cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.3886/icpsr24157.v2
title: Federal Justice Statistics Program: Suspects in Federal Criminal Matters, 2003 [United States]
title: Version 2

description: The data contain records of suspects in federal criminal matters received by United States attorneys or filed before the United States magistrates during fiscal year 2003. The data were constructed from the Executive Office for United States Attorneys (EOUSA) Central System file. Records include suspects in criminal matters, and are limited to suspects whose matters were not declined immediately by the United States attorneys. According to the EOUSA, the United States attorneys conduct approximately 95 percent of the prosecutions handled by the Department of Justice. The Central System data contain variables from the original EOUSA files as well as additional analysis variables, or "SAF" variables, that denote subsets of the data. These SAF variables are related to statistics reported in the Compendium of Federal Justice Statistics, Table 1.1. Variables containing identifying information (e.g., name, Social Security Number) were replaced with blanks, and the day portions of date fields were also sanitized in order to protect the identities of individuals. These data are part of a series designed by the Urban Institute (Washington, DC) and the Bureau of Justice Statistics. Data and documentation were prepared by the Urban Institute.
description: Datasets: DS1: Federal Justice Statistics Program: Suspects in Federal Criminal Matters, 2003 [United States]
description: Suspects in federal criminal matters received by United States attorneys or filed before United States magistrates during fiscal year 2003.
DOI: 10.3886/icpsr24157
title: Federal Justice Statistics Program: Suspects in Federal Criminal Matters, 2003 [United States]
title: Archival Version

description: The data contain records of suspects in federal criminal matters received by United States attorneys or filed before the United States magistrates during fiscal year 2003. The data were constructed from the Executive Office for United States Attorneys (EOUSA) Central System file. Records include suspects in criminal matters, and are limited to suspects whose matters were not declined immediately by the United States attorneys. According to the EOUSA, the United States attorneys conduct approximately 95 percent of the prosecutions handled by the Department of Justice. The Central System data contain variables from the original EOUSA files as well as additional analysis variables, or "SAF" variables, that denote subsets of the data. These SAF variables are related to statistics reported in the Compendium of Federal Justice Statistics, Table 1.1. Variables containing identifying information (e.g., name, Social Security Number) were replaced with blanks, and the day portions of date fields were also sanitized in order to protect the identities of individuals. These data are part of a series designed by the Urban Institute (Washington, DC) and the Bureau of Justice Statistics. Data and documentation were prepared by the Urban Institute.
description: Datasets: DS1: Federal Justice Statistics Program: Suspects in Federal Criminal Matters, 2003 [United States]
description: Suspects in federal criminal matters received by United States attorneys or filed before United States magistrates during fiscal year 2003.
DOI: 10.6084/m9.figshare.22333204
title: DGRP Mapping All Lines Day 5

description: This is DGRP mapping for 5 days post infection all lines included - output from DGRP website.
DOI: 10.6084/m9.figshare.22333204.v1
title: DGRP Mapping All Lines Day 5

description: This is DGRP mapping for 5 days post infection all lines included - output from DGRP website.
DOI: 10.5281/zenodo.7767681
title: Supporting material for PyESDv1.0.1 An open-source Python framework for empirical-statistical downscaling of climate information

description: The nature and severity of climate change impacts varies significantly from region to region. Consequently, high-resolution climate information is needed for meaningful impact assessments and the design of mitigation strategies. This demand has led to an increase in the coupling of Empirical Statistical Downscaling (ESD) models to General Circulation Model (GCM) simulations of future climate. Here, we present a new open-source Python package (<em>pyESD; </em>github.com/Dan-Boat/PyESD) that implements several Perfect Prognosis ESD (PP-ESD) methods and the whole downscaling cycle. The latter includes routines for data preparation, predictor selection and construction, model selection and training, evaluation, utility tools for relevant statistical tests, visualization, and more. The package includes a collection of well-established Machine Learning algorithms and allows the user to choose a variety of estimators, cross-validation schemes, objective function measures, hyperparameter optimization, etc., in relatively few lines of code. The package is highly modular and flexible and allows quick and reproducible downscaling of any climate information, such as precipitation, temperature, wind speed, or even glacial retreat. The dataset presented here serves as supporting material for the package description and evaluation manuscript
DOI: 10.5281/zenodo.7767680
title: Supporting material for PyESDv1.0.1 An open-source Python framework for empirical-statistical downscaling of climate information

description: The nature and severity of climate change impacts varies significantly from region to region. Consequently, high-resolution climate information is needed for meaningful impact assessments and the design of mitigation strategies. This demand has led to an increase in the coupling of Empirical Statistical Downscaling (ESD) models to General Circulation Model (GCM) simulations of future climate. Here, we present a new open-source Python package (<em>pyESD; </em>github.com/Dan-Boat/PyESD) that implements several Perfect Prognosis ESD (PP-ESD) methods and the whole downscaling cycle. The latter includes routines for data preparation, predictor selection and construction, model selection and training, evaluation, utility tools for relevant statistical tests, visualization, and more. The package includes a collection of well-established Machine Learning algorithms and allows the user to choose a variety of estimators, cross-validation schemes, objective function measures, hyperparameter optimization, etc., in relatively few lines of code. The package is highly modular and flexible and allows quick and reproducible downscaling of any climate information, such as precipitation, temperature, wind speed, or even glacial retreat. The dataset presented here serves as supporting material for the package description and evaluation manuscript
DOI: 10.6084/m9.figshare.22333120
title: PONE-D-22-29695: Responses to visual survey and questionnaire and field data

description: Dataset from paper <em>Social perception of mesocarnivores within hunting areas differs from actual species abundance</em> PONE-D-22-29695 Information obtained conducting visual survey and questionnaire. Field data. <br>
DOI: 10.6084/m9.figshare.22333120.v3
title: PONE-D-22-29695: Responses to visual survey and questionnaire and field data

description: Dataset from paper <em>Social perception of mesocarnivores within hunting areas differs from actual species abundance</em> PONE-D-22-29695 Information obtained conducting visual survey and questionnaire. Field data. <br>
DOI: 10.6084/m9.figshare.22333120.v2
title: PONE-D-2229695: Responses to visual survey and questionnaire and field data

description: PONE-D-2229695 Information obtained conducting visual survey and questionnaire. Field data. <br>
DOI: 10.3886/icpsr24022.v2
title: Federal Justice Statistics Program: Criminal Appeals Cases Filed in Courts of Appeals, 1997 [United States]
title: Version 2

description: The data contain records of criminal appeals cases filed in United States Courts of Appeals during fiscal year 1997. The data were constructed from the Administrative Office of the United States Courts' (AOUSC) Court of Appeals file. These contain variables on the nature of the criminal appeal, the underlying offense, and the disposition of the appeal. An appeal can be filed by the government or the offender, and the appellant can appeal the sentence, the verdict, or both sentence and verdict. The data file contains variables from the original AOUSC files as well as additional analysis variables, or "SAF" variables, that denote subsets of the data. These SAF variables are related to statistics reported in the Compendium of Federal Justice Statistics, Tables 6.1-6.5. Variables containing information (e.g., name, Social Security number) were replaced with blanks, and the day portions of date fields were also sanitized in order to protect the identities of individuals. These data are part of a series designed by the Urban Institute (Washington, DC) and the Bureau of Justice Statistics. Data and documentation were prepared by the Urban Institute.
description: Datasets: DS1: Federal Justice Statistics Program: Criminal Appeals Cases Filed in Courts of Appeals, 1997 [United States]
description: Criminal appeals cases filed in United States Courts of Appeals during fiscal year 1997.
DOI: 10.3886/icpsr24022
title: Federal Justice Statistics Program: Criminal Appeals Cases Filed in Courts of Appeals, 1997 [United States]
title: Archival Version

description: The data contain records of criminal appeals cases filed in United States Courts of Appeals during fiscal year 1997. The data were constructed from the Administrative Office of the United States Courts' (AOUSC) Court of Appeals file. These contain variables on the nature of the criminal appeal, the underlying offense, and the disposition of the appeal. An appeal can be filed by the government or the offender, and the appellant can appeal the sentence, the verdict, or both sentence and verdict. The data file contains variables from the original AOUSC files as well as additional analysis variables, or "SAF" variables, that denote subsets of the data. These SAF variables are related to statistics reported in the Compendium of Federal Justice Statistics, Tables 6.1-6.5. Variables containing information (e.g., name, Social Security number) were replaced with blanks, and the day portions of date fields were also sanitized in order to protect the identities of individuals. These data are part of a series designed by the Urban Institute (Washington, DC) and the Bureau of Justice Statistics. Data and documentation were prepared by the Urban Institute.
description: Datasets: DS1: Federal Justice Statistics Program: Criminal Appeals Cases Filed in Courts of Appeals, 1997 [United States]
description: Criminal appeals cases filed in United States Courts of Appeals during fiscal year 1997.
DOI: 10.6084/m9.figshare.22333213
title: DGRP Mapping Results - 2 days post infection, all lines

description: This is the mapping output from the DGRP website for 2 days post infection, all lines
DOI: 10.6084/m9.figshare.22333213.v1
title: DGRP Mapping Results - 2 days post infection, all lines

description: This is the mapping output from the DGRP website for 2 days post infection, all lines
DOI: 10.35078/l7swu4
title: Replication Data for: Ficha epidemiológica de localidade: Distrito: Caratinga | Município: Catas Altas da Noruega

description: Levantamento Triatomínico com operações de campo ocorridas em Minas Gerais pela Superintendência de Campanhas de Saúde Pública (SUCAM) e FUNASA (Fundação Nacional de Saúde), no período de 1979 a 1999, objetivando a busca da presença de vetores da doença de Chagas ou de vestígios dessa presença. A partir dela são orientadas as operações com inseticida (pt) Triatomine survey with field operations carried out in Minas Gerais by the Public Health Campaigns Superintendence (SUCAM) and FUNASA (National Health Foundation), from 1979 to 1999, aiming to search for the presence of Chagas disease vectors or traces of that presence. From it, operations with insecticide are guided (en) Encuesta de triatominos con operaciones de campo realizada en Minas Gerais por la Superintendencia de Campañas de Salud Pública (SUCAM) y FUNASA (Fundación Nacional de Salud), de 1979 a 1999, con el objetivo de buscar la presencia de vectores de la enfermedad de Chagas o rastros de esa presencia. Desde ella se orientan las operaciones con insecticida (es)
DOI: 10.3886/icpsr24174.v2
title: Federal Justice Statistics Program: Suspects in Federal Criminal Matters, 2004 [United States]
title: Version 2

description: The data contain records of suspects in federal criminal matters received by United States attorneys or filed before the United States magistrates during fiscal year 2004. The data were constructed from the Executive Office for United States Attorneys (EOUSA) Central System file. Records include suspects in criminal matters, and are limited to suspects whose matters were not declined immediately by the United States attorneys. According to the EOUSA, the United States attorneys conduct approximately 95 percent of the prosecutions handled by the Department of Justice. The Central System data contain variables from the original EOUSA files as well as additional analysis variables, or "SAF" variables, that denote subsets of the data. These SAF variables are related to statistics reported in the Compendium of Federal Justice Statistics, Table 1.1. Variables containing identifying information (e.g., name, Social Security Number) were replaced with blanks, and the day portions of date fields were also sanitized in order to protect the identities of individuals. These data are part of a series designed by the Urban Institute (Washington, DC) and the Bureau of Justice Statistics. Data and documentation were prepared by the Urban Institute.
description: Datasets: DS1: Federal Justice Statistics Program: Suspects in Federal Criminal Matters, 2004 [United States]
description: Suspects in federal criminal matters received by United States attorneys or filed before United States magistrates during fiscal year 2004.
DOI: 10.3886/icpsr24174
title: Federal Justice Statistics Program: Suspects in Federal Criminal Matters, 2004 [United States]
title: Archival Version

description: The data contain records of suspects in federal criminal matters received by United States attorneys or filed before the United States magistrates during fiscal year 2004. The data were constructed from the Executive Office for United States Attorneys (EOUSA) Central System file. Records include suspects in criminal matters, and are limited to suspects whose matters were not declined immediately by the United States attorneys. According to the EOUSA, the United States attorneys conduct approximately 95 percent of the prosecutions handled by the Department of Justice. The Central System data contain variables from the original EOUSA files as well as additional analysis variables, or "SAF" variables, that denote subsets of the data. These SAF variables are related to statistics reported in the Compendium of Federal Justice Statistics, Table 1.1. Variables containing identifying information (e.g., name, Social Security Number) were replaced with blanks, and the day portions of date fields were also sanitized in order to protect the identities of individuals. These data are part of a series designed by the Urban Institute (Washington, DC) and the Bureau of Justice Statistics. Data and documentation were prepared by the Urban Institute.
description: Datasets: DS1: Federal Justice Statistics Program: Suspects in Federal Criminal Matters, 2004 [United States]
description: Suspects in federal criminal matters received by United States attorneys or filed before United States magistrates during fiscal year 2004.
DOI: 10.6084/m9.figshare.22333219
title: DGRP Mapping No 321 Day 2

description: This is the mapping output from the DGRP with line 321 omitted and 2 days post infection
DOI: 10.6084/m9.figshare.22333219.v1
title: DGRP Mapping No 321 Day 2

description: This is the mapping output from the DGRP with line 321 omitted and 2 days post infection
DOI: 10.3886/icpsr24178.v2
title: Federal Justice Statistics Program: Charges Filed Against Defendants in Criminal Cases in District Court, 2004 [United States]
title: Version 2

description: The data contain records of charges filed against defendants whose cases were filed by United States attorneys in United States district court during fiscal year 2004. The data are charge-level records, and more than one charge may be filed against a single defendant. The data were constructed from the Executive Office for United States Attorneys (EOUSA) Central Charge file. The charge-level data may be linked to defendant-level data (extracted from the EOUSA Central System file) through the CS_SEQ variable, and it should be noted that some defendants may not have any charges other than the lead charge appearing on the defendant-level record. The Central Charge and Central System data contain variables from the original EOUSA files as well as additional analysis variables, or "SAF" variables, that denote subsets of the data. These SAF variables are related to statistics reported in the Compendium of Federal Justice Statistics. Variables containing identifying information (e.g., name, Social Security Number) were replaced with blanks, and the day portions of date fields were also sanitized in order to protect the identities of individuals. These data are part of a series designed by the Urban Institute (Washington, DC) and the Bureau of Justice Statistics. Data and documentation were prepared by the Urban Institute.
description: Datasets: DS1: Federal Justice Statistics Program: Charges Filed Against Defendants in Criminal Cases in District Court, 2004 [United States]
description: Charges filed against defendants in United States district court during fiscal year 2004.
DOI: 10.6084/m9.figshare.22333225
title: DGRP Mapping no 321 Day 5

description: This is the output of the DGRP mapping tool with line 321 ommitted and 5 days post infection
DOI: 10.6084/m9.figshare.22333225.v1
title: DGRP Mapping no 321 Day 5

description: This is the output of the DGRP mapping tool with line 321 ommitted and 5 days post infection
DOI: 10.6084/m9.figshare.22263893
title: <i>Raveneliopsis</i>, a new genus of ravenelioid rust fungi on <i>Cenostigma</i> (Caesalpinioideae) from the Brazilian Cerrado and Caatinga

description: The multicellular discoid convex teliospore heads represent a prominent generic feature of the genus <i>Ravenelia</i>. However, recent molecular phylogenetic work has shown that this is a convergent trait, and that this genus does not represent a natural group. In 2000, a rust fungus infecting the Caesalpinioid species Ce<i>nostigma macrophyllum</i> (= <i>C. gardnerianum</i>) was described as <i>Ravenelia cenostigmatis</i>. This species shows some rare features, such as an extra layer of sterile cells between the cysts and the fertile teliospores, spirally ornamented urediniospores, as well as strongly incurved paraphyses giving the telia and uredinia a basket-like appearance. Using freshly collected specimens of <i>Rav. cenostigmatis</i> and <i>Rav. spiralis</i> on <i>C. macrophyllum</i>, our phylogenetic analyses based on the nuc 28S, nuc 18S, and mt CO3 (cytochrome <i>c</i> oxidase subunit 3) gene sequences demonstrated that these two rust fungi belong in a lineage within the Raveneliineae that is distinct from <i>Ravenelia</i> s. str. Besides proposing their recombination into the new genus <i>Raveneliopsis</i> (type species <i>R. cenostigmatis</i>) and briefly discussing their potentially close phylogenetic affiliations, we suggest that five other <i>Ravenelia</i> species that are morphologically and ecologically close to the type species of <i>Raveneliopsis</i>, i.e., <i>Rav. corbula, Rav. corbuloides, Rav. parahybana, Rav. pileolarioides</i>, and <i>Rav. Striatiformis</i>, may be recombined pending new collections and confirmation through molecular phylogenetic analyses.
DOI: 10.6084/m9.figshare.22263893.v1
title: <i>Raveneliopsis</i>, a new genus of ravenelioid rust fungi on <i>Cenostigma</i> (Caesalpinioideae) from the Brazilian Cerrado and Caatinga

description: The multicellular discoid convex teliospore heads represent a prominent generic feature of the genus <i>Ravenelia</i>. However, recent molecular phylogenetic work has shown that this is a convergent trait, and that this genus does not represent a natural group. In 2000, a rust fungus infecting the Caesalpinioid species Ce<i>nostigma macrophyllum</i> (= <i>C. gardnerianum</i>) was described as <i>Ravenelia cenostigmatis</i>. This species shows some rare features, such as an extra layer of sterile cells between the cysts and the fertile teliospores, spirally ornamented urediniospores, as well as strongly incurved paraphyses giving the telia and uredinia a basket-like appearance. Using freshly collected specimens of <i>Rav. cenostigmatis</i> and <i>Rav. spiralis</i> on <i>C. macrophyllum</i>, our phylogenetic analyses based on the nuc 28S, nuc 18S, and mt CO3 (cytochrome <i>c</i> oxidase subunit 3) gene sequences demonstrated that these two rust fungi belong in a lineage within the Raveneliineae that is distinct from <i>Ravenelia</i> s. str. Besides proposing their recombination into the new genus <i>Raveneliopsis</i> (type species <i>R. cenostigmatis</i>) and briefly discussing their potentially close phylogenetic affiliations, we suggest that five other <i>Ravenelia</i> species that are morphologically and ecologically close to the type species of <i>Raveneliopsis</i>, i.e., <i>Rav. corbula, Rav. corbuloides, Rav. parahybana, Rav. pileolarioides</i>, and <i>Rav. Striatiformis</i>, may be recombined pending new collections and confirmation through molecular phylogenetic analyses.
DOI: 10.6084/m9.figshare.22009681
title: Mitochondrial genomes in the iconic reindeer lichens: Architecture, variation, and synteny across multiple evolutionary scales

description: Variation in mitochondrial genome composition across intraspecific, interspecific, and higher taxonomic scales has been little studied in lichen obligate symbioses. <i>Cladonia</i> is one of the most diverse and ecologically important lichen genera, with over 500 species representing an array of unique morphologies and chemical profiles. Here, we assess mitochondrial genome diversity and variation in this flagship genus, with focused sampling of two clades of the “true” reindeer lichens, <i>Cladonia</i> subgenus <i>Cladina</i>, and additional genomes from nine outgroup taxa. We describe composition and architecture at the gene and the genome scale, examining patterns in organellar genome size in larger taxonomic groups in Ascomycota. Mitochondrial genomes of <i>Cladonia, Pilophorus</i>, and <i>Stereocaulon</i> were consistently larger than those of <i>Lepraria</i> and contained more introns, suggesting a selective pressure in asexual morphology in <i>Lepraria</i> driving it toward genomic simplification. Collectively, lichen mitochondrial genomes were larger than most other fungal life strategies, reaffirming the notion that coevolutionary streamlining does not correlate to genome size reductions. Genomes from <i>Cladonia ravenelii</i> and <i>Stereocaulon pileatum</i> exhibited ATP9 duplication, bearing paralogs that may still be functional. Homing endonuclease genes (HEGs), though scarce in <i>Lepraria</i>, were diverse and abundant in <i>Cladonia</i>, exhibiting variable evolutionary histories that were sometimes independent of the mitochondrial evolutionary history. Intraspecific HEG diversity was also high, with <i>C. rangiferina</i> especially bearing a range of HEGs with one unique to the species. This study reveals a rich history of events that have transformed mitochondrial genomes of <i>Cladonia</i> and related genera, allowing future study alongside a wealth of assembled genomes.