: 10.25574/54548
title: Chandra X-ray Observatory ObsId 54548
DOI: 10.25574/54552
title: Chandra X-ray Observatory ObsId 54552
DOI: 10.25574/54557
title: Chandra X-ray Observatory ObsId 54557
DOI: 10.25574/54562
title: Chandra X-ray Observatory ObsId 54562
DOI: 10.25574/54568
title: Chandra X-ray Observatory ObsId 54568
DOI: 10.25574/54575
title: Chandra X-ray Observatory ObsId 54575
DOI: 10.25574/54588
title: Chandra X-ray Observatory ObsId 54588
DOI: 10.25574/54594
title: Chandra X-ray Observatory ObsId 54594
DOI: 10.25574/54603
title: Chandra X-ray Observatory ObsId 54603
DOI: 10.25574/54609
title: Chandra X-ray Observatory ObsId 54609
DOI: 10.25574/54614
title: Chandra X-ray Observatory ObsId 54614
DOI: 10.25574/54620
title: Chandra X-ray Observatory ObsId 54620
DOI: 10.25574/54626
title: Chandra X-ray Observatory ObsId 54626
DOI: 10.25574/54631
title: Chandra X-ray Observatory ObsId 54631
DOI: 10.25574/54633
title: Chandra X-ray Observatory ObsId 54633
DOI: 10.25574/54638
title: Chandra X-ray Observatory ObsId 54638
DOI: 10.25574/54644
title: Chandra X-ray Observatory ObsId 54644
DOI: 10.25574/54651
title: Chandra X-ray Observatory ObsId 54651
DOI: 10.25574/54659
title: Chandra X-ray Observatory ObsId 54659
DOI: 10.25574/54678
title: Chandra X-ray Observatory ObsId 54678
DOI: 10.25574/54685
title: Chandra X-ray Observatory ObsId 54685
DOI: 10.25574/54693
title: Chandra X-ray Observatory ObsId 54693
DOI: 10.25574/54702
title: Chandra X-ray Observatory ObsId 54702
DOI: 10.25574/54708
title: Chandra X-ray Observatory ObsId 54708
DOI: 10.25574/54714
title: Chandra X-ray Observatory ObsId 54714
DOI: 10.25574/54720
title: Chandra X-ray Observatory ObsId 54720
DOI: 10.25574/54726
title: Chandra X-ray Observatory ObsId 54726
DOI: 10.25574/54728
title: Chandra X-ray Observatory ObsId 54728
DOI: 10.25574/54732
title: Chandra X-ray Observatory ObsId 54732
DOI: 10.25574/54740
title: Chandra X-ray Observatory ObsId 54740
DOI: 10.25574/54749
title: Chandra X-ray Observatory ObsId 54749
DOI: 10.6084/m9.figshare.19626690.v4
title: Supplementary Table 1

description: List of eligible studies, variables description, and statistical models
DOI: 10.6084/m9.figshare.19626690.v5
title: Supplementary Table 1

description: List of eligible studies, variables description, and statistical models
DOI: 10.6084/m9.figshare.20747698.v1
title: Redox and spectral properties of substituted chlorophylls

description: Data for all computaions described in: <br> Pedro J. Silva, Maria Osswald-Claro and Rosário Mendonça (2022) "<strong>How to tune the absorption spectrum of chlorophylls to enable better use of the available solar spectrum." </strong> submitted
DOI: 10.6084/m9.figshare.20756668
title: Simulation results for all scenarios for the analysis of double-interval-censored competing risks data

description: These data contain the results of various simulation scenarios in the context of evaluating models performances for the analysis of double-interval-censored competing risks data.
DOI: 10.6084/m9.figshare.20756872
title: Species habitat loss from network to 2100

description: Output dataset
DOI: 10.6084/m9.figshare.20756872.v1
title: Species habitat loss from network to 2100

description: Output dataset
DOI: 10.48567/43pj-n107
title: Cathy Automatic Weather Station, Greenland, 1988 unmodified ten-minute observational data.
DOI: 10.48567/qpzx-kg85
title: Cathy Automatic Weather Station, Greenland, 1987 unmodified ten-minute observational data.
DOI: 10.48567/2t64-4k41
title: GISP2 Automatic Weather Station, Greenland, 1989 unmodified ten-minute observational data.
DOI: 10.48567/y4b1-tt04
title: Cathy Automatic Weather Station, Greenland, 1989 unmodified ten-minute observational data.
DOI: 10.48567/wtez-p986
title: Kenton Automatic Weather Station, Greenland, 1989 unmodified ten-minute observational data.
DOI: 10.48567/6hdq-0t24
title: GRIP Automatic Weather Station, Greenland, 1989 unmodified ten-minute observational data.
DOI: 10.48567/ydha-s240
title: GISP2 Automatic Weather Station, Greenland, 1993 unmodified ten-minute observational data.
DOI: 10.48567/q34q-z874
title: Julie Automatic Weather Station, Greenland, 1993 unmodified ten-minute observational data.
DOI: 10.48567/aney-5d07
title: Klinck Automatic Weather Station, Greenland, 1993 unmodified ten-minute observational data.
DOI: 10.48567/ff49-9n77
title: Matt Automatic Weather Station, Greenland, 1993 unmodified ten-minute observational data.
DOI: 10.48567/j0j8-7t05
title: Barber Automatic Weather Station, Greenland, 1993 unmodified ten-minute observational data.
DOI: 10.48567/jbkx-9n65
title: Kenton Automatic Weather Station, Greenland, 1993 unmodified ten-minute observational data.
DOI: 10.48567/n14m-v216
title: GISP2 Automatic Weather Station, Greenland, 1994 unmodified ten-minute observational data.
DOI: 10.48567/zp7e-7c06
title: Julie Automatic Weather Station, Greenland, 1994 unmodified ten-minute observational data.
DOI: 10.48567/sbxp-ct23
title: Klinck Automatic Weather Station, Greenland, 1994 unmodified ten-minute observational data.
DOI: 10.48567/89ze-my96
title: Matt Automatic Weather Station, Greenland, 1994 unmodified ten-minute observational data.
DOI: 10.48567/5pqp-2n65
title: Barber Automatic Weather Station, Greenland, 1994 unmodified ten-minute observational data.
DOI: 10.48567/bwrb-jg17
title: Kenton Automatic Weather Station, Greenland, 1994 unmodified ten-minute observational data.
DOI: 10.48567/wcce-3664
title: GISP2 Automatic Weather Station, Greenland, 1995 unmodified ten-minute observational data.
DOI: 10.48567/hbez-n413
title: Julie Automatic Weather Station, Greenland, 1995 unmodified ten-minute observational data.
DOI: 10.48567/4yth-5177
title: Klinck Automatic Weather Station, Greenland, 1995 unmodified ten-minute observational data.
DOI: 10.48567/t0cg-x667
title: Matt Automatic Weather Station, Greenland, 1995 unmodified ten-minute observational data.
DOI: 10.48567/hx4d-rr68
title: Barber Automatic Weather Station, Greenland, 1995 unmodified ten-minute observational data.
DOI: 10.48567/enwv-vp07
title: Kenton Automatic Weather Station, Greenland, 1995 unmodified ten-minute observational data.
DOI: 10.48567/5vdn-hx73
title: GISP2 Automatic Weather Station, Greenland, 1992 unmodified ten-minute observational data.
DOI: 10.48567/jc60-md04
title: Julie Automatic Weather Station, Greenland, 1992 unmodified ten-minute observational data.
DOI: 10.48567/86my-2g92
title: Klinck Automatic Weather Station, Greenland, 1992 unmodified ten-minute observational data.
DOI: 10.48567/ftt8-zq81
title: Matt Automatic Weather Station, Greenland, 1992 unmodified ten-minute observational data.
DOI: 10.48567/et3p-wn60
title: Barber Automatic Weather Station, Greenland, 1992 unmodified ten-minute observational data.
DOI: 10.48567/jfc5-6750
title: Kenton Automatic Weather Station, Greenland, 1992 unmodified ten-minute observational data.
DOI: 10.48567/zyfv-zt13
title: GISP2 Automatic Weather Station, Greenland, 1997 unmodified ten-minute observational data.
DOI: 10.48567/dfrh-4y11
title: Kenton Automatic Weather Station, Greenland, 1997 unmodified ten-minute observational data.
DOI: 10.48567/g6kg-kq22
title: GISP2 Automatic Weather Station, Greenland, 1990 unmodified ten-minute observational data.
DOI: 10.48567/vv94-m893
title: Klinck Automatic Weather Station, Greenland, 1990 unmodified ten-minute observational data.
DOI: 10.48567/y9ry-aq82
title: Barber Automatic Weather Station, Greenland, 1990 unmodified ten-minute observational data.