cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.25384/sage.14459497
title: sj-zip-1-pms-10.1177_00315125211010047 - Supplemental material for Might High-Intensity Interval Exercise Be Remembered as More Pleasurable? An Attempt to Test the Peak-End Rule in the Exercise Context

description: Supplemental material, sj-zip-1-pms-10.1177_00315125211010047 for Might High-Intensity Interval Exercise Be Remembered as More Pleasurable? An Attempt to Test the Peak-End Rule in the Exercise Context by Elaine Domingues Alves, Ursula Ferreira Julio, Valéria Leme Gonçalves Panissa, Emerson Franchini and Monica Yuri Takito in Perceptual and Motor Skills
DOI: 10.25384/sage.14471135
title: sj-spv-6-hpq-10.1177_13591053211008209 – Research Data for Associations among physical activity tracking, physical activity motivation and level of physical activity in young adults

description: Research Data, sj-spv-6-hpq-10.1177_13591053211008209 for Associations among physical activity tracking, physical activity motivation and level of physical activity in young adults by Erin K O’Loughlin, Catherine M Sabiston, Melissa L deJonge, Kristen M Lucibello and Jennifer L O’Loughlin in Journal of Health Psychology
DOI: 10.25384/sage.14444127
title: sj-xlsx-4-hpq-10.1177_13591053211004684 – for “Everything feels risky now”: Perceived “risky” sexual behavior during COVID-19 pandemic

description: sj-xlsx-4-hpq-10.1177_13591053211004684 for “Everything feels risky now”: Perceived “risky” sexual behavior during COVID-19 pandemic by Jessamyn Bowling, Erika Montanaro, Jennifer Gattuso, Diana Gioia and Sarai Guerrero Ordonez in Journal of Health Psychology
DOI: 10.25384/sage.14471141
title: sj-spv-8-hpq-10.1177_13591053211008209 – Research Data for Associations among physical activity tracking, physical activity motivation and level of physical activity in young adults

description: Research Data, sj-spv-8-hpq-10.1177_13591053211008209 for Associations among physical activity tracking, physical activity motivation and level of physical activity in young adults by Erin K O’Loughlin, Catherine M Sabiston, Melissa L deJonge, Kristen M Lucibello and Jennifer L O’Loughlin in Journal of Health Psychology
DOI: 10.25384/sage.14471150.v1
title: sj-xls-19-hpq-10.1177_13591053211008209 – Research Data for Associations among physical activity tracking, physical activity motivation and level of physical activity in young adults

description: Research Data, sj-xls-19-hpq-10.1177_13591053211008209 for Associations among physical activity tracking, physical activity motivation and level of physical activity in young adults by Erin K O’Loughlin, Catherine M Sabiston, Melissa L deJonge, Kristen M Lucibello and Jennifer L O’Loughlin in Journal of Health Psychology
DOI: 10.25384/sage.14471111
title: sj-spv-10-hpq-10.1177_13591053211008209 – Research Data for Associations among physical activity tracking, physical activity motivation and level of physical activity in young adults

description: Research Data, sj-spv-10-hpq-10.1177_13591053211008209 for Associations among physical activity tracking, physical activity motivation and level of physical activity in young adults by Erin K O’Loughlin, Catherine M Sabiston, Melissa L deJonge, Kristen M Lucibello and Jennifer L O’Loughlin in Journal of Health Psychology
DOI: 10.25384/sage.14471120.v1
title: sj-spv-13-hpq-10.1177_13591053211008209 – Research Data for Associations among physical activity tracking, physical activity motivation and level of physical activity in young adults

description: Research Data, sj-spv-13-hpq-10.1177_13591053211008209 for Associations among physical activity tracking, physical activity motivation and level of physical activity in young adults by Erin K O’Loughlin, Catherine M Sabiston, Melissa L deJonge, Kristen M Lucibello and Jennifer L O’Loughlin in Journal of Health Psychology
DOI: 10.25384/sage.14560988
title: sj-xlsx-2-jea-10.1177_02724316211002271 – Supplemental material for Social-Ecological Predictors of Homophobic Name-Calling Perpetration and Victimization Among Early Adolescents

description: Supplemental material, sj-xlsx-2-jea-10.1177_02724316211002271 for Social-Ecological Predictors of Homophobic Name-Calling Perpetration and Victimization Among Early Adolescents by Alberto Valido, Gabriel J. Merrin, Dorothy L. Espelage, Luz E. Robinson, Kyle Nickodem, Katherine M. Ingram, America J. El Sheikh, Cagil Torgal and Javari Fairclough in The Journal of Early Adolescence
DOI: 10.25384/sage.14561057.v1
title: sj-sav-1-hpq-10.1177_13591053211012771 – Supplemental material for The relationship between psychological capital and mental health during the Covid-19 pandemic: A longitudinal mediation model

description: sj-sav-1-hpq-10.1177_13591053211012771 for The relationship between psychological capital and mental health during the Covid-19 pandemic: A longitudinal mediation model by Maria Nicoleta Turliuc and Octav Sorin Candel in Journal of Health Psychology
DOI: 10.25384/sage.14444203.v1
title: sj-txt-6-hol-10.1177_09596836211003191 – Supplemental material for Vegetation response to the Indian Summer Monsoon (ISM) variability during the Late-Holocene from the central Indian core monsoon zone

description: Supplemental material, sj-txt-6-hol-10.1177_09596836211003191 for Vegetation response to the Indian Summer Monsoon (ISM) variability during the Late-Holocene from the central Indian core monsoon zone by Mohammad Firoze Quamar, Ratan Kar and Biswajeet Thakur in The Holocene
DOI: 10.25384/sage.14561041.v1
title: sj-xlsx-1-hpq-10.1177_13591053211012778 – Supplemental material for Group singing improves both physical and psychological wellbeing in people with and without chronic health conditions: A narrative review

description: sj-xlsx-1-hpq-10.1177_13591053211012778 for Group singing improves both physical and psychological wellbeing in people with and without chronic health conditions: A narrative review by Quinn Campbell, Sally Bodkin-Allen and Nicola Swain in Journal of Health Psychology
DOI: 10.25384/sage.14561057
title: sj-sav-1-hpq-10.1177_13591053211012771 – Supplemental material for The relationship between psychological capital and mental health during the Covid-19 pandemic: A longitudinal mediation model

description: sj-sav-1-hpq-10.1177_13591053211012771 for The relationship between psychological capital and mental health during the Covid-19 pandemic: A longitudinal mediation model by Maria Nicoleta Turliuc and Octav Sorin Candel in Journal of Health Psychology
DOI: 10.25384/sage.14561060
title: Supplemental Material, sj-xlsx-1-cpc-10.1177_10556656211010606 - Dental Arch Relationship Outcomes Following 2-Stage Palatoplasty for Japanese Patients With Complete Unilateral Cleft Lip and Palate: A 3-Center Study

description: Supplemental Material, sj-xlsx-1-cpc-10.1177_10556656211010606 for Dental Arch Relationship Outcomes Following 2-Stage Palatoplasty for Japanese Patients With Complete Unilateral Cleft Lip and Palate: A 3-Center Study by Junya Kato, Tadashi Mikoya, Yumi Ito, Yoshiaki Sato, Setsuko Uematsu, Yasumitsu Kodama, Takafumi Susami, Tadashi Yamanishi and Ritsuo Takagi in The Cleft Palate-Craniofacial Journal
DOI: 10.25384/sage.14562380
title: sj-zip-1-tia-10.1177_23312165211009351 - Supplemental material for Effect of Speech-to-Noise Ratio and Luminance on a Range of Current and Potential Pupil Response Measures to Assess Listening Effort

description: Supplemental material, sj-zip-1-tia-10.1177_23312165211009351 for Effect of Speech-to-Noise Ratio and Luminance on a Range of Current and Potential Pupil Response Measures to Assess Listening Effort by Patrycja Książek, Adriana A. Zekveld, Dorothea Wendt, Lorenz Fiedler, Thomas Lunner and Sophia E. Kramer in Trends in Hearing
DOI: 10.25384/sage.14562401
title: sj-xlsx-2-sci-10.1177_00368504211013171 – Supplemental material for Ventilatory defects and treatable traits in very elderly patients

description: Supplemental material, sj-xlsx-2-sci-10.1177_00368504211013171 for Ventilatory defects and treatable traits in very elderly patients by João Gaspar-Marques, Teresa Palmeiro, Iolanda Caires, Paula Leiria Pinto, Nuno Neuparth and Pedro Carreiro-Martins in Science Progress
DOI: 10.25384/sage.14562401.v1
title: sj-xlsx-2-sci-10.1177_00368504211013171 – Supplemental material for Ventilatory defects and treatable traits in very elderly patients

description: Supplemental material, sj-xlsx-2-sci-10.1177_00368504211013171 for Ventilatory defects and treatable traits in very elderly patients by João Gaspar-Marques, Teresa Palmeiro, Iolanda Caires, Paula Leiria Pinto, Nuno Neuparth and Pedro Carreiro-Martins in Science Progress
DOI: 10.25384/sage.14564964
title: sj-xlsx-4-irp-10.1177_26334895211004607 – Supplemental material for Consensus on strategies for implementing high priority mental health care practices within the US Department of Veterans Affairs

description: Supplemental material, sj-xlsx-4-irp-10.1177_26334895211004607 for Consensus on strategies for implementing high priority mental health care practices within the US Department of Veterans Affairs by Thomas J Waltz, Byron J Powell, Monica M Matthieu, Jeffrey L Smith, Laura J Damschroder, Matthew J Chinman, Enola K Proctor and JoAnn E Kirchner in Implementation Research and Practice
DOI: 10.25384/sage.14471215.v1
title: sj-txt-3-smm-10.1177_09622802211007522 - Supplemental material for Estimation of required sample size for external validation of risk models for binary outcomes

description: Supplemental material, sj-txt-3-smm-10.1177_09622802211007522 for Estimation of required sample size for external validation of risk models for binary outcomes by Menelaos Pavlou, Chen Qu, Rumana Z Omar, Shaun R Seaman, Ewout W Steyerberg, Ian R White and Gareth Ambler in Statistical Methods in Medical Research
DOI: 10.25384/sage.14471207.v1
title: sj-zip-1-asp-10.1177_00037028211009212 - Supplemental material for Photoacoustic Detection of Weak Absorption Bands in Infrared Spectra of Calcite

description: Supplemental material, sj-zip-1-asp-10.1177_00037028211009212 for Photoacoustic Detection of Weak Absorption Bands in Infrared Spectra of Calcite by Stephen Campbell, Marisa Dusseault, Ben Xu, Kirk H. Michaelian and Kristin M. Poduska in Applied Spectroscopy
DOI: 10.25384/sage.14480516
title: sj-zip-2-css-10.1177_24705470211000338 - Supplemental material for Stress Markers for Mental States and Biotypes of Depression and Anxiety: A Scoping Review and Preliminary Illustrative Analysis

description: Supplemental material, sj-zip-2-css-10.1177_24705470211000338 for Stress Markers for Mental States and Biotypes of Depression and Anxiety: A Scoping Review and Preliminary Illustrative Analysis by Megan Chesnut, Sahar Harati, Pablo Paredes, Yasser Khan, Amir Foudeh, Jayoung Kim, Zhenan Bao and Leanne M. Williams in Chronic Stress
DOI: 10.25384/sage.14565137.v1
title: sj-sav-1-euc-10.1177_14773708211010665 – for Evaluating the impact of Syrian refugees on fear of crime in Turkey

description: sj-sav-1-euc-10.1177_14773708211010665 for Evaluating the impact of Syrian refugees on fear of crime in Turkey by Kadir Akyuz, Halil Akbas and Ismail Onat in European Journal of Criminology
DOI: 10.25384/sage.14444256.v1
title: sj-xlsx-2-jcb-10.1177_0271678X211007960 - Supplemental material for Neurovascular coupling dysfunction in end-stage renal disease patients related to cognitive impairment

description: Supplemental material, sj-xlsx-2-jcb-10.1177_0271678X211007960 for Neurovascular coupling dysfunction in end-stage renal disease patients related to cognitive impairment by Peng Li, Junya Mu, Xueying Ma, Dun Ding, Shaohui Ma, Huawen Zhang, Jixin Liu and Ming Zhang in Journal of Cerebral Blood Flow & Metabolism
DOI: 10.15468/dl.z986x7
title: Occurrence Download

description: A dataset containing 1200779 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Motacilla flava Linnaeus, 1758",
 "HasCoordinate is true",
 "Year is greater than or equal to 2011",
 "Year is less than or equal to 2024"
 ]
}

 The dataset includes 1200779 records from 2168 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0106041-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15156/bio/sh1249954.09fu
title: SH1249954.09FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.15156/bio/sh1249955.09fu
title: SH1249955.09FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.15156/bio/sh1249956.09fu
title: SH1249956.09FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.15156/bio/sh1249957.09fu
title: SH1249957.09FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.15156/bio/sh1249958.09fu
title: SH1249958.09FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.15156/bio/sh1249959.09fu
title: SH1249959.09FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.15156/bio/sh1249960.09fu
title: SH1249960.09FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.15156/bio/sh1249961.09fu
title: SH1249961.09FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.15156/bio/sh1249962.09fu
title: SH1249962.09FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.15156/bio/sh1249963.09fu
title: SH1249963.09FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.