cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.17632/2hd6rrky88
title: PUCV Interno 35. Tabla - Análisis de la producción de los egresados de los programas de doctorado de la PUCV 2015-2019

description: La PUCV tiene una larga tradición de programas de doctorado acreditados. Estos han sido una respuesta natural a la evolución en la consolidación de fortalezas científicas: Doctorado en Ciencias mención Química (1982), Filosofía (1982), Lingüística (1993), Literatura (1994), Ciencias Física (2000), Biotecnología (2001), Ciencias de la Ingeniería con mención en Ingeniería Bioquímica (2001), Ingeniería Industrial (2012). Con el paso de los años han surgidos doctorados en conjunto con otras universidades de la región, como son la Universidad Técnica Federico Santa María, con quien se desarrolla los doctorados en Biotecnología, Ciencias Física, así como el Doctorado en Matemáticas, que junto con la UTFS se comparte con la Universidad de Valparaíso, generando sinergias regionales, investigación en colaboración, y formando egresados mejor preparados. Se han analizado los claustros de profesores y el de los egresados, comparando un conjunto amplio de indicadores de producción, rendimiento e impacto. Solo el doctorado en ciencias de los alimentos no tiene egresados. En la Tabla 1 doi: 10.17632/xfrt6hn67g.2, se muestra la comparación completa. Como es de esperar, los programas doctorales con claustros de profesores cuyos indicadores de performance e impacto son más altos, gradúan doctores con capacidades de generar resultados publicados en buenas las mejores revistas internacional y con impactos altos. indicadores de producción, performance e impacto de los claustros de profesores y de los egresados de cada programa doctoral. En la Tabla 1 doi: 10.17632/xfrt6hn67g.2 se presenta de modo comparativo este primer grupo de programas.
DOI: 10.17632/j262vcjn67
title: A non-iterative method for solving PDE's arising in electron scattering

description: Abstract Title of program: SEPDE Catalogue number: AANP Program obtainable from: CPC Program Library, Queens University of Belfast, N. Ireland (see application form in this issue) Computer: IBM 360/91; Installation: Goddard Space Flight Center, Greenbelt, MD 20771 Operating system: HASP/OS MVT Programming language used: Fortran IV High speed storage required: see note added in proof Number of bits in a word: 32 Overlay structure: none Number of magnetic tapes required: none Other peripherals used: lin... Title of program: SEPDE Catalogue Id: AANP_v1_0 Nature of problem The major approach to (low energy) scattering of electrons from atomic and, more recently, molecular systems comes from decomposing the scattering wave function into partial waves. Rather than expand the solutions of the partial wave equations to obtain a coupled set of ordinary integro-differential equations, the SEPDE program solves the partial wave equations directly, avoiding the convergence problems encountered with arbitrarily truncating the expansion of each specific partial wave equation ... Versions of this program held in the CPC repository in Mendeley Data AANP_v1_0; SEPDE; 10.1016/0010-4655(82)90048-0 This program has been imported from the CPC Program Library held at Queen's University Belfast (1969-2019)
DOI: 10.17632/ndvhvb4vf3
title: QDENSITY/QCWAVE: A Mathematica quantum computer simulation update

description: This program has been imported from the CPC Program Library held at Queen's University Belfast (1969-2018) Abstract The Mathematica quantum computer simulation packages QDENSITY and QCWAVE are updated for Mathematica 9-10.3. An overview is given of the new QDensity, QCWave, BTSystem and Circuits packages, which includes: (1) improved treatment of tensor products of states and density matrices, (2) major extension to include qutrit (triplet), as well as qubit (binary) and hybrid qubit/qutrit systems in the associated BTSystem package, (3) updated sample quantum computation algorithms, (4) entanglement studi... Title of program: QDensity, QCWave, BTSystem, Circuits Catalogue Id: ADXH_v4_0 Nature of problem Simulation of quantum algorithms, Qubit and Qutrit hybrid systems, entanglement criteria. Versions of this program held in the CPC repository in Mendeley Data ADXH_v1_0; QDENSITY; 10.1016/j.cpc.2005.12.021 ADXH_v2_0; QDENSITY 2.0; 10.1016/j.cpc.2008.10.006 ADXH_v3_0; QCWAVE; 10.1016/j.cpc.2011.04.010 ADXH_v4_0; QDensity, QCWave, BTSystem, Circuits; 10.1016/j.cpc.2015.12.015
DOI: 10.3535/28l-fs7-enl
title: Brachiopoda Duméril, 1805

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.6084/m9.figshare.16608526.v1
title: A tally template to contrast primary and synthesis studies for a specific field of research

description: A template to document the relative frequencies of study from a bibliometrics query process. The objective is to contrast synthesis versus primary studies and assess the extent that a field of experts use different potential synthesis tools.
DOI: 10.6084/m9.figshare.3759189.v1
title: Using VIVO and Other Tools to Achieve a Strategic Vision

description: A globally interconnected research world is the norm. This offers great opportunities for communication and collaboration across fields of research, but it also comes with great challenges, in particular for systems interoperability. Many technology products, systems and tools have been created to help universities and other research organizations meet these challenges while achieving their strategic goals. This is creating a new challenge: a confusing stack of technology for users to assemble into a functional research ecosystem.<br>This panel will explore how one university, Texas A&M, selected and implemented a technology stack and is using it to achieve their strategic plan, “Vision 2020: Creating a Culture of Excellence.” Their stack includes:• VIVO• ORCID• Repositories, Vireo & DSpace • PlumX <br>The panel will discuss the components and the interactions between them, to provide the audience concrete examples of a working, interconnected research ecosystem. <br>Texas A&M will describe its process for defining its technology needs, who was engaged, and the questions that drove decisionmaking. They will describe their current technology stack, and the connections between the components. One cross-platform connector used by Texas A&M is the ORCID ID, which is allowing them to integrate information about researcher works and affiliations across various systems and present this information in their VIVO instance. <br>ORCID will describe how ORCID identifiers are being used at universities to assert researcher affiliation, and how universities may benefit from integrations by publishers and funders. Consortia approaches to implementation and adoption will be discussed, as well as the use of ORCID in federated identity management systems such as eduGAIN, and how ORCID interacts with identifiers for works and organizations. <br>Green open-access institutional repositories are a key component of a research ecosystem. It is the container for the research output conducted at the university. Recent studies have shown that opening up access to research creates more usage and citations for that research. Texas A&M implemented Vireo for theses and dissertations and DSpace for faculty research. <br>How is all of this enabling Texas A&M to measure progress toward its strategic goals? As a component of its tech stack, Texas A&M has integrated PlumX to track research metrics in five categories: usage, captures, mentions, social media and citations. Sometimes this is referred to as altmetrics. This part of the panel will include a discussion of what Texas A&M has discovered by tracking metrics across disciplines including output for the humanities. It will also showcase some other use cases of metrics in institutional repositories, analytics reports and researcher dashboards.
DOI: 10.17632/t2y7hv5rzt
title: Metal laser-based Powder Bed Fusion process development using Optical Tomography

description: This is data was collected from EOS Optical Tomography to help create new parameter set for Powder Bed Fusion process. The hypothesis was that evaluating average grey values and fluctuations can parameters that produce optimal density and quality be chosen instead of utilizing material / micrograph analysis. Material used was 316L with layer thickness 40um, laser power was varied 195-215-235-255-275W and scan speed 1000-900-830-765mm/s forming four different combinations of VED 54-60-71-76 J/mm3. Data for eleven samples are listed. Also Archimedes principle analysis is included.
DOI: 10.3535/t73-7ha-3gv
title: Brachiopoda Duméril, 1805

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.3535/taj-cwe-lbe
title: Brachiopoda Duméril, 1805

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.3535/6cc-64r-2j1
title: Brachiopoda Duméril, 1805

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.3535/zka-drg-e3r
title: Brachiopoda Duméril, 1805

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.6084/m9.figshare.11574615.v1
title: MOESM2 of Custom selected reference genes outperform pre-defined reference genes in transcriptomic analysis

description: Additional file 2: Table S1. TAIR IDs of custom selected references for each transcriptome permutation. Table S2. DESeq2 results summary of analysis without reference genes or with different reference sets (Custom selected, from T Czechowski, M Stitt, T Altmann, MK Udvardi and W-R Scheible [26], from B Zhuo, S Emerson, JH Chang and Y Di [11] or Commonly used references). Table presents the number of genes found up- and down-regulated in Table S3 to S5. Summary of the results of several analyses for all the genes evaluated in this article: Column A: TAIR ID; Column B: ranking calculated with geNorm with the function “selectHKs” from the R package “NormqPCR”; Column C: average TPM value; Column D: covariance of the TPM values; Column E: the difference of expression of a gene between two samples calculated with NormFinder; Column F: the common standard deviation of the expression of a gene between two samples calculated with NormFinder; Column G: stability measure from NormFinder; Column H: log2-transformed fold change of each gene calculated with DESeq2 without using reference genes; Column I: adjusted p value of the gene deregulation calculated with DESeq2 without using reference genes; Column J: sources that identified the gene as a reference, when more than one source selected the gene as reference they are separated by a “;”. Table S3. Permutation Mlp37347 vs Control; Table S4. Permutation Mlp124499 vs Control; Table S5. Permutation Mlp124499 vs Mlp37347. Table S6. Metadata of samples used; replicate identification, number of sequenced reads, average length of the separation between two paired reads, number of reads after trimming and filtering and number of aligned reads for each of the 4 replicates of the three samples used in this study.
DOI: 10.3535/cz3-drf-lc6
title: Brachiopoda Duméril, 1805

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.3535/vfa-30m-2wb
title: Brachiopoda Duméril, 1805

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.3535/2vq-ts0-7q6
title: Brachiopoda Duméril, 1805

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.3535/b74-jpr-crw
title: Brachiopoda Duméril, 1805

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.3535/2m5-lrg-k0x
title: Brachiopoda Duméril, 1805

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.3535/plw-2qx-fp7
title: Brachiopoda Duméril, 1805

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.6084/m9.figshare.28646687.v2
title: ChinaCP-Wheat10m

description: ChinaCP-Wheat10m: 10-m national-scale wheat Cropping Patterns distribution map in China
DOI: 10.17632/4yrgcf4fmr
title: Data for: Thermal Activation of persulfates for wastewater depollution on pilot scale solar equipment

description: Solar thermal activation of persulfates. Data on the removal of pharmaceuticals residues in wastewater (WW), conducted with persulfates advanced oxidation reactions on a solar thermal pilot equipment. Data on indoor preliminary investigations on small scale laboratory experimentations showing how increasing temperature has a direct positive impact on pollutants degradations rate. Data on indoor preliminary investigations on small scale laboratory experimentations showing how the concentration of the primary oxydant influences pollutants degradations rate. Data on outdoor experimentations on the solar pilot equipment conducted according to a batch running mode at a treatment capacity scale of a cubic meter. Data on a series of treatment cycles under the natural day/night period that demonstrate the reproducibility of the performance.
DOI: 10.17632/z2vxnndp97
title: Case study of Work-As-Large Language FRAM models for safety-oriented analysis

description: The case study is imagined but plausible and concerns a hazardous chemical spill in the chemical laboratory of a hospital. A newly hired chemist at the hospital accidentally knocks over a bottle containing a hazardous chemical, causing it to spill onto the floor. Although the chemist had undergone training on how to handle emergency situations, in this real circumstance, he is unsure about the correct procedure to follow. In an effort to seek immediate guidance, he decides to request assistance from a large language model chatbot. However, the chatbot provides a slightly different procedure than what should have been followed, leading to confusion in incident management.
Following FRAM, models of the Work-as-Prescribed (what a normative prescribes to handle the emergency above) and of the Work-as-Large Language model (what a chatbot suggests to the chemist) are provided. These can be used to analyze the differences in the two perspectives on the same process to the purpose of resilience analysis.
DOI: 10.3535/6ja-2be-nyz
title: Brachiopoda Duméril, 1805

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.3535/syc-9d8-2px
title: Brachiopoda Duméril, 1805

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.3535/jp0-zxt-zqa
title: Brachiopoda Duméril, 1805

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.3535/1x4-kfb-2nt
title: Brachiopoda Duméril, 1805

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.3535/2gp-hhz-z89
title: Brachiopoda Duméril, 1805

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.3535/asq-m4p-46s
title: Brachiopoda Duméril, 1805

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.3535/hpk-hvp-fam
title: Brachiopoda Duméril, 1805

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.17632/nbf88xrb5n
title: TexSense: Comparative ECG Analysis of E-Textile and Sticky Electrodes During Human Motion

description: In this study, we investigated the performance of textile dry electrodes versus traditional sticky (AgCl) electrodes in capturing Electrocardiogram signals during various human motion activities (Fig 1). We aimed to evaluate how well textile dry electrodes, made from silver-based knit conductive fabric, perform in real-life scenarios compared to sticky electrodes. Experiments with 20 healthy adults (10 male, 10 female) involved 14 tasks including reclining exercises, standing, walking, and running.
DOI: 10.3535/40e-3ah-c0v
title: Brachiopoda Duméril, 1805

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.3535/x8m-bez-bxq
title: Brachiopoda Duméril, 1805

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.3535/80f-eg5-124
title: Brachiopoda Duméril, 1805

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.3535/kw3-6yh-08f
title: Brachiopoda Duméril, 1805

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.6084/m9.figshare.24532900.v2
title: supplemental_file.docx

description: this research is about the role of genetic variation on food preference
DOI: 10.3535/27l-khl-bey
title: Brachiopoda Duméril, 1805

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.3535/6t0-xb8-b0x
title: Brachiopoda Duméril, 1805

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.17632/cpf6hvb5zs
title: 111

description: 111
DOI: 10.3535/ced-bvw-8j0
title: Brachiopoda Duméril, 1805

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.3535/l7b-nmj-40h
title: Brachiopoda Duméril, 1805

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.3535/9e2-1qa-y6w
title: Brachiopoda Duméril, 1805

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.3535/r13-mb2-27r
title: Brachiopoda Duméril, 1805

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.3535/l69-yf4-11a
title: Brachiopoda Duméril, 1805

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.3535/7a4-p4b-3yn
title: Brachiopoda Duméril, 1805

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.3535/rjn-n5l-k1d
title: Brachiopoda Duméril, 1805

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.3535/t6z-vh7-mtt
title: Brachiopoda Duméril, 1805

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.6084/m9.figshare.21817617.v1
title: Heterozygosity data used to generate plot 2e

description: Heterozygosity data for MDS outlier regions used to generate plot in figure 2e
DOI: 10.17632/hh843fhyp7
title: papaya curry

description: Papaya Curry Classification Dataset Description

1. Overview

The dataset consists of over 500 images of papaya curry (Carica papaya), classified into two categories: good and bad. The primary goal is to develop an automated classification model that distinguishes between high-quality and defective papaya curry based on visual characteristics.

2. Data Collection

Camera Used: Redmi 9 Power

Lighting Conditions: Natural daylight

Background: White

Total Samples: 500+

Classification Categories:

Good Papaya Curry: Fresh, well-cooked, properly textured, and visually appealing curry with appropriate color and consistency.

Bad Papaya Curry: Overcooked, undercooked, spoiled, discolored, watery, or containing unwanted particles.



3. Image Properties

Resolution: Varies based on the Redmi 9 Power’s camera settings (typically 48 MP for high-quality images).

File Format: Likely JPEG or PNG

Angle & Focus: Close-up shots focusing on texture, color, and consistency.


4. Features for Classification

Color Variations: Fresh papaya curry appears vibrant orange-yellow, whereas bad samples may show dark spots, excessive oil separation, or an unnatural hue.

Texture & Consistency: Good curry has a smooth, uniform consistency, while bad curry may appear lumpy, watery, or excessively dry.

Presence of Spoilage: Indicators like mold, excessive oil separation, or unnatural glossiness may signify a bad sample.

Foreign Particles: Contamination by burnt elements or external particles can impact classification.


5. Potential Applications

Quality control in food processing.

AI-based food safety assessment.

Automated inspection systems for restaurants and food suppliers.


This dataset provides a structured approach for training machine learning models to distinguish between good and bad papaya curry, ensuring improved food quality assessment.
DOI: 10.3535/3gp-cjk-fyy
title: Brachiopoda Duméril, 1805

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.3535/t6r-5ah-38w
title: Brachiopoda Duméril, 1805

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.17632/n8bpprwkj5
title: Supplementary data for"Heavy metal contamination and source analysis of typical lagoon sediment influenced by human activity: A case study of Rongcheng Swan Lake, Shandong Province, China"

description: Physicochemical, particle size and elemental data of seawater from Swan, Rongcheng City, Shandong Province, China, September 2020
DOI: 10.3535/ylr-hgs-da8
title: Brachiopoda Duméril, 1805

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.3535/zk1-ggm-hkv
title: Brachiopoda Duméril, 1805

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.17632/pnn4byb564
title: R script for “Individual-Specific Point and Interval Conditional Estimates of Latent Class Logit Parameters”

description: These files allow to replicate: “Individual-Specific Point and Interval Conditional Estimates of Latent Class Logit Parameters” The Monte Carlo experiment and the analysis were carried out in R. The Main R files are the following: - MonteCarloLC.R : This file runs the Monte Carlo experiment with 2 classes and generates “LC_experimentAll.RData”. - MonteCarloLC3C.R. : This file runs the Monte Carlo experiment with 3 classes and generates “LC_experimentAllMiss.RData”. - Daziano&Sarrias_2017_JOCM.R: This file performs the analysis of the results. The ‘helper’ functions are the following: - boot.lc.R: This is a function that performs the K&R procedure and called into the Monte Carlo procedure. - helpers.R: A serie of functions to create the tables with the summary statistics. For any comment please send an email to msarrias86@gmail.com
DOI: 10.3535/hyp-x9z-sq6
title: Brachiopoda Duméril, 1805

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.3535/19v-wjx-p9r
title: Brachiopoda Duméril, 1805

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.3535/554-cwr-t9g
title: Brachiopoda Duméril, 1805

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.3535/9pd-9y2-8ln
title: Brachiopoda Duméril, 1805

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.3535/adm-l59-56q
title: Brachiopoda Duméril, 1805

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.6084/m9.figshare.25330003.v1
title: data.sav

description: How Do Chinese College Students Manage Self-Image Concerns:Mediating Role of General Self-efficacyand Life Satisfaction
DOI: 10.3535/nk1-nqg-5gk
title: Brachiopoda Duméril, 1805

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.3535/p4a-avk-w7g
title: Brachiopoda Duméril, 1805

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.3535/2ab-st5-7vq
title: Brachiopoda Duméril, 1805

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.3535/hm5-k9b-fhe
title: Brachiopoda Duméril, 1805

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