cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.24992553
title: Emotional intelligence training for sports coaches – evaluation of a time-effective online intervention and its effects on coaching efficacy

description: Emotional Intelligence (EI) describes the way an individual manages one’s own and others’ emotions. In the context of sports, higher EI has been associated with more successful performance and coping. Past studies with athletes have shown that EI can be improved through training. However, the present study is the first evaluating an EI training specifically designed for sport coaches. Therefore, 57 coaches from individual sports (e.g., running, swimming, triathlon; recreational to international level) were randomized into intervention group (EI training) and control group (health and well-being training). Both trainings consisted of five weeks (15 sessions of 10-15 minutes), and in response to coaches’ needs for accessible and time effective training tools they were carried out online. Coaches’ EI and beliefs in their coaching skills (i.e., coaching efficacy) were assessed before and after the training. We found that coaches’ interpersonal emotional competencies, game strategy efficacy, and team efficacy improved in the intervention group, but not in the control group. In addition, results replicated a positive correlation between EI and coaching efficacy. The present study contributes to EI research and coaching science, especially by addressing the call for empirically evaluated coaching education. Overall, we can recommend the implementation of an EI training for coaches in applied sport psychological work and for coaching education programs. <i>Lay summary:</i> An EI training addressing coaches’ needs for accessible and time effective training through an online-based format was evaluated. Compared to a control group training, the EI training enhanced coaches’ interpersonal emotional competencies and their perceived skills to influence athletes in competitions (game strategy efficacy) and their team dynamics (team efficacy). Coaches’ emotional competencies can be trained. The online-based training format addresses coaches’ needs and preferences and is promising to reach a great number of coaches. We recommend sports psychologists and sports federations integrate the EI training into their counseling process and education program.
DOI: 10.48597/26mu-x26f
title: Measurement of Pm10_mass at Diabla Gora

description: Measurement of Pm10_mass at Diabla Gora
DOI: 10.48597/8fbw-xjnf
title: Measurement of Pm10_mass at Diabla Gora

description: Measurement of Pm10_mass at Diabla Gora
DOI: 10.48597/8sbx-49y5
title: Measurement of Pm10_mass at Diabla Gora

description: Measurement of Pm10_mass at Diabla Gora
DOI: 10.48597/cr4u-6dbf
title: Measurement of Sulphur_dioxide at Diabla Gora

description: Measurement of Sulphur_dioxide at Diabla Gora
DOI: 10.48597/sbnw-q29s
title: Measurement of Pm10_mass at Diabla Gora

description: Measurement of Pm10_mass at Diabla Gora
DOI: 10.48597/sssq-3wwa
title: Measurement of Pm10_mass at Diabla Gora

description: Measurement of Pm10_mass at Diabla Gora
DOI: 10.48597/tfwv-vtbw
title: Measurement of Pm10_mass at Diabla Gora

description: Measurement of Pm10_mass at Diabla Gora
DOI: 10.48597/b7j5-tyhp
title: Measurement of Pm10_mass at Diabla Gora

description: Measurement of Pm10_mass at Diabla Gora
DOI: 10.48597/gxmq-yc8w
title: Measurement of Pm10_mass at Diabla Gora

description: Measurement of Pm10_mass at Diabla Gora
DOI: 10.48597/j5yf-p3f7
title: Measurement of Mercury_TGM at Diabla Gora

description: Measurement of Mercury_TGM at Diabla Gora
DOI: 10.48597/nq8h-crqf
title: Measurement of Pm10_mass at Diabla Gora

description: Measurement of Pm10_mass at Diabla Gora
DOI: 10.48597/y29d-49gf
title: Measurement of Pm10_mass at Diabla Gora

description: Measurement of Pm10_mass at Diabla Gora
DOI: 10.48597/paw2-udx4
title: Measurement of Pm25_mass at Diabla Gora

description: Measurement of Pm25_mass at Diabla Gora
DOI: 10.48597/xt65-wspe
title: Measurement of Ozone at Diabla Gora

description: Measurement of Ozone at Diabla Gora
DOI: 10.5281/zenodo.13772913
title: PHENOLOGICAL INDICATORS OF RESOURCES OFFERED TO LEAF HERBIVORES IN RESTINGA COMMUNITIES

description: Dataset from the second chapter of the doctoral thesis entitled “HERBIVORY PATTERNS, ANTI-HERBIVORY DEFENSES AND INSECT GUILD OCCURRENCE IN ATLANTIC FOREST COMMUNITIES.”
DOI: 10.5281/zenodo.13773118
title: FRACTESUS_KIT_SA508Cl3_KJc_MCT_-60_19

description: Fractesus project. Fracture test mini-CT. Raw data SA508Cl3. KIT.
DOI: 10.5281/zenodo.13773119
title: FRACTESUS_KIT_SA508Cl3_KJc_MCT_-60_19

description: Fractesus project. Fracture test mini-CT. Raw data SA508Cl3. KIT.
DOI: 10.6084/m9.figshare.27045454.v1
title: Actinidia valvata genome sequences

description: Actinidia valvata genome sequences
DOI: 10.6084/m9.figshare.27045454
title: Actinidia valvata genome sequences

description: Actinidia valvata genome sequences
DOI: 10.15468/dl.p794f4
title: Occurrence Download

description: A dataset containing 17112 species occurrences available in GBIF matching the query:
{
 "and" : [
 {
 "or" : [
 "PublishingCountry is Colombia",
 {
 "and" : [
 "Country is Colombia",
 {
 "not" : {
 "Issue" : [
 "is Country coordinate mismatch"
 ]
 }
 }
 ]
 }
 ]
 },
 {
 "and" : [
 "GadmGid is one of (COL.11_2)",
 "TaxonKey is one of (Insecta)"
 ]
 }
 ]
}

 The dataset includes 17112 records from 111 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0019725-240906103802322/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.gedwrn
title: Occurrence Download

description: A dataset containing 1232 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Brazil",
 "Geometry POLYGON((-52.29978586723769 -17.76084047109208,-48.29978586723769 -17.76084047109208,-48.29978586723769 -13.76084047109208,-52.29978586723769 -13.76084047109208,-52.29978586723769 -17.76084047109208))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Lepidoptera"
 ]
}

 The dataset includes 1232 records from 23 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0019726-240906103802322/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.21942/uva.27045352
title: Email data

description: Email data
DOI: 10.21942/uva.27045352.v1
title: Email data

description: Email data
DOI: 10.6084/m9.figshare.27045502
title: Actinidia valvata annotation file

description: Actinidia valvata annotation file
DOI: 10.15468/dl.2j2upq
title: Occurrence Download

description: A dataset containing 254 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Camellia sinensis var. sinensis"
 ]
}

 The dataset includes 254 records from 27 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0019727-240906103802322/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.21942/uva.27045301
title: Archival data

description: Archival data
DOI: 10.21942/uva.27045301.v1
title: Archival data

description: Archival data
DOI: 10.15468/dl.psa54a
title: Occurrence Download

description: A dataset containing 203 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Brazil",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Eulaema mocsaryi (Friese, 1899)"
 ]
}

 The dataset includes 203 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0019728-240906103802322/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.vdjd2g
title: Occurrence Download

description: A dataset containing 2195 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Iberolacerta monticola (Boulenger, 1905)"
 ]
}

 The dataset includes 2195 records from 30 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0019730-240906103802322/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.catt6n
title: Occurrence Download

description: A dataset containing 542 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Saccopteryx canescens Thomas, 1901"
 ]
}

 The dataset includes 542 records from 57 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0019729-240906103802322/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.27045511.v1
title: Actinidia valvata protein sequences

description: Actinidia valvata protein sequences
DOI: 10.6084/m9.figshare.27045511
title: Actinidia valvata protein sequences

description: Actinidia valvata protein sequences
DOI: 10.6084/m9.figshare.27038518
title: Space of Morphable Material Appearance: Datasets and Models

description: Here, we provide the real photo datasets of materials and the trained generative models used in our paper:Liao C., Sawayama M., & Xiao B. (2024). Probing the Link Between Vision and Language in Material Perception Using Psychophysics and Unsupervised Learning. <i>PLoS Computational Biology</i><b>Real photo datasets:</b>Soap dataset: 8085 photos. Please check our previously published TID dataset.Rock dataset: rock_dataset.zip (3180 photos)Squishy toy dataset: squishy_toy_dataset.zip (1900 photos)<b>StyleGAN2-ADA models:</b>Soap Model: StyleGAN_models/StyleGAN_G_soap.pklRock Model: StyleGAN_models/StyleGAN_G_rock.pklSquishy Toy Model: StyleGAN_models/StyleGAN_G_toy.pkl<br>
DOI: 10.48597/9hwr-xse8
title: Measurement of PAHs (polycyclic aromatic hydrocarbons, 16) at Diabla Gora

description: Measurement of PAHs (polycyclic aromatic hydrocarbons, 16) at Diabla Gora
DOI: 10.48597/rghd-zj7b
title: Measurement of Nitrogen oxides at Diabla Gora

description: Measurement of Nitrogen oxides at Diabla Gora
DOI: 10.48597/5zkm-vk92
title: Measurement of Nitrogen oxides at Diabla Gora

description: Measurement of Nitrogen oxides at Diabla Gora
DOI: 10.48597/pm3b-qt7g
title: Measurement of Nitrogen oxides at Diabla Gora

description: Measurement of Nitrogen oxides at Diabla Gora
DOI: 10.48597/43c9-vepu
title: Measurement of Nitrogen oxides at Diabla Gora

description: Measurement of Nitrogen oxides at Diabla Gora
DOI: 10.48597/atyz-5mcm
title: Measurement of Nitrogen oxides at Diabla Gora

description: Measurement of Nitrogen oxides at Diabla Gora
DOI: 10.48597/dchj-uphm
title: Measurement of Nitrogen oxides at Diabla Gora

description: Measurement of Nitrogen oxides at Diabla Gora
DOI: 10.48597/hv2y-3bb2
title: Measurement of Nitrogen oxides at Diabla Gora

description: Measurement of Nitrogen oxides at Diabla Gora
DOI: 10.48597/f2rk-h3dr
title: Measurement of PAHs (polycyclic aromatic hydrocarbons, 16) at Diabla Gora

description: Measurement of PAHs (polycyclic aromatic hydrocarbons, 16) at Diabla Gora
DOI: 10.48597/ujs2-y9th
title: Measurement of PAHs (polycyclic aromatic hydrocarbons, 16) at Diabla Gora

description: Measurement of PAHs (polycyclic aromatic hydrocarbons, 16) at Diabla Gora
DOI: 10.48597/3h5r-c3fk
title: Measurement of PAHs (polycyclic aromatic hydrocarbons, 16) at Diabla Gora

description: Measurement of PAHs (polycyclic aromatic hydrocarbons, 16) at Diabla Gora
DOI: 10.48597/6xeq-5jqm
title: Measurement of PAHs (polycyclic aromatic hydrocarbons, 16) at Diabla Gora

description: Measurement of PAHs (polycyclic aromatic hydrocarbons, 16) at Diabla Gora
DOI: 10.48597/mnb5-dncj
title: Measurement of PAHs (polycyclic aromatic hydrocarbons, 16) at Diabla Gora

description: Measurement of PAHs (polycyclic aromatic hydrocarbons, 16) at Diabla Gora
DOI: 10.48597/s4vj-6tg9
title: Measurement of PAHs (polycyclic aromatic hydrocarbons, 16) at Diabla Gora

description: Measurement of PAHs (polycyclic aromatic hydrocarbons, 16) at Diabla Gora
DOI: 10.48597/wxm8-hud2
title: Measurement of PAHs (polycyclic aromatic hydrocarbons, 16) at Diabla Gora

description: Measurement of PAHs (polycyclic aromatic hydrocarbons, 16) at Diabla Gora
DOI: 10.48597/75pc-5vqd
title: Measurement of PAHs (polycyclic aromatic hydrocarbons, 16) at Diabla Gora

description: Measurement of PAHs (polycyclic aromatic hydrocarbons, 16) at Diabla Gora
DOI: 10.48597/tdfr-wk63
title: Measurement of PAHs (polycyclic aromatic hydrocarbons, 16) at Diabla Gora

description: Measurement of PAHs (polycyclic aromatic hydrocarbons, 16) at Diabla Gora
DOI: 10.48597/wuw8-ktdz
title: Measurement of PAHs (polycyclic aromatic hydrocarbons, 16) at Diabla Gora

description: Measurement of PAHs (polycyclic aromatic hydrocarbons, 16) at Diabla Gora
DOI: 10.5281/zenodo.13773128
title: FRACTESUS_KIT_SA508Cl3_KJc_MCT_-60_20

description: Fractesus project. Fracture test mini-CT. Raw data SA508Cl3. KIT.
DOI: 10.5281/zenodo.13773129
title: FRACTESUS_KIT_SA508Cl3_KJc_MCT_-60_20

description: Fractesus project. Fracture test mini-CT. Raw data SA508Cl3. KIT.
DOI: 10.5518/42
title: Characteristics of low concentration SDS decellularised human donor aortic and pulmonary valved conduits.

description: Data on the biological and biomechanical properties of  human donor aortic and pulmonary cardiac valves  before and after decellularisation: biomechanical testing data (ultimate tensile strength, failure strain, Young's modulus); DNA, collagen and GAG content; in vitro biocompatibility.
DOI: 10.15468/dl.dfse4k
title: Occurrence Download

description: A dataset containing 9816 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Andrena miserabilis Cresson, 1872"
 ]
}

 The dataset includes 9816 records from 61 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0019731-240906103802322/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.18758/71021047
title: GEM-Mars GCM simulations for 2018 global dust storm for Neary et al., GRL, 2019

description: The data is from the GEM-Mars GCM and contains vertical profiles and zonal mean averages of various atmospheric quantities such as water vapour, water ice clouds, temperature, etc. The files provided are in ascii format.

The simulations are for Mars Year 34, between Ls 180 and 240 (May - Aug 2018).
DOI: 10.15468/dl.zhc89u
title: Occurrence Download

description: A dataset containing 2707 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Chile",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Sternula lorata (Philippi & Landbeck, 1861)"
 ]
}

 The dataset includes 2707 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0019732-240906103802322/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.k5wf9s
title: Occurrence Download

description: A dataset containing 43 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Thibaudia yungensis Luteyn & Pedraza"
 ]
}

 The dataset includes 43 records from 9 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0019733-240906103802322/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.27045499
title: Data: Teachers' Digital Assessment Competence

description: This dataset comprises the findings from a survey study involving 495 active and prospective teachers in Southwest China. The survey was designed to assess three key constructs: Digital Assessment Organization (DAO), Assessment Result Analysis (ARA), and Feedback Provision (FP) using the EDAC scale.
DOI: 10.6084/m9.figshare.25054301
title: Air quality data from sensor kits in CoMobility schools (COMOB-A)

description: COMOB-A_Air_Quality_raw_data_with_flags is associated with the data collected by the air quality sensor kits - Airly. These sensor kits were deployed near three schools to measure three components: PM, NO2, and O3. Each school had two sensors nearby, totaling six sensors across the three locations. The collected data underwent quality control procedures and are flagged accordingly to denote their reliability and accuracy. COMOB-A_Air_Quality_PM25_corrected is associated with the corrected PM2.5 data collected by the air quality sensor kits - Airly. The process involved several steps to ensure data accuracy. Initially, raw data from the sensors, as stored in the "AQ_Sensors_QC_Flags" table, underwent thorough quality control checks. Measurements failing any of these checks were removed from the analysis. Subsequently, the raw data from the two sensors located near each school were averaged to derive a single representative value. This average value was then corrected using data from nearby reference stations. This correction method compensated for any discrepancies in gain and offset inherent in the low-cost air quality sensors.COMOB-A_Air_Quality_O3_corrected is associated with the Ozone (O3) data collected and corrected by the air quality sensor kits - Airly. The process involved several steps to ensure data accuracy. Initially, raw data from the sensors, as stored in the "AQ_Sensors_QC_Flags" table, underwent thorough quality control checks. Measurements failing any of these checks were removed from the analysis. Subsequently, the raw data from the two sensors located near each school were averaged to derive a single representative value. This average value was then corrected using data from nearby reference stations. This correction method compensated for any discrepancies in gain and offset inherent in the low-cost air quality sensors.COMOB-A_Air_Quality_NO2_corrected is associated with the NO2 data collected and corrected by the air quality sensor kits - Airly. The process involved several key steps to ensure data accuracy. Initially, raw data from the sensors underwent quality control checks, as recorded in the "AQ_Sensors_QC_Flags" table. Any measurements failing these checks were subsequently excluded from further analysis. Following quality control, the raw sensor data underwent correction procedures using nearby NO2 diffusive samplers.
DOI: 10.6084/m9.figshare.25054301.v2
title: Air quality data from sensor kits in CoMobility schools (COMOB-A)

description: COMOB-A_Air_Quality_raw_data_with_flags is associated with the data collected by the air quality sensor kits - Airly. These sensor kits were deployed near three schools to measure three components: PM, NO2, and O3. Each school had two sensors nearby, totaling six sensors across the three locations. The collected data underwent quality control procedures and are flagged accordingly to denote their reliability and accuracy. COMOB-A_Air_Quality_PM25_corrected is associated with the corrected PM2.5 data collected by the air quality sensor kits - Airly. The process involved several steps to ensure data accuracy. Initially, raw data from the sensors, as stored in the "AQ_Sensors_QC_Flags" table, underwent thorough quality control checks. Measurements failing any of these checks were removed from the analysis. Subsequently, the raw data from the two sensors located near each school were averaged to derive a single representative value. This average value was then corrected using data from nearby reference stations. This correction method compensated for any discrepancies in gain and offset inherent in the low-cost air quality sensors.COMOB-A_Air_Quality_O3_corrected is associated with the Ozone (O3) data collected and corrected by the air quality sensor kits - Airly. The process involved several steps to ensure data accuracy. Initially, raw data from the sensors, as stored in the "AQ_Sensors_QC_Flags" table, underwent thorough quality control checks. Measurements failing any of these checks were removed from the analysis. Subsequently, the raw data from the two sensors located near each school were averaged to derive a single representative value. This average value was then corrected using data from nearby reference stations. This correction method compensated for any discrepancies in gain and offset inherent in the low-cost air quality sensors.COMOB-A_Air_Quality_NO2_corrected is associated with the NO2 data collected and corrected by the air quality sensor kits - Airly. The process involved several key steps to ensure data accuracy. Initially, raw data from the sensors underwent quality control checks, as recorded in the "AQ_Sensors_QC_Flags" table. Any measurements failing these checks were subsequently excluded from further analysis. Following quality control, the raw sensor data underwent correction procedures using nearby NO2 diffusive samplers.
DOI: 10.6084/m9.figshare.25054301.v1
title: Air quality data from sensor kits in CoMobility schools (COMOB-A)

description: COMOB-A_Air_Quality_raw_data_with_flags is associated with the data collected by the air quality sensor kits - Airly. These sensor kits were deployed near three schools to measure three components: PM, NO2, and O3. Each school had two sensors nearby, totaling six sensors across the three locations. The collected data underwent quality control procedures and are flagged accordingly to denote their reliability and accuracy. COMOB-A_Air_Quality_PM25_corrected is associated with the corrected PM2.5 data collected by the air quality sensor kits - Airly. The process involved several steps to ensure data accuracy. Initially, raw data from the sensors, as stored in the "AQ_Sensors_QC_Flags" table, underwent thorough quality control checks. Measurements failing any of these checks were removed from the analysis. Subsequently, the raw data from the two sensors located near each school were averaged to derive a single representative value. This average value was then corrected using data from nearby reference stations. This correction method compensated for any discrepancies in gain and offset inherent in the low-cost air quality sensors.COMOB-A_Air_Quality_O3_corrected is associated with the Ozone (O3) data collected and corrected by the air quality sensor kits - Airly. The process involved several steps to ensure data accuracy. Initially, raw data from the sensors, as stored in the "AQ_Sensors_QC_Flags" table, underwent thorough quality control checks. Measurements failing any of these checks were removed from the analysis. Subsequently, the raw data from the two sensors located near each school were averaged to derive a single representative value. This average value was then corrected using data from nearby reference stations. This correction method compensated for any discrepancies in gain and offset inherent in the low-cost air quality sensors.COMOB-A_Air_Quality_NO2_corrected is associated with the NO2 data collected and corrected by the air quality sensor kits - Airly. The process involved several key steps to ensure data accuracy. Initially, raw data from the sensors underwent quality control checks, as recorded in the "AQ_Sensors_QC_Flags" table. Any measurements failing these checks were subsequently excluded from further analysis. Following quality control, the raw sensor data underwent correction procedures using nearby NO2 diffusive samplers.
DOI: 10.6084/m9.figshare.27045349
title: data_mismatch.7z

description: Chinese tourism resources and economy
DOI: 10.6084/m9.figshare.27045349.v1
title: data_mismatch.7z

description: Chinese tourism resources and economy
DOI: 10.5281/zenodo.12751850
title: Prosopografia altinate

description: Prosopografia altinate derivata da iscrizioni latine citate in B. PIVETTA, Le gentes di Altino romana, Tesi di Laurea, a.a. 1997/98, Relatore G. Cresci Marrone, Università Ca' Foscari di Venezia e in gran parte riviste dalla sottoscritta.