cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.15391290
title: Vapor Pressure Deficit Trends in the Columbia River Basin (1979–2024)

description: Vapor Pressure Deficit Trends in the Columbia River Basin (1979–2024)

This is a three-part research package submitted to Zenodo. It is supported by the companion Jupyter Notebook ’logan_2025_crb-vpd_notebook_v1.ipynb’, which contains all source code, data diagnostics, and visualizations referenced herein. The PDF version of that notebook is ‘logan_2025_crb-vpd_notebook_v1.pdf’ . The PDF version of the summary document is 'logan_2025_crb-vpd_summary_v1.pdf'

Contact: Jeffrey Logan, Earth and Spatial Sciences, University of Idaho 

Email: jeffrey.logan@uidaho.edu 

ORCID: 0009-0001-9415-5809
DOI: 10.15468/dl.3bg94v
title: Occurrence Download

description: A dataset containing 2 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((-79.80527 -5.91872,-79.87523 -6.01439,-79.74318 -6.07788,-79.64261 -6.06918,-79.66884 -5.97786,-79.80527 -5.91872))",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Falco femoralis Temminck, 1822"
 ]
}

 The dataset includes 2 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0028746-250426092105405/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.3886/icpsr39295.v1
title: Census of Law Enforcement Training Academies, 2022
title: Version 1

description: In 2022, there were 747 state and local law enforcement training academies that provided basic training instruction to 60,214 recruits. As part of the 2022 CLETA, respondents provided general information about the academies' resources, programs, recruits and staff. The core curricula subject areas and hours dedicated to each topic, as well as training offered in some special topics, were also included. The collection included information about recruit demographics, completion, and reasons for non-completion of basic training. BJS administered previous versions of the CLETA in 2002, 2006, 2013, and 2018.
description: The frame of academies for the 2022 CLETA was based on the frame used for the 2018 CLETA, with updates based on web searches and national law enforcement directories that provided more accurate and available information. Initial points of contact were determined and reviewed and academies contacted for participation in the collection.
description: Final weights adjusting for academies who did not respond within strata defined by academy type are include in the variable "Final_Weight".
description: Response Rates: A total of 857 facilities were identified during rostering efforts and were initially contacted to complete the questionnaire. Of these, 110 were deemed ineligible for known reasons. These reasons included reporting they did not offer basic training, were duplicates, did not meet criteria, no longer existed, or were no longer in service. This left a total of 747 potentially eligible academies, 602 of which (81%) responded to the survey. No academy type received a 100% response rate, however the response rates for type of academy based on operating agency were all higher than 74%.
description: Presence of Common Scales: None.
description: Data were from all state and local law enforcement academies that provided basic training. These academies were operated by state, regional, county and municipal agencies and by universities, colleges, and technical schools. Academies that provided only in-service training, did not offer training to law enforcement officers, or only offered specialized training were excluded. Federal training academies were also out-of-scope for this collection.
description: Datasets: 
DS1: Census of Law Enforcement Training Academies, 2022
description: All state and local academies that provided basic law enforcement training. Smallest Geographic Unit: state
description: mail questionnaire; web-based survey
DOI: 10.21227/nstk-y264
title: "A Multisensor Fusion Method Based on High-Dimensional Cognitive Encoding for Large-Scale Navigation"

description: "With the widespread application of unmanned systems in large-scale and complex environments, accurate and reliable navigation has become a pivotal challenge. Most existing brain-inspired multisensor fusion methods primarily focus on small-scale environments and overlook the impact of high-dimensional cognitive information on navigation. In this article, inspired by the navigation mechanisms of the bat brain, we propose a multisensor fusion navigation architecture based on memory and reasoning mechanisms. The proposed architecture adaptively integrates multisensor information in high-dimensional cognitive space through environmental perception, spatial perception, and cognitive reasoning. To further improve navigation performance, we propose a place cell update method based on cyclic mapping and a cognitive map decoding method based on interest iteration. The proposed method is evaluated on both public datasets and our own dataset. Experimental results demonstrate that the proposed brain-inspired multisensor fusion method outperforms existing methods in terms of localization accuracy and robustness, offering a promising brain-inspired solution for large-scale navigation tasks."
DOI: 10.15468/dl.nsrec6
title: Occurrence Download

description: A dataset containing 2 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((-79.80159 -5.91701,-79.85736 -5.98832,-79.8308 -6.06227,-79.75059 -6.05225,-79.62843 -6.0813,-79.5886 -6.02056,-79.68951 -5.94925,-79.80159 -5.91701))",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Falco femoralis Temminck, 1822"
 ]
}

 The dataset includes 2 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0028747-250426092105405/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.3886/icpsr39355.v1
title: Public Perceptions of Artists, United States, 2017, 2019, 2022
title: Version 1

description: This study provides cross-sectional data from a nationally representative survey that collected data on public perceptions of artists.
The data were collected in March 2017, August 2019, and April 2022; the development of the survey instrument and results from its pilot test are documented in Novak-Leonard and Skaggs (2017). In each wave, a core set of questions is repeated while additional wave-specific questions are uniquely added on matters germane to arts policy within the United States.
Each survey wave has been administered through the AmeriSpeak Panel, a probability-based panel designed to be representative of the U.S. household population, operated by NORC at the University of Chicago. The survey was offered in both in English and Spanish and fielded through both a web-based survey and phone interviews. The data are weighted using sampling weights provided by AmeriSpeak, accounting for age, gender, U.S. Census geographic divisions, education levels, and race/ethnicity. In 2017, the resulting sample was 1,110 adult respondents (age 18 and older); in 2019, the resulting sample contained 1,002 adult respondents; and, in 2022, 1,033 adult respondents.
description: In each wave participants were asked about seeing or interacting with artists in their community in the last 12 months, descriptions of the artists' roles or work in communities, social relationships with artists, locations of interactions with artists, employment and artist funding, government of culture and arts, socio-demographics, and about the amount of local artists in the community and their impact.
Additional wave-specific sections include opinions on government proposals to defund arts-relevant federal agencies, collective efficacy, and artists' contributions to local communities.
description: The data are weighted using sampling weights provided by AmeriSpeak accounting for age, gender, U.S. Census geographic divisions, education levels, and race/ethnicity.
description: Response Rates: In 2017, the resulting sample was 1,110 adult respondents (age 18 and older); in 2019, the resulting sample contained 1,002 adult respondents; and, in 2022, 1,033 adult respondents.
description: Datasets: 
DS0: Study-Level Files
DS1: 2017 Data
DS2: 2019 Data
DS3: 2022 Data
description: Smallest Geographic Unit: State
description: telephone interview; web-based survey
DOI: 10.3886/icpsr39355
title: Public Perceptions of Artists, United States, 2017, 2019, 2022
title: Archival Version

description: This study provides cross-sectional data from a nationally representative survey that collected data on public perceptions of artists.
The data were collected in March 2017, August 2019, and April 2022; the development of the survey instrument and results from its pilot test are documented in Novak-Leonard and Skaggs (2017). In each wave, a core set of questions is repeated while additional wave-specific questions are uniquely added on matters germane to arts policy within the United States.
Each survey wave has been administered through the AmeriSpeak Panel, a probability-based panel designed to be representative of the U.S. household population, operated by NORC at the University of Chicago. The survey was offered in both in English and Spanish and fielded through both a web-based survey and phone interviews. The data are weighted using sampling weights provided by AmeriSpeak, accounting for age, gender, U.S. Census geographic divisions, education levels, and race/ethnicity. In 2017, the resulting sample was 1,110 adult respondents (age 18 and older); in 2019, the resulting sample contained 1,002 adult respondents; and, in 2022, 1,033 adult respondents.
description: In each wave participants were asked about seeing or interacting with artists in their community in the last 12 months, descriptions of the artists' roles or work in communities, social relationships with artists, locations of interactions with artists, employment and artist funding, government of culture and arts, socio-demographics, and about the amount of local artists in the community and their impact.
Additional wave-specific sections include opinions on government proposals to defund arts-relevant federal agencies, collective efficacy, and artists' contributions to local communities.
description: The data are weighted using sampling weights provided by AmeriSpeak accounting for age, gender, U.S. Census geographic divisions, education levels, and race/ethnicity.
description: Response Rates: In 2017, the resulting sample was 1,110 adult respondents (age 18 and older); in 2019, the resulting sample contained 1,002 adult respondents; and, in 2022, 1,033 adult respondents.
description: Datasets: 
DS0: Study-Level Files
DS1: 2017 Data
DS2: 2019 Data
DS3: 2022 Data
description: Smallest Geographic Unit: State
description: telephone interview; web-based survey
DOI: 10.15468/dl.tt8xfq
title: Occurrence Download

description: A dataset containing 20250 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is EMBRAPA FLORESTAS | Soil macrofauna communities in various land use systems in Jaguapitã, Paraná, Brazil"
 ]
}

 The dataset includes 20250 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0028749-250426092105405/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.9jn5f3
title: Occurrence Download

description: A dataset containing 48 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Kazakhstan",
 "TaxonKey is Saiga tatarica (Linnaeus, 1766)"
 ]
}

 The dataset includes 48 records from 8 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0028750-250426092105405/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/angpry
title: Biology of Ferula tadshikorum Pimenov and Ferula moschata (H.Reinsch) Koso-Pol. in vitro conditions

description: Data publication of approximately 141 collection specimens for type of plants
DOI: 10.17863/cam.114338.2
title: Research data supporting "MSP-tracker: a versatile vesicle tracking software tool used to reveal the spatial control of polarized secretion in Drosophila epithelial cells"

description: The new version includes all of the timelapse movies used to track Cadherin99c and Nidogen vesicles using the Zeiss airyscan microscope, to enable others to verify our results if they desire. Please refer to the README file.
DOI: 10.6084/m9.figshare.29052419
title: Supplemental Files

description: Supplemental files
DOI: 10.5281/zenodo.15350236
title: Binding of SARS-CoV-1/2 NSP1 to DNA Polymerase α-Primase Inhibits DNA Replication through Reduction of Interaction between DNA and  DNA Polymerase α-Primase
DOI: 10.5281/zenodo.15350237
title: Binding of SARS-CoV-1/2 NSP1 to DNA Polymerase α-Primase Inhibits DNA Replication through Reduction of Interaction between DNA and  DNA Polymerase α-Primase
DOI: 10.5281/zenodo.15399000
title: Binding of SARS-CoV-1/2 NSP1 to DNA Polymerase α-Primase Inhibits DNA Replication through Reduction of Interaction between DNA and  DNA Polymerase α-Primase
DOI: 10.5066/f73t9f9n
title: Mercury and dragonflies in National Parks across the USA (2014)
DOI: 10.5517/ccdc.csd.cc2bv46k
title: CCDC 2170068: Experimental Crystal Structure Determination

description: Related Article: Riya Ghosh, Rakesh Mazumdar, Bapan Samanta, Shankhadeep Saha, Biplab Mondal|2025|Dalton Trans.|54|7793|doi:10.1039/D5DT00009B
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.cc2bv47l
title: CCDC 2170069: Experimental Crystal Structure Determination

description: Related Article: Riya Ghosh, Rakesh Mazumdar, Bapan Samanta, Shankhadeep Saha, Biplab Mondal|2025|Dalton Trans.|54|7793|doi:10.1039/D5DT00009B
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.cc2bv48m
title: CCDC 2170070: Experimental Crystal Structure Determination

description: Related Article: Riya Ghosh, Rakesh Mazumdar, Bapan Samanta, Shankhadeep Saha, Biplab Mondal|2025|Dalton Trans.|54|7793|doi:10.1039/D5DT00009B
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.cc2bv49n
title: CCDC 2170071: Experimental Crystal Structure Determination

description: Related Article: Riya Ghosh, Rakesh Mazumdar, Bapan Samanta, Shankhadeep Saha, Biplab Mondal|2025|Dalton Trans.|54|7793|doi:10.1039/D5DT00009B
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.cc2j4n3g
title: CCDC 2328165: Experimental Crystal Structure Determination

description: Related Article: Chong Ma, Yihao Xia, Xue Ding, Lei Qin, Zhiping Zheng|2025|Dalton Trans.|54|7785|doi:10.1039/D5DT00387C
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.cc2j4n4h
title: CCDC 2328166: Experimental Crystal Structure Determination

description: Related Article: Chong Ma, Yihao Xia, Xue Ding, Lei Qin, Zhiping Zheng|2025|Dalton Trans.|54|7785|doi:10.1039/D5DT00387C
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.cc2k2x7t
title: CCDC 2356286: Experimental Crystal Structure Determination

description: Related Article: Prashant Kukreti, Rahul Chauhan, Yutaka Hitomi, Kaushik Ghosh|2025|Dalton Trans.|54|7707|doi:10.1039/D4DT03244F
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.cc2k2x8v
title: CCDC 2356287: Experimental Crystal Structure Determination

description: Related Article: Prashant Kukreti, Rahul Chauhan, Yutaka Hitomi, Kaushik Ghosh|2025|Dalton Trans.|54|7707|doi:10.1039/D4DT03244F
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.cc2kpmrn
title: CCDC 2374282: Experimental Crystal Structure Determination

description: Related Article: Ryan K. Brown, Joseph N. Bunyan, Ashi Agrawal, Guoyu Li, Dominykas Dautoras, Jagodish C. Sarker, Terng Tor Keat, Thomas Hicks, Graeme Hogarth, David Pugh|2025|Dalton Trans.|54|7627|doi:10.1039/D5DT00240K
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.cc2kpmsp
title: CCDC 2374283: Experimental Crystal Structure Determination

description: Related Article: Ryan K. Brown, Joseph N. Bunyan, Ashi Agrawal, Guoyu Li, Dominykas Dautoras, Jagodish C. Sarker, Terng Tor Keat, Thomas Hicks, Graeme Hogarth, David Pugh|2025|Dalton Trans.|54|7627|doi:10.1039/D5DT00240K
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.cc2kpmws
title: CCDC 2374286: Experimental Crystal Structure Determination

description: Related Article: Ryan K. Brown, Joseph N. Bunyan, Ashi Agrawal, Guoyu Li, Dominykas Dautoras, Jagodish C. Sarker, Terng Tor Keat, Thomas Hicks, Graeme Hogarth, David Pugh|2025|Dalton Trans.|54|7627|doi:10.1039/D5DT00240K
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.cc2kpmxt
title: CCDC 2374287: Experimental Crystal Structure Determination

description: Related Article: Ryan K. Brown, Joseph N. Bunyan, Ashi Agrawal, Guoyu Li, Dominykas Dautoras, Jagodish C. Sarker, Terng Tor Keat, Thomas Hicks, Graeme Hogarth, David Pugh|2025|Dalton Trans.|54|7627|doi:10.1039/D5DT00240K
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.cc2kwc4z
title: CCDC 2379781: Experimental Crystal Structure Determination

description: Related Article: E. A. Sanzhenakova, K. S. Smirnova, I. P. Pozdnyakov, A. S. Berezin, V. I. Potkin, E. V. Lider|2025|Dalton Trans.|54|7810|doi:10.1039/D5DT00127G
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.cc2kwc50
title: CCDC 2379782: Experimental Crystal Structure Determination

description: Related Article: E. A. Sanzhenakova, K. S. Smirnova, I. P. Pozdnyakov, A. S. Berezin, V. I. Potkin, E. V. Lider|2025|Dalton Trans.|54|7810|doi:10.1039/D5DT00127G
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.cc2kwc61
title: CCDC 2379783: Experimental Crystal Structure Determination

description: Related Article: E. A. Sanzhenakova, K. S. Smirnova, I. P. Pozdnyakov, A. S. Berezin, V. I. Potkin, E. V. Lider|2025|Dalton Trans.|54|7810|doi:10.1039/D5DT00127G
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.cc2l78x1
title: CCDC 2390283: Experimental Crystal Structure Determination

description: Related Article: Amlan Ranjan Rayasingh, Vadivelu Manivannan|2025|Dalton Trans.|54|7741|doi:10.1039/D5DT00346F
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.