cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15156/bio/sh0840972.10fu
title: SH0840972.10FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.15156/bio/sh0840973.10fu
title: SH0840973.10FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.15156/bio/sh0840974.10fu
title: SH0840974.10FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.15156/bio/sh0840975.10fu
title: SH0840975.10FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.35078/ivzaus
title: Replication Data for: Ficha epidemiológica de localidade: Distrito: Montes Claros| Município: Monte Azul

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: 10.6084/m9.figshare.21866109
title: Shape Files and Base Rasters required for R Code

description: This zip file includes the shape files required by our R code for North America, the United States, the empty base rasters for the five different resolutions used to make the ranges. All of our R code can be found at the github repository here: https://github.com/iDigBees/USBees.
DOI: 10.6084/m9.figshare.21866109.v1
title: Shape Files and Base Rasters required for R Code

description: This zip file includes the shape files required by our R code for North America, the United States, the empty base rasters for the five different resolutions used to make the ranges. This file also includes the 10x10km LANDFIRE masks, even though they are also uploaded under this project in a separate file. All of our R code can be found at the github repository here: https://github.com/iDigBees/USBees.
DOI: 10.18112/openneuro.ds004440.v1.0.0
title: Stanford Child and Adult Checkerboard Retinotopy Dataset
DOI: 10.6084/m9.figshare.21944012
title: finemap_ppc.robj

description: We performed finemapping on each significant iPSC-PPC eQTL (gene and isoform) using <em>finemap.abf</em> in coloc. Here, we report the results as an R list object.
DOI: 10.6084/m9.figshare.21944012.v1
title: finemapping_ppc

description: We performed finemapping on each significant iPSC-PPC eQTL (gene and isoform) using <em>finemap.abf</em> in coloc. Here, we report the results as an R list object.
DOI: 10.6084/m9.figshare.21944012.v2
title: finemap_ppc.robj

description: We performed finemapping on each significant iPSC-PPC eQTL (gene and isoform) using <em>finemap.abf</em> in coloc. Here, we report the results as an R list object.
DOI: 10.6084/m9.figshare.19725874
title: Bee Records - Additional North American Data

description: This consists of ~2.5 million bee records before any data were cropped to the boundaries of the contiguous United States. This file is critical for our project; when we created range maps for all 3,158 bee species, we used data from all of North America so that we did not exclude any records that fell onto edge pixels/country boundary pixels. Please note that all records that fall within the contiguous are very clean, while anything falling in Canada, Mexico, Hawaii, Alaska, etc., was not put through the same rigorous cleaning process. <strong>Please use the column "finalName" for accurate scientific name information, and the columns "finalLongitude" and "finalLatitude" for most precise coordinate information.</strong>
DOI: 10.6084/m9.figshare.19725805
title: Contiguous US bee Records

description: This is 1,923,814 records for US bee occurrences for 3,158 bee species known to exist in the contiguous United States. These records were originally downloaded from GBIF and SCAN on February 3rd, 2021, and were extensively cleaned by Chesshire et al. <strong>Please use the column "finalName" for accurate scientific name information, and the columns "finalLongitude" and "finalLatitude" for most precise coordinate information.</strong>
DOI: 10.5066/p94smjki
title: Reach-scale predicted annual streamflow permanence probabilities, predicted monthly mean stream temperature for August, and predicted monthly streamflow discharge for stream reaches in the Pacific Northwest, USA (2004-2015) (ver. 2.0, January 2023)

description: This dataset is a combination of annual Probability of Streamflow Permanence (PROSPER) predictions, Northwest Stream Temperature (NorWeST) predictions of monthly mean stream temperatures for August of each year, and predicted monthly streamflow discharge for stream reaches in the Pacific Northwest from the USGS database of natural monthly streamflow estimates, U.S., 2004-2015. The PROSPER model provides predictions of the annual probability of a 30-meter stream segment maintaining year-round streamflow. The NorWeST model provides annual predictions of monthly mean stream temperature for August for 1-kilometer stream segments. Finally, predictions of natural monthly streamflow were combined with NorWeST and PROSPER to provide information on the volume of water in a given system. The data are merged using the Medium Resolution National Hydrography Dataset, which serves as the foundation for the stream lines that the data are represented with. The intent of this merged dataset is to analyze the availability of current and future aquatic habitat.
DOI: 10.6084/m9.figshare.21944066
title: RAW databases and data analysis

description: Raw databases of the data collected through interviews conducted to 1) pregnant women when leaving an ANC visit (i.e. "exit_survey_RAW") and 2) health workers from selected health facilities (i.e. "health_workers_RAW"). <br> In addition, the coding produced to analyse the raw databases (through STATA/SE 17.0) and produce the tables of the manuscript are also attached. More specifically, the file 3) Households_costs_analysis contains the coding and analysis of the households costs (from the database "exit_survey_RAW") , and the file 4) Health_system_costs_analysis containg the coding and analysis of the health system costs (from the database "health_workers_RAW").
DOI: 10.6084/m9.figshare.21944066.v1
title: RAW databases and data analysis

description: Raw databases of the data collected through interviews conducted to 1) pregnant women when leaving an ANC visit (i.e. "exit_survey_RAW") and 2) health workers from selected health facilities (i.e. "health_workers_RAW"). <br> In addition, the coding produced to analyse the raw databases (through STATA/SE 17.0) and produce the tables of the manuscript are also attached. More specifically, the file 3) Households_costs_analysis contains the coding and analysis of the households costs (from the database "exit_survey_RAW") , and the file 4) Health_system_costs_analysis containg the coding and analysis of the health system costs (from the database "health_workers_RAW").
DOI: 10.18112/openneuro.ds004440.v1.0.1
title: Stanford Child and Adult Checkerboard Retinotopy Dataset
DOI: 10.5281/zenodo.7562603
title: immobilier france

description: This dataset contains an history of nearly all of the real estate transactions concerning a single house/appartment in France from 2014 to today. Some variables likely to have an impact on the price of real estate are also provided as time series: the households income levels per city, the average debt level of french peoples, the average amount of savings of french people, the interest rates of loans, the price of the rent per city, the number of houses and number of vacant houses per city. This dataset is provided under a permissive licence, and is free to use for commercial uses. It has a vocation of helping research concerning the dynamics of real estate prices. The dataset consist in extraction from several openly available datasets put together in a practical format: The DVF+ database of real estate transactions, the IRCOM dataset of household incomes and income taxes, average interest rates of real estate loans from the banque de france website, the LOVAC dataset of number of vacant and occupied housings per city, the OECD dataset of financial assets per capita, the "carte des loyers" dataset of 2018 and 2022 which list the average price of the rent per square meter, the Indice de Référence des Loyers (IRL) time series which is an index defining the maximum rent increase that can be applied to an already rented housing and is calculated every 3 months as the inflation adjusted buying power of 100€ in 1998, the TEC00104 eurostat dataset of debt levels.
DOI: 10.5281/zenodo.7562602
title: immobilier france

description: This dataset contains an history of nearly all of the real estate transactions concerning a single house/appartment in France from 2014 to today. Some variables likely to have an impact on the price of real estate are also provided as time series: the households income levels per city, the average debt level of french peoples, the average amount of savings of french people, the interest rates of loans, the price of the rent per city, the number of houses and number of vacant houses per city. This dataset is provided under a permissive licence, and is free to use for commercial uses. It has a vocation of helping research concerning the dynamics of real estate prices. The dataset consist in extraction from several openly available datasets put together in a practical format: The DVF+ database of real estate transactions, the IRCOM dataset of household incomes and income taxes, average interest rates of real estate loans from the banque de france website, the LOVAC dataset of number of vacant and occupied housings per city, the OECD dataset of financial assets per capita, the "carte des loyers" dataset of 2018 and 2022 which list the average price of the rent per square meter, the Indice de Référence des Loyers (IRL) time series which is an index defining the maximum rent increase that can be applied to an already rented housing and is calculated every 3 months as the inflation adjusted buying power of 100€ in 1998, the TEC00104 eurostat dataset of debt levels.
DOI: 10.34740/kaggle/dsv/4885382
title: immobilier france
DOI: 10.6084/m9.figshare.21941558.v1
title: README_US_bee_completeness_paper.md

description: README.md file for all data files listed under this project
DOI: 10.5517/ccdc.csd.cc222sml
title: CCDC 1909309: Experimental Crystal Structure Determination

description: Related Article: Jonathan H. Boyce, Benjamin J. Reisman, Brian O. Bachmann, John A. Porco|2021|Angew.Chem.,Int.Ed.|60|1263|doi:10.1002/anie.202010338
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc222snm
title: CCDC 1909310: Experimental Crystal Structure Determination

description: Related Article: Jonathan H. Boyce, Benjamin J. Reisman, Brian O. Bachmann, John A. Porco|2021|Angew.Chem.,Int.Ed.|60|1263|doi:10.1002/anie.202010338
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc222spn
title: CCDC 1909311: Experimental Crystal Structure Determination

description: Related Article: Jonathan H. Boyce, Benjamin J. Reisman, Brian O. Bachmann, John A. Porco|2021|Angew.Chem.,Int.Ed.|60|1263|doi:10.1002/anie.202010338
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc24yc2k
title: CCDC 1994418: Experimental Crystal Structure Determination

description: Related Article: Josef T. Boronski, Matthew P. Stevens, Bono IJzendoorn, Adrian C. Whitwood, John M. Slattery|2021|Angew.Chem.,Int.Ed.|60|1567|doi:10.1002/anie.202010837
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc24yc3l
title: CCDC 1994419: Experimental Crystal Structure Determination

description: Related Article: Josef T. Boronski, Matthew P. Stevens, Bono IJzendoorn, Adrian C. Whitwood, John M. Slattery|2021|Angew.Chem.,Int.Ed.|60|1567|doi:10.1002/anie.202010837
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc24yc4m
title: CCDC 1994420: Experimental Crystal Structure Determination

description: Related Article: Josef T. Boronski, Matthew P. Stevens, Bono IJzendoorn, Adrian C. Whitwood, John M. Slattery|2021|Angew.Chem.,Int.Ed.|60|1567|doi:10.1002/anie.202010837
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc24yc5n
title: CCDC 1994421: Experimental Crystal Structure Determination

description: Related Article: Josef T. Boronski, Matthew P. Stevens, Bono IJzendoorn, Adrian C. Whitwood, John M. Slattery|2021|Angew.Chem.,Int.Ed.|60|1567|doi:10.1002/anie.202010837
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc252dym
title: CCDC 1998320: Experimental Crystal Structure Determination

description: Related Article: Jiawang Liu, Carolin Schneider, Ji Yang, Zhihong Wei, Haijun Jiao, Robert Franke, Ralf Jackstell, Matthias Beller|2021|Angew.Chem.,Int.Ed.|60|371|doi:10.1002/anie.202010768
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc253kyt
title: CCDC 1999436: Experimental Crystal Structure Determination

description: Related Article: Xiao-Long Su, Liu Ye, Ji-Jun Chen, Xiao-Dong Liu, Sheng-Peng Jiang, Fu-Li Wang, Lin Liu, Chang-Jiang Yang, Xiao-Yong Chang, Zhong-Liang Li, Qiang-Shuai Gu, Xin-Yuan Liu|2021|Angew.Chem.,Int.Ed.|60|380|doi:10.1002/anie.202009527
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc255d0s
title: CCDC 2001174: Experimental Crystal Structure Determination

description: Related Article: Jiawang Liu, Carolin Schneider, Ji Yang, Zhihong Wei, Haijun Jiao, Robert Franke, Ralf Jackstell, Matthias Beller|2021|Angew.Chem.,Int.Ed.|60|371|doi:10.1002/anie.202010768
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc24sf7m
title: CCDC 1989680: Experimental Crystal Structure Determination

description: Related Article: Saurav Bhattacharya, Uttara Basu, Mohamed Haouas, Pei Su, Michael Forrester Espenship, Fei Wang, Albert Solé-Daura, Dereje H. Taffa, Michael Wark, Josep M. Poblet, Julia Laskin, Emmanuel Cadot, Ulrich Kortz|2021|Angew.Chem.,Int.Ed.|60|3632|doi:10.1002/anie.202010690
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc24sf6l
title: CCDC 1989679: Experimental Crystal Structure Determination

description: Related Article: Saurav Bhattacharya, Uttara Basu, Mohamed Haouas, Pei Su, Michael Forrester Espenship, Fei Wang, Albert Solé-Daura, Dereje H. Taffa, Michael Wark, Josep M. Poblet, Julia Laskin, Emmanuel Cadot, Ulrich Kortz|2021|Angew.Chem.,Int.Ed.|60|3632|doi:10.1002/anie.202010690
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc24sf8n
title: CCDC 1989681: Experimental Crystal Structure Determination

description: Related Article: Saurav Bhattacharya, Uttara Basu, Mohamed Haouas, Pei Su, Michael Forrester Espenship, Fei Wang, Albert Solé-Daura, Dereje H. Taffa, Michael Wark, Josep M. Poblet, Julia Laskin, Emmanuel Cadot, Ulrich Kortz|2021|Angew.Chem.,Int.Ed.|60|3632|doi:10.1002/anie.202010690
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.