cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.23668/psycharchives.14142
title: Replication dataset for: Religion, spirituality, and susceptibility to conspiracy theories: Examining the role of analytic thinking and post-critical beliefs

description: The COVID-19 pandemic has increased the political and scholarly attention on conspiracy theories. Among other predictors, religious and spiritual influences on conspiracy beliefs have been widely discussed in the literature. We suggest analyzing the relationship between religion and spirituality on the one hand and conspiracy beliefs on the other hand from the perspective of religious information processing. Based on the Post-Critical Beliefs Scale (PCBS), we argue that literal interpretations of religious information are positively associated with conspiracy beliefs. Furthermore, we assume that individual differences in analytic cognitive style account for the relationship between religious attitudes, spirituality, and conspiracism. Using a quota sample of German adults, we find that literal interpretations of religious content positively correlate with conspiracy beliefs for the literal affirmation of transcendence (e.g., orthodoxy) and the literal disaffirmation of transcendence (e.g., atheism). These findings suggest that religious information processing is related to conspiracy beliefs for religious and nonreligious individuals. Moreover, our results show a stable association between holistic spirituality and conspiracy beliefs. The relationships between different types of religious attitudes, spirituality, and conspiracy beliefs hold, even after accounting for analytic (versus intuitive) thinking. The implications for the study of religious attitudes and conspiracy beliefs are discussed.
description: Datset for: Jedinger, A., & Siegers, P. (2024). Religion, spirituality, and susceptibility to conspiracy theories: examining the role of analytic thinking and post-critical beliefs. Politics and Religion, 1–21. https://doi.org/10.1017/S1755048324000130
description: Dataset and codebook
DOI: 10.15468/dl.fgqp25
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 },
 "TaxonKey is one of (Oreocharis jasminina S.J.Ling, F.Wen & M.X.Ren)"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0032792-241107131044228/datasets/export for details.
DOI: 10.6084/m9.figshare.26068438.v5
title: Precision Oncology, Signaling Pathways Reprogramming and Targeted Therapy: A Holistic Approach to Molecular Cancer Therapeutics

description: The TCGA Research Network started in 2005 has profiled and analyzed a large number of human tumors to discover molecular aberrations at the DNA, RNA, protein, and epigenetic levels and thereby provided reliable diagnostic and prognostic biomarkers for different cancer types since then. The presence of mutated genes is strongly correlated with cancer incidence, very specific causative genes or a small set of genes for most cancers have not been confirmed after decades of genomic studies. Nobel laureate James D. Watson opined at Cancer World 2013: "We can go ahead and sequence every piece of DNA that has ever existed, but I don't think we'll find the Achilles heel of cancer. Importantly,, it is not only necessary to associate genetic mutations with different cancers but also to work on the mechanism of action of mutagens by focusing on enzymes which could invariably mediate oncogenic transformations. For example, overexpression of the ribonucleotide reductase (RnR) enzyme which catalyzes the formation of deoxyribonucleotides from ribonucleotides necessary for cell division, is implicated in many forms of cancer and the genes for the components of the enzyme are often mutated, leading to hyperactivity of the enzyme. But there are instances indicating that cytoplasmic material rather than the karyoplast would be responsible for cellular transformation that might be better explained as a consequence of certain epigenetic modulation than purely genetic changes. .RnR active site inhibitors have been developed accordingly to biophysically deactivate the enzyme when necessary, with positive results A comprehensive analysis of tumors based on their genomic studies must reveal the alterations in signaling pathways indicating patterns of vulnerabilities and the means to identify prospective targets for the development of personalized treatments and new combination therapies. In this regard, the Cancer Cell Map Initiative (CCMI), launched in 2015 by researchers at the University of California, San Francisco and the University of California, San Diego, allowed researchers to determine how hundreds of genetic mutations involved in a few types of cancer affect the activity of certain crucial proteins which ultimately lead to the manifestation of cancer. As there is a large amount of sequence data from many different cancer types, efforts are being made to extract mechanistic insights from the available information, requiring an integrated computational and experimental strategy that will help place these alterations in the higher order contexts of signaling mechanisms in cancer cells. This is the defined goal of the CCMI and has the potential to create a resource that can be used for cancer genome interpretation, enabling the identification of key complexes and pathways to better understand the biology underlying different cancer types and conditions for precise treatment of the disease.
DOI: 10.6084/m9.figshare.26068438.v4
title: Precision Oncology, Signaling Pathways Reprogramming and Targeted Therapy: A Holistic Approach to Molecular Cancer Therapeutics

description: The TCGA Research Network started in 2005 has profiled and analyzed a large number of human tumors to discover molecular aberrations at the DNA, RNA, protein, and epigenetic levels and thereby provided reliable diagnostic and prognostic biomarkers for different cancer types since then.The presence of mutated genes is strongly correlated with cancer incidence, very specific causative genes or a small set of genes for most cancers have not been confirmed after decades of genomic studies. Nobel laureate James D. Watson opined at Cancer World 2013: "We can go ahead and sequence every piece of DNA that has ever existed, but I don't think we'll find the Achilles heel of cancer. Importantly,, it is not only necessary to associate genetic mutations with different cancers but also to work on the mechanism of action of mutagens by focusing on enzymes which could invariably mediate oncogenic transformations. For example, overexpression of the ribonucleotide reductase (RnR) enzyme which catalyzes the formation of deoxyribonucleotides from ribonucleotides necessary for cell division, is implicated in many forms of cancer and the genes for the components of the enzyme are often mutated, leading to hyperactivity of the enzyme. But there are instances indicating that cytoplasmic material rather than the karyoplast would be responsible for cellular transformation that might be better explained as a consequence of certain epigenetic modulation than purely genetic changes. .RnR active site inhibitors have been developed accordingly to biophysically deactivate the enzyme when necessary, with positive results A comprehensive analysis of tumors based on their genomic studies must reveal the alterations in signaling pathways indicating patterns of vulnerabilities and the means to identify prospective targets for the development of personalized treatments and new combination therapies. In this regard, the Cancer Cell Map Initiative (CCMI), launched in 2015 by researchers at the University of California, San Francisco and the University of California, San Diego, allowed researchers to determine how hundreds of genetic mutations involved in a few types of cancer affect the activity of certain crucial proteins which ultimately lead to the manifestation of cancer. As there is a large amount of sequence data from many different cancer types, efforts are being made to extract mechanistic insights from the available information, requiring an integrated computational and experimental strategy that will help place these alterations in the higher order contexts of signaling mechanisms in cancer cells. This is the defined goal of the CCMI and has the potential to create a resource that can be used for cancer genome interpretation, enabling the identification of key complexes and pathways to better understand the biology underlying different cancer types and conditions for precise treatment of the disease.
DOI: 10.15468/dl.ha4t3t
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 },
 "TaxonKey is one of (Primulina glandulosa (D.Fang, L.Zeng & D.H.Qin) Yin Z.Wang)"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0032793-241107131044228/datasets/export for details.
DOI: 10.23668/psycharchives.14147
title: Dataset and codebook for the article "Dysfunctional attributions of success as a distinct feature of amotivation"

description: Dataset and codebook for the article "Dysfunctional attributions of success as a distinct feature of amotivation" (https://doi.org/10.1038/s41537-024-00441-9)
DOI: 10.15468/dl.dcapcf
title: Occurrence Download

description: A dataset containing 377 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((9.17732 45.42262,9.4958 45.42262,9.4958 45.71204,9.17732 45.71204,9.17732 45.42262))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Carabidae"
 ]
}

 The dataset includes 377 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0032794-241107131044228/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.13731770
title: Ultra-high Resolution Land Use Data Set of Typical Villages in Northeastern Tibetan Plateau

description: This dataset was collected by a research team during a field investigation in the Hehuang Valley of Qinghai Province from July to August 2022. Using the DJI Mavic2pro equipped with a Hasselblad L1D-20c camera, 55 typical villages were selected in the Hehuang Valley and over 4600 aerial photographs were obtained using drone photogrammetry technology as raw data. Using AgisfphotoScan 1.25 software to synthesize orthophoto images with a spatial resolution of 0.05m. The vector data of human settlement boundaries in villages was extracted through visual interpretation. Based on the object-oriented human-machine interaction interpretation method, 55 typical village land use datasets in 2022 were obtained (including forests, grasslands, forest land, cultivated land, water bodies, roads, unused land, and building land, totaling 8 categories). By establishing 1050 sample points and using confusion matrix analysis, it was found that the overall accuracy of the dataset was 96.86%, with a Kappa coefficient of 0.95. It can accurately reflect the spatial form, land use composition, and surrounding environment of typical villages. Aerial photographs all have longitude, latitude, and altitude information, providing ultra-high resolution data sources for village spatial structure analysis, land use mapping, and analysis work, effectively assisting in the improvement of human housing and rural revitalization strategies.
DOI: 10.5281/zenodo.13732109
title: Ultra-high Resolution Land Use Data Set of Typical Villages in Northeastern Tibetan Plateau

description: This dataset was collected by a research team during a field investigation in the Hehuang Valley of Qinghai Province from July to August 2022. Using the DJI Mavic2pro equipped with a Hasselblad L1D-20c camera, 55 typical villages were selected in the Hehuang Valley and over 4600 aerial photographs were obtained using drone photogrammetry technology as raw data. Using AgisfphotoScan 1.25 software to synthesize orthophoto images with a spatial resolution of 0.05m. The vector data of human settlement boundaries in villages was extracted through visual interpretation. Based on the object-oriented human-machine interaction interpretation method, 55 typical village land use datasets in 2022 were obtained (including forests, grasslands, forest land, cultivated land, water bodies, roads, unused land, and building land, totaling 8 categories). By establishing 1050 sample points and using confusion matrix analysis, it was found that the overall accuracy of the dataset was 96.86%, with a Kappa coefficient of 0.95. It can accurately reflect the spatial form, land use composition, and surrounding environment of typical villages. Aerial photographs all have longitude, latitude, and altitude information, providing ultra-high resolution data sources for village spatial structure analysis, land use mapping, and analysis work, effectively assisting in the improvement of human housing and rural revitalization strategies.
DOI: 10.15468/dl.65yfze
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 },
 "TaxonKey is one of (Primulina gongchengensis Y.S.Huang & Yan Liu)"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0032795-241107131044228/datasets/export for details.
DOI: 10.15468/dl.a6p96k
title: Occurrence Download

description: A dataset containing 6 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 },
 "TaxonKey is one of (Oreocharis jiangxiensis (W.T.Wang) Mich.Möller & A.Weber)"
 ]
}

 The dataset includes 6 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0032796-241107131044228/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/bxc8pe
title: Mediterranean Germplasm Genebank - Hordeum dataset (ITA436-MGG-Hordeum)

description: The dataset contains about 2000 accessions of several species of Hordeum (barley) from the Mediterranean Germplasm seed bank in Bari (Italy). Seeds have been collected by the personnel of CNR-IBBR throughout the Mediterranean Basin (Spain, Italy, Greece, Cyprus, Morocco, Algeria, Tunisia, Egypt, etc.), middle East (Syria, Yemen, Iraq, Iran, etc.), and Eastern Africa (Ethiopia), but also provenances from Asia (India, Nepal, etc.) are included. Seeds are maintained in sealed cans at -20 °C (long-term storage) and paper bags at 4 °C (short-term storage), and periodically checked for germination and refreshed. Seed lots are available upon request at https://ibbr.cnr.it/mgd/ or by contacting mgd.staff@ibbr.cnr.it.
DOI: 10.5281/zenodo.11517559
title: Supplementary digital data for Exposure of Insects to Current Use Pesticide Residues in Soil and Vegetation along Spatial and Temporal Distribution in Agricultural Sites
DOI: 10.5281/zenodo.11517560
title: Supplementary digital data for Exposure of Insects to Current Use Pesticide Residues in Soil and Vegetation along Spatial and Temporal Distribution in Agricultural Sites
DOI: 10.71687/avid.ksa.55
title: KMD Elev (2011-2015)

description: KMD Elev løser de administrative opgaver, der er omkring elevernes stam- og undervisningsoplysninger, samt de administrative opgaver der er med undervisningspligten, adressekontrol, plejebørn/udenbys børn, skoleregister, aktuelt elevtal, skoleindskrivning, skolebestyrelsesvalg, transport/buskort, søskendeoplysninger, forældreoplysninger, elevernes fravær, handleplan, skolefritidsordning, klasseoprykning, prøveafvikling samt ungdomsskoletilbud.

Indhold:
Systemet indeholder følgende hovedfunktioner: 1) Registrering af elevernes stam- og undervisningsoplysninger, 2) Registrering af standpunktskarakterer samt karakterer fra afgangsprøver, og 3) Registrering af oplysninger om skolerne.
DOI: 10.15468/dl.eqrdap
title: Occurrence Download

description: A dataset containing 162 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Catathyridium jenynsii (Günther, 1862)",
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 },
 {
 "or" : [
 "CoordinateUncertaintyInMeters is less than 10000",
 "CoordinateUncertaintyInMeters is null"
 ]
 }
 ]
}

 The dataset includes 162 records from 26 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003182-250218110819086/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.57745/3iq60q
title: 1List-of-substances_DATASET.xlsx

description: "List of substances" dataset: This dataset contains identification details (name, CAS number, French SANDRE code and family) and monitoring information of the 1,751 candidates substances selected for the study.
DOI: 10.57745/6djind
title: 1List-of-substances_DATASET.xlsx

description: "List of substances" dataset: This dataset contains identification details (name, CAS number, French SANDRE code and family) and monitoring information of the 1,751 candidates substances selected for the study.
DOI: 10.57745/bebmey
title: 1List-of-substances_DICTIONARY.xlsx

description: Dictionary of the "List of substances" dataset
DOI: 10.57745/bwq8hc
title: 3Quantification-frequencies_DATASET.xlsx

description: "Quantification frequencies" dataset: This dataset contains 9,467 QF data for 1,633 candidate substances. These data come from French water agencies’ gammarus monitoring over the period 2020-2022 and from 132 studies on biota (crustaceans, molluscs, other invertebrates and fish) and sediment in fresh, transitional and marine waters over the period 2013-2022. For each QF data, the following information is provided: name of the substance, characteristics of the study (geographical scale, location, water type, number of sites, temporal scale, number of samples and matrix analysed), limit of quantification, method of analysis and study reference.
DOI: 10.57745/mx7xct
title: 3Quantification-frequencies_DICTIONARY.xlsx

description: Dictionary of the "Quantification frequencies" dataset
DOI: 10.57745/raosya
title: 2Substance-characteristics_DICTIONARY.xlsx

description: Dictionary of the "Substance characteristics" dataset
DOI: 10.57745/uyyyvl
title: 3Quantification-frequencies_DATASET.xlsx

description: "Quantification frequencies" dataset: This dataset contains 9,467 QF data for 1,633 candidate substances. These data come from French water agencies’ gammarus monitoring over the period 2020-2022 and from 132 studies on biota (crustaceans, molluscs, other invertebrates and fish) and sediment in fresh, transitional and marine waters over the period 2013-2022. For each QF data, the following information is provided: name of the substance, characteristics of the study (geographical scale, location, water type, number of sites, temporal scale, number of samples and matrix analysed), limit of quantification, method of analysis and study reference.
DOI: 10.57745/vlxo1i
title: 2Substance-characteristics_DATASET.xlsx

description: "Substance characteristics" dataset: This dataset includes physico-chemical parameters (octanol/water partition coefficient, organic carbon/water partition coefficient, half-life of the substance through biodegradation, half-life of biotransformation in fish and bioconcentration factor) and Predicted No Effect Concentration (PNEC) values of the 1,751 candidate substances.
DOI: 10.18150/ca5lwb
title: Studenci teologii wobec sztucznej inteligencji

description: Badanie ankietowe „Studenci teologii wobec sztucznej inteligencji” zostało przeprowadzone pośród studentów studiów magisterskich na kierunku Teologia na Wydziale Teologii Grekokatolickiej Uniwersytetu Preszowskiego w Preszowie na Słowacji w dniu 21 listopada 2024. Ankieta została przeprowadzona w formie elektronicznej. Studenci podczas zajęć skanowali kod QR, by uzyskać dostęp do ankiety. Ankietowani udzielali odpowiedzi na pytania otwarte w języku słowackim.Całość ankiety zawierała 32 pytania ułożone w dwa zestawy. Pośród nich były pytania zamknięte, otwarte oraz jedno z użyciem skali. Pierwsze pytanie filtrujące przekierowywało ankietowanych do odpowiedniego zestawu. Zestaw pierwszy, dla korzystających ze sztucznej inteligencji, zawierał od 15 do 20 pytań, w zależności od udzielanych kolejnych odpowiedzi. Zestaw drugi, dla niekorzystających ze sztucznej inteligencji zawierał od 7 do 11 pytań, w zależności od udzielanych kolejnych odpowiedzi. Zestaw pytań dla korzystających ze sztucznej inteligencji podzielony był na cztery moduły. Moduł pierwszy dotyczył sposobów i celów korzystania z AI. Moduł drugi dotyczył kwestii moralnych i wpływy AI na osobiste życie ankietowanych. Moduł trzeci dotyczył wspływu AI na życie społeczeństwa. Moduł czwarty poruszał zagadnienie wpływy AI na życie religijne. Zestaw pytań dla niekorzystających z AI podzielony był na dwa moduły. Pierwszy dotyczył przyczyn niekorzystania z AI oraz poruszał zagadnienie oceny wpływu sztucznej inteligencji na życie społeczne. Drugi moduł poruszał zagadnienie oceny wpływy AI na życie religijne.Do udziału w badaniu zaproszeni zostali wszyscy studenci teologii. W zajęciach, podczas których przeprowadzono badanie, wzięło udział 27 osób, z czego 24 wypełniły ankietę, co daje stopę zwrotu 88,89%.Badanie jest częścią projektu "Religia i Kościół w dobie sztucznej inteligencji" realizowanego przez międzynarodowy zespół pod kierunkiem dra. hab. Michała Wyrostkiewicza (prof. KUL). W skład zespołu weszli: dr Wojciech Wciseł i dr Wojciech Suchowierz z Katolickiego Uniwersytetu Lubelskiego Jana Pawła II oraz prof. dr hab. Marek Petro i dr Wjciech Iwanicki z Uniwersytetu Preszowskiego.Oryginalnym językiem ankiety był język słowacki, dlatego dane w pliku są w tym języku. W niedługiej przyszłości planowane jest tłumaczenie na języki polski i angielski na potrzeby przygotowywanych publikacji.
DOI: 10.15468/dl.z7rn2r
title: Occurrence Download

description: A dataset containing 1609 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((-24.40349 62.83136,-12.48238 62.83136,-12.48238 66.8716,-24.40349 66.8716,-24.40349 62.83136))",
 "HasGeospatialIssue is false",
 "TaxonKey is Lupinus nootkatensis Donn ex Sims",
 "Year 2000-2025"
 ]
}

 The dataset includes 1609 records from 12 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003183-250218110819086/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.5sufxb
title: Occurrence Download

description: A dataset containing 1621 species occurrences available in GBIF matching the query:
{
 "and" : [
 "GadmGid is DEU.3_1",
 "OccurrenceStatus is Present",
 "TaxonKey is Vanessa atalanta (Linnaeus, 1758)"
 ]
}

 The dataset includes 1621 records from 9 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003185-250218110819086/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.