cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15468/dl.53ukz5
title: Occurrence Download

description: A dataset listing the 43014 species recorded in GBIF matching the query:
{
 "and" : [
 "Country is Chile",
 "HasCoordinate is false"
 ]
}

 The dataset's 43014 records were derived from 1437 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0009202-241024112534372/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.exqxje
title: Occurrence Download

description: A dataset containing 71 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Aphidius smithi Sharma & Subba Rao, 1959",
 "HasCoordinate is true"
 ]
}

 The dataset includes 71 records from 7 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0006553-250402121839773/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.zqeerz
title: Occurrence Download

description: A dataset containing 1945 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Pteropus vampyrus (Linnaeus, 1758)",
 "Year 2010-2025"
 ]
}

 The dataset includes 1945 records from 10 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001042-250123221155621/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.j5pb9r
title: Occurrence Download

description: A dataset containing 226 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((-75.2976 -18.51036,-68.92068 -18.51036,-68.92068 -15.11968,-75.2976 -15.11968,-75.2976 -18.51036))",
 "HasGeospatialIssue is false",
 "TaxonKey is Systellura longirostris (Bonaparte, 1825)",
 "Year 2021-2025"
 ]
}

 The dataset includes 226 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001043-250123221155621/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.xprybx
title: Occurrence Download

description: A dataset containing 70639 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is one of (Machine Observation, Human Observation)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Tarentola mauritanica (Linnaeus, 1758)"
 ]
}

 The dataset includes 70639 records from 595 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0035575-240321170329656/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.988nyk
title: Occurrence Download

description: A dataset containing 77684 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Hottonia palustris L."
 ]
}

 The dataset includes 77684 records from 508 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001040-250123221155621/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.28270982
title: geni_di_interesse_MM_dopo_filtro.xlsx

description: Ulteriori geni potenzialmente interessanti sono stati reperiti utilizzando altre due risorse online. La prima è<b>cBioPortal</b>, accedendo alla pagina dedicata al mieloma multiplo (MM) al seguente link:https://www.cbioportal.org/study/summary?id=mm_broad. In questa sezione, selezionando la voce<i>Mutated Genes</i>, è possibile scaricare i dati relativi ai geni mutati come illustrato in figura d. La seconda risorsa è il portale<b>NIH</b>, accessibile tramite questo link:https://portal.gdc.cancer.gov/cases/c034d0c6-4806-44a9-a620-602409ce18f3. Scorrendo verso il basso nella pagina, si trova la sezione<i>Most Frequent Somatic Mutations</i>, da cui è possibile scaricare i dati relativi alle mutazioni somatiche più comuni nel MM cliccando sull'opzione<i>TSV</i>, come indicato in figura e<br><i>Figura d</i><br><br><i>Figura e</i><br>I file scaricati sono stati aperti con Excel e i dati sono stati organizzati in due colonne separate. Poiché il portale cBio riportava circa diecimila geni, è stato necessario applicare un filtro per ridurre il numero di geni, mantenendo un intervallo gestibile di alcune centinaia. Dopo un confronto con il relatore, si è deciso di considerare i geni con una frequenza minima del 2% per ridurre il nostro campione a solo 196 geni. Successivamente, i geni sono stati raggruppati in base alla loro origine, e si è proceduto a un confronto per identificare quali geni fossero presenti in tutte e tre le fonti (cBio, NIH e articoli scientifici), quali in due fonti e quali in una sola. Per una visione più dettagliata del lavoro svolto, si rimanda al file Excel incluso nel materiale supplementare.
DOI: 10.6084/m9.figshare.28270982.v1
title: geni_di_interesse_MM_dopo_filtro.xlsx

description: Ulteriori geni potenzialmente interessanti sono stati reperiti utilizzando altre due risorse online. La prima è<b>cBioPortal</b>, accedendo alla pagina dedicata al mieloma multiplo (MM) al seguente link:https://www.cbioportal.org/study/summary?id=mm_broad. In questa sezione, selezionando la voce<i>Mutated Genes</i>, è possibile scaricare i dati relativi ai geni mutati come illustrato in figura d. La seconda risorsa è il portale<b>NIH</b>, accessibile tramite questo link:https://portal.gdc.cancer.gov/cases/c034d0c6-4806-44a9-a620-602409ce18f3. Scorrendo verso il basso nella pagina, si trova la sezione<i>Most Frequent Somatic Mutations</i>, da cui è possibile scaricare i dati relativi alle mutazioni somatiche più comuni nel MM cliccando sull'opzione<i>TSV</i>, come indicato in figura e<br><i>Figura d</i><br><br><i>Figura e</i><br>I file scaricati sono stati aperti con Excel e i dati sono stati organizzati in due colonne separate. Poiché il portale cBio riportava circa diecimila geni, è stato necessario applicare un filtro per ridurre il numero di geni, mantenendo un intervallo gestibile di alcune centinaia. Dopo un confronto con il relatore, si è deciso di considerare i geni con una frequenza minima del 2% per ridurre il nostro campione a solo 196 geni. Successivamente, i geni sono stati raggruppati in base alla loro origine, e si è proceduto a un confronto per identificare quali geni fossero presenti in tutte e tre le fonti (cBio, NIH e articoli scientifici), quali in due fonti e quali in una sola. Per una visione più dettagliata del lavoro svolto, si rimanda al file Excel incluso nel materiale supplementare.
DOI: 10.15468/dl.d9wxjg
title: Occurrence Download

description: A dataset containing 20 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((-75.3981 -18.11792,-68.79806 -18.11792,-68.79806 -14.75371,-75.3981 -14.75371,-75.3981 -18.11792))",
 "HasGeospatialIssue is false",
 "TaxonKey is Systellura decussata (Tschudi, 1844)",
 "Year 2021-2025"
 ]
}

 The dataset includes 20 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001045-250123221155621/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.h5tmzq
title: Occurrence Download

description: A dataset containing 1663 species occurrences available in GBIF matching the query:
{
 "and" : [
 "GadmGid is PER.1.4_1",
 "TaxonKey is Mammalia"
 ]
}

 The dataset includes 1663 records from 12 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001047-250123221155621/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.zjjdqy
title: Occurrence Download

description: A dataset containing 1 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Chile",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Chlamydoselachus anguineus Garman, 1884"
 ]
}

 The dataset includes 1 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001046-250123221155621/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ryuny7
title: Occurrence Download

description: A dataset containing 1 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Chile",
 "TaxonKey is Echinorhinus cookei Pietschmann, 1928"
 ]
}

 The dataset includes 1 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001049-250123221155621/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/10571856
title: Namibia's Rangeland and Pasture Dataset
DOI: 10.15468/dl.c4d8zk
title: Occurrence Download

description: A dataset containing 38204 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Trichechus manatus Linnaeus, 1758"
 ]
}

 The dataset includes 38204 records from 143 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001051-250123221155621/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.hrmgtw
title: Occurrence Download

description: A dataset containing 57 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((-75.09867 -18.46258,-68.6245 -18.46258,-68.6245 -14.74078,-75.09867 -14.74078,-75.09867 -18.46258))",
 "HasGeospatialIssue is false",
 "TaxonKey is Streptoprocne zonaris (Shaw, 1796)",
 "Year 2021-2025"
 ]
}

 The dataset includes 57 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001055-250123221155621/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15151/esrf-es-1970940375
title: Structure of metalloproteins, membrane proteins, filamentous sarcomer proteins, and virus particles

description: Our work focusses on biological nitrogen fixation by Nitrogenase, on metalloenzymes and integral membrane proteins of bacterial and archaeal respiratory systems (Andrade/Einsle/Wohlwend), the working mechanism and regulation of medically relevant membrane proteins and complexes and their defects leading to pathologies (Hunte/Wirth), bacterial antibiotic resistance factors and viral and bacterial proteins bound to their targets or inhibitors, and their interactions with glycans (Stehle/Zocher), human S100 proteins involved in nutritional immunity, USP18 enforcing the endogenous antiviral interferon response, and the respiratory complex NQR of V. cholerae (Fritz), DNA Polymerases with artificial substrates (Betz), and on multi-domain components of the sarcomeric filamentous protein titin and their binding to the E3 ubiquitin ligase MuRF1 and the central myosin rod-domain (Mayans).
DOI: 10.25392/leicester.data.28264694
title: Network analysis of pottery from small towns in medieval southern and midland England

description: Dataset underpinning published network analysis of medieval pottery from small towns in Medieval England undertaken under the auspices of the ENDURE project. The dataset comprises:PDF Document summarising the methodology and datasetCSV File Nodes comprising the Node List for importation to network visualisation software (e.g. Gephi)CSV File Edges comprising the Edge List for importation to network visualisation software (e.g. Gephi)CSV File Pottery comprising a concordance of pottery types used in the analysisCSV File Sites containing a list of sites from small towns included within the datasetCSV File LargeTowns containing bibliographic details for contextual data from small towns incorporated into the dataset.Excel File Supp Materials containing each of these CSV files as a sheet
DOI: 10.25392/leicester.data.28264694.v1
title: Network analysis of pottery from small towns in medieval southern and midland England

description: Dataset underpinning published network analysis of medieval pottery from small towns in Medieval England undertaken under the auspices of the ENDURE project. The dataset comprises:PDF Document summarising the methodology and datasetCSV File Nodes comprising the Node List for importation to network visualisation software (e.g. Gephi)CSV File Edges comprising the Edge List for importation to network visualisation software (e.g. Gephi)CSV File Pottery comprising a concordance of pottery types used in the analysisCSV File Sites containing a list of sites from small towns included within the datasetCSV File LargeTowns containing bibliographic details for contextual data from small towns incorporated into the dataset.Excel File Supp Materials containing each of these CSV files as a sheet
DOI: 10.5281/zenodo.14733332
title: Theory of Correlated Insulators and Superconductor at ν = 1 in Twisted WSe2

description: In generating Fig.2, Fig.3 and Fig.4 in the main text, we used the data from part1_scan_E.tar.gz.

In generating Fig. S3 in the supplementary information, we used the data from part_vs_E.tar.gz.

In generating Fig. S4 in the supplementary information, we used the data from part1_scan_E_all_cluster.tar.gz
DOI: 10.5281/zenodo.14733333
title: Theory of Correlated Insulators and Superconductor at ν = 1 in Twisted WSe2

description: In generating Fig.2, Fig.3 and Fig.4 in the main text, we used the data from part1_scan_E.tar.gz.

In generating Fig. S3 in the supplementary information, we used the data from part_vs_E.tar.gz.

In generating Fig. S4 in the supplementary information, we used the data from part1_scan_E_all_cluster.tar.gz
DOI: 10.15468/dl.93wqaf
title: Occurrence Download

description: A dataset containing 7 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((-110.01063 -45.49604,-81.93565 -45.49604,-81.93565 -25.18079,-110.01063 -25.18079,-110.01063 -45.49604))",
 "HasGeospatialIssue is false",
 "TaxonKey is Squalus mitsukurii Jordan & Snyder, 1903"
 ]
}

 The dataset includes 7 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001056-250123221155621/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.26053224
title: Integrative Data Analysis Where Partial Covariates Have Complex Nonlinear Effects by Using Summary Information from an External Data

description: A full parametric and linear specification may be insufficient to capture complicated patterns in studies exploring complex features, such as those investigating age-related changes in brain functional abilities. Alternatively, a partially linear model (PLM) consisting of both parametric and nonparametric elements may have a better fit. This model has been widely applied in economics, environmental science, and biomedical studies. In this article, we introduce a novel statistical inference framework that equips PLM with high estimation efficiency by effectively synthesizing summary information from external data into the main analysis. Such an integrative scheme is versatile in assimilating various types of reduced models from the external study. The proposed method is shown to be theoretically valid and numerically convenient, and it ensures a high-efficiency gain compared to classic methods in PLM. Our method is further validated using two data applications by evaluating the risk factors of brain imaging measures and blood pressure.
DOI: 10.6084/m9.figshare.26053224.v2
title: Integrative Data Analysis Where Partial Covariates Have Complex Nonlinear Effects by Using Summary Information from an External Data

description: A full parametric and linear specification may be insufficient to capture complicated patterns in studies exploring complex features, such as those investigating age-related changes in brain functional abilities. Alternatively, a partially linear model (PLM) consisting of both parametric and nonparametric elements may have a better fit. This model has been widely applied in economics, environmental science, and biomedical studies. In this article, we introduce a novel statistical inference framework that equips PLM with high estimation efficiency by effectively synthesizing summary information from external data into the main analysis. Such an integrative scheme is versatile in assimilating various types of reduced models from the external study. The proposed method is shown to be theoretically valid and numerically convenient, and it ensures a high-efficiency gain compared to classic methods in PLM. Our method is further validated using two data applications by evaluating the risk factors of brain imaging measures and blood pressure.
DOI: 10.15468/dl.5u2j8k
title: Occurrence Download

description: A dataset containing 104 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((-75.14488 -18.45728,-69.07069 -18.45728,-69.07069 -14.48669,-75.14488 -14.48669,-75.14488 -18.45728))",
 "HasGeospatialIssue is false",
 "TaxonKey is Chaetura pelagica (Linnaeus, 1758)",
 "Year 2021-2025"
 ]
}

 The dataset includes 104 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001057-250123221155621/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.25913293
title: Sequential Monitoring Using the Second Generation P-Value with Type I Error Controlled by Monitoring Frequency

description: The Second Generation P-Value (SGPV) measures the overlap between an estimated interval and a composite hypothesis of parameter values. We develop a sequential monitoring scheme of the SGPV (SeqSGPV) to connect study design intentions with end-of-study inference anchored on scientific relevance. We build upon Freedman’s “Region of Equivalence” (ROE) in specifying scientifically meaningful hypotheses called Pre-specified Regions Indicating Scientific Merit (PRISM). We compare PRISM monitoring versus monitoring alternative ROE specifications. Error rates are controlled through the PRISM’s indifference zone around the point null and monitoring frequency strategies. Because the former is fixed due to scientific relevance, the latter is a targettable means for designing studies with desirable operating characters. An affirmation step to stopping rules improves frequency properties including the error rate, the risk of reversing conclusions under delayed outcomes, and bias.
DOI: 10.6084/m9.figshare.25913293.v2
title: Sequential Monitoring Using the Second Generation P-Value with Type I Error Controlled by Monitoring Frequency

description: The Second Generation P-Value (SGPV) measures the overlap between an estimated interval and a composite hypothesis of parameter values. We develop a sequential monitoring scheme of the SGPV (SeqSGPV) to connect study design intentions with end-of-study inference anchored on scientific relevance. We build upon Freedman’s “Region of Equivalence” (ROE) in specifying scientifically meaningful hypotheses called Pre-specified Regions Indicating Scientific Merit (PRISM). We compare PRISM monitoring versus monitoring alternative ROE specifications. Error rates are controlled through the PRISM’s indifference zone around the point null and monitoring frequency strategies. Because the former is fixed due to scientific relevance, the latter is a targettable means for designing studies with desirable operating characters. An affirmation step to stopping rules improves frequency properties including the error rate, the risk of reversing conclusions under delayed outcomes, and bias.
DOI: 10.6084/m9.figshare.26053224.v1
title: Integrative data analysis where partial covariates have complex non-linear effects by using summary information from an external data

description: A full parametric and linear specification may be insufficient to capture complicated patterns in studies exploring complex features, such as those investigating age-related changes in brain functional abilities. Alternatively, a partially linear model (PLM) consisting of both parametric and non-parametric elements may have a better fit. This model has been widely applied in economics, environmental science, and biomedical studies. In this paper, we introduce a novel statistical inference framework that equips PLM with high estimation efficiency by effectively synthesizing summary information from external data into the main analysis. Such an integrative scheme is versatile in assimilating various types of reduced models from the external study. The proposed method is shown to be theoretically valid and numerically convenient, and it ensures a high-efficiency gain compared to classic methods in PLM. Our method is further validated using two data applications by evaluating the risk factors of brain imaging measures and blood pressure.
DOI: 10.6084/m9.figshare.26139517
title: A Multi-Method Data Science Pipeline for Analyzing Police Service

description: Despite the fact that most police departments in the U.S. serve jurisdictions with fewer than 10,000 residents, policing practices in small towns are understudied. This is due in part to data limitations and technological barriers that exist in the small-town context. In this article we focus on one small town police department in New England with a history of misconduct, and develop a comprehensive data science pipeline that addresses the stages from design and collection to reporting. We present the reader with specific tools in the open-source Python ecosystem for replicating this pipeline. Once these data are processed, we perform two statistical analyses in an attempt to better understand the provisions of service by the small-town police department of focus. First, we perform ecological inference to estimate the rate at which residents are placing calls for service. Second, we model wait times using a negative binomal regression model to account for overdispersion in the data. We discuss data and model limitations arising through the pipeline creation and analysis process.
DOI: 10.6084/m9.figshare.26139517.v1
title: A Multi-Method Data Science Pipeline for Analyzing Police Service

description: Despite the fact that most police departments in the U.S. serve jurisdictions with fewer than 10,000 residents, policing practices in small towns are understudied. This is due in part to data limitations and technological barriers that exist in the small-town context. In this article we focus on one small town police department in New England with a history of misconduct, and develop a comprehensive data science pipeline that addresses the stages from design and collection to reporting. We present the reader with specific tools in the open-source Python ecosystem for replicating this pipeline. Once these data are processed, we perform two statistical analyses in an attempt to better understand the provisions of service by the small-town police department of focus. First, we perform ecological inference to estimate the rate at which residents are placing calls for service. Second, we model wait times using a negative binomal regression model to account for overdispersion in the data. We discuss data and model limitations arising through the pipeline creation and analysis process.