cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6073/pasta/8f274e48bda633a8446927c01c021eae
title: CBP01 Variable distance line-transect sampling of bird population numbers in different habitats on Konza Prairie

description: Records of bird species based on line transect sampling, giving perpendicular distance of sighting from the transect line on 16 separate transects. Bird surveys were conducted 2-4 times per year in January, April, June, and October for a 29-year period from 1981 to 2009. Transects were designed to determine bird communities and population numbers associated with tallgrass prairie habitats with different experimental treatments (fire frequency, grazed by bison vs. ungrazed), riparian habitats on forest edge, and gallery forests dominated by oak woodland.
DOI: 10.6084/m9.figshare.29141759
title: Table S1

description: Table S1 is an excel spreadsheet (or .csv file) with one tab of data for the 11 sample collection sites and 45 primary craters addressed in this paper. The spreadsheet contains 15 columns and 495 rows of data (excluding headers). For each sample collection site, it includes the landing site location (center latitude and longitude in degrees), the primary crater name, the measured primary crater size (in km), the estimated transient crater size (in km), the primary crater location (center latitude and longitude in degrees), the ejecta fragment launch location in respect to the primary crater center (in km), the calculated geodesic distance between the ejecta fragment launch location and the landing site location (in km), and the estimated ejecta fragment size (in m) delivered to each sample collection site for each primary crater presented in the paper (Figure 5). Additionally, the table includes the calculated pi<sub>2 </sub>and pi<sub>V</sub> values used to evaluate the applicability of the scaling regime of the fragment sizes estimated in this study (Figure S1).
DOI: 10.6084/m9.figshare.29141759.v1
title: Table S1

description: Table S1 is an excel spreadsheet (or .csv file) with one tab of data for the 11 sample collection sites and 45 primary craters addressed in this paper. The spreadsheet contains 15 columns and 495 rows of data (excluding headers). For each sample collection site, it includes the landing site location (center latitude and longitude in degrees), the primary crater name, the measured primary crater size (in km), the estimated transient crater size (in km), the primary crater location (center latitude and longitude in degrees), the ejecta fragment launch location in respect to the primary crater center (in km), the calculated geodesic distance between the ejecta fragment launch location and the landing site location (in km), and the estimated ejecta fragment size (in m) delivered to each sample collection site for each primary crater presented in the paper (Figure 5). Additionally, the table includes the calculated pi<sub>2 </sub>and pi<sub>V</sub> values used to evaluate the applicability of the scaling regime of the fragment sizes estimated in this study (Figure S1).
DOI: 10.15468/dl.4832qk
title: Occurrence Download

description: A dataset containing 167 records in GBIF matching the query:
SELECT
 kingdom,
 kingdomkey,
 phylum,
 phylumkey,
 class,
 classkey,
 "order",
 orderkey,
 family,
 familykey,
 genus,
 genuskey,
 species,
 specieskey,
 "year",
 IF(ISNULL(kingdomkey), NULL, SUM(COUNT(*)) OVER (
 PARTITION BY kingdomkey, "year")) kingdomcount,
 IF(ISNULL(phylumkey), NULL, SUM(COUNT(*)) OVER (
 PARTITION BY phylumkey, "year")) phylumcount,
 IF(ISNULL(classkey), NULL, SUM(COUNT(*)) OVER (
 PARTITION BY classkey, "year")) classcount,
 IF(ISNULL(orderkey), NULL, SUM(COUNT(*)) OVER (
 PARTITION BY orderkey, "year")) ordercount,
 IF(ISNULL(familykey), NULL, SUM(COUNT(*)) OVER (
 PARTITION BY familykey, "year")) familycount,
 IF(ISNULL(genuskey), NULL, SUM(COUNT(*)) OVER (
 PARTITION BY genuskey, "year")) genuscount,
 COUNT(*) occurrences,
 MIN(GBIF_TEMPORALUNCERTAINTY(eventdate, eventtime)) mintemporaluncertainty,
 MIN(COALESCE(coordinateuncertaintyinmeters, 1000)) mincoordinateuncertaintyinmeters
FROM
 occurrence
WHERE
 occurrence.basisofrecord = 'PRESERVED_SPECIMEN'
 AND occurrence.hascoordinate = TRUE
 AND occurrence.hasgeospatialissues = FALSE
 AND (CAST(occurrence.taxonkey AS INTEGER) = 5231677 OR CAST(occurrence.acceptedtaxonkey AS INTEGER) = 5231677 OR CAST(occurrence.kingdomkey AS INTEGER) = 5231677 OR CAST(occurrence.phylumkey AS INTEGER) = 5231677 OR CAST(occurrence.classkey AS INTEGER) = 5231677 OR CAST(occurrence.orderkey AS INTEGER) = 5231677 OR CAST(occurrence.familykey AS INTEGER) = 5231677 OR CAST(occurrence.genuskey AS INTEGER) = 5231677 OR CAST(occurrence.specieskey AS INTEGER) = 5231677)
 AND NOT GBIF_STRINGARRAYCONTAINS(occurrence.issue, 'TAXON_MATCH_FUZZY', TRUE)
 AND (occurrence.distancefromcentroidinmeters &gt;= 2000.0 OR occurrence.distancefromcentroidinmeters IS NULL)
 AND occurrence.occurrencestatus = 'PRESENT'
 AND (occurrence.specieskey IS NOT NULL AND occurrence."year" IS NOT NULL)
GROUP BY
 occurrence.kingdom,
 occurrence.kingdomkey,
 occurrence.phylum,
 occurrence.phylumkey,
 occurrence.class,
 occurrence.classkey,
 occurrence."order",
 occurrence.orderkey,
 occurrence.family,
 occurrence.familykey,
 occurrence.genus,
 occurrence.genuskey,
 occurrence.species,
 occurrence.specieskey,
 occurrence."year"

 The dataset's 167 records were derived from 88 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003459-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.6084/m9.figshare.30414958
title: FM-120 data

description: Two typical field sites were chosen to measure water droplets. One is a coastal site in Zhoushan, Zhejiang (29.97°N, 122.32°E, 94.5m a.s.l.) along the East China Sea. The other regional mountain site is in Shanghuang, Zhejiang (28.58°N, 119.51°E, 1128m a.s.l.) in southeastern China. Besides, cloud chamber experiments were conducted to simulate clouds with configured conditions. The pure ammonium sulphate aerosol particles were used as condensation nuclei and were sprayed into the cloud chamber using an aerosol atomizer on top, with concentration controlled by the spray time. Initial aerosol concentrations of 1000 and 500 cm<sup>-3</sup> were used. The size distributions of droplets were measured using the fog monitor (FM-120, DMT inc.), which determines droplet diameters at 2-50 µm with 30 size bins based on the forward light scattering of particles.
DOI: 10.6084/m9.figshare.30414958.v1
title: FM-120 data

description: Two typical field sites were chosen to measure water droplets. One is a coastal site in Zhoushan, Zhejiang (29.97°N, 122.32°E, 94.5m a.s.l.) along the East China Sea. The other regional mountain site is in Shanghuang, Zhejiang (28.58°N, 119.51°E, 1128m a.s.l.) in southeastern China. Besides, cloud chamber experiments were conducted to simulate clouds with configured conditions. The pure ammonium sulphate aerosol particles were used as condensation nuclei and were sprayed into the cloud chamber using an aerosol atomizer on top, with concentration controlled by the spray time. Initial aerosol concentrations of 1000 and 500 cm<sup>-3</sup> were used. The size distributions of droplets were measured using the fog monitor (FM-120, DMT inc.), which determines droplet diameters at 2-50 µm with 30 size bins based on the forward light scattering of particles.
DOI: 10.34740/kaggle/dsv/13524400
title: Peer-to-Peer Boliviano (BOB) Exchange Data
DOI: 10.15468/dl.ccfhea
title: Occurrence Download

description: A dataset containing 120 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((161.40270 -45.24264,182.59730 -45.24264,182.59730 -36.75736,161.40270 -36.75736,161.40270 -45.24264))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Chalinolobus tuberculatus"
 ]
}

 The dataset includes 120 records from 6 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003467-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.bzenz2
title: Occurrence Download

description: A dataset containing 11255 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((-140.94921 69.83612,-141.0543 60.27281,-140.54987 60.25179,-140.29765 60.35689,-139.98237 60.16772,-139.01553 60.3779,-139.12062 60.02059,-123.94544 59.97856,-124.68108 61.02947,-126.80392 60.67216,-128.35927 62.31158,-133.13042 65.96876,-134.18133 66.9356,-136.15705 66.97764,-136.40927 67.67124,-136.49334 69.37372,-138.91044 69.87816,-140.94921 69.83612))",
 "OccurrenceStatus is Present",
 "TaxonKey is Apidae"
 ]
}

 The dataset includes 11255 records from 23 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003468-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.87jvfh
title: Occurrence Download

description: A dataset containing 196 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is New Zealand",
 "TaxonKey is Rhaphiolepis umbellata",
 "Year 2010-2025"
 ]
}

 The dataset includes 196 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003469-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.9cprwh
title: Occurrence Download

description: A dataset containing 3 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is New Zealand",
 "TaxonKey is Melaleuca quinquenervia",
 "Year 2010-2025"
 ]
}

 The dataset includes 3 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003470-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.4225/87/pjo7gb
title: Longitudinal Surveys of Australian Youth, 2015 cohort (Version 9.0)
title: LSAY 2015 cohort

description: In 2015 a nationally representative sample of about 14,500 15 year-old students was selected to participate in the OECD’s Programme for International Student Assessment (PISA). This group of young people became the sixth cohort of the LSAY program (LSAY Y15). As part of PISA, assessments in mathematical literacy, reading literacy and scientific literacy were administered to schools to provide information on student achievement. Students also completed a background questionnaire about themselves, their families, their views on a range of science-related issues, the environment, educational and vocational expectations, attitudes to school and learning, attitudes towards information and communications technology, and their habits and life in and outside of school. In 2016, members of the Y15 cohort were contacted for the first of their annual LSAY interviews. The questionnaire for their 2016 interviews included questions about their activities during the last 12 months, school, post-school study, engagement in education, career aspirations and decision-making, employment, job satisfaction, job search experiences, income, soft skills, personality, and wellbeing. From 2016, respondents were given the option to complete their interviews by telephone or online. Response rates for the 2016 interviews were lower than expected due to a high rate of missing or unusable contact details provided at the time of PISA. To address this, recruitment of a top-up sample of Year 12 students was conducted in 2017 to ensure that future waves of the survey remain representative of the 15-year-old population in 2015. See Notes (in the Social Science and Humanities section of Metadata) for version details about this dataset.
description: Longitudinal Surveys of Australian Youth
description: SPSS, 28.0
description: Stata, 12.0
description: SAS, 9.4
DOI: 10.15468/dl.848w3k
title: Occurrence Download

description: A dataset containing 483295898 species occurrences available in GBIF matching the query:
(Query is too complex. Can be viewed on the landing page)

 The dataset includes 483295898 records from 16107 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003447-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17632/x4m9cy5xvc
title: Resource-richness and economic growth in contemporary U.S.

description: Files for replication of the paper "Resource-richness and economic growth in contemporary U.S."
DOI: 10.3535/4qs-ag0-vmd
title: Quartz porphyry

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.3535/nqa-s66-d1n
title: Quartz porphyry

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.17632/564j6fm45k
title: Extended dataset produced by the Integer sequence (A363743): a(n) = floor(sqrt(log_10(n!))).

description: This integer sequence was registered and published in the On-Line Encyclopedia of Integer Sequences (OEIS.org) Database on August 17 - 2023, under the OEIS code: A363743.

This sequence can be generally expressed as follows: a(n) = floor(sqrt(log_10(n!))), where n is a non-negative integer. It should be noted that the aforementioned formula is written in accordance with OEIS specific style sheet format. On the other hand, it was possible to represent the general formula on another two forms that the following:

1) a(n) = floor(sqrt(A034886(n) - 1)).

2) a(n) = A000196(A034886(n) -1).

This dataset verifies the reported properties in the comments section of the OEIS publication. Our evaluation ranges from 0 to n = 5000, in contrast to the publication which ranges from 0 to n = 92. These mentioned properties are the following: 

* Every non-negative integer occurs at least 4-times.
* Each integer k &gt; 14 appears fewer than k times.
* The only integers k that occur exactly k times are 11, 13 and 14.
* This sequence can produce random values between 0 and 1 if we do a(n)/a(n+m) for any non-negative integer m. 

The numerical data showed on this dataset was generated by the following Mathematica program:

Array[Floor@ Sqrt[Log10[#!]] &, 5000, 0]

The previous program was builded on Mathematica v13.3.0.

Note: More mathematical details, graphics and technical information can be found in the notebook or .nb file provided in this dataset.
DOI: 10.17632/hmc8dc7chv
title: Original figures of Western blotting

description: Original figures of Western blotting
DOI: 10.17632/rrf9pwswp3
title: Simulated Energy Performance Data of Ultra-High-Performance Fiber-Reinforced-Concrete (UHP-FRC) Façade Panel under Uncertainty

description: The datasets are simulated energy performance data of Ultra-High-Performance Fiber-Reinforced-Concrete (UHP-FRC) and conventional façade panel. The thermal behavior of the UHP-FRC façade panel and conventional façade panel were explored in different building contexts and climate conditions using EnergyPlus.
DOI: 10.3535/108-tef-znm
title: Quartz porphyry

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.3535/as0-qxx-fks
title: Quartz porphyry

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.17632/38hvnjy2yj
title: Variability of linear displacements and velocities of upper body of elite seated shot-putters throwing from different seating configurations

description: Overall (all throws) and inter-participant (average of all throws of each participant) variability of linear displacements and velocities of upper body (e.g., put/hand, elbow, shoulder, trunk) during seated shot-put throwing. Overall and individual linear kinetic variables were provided for elite seated shot-putters throwing from four seating configurations involving sitting direction (e.g., front on, diagonal) and use of a holding pole (e.g., with pole, without pole).
DOI: 10.17632/7m63vyct2v
title: The impact of online consumer reviews and their perceived credibility on consumer behavior

description: This data file contains the responses from the servey research contacted for the purposes of a MSc thesis in Management at the International Hellenic University. The servey research was contacted in November 2019 and the data were collected with the GoogleForms. For more information, please refer to the Master thesis.
DOI: 10.17632/7whwd5z7m2
title: Data for: Vulnerability of a less-developed stock market to openness: one-way return and volatility transmissions

description: This dataset is for a study, within the area of Behavioral Finance, that, using a uniquely modified set of bivariate asymmetric GARCH models, investigates one-way return and volatility transmissions from the international Brent oil market, natural gas markets, carbon markets, and naira-dollar exchange market into the Nigerian stock market.
DOI: 10.17632/j39dx362p3
title: VRRO User Engagement Survey Data

description: A sustainable smart tourism ecosystem relies on building digital networks that link tourists to destinations. This study explores how web and immersive technologies, such as the VRRO platform, can improve tourism by offering interactive experiences to augment traditional travel. An empirical study investigates user engagement and highlights how it promotes social interaction and user participation while adapting to the evolving tourism landscape.

Participants were provided with access to the VRRO platform and asked to interact with it for a comfortable duration. Post-interaction, participants completed the feedback questionnaire consisting of the demographic questions (age, prior engagement with such technologies, interest, platform of use), the short form of the UES, module-specific rating of platform functionalities, self-rating of users’ activity, future engagement prospects, and impressions (open-ended questions).

Rating or self-scoring questions’ answers are in the form of 5-point Likert scales, with values corresponding to the context. For example, ‘How often did you upload virtual tours’ would have the answers ‘Never’, ‘Once’, ‘Twice or thrice’, ‘Multiple times’, or ‘Often’. Their feedback is recorded and analyzed to draw insights.

The User Experience Survey can be accessed here: https://forms.gle/SZHCydVkhqfSk4yw6 
The VRRO platform can be accesed here: https://vrro.azurewebsites.net/ 
Raw, uninterpreted, clean answer data gathered from the VRRO User Experience Survey.
The survey contains: 6 demographic questions, 12 questions offering an overall rating of the platform with the short form of the User Engagement Scale (5-point Likert scale), 6 questions rating user satisfaction using specific modules of the platform (5-point Likert scale); 8 self-rating questions of the activity and interactions within the VRRO platform (equivalents of 5-point Likert scale); 4 questions on the preferred technological access of the platform and of the Virtual Tours module; 6 questions self-rating possible future engagement; and 5 open-ended questions focusing on VRRO's key functionalities and scope.

Description of the data and file structure:
The data is available in .XLSX and .CSV formats.
The first column header represents the timestamp of the submitted answer, and the following columns contain the survey questions and answers.
Each row corresponds to a different user entry.
DOI: 10.3535/bzm-9rc-qn5
title: limestone

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.3535/dn5-yqy-kd7
title: †Bolbina Henningsmoen, 1953

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.6084/m9.figshare.26335552.v1
title: Effects of structure minimization on the docking score docking time and ligand-compound interaction during computational analysis using the chimera software

description: This project analyses the effects of ligand minimization on the docking score and the time used for docking using The chimera software
DOI: 10.17632/b2sjv8b5vn
title: ERP Neural Correlates of the Interpreter Advantage in Coordination (anonymized for review)

description: We hypothesized that there may be an interpreter advantage associated with the bottleneck switching component of the coordination skill, and intended to investigate the advantage and its ERP neural correlates. To achieve this goal, we conducted an ERP experiment with a Psychological Refractory Period dual-task, and analyzed the stimulus-locked and response-locked LRP onset latency, and also the behavioral data. If an advantage in coordination was to be found in the present study, the advantageous group of interpreting students would outperform in dual-task costs (the difference between dual-task and single-task conditions, with smaller costs suggesting better coordination), and the better performance would be restricted to Task 2 (suggesting better bottleneck switching component of coordination). Data obtained from the dual-task experiment included accuracy (ACC), response time (RT), stimulus-locked LRP onset latency, response-locked LRP onset latency for Task 1 and Task 2. The eight types of data were analyzed separately following the same procedure. Specifically, the dual-task costs (in files with “*_for_ANOVA”) were subjected to an ANOVA analysis with a between-group variable of Group (Interpreting, Control), and a within-group variable of Condition (dual-task_100, dual-task_150, with 100, 150 referring to different SOA conditions). The RT results exactly showed an interpreter advantage in coordination, especially in the bottleneck switching component. The same result was also found in stimulus-locked ERP onset latency, suggesting the advantage was probably due to efficient switching from the response selection of one task to that of the other at the bottleneck stage of dual-task processing. Smaller dual-task costs of stimulus-locked LRP onset latency thus constitute the neural correlates of the interpreter advantage in coordination. Three additional analyses were conducted. First, the raw data of each type (in files with “*_for_ANOVA”) were respectively subjected to an ANOVA analysis with a between-group variable of Group (Interpreting, Control), and a within-group variable of Condition (single-task, dual-task_100, dual-task_150, with 100, 150 referring to different SOA conditions). Second, to minimize the influence of response grouping, 10% of the trials with the slowest Task 1 RT for each participant in each dual-task condition were excluded, and the remaining data (in files with “*_for_ANOVA_10%excluded”) underwent all the analyses above. Third, mixed-effect models were run for the raw data of ACC and RT in Task 1 and Task 2 (in files with “*_for_mixed_effect_models”). Model formulas for analyzing the data were: ACC data: glmer(ACC ~ Group * Condition + (1|Participant), family=binomial); RT data: lmer(RT ~ Group * Condition + (1|Participant)).
DOI: 10.17632/sj2jzztv4z
title: Graph Instances for Atomic Cliques

description: This dataset contains all graph instances used in the paper "On Atomic Cliques in Temporal Graphs". These graph instances were derived from the Second DIMACS Implementation Challenge and Stanford Large Network Dataset Collection using Python.

To reproduce the numerical results of the paper using these graph instances, readers may first download the code shared publicly on Github at https://github.com/yajun668/AtomicCliques.
DOI: 10.3535/g5t-29h-5tz
title: Amber

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.3535/jeg-87h-p9a
title: Bivalvia Linnaeus, 1758

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