cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.3535/k5d-mh3-xns
title: †Trilobita

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.3535/lmc-z96-czx
title: Calymene

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.3535/k4e-l61-k33
title: Coccosteus markae Obrucheva, 1962

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.3535/w5z-4fx-fgj
title: Coleoidea Bather, 1888

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.17632/84gpsftxhb
title: DATA MATERIAL: ''Discrepancy and Cross-Regional Bias in Sovereign Credit Ratings: Analyzing the Role of Public Debt''

description: This package contains the data and Matlab code. 1. You should place all the files in the same directory. 2. The file "rating.xls" contains the data for the article. The first row of the data contains the variables. 3. To run the PSTR model, execute the main program in Matlab: "PSTR_principal.m." It will run by calling all the other subprograms.
DOI: 10.3535/chq-c19-zde
title: Tartuosteus maximus Mark-Kurik, 1965

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.3535/fcy-2lr-be2
title: †Trilobita

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.3535/bya-sp3-706
title: sedimentary rocks

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.3535/mfq-8pb-n32
title: limestone

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.3535/e4k-tcn-d3k
title: Minerals

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.3535/vvb-mq8-dpr
title: †Subulites Emmons, 1842

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.3535/dbc-20b-18f
title: Chalcophyllite

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.3535/61q-hw0-99f
title: Minerals

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.3535/s1c-5wp-953
title: †Diplotrypa petropolitana Nicholson, 1879

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.3535/eed-w4j-gkb
title: Gypsum

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.3535/zjy-xez-v1k
title: Pyromorphite

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.3535/8bn-2b5-861
title: Tremolite

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.3535/q46-m4t-xns
title: †Temnodiscus Koken, 1896

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.3535/6mj-gkz-cv2
title: Ilmenite

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.3535/nq1-d3f-kq1
title: Clinochlore

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.3535/asz-14l-ley
title: Tremolite

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.3535/bsb-8ns-65l
title: Chloritoid

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.15468/dl.vhn4ac
title: Occurrence Download

description: A dataset containing 44526 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Didelphis virginiana Kerr, 1792"
 ]
}

 The dataset includes 44526 records from 164 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0009346-250325103851331/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.3535/55r-emw-dqc
title: Lüneburgite

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.3535/7m4-dbn-5zx
title: Tremolite

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.3535/x8z-grm-98r
title: Tremolite

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.17632/8hxrvjpxw4
title: REGULATION OF BANKS’ CAPITAL AND MACRO-STABILITY — A THEORETICAL APPRAISAL

description: Following the adoption of the New Economic Policy (NEP) by India in July 1991, Government of India (GOI) has started viewing banks as commercially organized profit driven financial institutions whose viability depends upon their ability to make profit. Like all capitalist economies, India is also subject to trade cycles and onset of a recession leads to a drop in banks’ profit levels and an increase in their stock of non-performing assets. This prompts the government to ask banks to tighten lending norms and maintaining adequate capital buffer as mandated by minimum capital requirement norm. This paper develops a simple baseline model to examine the implications of this kind of a policy. It shows that the policy noted above deepens recession, increases inequality and exacerbates the problem of non-performing assets and lowers profit. It also shows that, instead of taking the banks and the defaulting firms to task for a factor that is completely beyond their control, the best way of tackling this problem is to adopt appropriate stabilization programmes to counter the recession.
DOI: 10.3535/07x-ajr-p2b
title: Minerals

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.3535/xfc-wye-gm3
title: Minerals

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.17632/cyrznv592z
title: Baseline and stress-induced steroid plasma levels and immune function vary annually and are associated with vocal activity in male toads (Rhinella icterica)

description: Full data for the paper "Baseline and stress-induced steroid plasma levels and immune function vary annually and are associated with vocal activity in male toads (Rhinella icterica)" in General and Comparative Endocrinology.
DOI: 10.17632/zd3vj49c3t
title: Revenue trend analysis - Brand Identity - Economics

description: Dataset Description: Revenue Trend Analysis (2020-2023)
Overview
This dataset provides a comprehensive analysis of revenue data over a three-year period, specifically from 2020 to 2022-2023. It includes revenue figures expressed in Indian Rupees (₹) and utilizes statistical methods to visualize trends and correlations within the data. The analysis employs linear regression to identify trends in revenue growth and generates visual representations through line plots and heatmaps.
Data Structure
The dataset consists of two main columns:
Year: This column indicates the fiscal years under consideration. The years are represented as strings, with the last year in the range specified for "2022-2023."
Revenue (₹ Crores): This column contains revenue figures formatted as strings, including currency symbols and commas.
Data Preparation
Cleaning Revenue Data:
The revenue values are cleaned by removing the currency symbol (₹) and commas, converting them into float data types for numerical analysis.
Handling Year Format:
The year data is processed to ensure consistency, particularly for the entry "2022-2023," which is converted to just "2023" for clarity in analysis.
Growth Rate Calculation:
A new column, "Growth Rate (%)", is added to represent the percentage change in revenue from one year to the next. This is calculated using the pct_change() method, which computes the percentage growth relative to the previous year's revenue.
Statistical Analysis
Linear Regression Model:
A linear regression model is fitted to the data to predict revenue based on the year. The model helps identify trends in revenue growth over time.
Predicted values are generated using the fitted model, which allows for comparison with actual revenue figures.
Visualizations
Revenue Trend Plot:
A line plot illustrates the actual revenue over the years alongside a trend line derived from the linear regression model.
The plot features:
Actual revenue points connected by lines (in blue).
A dashed red line representing the optimal trend line predicted by the linear regression model.
Axes labeled with appropriate titles and a grid for better readability.
Correlation Heatmap:
A heatmap visualizes the correlation between year, revenue, and growth rate metrics.
The correlation matrix is computed from the relevant columns, providing insights into how these variables relate to one another.
The heatmap uses a color gradient to represent correlation coefficients, with annotations indicating precise values.
Conclusion
This dataset serves as a valuable resource for analyzing revenue trends over a specified period while employing statistical methods to derive meaningful insights. By cleaning and processing the data effectively, applying linear regression for trend analysis, and visualizing results through plots and heatmaps, this analysis provides a clear understanding of revenue dynamics and growth patterns from 2020 to 2023.
DOI: 10.3535/h9r-2g1-z66
title: †Subulites Emmons, 1842

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.3535/jw0-w8a-cgb
title: Clinochlore

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.17632/9cjrrf6b4f
title: A method and a program for the numerical evaluation of the Hilbert transform of a real function

description: Abstract In the first part of this paper a method for the evaluation of the Hilbert transform of a function, approximated by piecewise polynomials, is presented. In the second part a program is presented to be used when the function is approximated by cubic splines. We show that the Hilbert transform displays the same strong convergence properties as the cubic splines. The asymptotic properties of the Hilbert transform are shown to be very well reproduced. Title of program: FHT Catalogue Id: ABVD_v1_0 Nature of problem This program calculates the Hilbert transform of a continuous function. The evaluation of the matrix elements of the Green's function in quantum mechanics involves the evaluation of the Hilbert transform of the matrix elements of the Hamiltonian operator. The same type of problem appears in many other fields of applied physics. The program assumes that a cubic spline interpolation has been performed over the integration region. As the Hilbert transform function is evaluated at a point of the com ... Versions of this program held in the CPC repository in Mendeley Data ABVD_v1_0; FHT; 10.1016/0010-4655(80)90008-9 This program has been imported from the CPC Program Library held at Queen's University Belfast (1969-2018)
DOI: 10.3535/ae6-sth-w7l
title: Minerals

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.3535/cqj-gp7-x98
title: Andradite

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.3535/565-pjl-erx
title: Minerals

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.3535/q9v-ac6-bph
title: Minerals

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.17632/yns5rd63rw
title: Processed data

description: High Areal and Volumetric Rate Capability of Thick-and-Dense Electrodes of 2D Nanomaterials Enabled by Femtosecond Laser Drilling Micro-hole Array
DOI: 10.3535/ff2-ex0-gf1
title: †Bucania J. Hall, 1847

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.3535/xyy-g58-qnt
title: Minerals

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.3535/4xp-621-kza
title: igneous rocks

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.3535/spw-t18-c9a
title: Glauberite

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.3535/j3d-dp5-rnf
title: Almandine

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.3535/qbt-tx4-97p
title: Copper

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.15468/dl.c6rvkr
title: Occurrence Download

description: A dataset containing 14 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is China",
 "TaxonKey is Sequoia sempervirens (D.Don) Endl."
 ]
}

 The dataset includes 14 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0009347-250325103851331/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.3535/mje-ab1-bsr
title: Almandine

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.15468/dl.v9rwcx
title: Occurrence Download

description: A dataset containing 56 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Brazil",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Sapajus flavius (Schreber, 1799)"
 ]
}

 The dataset includes 56 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0009348-250325103851331/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.3535/nsh-vl4-he0
title: †Leptaena Dalman, 1828

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.3535/v3t-0xm-at0
title: sedimentary rocks

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.3535/1kz-3cb-kaj
title: Homacanthus gracilis (Eichwald) uimega

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.3535/2cp-sel-qpt
title: †Straparollus Montfort, 1810

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.3535/jjw-m32-0s3
title: Rhegmaphyllum slitense Wedekind

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.3535/rsd-b8w-v1c
title: Bivalvia Linnaeus, 1758

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.3535/0vx-9m6-9gm
title: †Diplotrypa petropolitana Nicholson, 1879

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.3535/c5j-me4-hcw
title: †Gyronema Ulrich, 1897

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.3535/66h-knc-q5e
title: Strontianite

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.3535/l9x-tp9-cxt
title: †Pollicina Koken, 1895

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.17632/bncy3n34v7
title: Fourier transform and near infrared dataset of dialdehyde celluloses used to determine the degree of oxidation with chemometric analysis

description: All data refer to the original research article “A fast method to measure the degree of oxidation of dialdehyde celluloses using multivariate calibration and infrared spectroscopy”.  

1) The developed NIR/PLSR models (1 and 2) and FTIR/PLSR models (3 and 4) with the corresponding spectra are provided: “Dataset”>”processed_data” (.q2 and .0 files)

2) In addition, the spectral raw data for each model (1-4) is provided, if a different chemometrics software is used: "Dataset">"raw_data.zip" (.csv files)
DOI: 10.3535/kq5-hw0-axt
title: Aragonite

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.3535/n6b-7t2-122
title: Ooid-limestone

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.17632/8mpc9y9797
title: Cell Reports; Nychyk et al 2021; Figure S1; Protein quality and quantity influence the effect of dietary fat on weight gain and tissue partitioning via host-microbiota changes

description: This experiment was done to analyze the impact of dietary macronutrients on body weight and tissue partitioning in relation to plasma IGF-1 levels. In total we used 18 different diets and tested these on males of one mouse strain (C57BL/6). This file contains body weight and the correlation between IGF-1 and body/tissue weight of male C57BL/6 mice exposed one of 18 different diets. Body weight was recorded after 6 weeks and at the end of the treatment period. Linear regression analysis was conducted between individual tissues and body weight or IGF-1 hormone. The tissue weights are from dissection at the end of the experiment and IGF-1 levels are from plasma. Dietary treatments consisted of three different levels of dietary fat (20, 40 and 55% by energy) combined with three different levels of protein (10, 20 and 30% by energy) with either casein (CAS) or whey protein isolate (WPI). Full details of the dietary compositions can be found in the supplementary table 1. Complete meta-data are in the meta-data tab of the file. Body weight: means for each diet derived from individual values and presented in Figure S1A. Regression coefficients (R2) and p-values are listed for each comparison and these individual values presented as heatmap in Figure S1B.
DOI: 10.17632/j3t9t8dxpk
title: Data for: Navigation and Perception of Spatial Layout in Virtual Echo-Acoustic Space

description: Data reported in the results section (but broken down for each individual participant) in excel format.
DOI: 10.3535/60b-byw-3wf
title: Hedenbergite

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.3535/9rq-5sk-tky
title: Ostrea Linnaeus, 1758

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.3535/6fr-p91-h9z
title: Arsenopyrite

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.3535/84c-laz-tjn
title: Diopside

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.3535/hdr-h7d-6a8
title: Azurite

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.3535/m61-c5e-50z
title: Arsenopyrite

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.3535/6hv-syc-edt
title: Diopside

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.3535/qgw-e71-ela
title: Silver

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.3535/cwq-2r6-gyj
title: Pyrite

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.3535/ng5-615-650
title: Oligoclase

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.17632/f45st2xmkj
title: NGS Patstat data

description: The datasets included in the repository concern results obtained following patent searches performed by means of Patstat online (https://www.epo.org/searching-for-patents/business/patstat.html#tab-1). The analysis performed by means of Patstat online during Dec. 2019 using the Autumn 2019 edition of Patstat is quite complex therefore has been organised according to the following five objectives: 1) the files named ‘C1 – C4’ are included in the folder ‘Coverage NGS’ and are essentially aimed at determining the amount of patent families corresponding to patent applications filed considering the Next Generation Sequencing techniques/tools or the more generic item dealing with genomic sequencing. Another aim is that of ranking the applicants specifically dealing with the NGS matter. A pdf file includes a list of the patent documents in order to show that the found results effectively deal with NGS. 2) The files named ‘N1 – N2’ (‘Normalization NGS’) allow to determine the number of patent applications specifically concerning the NGS matter and filed to different national patent authorities. It may be reasonably assumed that if one geographical area is much wider and characterised by a higher number of residents than a second one, in the former case a higher number of filed patent applications than in the latter case would be reasonable, unless the normalization of the data would rather reveal a preferential specialization or commitment of one territory toward a specific technical item. 3) The files named ‘Q1 – Q5’ are the results of search criteria aimed at determining the average quality of the technical content of pooled patent documents. As detailed in the ‘Quality NGS’ folder content, qualitative considerations may benefit from knowledge regarding the differentiation between competitors based on parameters such as the residual validity of the patents, the number of fee payments, the dimension of the patent family or the number of forward citations of a patent document. 4) The files named ‘S1 – S4’ are aimed at elucidating the collaborations occurred in a specific time-frame between one applicant and one patent attorney. Cases in which two applicants, having collaborated with the very same patent attorney, can be considered as competitors or collaborators (co-assignees according to the possibility of co-filing a patent application), could emerge by means of such search phase. 5) The files named ‘E1 – E8’, included in the ‘NGS Evolution’ folder, contain data regarding four nucleic acids sequencing techniques currently acknowledged as state of the art. Such files are aimed at evaluating and compare the trends corresponding to each of these techniques, estimated by means of the number of patent families and also aimed at identifying the players on the basis of the level of their commitment toward each of the four technologies, as detailed in the ‘NGS Evolution’ folder.
DOI: 10.3535/g78-qmy-rsd
title: Sodalite

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.3535/q6k-gp1-4qy
title: Helvine

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.15468/dl.dkkq5d
title: Occurrence Download

description: A dataset containing 1367 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Blepharis maderaspatensis (L.) B.Heyne ex Roth",
 "Continent is Africa"
 ]
}

 The dataset includes 1367 records from 81 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0009349-250325103851331/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.3535/1a0-jgj-cgz
title: Albite

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.3535/4jt-a2c-dxv
title: Sodalite

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.3535/qy1-ld2-fpe
title: Chabazite

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.3535/v28-2k7-t8v
title: Plagioclase

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.