cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.17910/b7.1372
title: CAFE Consortium - OpenLattice Instructions and Documentation

description: This volume contains templates and links to instructions and documentation for the CAFE Consortium and OpenLattice. This includes instructions for CAFE Investigators (e.g., creating a codebook, creating a metadata file, uploading/sharing data with OpenLattice) and for OpenLattice (e.g., access/processing data).
DOI: 10.21335/nmdc-1109067467
title: Chlorophyll A and phaeopigments Nansen Legacy cruise 2019706

description: This dataset is a collection of the acid-corrected chlorophyll A and phaeopigments measurements taken as part of the Nansen Legacy project (www.arvenetternansen.com), as part of the '2019 Seasonal Study Q3' cruise.
DOI: 10.21335/nmdc-983908955
title: Chlorophyll A and phaeopigments Nansen Legacy cruise 2021703

description: This dataset is a collection of the acid-corrected chlorophyll A and phaeopigments measurements taken as part of the Nansen Legacy project (www.arvenetternansen.com), as part of the '2021 Seasonal Study Q1' cruise.
DOI: 10.25318/1810020401-eng
title: Electric power selling price index, monthly

description: Electric power selling price index (EPSPI). Monthly data are available from January 1981. The table presents data for the most recent reference period and the last four periods. The base period for the index is (2014=100).
DOI: 10.5281/zenodo.10056053
title: PheKnowLator Human Disease KG Benchmarks: Class-Standard Relations-OWL (v2.1.0 - May 2021)

description: PKT Human Disease Knowledge Graph Benchmark Builds (v2.1.0)
Build Type: Class-Standard Relations-OWL
Build Date: May 01, 2021
 
Important Build Information
The benchmarks were originally built and stored using Google Cloud Platform (GCP) resources. For details and a complete description of this process, can be found on GitHub (here). Note that we have developed an archive for the builds on Zenodo. While the original GCP resources contained all associated files, due to the file size upload limits associated with each archive, we have limited the uploaded files to the KGs, associated metadata, and log files. The list of resources, including their URLs, and date of download, can all be found in the associated logs.
Details on each of the files generated by the build process can be found in the file associated with this directory (PheKnowLator_HumanDiseaseKG_Output_FileInformation.xlsx).
 
🚨 AVAILABLE FILES 🚨 

Available KG benchmark files are zipped and listed below.
For additional details on what each file contains, please see the associated Wiki page 👉 here.
DOI: 10.5281/zenodo.10056055
title: PheKnowLator Human Disease KG Benchmarks: Class-Inverse Relations-OWL (v2.1.0 - May 2021)

description: PKT Human Disease Knowledge Graph Benchmark Builds (v2.1.0)
Build Type: Class-Inverse Relations-OWL
Build Date: May 01, 2021
 
Important Build Information
The benchmarks were originally built and stored using Google Cloud Platform (GCP) resources. For details and a complete description of this process, can be found on GitHub (here). Note that we have developed an archive for the builds on Zenodo. While the original GCP resources contained all associated files, due to the file size upload limits associated with each archive, we have limited the uploaded files to the KGs, associated metadata, and log files. The list of resources, including their URLs, and date of download, can all be found in the associated logs.
Details on each of the files generated by the build process can be found in the file associated with this directory (PheKnowLator_HumanDiseaseKG_Output_FileInformation.xlsx).
 
🚨 AVAILABLE FILES 🚨 

Available KG benchmark files are zipped and listed below.
For additional details on what each file contains, please see the associated Wiki page 👉 here.
DOI: 10.5281/zenodo.10056057
title: PheKnowLator Human Disease KG Benchmarks: Instance-Standard Relations-OWL (v2.1.0 - May 2021)

description: PKT Human Disease Knowledge Graph Benchmark Builds (v2.1.0)
Build Type: Instance-Standard Relations-OWL
Build Date: May 01, 2021
 
Important Build Information
The benchmarks were originally built and stored using Google Cloud Platform (GCP) resources. For details and a complete description of this process, can be found on GitHub (here). Note that we have developed an archive for the builds on Zenodo. While the original GCP resources contained all associated files, due to the file size upload limits associated with each archive, we have limited the uploaded files to the KGs, associated metadata, and log files. The list of resources, including their URLs, and date of download, can all be found in the associated logs.
Details on each of the files generated by the build process can be found in the file associated with this directory (PheKnowLator_HumanDiseaseKG_Output_FileInformation.xlsx).
 
🚨 AVAILABLE FILES 🚨 

Available KG benchmark files are zipped and listed below.
For additional details on what each file contains, please see the associated Wiki page 👉 here.
DOI: 10.5281/zenodo.10056058
title: PheKnowLator Human Disease KG Benchmarks: Instance-Standard Relations-OWLNETS (v2.1.0 - May 2021)

description: PKT Human Disease Knowledge Graph Benchmark Builds (v2.1.0)
Build Type: Instance-Standard Relations-OWLNETS
Build Date: May 01, 2021
 
Important Build Information
The benchmarks were originally built and stored using Google Cloud Platform (GCP) resources. For details and a complete description of this process, can be found on GitHub (here). Note that we have developed an archive for the builds on Zenodo. While the original GCP resources contained all associated files, due to the file size upload limits associated with each archive, we have limited the uploaded files to the KGs, associated metadata, and log files. The list of resources, including their URLs, and date of download, can all be found in the associated logs.
Details on each of the files generated by the build process can be found in the file associated with this directory (PheKnowLator_HumanDiseaseKG_Output_FileInformation.xlsx).
 
🚨 AVAILABLE FILES 🚨 

Available KG benchmark files are zipped and listed below.
For additional details on what each file contains, please see the associated Wiki page 👉 here.
DOI: 10.5281/zenodo.10056061
title: PheKnowLator Human Disease KG Benchmarks: Instance-Inverse Relations-OWL (v2.1.0 - May 2021)

description: PKT Human Disease Knowledge Graph Benchmark Builds (v2.1.0)
Build Type: Instance-Inverse Relations-OWL
Build Date: May 01, 2021
 
Important Build Information
The benchmarks were originally built and stored using Google Cloud Platform (GCP) resources. For details and a complete description of this process, can be found on GitHub (here). Note that we have developed an archive for the builds on Zenodo. While the original GCP resources contained all associated files, due to the file size upload limits associated with each archive, we have limited the uploaded files to the KGs, associated metadata, and log files. The list of resources, including their URLs, and date of download, can all be found in the associated logs.
Details on each of the files generated by the build process can be found in the file associated with this directory (PheKnowLator_HumanDiseaseKG_Output_FileInformation.xlsx).
 
🚨 AVAILABLE FILES 🚨 

Available KG benchmark files are zipped and listed below.
For additional details on what each file contains, please see the associated Wiki page 👉 here.
DOI: 10.5281/zenodo.10056062
title: PheKnowLator Human Disease KG Benchmarks: Instance-Inverse Relations-OWLNETS (v2.1.0 - May 2021)

description: PKT Human Disease Knowledge Graph Benchmark Builds (v2.1.0)
Build Type: Instance-Inverse Relations-OWLNETS
Build Date: May 01, 2021
 
Important Build Information
The benchmarks were originally built and stored using Google Cloud Platform (GCP) resources. For details and a complete description of this process, can be found on GitHub (here). Note that we have developed an archive for the builds on Zenodo. While the original GCP resources contained all associated files, due to the file size upload limits associated with each archive, we have limited the uploaded files to the KGs, associated metadata, and log files. The list of resources, including their URLs, and date of download, can all be found in the associated logs.
Details on each of the files generated by the build process can be found in the file associated with this directory (PheKnowLator_HumanDiseaseKG_Output_FileInformation.xlsx).
 
🚨 AVAILABLE FILES 🚨 

Available KG benchmark files are zipped and listed below.
For additional details on what each file contains, please see the associated Wiki page 👉 here.
DOI: 10.5281/zenodo.10056214
title: PheKnowLator Human Disease KG Benchmarks - Build Logs (v2.1.0 - April 2021)

description: PKT Human Disease Knowledge Graph Benchmark Builds (v2.1.0)
Build Date: April 11, 2021
 
Build Information

This Zenodo directory contains logs from running a pre-build, which was performed in order to obtain computational performance metrics. 
As this run was only created for the purpose of testing the builds, there are no available data, KG, or metadata available. 
The Excel file attached included in this directory includes tabs for the build logs as well as high-level descriptives on the resulting KGs, edge types, and ontologies.
DOI: 10.5281/zenodo.10377164
title: Room temperature and elevated temperature tensile test and elastic properties data of Al-alloy EN AW-2618A after different aging times and temperatures

description: The dataset contains two types of data: elastic properties (Young's and shear modulus, Poisson's ratio) between room temperature and 250 °C and a set of tensile tests at different aging times, aging temperatures, and test temperatures.
DOI: 10.5281/zenodo.10410751
title: Landslide inventories for Nepal: Database 2010 - 2021
DOI: 10.5281/zenodo.10480660
title: Data supporting 'De novo-designed minibinders expand the synthetic biology sensing repertoire'

description: Data supporting Weinberg, Soliman et al. 2024. Manuscript describes data collection practices and experimental design.
DOI: 10.5281/zenodo.10792053
title: Threonine Phosphorylation of STAT1 Restricts Interferon Signaling and Promotes Innate Inflammatory Responses

description: FCS files contains normalized, debarcoded, live, DNA+, CD45+, singlets, with normal ion cloud Gaussian parameters. Sample conditions are listed in the "Totalcell_metadata_zenodo.xlsx" file.
DOI: 10.5281/zenodo.11109044
title: FAIR data literacy project
title: FAIR Data principles adherence in final master thesis studies

description: Data obtained from FAIR data study
DOI: 10.5281/zenodo.11198790
title: Space Environmental Effects on Multifunctional Radiation Shielding Materials

description: Composite 2_NeutronTotal neutron count and dose (Gy/hr) for flight and ground control samples. Testing was conducted using a 252Cf neutron source and a EJ-301 detector.    Composite 1_2 Opticalmeasurements before and after space environment exposure for Composite #1 and Composite #2 panels.Composite #1 -tensile Tensile test data of composite#1Composite #2 -tensile Tensile test data of composite#2Composite #1 -FlexureFlexure test data of composite#1Composite #2 -FlexureFlexure test data of composite#2
DOI: 10.5281/zenodo.11222295
title: A Multi-site Passive Approach for Studying the Emissions and Evolution of Smoke from Prescribed Fires

description: The uploaded data consists of ground measurements of CO, O3, PM2.5 mass, and PM2.5 BC taken at Fort Moore, Columbus, GA, USA, during the prescribed burning seasons of 2021-2022. This data was used in a manuscript that will be submitted to ACP for review. Each Excel file includes a header that details the measurement location, instruments used, and units. The data is provided in its highest resolution and can be averaged over different durations to smooth out fluctuations and cancel noise at background levels.
DOI: 10.5281/zenodo.1204292
title: Reduced Size Illumina Novaseq Runfolder

description: This dataset is a reduced size version of an Illumina NovaSeq run of PhiX, where all but the first four cycles have been removed. All metadata associated with the run has been kept intact. This dataset is e.g. useful in testing workflows which require raw Illumina data (i.e. bcl files rather than fastq files).

To demultiplex this data with Illumina bclfastq (https://support.illumina.com/sequencing/sequencing_software/bcl2fastq-conversion-software.html) it is recommended that the following options are used:

<pre><code>--ignore-missing-bcls --ignore-missing-filter --ignore-missing-positions --use-bases-mask y4n*,n*</code></pre>

This work was supported by the R&D group at the SNP&SEQ Technology Platform in Uppsala. This facility is part of the National Genomics Infrastructure (NGI) Sweden and Science for Life Laboratory. The SNP&SEQ Platform is also supported by the Swedish Research Council and the Knut and Alice Wallenberg Foundation.
DOI: 10.5281/zenodo.12801265
title: Heritage Sites in Bani Walid, Libya

description: A dataset of 211 heritage sites in and around the city of Bani Walid, Libya used for the EAMENA Machine Learning Automated Change Detection Case Study.
description: EAMENA data entry methodology
DOI: 10.5281/zenodo.13314147
title: Investigating the "Too Bright" Issue Pertaining to Non-PBL Clouds over the South Pacific Trade-Wind Region in CMIP6 Global Climate Models

description: f09.C6.B-hist.SON_ANN.tar.gz

CESM2-CAM6 with falling ice radiative effects (FIREs), fully coupled run folloing CMIP6 historical run, same as CESM2-CAM6 in CMIP6 data port.

 

The data includes with netcdf self description.

f09.C6.B-hist.h01_AWNC_ANN_15L-CDO_1x1.ncf09.C6.B-hist.h01_CLDHGH_ANN_climo-CDO.ncf09.C6.B-hist.h01_CLDLIQ_ANN_15L-CDO_1x1.ncf09.C6.B-hist.h01_CLDLOW_ANN_climo-CDO.ncf09.C6.B-hist.h01_CLDMED_ANN_climo-CDO.ncf09.C6.B-hist.h01_CLDTOT_ANN_climo-CDO.ncf09.C6.B-hist.h01_CLOUD_ANN_15L-CDO_1x1.ncf09.C6.B-hist.h01_CLOUDFRAC_CLUBB_ANN_15L-CDO_1x1.ncf09.C6.B-hist.h01_CONCLD_ANN_15L-CDO_1x1.ncf09.C6.B-hist.h01_FREQL_ANN_15L-CDO_1x1.ncf09.C6.B-hist.h01_ICWMR_ANN_15L-CDO_1x1.ncf09.C6.B-hist.h01_NUMLIQ_ANN_15L-CDO_1x1.ncf09.C6.B-hist.h01_OMEGA_ANN_15L-CDO_1x1.ncf09.C6.B-hist.h01_PRECC_ANN_climo-CDO.ncf09.C6.B-hist.h01_PRECL_ANN_climo-CDO.ncf09.C6.B-hist.h01_SST_ANN_climo-CDO.ncf09.C6.B-hist.h01_tauy_ANN_climo-CDO.nc

f09.C6.B-hist.NOS_ANN.tar.gz

CESM2-CAM6 without falling ice radiative effects (FIREs), fully coupled run folloing CMIP6 historical run, same as CESM2-CAM6 in CMIP6 data port.

f09.C6.B-hist.nos81_AWNC_ANN_15L-CDO_1x1.ncf09.C6.B-hist.nos81_CDNUMC_ANN_climo-CDO.ncf09.C6.B-hist.nos81_CLDHGH_ANN_climo-CDO.ncf09.C6.B-hist.nos81_CLDLIQ_ANN_15L-CDO_1x1.ncf09.C6.B-hist.nos81_CLDLOW_ANN_climo-CDO.ncf09.C6.B-hist.nos81_CLDMED_ANN_climo-CDO.ncf09.C6.B-hist.nos81_CLDTOT_ANN_climo-CDO.ncf09.C6.B-hist.nos81_CLOUD_ANN_15L-CDO_1x1.ncf09.C6.B-hist.nos81_CLOUDFRAC_CLUBB_ANN_15L-CDO_1x1.ncf09.C6.B-hist.nos81_CONCLD_ANN_15L-CDO_1x1.ncf09.C6.B-hist.nos81_FREQL_ANN_15L-CDO_1x1.ncf09.C6.B-hist.nos81_ICWMR_ANN_15L-CDO_1x1.ncf09.C6.B-hist.nos81_NUMLIQ_ANN_15L-CDO_1x1.ncf09.C6.B-hist.nos81_OMEGA_ANN_15L-CDO_1x1.ncf09.C6.B-hist.nos81_PRECC_ANN_climo-CDO.ncf09.C6.B-hist.nos81_PRECL_ANN_climo-CDO.ncf09.C6.B-hist.nos81_SST_ANN_climo-CDO.ncf09.C6.B-hist.nos81_taux_ANN_climo-CDO.ncf09.C6.B-hist.nos81_tauy_ANN_climo-CDO.nc
DOI: 10.5281/zenodo.3672159
title: GC-MS data set for Generation of a chromosome-scale genome assembly of the insect-repellant terpenoid-producing Lamiaceae species, Callicarpa americana

description: RAW GC/MS data set for characterization of class II terpene synthases from <em>Callicarpa americana </em>
DOI: 10.5281/zenodo.7669214
title: Regensburg Pediatric Appendicitis Dataset

description: This dataset was acquired in a retrospective study from a cohort of pediatric patients admitted with abdominal pain to Children’s Hospital St. Hedwig in Regensburg, Germany. Multiple abdominal B-mode ultrasound images were acquired for most patients, with the number of views varying from 1 to 15. The images depict various regions of interest, such as the abdomen’s right lower quadrant, appendix, intestines, lymph nodes and reproductive organs. Alongside multiple US images for each subject, the dataset includes information encompassing laboratory tests, physical examination results, clinical scores, such as Alvarado and pediatric appendicitis scores, and expert-produced ultrasonographic findings. Lastly, the subjects were labeled w.r.t. three target variables: diagnosis (appendicitis vs. no appendicitis), management (surgical vs. conservative) and severity (complicated vs. uncomplicated or no appendicitis). The study was approved by the Ethics Committee of the University of Regensburg (no. 18-1063-101, 18-1063_1-101 and 18-1063_2-101) and was performed following applicable guidelines and regulations.
DOI: 10.5281/zenodo.8317007
title: Reservoir ecosystems support large pools of fish biomass

description: Supplemental data for "Reservoir ecosystems support large pools of fish biomass".

Parisek, C.A., F.A., De Castro, J.D. Colby, G.R. Leidy, S. Sadro, A.L. Rypel. Reservoir ecosystems support large pools of fish biomass. Sci Rep 14, 9428 (2024). https://doi.org/10.1038/s41598-024-59730-z
DOI: 10.5441/002/edbt.2018.41
title: All that Incremental is not Efficient: Towards Recomputation Based Complex Event Processing for Expensive Queries
DOI: 10.6084/m9.figshare.27223893
title: Supplementary Material for: Residual Red Blood Cell Volume in Extracorporeal Blood Circuit After Hemodialysis: A Single-center Study

description: Introduction: The factors contributing to blood loss during HD procedures remain underexplored. This study aimed to quantify blood loss during HD and identify the potential factors associated with it.
Methods: The study included 70 ESRD patients undergoing HD. After dialysis, the extracorporeal blood circuits were rinsed with 1,000 mL of 0.05% NH3 solution in distilled water, and hemoglobin (Hb) levels were measured. Univariate regression was used to assess the linear relationship between residual red blood cell (RBC) volume and various parameters, including HD mode, dialyzer surface area, ultrafiltration goal (UFG), hypotension during HD, blood flow rate, activated partial thromboplastin time (aPTT), and C-reactive protein (CRP). Multivariate regression was also conducted to explore the relationships among these parameters. 
Results: The mean RBC volume remaining in the extracorporeal blood circuit after HD was 1.6 ± 0.9 ml (mode: 1.0, range: 0.3–6.5 ml). When converted to whole blood volume per patient, the mean blood volume was 5.3 ± 3.0 ml (median: 4.1 ml, mode: 4.0 ml, range: 1.0–19.0 ml). Multivariate analysis identified the dialyzer surface area as the only significant determinant of residual RBC volume.
Conclusion: After HD, the remaining RBC volume in the extracorporeal blood circuit varies from 1.6 to 6.5 ml. When the RBC volume was converted to whole blood volume for each case, the blood loss ranged from 1.0 to 19.0 ml. Dialyzer surface area was the only significant determinant of residual RBC volume.
DOI: 10.6084/m9.figshare.27636240
title: Supplementary Material for: Assisted reproductive technology, pregnancy and recurrent disease in melanoma patients: a 30-year single institution experience.

description: Objectives
The aim of this study is to assess differences in melanoma recurrence between patients conceiving spontaneously versus those undergoing assisted reproductive technology (ART), to determine use of ART in post-melanoma patients and to examine the impact of counseling of this specific patient group.

Design
This study is a 30-year analysis including data from a single center questionnaire and a retrospective cohort study. 

Participants/Materials
Women of childbearing age with a history of melanoma were requested to participate in our study. We selected patients who underwent either primary melanoma treatment or treatment of local / distant recurrence at our institute between 1994 and 2021. Each participant received a questionnaire and informed consent form. The questions concerned general health, primary tumor characteristics, utilization of ART, subsequent pregnancies and development of recurrent melanoma. Additional information was collected from the medical files. 

Setting
The research was conducted in a dedicated oncology center and tertiary referral center for melanoma in The Netherlands. 

Methods
Participants received the questionnaires by mail. Six weeks later a reminder was sent to non-responders. Analysis was performed using descriptive statistics. For comparisons between groups Chi-square tests were used. P-value was considered significant when below 0.05. A clinically relevant difference in recurrence rate was defined as a 10% difference.

Results
A total of 498 questionnaires were available for analyses, 449 from living patients and 49 from relatives of diseased patients. One hundred and seventy-nine patients (36%) with a history of melanoma became pregnant following their diagnosis. In this group, 28 patients (16%) attempted to conceive using ART, and eight of them experienced disease recurrence. There was no difference in the recurrence rate between patients who became pregnant after the diagnosis of melanoma and those who never subsequently conceived (37% vs 35%, p=0.609).

Limitations
The main limitations of the study are its size, observational design and questionnaire methodology. 

Conclusions
Pregnancy did not increase the risk of recurrent melanoma. The group of patients conceiving after ART was small and therefore it is difficult to confidently conclude that the recurrence risk is comparable to the other groups. Prospective international registration of these patients, their oncologic follow-up and possible use of assisted reproduction, will provide valuable information to determine any potential association between ART and risk of recurrent melanoma. This would enable health professionals to develop surveillance strategies and pre-conception counselling of patients wishing to conceive.
DOI: 10.6084/m9.figshare.27753390
title: Supplementary Material for: SPECKLE TRACKING ECHOCARDIOGRAPHY IN TWIN PREGNANCIES AND THE ROLE OF GLOBAL LONGITUDINAL STRAIN AND PEAK SYSTOLIC STRAIN: A SYSTEMATIC REVIEW AND META-ANALYSIS

description: Twin pregnancies are associated with an increased risk of perinatal morbidity and mortality. Pregnancy complications related to twins, such as fetal growth restriction, and twin-to-twin transfusion syndrome (TTTS), are associated with hemodynamic changes in the fetal heart. Two-dimensional speckle tracking echocardiography (2D STE) is a tool to evaluate fetal cardiac function. 
This paper aims to review the literature regarding global longitudinal strain (rate) and peak systolic strain (rate) assessed with 2D STE in twin pregnancies. Feasibility, frame rate, and angle of the fetal heart at the time of measurement were selected as secondary outcomes.
The databases Medline, Embase, Scopus, and Web of Science were searched. Seven articles met the inclusion criteria and selected all monochorionic diamniotic (MCDA) twins with TTTS as the study population. The global longitudinal strain in the right and left ventricle and the peak systolic strain in the right ventricle of the recipient MCDA twin is significantly decreased compared to the donor MCDA twin. 2D STE assessment was shown feasible and reproducible in MCDA pregnancies. Large heterogeneity in technical characteristics between the articles induces inconsistent results. 
Although feasible, the knowledge of 2D STE is very limited in twin pregnancy. Prospective studies are needed to evaluate the 2D STE assessment in uncomplicated twin pregnancies considering its possible additive value in the diagnostics of pregnancy-related pathologies.
DOI: 10.6084/m9.figshare.756077
title: Gaussian Job Archive for C15H25NO3

description: Archive of work produced using the resources of the Imperial College High Performance Computing Service.