cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.6517150
title: Example Lminor dataset for Seq2Fun issue #3 (Github)

description: This is the example dataset for the Seq2Fun issue #3 posted on github here. The compressed archive contains the following files: Directory (<em>raw_reads</em>) which contains subsampled (250k reads) mRNA-Seq fastq files (single-read 50bp) from full <em>Lemna minor</em> extracts. (For the files a respective multiQC html report from our RNASeq mapping pipeline is provided.) Sample table for batch processing (<em>lminor_sampleTable.tab</em>). Bash script (<em>seq2fun_analysis.sh</em>)<em> </em>to perform Seq2Fun analysis (runs smoothly without an error but is unable to map any reads) Output directory (<em>seq2fun</em>) with the files created with the <em>seq2fun_analysis.sh</em> script. I hope the provided files will help to solve the issue.
DOI: 10.48370/ofd/yv1jhc/b2nxvv
title: MRIPAS_coll_166999_BisonBonasus_1998_F_sub_ad_skull_with_horns_scan3D.stl

description: skull with horns
DOI: 10.48370/ofd/yv1jhc/l9uguq
title: MRIPAS_coll_166999_BisonBonasus_1998_F_sub_ad_skull_without_horns_scan3D.stl

description: skull without horns
DOI: 10.48370/ofd/yv1jhc/mbn8l1
title: MRIPAS_coll_166999_BisonBonasus_1998_F_sub_ad_jaw_scan3D.stl

description: jaw
DOI: 10.48370/ofd/yv1jhc
title: Bison bonasus - 166999, Zoological collection of the Mammal Research Institute, PAS

description: Bison bonasus (European bison) from Zoological collection of the Mammal Research Institute, PAS. Collected 1998-12-15 in: Białowieża Forest, Poland. Material type: skull, jaw
DOI: 10.48370/ofd/qbmwfx/ww8zrc
title: MRIPAS_coll_166933_BisonBonasus_1998_F_ad_jaw_scan3D.stl

description: jaw
DOI: 10.48370/ofd/qbmwfx/o4fm6v
title: MRIPAS_coll_166933_BisonBonasus_1998_F_ad_skull_without_horns_scan3D.rar

description: skull without horns
DOI: 10.48370/ofd/qbmwfx/pz4qy8
title: MRIPAS_coll_166933_BisonBonasus_1998_F_ad_skull_with_horns_scan3D.rar

description: skull with horns
DOI: 10.48370/ofd/qbmwfx/f5rpkh
title: MRIPAS_coll_166933_BisonBonasus_1998_F_ad_skull_with_horns_scan3D_small.stl

description: skull with horns
DOI: 10.48370/ofd/qbmwfx/pi9rim
title: MRIPAS_coll_166933_BisonBonasus_1998_F_ad_skull_without_horns_scan3D_small.stl

description: skull without horns
DOI: 10.48370/ofd/qbmwfx
title: Bison bonasus - 166933, Zoological collection of the Mammal Research Institute, PAS

description: Bison bonasus (European bison) from Zoological collection of the Mammal Research Institute, PAS. Collected 1998-11-13 in: Białowieża Forest, Poland. Material type: skull, jaw
DOI: 10.48370/ofd/94bnwg
title: Phlebia rufa (Pers.) M.P.Christ., 405

description: Fungarium Macromycetes
DOI: 10.34740/kaggle/dsv/3575003
title: Russian Invasion of Ukraine
DOI: 10.48370/ofd/towhyi/kvs8s7
title: MRIPAS_coll_166996_BisonBonasus_1998_M_ad_skull_with_horns_scan3D.rar

description: skull with horns
DOI: 10.48370/ofd/towhyi/9sjcts
title: MRIPAS_coll_166996_BisonBonasus_1998_M_ad_jaw_scan3D.stl

description: jaw
DOI: 10.48370/ofd/towhyi/5gijws
title: MRIPAS_coll_166996_BisonBonasus_1998_M_ad_skull_without_horns_scan3D.rar

description: skull without horns
DOI: 10.48370/ofd/towhyi/m5fjfn
title: MRIPAS_coll_166996_BisonBonasus_1998_M_ad_skull_with_horns_scan3D_small.stl

description: skull with horns
DOI: 10.48370/ofd/towhyi/vdcmkz
title: MRIPAS_coll_166996_BisonBonasus_1998_M_ad_skull_without_horns_scan3D_small.stl

description: skull without horns
DOI: 10.48370/ofd/towhyi
title: Bison bonasus - 166996, Zoological collection of the Mammal Research Institute, PAS

description: Bison bonasus (European bison) from Zoological collection of the Mammal Research Institute, PAS. Collected 1998-12-14 in: Białowieża Forest, Poland. Material type: skull, jaw
DOI: 10.48370/ofd/6rpjw5/wzrt1o
title: MRIPAS_coll_167029_BisonBonasus_1999_F_ad_jaw_scan3D.stl

description: jaw
DOI: 10.48370/ofd/6rpjw5/54nact
title: MRIPAS_coll_167029_BisonBonasus_1999_F_ad_skull_without_horns_scan3D.stl

description: skull without horns
DOI: 10.48370/ofd/6rpjw5/cathzj
title: MRIPAS_coll_167029_BisonBonasus_1999_F_ad_skull_with_horns_skull_scan3D.rar

description: skull with horns
DOI: 10.48370/ofd/6rpjw5/asqgnv
title: MRIPAS_coll_167029_BisonBonasus_1999_F_ad_skull_with_horns_scan3D_small.stl

description: skull with horns
DOI: 10.48370/ofd/6rpjw5
title: Bison bonasus - 167029, Zoological collection of the Mammal Research Institute, PAS

description: Bison bonasus (European bison) from Zoological collection of the Mammal Research Institute, PAS. Collected 1999-01-12 in: Białowieża Forest, Poland. Material type: skull, jaw
DOI: 10.5255/ukda-sn-855695
title: Mobilising Voluntary Action in the Four UK Jurisdictions: Policy Review, 2010-2021

description: We have identified, accessed and assembled relevant policy documents. These documents have been born digitally and have been downloaded from websites already in the public domain. Some of the source materials are no longer available online. PDF's can be requested from Professor Ewen Speed
DOI: 10.5255/ukda-sn-855697
title: Mobilising Voluntary Action in the Four UK Jurisdictions: Anonymised User Data from Digital Volunteer Matching Tools, 2020-2021

description: The data collections consists of two sets of anonymised user data, containing location of volunteering activity, socio-demographic factors and efficacy factors e.g. time taken to onboard volunteers, speed of deployment, number of deployments will be created for status on day one of months March 2020 – March 2021. Data tables will be in CSV.
DOI: 10.5255/ukda-sn-855699
title: Mobilising Voluntary Action in the Four UK Jurisdictions: National Surveys, 2021

description: National teams developed bespoke surveys for each nation. The findings were summarised in national reports. The data tables from the surveys in England, Northern Ireland, and Wales (English and Welsh) are available in this record, as are the national reports
DOI: 10.48370/ofd/agu4cz
title: Phlebia rufa (Pers.) M.P.Christ., 460

description: Fungarium Macromycetes
DOI: 10.48370/ofd/tsuh58/hh1js2
title: MRIPAS_coll_170248_BisonBonasus_2013_F_ad_skull_with_horns_scan3D.rar

description: sull with horns
DOI: 10.48370/ofd/tsuh58/qysa73
title: MRIPAS_coll_170248_BisonBonasus_2013_F_ad_jaw_scan3D.stl

description: jaw
DOI: 10.48370/ofd/tsuh58/yt5ejr
title: MRIPAS_coll_170248_BisonBonasus_2013_F_ad_skull_without_horns_scan3D.rar

description: skull without horns
DOI: 10.48370/ofd/tsuh58/niqyof
title: MRIPAS_coll_170248_BisonBonasus_2013_F_ad_skull_with_horns_scan3D.stl

description: skull with horns
DOI: 10.48370/ofd/tsuh58/zymu6a
title: MRIPAS_coll_170248_BisonBonasus_2013_F_ad_skull_without_horns_scan3D_small.stl

description: skull without horns
DOI: 10.48370/ofd/tsuh58
title: Bison bonasus - 170248, Zoological collection of the Mammal Research Institute, PAS

description: Bison bonasus (European bison) from Zoological collection of the Mammal Research Institute, PAS. Collected 2013-04-05 in: near Leśna village, Poland. Material type: skull, jaw
DOI: 10.6084/m9.figshare.5847240
title: Response modelling approach to robust parameter design methodology using supersaturated designs

description: In recent years, both robust parameter designs (RPDs) and supersaturated designs (SSDs) have attracted a great deal of attention. In the present article, a combination of the above two techniques is considered. More precisely, we propose a construction of an effective SSD along with an analysis method in order to deal with the significant problem of the robust parameter design methodology (RPDM). Combining iterative Sure Independence Screening (SIS) variable selection and a penalized method, namely smoothly clipped absolute deviation (SCAD), we perform an analysis of the SSDs developed in the present work. The proposed methodology is applied in different models so as to show its effectiveness in many different scenarios, assuming both first-and second-order models of a response surface design. Two illustrative examples as well as numerous numerical experiments are conducted for plenty of cases. The results imply that the proposed method is highly effective for identifying the active effects of main factors, two-factor interactions, three-factor interactions, and the pure quadratic ones, under the assumption of effect sparsity.
DOI: 10.6084/m9.figshare.5847240.v1
title: Response modelling approach to robust parameter design methodology using supersaturated designs

description: In recent years, both robust parameter designs (RPDs) and supersaturated designs (SSDs) have attracted a great deal of attention. In the present article, a combination of the above two techniques is considered. More precisely, we propose a construction of an effective SSD along with an analysis method in order to deal with the significant problem of the robust parameter design methodology (RPDM). Combining iterative Sure Independence Screening (SIS) variable selection and a penalized method, namely smoothly clipped absolute deviation (SCAD), we perform an analysis of the SSDs developed in the present work. The proposed methodology is applied in different models so as to show its effectiveness in many different scenarios, assuming both first-and second-order models of a response surface design. Two illustrative examples as well as numerous numerical experiments are conducted for plenty of cases. The results imply that the proposed method is highly effective for identifying the active effects of main factors, two-factor interactions, three-factor interactions, and the pure quadratic ones, under the assumption of effect sparsity.
DOI: 10.17028/rd.lboro.5845683
title: Y11_data

description: Data file for "Measuring conceptual understanding: The case of teaching differential calculus using contextualised and decontextualised representations."<br>Please see the file "codebook.txt" for further information about the codes used in the main csv file.
DOI: 10.6084/m9.figshare.5845620
title: Using Multiple Methods to Understand the Nature of Relationships in Social Networks

description: Effective natural resource management (NRM) often depends on collaboration through formal and informal relationships. Social network analysis (SNA) provides a framework for studying social relationships; however, a deeper understanding of the nature of these relationships is often missing. By integrating multiple analytical methods (including SNA, evidence ratings, and perception matrices), we were able to investigate the nature of relationships in NRM social networks across five service types (e.g., technical advice, on-ground support) in our case study region, Daly catchment Australia. Only one service type was rated as highly associated with free choice in establishing relationships: technical advice/knowledge. Beneficial characteristics of NRM organizations, such as <i>collaborative</i> and <i>transparent</i>, were associated with the presence of freely chosen relationships between organizations. Our results suggest a need to improve our understanding of organizational roles and characteristics, in particular for use in applied NRM contexts, such as network weaving or disseminating information.
DOI: 10.6084/m9.figshare.5845620.v1
title: Using Multiple Methods to Understand the Nature of Relationships in Social Networks

description: Effective natural resource management (NRM) often depends on collaboration through formal and informal relationships. Social network analysis (SNA) provides a framework for studying social relationships; however, a deeper understanding of the nature of these relationships is often missing. By integrating multiple analytical methods (including SNA, evidence ratings, and perception matrices), we were able to investigate the nature of relationships in NRM social networks across five service types (e.g., technical advice, on-ground support) in our case study region, Daly catchment Australia. Only one service type was rated as highly associated with free choice in establishing relationships: technical advice/knowledge. Beneficial characteristics of NRM organizations, such as <i>collaborative</i> and <i>transparent</i>, were associated with the presence of freely chosen relationships between organizations. Our results suggest a need to improve our understanding of organizational roles and characteristics, in particular for use in applied NRM contexts, such as network weaving or disseminating information.
DOI: 10.6084/m9.figshare.5845593
title: random.xlsx

description: Random spreadsheet
DOI: 10.6084/m9.figshare.5845554
title: Crossref Works Dump - January 2018

description: An effort by eLife Sciences to make citation data more accessible.http://elifesciences.org/<br>This dump provides the raw Crossref works JSON responses as a bulk dump, downloaded in January 2018.<br>It was created by retrieving the works from Crossref API http://api.crossref.org/works (using a 1000 rows per page and a cursor).<br>The source code that produced the file can be found here:https://github.com/elifesciences/datacapsule-crossref<br>The output, a 32 GB zip file (using LZMA encryption), was split into separate parts using:<br>zip crossref-works.zip --out chunks/crossref-works.zip -s 2g<br>They can be combined together using:<br>zip crossref-works.zip --out crossref-works-full.zip -s 0<br><br>(or use `cat` on Linux or `copy /b` on Windows to concatenate the parts)<br>To then uncompress the file you will need a tool that can handle LZMA (Python 3's zipfile can for example, so can 7zip).<br>The aforementioned project (datacapsule-crossref) also includes code that extracts information from JSON responses included in the zip.
DOI: 10.6084/m9.figshare.5845554.v2
title: Crossref Works Dump - January 2018

description: An effort by eLife Sciences to make citation data more accessible.http://elifesciences.org/<br>This dump provides the raw Crossref works JSON responses as a bulk dump, downloaded in January 2018.<br>It was created by retrieving the works from Crossref API http://api.crossref.org/works (using a 1000 rows per page and a cursor).<br>The source code that produced the file can be found here:https://github.com/elifesciences/datacapsule-crossref<br>The output, a 32 GB zip file (using LZMA encryption), was split into separate parts using:<br>zip crossref-works.zip --out chunks/crossref-works.zip -s 2g<br>They can be combined together using:<br>zip crossref-works.zip --out crossref-works-full.zip -s 0<br><br>(or use `cat` on Linux or `copy /b` on Windows to concatenate the parts)<br>To then uncompress the file you will need a tool that can handle LZMA (Python 3's zipfile can for example, so can 7zip).<br>The aforementioned project (datacapsule-crossref) also includes code that extracts information from JSON responses included in the zip.
DOI: 10.6084/m9.figshare.5845554.v1
title: Crossref Works Dump 2018-01

description: This dump provides the raw Crossref works JSON responses as a bulk dump, downloaded in January 2018.<br>It was created by retrieving the works from Crossref API http://api.crossref.org/works (using a 1000 rows per page and a cursor).<br>The source code that produced the file can be found here:https://github.com/elifesciences/datacapsule-crossref<br>The output, a 32 GB zip file (using LZMA encryption), was split into separate parts using:<br>zip crossref-works.zip --out chunks/crossref-works.zip -s 2g<br>They can be combined together using:<br>zip crossref-works.zip --out crossref-works-full.zip -s 0<br><br>(or use `cat` on Linux or `copy /b` on Windows to concatenate the parts)<br>To then uncompress the file you will need a tool that can handle LZMA (Python 3's zipfile can for example, so can 7zip).<br>The aforementioned project (datacapsule-crossref) also includes code that extracts information from JSON responses included in the zip.
DOI: 10.6084/m9.figshare.5845188
title: Determination of material properties for progressive damage analysis of carbon/epoxy laminates

description: Progressive damage analysis is a constitutive model available in Abaqus(TM) to predict damage initiation and evolution in laminated composite materials but no standards are available to obtain the required material properties. A novel methodology is proposed to determine the material properties for carbon/polymer composites, relying on crack-density data. Since PDA does not predict crack density, direct correlation of data with PDA predictions is not possible. Therefore, another constitutive model is used to estimate modulus-reduction as a function of measured crack density. Then, PDA material properties are determined using the calculated modulus-reduction data. Applicability to several material systems is presented.
DOI: 10.6084/m9.figshare.5845188.v1
title: Determination of material properties for progressive damage analysis of carbon/epoxy laminates

description: Progressive damage analysis is a constitutive model available in Abaqus(TM) to predict damage initiation and evolution in laminated composite materials but no standards are available to obtain the required material properties. A novel methodology is proposed to determine the material properties for carbon/polymer composites, relying on crack-density data. Since PDA does not predict crack density, direct correlation of data with PDA predictions is not possible. Therefore, another constitutive model is used to estimate modulus-reduction as a function of measured crack density. Then, PDA material properties are determined using the calculated modulus-reduction data. Applicability to several material systems is presented.
DOI: 10.6084/m9.figshare.5845134
title: Metabolite BridgeDb ID Mapping Database (20180201)

description: BridgeDb ID mapping database for metabolites, using HMDB 4.0 (28 January 2018), ChEBI 160 (01 February 2018), and Wikidata (01 February 2018) as data sources. Most significant change: mapping to old and new HMDB identifier format, to accommodate all types of data sets annotated with HMDB identifiers. <br>If you use this data in your research, please cite this data set, and the BridgeDb, ChEBI, and HMDB articles.
DOI: 10.6084/m9.figshare.5845125
title: Poor performance status, urban residence and female sex predict inferior survival in pediatric advanced stage mature B-NHL in an Indian tertiary care center

description: <b>Background</b>: Advanced stage is a known prognostic factor in B-Non-Hodgkin Lymphoma (NHL); however, factors within advanced stage and overall data on pediatric B-NHL from India are lacking. <b>Methods</b>: This is a retrospective study wherein all consecutive pediatric (≤18 years) patients of advanced stage B-NHL (St. Jude stage 3 and 4) treated at our center from Jan 2003 to June 2016 with BFM-90 protocol were evaluated for outcome and pathology review. <b>Results</b>: Total 140 patients were analyzed with median age 8 years; M:F ratio was 5.2:1; 36% patients presented within 30 days of symptom onset and 58% had rural residence. Burkitt lymphoma (66%) was commonest histopathological subtype; bone marrow was involved in 15% and CSF in 8% cases. Undernourishment was observed in 30% patients and 51% had ECOG performance status of 3&4. At 5 years, EFS was 52 ± 4% (CI 0.43–0.60) and OS was 61 ± 4% (CI 0.52–0.68). On multivariate analysis, poor performance status (<i>p</i> &lt; 0.001) and urban residence (<i>p</i> = 0.016) emerged as significant negative prognostic factors for EFS; while for OS, female sex (<i>p</i> = 0.006), poor performance status (<i>p</i> &lt; 0.001) and urban residence (<i>p</i> = 0.023) predicted inferior outcome. <b>Conclusion</b>: This is the largest study from south Asia on advanced stage pediatric B-NHL and it suggests undernourishment, poor performance status and gender bias to be unique features at presentation. Although, outcomes are comparable with other data from resource-challenged nations, yet they are 15–20% inferior than trial data from other developed countries. Further, poor performance status, female sex and urban residence for poor outcome were identified as unique prognostic factors.
DOI: 10.6084/m9.figshare.5845125.v1
title: Poor performance status, urban residence and female sex predict inferior survival in pediatric advanced stage mature B-NHL in an Indian tertiary care center

description: <b>Background</b>: Advanced stage is a known prognostic factor in B-Non-Hodgkin Lymphoma (NHL); however, factors within advanced stage and overall data on pediatric B-NHL from India are lacking. <b>Methods</b>: This is a retrospective study wherein all consecutive pediatric (≤18 years) patients of advanced stage B-NHL (St. Jude stage 3 and 4) treated at our center from Jan 2003 to June 2016 with BFM-90 protocol were evaluated for outcome and pathology review. <b>Results</b>: Total 140 patients were analyzed with median age 8 years; M:F ratio was 5.2:1; 36% patients presented within 30 days of symptom onset and 58% had rural residence. Burkitt lymphoma (66%) was commonest histopathological subtype; bone marrow was involved in 15% and CSF in 8% cases. Undernourishment was observed in 30% patients and 51% had ECOG performance status of 3&4. At 5 years, EFS was 52 ± 4% (CI 0.43–0.60) and OS was 61 ± 4% (CI 0.52–0.68). On multivariate analysis, poor performance status (<i>p</i> &lt; 0.001) and urban residence (<i>p</i> = 0.016) emerged as significant negative prognostic factors for EFS; while for OS, female sex (<i>p</i> = 0.006), poor performance status (<i>p</i> &lt; 0.001) and urban residence (<i>p</i> = 0.023) predicted inferior outcome. <b>Conclusion</b>: This is the largest study from south Asia on advanced stage pediatric B-NHL and it suggests undernourishment, poor performance status and gender bias to be unique features at presentation. Although, outcomes are comparable with other data from resource-challenged nations, yet they are 15–20% inferior than trial data from other developed countries. Further, poor performance status, female sex and urban residence for poor outcome were identified as unique prognostic factors.
DOI: 10.6084/m9.figshare.5845083
title: NaPiRE Data Set 2014Naming the Pain in Requirements Engineering Survey Data 2014/15

description: Data from the NaPiRE run 2013 in 10 countries. The data set includes: (1) codebooks and instrumentation, (2) complete data export, and the results of the (3) manual coding sheets. Further data, analysis scripts, or explanations upon request. Further information on the overall project can be taken from the website www.re-survey.org<br>Survey Data on practices and problems in Requirements Engineering
DOI: 10.6084/m9.figshare.5845023
title: Slope-Estimation-Bridgeman

description: Two files per Experiment, numbered accordingly - data and labels<br>
DOI: 10.18112/openneuro.ds003102.v1.0.0
title: KF2019003_WCST_fMRI
DOI: 10.6084/m9.figshare.5845023.v1
title: Slope-Estimation-Bridgeman

description: Two files per Experiment, numbered accordingly - data and labels<br>