cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15468/dl.b854tr
title: Occurrence Download

description: A dataset containing 1578 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Pinellia ternata (Thunb.) Breitenb."
 ]
}

 The dataset includes 1578 records from 98 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0042431-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.mctz8v
title: Occurrence Download

description: A dataset containing 534 species occurrences available in GBIF matching the query:
{
 "and" : [
 "OccurrenceStatus is Present",
 "TaxonKey is Gazella bennettii (Sykes, 1831)"
 ]
}

 The dataset includes 534 records from 18 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0042439-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.e5r5dw
title: Occurrence Download

description: A dataset containing 1 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Prorocentrum levis)",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 "HasGeospatialIssue is false",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Specimen)"
 ]
 }
 }
 ]
}

 The dataset includes 1 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0042440-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.13134154
title: Durmersheim Marien Apotheke

description: Historical questionnaire/s 1924/1948 and index cards, partly selected enclosures regarding the history of a German pharmacy, catalogued via Kalliope portal (Historischer Fragebogen 1924/1948 und Karteikarten, ggf. gemeinfreie Anlagen zur Apothekengeschichte; als Katalog dient das Nachlassportal Kalliope): https://kalliope-verbund.info/DE-611-BF-70963[Funktion: Im Findbuch anzeigen]Please note: The Kalliope catalogue entry might indicate related material in the archival folder which cannot be published due to copyright or other legal restrictions (NB: Das Katalogisat bei Kalliope kann auch auf Materialien - teils erheblichen Umfangs - verweisen, die aus archiv- oder urheberrechtlichen Gründen nicht veröffentlicht werden dürfen).
DOI: 10.15468/dl.ww2cap
title: Occurrence Download

description: A dataset containing 8 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Protocystis swerei O.Murray, 1950)",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 "HasGeospatialIssue is false",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Specimen)"
 ]
 }
 }
 ]
}

 The dataset includes 8 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0042441-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.a6dc7x
title: Occurrence Download

description: A dataset containing 8 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON ((-54.0671800000000005 82.8770800000000065, -51.0553799999999995 82.1831300000000056, -43.9520899999999983 82.7848900000000043, -46.9070600000000013 83.3668499999999995, -54.0671800000000005 82.8770800000000065))",
 "Continent is null"
 ]
}

 The dataset includes 8 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0042442-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.18150/cetc1u
title: Dataset for "Activities of (Poly)phenolic Antioxidants and Other Natural Autophagy Modulators in the Treatment of Sanfilippo Disease: Remarkable Efficacy of Resveratrol in Cellular and Animal Models"

description: Sanfilippo disease, caused by mutations in the genes encoding heparan sulfate (HS) (a glycosaminoglycan; GAG) degradation enzymes, is a mucopolysaccharidosis (MPS), which is also known as MPS type III, and is characterized by subtypes A, B, C, and D, depending on identity of the dysfunctional enzyme. The lack of activity or low residual activity of an HSdegrading enzyme leads to excess HS in the cells, impairing the functions of different types of cells, including neurons. The disease usually leads to serious psychomotor dysfunction and death before adulthood. In this work, we show that the use of molecules known as dietary (poly)phenolic antioxidants and other natural compounds known as autophagy activators (genistein, capsaicin, curcumin, resveratrol, trehalose, and calcitriol) leads to accelerated degradation of accumulated HS in the fibroblasts of all subtypes of MPS III. Both the cytotoxicity tests we performed and the available literature data indicated that the use of selected autophagy inducers was safe. Since it showed the highest effectivity in cellular models, resveratrol efficacy was tested in experiments with a mouse model of MPS IIIB. Urinary GAG levels were normalized in MPS IIIB mice treated with 50 mg/kg/day resveratrol for 12 weeks or longer. Behavioral tests indicated complete correction of hyperactivity and anxiety in these animals. Biochemical analyses indicated that administration of resveratrol caused autophagy stimulation through an mTOR-independent pathway in the brains and livers of the MPS IIIB mice. These results indicate the potential use of resveratrol (and possibly other autophagy stimulators) in the treatment of Sanfilippo disease.
DOI: 10.15468/dl.2varpg
title: Occurrence Download

description: A dataset containing 3 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Prunus tomentosa Thunb. ex A.Murray)",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 "HasGeospatialIssue is false",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Specimen)"
 ]
 }
 }
 ]
}

 The dataset includes 3 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0042443-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.34740/kaggle/dsv/9067065
title: World Stock Prices ( Daily Updating )
DOI: 10.15468/dl.wsrxdu
title: Occurrence Download

description: A dataset containing 1269 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Austria",
 "OccurrenceStatus is Present",
 "TaxonKey is Bufotes viridis (Laurenti, 1768)"
 ]
}

 The dataset includes 1269 records from 27 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0042445-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.s2r45x
title: Occurrence Download

description: A dataset containing 672 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Protocucujidae"
 ]
}

 The dataset includes 672 records from 18 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0042446-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ysyvmt
title: Occurrence Download

description: A dataset containing 1 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Pulmonaria)",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 "HasGeospatialIssue is false",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Specimen)"
 ]
 }
 }
 ]
}

 The dataset includes 1 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0042447-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.zb722f
title: Occurrence Download

description: A dataset containing 1830 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Issue is one of (Depth unlikely, Depth min max swapped, Depth non numeric, Depth not metric)",
 "TaxonKey is Nucula Lamarck, 1799"
 ]
}

 The dataset includes 1830 records from 8 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0042448-240626123714530/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.26404915
title: <b>Development and validation of a risk prediction model for preeclampsia at Debre Tabor Comprehensive Specialized Hospital, Northwest Ethiopia</b>

description: Preeclampsia is one of the leading causes of maternal and perinatal morbidity and mortality in low-resource settings, including Ethiopia. Systematic screening of preeclampsia is currently the focus of clinical attention. Therefore, a risk prediction model for preeclampsia can be developed based on easily available predictors. A retrospective cohort study was conducted at Debretabor Comprehensive Specialized Hospital among a total of 1100 pregnant women. A simplified risk prediction model was developed based on maternal characteristics using a binary logistic regression model and the model's performance was assessed by discrimination power and calibration. The internal validity of the model was evaluated by the bootstrapping technique. Decision curve analysis was used to determine the clinical impact of the model. Age&gt;35 years, primigravida, chronic hypertension, diabetes mellitus, multiple gestations, family history of preeclampsia and mean arterial pressure &gt;90 mmHg remained in the final multivariable prediction model. The discriminatory power of the model was 85.9% (95% CI=0.823, 0.895). This study explored the possibility of predicting preeclampsia using easily available maternal characteristics. Therefore, using this model could help identify preeclampsia, so it can be applied in clinical practice. We recommend that researchers externally validate the model and that clinicians use a risk prediction model.
DOI: 10.6084/m9.figshare.26404915.v1
title: <b>Development and validation of a risk prediction model for preeclampsia at Debre Tabor Comprehensive Specialized Hospital, Northwest Ethiopia</b>

description: Preeclampsia is one of the leading causes of maternal and perinatal morbidity and mortality in low-resource settings, including Ethiopia. Systematic screening of preeclampsia is currently the focus of clinical attention. Therefore, a risk prediction model for preeclampsia can be developed based on easily available predictors. A retrospective cohort study was conducted at Debretabor Comprehensive Specialized Hospital among a total of 1100 pregnant women. A simplified risk prediction model was developed based on maternal characteristics using a binary logistic regression model and the model's performance was assessed by discrimination power and calibration. The internal validity of the model was evaluated by the bootstrapping technique. Decision curve analysis was used to determine the clinical impact of the model. Age&gt;35 years, primigravida, chronic hypertension, diabetes mellitus, multiple gestations, family history of preeclampsia and mean arterial pressure &gt;90 mmHg remained in the final multivariable prediction model. The discriminatory power of the model was 85.9% (95% CI=0.823, 0.895). This study explored the possibility of predicting preeclampsia using easily available maternal characteristics. Therefore, using this model could help identify preeclampsia, so it can be applied in clinical practice. We recommend that researchers externally validate the model and that clinicians use a risk prediction model.
DOI: 10.15468/dl.amwucp
title: Occurrence Download

description: A dataset containing 5 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Pyropia koreana (M.S.Hwang & I.K.Lee) M.S.Hwang, H.G.Choi, Y.S.Oh & I.K.Lee)",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 "HasGeospatialIssue is false",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Specimen)"
 ]
 }
 }
 ]
}

 The dataset includes 5 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0042450-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.13134150
title: Extracts North Caucuses

description: Extracts of interviews from North Caucuses case study. Extracted using Atlas.ti software.
DOI: 10.5281/zenodo.13134151
title: Extracts North Caucuses

description: Extracts of interviews from North Caucuses case study. Extracted using Atlas.ti software.
DOI: 10.15468/dl.n68y7v
title: Occurrence Download

description: A dataset containing 8642 species occurrences available in GBIF matching the query:
{
 "and" : [
 "OccurrenceStatus is Present",
 "TaxonKey is Triplaris americana L."
 ]
}

 The dataset includes 8642 records from 319 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0042444-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.13134192
title: Dürrheim,Bad- Friedrich Apotheke

description: Historical questionnaire/s 1924/1948 and index cards, partly selected enclosures regarding the history of a German pharmacy, catalogued via Kalliope portal (Historischer Fragebogen 1924/1948 und Karteikarten, ggf. gemeinfreie Anlagen zur Apothekengeschichte; als Katalog dient das Nachlassportal Kalliope): https://kalliope-verbund.info/DE-611-BF-70963[Funktion: Im Findbuch anzeigen]Please note: The Kalliope catalogue entry might indicate related material in the archival folder which cannot be published due to copyright or other legal restrictions (NB: Das Katalogisat bei Kalliope kann auch auf Materialien - teils erheblichen Umfangs - verweisen, die aus archiv- oder urheberrechtlichen Gründen nicht veröffentlicht werden dürfen).
DOI: 10.5159/iqb_profel_ii_v1
title: Diagnose von und Umgang mit Schülerfehlern als Facette der professionellen Kompetenz von Lehrkräften (ProFeL II)
title: Diagnosis and Handling of Errors Patterns as a Facet of the Professional Competence of Teachers (ProFeL II)

description: Schüler*innen können von ihren Fehlern lernen. Hierzu müssen die Lehrkräfte in der Lage sein, Schüler*innenfehler zu diagnostizieren und mit ihnen lernwirksam umzugehen (professionelle Fehlerkompetenz (PFK)). Ziel der Studie war es, mithilfe eines Trainings die professionelle Fehlerkompetenz von Lehrkräften im Rechnungswesen zu verbessern. Dazu wurden ein fachwissenschaftliches und ein fachdidaktisches Training entwickelt und deren Wirksamkeit anhand mehrerer Interventionsstudien überprüft. Hierfür wurde ein quasi-experimentelles Design mit zwei Interventionsgruppen und einer Wartekontrollgruppe sowie einer Prä-, einer Post- und einer Follow-up-Untersuchung realisiert. Der Lernerfolg wurde mithilfe eines Wissenstests zum fachlichen und fachdidaktischen Wissen und anhand eines computerbasierten Videovignettentests zur Identifikation von Schüler*innenfehlern und zum Einsatz lernförderlicher Strategien im Umgang mit Schüler*innenfehlern erfasst. (Projekt/IQB)
description: Students can learn from their mistakes. Therefor teachers must be able to diagnose error patterns and deal with them effectively (professional error analysis). The aim of the study was to improve the professional error analysis of teachers in accounting through training. For this purpose, a pedagogical content knowledge training and a teaching methodology training were developed and their effectiveness has been verified of several intervention studies. The study was realized in a quasi-experimental design with two intervention groups and a waiting group as well as a pre-, post- and follow-up-investigation. The learning success was recorded by using a pedagogical content knowledge test, a teaching methodology test and a computer-based video vignette test to identify error patterns and to use strategies of learnability in dealing with error patterns. (IQB)
description: SelfAdministeredQuestionnaire
description: MeasurementsAndTests.Educational
description: Longitudinal.CohortEventBased
description: Quasi-Experimentelles Design
description: Quasi-Experimental Design
description: Referendare (Studie 1) (N=117);
Masterstudierende (Studie 2) (N=26)
Masterstudierende (Studie 3) (N=37);
description: Preservice Teachers (Study 1) (N=117);
Master Students (Study 2) (N=26);
Master Students (Study 3) (N=37)
description: Nicht-Wahrscheinlichkeitsauswahl: Willkürliche Auswahl
description: Non-Probability Sample: Availability Sample
description: Publikationsort: Berlin
description: Publication Place: Berlin
description: Erhebungseinheiten: Referendare; Studierende###
description: Survey Unit: Preservice Teachers; College Students###
description: Availability Type: Delivery
description: Beantragung nötig: https://www.iqb.hu-berlin.de/fdz/fdz/Datenzugang/SUF-Antrag/FormularSUFs
description: application required: https://www.iqb.hu-berlin.de/fdz/fdz/Datenzugang/SUF-Antrag/FormularSUFs
DOI: 10.15468/dl.6686h4
title: Occurrence Download

description: A dataset containing 5833 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Lathyrus angulatus L.",
 "HasCoordinate is true",
 "OccurrenceStatus is Present"
 ]
}

 The dataset includes 5833 records from 251 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0042452-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ggek67
title: Occurrence Download

description: A dataset containing 534 species occurrences available in GBIF matching the query:
{
 "and" : [
 "OccurrenceStatus is Present",
 "TaxonKey is Gazella bennettii (Sykes, 1831)"
 ]
}

 The dataset includes 534 records from 18 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0042453-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.cneu5w
title: Occurrence Download

description: A dataset containing 66 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Aechmea eurycorymbus Harms"
 ]
}

 The dataset includes 66 records from 26 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0042454-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.279yez
title: Occurrence Download

description: A dataset containing 846600 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is India",
 "DatasetKey is one of (iNaturalist Research-grade Observations, Dutch Foundation for Applied Water Research (STOWA) - Limnodata Neerlandica, Système d’évaluation de l’état des Eaux (SEEE) - Données hydrobiologiques sur l'état des eaux de surface - Système d’évaluation de l’état des Eaux (SEEE) - Diatomées, DEMNA-DNE : Occurrences of Diatoms (Bacillariophyceae) in running waters of Wallonia, Belgium, KiEco Freshwater Ecology: Diatoms, Southern Ocean Continuous Zooplankton Recorder (SO-CPR) Survey, International Barcode of Life project (iBOL), University of Michigan Museum of Zoology, Division of Insects, Objetos de conservación del Área Marina Costera Protegida de Múltiples Usos, Pitipalena-Añihue, Microalgal collection of National Museum of Nature and Science (TNS))"
 ]
}

 The dataset includes 846600 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0042426-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.13134206
title: Düssendorf Tonhallen Apotheke

description: Historical questionnaire/s 1924/1948 and index cards, partly selected enclosures regarding the history of a German pharmacy, catalogued via Kalliope portal (Historischer Fragebogen 1924/1948 und Karteikarten, ggf. gemeinfreie Anlagen zur Apothekengeschichte; als Katalog dient das Nachlassportal Kalliope): https://kalliope-verbund.info/DE-611-BF-70963[Funktion: Im Findbuch anzeigen]Please note: The Kalliope catalogue entry might indicate related material in the archival folder which cannot be published due to copyright or other legal restrictions (NB: Das Katalogisat bei Kalliope kann auch auf Materialien - teils erheblichen Umfangs - verweisen, die aus archiv- oder urheberrechtlichen Gründen nicht veröffentlicht werden dürfen).
DOI: 10.15468/dl.6y5qny
title: Occurrence Download

description: A dataset containing 16097 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Reynoutria ×bohemica Chrtek & Chrtková)",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 "HasGeospatialIssue is false",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Specimen)"
 ]
 }
 }
 ]
}

 The dataset includes 16097 records from 277 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0042451-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.a9n3rg
title: Occurrence Download

description: A dataset containing 35 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is one of (Observation, Machine Observation, Human Observation, Specimen, Living Specimen, Occurrence evidence)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Tunga penetrans Linnaeus, 1758"
 ]
}

 The dataset includes 35 records from 9 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0012036-241024112534372/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.24898467
title: Data on seasonally varying foliar nutrient concentrations in woody plants in China

description: We compiled a database of seasonally varying concentrations of nine foliar nutrients (N, P, K, Ca, Mg, Fe, Mn, Zn, and Cu) for woody plants in China based on a survey using the Web of Science (http://isiknowledge.com), Google Scholar (https://scholar.google.com), and China National Knowledge Infrastructure (http://www.cnki.net/). This database was used to assess the seasonality of foliar nutrient concentrations in woody plants in China, the results of which were published in the journal Ecology.
DOI: 10.6084/m9.figshare.24898467.v2
title: The seasonality of leaf nutrient concentration in Chinese woody plants

description: We compiled a database of seasonally varying concentrations of nine foliar nutrients (N, P, K, Ca, Mg, Fe, Mn, Zn, and Cu) for woody plants in China based on a survey using the Web of Science (http://isiknowledge.com), Google Scholar (https://scholar.google.com), and China National Knowledge Infrastructure (http://www.cnki.net/). This database supports the analysis of seasonal variation in leaf nutrient concentration of Chinese woody plants.
DOI: 10.15468/dl.fh2mmf
title: Occurrence Download

description: A dataset containing 323 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Uranotaenia unguiculata Edwards, 1913"
 ]
}

 The dataset includes 323 records from 7 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0012037-241024112534372/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5519/qd.qmbsqj3k
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (134 records)