cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.14414039.v1
title: Yield curation USPTO rsmi/csv datasets

description: In 2017 Lowe shared curated and published USPTO based chemical reaction datasets in csv format. Based on this, Schwaller et al. published curated reaction smiles (they in turn used the curated set disclosed by Jin and coworkers). Both versions have the drawback of containing only partially curated yields. <br><br>In those datasets, two columns are available, TextMinedYield and Calculated yield. Many entries there don't contain any, partial, or incorrect numbers. For certain forms of reaction analysis focusing on yield as only available correlation, that information becomes essentially useless since there is no correlation to reaction conditions (unless one would data-mine the CML files or original XML).<br><br>By correcting and merging the yield into a new column, followed by eliminating faulty entries, the noise in the data set is reduced. The new datasets are reduced by nearly 50%.<br><br>Attached are two kinds of datasets (of each, Lowe and Schwaller):<i>A "cropped" version</i>, containing only the reaction smiles and the curated yield (and an added ID), and only entries with valid yields. Everything else was filtered out.<i>A second type, a "full" version</i>, including the curated yields and all original input columns and entries (no filtration). The latter might come in handy for other applications where one doesn't agree with the applied removal of invalid entries, or to apply further curation.<br>More details can be found on Github containing Python scripts used to procure the attached datasets and a Readme file.<br>For the less adept programmer, a graphical workflow based on the open-source data analysis platform Knime(R) is also available. The latter contains furthermore a proof of concept reaction splitter (data not included here).
DOI: 10.6084/m9.figshare.17087342.v1
title: Young's Modulus

description: Compilation of Young's Modulus for different lithologies. References are included in the file.
DOI: 10.6084/m9.figshare.25529956.v1
title: <b>PULMONARY TUBERCULOSIS. WHICH ARE THE PRIORITIES OF RESEARCH IN LATIN AMERICA? A BIBLIOMETRIC ANALYSIS</b>

description: Supplementary materials necessary to generate the results obtained with the VOSviewer software, version 1.6.20.
DOI: 10.6084/m9.figshare.8003915.v1
title: Supplementary Material for: Clinical Experience of Immunotherapy Treatment: Efficacy and Toxicity Analysis of the Compassionate Use Program of Nivolumab in Patients with Advanced Squamous Cell Non-Small Cell Lung Cancer

description: <b><i>Background:</i></b> Anti-PD1 monoclonal antibody nivolumab is an approved therapy option for the treatment of advanced squamous cell non-small cell lung cancer (SQ-NSCLC) patients. Data outside clinical trials about therapy efficacy and safety in later therapy line treatments have rarely been described until now. <b><i>Methods:</i></b> We performed a retrospective data analysis of patients who were enrolled into the nivolu­mab Compassionate Use Program (CUP) in Germany. Sufficient clinical data of 40 patients were available for efficacy and safety analysis. <b><i>Results:</i></b> Overall, 47.5% of all treated patients were not affected by any adverse events (AEs); 17.5% of patients suffered from severe AEs. The 1-year survival rate was 61.3%. Estimated median progression-free survival (PFS) was 5.3 months. Patients who received nivolumab as third or later therapy line treatment (77.5%) achieved similar median PFS and 12-month overall survival rate of 52%. <b><i>Conclusion:</i></b> Our findings of immunotherapy treatment outside clinical trials support the results of studies in the past and confirm the efficacy and favorable toxicity profile of nivolumab treatment in advanced SQ-NSCLC patients. In addition, we can present some rarely described information about nivolumab treatment of heavily pretreated patients, which provides some evidence that immunotherapy could also be useful in later therapy lines.
DOI: 10.17632/hyy9ctvyfd
title: Data set_Oral health-seeking behaviour of persons living with diabetes mellitus attending a Nigerian tertiary hospital

description: Dataset Title: Oral Health Seeking Behavior and Glycemic Control in Type 2 Diabetes Patients in Lagos, Nigeria

Description:
This dataset contains primary data collected from a cross-sectional study conducted at a tertiary hospital in Lagos State, Nigeria. The study investigated the oral health seeking behavior of individuals with Type 2 Diabetes Mellitus (T2DM) and explored potential associations between this behavior and glycemic control. Additionally, the study assessed the oral health-related quality of life among T2DM patients.

Data Collection:

Sample size: 158 respondents
Method: Interviewer-administered questionnaires
Setting: Tertiary hospital in Lagos State, Nigeria
Variables:
The dataset includes, but is not limited to, the following categories of variables:

Demographic information
Diabetes-related health indicators
Oral health seeking behaviors
Glycemic control measures
Oral health-related quality of life indicators
Data Format:
The raw data has been digitized and is available in two formats:

Microsoft Excel spreadsheets (.xlsx)
IBM SPSS data file (.sav) - Compatible with SPSS version 23 and later
This comprehensive dataset offers valuable insights into the intersection of oral health behaviors and diabetes management in a Nigerian urban setting, potentially informing targeted interventions and policy decisions in similar contexts.
DOI: 10.6084/m9.figshare.1414154.v1
title: Monetary policy and financial asset prices in Poland

description: The aim of this study is to investigate the effects of monetary policy on financial asset prices in Poland. Following Gürkaynak et al. (2005) I test how many factors adequately explain the variability of short-term interest rates around MPC meetings, finding that there are two such factors. The first one has a structural interpretation as a “current interest rate change” factor, and the second one as a “future interest rate changes” factor, with the latter related to MPC communication. Regression analysis shows that, controlling for foreign interest rates and global risk aversion, both MPC actions and communication matter for government bond yields, and that communication is more important for stock prices. Furthermore, the foreign exchange rate used to depreciate (appreciate) after MPC statements signalling tighter (easier) future monetary policy. However, the effect disappeared at the end of the sample. For most of the sample the exchange rate would appreciate (depreciate) or would not change in a statistically significant manner after an increase (a decrease) of the current interest rate. The results indicate that not only changes of the current interest rate but also MPC communication matters for financial asset prices in Poland. It has important implications for the conduct of monetary policy, especially in a low inflation and low interest rate environment.
DOI: 10.6084/m9.figshare.1439432.v1
title: Faces extracted from Trove newspaper photographs

description: This is a collection of faces extracted from digitised newspapers available through http://trove.nla.gov.au. Photographs were harvested from the newspapers using the Trove API. OpenCV2 was used to extract faces from the photographs. The filenames of the faces include important contextual information. for example: 18950209-460-139706071-1.jpg This filename contains four fields separated by hyphens. <strong>18950209</strong> – date the original newspaper article was published. In this case 1895–02–09 in ISO format, or 9 February 1895. <strong>460</strong> – the Trove identifier for the newspaper in which the article was published. By appending this to a Trove url you can retrieve more information via the web interface or API: web – http://nla.gov.au/nla.news-title460 API – http://api.trove.nla.gov.au/newspaper/title/460?key=[your API key] <strong>139706071</strong> – the Trove identifier for the article. By appending this to a Trove url you can retrieve more information via the web interface or API: web – http://nla.gov.au/nla.news-article139706071 API – http://api.trove.nla.gov.au/newspaper/139706071?key=[your API key] <strong>1</strong> – the index of the face extracted from the article. You can also explore the same dataset using my Face API. Tim Sherratt (@wragge) tim@discontents.com.au 7 June 2015
DOI: 10.6084/m9.figshare.19803073.v1
title: Characterization of the sediments in a gas hydrate reservoir in the northern South China Sea: Implications for gas hydrate accumulation

description: the grain size, XRD, and specific surface area data of sediments in South China Sea
DOI: 10.6084/m9.figshare.20604336.v1
title: cumulative numbers of COVID-19 infections in China (excluding imported cases) from January 20 to March 15, 2020

description: cumulative numbers of COVID-19 infections in China (excluding imported cases) from January 20 to March 15, 2020
DOI: 10.6084/m9.figshare.29083196.v1
title: WEBIST_2025_Model_Card_Analysis

description: Conducting a review of Model cards to explore the current state-of-the-art of model cards in practice.
DOI: 10.6084/m9.figshare.12609317.v1
title: Proportion of COVID-19-related news articles (8 countries)

description: Proportion of COVID-19-related news articles in 8 countries (obtained from Media Cloud, https://mediacloud.org/)<br>
DOI: 10.6084/m9.figshare.24902100.v4
title: Collection of pearl millet RNA sequencing data

description: Pearl millet (<i>Pennisetum glaucum</i>, also known as <i>Cenchrus americanus</i>) is a C4 cereal crop that can tolerate stressed conditions including drought-stressed, high temperature-stressed and nutrient-poor conditions. Transcriptomes of pearl millet were studied by RNA sequencing (RNA-Seq) to understand mechanisms regulating its development and tolerance to such stressed conditions in previous studies. We collected RNA-Seq reads from as many of such studies in the NCBI (National Center for Biotechnology Information) BioProject database as popssible, and mapped them to the pearl millet reference genome to obtain read counts and transcripts per million (TPM) for each pearl millet gene. Here, the resulting count and TPM data as well as the attributes of the samples used for the RNA-Seq are provided. These data can be updated when a new study with RNA-Seq of pearl millet samples has become available.
DOI: 10.6084/m9.figshare.27605073.v1
title: Games-Howell

description: Test Games-Howell
DOI: 10.6084/m9.figshare.3978015.v1
title: Raw data_Investigating emotional contagion in dog.xlsx

description: We conducted a playback study with dogs to investigate canine empathy. We tested 53 dogs and played back non-emotional sounds of the dogs' environment and contrasted these sounds with emotional sounds of humans and conspecifics. These emotional sounds contained a negatively and a positively valenced sound each. We measured the duration the subjects looked to their owners and whether they approached her or him. We also measured the duration the dogs looked to the loudspeaker that played back the stimulus and whether the dog approached it. We, furthermore, analysed ten behavioural indicators for negatively valenced states in dogs which we pooled together to develop an overall Relative Reactivity Score.
DOI: 10.6084/m9.figshare.5116759.v1
title: Data matrix - Genus-level phylogeny of cephalopods using molecular markers: current status and problematic areas.

description: The data upload represent the data matrix associate with the manuscript: Genus-level phylogeny of cephalopods using molecular markers: current status and problematic areas.
DOI: 10.17632/97knh7zgkk
title: NOD2 and allergic lung inflammation 

description: We hypothesized that sensors of the bacterial cell wall muropeptides influenced allergenic lung inflammation, which we tested in female NOD1 or NOD2 knockout mice fed an obesogenic high fat diet (HFD).
DOI: 10.26188/5b8cc9bdb16fa
title: Deepbinner: WGS set basecalled reads

description: These are the basecalled (FASTQ format) reads for the WGS test set used in the Deepbinner manuscript.
DOI: 10.6084/m9.figshare.24619248.v1
title: House Price Data of Wuhan

description: WHHP data set describes community-level house prices in Wuhan, the capital of Hubei province in the central region of China. The WHHP data set contains 9 variables collected in 2015: <i>Annual_AQI</i>, <i>Pop_Den, Green_Rate, GDP_per_Land, Rev_per_Land, FAI_per_Land, TertI_Rate, Den_POI</i>.
DOI: 10.6084/m9.figshare.28827716.v2
title: UHPC beam Shear Failure mode Prediction Database.xlsx

description: The UHPC beam shear failure mode prediction database contains 542 sets of shear test data of test beams, covering 14 input features and 1 output target
DOI: 10.6084/m9.figshare.29086931.v1
title: Non-synthesizable structures

description: The initial non-synthesizable structures data used for fine-tuning the large language model
DOI: 10.6084/m9.figshare.3522959.v1
title: Supplement 1. Data used in standard (Appendix A), sequential (Appendix B), and principal components regressions (Appendix C), and structural equation models (Appendix D) of the effect of various environmental factors on the distribution of giant kelp.

description: File List Originaldata.txt Response and independent variables for multiple regressions. Residualdata.txt Residual-transformed independent variables. Pcscores.txt PC scores from principal components analysis. Description Data used in standard (Appendix A), sequential (Appendix B), and principal components regressions (Appendix C), and structural equation models (Supplement 2) of the effect of various environmental factors on the distribution of giant kelp.
DOI: 10.17035/d.2020.0124286506
title: Electronic Structure and Surface Properties of Copper Thiocyanate: A Promising Hole Transport Material for Organic Photovoltaic Cells - data

description: Considering the significance of hexagonal β-CuSCN in several optoelectronic technologies and applications, it is essential to investigate its electronic structure and surface properties. Herein, we have employed density functional theory (DFT) calculations to characterise the band structure, density of states, and the energy-dependent XPS valence band spectra at variable excitation energies of β-CuSCN. The surface properties in the absence and presence of dimethyl sulfoxide (DMSO), a solvent additive for improving perovskite solar cells' power conversion efficiency, have also been systematically characterized. β-CuSCN is shown to be an indirect band gap material (Eg= 3.68 eV) with the valence band edge is demonstrated to change from being dominated by Cu-3d at soft X-ray ionization photon energies to Cu-3p at hard X-ray ionization photon energies. The adsorption energy of dimethyl sulfoxide (DMSO) on the (100) and (110) β-CuSCN surfaces is calculated at -1.12 and -0.91 eV, respectively. The presence of DMSO on the surface is shown to have a stabilisation effect, lowering the surface energy and tuning the work function of the β-CuSCN surfaces, which is desirable for organic solar cells to achieve high power conversion efficiencies. Data underpinning the work are available in the .xlsx format (can be viewed either by MS Office or Libre Office) comprising 6 datasheets named according to their contents. Data for the optimized CuSCN bulk structure and the DMSO adsorption structures are available in CONTCAR format of the VASP simulation program. The density of states (DOS) data are in 2 columns: the first column been the Energy (eV) and the second column being the intensity of the DOS (arb. units). The band structure data is also in 2 columns: the first column been the K-points and the second column being the Energy (eV). The data for the energy-dependent XPS valence band spectra of β-CuSCN at variable excitation energies (Al Kα1 (1486 eV), 4068 eV, and 8133 eV) are provided. All data can be plotted using any plotting software, e.g., xmgrace, excel.
DOI: 10.17632/j33xfgvyyz
title: Replication Data for: Precision Oncology, Signaling Pathways Reprogramming and Targeted Therapy: A Holistic Approach to Molecular Cancer Therapeutics

description: The TCGA Research Network started in 2005 has profiled and analyzed a large number of human tumors to discover molecular aberrations at the DNA, RNA, protein, and epigenetic levels and thereby provided reliable diagnostic and prognostic biomarkers for different cancer types since then.The presence of mutated genes is strongly correlated with cancer incidence, very specific causative genes or a small set of genes for most cancers have not been confirmed after decades of genomic studies. Nobel laureate James D. Watson opined at Cancer World 2013: "We can go ahead and sequence every piece of DNA that has ever existed, but I don't think we'll find the Achilles heel of cancer. Importantly, it is not only necessary to associate genetic mutations with different cancers but also to work on the mechanism of action of mutagens by focusing on enzymes which could invariably mediate oncogenic transformations. For example, overexpression of the ribonucleotide reductase (RnR) enzyme which catalyzes the formation of deoxyribonucleotides from ribonucleotides necessary for cell division, is implicated in many forms of cancer and the genes for the components of the enzyme are often mutated, leading to hyperactivity of the enzyme. But there are instances indicating that cytoplasmic material rather than the karyoplast would be responsible for cellular transformation that might be better explained as a consequence of certain epigenetic modulation than purely genetic changes. .RnR active site inhibitors have been developed accordingly to biophysically deactivate the enzyme when necessary, with positive results A comprehensive analysis of tumors based on their genomic studies must reveal the alterations in signaling pathways indicating patterns of vulnerabilities and the means to identify prospective targets for the development of personalized treatments and new combination therapies. In this regard, the Cancer Cell Map Initiative (CCMI), launched in 2015 by researchers at the University of California, San Francisco and the University of California, San Diego, allowed researchers to determine how hundreds of genetic mutations involved in a few types of cancer affect the activity of certain crucial proteins which ultimately lead to the manifestation of cancer. As there is a large amount of sequence data from many different cancer types, efforts are being made to extract mechanistic insights from the available information, requiring an integrated computational and experimental strategy that will help place these alterations in the higher order contexts of signaling mechanisms in cancer cells. This is the defined goal of the CCMI and has the potential to create a resource that can be used for cancer genome interpretation, enabling the identification of key complexes and pathways to better understand the biology underlying different cancer types and conditions for precise treatment of the disease.
DOI: 10.17632/y2hp539ww3
title: Gasoline Octane Number

description: The FCC gasoline refining desulfurization unit of a petrochemical enterprise has been running for 4 years, and a lot of historical data have been accumulated. The average octane number loss of its gasoline products is 1.37 units, while the minimum loss of similar units is only 0.6 units. The brief data.xlsx is the original dataset, the rest are the processed datas.
DOI: 10.6084/m9.figshare.20559783.v1
title: Global Data Sets of Vegetation Leaf Area Index (LAI)3g

description: A neural network algorithm was first developed between the new improved third generation Global Inventory Modeling and Mapping Studies (GIMMS) Normalized Difference Vegetation Index (NDVI3g) and best-quality Terra Moderate Resolution Imaging Spectroradiometer (MODIS) LAI products for the overlapping period 2000–2009. The trained neural network algorithm was then used to generate corresponding LAI3g and FPAR3g data sets with the following attributes: monthly temporal frequency, 0.5 degree spatial resolution and temporal span of July 1981 to December 2011.
DOI: 10.6084/m9.figshare.22785491.v1
title: Classification of MLH1 missense VUS using protein structure-based deep learning-Ramachandran plot-molecular dynamics simulations method

description: Variant of Uncertain Significance Ramchandran Scatter Plot files in CSV format
DOI: 10.6084/m9.figshare.25348465.v1
title: Data_BFR_SEP.xlsx

description: Condition Coding: <br>1_: CUFF <br>2_: BFRT <br>3_: TRAIN<br><br>Examples: <br>1_BFR_N20_1_LAT<br>N20 Latency of ACTIVE (BFR) during SEP timepoint 1 (PRE) for Condition CUFF<br>3_CON_N20_5_LAT<br>N20 Latency of PASSIVE (CON) during SEP timepoint 5 (T4) for Condition TRAIN
DOI: 10.15468/dl.2cnmte
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Argentina silus (Ascanius, 1775)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "BasisOfRecord is one of (Specimen, Living Specimen, Observation, Human Observation, Machine Observation, Material sample, Literature Occurrence, Material citation, Occurrence evidence)",
 "Geometry POLYGON ((11.2741 -15.6621,11.2727 -16.1504,17.9648 -16.1504,17.9648 -7.1504,12.3365 -7.1504,12.3429 -7.1607,12.8524 -8.4392,12.5237 -8.8791,12.5024 -9.17,13.3428 -11.0863,13.2132 -11.9643,12.6132 -12.4537,12.0505 -13.2857,11.7929 -14.5817,11.546 -15.3352,11.2741 -15.6621))"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0013290-250525065834625/datasets/export for details.
DOI: 10.17632/dhv8767r3z
title: BMCRN_DN_OI_Image file 1

description: Image file 1. Scatterplots showing correlation of signal values between carcinoma and normal follicular tissues. Differentially expressed genes in carcinoma tissues with fold change ≥2.0 are shown as green (upregulated) or red (downregulated) dots.
DOI: 10.6084/m9.figshare.20022980.v1
title: Assembly documentation

description: Assembly process and result
DOI: 10.6084/m9.figshare.22785191.v1
title: Methylation proportion at different regional level

description: The methylation information of 11 different tissues from zebrafish at the regional level based on the GRCz11 genome.
DOI: 10.6084/m9.figshare.23674911.v1
title: wearSiteDetectionAndCategorization

description: Raw acceleration data at multiple wear sites.
DOI: 10.6084/m9.figshare.7127726.v3
title: PPTC RNAseq and Genomic Alterations

description: Data deposited here have origins through the National Cancer Institute Pediatric Preclinical Testing Consortion (NCI PPTC) and Alex's Lemonade Stand.<br>The RNAseq data is an FPKM matrix of 250 samples measured across 51,968 genes.<br>The alterations matrix consist of deleterious DNA mutations, DNA copy number alterations, and fusions of varying functional confidence.<br>Gene expression classifiers are applied to the gene expression matrix and the results are interpreted in https://github.com/marislab/pdx-classification
DOI: 10.14749/27643626
title: South African Social Attitudes Survey (SASAS) 2004: Questionnaire 2 - All provinces

description: <p> The questions contained in the core modules of the two SASAS questionnaires for 2004 (demographics and core thematic issues) were asked of 7000 respondents, while the remaining rotating modules were asked of a half sample of approximately 3500 respondents each.</p><p> The data set contains 2784 records and 336 variables.</p><p> Topics included in the questionnaires are: democracy, identity, public services and local government, health status, HIV/AIDS, health behavior, moral and religious issues, crime, voting, demographics and other classificatory variables.</p><p> Rotating modules are: International Social Surveys Programme (ISSP) module, environment, democracy part 2, poverty.</p>