cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.25549/independent-c69-20386
title: Witness file - Kennedy, Davis, 1987 - 1991 May 8

description: Witness file - Kennedy, Davis, 1987 - 1991 May 8. PART OF A SERIES: The circumstances surrounding the beating of Rodney King led many to believe that the incident was racially motivated and reflected a spirit of bias and discrimination within the LAPD. Irell & Manella analyzed in depth the LAPD's recruitment, hiring, training, and promotion practices to determine if bias and intolerance were in fact pervasive issues within the Department. The series includes materials related to Irell and Manella's work product, including the firm’s correspondence; summaries of personnel files for potential recruits; records of the Leon Panduro case, in which a citizen was shot by a probationary officer; minutes from the LAPD Professional Advisory Committee maintained between 1983 and 1991; witness files, which consist of written testimony and supplemental materials; and notes, outlines, and drafts maintained over the course of Irell and Manella’s investigation.
DOI: 10.15468/dl.xv9u74
title: Occurrence Download

description: A dataset containing 6 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Ditassa duidae Gleason"
 ]
}

 The dataset includes 6 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0181935-230224095556074/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25549/independent-c69-20232
title: Correspondence (3 of 3), 1991 Jan. 31 - May 27

description: Correspondence (3 of 3), 1991 January 31 - May 27. PART OF A SERIES: The circumstances surrounding the beating of Rodney King led many to believe that the incident was racially motivated and reflected a spirit of bias and discrimination within the LAPD. Irell & Manella analyzed in depth the LAPD's recruitment, hiring, training, and promotion practices to determine if bias and intolerance were in fact pervasive issues within the Department. The series includes materials related to Irell and Manella's work product, including the firm’s correspondence; summaries of personnel files for potential recruits; records of the Leon Panduro case, in which a citizen was shot by a probationary officer; minutes from the LAPD Professional Advisory Committee maintained between 1983 and 1991; witness files, which consist of written testimony and supplemental materials; and notes, outlines, and drafts maintained over the course of Irell and Manella’s investigation.
DOI: 10.15468/dl.yswmx0
title: Occurrence Download

description: A dataset containing 7389845 species occurrences available in GBIF matching the query:
{
 "Country" : [
 "is Mexico"
 ]
}

 The dataset includes 7389845 records from 1292 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000998-151016162008034/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17632/cp8dfwff6x
title: Data for: The first Isospora species (Apicomplexa: Eimeriidae) described from the Northern Yellow-shafted Flicker (Colaptes auratus luteus) in Ontario, Canada

description: Morphological and molecular data supporting the naming of a new Isospora species, Isospora picoflavae, from the Northern Yellow-shafted Flicker (Colaptes auratus luteus). Aligned datasets supporting phylogenetic trees based on complete mitochondrial genomes or concatenated nuclear 18S rDNA/partial mitochondrial COI sequences are provided.  Trees (PDF plus Geneious formats), aligned sequences (FASTA and Geneious formats), MrBayes command block (NEXUS) and MrBayes posterior output (Geneious format) for both datasets is provided.
DOI: 10.3535/8gs-b5y-80v
title: Porifera Grant, 1836

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.3535/jl1-z8w-sbt
title: Porifera Grant, 1836

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.6084/m9.figshare.12948575.v1
title: Spatial data: Environmental rasters

description: These environmental rasters contain the information on mean temperature, temperature seasonality, NDVI, variability in NDVI, precipitation at 0.1, 0.5 and 1 degree resolution. <br>CRS is WGS84. <br>These data should be downloaded and placed in the folder: <br>https://github.com/anabenlop/Island_Rule/Spatial
DOI: 10.3535/d0p-kyb-1ym
title: Porifera Grant, 1836

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.3535/ddh-9fd-zjq
title: Porifera Grant, 1836

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.3535/yj9-8g5-pdg
title: Porifera Grant, 1836

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.17632/pc44z8kdvm
title: Combined effects of waves and tides on bottom sediment resuspension in the southern Yellow Sea

description: It includes the data used in this study, including water level, current velocity, significant wave heights, wave periods and suspended sediment concentration.
DOI: 10.25582/data.2024-03.3079620/2541310
title: Data for EMSL Project 51287 from March 2024
DOI: 10.3535/1lz-ylg-b5y
title: Porifera Grant, 1836

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.17632/3dp7jfv2vh
title: SISAP 2023 Indexing challenge –⁠ Learned Metric Index: Raw data, analyses, figures

description: ==== For complete code, description, data, and steps to reproduce, visit: https://github.com/LearnedMetricIndex/LearnedMetricIndex/tree/paper-sisap23-indexing-challenge ==== This repository contains the data for our submission to the SISAP 2023 Indexing challenge. We used a strip-down version of the Learned Metric Index (LMI), which is an index for approximate nearest neighbor search on complex data using machine learning and probability-based navigation. **Getting started** Follow the instructions in README.md –⁠ https://github.com/LearnedMetricIndex/LearnedMetricIndex/tree/paper-sisap23-indexing-challenge **Contents** 1. result/ - contains the raw .h5 files of each experiment (with varying hyperparameters), 2088 experiment in total 2. res.csv - contains the evaluation of every experiment (1 row) in terms of recall and query time 3. 02-Analyze-results.ipynb - Jupyter notebook used to analyze the results and plot the figures 4. cat.pdf, nobjects.pdf - figures used in the paper **Related Publications** &gt; M. Antol, J. Ol'ha, T. Slanináková, V. Dohnal: [Learned Metric Index—Proposition of learned indexing for unstructured data](https://www.sciencedirect.com/science/article/pii/S0306437921000326?casa_token=EvG8iaWkqQUAAAAA:xgfbutrsNGcBXnTN-U4MQ65hgmPE3fAyzwqtijzGC-JRrkO1IYNmcN3A8yMsSOT3CCoHpqVtMA). Information Systems, 2021 - Elsevier (2021) &gt; T. Slanináková, M. Antol, J. Ol'ha, V. Kaňa, V. Dohnal: [Learned Metric Index—Proposition of learned indexing for unstructured data](https://link.springer.com/chapter/10.1007/978-3-030-89657-7_7). SISAP 2021 - Similarity Search and Applications pp 81-94 (2021) &gt; J. Ol'ha, T. Slanináková, M. Gendiar, M. Antol, V. Dohnal: [Learned Indexing in Proteins: Extended Work on Substituting Complex Distance Calculations with Embedding and Clustering Techniques](https://arxiv.org/abs/2208.08910), and [Learned Indexing in Proteins: Substituting Complex Distance Calculations with Embedding and Clustering Techniques](https://link.springer.com/chapter/10.1007/978-3-031-17849-8_22) SISAP 2022 - Similarity Search and Applications pp 274-282 (2022) &gt; T. Slanináková, M. Antol, J. Ol'ha, V. Kaňa, V. Dohnal, S. Ladra, M. A. Martinez-Prieto: [Reproducible experiments with Learned Metric Index Framework](https://www.sciencedirect.com/science/article/pii/S0306437923000911). Information Systems, Volume 118, September 2023, 102255 (2023) **Mendeley dataset**: https://data.mendeley.com/datasets/8wp73zxr47/12 ** Authors** - Terézia Slanináková, Masaryk University - David Procházka, Masaryk University - Jaroslav Oľha, Masaryk University - Matej Antol, Masaryk University - Vlastislav Dohnal, Masaryk University
DOI: 10.17632/xc3r73xkg7
title: Database Review Organic Gaseous Pollutants in Indoor Conservation Spaces

description: Sheet 1 - Database 1: Detection Instruments - Active (A) or Passive (P) samplers and Continuous monitoring (C) devices for detecting concentration of the main organic gaseous pollutants in indoor conservation spaces.

- Rows: Instrumentation employed for detecting each gaseous organic pollutant.

- Column headings: Commercial name; Operation type (i.e., Laboratory-analysed or Direct-read); Working principle (e.g., Liquid Chromatography, Ion Chromatography, Gas Chromatography); Typical exposure time (e.g., minutes, hours, days); Time average (i.e., hourly, weekly, monthly); Number of sites investigated employing this instrumentation; Article references.


Sheet 2 - Database 2: Pollutant Concentrations - Details on case-study sites, building features, sampling conditions, and detected concentrations for each of the main organic gaseous pollutants in indoor conservation spaces.

- Rows: Case studies, categorized by single pollutant.

- Column headings: Site name; Cultural Heritage Material stored at the site; Reference; Site type (i.e., museum/gallery, archive/library, worship place, palace/castle); Historical or Modern Building; Country; European or non-European country; City; Area (e.g., urban, rural); Koppen classification; Sampling position (e.g., exhibition room, storage, enclosure); Heating Ventilation and Air Conditioning system (presence or absence); Temperature and Relative Humidity monitoring (performed or not performed); Reference to suggested limits (presence or absence); Maximum rate of air exchanges within the conservation environment (Air Changes per Hour); Instrument type; Instrument name; Sampling length; Sampling rate (and total volume); Mean indoor concentration (ppb); Minimum indoor concentration (ppb); Maximum indoor concentration (ppb); Mean outdoor concentration (ppb); Minimum outdoor concentration (ppb); Maximum outdoor concentration (ppb); Indoor/Outdoor ratio.


Data extraction:
Concentration data were extracted from scientific literature (references). Concentration values originally provided as “μg m−3” were converted to “ppb” for consistency and comparability, applying standard conversion methods based on molecular weight and standard conditions of temperature and pressure.
DOI: 10.3535/bae-wn6-z3d
title: Porifera Grant, 1836

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.3535/tve-bbw-bn1
title: Porifera Grant, 1836

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.6084/m9.figshare.22133015.v2
title: Kuppe snRNA-seq Human Heart 2022 control

description: Dataset published by Kuppe et al. 2022, which contains data from human cardiac remodelling after myocardial infarction using single-cell gene expression, chromatin accessibility and spatial transcriptomic profiling of multiple physiological zones in myocardium from patients with myocardial infarction and controls. <br> The dataset available under this link contains the single-cell gene expression part from all control patients. <strong>Citation</strong> Kuppe, C., Ramirez Flores, R.O., Li, Z. <em>et al.</em> Spatial multi-omic map of human myocardial infarction. <em>Nature</em> <strong>608</strong>, 766–777 (2022). <strong>Manuscript link</strong> https://www.nature.com/articles/s41586-022-05060-x <strong>Original data link</strong> https://cellxgene.cziscience.com/collections/8191c283-0816-424b-9b61-c3e1d6258a77
DOI: 10.6084/m9.figshare.7872233.v1
title: gVCF_HG00142

description: 1000 Genomes gVCF mapped to hs37d5 for HG00142.
DOI: 10.3535/pf5-2pc-rp8
title: Porifera Grant, 1836

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.3535/zwq-wmg-0gl
title: Porifera Grant, 1836

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.25582/data.2024-03.3079621/2541311
title: Data for EMSL Project 51287 from March 2024
DOI: 10.3535/xw9-z62-63j
title: Porifera Grant, 1836

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.3535/z44-fh0-8a9
title: Porifera Grant, 1836

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.15468/dl.7x75qj
title: Occurrence Download

description: A dataset containing 20 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Human Observation",
 "Country is China",
 "OccurrenceStatus is Present",
 "TaxonKey is Panthera uncia (Schreber, 1775)",
 "Year 2000-2024"
 ]
}

 The dataset includes 20 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0009509-250325103851331/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17632/4m3jxwp74c
title: Data for: Accumulative plastic strain behaviors and microscopic structural characters of artificially freeze-thaw soft clay under dynamic cyclic loading

description: These data are the data used in the paper to describe the relationship between the accumulative plastic strain versus number of cyclic loading; the fitting results; and also the microscopic structural characters of specimens.
DOI: 10.17632/tprnvr5w25
title: GCA2019_data_and_code

description: We provide the original data and visualization scripts associated with "Importance of the size and distribution of chemical heterogeneities in the mantle source to the variations of isotope ratios and trace element abundances in mid-ocean ridge basalts" GCA2019
DOI: 10.3535/sr4-k81-9m8
title: Porifera Grant, 1836

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.3535/x7l-24x-rqr
title: Porifera Grant, 1836

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.6084/m9.figshare.1352020.v4
title: EPSRC data expectations - What do researchers need to know

description: Presentation to Lancaster University academics on 24 March 2015
DOI: 10.3535/3s0-ght-9jz
title: Porifera Grant, 1836

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.3535/ydh-k8q-f2a
title: Porifera Grant, 1836

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.3535/1xy-ple-v1s
title: Porifera Grant, 1836

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.3535/v1a-ve2-dq4
title: Porifera Grant, 1836

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.6084/m9.figshare.20970649.v1
title: biomass data_csv

description: This dataset contains species density and total biomass in grams in the year 2021 of each species within a quadrat sown in two densities.
DOI: 10.3535/4xg-b2r-q6s
title: Porifera Grant, 1836

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.3535/68l-r1p-kqa
title: Porifera Grant, 1836

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.17632/yxkmp7zy7d
title: LINF_330034700

description: isocitrate dehydrogenase | IDH-50
Leishmania infantum (strain JPCM5)
DOI: 10.3535/lzc-e4x-0e1
title: Porifera Grant, 1836

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.17632/cw2ds8kgz6
title: Emission data from combustion of rice husk briquettes

description: This data is for measurement of NOx, SOx, CO2 and CxHy from combustion of carbonized rice husk briquettes in a fixed bed. The measurement were done for various air mass fluxes and biochar ratios.
DOI: 10.17632/h96dcs23rr
title: Very low protein diets lead to reduced food intake and weight loss, linked to inhibition of hypothalamic mTOR signaling, in mice. 

description: To investigate graded levels of low protien dites effects on serum metabolite expression pattern, LC-MS was performed on serum of mice treated with different levels of low protein and normal protein under both 60% fat and 20% fat conditions. There were 8 diets in total, the fat content of first 4 diets were fixed at 60% fat level by energy and protein was varied from 1% to 20% (1%, 2.5%, 5% and 20% respectively) by energy (D14121903, D14121904, D14071601,D14071604), another 4 kinds of diets contained the same graded levels of protein content as the first 4 diets but fat contents were fixed at 20% by energy (D14121905, D14121906, D14071607, D14071610). Serum metabolites were extracted by mixing Chloroform : Methanol : Serum in 1:3:1 ratio and centrifuged at 1,3000 rpm for 3 minutes, supernatant was collected and did LC-MS using an OrbitrapTM ExactiveTM mass spectrometer at the Glasgow Polyomics facility. Each metabolite was expressed by raw peak intensity at last, and then these peaks were analyzed step by step using R packages called xcms (Smith et al., 2006), mscombine, missforest (Stekhoven and Buhlmann, 2012), and xmsannotator (Uppal et al., 2017) to match specific mass to charge ratio (m/z ratio) and retention times with HMDB and KEGG databases metabolites. Normalization was performed for raw peak intensities for each sample by using the Metabolomics package (De Livera et al., 2012; De Livera et al., 2013; Sysi-Aho et al., 2007), then log2-transformed. Then Generalized Linear Modelling (GLM) function in R-3.5.3 was used according to following design model: ~P+F+P:F, which means regression against protein (P) and fat contents (F) of diets plus their interaction (P:F). If the interaction effect was not significant (p > 0.05), the interaction was not included in the analysis and a revised model (~P+F) was utilized. Pearson correlation analysis was performed for normalized log2-transformed intensities of all metabolites by using Pearson correlation method in R-3.5.3. Then selected the significantly correlated genes with dietary protein content respectively in the GLM (GLM: p < 0.05) and Pearson correlation (Pearson: p < 0.05 for 60% fat and 20% fat conditions) analysis were loaded into the Ingenuity pathway (IPA) program (Ingenuity Systems; http://www.ingenuity.com/) to observe the significantly affected pathways. Normalized log2-transformed intensities were used to express the specific metabolite expression levels. The table contains significantly changed metabolites in GLM  and Pearson correaltion analysis respectively under 60% fat and 20% fat conditions.
DOI: 10.17632/n4gzfjddz2
title: Exploring the Potential Energy Resilience Benefits of Coastal Ecosystems and Protected Areas in Puerto Rico – Dataset

description: As sea levels rise and extreme events increase in intensity and frequency, coastal hazards threaten people and energy infrastructure in Small Island Developing States. Coastal communities could benefit from conserving and restoring nearby ecosystems that mitigate hazard impacts such as coral reefs, mangrove forests, and seagrass beds. However, the intersection between nature-based coastal risk reduction, protected areas, and energy resilience is currently not well-understood. This study aims to fill these gaps by exploring where protected and unprotected ecosystems reduce the risk of coastal hazards for people and energy infrastructure under future sea-level rise. Focusing on Puerto Rico, where Hurricane Maria destroyed the electrical grid in 2017, we used a spatial model to estimate an exposure index based on biophysical and climate data. Our model shows that the number of people at highest hazard risk would nearly triple if coastal ecosystems were lost, and the number of electrical substations at highest risk would nearly quadruple. In total, ecosystems may reduce hazard exposure for over one third of the coastline under sea-level rise, and a majority of that mitigation is sustained by protected areas. By exploring where energy infrastructure within municipalities benefits from nature-based coastal risk reduction, our results suggest sites for new protected areas that could enhance energy resilience. Leveraging protected areas for disaster risk reduction and energy resilience reveals opportunities to engage new actors and institutions in broader conservation and climate adaptation initiatives.
DOI: 10.17632/xdshz49tnf
title: LA LABOR EDUCATIVA DEL DOCENTE UNIVERSITARIO DESDE UN ENFOQUE INTEGRAL EN SU MODO DE ACTUACIÓN

description: Es una aspiración, en la universidad cubana actual, el logro de un enfoque integral para la labor educativa que distingue, en su esencia, el desarrollo como sistema de todas las influencias educativas que tienen lugar en la comunidad universitaria y se oriente a reforzar el compromiso de los estudiantes con el proyecto social que se desarrolla en el país. A tono con lo antes expuesto, el artículo persigue como objetivo socializar las experiencias obtenidas con la puesta en práctica de procedimientos a cumplir en las acciones generalizadoras, que caracterizan el modo de actuación de los docentes de la carrera Pedagogía-Psicología de la Universidad de Sancti Spíritus “José Martí Pérez” en la labor educativa desde un enfoque integral. Para ello se utiliza la metodología del enfoque dialéctico-materialista como método general. Se aplicaron métodos propios de la investigación pedagógica entre los que se distinguen: el analítico-sintético, el inductivo-deductivo, el tránsito de lo abstracto a lo concreto y la sistematización, ellos facilitaron sintetizar los referentes más importantes del tema, su ordenamiento e integración hasta llegar a generalizaciones y a la propuesta de procedimientos en cada acción generalizadora del modo de actuación del docente universitario en la labor educativa.
DOI: 10.3535/hxw-c1b-yvj
title: Porifera Grant, 1836

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.3535/vvc-cnw-hkq
title: Porifera Grant, 1836

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.17632/h5gk5ntwj5
title: VisRes: A GRACE tool for displaying and analysing resonances

description: Abstract VisRes is a graphical tool for displaying and analysing resonance data. Files of eigenphase sums, generated during the computation of electron and photon interactions with atoms and molecules, can be read and the data displayed both as continuous and discontinuous graphs. Resonance resolution can be improved by interactively computing additional data points and merging them with the displayed data. Resonance positions and widths are determined by fitting user selected data points by the Breit... Title of program: VisRes 2.00 Catalogue Id: ADJE_v1_0 Nature of problem Electron and photon collisions with atoms and molecules give rise to quasi-bound states with long lifetimes. These resonances are exhibited in theoretical computations by a rapid increase in the eigenphase sum of approximately pi radians. VisRes is a graphical tool designed to enable the user to read files of eigenphase sums, to detect resonances, and to determine accurately their positions and widths. Versions of this program held in the CPC repository in Mendeley Data ADJE_v1_0; VisRes 2.00; 10.1016/S0010-4655(98)00067-8 This program has been imported from the CPC Program Library held at Queen's University Belfast (1969-2018)
DOI: 10.3535/1gp-cxb-sx3
title: Porifera Grant, 1836

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.3535/9k3-3pz-dnc
title: Porifera Grant, 1836

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