cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.17632/wyvhzp5njs.1
title: Modified circular dichroism data set for validation of secondary structure estimate algorithms

description: This data set, as an Excel file, was created by simulation of nine far UV CD spectra from the Protein CD Data Base. Spectra were fit as the sum of several (usually four) Gaussian peaks. These noise-free images of the CD spectra were then modified - creating "imperfect data" - by shifting spectral wavelength, intensity and offset, or by varying the noise level, or the ratio of peaks at 192 and 290 nm for a camphor-10-sulphonic acid reference standard. The extent of modification was based on literature data. These modified spectra can help validate the robustness of algorithms used to estimate the secondary structure content of proteins. This was demonstrated for the BeStSel algorithm in the associated publication.
Understanding the robustness of a method to imperfect calibration and spectral factors is critical in the validation of analytical methods using the ICH Q2(R1) protocol, the standard for the pharmaceutical and biopharmaceutical industries.
DOI: 10.14473/csda/dikgg8/at6yrq
title: PR03_V1410.pdf

description: Postoje veřejnosti k lustracím – říjen 2014. Tisková zpráva CVVM.
DOI: 10.17632/d6dhgjcys2.1
title: Understanding the environmental performance of the Iraqi traditional courtyard house, Is there an order of façades orientation in randomly oriented land plots?

description: This paper aims to explore the order used to orient spaces within the Iraqi traditional courtyard houses in an
urban fabric of randomly oriented land plots. The importance of the subject lies in the possibility of benefiting
from this order in developing contemporary building designs to achieve thermal comfort and energy conservation.
The methodology of the research included the investigation of the geographical orientation effect on
the exposure of walls to solar radiation to recognize the directions that sun can effectively be blocked in the
summer, while maintaining exposure to it in winter. Other directions were also identified, where either blocking
the sun is practically difficult or where they have no sun. The paper analyzed the orientation of spaces surrounding
courtyard in a traditional fabric to verify whether they follow a specific order or not. It was found that
the majority percentage of houses is oriented to the desired directions, despite the randomness of the land plot
orientation. This paper designed a model for a courtyard house that simulates ones in the traditional fabric to
prove that building spaces can be oriented to specific geographic directions even with randomly oriented land
plot.
DOI: 10.17632/jcysg2h3dg.1
title: Stock Investor and Personality

description: Raw data of investors categorized by their 5 traits personality types. The dependent variable is stock retention
DOI: 10.14473/csda/dikgg8/wjjpos
title: PR06_V1410.pdf

description: Občané o hospodářské situaci ČR a o životní úrovni svých domácností – říjen 2014. Tisková zpráva CVVM.
DOI: 10.6084/m9.figshare.20003882.v1
title: Additional file 2 of Expressions of resistome is linked to the key functions and stability of active rumen microbiome

description: Additional file 2. Fig. S1–S8.
DOI: 10.7284/155892
title: Gravimeter data collected during research cruise SKQ202304S using a Bell BGM-3 instrument system onboard the platform RV Sikuliaq

description: Original (unprocessed) data collected during a Field_expedition
DOI: 10.6084/m9.figshare.13726693
title: Climatic Forcing of Plio-Pleistocene Formation of the Modern Limpopo River, South Africa

description: The heavy-mineral data of 18 marine sediment samples from IODP 361 Site U1478A and zircons U-Pb data from U1478A core-top sample.
DOI: 10.6084/m9.figshare.20003879.v1
title: Additional file 1 of Expressions of resistome is linked to the key functions and stability of active rumen microbiome

description: Additional file 1. Table S1–S14.
DOI: 10.7284/155897
title: Radiometer data collected during research cruise SKQ202304S using a Biospherical QSR-2150 instrument system onboard the platform RV Sikuliaq

description: Original (unprocessed) data collected during a Field_expedition
DOI: 10.7284/155908
title: Meteorological Station data collected during research cruise SKQ202304S using a Paroscientific MET4A instrument system onboard the platform RV Sikuliaq

description: Original (unprocessed) data collected during a Field_expedition
DOI: 10.7284/156051
title: Singlebeam Echosounder data collected during research cruise SKQ202310S using a L3ELAC LAZ 5100 instrument system onboard the platform RV Sikuliaq

description: Original (unprocessed) data collected during a Field_expedition
DOI: 10.17882/96693
title: Critical Thermal Maximum in embryonic Pacific herring

description: These data were collected at Shannon Point Marine Center in Washington, U.S.A. in March and May, 2021. Embryos were reared at either 10C (ambient) or 16C (heightened) and at either ~500 pCO2 uatm (ambient) or ~2000 pCO2 uatm (heightened). These data measure the response of winter-spawned Pacific herring embryos to critical thermal maximum excursions (CTmax) up to either 20C or 25C for 1, 2, or 3 hours of exposure. Percent survival was evaluated between rearing temperature and pCO2 level, maximum CTmax temperature, and duration of exposure to CTmax. The results evaluate if rearing conditions affect survival during a marine heatwave and the CTmax temperature and duration at which survival diminishes.
DOI: 10.34740/kaggle/dsv/6609086
title: 2021 World Population (updated daily)
DOI: 10.34740/kaggle/dsv/6609087
title: YouTube Trending Video Dataset (updated daily)
DOI: 10.23729/2e930f19-562a-42c1-ae6f-8075b3e70761
title: VPSC

description: Two text documents in which one contains volume of the Polar Stratospheric Cloud estimated from ERA5 temperature and the other contains variable description to each column of data.
DOI: 10.6084/m9.figshare.24242776
title: SLE_data.xlsx

description: Research Data
DOI: 10.6084/m9.figshare.24242776.v1
title: SLE_data.xlsx

description: Research Data
DOI: 10.5281/zenodo.8406444
title: 5-stack data

description: Flux data used to measure the transmission and energy selection characteristics of a 5-layer energy analyzer
DOI: 10.2908/teilm010
title: Chômage par sexe
title: Arbeitslosigkeit nach Geschlecht
title: Unemployment by sex

description: Zu den Arbeitslosen zählen Personen im Alter zwischen 15 und 74 Jahren, die in der Berichtswoche ohne Arbeit waren, für eine Arbeit sofort verfügbar waren und in den vergangenen vier Wochen aktiv auf Arbeitssuche waren oder eine Arbeit gefunden hatten, die sie innerhalb der nächsten drei Monate aufnehmen würden.
description: Unemployed persons comprise persons aged 15 to 74 who were without work during the reference week, were currently available for work and were either actively seeking work in the past four weeks or had already found a job to start within the next three months.
description: Les chômeurs comprennent les personnes âgés de 15 à 74 ans qui étaient sans travail pendant la semaine de référence, qui étaient disponibles pour travailler, et qui soit étaient à la recherche active d'un travail pendant les quatre semaines précédentes, soit qui avaient trouvé un travail à commencer dans les trois mois suivants.
DOI: 10.2908/ei_lmhr_m
title: Unemployment rate (%) - monthly data
title: Taux de chômage (%) - données mensuelles
title: Arbeitslosenquote (%) - monatliche Daten
DOI: 10.2908/ei_lmhu_m
title: Unemployment (1 000) - monthly data
title: Arbeitslosigkeit (1 000) - monatliche Daten
title: Chômage (1 000) - données mensuelles
DOI: 10.6084/m9.figshare.24242791
title: X-band Radar Image in Sokcho Beach(Republic of Korea)

description: Description of the data and file structureRadar images collected in Sokcho, Republic of Korea. Data were collected by installing a radar system on the roof of the Administrative Welfare Centre located at Sokcho beach, and the data used in this study were from June 1, 2021, to August 13, 2021.Each of the three months of data is compressed by month. The file was saved as "year-month&day-time.bmp."Sharing/Access informationPlease utilize radar imagery for your research. To use it, kindly state your purpose by emailing yangyj@tu.ac.kr, and include the author when writing your paper. Please acknowledge that the radar imagery data was collected with the support of the Republic of Korea government, and make sure to include the author and this information in your work. Failure to include the required information may result in legal penalties. If you contact us by email, we will provide you with the password.For research purposes, you are free to use the data, but if you use materials that include copyrights, such as papers, books, or reports, please make sure to provide proper attribution. This data has been collected with support from the South Korean government, and failing to cite the source (PLOS ONE paper, "Significant Wave Height Prediction from X-Band Marine Radar Images using Deep Learning with 3D Convolutions") may result in legal consequences.
DOI: 10.24416/uu01-67uhb4
title: History Database of the Global Environment 3.3

description: This database presents an update and expansion of the History Database of the Global Environment (HYDE, v 3.3) and replaces former HYDE 3.2 version from 2017.
HYDE is and internally consistent combination of updated historical population estimates and land use. Categories include cropland, 
with a new distinction into irrigated and rain fed crops (other than rice) and irrigated and rain fed rice. Also grazing lands are provided, divided into more intensively used pasture, converted rangeland and non-converted natural (less intensively used) rangeland. Population is represented by maps of total, urban, rural population and population density as well as built-up area. The period covered is 10 000 BCE to 2023 CE. Spatial resolution is 5 arc minutes (approx. 85 km2 at the equator), the files are in ESRI ASCII grid format. Contact person: Kees Klein Goldewijk - c.g.m.kleingoldewijk@uu.nl
DOI: 10.5281/zenodo.8154947
title: Multi-omics data analysis for rare population inference using single-cell graph transformer

description: # Dataset Title: Gene Expression Data from XYZ Disease Mouse Model This dataset includes gene expression data obtained from a mouse model for XYZ disease. The data was derived from 3 experimental groups: a control group (n=10), a disease group (n=10), and a treatment group (n=10). ## Data Collection The data was collected using GEO Database. ## Data Format The data is stored as TSV file and MTX file where each row represents a gene and each column represents a sample. ## Variables - Gene IDs: Gene Symbols (e.g., MALAT1) - Sample IDs: Sample identifiers (e.g., AAACATGCAAATTCGT-1) - Expression level: Row gene expression level.
DOI: 10.5281/zenodo.8159720
title: Multi-omics data analysis for rare population inference using single-cell graph transformer

description: ## GMarsGT: Multi-omics data analysis for rare population inference using single-cell graph transformer obtained from a mouse model for XYZ disease. The data was derived from 3 experimental groups: a control group (n=10), a disease group (n=10), and a treatment group (n=10). ## Data Collection The data was collected using GEO Database. ## Data Format The data is stored as TSV file and MTX file where each row represents a gene and each column represents a sample. ## Variables - Gene IDs: Gene Symbols (e.g., MALAT1) - Sample IDs: Sample identifiers (e.g., AAACATGCAAATTCGT-1) - Expression level: Row gene expression level.
DOI: 10.5281/zenodo.8160180
title: Multi-omics data analysis for rare population inference using single-cell graph transformer

description: ## MarsGT: Multi-omics data analysis for rare population inference using single-cell graph transformer. ## Data Collection The data was collected using GEO Database. ## Data Format The data is stored as TSV file and MTX file where each row represents a gene and each column represents a sample. ## Variables - Gene IDs: Gene Symbols (e.g., MALAT1) - Sample IDs: Sample identifiers (e.g., AAACATGCAAATTCGT-1) - Expression level: Row gene expression level.
DOI: 10.5281/zenodo.8163160
title: Multi-omics data analysis for rare population inference using single-cell graph transformer

description: ## GMarsGT: For rare cell identification from matched scRNA-seq (snRNA-seq) and scATAC-seq (snATAC-seq),includes genes, enhancers, and cells in a heterogeneous graph to simultaneously identify major cell clusters and rare cell clusters based on eRegulon. ## Data Collection The data was collected using GEO Database. ## Data Format The data is stored as TSV file and MTX file where each row represents a gene and each column represents a sample. ## Variables - Gene IDs: Gene Symbols (e.g., MALAT1) - Sample IDs: Sample identifiers (e.g., AAACATGCAAATTCGT-1) - Expression level: Row gene expression level.
DOI: 10.2908/teilm011
title: Chômage par sexe - classe d'âge 15-24
title: Arbeitslosigkeit nach Geschlecht - Alter 15-24
title: Unemployment by sex - age group 15-24

description: Zu den Arbeitslosen zählen hier Personen im Alter zwischen 15 und 24 Jahren, die in der Berichtswoche ohne Arbeit waren, für eine Arbeit sofort verfügbar waren und in den vergangenen vier Wochen aktiv auf Arbeitssuche waren oder eine Arbeit gefunden hatten, die sie innerhalb der nächsten drei Monate aufnehmen würden.
description: Unemployed persons comprise here persons aged 15 to 24 who were without work during the reference week, were currently available for work and were either actively seeking work in the past four weeks or had already found a job to start within the next three months.
description: Les chômeurs comprennent ici les personnes âgés de 15 à 24 ans qui étaient sans travail pendant la semaine de référence, qui étaient disponibles pour travailler, et qui soit étaient à la recherche active d'un travail pendant les quatre semaines précédentes, soit qui avaient trouvé un travail à commencer dans les trois mois suivants.
DOI: 10.2908/teilm012
title: Chômage par sexe - classe d'âge 25-74
title: Unemployment by sex - age group 25-74
title: Arbeitslosigkeit nach Geschlecht - Alter 25-74

description: Zu den Arbeitslosen zählen hier Personen im Alter zwischen 25 und 74 Jahren, die in der Berichtswoche ohne Arbeit waren, für eine Arbeit sofort verfügbar waren und in den vergangenen vier Wochen aktiv auf Arbeitssuche waren oder eine Arbeit gefunden hatten, die sie innerhalb der nächsten drei Monate aufnehmen würden.
description: Unemployed persons comprise here persons aged 25 to 74 who were without work during the reference week, were currently available for work and were either actively seeking work in the past four weeks or had already found a job to start within the next three months.
description: Les chômeurs comprennent ici les personnes âgés de 25 à 74 ans qui étaient sans travail pendant la semaine de référence, qui étaient disponibles pour travailler, et qui soit étaient à la recherche active d'un travail pendant les quatre semaines précédentes, soit qui avaient trouvé un travail à commencer dans les trois mois suivants.
DOI: 10.2908/teilm020
title: Unemployment rate by sex
title: Taux de chômage par sexe
title: Arbeitslosenquote nach Geschlecht

description: Die Arbeitslosenquote ist definiert als der prozentuale Anteil der Arbeitslosen an den Erwerbspersonen. Dabei werden die Kriterien der Internationalen Arbeitsorganisation (ILO) zugrunde gelegt. Die Erwerbspersonen umfassen die Erwerbstätigen und die Arbeitslosen. Als Arbeitslose definiert sind Personen zwischen 15 und 74 Jahren (einschließlich), die - ohne Arbeit sind, - innerhalb der nächsten zwei Wochen eine Arbeit aufnehmen können, - und während der vier vorhergehenden Wochen aktiv eine Arbeit gesucht haben. Die Daten sind saisonbereinigt.
description: The unemployment rate represents unemployed persons as a percentage of the labour force based on International Labour Office (ILO) definition. The labour force is the total number of people employed and unemployed. Unemployed persons comprise persons aged 15 to 74 who: - are without work during the reference week; - are available to start work within the next two weeks; - and have been actively seeking work in the past four weeks or had already found a job to start within the next three months. Data are presented in seasonally adjusted form.
description: Le taux de chômage représente le pourcentage de chômeurs dans la population active, sur la base de la définition de l'Organisation Internationale du Travail (OIT). La population active représente le nombre total des personnes ayant un emploi ou étant au chômage. Les chômeurs sont les personnes âgées de 15 à 74 ans qui: - sont sans travail pendant la semaine de référence, - sont disponibles à commencer à travailler dans les deux semaines suivantes, - qui soit ont été à la recherche active d'un travail pendant les quatre semaines précédentes, soit qui ont trouvé un travail à commencer dans les trois mois suivants. Les données sont présentées corrigées des variations saisonnières.
DOI: 10.2908/teilm021
title: Taux de chômage par sexe - classe d'âge 15-24
title: Unemployment rate by sex - age group 15-24
title: Arbeitslosenquote nach Geschlecht - Alter 15-24

description: Die Arbeitslosenquote ist definiert als der prozentuale Anteil der Arbeitslosen an den Erwerbspersonen. Dabei werden die Kriterien der Internationalen Arbeitsorganisation (ILO) zugrunde gelegt. Die Erwerbspersonen umfassen die Erwerbstätigen und die Arbeitslosen. Als Arbeitslose im Alter von 15 bis 24 Jahren definiert sind Personen zwischen 15 und 24 Jahren (einschließlich), die - ohne Arbeit sind, - innerhalb der nächsten zwei Wochen eine Arbeit aufnehmen können, - und während der vier vorhergehenden Wochen aktiv eine Arbeit gesucht haben. Die Daten sind saisonbereinigt.
description: The unemployment rate represents unemployed persons as a percentage of the labour force based on International Labour Office (ILO) definition, which here refers to the total number of employed and unemployed persons aged 15 to 24. Unemployed persons comprise here persons aged 15 to 24 who: - are without work; - are available to start work within the next two weeks; - and have been actively seeking work in the past four weeks or had already found a job to start within the next three months. Data are presented in seasonally adjusted form.
description: Le taux de chômage représente le pourcentage de chômeurs dans la population active, sur la base de la définition de l'Organisation Internationale du Travail (OIT), lesquelles se réfèrent ici au nombre total des personnes âgées de 15 à 24 ans ayant un emploi ou étant au chômage. Les chômeurs sont ici les personnes âgées de 15 à 24 ans qui: - sont sans travail pendant la semaine de référence, - sont disponibles à commencer à travailler dans les deux semaines suivantes, - qui soit ont été à la recherche active d'un travail pendant les quatre semaines précédentes, soit qui ont trouvé un travail à commencer dans les trois mois suivants. Les données sont présentées corrigées des variations saisonnières.
DOI: 10.2908/teilm022
title: Arbeitslosenquote nach Geschlecht - Alter 25-74
title: Taux de chômage par sexe - classe d'âge 25-74
title: Unemployment rate by sex - age group 25-74

description: Die Arbeitslosenquote ist definiert als der prozentuale Anteil der Arbeitslosen an den Erwerbspersonen. Dabei werden die Kriterien der Internationalen Arbeitsorganisation (ILO) zugrunde gelegt. Die Erwerbspersonen umfassen die Erwerbstätigen und die Arbeitslosen. Als Arbeitslose über 24 Jahre definiert sind Personen im Alter von 25 bis 74 Jahren, die: - ohne Arbeit sind, - innerhalb der nächsten zwei Wochen eine Arbeit aufnehmen können, - und während der vier vorhergehenden Wochen aktiv eine Arbeit gesucht haben. Die Daten sind saisonbereinigt.
description: The unemployment rate represents unemployed persons, based on International Labour Office (ILO) definition, as a percentage of the labour force, which here refers to the total number of employed and unemployed persons aged 25 to 74. Unemployed persons comprise here persons aged 25 to 74 who: - are without work; - are available to start work within the next two weeks; - and have been actively seeking work in the past four weeks or had already found a job to start within the next three months. Data are presented in seasonally adjusted form.
description: Le taux de chômage représente le pourcentage de chômeurs dans la population active, sur la base de la définition de l'Organisation Internationale du Travail (OIT), lesquelles se réfèrent ici au nombre total des personnes âgées de 25 à 74 ans ayant un emploi ou étant au chômage. . Les chômeurs sont ici les personnes âgées de 25 à 74 ans qui: - sont sans travail pendant la semaine de référence, - sont disponibles à commencer à travailler dans les deux semaines suivantes, - qui soit ont été à la recherche active d'un travail pendant les quatre semaines précédentes, soit qui ont trouvé un travail à commencer dans les trois mois suivants. Les données sont présentées corrigées des variations saisonnières.
DOI: 10.6084/m9.figshare.24138670
title: FNETS: Factor-Adjusted Network Estimation and Forecasting for High-Dimensional Time Series

description: We propose FNETS, a methodology for network estimation and forecasting of high-dimensional time series exhibiting strong serial- and cross-sectional correlations. We operate under a factor-adjusted vector autoregressive (VAR) model which, after accounting for pervasive co-movements of the variables by <i>common</i> factors, models the remaining <i>idiosyncratic</i> dynamic dependence between the variables as a sparse VAR process. Network estimation of FNETS consists of three steps: (i) factor-adjustment via dynamic principal component analysis, (ii) estimation of the latent VAR process via l1-regularized Yule-Walker estimator, and (iii) estimation of partial correlation and long-run partial correlation matrices. In doing so, we learn three networks underpinning the VAR process, namely a directed network representing the Granger causal linkages between the variables, an undirected one embedding their contemporaneous relationships and finally, an undirected network that summarizes both lead-lag and contemporaneous linkages. In addition, FNETS provides a suite of methods for forecasting the factor-driven and the idiosyncratic VAR processes. Under general conditions permitting tails heavier than the Gaussian one, we derive uniform consistency rates for the estimators in both network estimation and forecasting, which hold as the dimension of the panel and the sample size diverge. Simulation studies and real data application confirm the good performance of FNETS.