cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5517/ccdc.csd.cc21b9zp
title: CCDC 1886752: Experimental Crystal Structure Determination

description: Related Article: Vladimir Sharutin, Marina Popkova|2019|Yuzhno-Ural'skii Gosudarst. Univ.Vestn. Ser.Khim.|11|5-2|doi:10.14529/chem190201
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc21bb2t
title: CCDC 1886755: Experimental Crystal Structure Determination

description: Related Article: Elena Lucenti, Alessandra Forni, Daniele Marinotto, Andrea Previtali, Stefania Righetto, Elena Cariati|2019|Inorganics|7|38|doi:10.3390/inorganics7030038
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc21bb3v
title: CCDC 1886756: Experimental Crystal Structure Determination

description: Related Article: Elena Lucenti, Alessandra Forni, Daniele Marinotto, Andrea Previtali, Stefania Righetto, Elena Cariati|2019|Inorganics|7|38|doi:10.3390/inorganics7030038
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc21bb4w
title: CCDC 1886757: Experimental Crystal Structure Determination

description: Related Article: Elena Lucenti, Alessandra Forni, Daniele Marinotto, Andrea Previtali, Stefania Righetto, Elena Cariati|2019|Inorganics|7|38|doi:10.3390/inorganics7030038
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.15468/dl.kha8kb
title: Occurrence Download

description: A dataset containing 2092574 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Specimen",
 "OccurrenceStatus is Present",
 "TaxonKey is Brassicaceae"
 ]
}

 The dataset includes 2092574 records from 1145 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0014113-240229165702484/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.a7eqvv
title: Occurrence Download

description: A dataset containing 806 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((44.53857 39.52881,45.43945 38.67188,47.72461 38.73779,48.7793 38.15552,50.63599 40.26489,48.27622 42.23377,45.38078 41.86481,44.53857 39.52881))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Bacteria"
 ]
}

 The dataset includes 806 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0134853-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.zg68ed
title: Occurrence Download

description: A dataset containing 112 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((2.92611 51.32076,4.69193 51.32076,4.69193 52.02787,2.92611 52.02787,2.92611 51.32076))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Aeolidia filomenae Kienberger, Carmona, Pola, Padula, Gosliner & Cervera, 2016"
 ]
}

 The dataset includes 112 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0043042-240506114902167/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.8hqbah
title: Occurrence Download

description: A dataset containing 746 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Chrysocyon brachyurus (Illiger, 1815)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 746 records from 27 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0071809-231120084113126/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.erghsq
title: Occurrence Download

description: A dataset containing 15552 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Vipera aspis (Linnaeus, 1758)"
 ]
}

 The dataset includes 15552 records from 163 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0031547-190918142434337/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.9xvg3y
title: Occurrence Download

description: A dataset containing 1365360 species occurrences available in GBIF matching the query:
{
 "and" : [
 {
 "or" : [
 "PublishingCountry is Colombia",
 {
 "and" : [
 "Country is Colombia",
 {
 "not" : {
 "Issue" : [
 "is Country coordinate mismatch"
 ]
 }
 }
 ]
 }
 ]
 },
 "StateProvince is one of (santander)"
 ]
}

 The dataset includes 1365360 records from 620 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0071808-231120084113126/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.qfrud9
title: Occurrence Download

description: A dataset containing 375942 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is Odonata Central"
 ]
}

 The dataset includes 375942 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0020866-250402121839773/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.28785116
title: Merged notification and contact tracing register

description: This is the merged file for notification register and contact tracing register under NTEP for a state from INdia.
DOI: 10.6084/m9.figshare.28785116.v1
title: Merged notification and contact tracing register

description: This is the merged file for notification register and contact tracing register under NTEP for a state from INdia.
DOI: 10.15468/dl.wgky8q
title: Occurrence Download

description: A dataset containing 10137 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is Base de datos de especies y especímenes de la flora costera del norte de Chile (plan RECOGE)"
 ]
}

 The dataset includes 10137 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0020870-250402121839773/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.57702/2zp4mbqb
title: Corona Daten für den Supply Chain Radar

description: Die Webseite https://www.diw.de/de/diw01.c.809410.de/familienmonitor_corona.html ist eine Datenquelle des Deutschen Instituts für Wirtschaftsforschung (DIW) Berlin. Sie bietet umfassende Informationen und regelmäßige Berichte zum FamilienMonitor_Corona, einem Projekt, das sich mit den Auswirkungen der Corona -Pandemie auf Familien beschäftigt1. Die Plattform bietet Einblicke in die Sorgen und das Wohlbefinden von Eltern, insbesondere in Bezug auf die Bildung und die wirtschaftliche Zukunft ihrer Kinder1. Die Daten und Analysen werden in Zusammenarbeit mit infratest dimap erstellt und sind in mehreren Berichten verfügbar.
DOI: 10.6084/m9.figshare.27693412
title: Identification of coagulation-related genes as potential diagnostic biomarkers for pediatric septic shock

description: This study aimed to identify important clotting associated genes (CRGs) associated with septic shock in children and explore possible important mechanisms of the disease. Five hub genes with diagnostic performance were identified using GEO database and data from literature. These hub genes have strong correlation with immune cells. ceRNA network was constructed to explore potential pathogenic mechanisms. Ten candidate small molecule compounds were identified. In summary, the hub genes may play an important role in the immunity and disease development of septic shock, providing new ideas and strategies for future diagnosis and mechanism evaluation of children with septic shock.
DOI: 10.6084/m9.figshare.27693412.v1
title: Identification of coagulation-related genes as potential diagnostic biomarkers for pediatric septic shock

description: This study aimed to identify important clotting associated genes (CRGs) associated with septic shock in children and explore possible important mechanisms of the disease. Five hub genes with diagnostic performance were identified using GEO database and data from literature. These hub genes have strong correlation with immune cells. ceRNA network was constructed to explore potential pathogenic mechanisms. Ten candidate small molecule compounds were identified. In summary, the hub genes may play an important role in the immunity and disease development of septic shock, providing new ideas and strategies for future diagnosis and mechanism evaluation of children with septic shock.
DOI: 10.15468/dl.bkhc8x
title: Occurrence Download

description: A dataset containing 5565 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Parkia biglobosa (Jacq.) R.Br. ex G.Don"
 ]
}

 The dataset includes 5565 records from 138 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0017597-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.85j2vn
title: Occurrence Download

description: A dataset containing 531 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Etmopterus lucifer Jordan & Snyder, 1902",
 "Geometry POLYGON((170 20, 170 50, 120 50, 120 20, 170 20))",
 "HasCoordinate is true"
 ]
}

 The dataset includes 531 records from 23 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0017596-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.mrjad5
title: Occurrence Download

description: A dataset containing 11025 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Avena fatua L.",
 "Geometry POLYGON((-141 24, -53 24, -53 83, -141 83, -141 24))"
 ]
}

 The dataset includes 11025 records from 157 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0017598-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.7xzyt7
title: Occurrence Download

description: A dataset containing 218 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Atadinus fallax (Boiss.) Hauenschild, Rhamnus alpina Sibth. & Sm., Oreoherzogia fallax subsp. liburnia W.Vent, Rhamnus glaberrima Peyron, Rhamnus crini Orph. ex Boiss., Rhamnus fallax Boiss., Frangula glaberrima (Peyron) Grubov, Rhamnus alpina subsp. fallax (Boiss.) Maire & Petitm., Oreoherzogia fallax (Boiss.) W.Vent)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Year is greater than or equal to 2000"
 ]
}

 The dataset includes 218 records from 17 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0017599-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.u8dpfa
title: Occurrence Download

description: A dataset containing 5425 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Spondyliosoma cantharus (Linnaeus, 1758)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 5425 records from 132 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0017600-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.57702/j6mf2eq7
title: Daten der globalen Landwirtschaft und Ernährungssicherheit für den Supply Chain Radar

description: Die Webseite https://developer.twitter.com/en/docs bietet Entwicklern umfassende Dokumentation und Ressourcen zur Nutzung der Twitter API. Diese Plattform ermöglicht den Zugriff auf Twitter-Daten, einschließlich Tweets, Benutzerinformationen und Trends, und erlaubt die Erstellung von Anwendungen, die Twitter's Funktionen integrieren. Entwickler können APIs verwenden, um Tweets abzurufen, zu erstellen oder Datenanalysen durchzuführen, um Einblicke in die Nutzeraktivitäten und Kommunikationsmuster zu gewinnen. Die API ist weithin anpassbar und eignet sich für eine Vielzahl von Anwendungen, von einfachen Bots bis hin zu komplexen Analysetools. Der Zugang zu diesen Ressourcen unterstützt Innovatoren und Unternehmen bei der Entwicklung neuer Lösungen, die auf Twitter-Daten basieren.
DOI: 10.23668/psycharchives.5080
title: COVID-19 Snapshot Monitoring (COSMO Germany) - Wave 49

description: In a crisis such as the current outbreak of the newly emerged coronavirus, it is of utmost importance to monitor public perceptions of risk, protective and preparedness behaviours, public trust, as well as knowledge and misinformation to enable government spokespeople, the media, and health organizations to implement adequate responses (WHO Europe, 2017; World Health Organization, 2017). The purpose of this serial cross-sectional study COSMO is to allow rapid and adaptive monitoring of these variables over time and to assess the relations between risk perceptions, knowledge and misinformation to preparedness and protective behaviour regarding COVID-19 in Germany.
DOI: 10.23668/psycharchives.5081
title: COVID-19 Snapshot Monitoring (COSMO Germany) - Wave 50

description: In a crisis such as the current outbreak of the newly emerged coronavirus, it is of utmost importance to monitor public perceptions of risk, protective and preparedness behaviours, public trust, as well as knowledge and misinformation to enable government spokespeople, the media, and health organizations to implement adequate responses (WHO Europe, 2017; World Health Organization, 2017). The purpose of this serial cross-sectional study COSMO is to allow rapid and adaptive monitoring of these variables over time and to assess the relations between risk perceptions, knowledge and misinformation to preparedness and protective behaviour regarding COVID-19 in Germany.
DOI: 10.15468/dl.ya9cf7
title: Occurrence Download

description: A dataset containing 44 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is one of (Human Observation, Specimen, Living Specimen)",
 "Continent is South America",
 "Country is Colombia",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "License is one of (CC0 1.0, CC-BY 4.0, CC-BY-NC 4.0)",
 "OccurrenceStatus is Present",
 "TaxonKey is Cattleya quadricolor B.S.Williams",
 "Year 1900-2024"
 ]
}

 The dataset includes 44 records from 6 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0017601-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.rk6jh9
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Etmopterus sculptus Ebert, Compagno & De Vries, 2011",
 "Geometry POLYGON((170 20, 170 50, 120 50, 120 20, 170 20))",
 "HasCoordinate is true"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0017602-241126133413365/datasets/export for details.
DOI: 10.23668/psycharchives.5085
title: Dataset for: Perceived Weirdness: A Multitrait-Multisource Study of Self and Other Normality Evaluations

description: Research in personality and organizational psychology has begun to investigate a novel evaluative trait known as perceived normality, defined as an overall perception that one is normal (vs. strange or weird). The current work evaluates a brief measure of this trait (i.e., a “weirdness scale”), extending past work by assessing both self-reports and peer reports of these normality evaluations. Results confirm the measurement equivalence of self- and peer-reports of perceived weirdness, and discriminant validity of self- and peer-reports of perceived weirdness from Big Five traits. A multitrait-multisource analysis further reveals that trait loadings are larger than self-report and peer-report method loadings for the measure of perceived weirdness. Implications for measurement of self-perceptions and social perceptions of weirdness/normality are discussed.
description: Dataset for: Kim, J.-Y., Newman, D. A., Harms, P. D., & Wood, D. (2023). Perceived Weirdness: A Multitrait-Multisource Study of Self and Other Normality Evaluations. Personality Science, 4, 1-23. https://doi.org/10.5964/ps.7399
DOI: 10.23668/psycharchives.5089
title: Data for: Dresden Predictor Study (DPS) of anxiety disorders and depression in young German Women

description: Dataset for: Trumpf, J., Margraf, J., Vriends, N., Meyer, A. H., & Becker, E. S. (2010). Predictors of specific phobia in young women: A prospective community study. Journal of Anxiety Disorders, 24(1), 87–93. https://doi.org/10.1016/j.janxdis.2009.09.002
description: Potential predictors of incidence of specific phobia were investigated within the conceptual framework of the vulnerability–stress model. At two time points separated by approximately 17 months, a community sample of 1261 German women (18–25 years of age) completed a structured interview. A broad range of potential stress- and vulnerability-related predictors was recorded at initial assessment. The strongest predictors of incidence were: high levels of preexisting psychopathology, a lack of coping skills, and a negative cognitive style. Assessing individual differences in stress and vulnerability thus seem to offer additional information about etiology of specific phobia beyond traditional learning theory. Incorporating the role of these risk factors may be useful for identifying individuals who are at increased risk and improving measures of prevention.
DOI: 10.15468/dl.sdme2r
title: Occurrence Download

description: A dataset containing 1257 species occurrences available in GBIF matching the query:
{
 "and" : [
 "OccurrenceStatus is Present",
 "TaxonKey is Carya myristiciformis (F.Michx.) Nutt."
 ]
}

 The dataset includes 1257 records from 109 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0017603-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.57702/ku3ts9yn
title: Informationen über schwere Wetterereignisse weltweit für den Supply Chain Radar

description: Die Severe Weather Information Centre (SWIC) der Weltorganisation für Meteorologie (WMO) bietet eine zentrale Anlaufstelle für Informationen über schwere Wetterereignisse weltweit. Die Plattform stellt aktuelle Warnungen, Vorhersagen und Daten zu extremen Wetterphänomenen wie Stürmen, Überschwemmungen und Hitzewellen bereit. Sie dient als Ressource für Entscheidungsträger, Notfalldienste und die Öffentlichkeit, um auf potenziell gefährliche Wetterlagen vorbereitet zu sein. SWIC fördert die Zusammenarbeit zwischen nationalen Wetterdiensten und unterstützt die Entwicklung von Strategien zur Risikominderung und Anpassung an den Klimawandel.
DOI: 10.15468/dl.pprbsb
title: Occurrence Download

description: A dataset containing 46 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Athamanta ramosissima Port., Athamanta verticillata Port., Athamantha ramosissima Port. ex Spreng., Athamantha ramosissima Port., Athamanta flavescens Vis., Seseli lucanum Barbaz., Athamanta javescens Vis., Seseli ramosissimum (Port. ex Spreng.) Ces., 1836, Portenschlagia ramosissima (Port.) Vis., Cuminum ramosissimum (Port.) Koso-Pol., Seseli ramosissimum (Port.) M.Hiroe, Portenschlagiella ramosissima (Port.) Tutin)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Year is greater than or equal to 2000"
 ]
}

 The dataset includes 46 records from 7 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0017604-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.57702/tn3yfxs7
title: Finanz-Daten für den Supply Chain Radar

description: Die Querschnittsforschergruppe "AFID" (Analyse von Finanzmärkten und Investitionen in Deutschland) des Deutschen Instituts für Wirtschaftsforschung (DIW) bietet umfassende Daten und Analysen zu Finanzmärkten und Investitionen. Die Plattform stellt wichtige statistische Informationen zur Verfügung, die Forschung und Politikberatung unterstützen. Nutzer können auf detaillierte Datensätze zugreifen, die Informationen über Finanzierungsquellen, Investitionsverhalten und Markttrends enthalten. Ziel ist es, die Transparenz und das Verständnis von Finanzmärkten zu erhöhen und evidenzbasierte Entscheidungen in der Wirtschaftspolitik zu fördern.
DOI: 10.23668/psycharchives.5097
title: Dataset for: Tell me what you see - Influence of empathy, mood and mood-change on emotion recognition in morphed faces

description: Dataset for: Zlobin, Jennifer & Martinelli, Anne. Tell me what you see - Influence of empathy, mood and mood-change on emotion recognition in morphed faces.
DOI: 10.15468/dl.qdev29
title: Occurrence Download

description: A dataset containing 6128 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Bromus hordeaceus L.",
 "Geometry POLYGON((-141 24, -53 24, -53 83, -141 83, -141 24))"
 ]
}

 The dataset includes 6128 records from 155 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0017605-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.23668/psycharchives.5099
title: Supplementary materials [Research data] to "Memories of who we are: A preliminary identification of autobiographical memory functions in recall of authentic and inauthentic events"

description: Supplementary materials [Research data] to: Sutton, A., & Render, J. (2021). Memories of who we are: A preliminary identification of autobiographical memory functions in recall of authentic and inauthentic events. Social Psychological Bulletin, 16(3), Article e6553. https://doi.org/10.32872/spb.6553
description: The datafile contains the word count and autobiographical memory function score for recall of authentic and inauthentic moments