cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.25919/n00e-7z04
title: CS-Wild-Places Dataset

description: CS-Wild-Places is a large-scale lidar dataset for cross-source place recognition between ground and aerial viewpoints in forest environments. The data was collected from four forests in Brisbane, Australia over ten months, with lidar scans captured by a handheld sensor payload (below canopy) and aerial drone (above canopy). CS-Wild-Places builds upon the Wild-Places dataset by introducing geo-registered aerial submaps covering Karawatha and Venman forests, enabling research into place recognition between challenging viewpoints. We further release ground and aerial data captured in two new forest environments: QCAT and Samford Ecological Research Facility. The aerial data spans 370 hectares in total, and we captured two ground sequences with 3.5km of total traversal, producing a total of ~36k high resolution lidar submaps with accurate 6-DoF poses and timestamps. We release the data in three main configurations: raw (submaps randomly downsampled to 500k points max), and post-processed (submaps voxel-downsampled with 0.8m voxels, ground points removed, with and without normalisation).
DOI: 10.3535/3g5-g8d-wc9
title: rocks

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.6084/m9.figshare.5280229.v2
title: SQLite database of variants in Collaborative Cross founder mouse strains

description: A SQLite database with two tables: "description" and "variants". The description table includes URLs for the source files. The "variants" table contains the data, including the fields snp_id, chr (1-19, X, Y, MT), pos (in basepairs, GRCm38/mm10 build), alleles (major and minor alleles), sdp (strain distribution pattern, used by R/qtl2) ensembl_gene, consequence, the 8 founders' genotypes (as numeric codes with 1 = major allele), and type (snp/indel/SV).
DOI: 10.3535/5fq-bvk-zge
title: rocks

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.3535/ers-p4g-0jc
title: †Asaphidae

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.3535/kl9-j17-6es
title: sedimentary rocks

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.17632/mfdz7wg7dm
title: Program code for the calculation of the cantilever sensitivities and correspondent phase shift of the piezoresponse force microscopy signal

description: The developed theoretical model for the cantilever sensitivity is constructed in Wolfram Mathematica interactive code allowing to estimate bending, buckling and twisting sensitivities of the cantilevers with given parameters, and calculate the critical point of the laser spot position on the cantilever eliminating the buckling motion. The other supplemented program code can be used to evaluate the PFM phase shift from the reported vectorial model.
DOI: 10.3535/7bq-32n-knh
title: Dolomitic marl

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.3535/e3c-wea-b82
title: Favosites sp.

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.17632/2twg33k4vm
title: LINF_210027000

description: 60S ribosomal protein L32; Leishmania infantum
DOI: 10.17632/pkdb8sxxck
title: Amplitudes for scattering of electrons by atomic systems including relativistic effects

description: Title of program: SCATTAMPREL Catalogue Id: ACFE_v1_0 Nature of problem SCATTAMPREL calculates scattering amplitudes for the electron atom scattering process. The scattering amplitudes provide all possible information about the scattering process. Versions of this program held in the CPC repository in Mendeley Data ACFE_v1_0; SCATTAMPREL; 10.1016/0010-4655(83)90078-4 This program has been imported from the CPC Program Library held at Queen's University Belfast (1969-2019)
DOI: 10.3535/3l1-caj-yjh
title: sedimentary rocks

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.3535/a06-zvd-wvk
title: rocks

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.3535/bz3-esw-b9y
title: rocks

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.3535/y3m-fnp-105
title: †Asaphidae

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.15468/dl.cyr35m
title: Occurrence Download

description: A dataset containing 43294 species occurrences available in GBIF matching the query:
{
 "and" : [
 {
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 }
 ]
 },
 "Geometry POLYGON ((125.7886 -32.48645, 126.9027 -32.48645, 126.9027 -31.55396, 125.7886 -31.55396, 125.7886 -32.48645))",
 "Year is less than 2026"
 ]
}

 The dataset includes 43294 records from 68 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0009397-250325103851331/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.3535/3y5-tyc-89s
title: †Asaphidae

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.3535/t3z-c97-zbn
title: †Pseudasaphus globifrons (Eischwald, 1857)

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.3535/qgf-kzt-c4g
title: †Asaphida

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.3535/tpn-v9p-03j
title: †Asaphidae

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.3535/49h-yeq-25s
title: Sandstone

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.3535/8kv-j29-0tk
title: †Paraceraurus aculeatus (Eichwald, 1860)

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.3535/01y-na3-htt
title: Katoporus timanicus (Karatajute-Talimaa, 1967)

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.3535/7bh-ama-tyt
title: Actinolepis magna Mark-Kurik, 1973

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.6084/m9.figshare.13103012.v1
title: iOS and Android app analysis data

description: CSV file with code smell occurrences per application. One file for iOS and one for Android. Analysis of open source applications.
DOI: 10.6084/m9.figshare.19495064.v1
title: OQMD-pure, ICSD-pure, MP-pure

description: the datasets with charge neutral and balanced electronegativity samples for training BLMM generator
DOI: 10.15468/dl.y8zuyz
title: Occurrence Download

description: A dataset containing 3 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is China",
 "TaxonKey is Megaskepasma erythrochlamys Lindau"
 ]
}

 The dataset includes 3 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0009399-250325103851331/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17632/c5h637297d
title: Kranc: a Mathematica package to generate numerical codes for tensorial evolution equations

description: Abstract We present a suite of Mathematica-based computer-algebra packages, termed "Kranc", which comprise a toolbox to convert certain (tensorial) systems of partial differential evolution equations to parallelized C or Fortran code for solving initial boundary value problems. Kranc can be used as a "rapid prototyping" system for physicists or mathematicians handling very complicated systems of partial differential equations, but through integration into the Cactus computational toolkit we can also p... Title of program: Kranc Catalogue Id: ADXS_v1_0 Nature of problem Solution of partial differential equations in three space dimensions, which are formulated as an initial value problem. In particular, the program is geared towards handling very complex tensorial equations as they appear e.g. in numerical relativity. The worked out examples comprise the Klein-Gordon equations, the Maxwell equations, and the ADM formulation of the Einstein equations. Versions of this program held in the CPC repository in Mendeley Data ADXS_v1_0; Kranc; 10.1016/j.cpc.2006.02.002 This program has been imported from the CPC Program Library held at Queen's University Belfast (1969-2019)
DOI: 10.3535/amp-rbs-ef4
title: Thelodus laevis (Pander, 1856)

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.3535/tbe-yz9-w1x
title: Aethilla Hewitson, 1868

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.17632/6sbch8644g
title: Archivos de diagramas y codificación de tesis mujeres victimas.  

description: En Excel se muestra el proceso de codificación, numero de códigos con sus nomencladores, y la reagrupación de código similares para la formación de categorías
DOI: 10.3535/f9p-9jr-e95
title: Sandstone

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.3535/xpg-zb2-0wd
title: Sandstone

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.3535/glw-tal-hs1
title: Animalia

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.3535/wfg-rz1-pas
title: sedimentary rocks

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.17632/vxd746smcp
title: Data - Phase transitions and thermal equation of state of Fe9Si

description: Supplementary Materials for the manuscript by Berrada et al. "Phase transitions and thermal equation of state of Fe-9wt.%Si applied to the Moon and Mercury". The python code for Figure 7 is available upon request.
DOI: 10.3535/f4e-6qn-jqq
title: Animalia

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.3535/fdz-ar5-934
title: Bryozoa

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.6084/m9.figshare.18264890.v5
title: Proteomic deconvolution reveals distinct immune cells in different body sites in SARS-Cov-2 positive individuals

description: <strong>Background: </strong>Severe acute respiratory syndrome <em>coronavirus 2</em><em><strong> (</strong></em>SARS-CoV-2) continues to be a significant public-health challenge globally. SARS-CoV-2 is a novel virus, and the precise nature of what constitutes the immunological responses in different human-body sites in infected individuals is still unclear. Proteomic datasets were used to characterize the various immune-cell fractions in gargle solution, bronchoalveolar lavage fluid, nasopharyngeal, and urine samples post-SARS-CoV-2 infection in humans. <strong>Materials and methods: </strong>The raw proteomic data used in this study were downloaded from (https://www.ebi.ac.uk/pride/ ) with the following identifiers: PXD019423, n=3 (gargle solution); PXD018970, n=15 (urine); PXD022085, n=5 (bronchoalveolar lavage fluid); and PXD022889, n=18 (nasopharyngeal). MaxQuant was used for the human peptide spectral matching, and SARS-CoV-2 proteome database was downloaded from the UniProt (Access date 9th January 2022). To ensure accuracy in our analysis, we processed these proteomic data in a single MaxQuant run to ensure sample cross normalization. The protein count matrix was extracted from the proteins group file and used as an input for the Cibersort for the immune cell fraction determination. <strong>Results: </strong>The body of individuals infected with the SARS-CoV-2 virus is characterized by different fractions of immune cells in bronchoalveolar lavage fluid (BALF), nasopharyngeal, urine, and gargle solution. BALF has more abundant memory B cells, CD8, activated mast cells, and resting macrophages than urine, nasopharyngeal, and gargle solution. Our analysis also demonstrates that each body site comprises different immune-cell fractions post-SARS-CoV-2 infection in humans. <strong>Conclusion: </strong>Different body sites are characterized by different immune cell fractions in SARS-CoV-2-infected individuals. The findings in this study could inform public health policies and health professionals on treatment strategies and drive SARS-CoV-2 diagnosis procedures. <strong>Keywords: Proteomic, SARS-CoV-2, Deconvolution, Immune-cell fraction</strong>
DOI: 10.17632/bzpfvv9pb5
title: ER-aminopeptidase 1 determines the processing and presentation of an immunotherapy-relevant melanoma epitope

description: Summary of the MS files used for the paper “ER-aminopeptidase 1 determines the processing and presentation of an immunotherapy-relevant melanoma epitope” by Textoris-Taube et al. The name of each folder depicts the figure in which the MS files have been used. The RAW files of the biological and technical replicates are stored in the cognate folder. For further information about the files, the experimental conditions and the MS measurements please read the manuscript or contact Prof. Ulrike Seifert (ulrike.seifert@uni-greifswald.de). The summary of the figure content and related to the available MS files: is reported in the file: Mendeley_file_summary_EJI_2019_Textoris-Taube_et_al.rtf
DOI: 10.3535/lgk-qrw-w8g
title: Panderia

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.3535/tw6-k85-fly
title: rocks

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.17632/h6mn2jp3d9
title: Data for 'Translocated wild birds are predisposed to learn songs of their ancestral population'

description: Data and code to reproduce results and figures from 'Translocated wild birds are predisposed to learn songs of their ancestral population'. 

Abstract: Population differences in socially learned mating signals like oscine birdsong are particularly vulnerable to breakdown through dispersal. Despite this challenge, geographic variation in learned signals is ubiquitous. A proposed explanation for this pattern is that birds express predispositions to selectively learn and produce population typical songs. While experimental studies on lab-reared birds have shown the existence of within-species learning predispositions, it remains unclear whether and how learning predispositions influence song acquisition in the wild. Here, we investigated innate song learning predispositions in wild pied flycatchers (Ficedula hypoleuca) by measuring the songs of individuals translocated as eggs from a Dutch population to a breeding population in Sweden. We compared the songs of the adult males hatched from these translocated eggs with those from the ancestral and receiving populations. Songs of translocated males closely resemble the local Swedish songs to which they were exposed during development, supporting the importance of social learning. However, translocated males selectively learned those local Swedish song elements that sound the most ‘Dutch-like’. As a result, their songs are significantly shifted towards those of the ancestral Dutch population. This suggests that innate learning predispositions track ongoing song evolution in wild populations of pied flycatchers. We propose that as songs continue to diverge over time, this coevolutionary relationship between song and learning predispositions may contribute to the emergence of incipient pre-mating barriers.
DOI: 10.17632/sxxfkg8yr8
title: medium house energy consumption (houry,2024,iran,meshgin-shahr)

description: **Medium House Energy Consumption Database (Hourly, 2024, Meshgin-Shahr, Iran)** 

The **Medium House Energy Consumption Database (2024)** provides detailed hourly energy usage data for a typical medium-sized residential building in Meshgin-Shahr, Iran. This dataset was generated using **DesignBuilder**, a leading building performance simulation software, ensuring high accuracy in energy modeling. 

### Key Features: 
- **Source:** Simulated using **DesignBuilder**, incorporating real-world climate and building parameters. 
- **Resolution:** Hourly energy consumption data for the entire year 2024. 
- **Scope:** Covers total energy usage, including heating, cooling, lighting, and appliances. 
- **Geographical Relevance:** Focused on Meshgin-Shahr, considering local weather conditions and building characteristics. 
- **Applications:** Useful for energy efficiency studies, building performance analysis, and renewable energy integration planning. 

This dataset serves as a valuable resource for energy engineers, researchers, and policymakers aiming to optimize residential energy consumption and sustainability strategies in the region.
DOI: 10.3535/asx-7ql-959
title: Animalia

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.3535/s98-lp2-g3q
title: Ctenurellina McKamey, 2003

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.3535/nhq-l3d-aw9
title: †Trilobita

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.3535/wez-c72-8cd
title: †Trilobita

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.17632/sjg3n9vr8p
title: Fortnet, a software package for training Behler-Parrinello neural networks

description: A new, open source, parallel, stand-alone software package (Fortnet) has been developed, which implements Behler-Parrinello neural networks. It covers the entire workflow from feature generation to the evaluation of generated potentials, coupled with higher-level analysis such as the analytic calculation of atomic forces. The functionality of the software package is demonstrated by driving the training for the fitted correction functions of the density functional tight binding (DFTB) method, which are commonly used to compensate the inaccuracies resulting from the DFTB approximations to the Kohn-Sham Hamiltonian. The usual two-body form of those correction functions limits the transferability of the parametrizations between very different structural environments. The recently introduced DFTB+ANN approach strives to lift these limitations by combining DFTB with a near-sighted artificial neural network (ANN). After investigating various approaches, we have found the combination of DFTB with an ANN acting on-top of some baseline correction functions (delta learning) the most accurate one. It allowed to introduce many-body corrections on top of two-body parametrizations, while excellent transferability to chemical environments with deviating energetics could be demonstrated.
DOI: 10.3535/atf-nqq-tbw
title: sedimentary rocks

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.3535/fyk-lea-azy
title: Panderia

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.3535/a0s-8qh-2nr
title: Bassia All.

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.3535/qxa-9dq-xrh
title: Sandstone

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.6084/m9.figshare.6653384.v1
title: α-helices in (α+β)+(α/β) proteins

description: Dataset containing physical-chemical and strucutural descriptors for α-helices and its flanking regions.<br><br>Only α-helices from <b>(α+β)+(α/β) proteins</b> are eligible for this dataset.<br>Data is organized into sections. Each section begins with the following header: l<b>ength, pdb_name, chain_id, flag, position, [parameter]</b>.<br><b>length </b>is the number of amino acid residues comprising the α-helix.<br><b>flag </b>indicates the amino acid residue underlying region, namely: flanking region before the α-helix().<br><b>[parameter]</b>: paramater's value for the given amino acid residue. All parameters are extracted from the STING Database.
DOI: 10.3535/cds-63w-gk4
title: †Asaphida

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.3535/j6n-byg-ktk
title: sedimentary rocks

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.17632/ppydgz3n8d
title: Effect of structured exercise program on individual and work-related factors among computer users: A Randomized controlled trial

description: This study is an interventional study. The purpose of the study was to find the effect of structured exercise program on physical fitness, physical activity, pain and disability and ergonomics on computer users. Sample was collected using convenience sampling. The participants was screened, then through computer generated numbers, the participants were allocated to two groups. The study duration was 2 months in which the experimental group received exercise program 3 days per week for 4 weeks by the therapist (researcher) and the second month was follow up in which the participants was told to maintain a diary for the same. The control group received ergonomics advice given by Occupational Safety and Health Administration. The primary outcome measures were Physical fitness (aerobic capacity measured by Ruffier Dickson test, anaerobic capacity measured by 1 minute step test, flexibility measured by sit and reach test, muscular strength measured by hand dynamometer, muscular endurance measured by wall squat test and body composition measured by Bioelectrical impedance analyser) and Ergonomic assessment given by Indian Health Facility Guidelines (desk height and depth, footrest height, shelves height, bench support, monitor position and keyboard shelves). The secondary outcome measures are physical activity (International Physical Activity Questionnaire), Pain disability index questionnaire, Nordic musculoskeletal questionnaire and Ergonomic checklist. The assessment was done before intervention, after 4 weeks of intervention and then after 4 weeks (follow-up).
The data set represent the reading of pre-intervention (denoted by 1 following the outcome measure) and post intervention (denoted bt 2 following the outcome measure) and follow up (denoted by 3 following the outcome measure). Group 1 is experiment group and group 2 is control.
DOI: 10.17632/rss68zwhd6
title: DATA-Risk Prediction

description: Gynecologic laparoscopic surgery
DOI: 10.3535/g6b-h3d-p0e
title: Animalia

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.3535/gke-4k8-w8f
title: sedimentary rocks

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.3535/ll4-6gz-gs5
title: †Asaphida

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.3535/tvl-0x5-e0g
title: †Pseudasaphus tecticaudatus (Steinhardt, 1874)

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.17632/ccz2d6ww94
title: Swimming behavior data

description: Swimming behavior data