cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.25381/cput.24574666.v1
title: “The integration of people with disabilities into mainstream employment: a model for provincial government departments”

description: <b>2015FBREC274</b>In this study, face-to-face interviews were employed to collect data. The researcher approached the Office of the Premier to describe the study and indicate the main questions to be answered during the interviews. The official suggested that the Deputy Directors and their Assistants were the most appropriate respondents to be approached.<br>At the end of the discussion, a memorandum of understanding (MOU) was signed and entered into with the provincial department. After signing the MOU, the researcher was taken on a tour of the Department and introduced to staff members. The official from the Office of the Premier then sent out an email to all deputy directors and assistant directors, explaining the study and inviting them to participate.<br>
DOI: 10.3535/yf8-jzy-l5r
title: †Phymatopleuridae Batten, 1956

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.6084/m9.figshare.10285085.v1
title: Litter characteristics for lactation treatments

description: This contains all the data to assess how the lactation treatments (treated with GCs or Controls) impacted litter size at the first nest entry ("Nest1") or second nest entry ("Nest 2"), the proportion of the litter surviving from the first to second nest entry, and the litter sex ratio at the first and second nest entry. These analyses are presented in the main text of this manuscript. These data for litter sizes at first nest entry and Julian birth date are also used to generate the standardized litter size and Julian birth date scores for the other data files for lactation treatments.
DOI: 10.6084/m9.figshare.24716490.v1
title: Supplemental Table 1

description: Neurological score throughout disease progression in exercised rNLS8 mice (rNLS8 EX; N = 10), sedentary rNLS8 mice (rNLS8; N = 10) and control mice (CON; N=7).
DOI: 10.6084/m9.figshare.3524033.v1
title: Appendix B. A list of perennial grass species used in the seed addition experiment.

description: A list of perennial grass species used in the seed addition experiment.
DOI: 10.6084/m9.figshare.4003488.v2
title: 10 medical and health research data Things: a self directed learning program

description: Poster presented at eResearch Australasia in Melbourne, October 2016.<br><b>Abstract</b>In 2016 the Australian National Data Service (ANDS) ran the highly valued 23 (research data) Things program. The self-directed program, was designed for anyone who wanted to learn more about research data - what it is, why it is a global hot topic, finding it, re-using it, managing it, and more. ANDS has also been engaging with the medical and health community, through a series of ‘Sharing Health-y Data: Challenges and Solutions’ workshops across Australia, a ‘virtual’ health data community group within the 23 Things program, and their resources relevant to medical and health data collated on the ‘medical and health data’ page of their website. As the active phase of running the 23 (research data) Things program throughout 2016 came to a close, ANDS produced a re-purpose toolkit. The 10 medical and health research data Things a part of this toolkit. It was developed from the 23 (research data) Things materials; adapting the Things that were most relevant to medical and health data, and also substituting medical and health examples in many of the activities. Each Thing has two or three activities. Some of the activities are intended as an introduction to a topic, and some delve a little deeper, to allow for a range of previous experience and knowledge. The program is intended to be reused and adapted as required, and accordingly it has a CC-BY licence. 10 medical and health research data Things is a flexible, adaptable resource for anyone working with medical, clinical or health data.
DOI: 10.6084/m9.figshare.709596.v1
title: Lillis Dust Sequencing Data

description: 16S sequence data and metadata sampled from dust in rooms in the Lillis Hall building at the Unviersity of Oregon. Three sets of files are included in this data archive. dust_mapping.txt - a tab-delimited mapping file for use with QIIME software. Includes information on primer and barcode sequences associated with each sample.<br>*** note that in the raw sequence data, a combinatorial or dual-index barcoding approach was used - the first 6bp of the barcode are on the forward read, and the final 6bp of the barcode are on the reverse read. The barcodes will need to be combined into a single 12bp construct prior to parsing into samples. dust_metadata.txt - a tab-delimited file containing metadata associated with each sample. dust_metadata_description.txt - a tab-delimited file with description of each column in the metadata file. dust.fastq.tgz.part-xx - raw sequence data in FASTQ format, produced by two sequencing runs using Illumina MiSeq 150bp paired-end. Due to file size limitations, the original tar/gzip archive has been split into seven parts. To recombine and uncompress the sequence files, the following command works in a Linux/Unix environment:<br>cat dust.fastq.tgz.part-a*| tar xz
DOI: 10.3535/at1-csp-7z5
title: Brachiopoda Duméril, 1805

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.3535/wvd-bkw-m3m
title: Mollusca

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.6084/m9.figshare.11896944.v1
title: Tables 1-6 csv

description: Curculionid beetles associated with willow (<em>Salix</em> spp.) were surveyed at 42 sites across Europe, from Greece (lat. 38.8 °N) to arctic Norway (lat. 69.7 °N). DNA sequence data provide additional verification of identifications and geographic clustering.
DOI: 10.3535/70r-03f-r89
title: Cyclocrinites C.E.I. von Eichwald, 1840

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.3535/hg2-7ay-9gp
title: †Phymatopleuridae Batten, 1956

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.3535/4jh-gn2-xt2
title: †Murchisonia d'Archiac & Verneuil, 1841

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.3535/ez1-fyv-y59
title: Lingula Bruguière, 1791

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.3535/jxn-enj-wd3
title: Lingula Bruguière, 1791

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.6084/m9.figshare.14959515.v9
title: Niche_change_affects_SDM_transferability

description: Chunlong Liu, Christian Wolter, Franck Courchamp, Núria Roura-Pascual, and Jonathan M. Jeschke (2022) “Biological invasions reveal how niche change affects the transferability of species distribution models.” Ecology.<br><br>The code used for conducting all analyses, and producing the corresponding figures and tables in the main manuscript. All data supporting the results are available in Dataset S1 (Ecology_Liu_Dataset_AllData.xlsx). For more information see readme file (readme_NicheTrans.txt)
DOI: 10.3535/0cp-a7h-8fw
title: †Phymatopleuridae Batten, 1956

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.3535/jft-401-fbl
title: Lingula Bruguière, 1791

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.6084/m9.figshare.20497821.v1
title: LGV pretrained models

description: LGV models used as surrogate in the original paper. Those resnet50 models were collected along the SGD trajectory with a high learning rate. The zip file contains three random seeds in respective subfolders. Each one contains a subfolder with the original pretrained model from which the model collection started. These pretrained models were trained by <sub>Ashukha, A., et al. Pitfalls of In-Domain Uncertainty Estimation and Ensembling in Deep Learning (2020)</sub>. <br>
DOI: 10.6084/m9.figshare.3527762.v1
title: Appendix C. References for the clone library meta-analysis in Fig. 3.

description: References for the clone library meta-analysis in Fig. 3.
DOI: 10.3535/87m-z17-0qf
title: Brachiopoda Duméril, 1805

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.3535/ven-p2g-gly
title: Brachiopoda Duméril, 1805

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.3535/08b-3yp-jyt
title: Lingula Bruguière, 1791

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.3535/88z-m02-h0t
title: Platycladus Spach

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.3535/j5q-n04-s4r
title: Quartz

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.3535/jqe-wn3-fdx
title: Neogastropoda Wenz, 1938

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.6084/m9.figshare.5432899.v1
title: Probing the toxicity of nanoparticles: a unified <i>in silico</i> machine learning model based on perturbation theory

description: Nanoparticles (NPs) are part of our daily life, having a wide range of applications in engineering, physics, chemistry, and biomedicine. However, there are serious concerns regarding the harmful effects that NPs can cause to the different biological systems and their ecosystems. Toxicity testing is an essential step for assessing the potential risks of the NPs, but the experimental assays are often very expensive and usually too slow to flag the number of NPs that may cause adverse effects. <i>In silico</i> models centered on quantitative structure–activity/toxicity relationships (QSAR/QSTR) are alternative tools that have become valuable supports to risk assessment, rationalizing the search for safer NPs. In this work, we develop a unified QSTR-perturbation model based on artificial neural networks, aimed at simultaneously predicting general toxicity profiles of NPs under diverse experimental conditions. The model is derived from 54,371 NP-NP pair cases generated by applying the perturbation theory to a set of 260 unique NPs, and showed an accuracy higher than 97% in both training and validation sets. Physicochemical interpretation of the different descriptors in the model are additionally provided. The QSTR-perturbation model is then employed to predict the toxic effects of several NPs not included in the original dataset. The theoretical results obtained for this independent set are strongly consistent with the experimental evidence found in the literature, suggesting that the present QSTR-perturbation model can be viewed as a promising and reliable computational tool for probing the toxicity of NPs.
DOI: 10.3535/p61-82k-w1r
title: Granite

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.3535/xda-sfq-jfk
title: Schist

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.6084/m9.figshare.14939291.v2
title: Bayesian Dynamic Feature Partitioning in High-Dimensional Regression With Big Data

description: Bayesian computation of high-dimensional linear regression models using Markov chain Monte Carlo (MCMC) or its variants can be extremely slow or completely prohibitive since these methods perform costly computations at each iteration of the sampling chain. Furthermore, this computational cost cannot usually be efficiently divided across a parallel architecture. These problems are aggravated if the data size is large or data arrive sequentially over time (streaming or online settings). This article proposes a novel dynamic feature partitioned regression (DFP) for efficient online inference for high-dimensional linear regressions with large or streaming data. DFP constructs a <i>pseudo posterior density</i> of the parameters at every time point, and quickly updates the pseudo posterior when a new block of data (data shard) arrives. DFP updates the pseudo posterior at every time point suitably and partitions the set of parameters to exploit parallelization for efficient posterior computation. The proposed approach is applied to high-dimensional linear regression models with Gaussian scale mixture priors and spike-and-slab priors on large parameter spaces, along with large data, and is found to yield state-of-the-art inferential performance. The algorithm enjoys theoretical support with pseudoposterior densities over time being arbitrarily close to the full posterior as the data size grows, as shown in the supplementary material. Supplementary material also contains details of the DFP algorithm applied to different priors. Package to implement DFP is available in https://github.com/Rene-Gutierrez/DynParRegReg. The dataset is available in https://github.com/Rene-Gutierrez/DynParRegReg\_Implementation.
DOI: 10.6084/m9.figshare.16697875.v1
title: Dataset for NPU paper

description: <b>The Edge and the Center in Neighborhood Planning Units: Assessing permeability and edge attractiveness’ in Abu Dhabi</b><b> </b><br><b>Abstracts: </b> Sustainable urban form research brought with it a renewed interest in neighborhood planning units (NPUs). While there is some insightful historical and qualitative research on the location of nonresidential uses in NPUs, quantitative analysis of the accessibility of nonresidential uses in NPUs has received minimal attention. This article uses Multiple Centrality Assessment to understand the accessibility of nonresidential land uses in NPUs designs. Using NPUs in Abu Dhabi as a case study, the paper analyzes different patterns of street networks across different scales and proposes new concepts and models for understanding accessibility. A framework for accessible NPUs focuses on three elements: street layout design, permeability, and edge attractiveness. Permeability is defined by high levels of Gravity and/or Betweenness at an NPU’s center at a global scale. On the other hand, the edge attractiveness that provides strong “seams” between NPUs is defined by high values of Gravity and/or Betweenness at an NPU’s edges and perimeter locations at a global scale. Findings suggest that a well-designed NPU must be characterized by both permeability and edge attractiveness. Results also indicate that nonresidential areas should be located according to their functions and level of intensity. Findings stress that at a local scale, NPUs should be designed to have high accessibility and low permeability for daily nonresidential facilities at the center. However, to promote the interconnection between adjacent NPUs, the street networks should have high accessibility and high edge attractiveness for nonresidential facilities located along the edges at a global scale. This research presents a conceptual approach and practical implications for planning NPUs’ nonresidential land uses and it contributes to the debate and practice on accessibility in an NPU. <b><br></b>
DOI: 10.6084/m9.figshare.28253366.v2
title: Data and R code_update.zip

description: Plant invasion has long been recognized as an important driver of species loss in ecological communities. However, projecting the impacts of non-native species on the coexistence potential of multi-species communities after invasion, as well as whether all species within the invaded communities will persist under random environmental perturbations remains a pressing challenge. Here, we conducted a pairwise experiment with five native and five non-native species to estimate the intra- and interspecific interaction coefficients using the Ricker model. We then evaluated how non-native species affect the persistence of invaded communities at both community and species levels through a structural approach. Specifically, we used interaction structures among species within a community to characterize its feasibility domain, which indicates the probability that all species can coexist simultaneously. We assessed this for all possible communities with varying numbers of non-native species, and calculated the exclusion probability for individual species. At the community level, we found that the community persistence generally showed a decreasing trend after non-native species invasion. Additionally, the feasibility domain became more asymmetric as more native species were replaced by non-native ones at most community richness levels, thereby reducing the long-term viability of those communities. At the species level, the non-native species will be excluded first in most communities if a strong perturbation took place. Our findings highlight the important role of clarifying the complex interaction patterns among non-native and native species in shaping community persistence, as well as the impact of non-native species on the potential of community persistence varies depending on the species composition of invaded communities. This provides valuable insights for invasion management, indicating that strategies should consider local environments and species compositions to optimize resource allocation, including human, material and financial resources.
DOI: 10.6084/m9.figshare.28582286.v2
title: <b>Using a Syndemics Perspective to (Re)Conceptualize Vulnerability during the COVID-19 Pandemic: A Scoping Review - </b> Full bibliography

description: This bibliography refers to all publications considered in the scoping review "<b>Using a Syndemics Perspective to (Re)Conceptualize Vulnerability during the COVID-19 Pandemic."</b> Included and excluded publications, as well as theoretical references considered in its conceptualisation are part of this list.
DOI: 10.3535/3t2-f1s-t02
title: Gastropoda Cuvier, 1795

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.3535/9z1-zn9-9dv
title: rocks and sediments

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.6084/m9.figshare.7517729.v1
title: Failure of dental implants in cemento-osseous dysplasia: a critical analysis of a case

description: Introduction: Osseointegrated dental implants have been routinely used in oral rehabilitation. Patients with dysplastic bone diseases represent a particular challenge for oral rehabilitation with dental implants. Nevertheless, the installation of implants in patients with cemento-osseous dysplasia (COD) has been reported with apparent success.Objective: In this paper, we present a case of a patient with COD in which a dental implant had been installed and lost six months later. In this regard, we analyzed pertinent aspects of the indications for dental implants in patients with COD considering the pathogenesis, dysplastic nature, and behavior of the disease.Conclusion:The present case report illustrates that COD can be considered a limiting factor in the recommendation for a dental implant. Because of this, it is imperative to inform the patient about the risks of surgically manipulating the diseased bone.
DOI: 10.3535/sm1-xsf-w8v
title: Minerals

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.6084/m9.figshare.5557933.v1
title: ITS_dataset.nex

description: This is the input NEXUS file for Maximum Likelihood inference of the ITS dataset, including isolates of the new taxon Herpomyces shelfordellae (parasite of Shelfordella lateralis).
DOI: 10.3535/3h2-wrz-6fr
title: metamorphic rocks

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.3535/z9g-476-gvr
title: Granite

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.3535/js5-me0-m52
title: metamorphic rocks

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.3535/yge-509-l66
title: Epidote

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.15468/dl.c45h4u
title: Occurrence Download

description: A dataset containing 1 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is China",
 "TaxonKey is Corymbia ficifolia (F.Muell.) K.D.Hill & L.A.S.Johnson"
 ]
}

 The dataset includes 1 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0009768-250325103851331/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.3535/23a-k5a-677
title: Schist

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.3535/gw8-rjj-z1w
title: sedimentary rocks

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.6084/m9.figshare.1185611.v1
title: Tridacty dinosaur track, Whitby, UK

description: A pretty poorly preserved tridactyl track, probably theropod (but could be ornithopod). Loose boulder on the beach, heavily weathered.<br><em>Notes:</em> Found during field trip for SVPCA 2014 conference.
DOI: 10.6084/m9.figshare.28531082.v1
title: Data

description: Data
DOI: 10.3535/3en-b7v-srk
title: Calcite

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.3535/9s4-b86-1yw
title: igneous rocks

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.6084/m9.figshare.5117152.v2
title: Project PMD Immigrants in Chile

description: Authors: Francisco Pulgar, Daniel Hernández<br><br>This data files are a basic analysis of the data published by the Departamento de Estranjería y Migración de Chile [1]. Also this data is combined with indicators published by the World Bank Develpment Indicators [2].<br><br>[1] http://www.extranjeria.gob.cl/estadisticas-migratorias/<br>[2] https://www.kaggle.com/worldbank/world-development-indicators<br><br>The files in this fileset include:<br><br><b>in.tar.bz2</b>: the input files to analyze<br><br><b>script.py</b>: an Spark Python3 script that analyses the data.<br><br><b>immigrantsByCountry.csv</b>: a CSV table with the number of immigrants and the country code.<br><br><b>indicatorsJoin.txt.gzip</b>: a file created for debugging.<br><br><b>comparisons.csv</b>: a CSV table with the maximum between the numbers in the last two columns, the code of an indicator X, the name of the indicator X, the number of immigrants coming from a country where X is greater than in Chile, and the number of immigrants where X is lesser than in Chile. The sum of the numbers in the last two columns is lesser than the total of immigrants (i.e., 1497519) when there are countries where X is not available. <br><br>To run the script first decompress the input data in a folder and create another folder to save the output data. You have to edit the script to change the locations of these folders.<br><br><b>plot*.png:</b> Plot of indicators normalized by immigrants.<br>
DOI: 10.6084/m9.figshare.c.3612254_d4.v1
title: Additional file 1: Table S1. of Development of Genome-Wide Insertion and Deletion Polymorphism Markers from Next-Generation Sequencing Data in Rice

description: Description of rice genotypes for e-PCR. (XLS 357Â kb)
DOI: 10.3535/h7n-8sz-1ld
title: Gastropoda Cuvier, 1795

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.3535/lxf-jrj-bbk
title: Lingula Bruguière, 1791

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