cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.3886/icpsr38613
title: Federal Justice Statistics Program: Defendants in Federal Criminal Cases in District Court - Pending, 2020
title: Archival Version

description: The data contain records of defendants in criminal cases filed in United States District Court before or during fiscal year 2020 and still pending as of year-end. The data were constructed from the Administrative Office of the United States District Courts' (AOUSC) criminal file. Defendants in criminal cases may be either individuals or corporations. There is one record for each defendant in each case filed. Included in the records are data from court proceedings and offense codes for up to five offenses charged at the time the case was filed. (The most serious charge at termination may differ from the most serious charge at case filing, due to plea bargaining or action of the judge or jury.) In a case with multiple charges against the defendant, a "most serious" offense charge is determined by a hierarchy of offenses based on statutory maximum penalties associated with the charges. The data file contains variables from the original AOUSC files as well as additional analysis variables. Variables containing identifying information (e.g., name, Social Security number) were either removed, coarsened, or blanked in order to protect the identities of individuals. These data are part of a series designed by Abt Associates and the Bureau of Justice Statistics. Data and documentation were prepared by Abt Associates.
description: Datasets: DS1: Federal Justice Statistics Program: Defendants in Federal Criminal Cases in District Court - Pending, 2020
description: Criminal cases filed in United States District Court during fiscal year 2020 and still pending as of year-end.
DOI: 10.25392/leicester.data.22360534
title: Jama et al Data from SCNA and gene pathway analysis

description: An MS Excel file with 12 tabbed sheets 1. SCNA-BAP1: SCNA data from Zhang 2021 of CN segments harbouring the BAP1 gene 2. KEGG gene list: list of KEGG genes for Hippo pathway, Homologous recombination pathway and Non-Homologous End Joining pathway 3. SCNA -HIPPO: SCNA data from Zhang 2021 of CN segments harbouring Hippo pathway genes 4. SCNA-HR: SCNA data from Zhang 2021 of CN segments harbouring HR pathway genes 5. SCNA-NHEJ: SCNA data from Zhang 2021 of CN segments harbouring NHEJ pathway genes 6. TRUNCAL HIPPO: Truncal SCNA changes in Hippo pathway genes according to sample and fusion status 7. TRUNCAL HR: Truncal SCNA changes in HR pathway genes according to sample and fusion status 8. TRUNCAL NHEJ: Truncal SCNA changes in NHEJ pathway genes according to sample and fusion status 9. TRUNCAL + BRANCH HIPPO: SCNA changes in Hippo pathway genes according to sample and fusion status 10. TRUNCAL + BRANCH HR: SCNA changes in HR pathway genes according to sample and fusion status 11. TRUNCAL + BRANCH NHEJ: SCNA changes in NHEJ pathway genes according to sample and fusion status 12. SUMMARY: Two-by-two contingency tables of gene fusion positive/gene fusion negative tumours <br> <br> <br>
DOI: 10.25392/leicester.data.22360534.v1
title: Jama et al Data from SCNA and gene pathway analysis

description: An MS Excel file with 12 tabbed sheets 1. SCNA-BAP1: SCNA data from Zhang 2021 of CN segments harbouring the BAP1 gene 2. KEGG gene list: list of KEGG genes for Hippo pathway, Homologous recombination pathway and Non-Homologous End Joining pathway 3. SCNA -HIPPO: SCNA data from Zhang 2021 of CN segments harbouring Hippo pathway genes 4. SCNA-HR: SCNA data from Zhang 2021 of CN segments harbouring HR pathway genes 5. SCNA-NHEJ: SCNA data from Zhang 2021 of CN segments harbouring NHEJ pathway genes 6. TRUNCAL HIPPO: Truncal SCNA changes in Hippo pathway genes according to sample and fusion status 7. TRUNCAL HR: Truncal SCNA changes in HR pathway genes according to sample and fusion status 8. TRUNCAL NHEJ: Truncal SCNA changes in NHEJ pathway genes according to sample and fusion status 9. TRUNCAL + BRANCH HIPPO: SCNA changes in Hippo pathway genes according to sample and fusion status 10. TRUNCAL + BRANCH HR: SCNA changes in HR pathway genes according to sample and fusion status 11. TRUNCAL + BRANCH NHEJ: SCNA changes in NHEJ pathway genes according to sample and fusion status 12. SUMMARY: Two-by-two contingency tables of gene fusion positive/gene fusion negative tumours <br> <br> <br>
DOI: 10.6084/m9.figshare.22362601
title: Time series data of NDVI, LAI, precipitation, temperature and soil moisture in CA during 1985-2020

description: Time series data of NDVI, LAI, precipitation, temperature and soil moisture under different land cover types from 1985 to 2020
DOI: 10.6084/m9.figshare.22362601.v1
title: Time series data of NDVI, LAI, precipitation, temperature and soil moisture in CA during 1985-2020

description: Time series data of NDVI, LAI, precipitation, temperature and soil moisture under different land cover types from 1985 to 2020
DOI: 10.35078/u0myrr
title: Replication Data for: Ficha epidemiológica de localidade: Distrito: Varginha| Município: Jacuí

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: 10.5281/zenodo.7786044
title: Host influence on life history traits of Ceratitis capitata Wiedemann in an arid region of Argentina

description: <pre>Data set of life history traits of Ceratitis capitata recovered from peaches, plums, and figs grown under climatic conditions of an irrigated oasis in San Juan, Argentina.</pre>
DOI: 10.5281/zenodo.7786043
title: Host influence on life history traits of Ceratitis capitata Wiedemann in an arid region of Argentina

description: <pre>Data set of life history traits of Ceratitis capitata recovered from peaches, plums, and figs grown under climatic conditions of an irrigated oasis in San Juan, Argentina.</pre>
DOI: 10.14768/apd.8t4h-ty83
title: DANGBO
DOI: 10.14768/apd.9hnj-eq46
title: B-YANGA
DOI: 10.5281/zenodo.7786075
title: Table S1: Results from Generalized Estimating Equations.

description: Supplementary data
DOI: 10.5281/zenodo.7786074
title: Table S1: Results from Generalized Estimating Equations.

description: Supplementary data
DOI: 10.35078/2vbj5z
title: Replication Data for: Ficha epidemiológica de localidade: Distrito: Varginha | Município: Japaraíba

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/icpsr38621.v1
title: Federal Justice Statistics Program: Defendants Charged in Criminal Cases Filed in District Court, 2020
title: Version 1

description: The data contain records of defendants in federal criminal cases filed in United States District Court during fiscal year 2020. The data were constructed from the Executive Office for United States Attorneys (EOUSA) Central System file. According to the EOUSA, the United States attorneys conduct approximately 95 percent of the prosecutions handled by the Department of Justice. The Central Charge and Central System data contain variables from the original EOUSA files as well as additional analysis variables. Variables containing identifying information (e.g., name, Social Security Number) were either removed, coarsened, or blanked in order to protect the identities of individuals. These data are part of a series designed by Abt Associates and the Bureau of Justice Statistics. Data and documentation were prepared by Abt Associates.
description: Datasets: DS1: Federal Justice Statistics Program: Defendants Charged in Criminal Cases Filed in District Court, 2020
description: Defendants in federal criminal cases filed in United States District Court during fiscal year 2020.
DOI: 10.3886/icpsr38621
title: Federal Justice Statistics Program: Defendants Charged in Criminal Cases Filed in District Court, 2020
title: Archival Version

description: The data contain records of defendants in federal criminal cases filed in United States District Court during fiscal year 2020. The data were constructed from the Executive Office for United States Attorneys (EOUSA) Central System file. According to the EOUSA, the United States attorneys conduct approximately 95 percent of the prosecutions handled by the Department of Justice. The Central Charge and Central System data contain variables from the original EOUSA files as well as additional analysis variables. Variables containing identifying information (e.g., name, Social Security Number) were either removed, coarsened, or blanked in order to protect the identities of individuals. These data are part of a series designed by Abt Associates and the Bureau of Justice Statistics. Data and documentation were prepared by Abt Associates.
description: Datasets: DS1: Federal Justice Statistics Program: Defendants Charged in Criminal Cases Filed in District Court, 2020
description: Defendants in federal criminal cases filed in United States District Court during fiscal year 2020.
DOI: 10.5281/zenodo.7785934
title: Review of Open Call Record Datasets concerning the U.S. 911 Emergency Response System

description: The data available here identifies and describes a sampling of publicly available datasets about the 911 emergency response system. This list of datasets is a resource for researchers, civic technologists, activists, and journalists seeking to learn more about the 911 emergency response system. The list helps to identify relevant datasets that could be used to understand various types of 911 activity. During the first quarter of 2021, the R911 NAT created a list of priority cities including the top 100 cities by population, all state capitals, and the 82 cities that are home to Code for America Brigades. The team then conducted internet searches for each city using terms like “<em>911 calls for service</em>” and “<em>open 911 data</em>.” The dataset and a codebook defining each of these fields are provided as .csv files within a zip file. <strong>Note</strong>: this file <em>does not contain the actual 911 datasets</em>, which often number in the millions of records. The <em>data_link</em> field contains the URL of the site where each dataset is publicly available. <strong>See also</strong>: The Reimagine 911 knowledge base at: https://reimagine-911.gitbook.io/knowledge-base <strong>Contributors</strong>: This open data review was performed by the Code for America Reimagine 911 National Action Team. Contributing team members include: Aleks Hatfield, Brandon Bolton, Chizo Nwagwu, Dan Stormont, Elaine Chow, Em Spalti, Erica Pauls, Gio Sce, Gregory Janesch, Iva Momcheva, Ivelina Momcheva, Jamie Klenetsky Fay, Jason Trout, Jaya Prasad Jayakumar, Jennifer Miller, Jim Grenadier, Joanna Smith, Jonathan Melvin, Katlyn McGraw, Margaret Fine, Mariah Lynch, Micah Mutrux, Michelle Hoogenhout, Patina Herring, Peter Zeglen, Sarah Graham, Sebastian Barajas
description: This dataset will not be updated. See https://data.world/codeforamerica for related datasets and live-synced updates.
DOI: 10.5281/zenodo.7785933
title: Review of Open Call Record Datasets concerning the U.S. 911 Emergency Response System

description: The data available here identifies and describes a sampling of publicly available datasets about the 911 emergency response system. This list of datasets is a resource for researchers, civic technologists, activists, and journalists seeking to learn more about the 911 emergency response system. The list helps to identify relevant datasets that could be used to understand various types of 911 activity. During the first quarter of 2021, the R911 NAT created a list of priority cities including the top 100 cities by population, all state capitals, and the 82 cities that are home to Code for America Brigades. The team then conducted internet searches for each city using terms like “<em>911 calls for service</em>” and “<em>open 911 data</em>.” The dataset and a codebook defining each of these fields are provided as .csv files within a zip file. <strong>Note</strong>: this file <em>does not contain the actual 911 datasets</em>, which often number in the millions of records. The <em>data_link</em> field contains the URL of the site where each dataset is publicly available. <strong>See also</strong>: The Reimagine 911 knowledge base at: https://reimagine-911.gitbook.io/knowledge-base <strong>Contributors</strong>: This open data review was performed by the Code for America Reimagine 911 National Action Team. Contributing team members include: Aleks Hatfield, Brandon Bolton, Chizo Nwagwu, Dan Stormont, Elaine Chow, Em Spalti, Erica Pauls, Gio Sce, Gregory Janesch, Iva Momcheva, Ivelina Momcheva, Jamie Klenetsky Fay, Jason Trout, Jaya Prasad Jayakumar, Jennifer Miller, Jim Grenadier, Joanna Smith, Jonathan Melvin, Katlyn McGraw, Margaret Fine, Mariah Lynch, Micah Mutrux, Michelle Hoogenhout, Patina Herring, Peter Zeglen, Sarah Graham, Sebastian Barajas
description: This dataset will not be updated. See https://data.world/codeforamerica for related datasets and live-synced updates.
DOI: 10.14768/apd.48fx-4m11
title: African Pollen Database: AL BALID [1] fossil pollen dataset
DOI: 10.34740/kaggle/dsv/5270498
title: Mahanagar Yatayat Dataset
DOI: 10.14768/apd.q492-9n78
title: African Pollen Database: AH [1] fossil pollen dataset
DOI: 10.14768/apd.qzfz-wb20
title: African Pollen Database: SIB [SWM-SB-1]* fossil pollen dataset
DOI: 10.14768/apd.gbkn-6e09
title: African Pollen Database: FOURTCHI fossil pollen dataset
DOI: 10.14768/apd.0tzf-ac12
title: African Pollen Database: ALBERT [F] fossil pollen dataset
DOI: 10.14768/apd.xxk2-pr14
title: African Pollen Database: SA [1] fossil pollen dataset
DOI: 10.14768/apd.d9qe-a259
title: African Pollen Database: MANDI fossil pollen dataset
DOI: 10.14768/apd.bt91-0602
title: African Pollen Database: AMPARIHIBE [AMP16] fossil pollen dataset
DOI: 10.14768/apd.ptw8-c572
title: African Pollen Database: HADAR [2] fossil pollen dataset
DOI: 10.14768/apd.g3m3-by73
title: African Pollen Database: DOORNPOORT* fossil pollen dataset
DOI: 10.14768/apd.k3x7-se88
title: African Pollen Database: TK [4] fossil pollen dataset
DOI: 10.14768/apd.v6js-x595
title: African Pollen Database: ELIM CHANNEL [2]* fossil pollen dataset
DOI: 10.14768/apd.czsw-yt64
title: African Pollen Database: B-STREAM [BSM93 ]* fossil pollen dataset
DOI: 10.14768/apd.74ze-rp14
title: African Pollen Database: DASSIE ROCK* fossil pollen dataset
DOI: 10.14768/apd.wjzy-h071
title: African Pollen Database: ALB [3PC] fossil pollen dataset
DOI: 10.14768/apd.xqtf-n696
title: African Pollen Database: SCOUTHUT fossil pollen dataset
DOI: 10.14768/apd.zgqn-h084
title: African Pollen Database: GARBA [B] fossil pollen dataset
DOI: 10.14768/apd.n17z-pd07
title: African Pollen Database: BLASSKRANZ fossil pollen dataset
DOI: 10.14768/apd.1tb2-at32
title: African Pollen Database: WINTERB fossil pollen dataset
DOI: 10.14768/apd.tssz-dq53
title: African Pollen Database: GROUM [1511] fossil pollen dataset
DOI: 10.14768/apd.fc46-t697
title: African Pollen Database: SHIWA fossil pollen dataset
DOI: 10.14768/apd.f7k6-e518
title: African Pollen Database: BUNYONYI [10] fossil pollen dataset
DOI: 10.14768/apd.p7fj-5c04
title: African Pollen Database: EKOUSSI fossil pollen dataset
DOI: 10.14768/apd.qr5t-0v49
title: African Pollen Database: JAMT [36] fossil pollen dataset
DOI: 10.14768/apd.hqvv-d472
title: African Pollen Database: SOA-99 fossil pollen dataset
DOI: 10.14768/apd.pbhp-y035
title: African Pollen Database: OKANDJOMBO [MIDDEN I]* fossil pollen dataset
DOI: 10.14768/apd.stcr-aw55
title: African Pollen Database: SMOM fossil pollen dataset
DOI: 10.14768/apd.13bh-ex48
title: African Pollen Database: TOUKA fossil pollen dataset
DOI: 10.14768/apd.fvps-c247
title: African Pollen Database: ESAMBU fossil pollen dataset
DOI: 10.14768/apd.79pa-af93
title: African Pollen Database: BOUENI [KL89-026] fossil pollen dataset
DOI: 10.14768/apd.1ktm-cm12
title: African Pollen Database: LOAME [FC 400] fossil pollen dataset
DOI: 10.14768/apd.md9y-eg38
title: African Pollen Database: PAKHUIS PASS [1173]* fossil pollen dataset
DOI: 10.14768/apd.0bvn-d685
title: African Pollen Database: MOWO [2313] fossil pollen dataset
DOI: 10.14768/apd.7nz9-wn40
title: African Pollen Database: BAL [17-GGU-1B] fossil pollen dataset
DOI: 10.14768/apd.27qj-tm22
title: African Pollen Database: MOUCHE fossil pollen dataset
DOI: 10.14768/apd.66ye-kw89
title: African Pollen Database: BAMBILI [BB-01] fossil pollen dataset
DOI: 10.14768/apd.6r9b-rs04
title: African Pollen Database: B-GUTTER* fossil pollen dataset
DOI: 10.14768/apd.enez-0776
title: African Pollen Database: UITZIGT fossil pollen dataset
DOI: 10.5287/ora-xq80a2xmx
title: Simple Rules of the Monetary Policy and Incomplete Exchange Rate Pass-Through
DOI: 10.14768/apd.mn6d-z320
title: African Pollen Database: NW [1] fossil pollen dataset
DOI: 10.14768/apd.v4x8-xm39
title: African Pollen Database: KELLA [butte] fossil pollen dataset
DOI: 10.14768/apd.my6h-er03
title: African Pollen Database: 02DIOGO fossil pollen dataset
DOI: 10.14768/apd.re4v-j603
title: African Pollen Database: KANAKA [1] fossil pollen dataset
DOI: 10.14768/apd.5rvz-5r42
title: African Pollen Database: LH [1] fossil pollen dataset
DOI: 10.14768/apd.vfzd-0g92
title: African Pollen Database: NUWEV [2] fossil pollen dataset
DOI: 10.14768/apd.rhqc-da90
title: African Pollen Database: ITINEN fossil pollen dataset
DOI: 10.14768/apd.kvm4-kp14
title: African Pollen Database: NDU [1] fossil pollen dataset
DOI: 10.14768/apd.qt5t-n891
title: African Pollen Database: GABR [I - VI] fossil pollen dataset
DOI: 10.14768/apd.21zg-xc40
title: African Pollen Database: JIKARIYA fossil pollen dataset
DOI: 10.14768/apd.63re-k776
title: African Pollen Database: TSOAING* fossil pollen dataset
DOI: 10.14768/apd.g4gv-3v26
title: African Pollen Database: MPU [12TAN] fossil pollen dataset
DOI: 10.3886/icpsr38614.v1
title: Federal Justice Statistics Program: Defendants in Federal Criminal Cases in District Court - Terminated, 2020
title: Version 1

description: The data contain records of defendants in criminal cases terminated in United States District Court during fiscal year 2020. The data were constructed from the Administrative Office of the United States District Courts' (AOUSC) criminal file. Defendants in criminal cases may be either individuals or corporations. There is one record for each defendant in each case filed. Included in the records are data from court proceedings and offense codes for up to five offenses charged at the time the case was filed. (The most serious charge at termination may differ from the most serious charge at case filing, due to plea bargaining or action of the judge or jury.) In a case with multiple charges against the defendant, a "most serious" offense charge is determined by a hierarchy of offenses based on statutory maximum penalties associated with the charges. The data file contains variables from the original AOUSC files as well as additional analysis variables. Variables containing identifying information (e.g., name, Social Security number) were either removed, coarsened, or blanked in order to protect the identities of individuals. These data are part of a series designed by Abt Associates and the Bureau of Justice Statistics. Data and documentation were prepared by Abt Associates.
description: Datasets: DS1: Federal Justice Statistics Program: Defendants in Federal Criminal Cases in District Court - Terminated, 2020
description: Criminal cases terminated in United States District Court during fiscal year 2020.
DOI: 10.3886/icpsr38614
title: Federal Justice Statistics Program: Defendants in Federal Criminal Cases in District Court - Terminated, 2020
title: Archival Version

description: The data contain records of defendants in criminal cases terminated in United States District Court during fiscal year 2020. The data were constructed from the Administrative Office of the United States District Courts' (AOUSC) criminal file. Defendants in criminal cases may be either individuals or corporations. There is one record for each defendant in each case filed. Included in the records are data from court proceedings and offense codes for up to five offenses charged at the time the case was filed. (The most serious charge at termination may differ from the most serious charge at case filing, due to plea bargaining or action of the judge or jury.) In a case with multiple charges against the defendant, a "most serious" offense charge is determined by a hierarchy of offenses based on statutory maximum penalties associated with the charges. The data file contains variables from the original AOUSC files as well as additional analysis variables. Variables containing identifying information (e.g., name, Social Security number) were either removed, coarsened, or blanked in order to protect the identities of individuals. These data are part of a series designed by Abt Associates and the Bureau of Justice Statistics. Data and documentation were prepared by Abt Associates.
description: Datasets: DS1: Federal Justice Statistics Program: Defendants in Federal Criminal Cases in District Court - Terminated, 2020
description: Criminal cases terminated in United States District Court during fiscal year 2020.
DOI: 10.5281/zenodo.7783581
title: SFB 1391 A03 Frankreich - Briefkorpus

description: Dieses Korpus enthält die Manuskripte sowie die Transkriptionen französischer Privatbriefe des 17. Jahrhunderts, die im Rahmen der Forschung zur Sprachnormierungsdebatte zusammengetragen und erstellt wurden.
DOI: 10.5281/zenodo.7783582
title: SFB 1391 A03 Frankreich - Briefkorpus

description: Dieses Korpus enthält die Manuskripte sowie die Transkriptionen französischer Privatbriefe des 17. Jahrhunderts, die im Rahmen der Forschung zur Sprachnormierungsdebatte zusammengetragen und erstellt wurden.