cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.13012/b2idb-2905024_v1
title: Data from: Dynamic, multi-scale analyses indicate site- and landscape-level forest cover drive Yellow-billed and Black-billed Cuckoo interannual turnover

description: Data in this publication were used to examine the effects of habitat and landscape-level covariates on occupancy and interannual dynamics and the effects of environmental factors on detection of Black-billed Cuckoos and Yellow-billed Cuckoos. Data were collected between 2019-2020 in northern Illinois, USA. Procedures were approved by the Illinois Institutional Animal Care and Use Committee (IACUC), protocol no. 19086.
DOI: 10.48623/aperta.263328
title: Sanal Gerçeklik Destekli Video Modellemenin Yüzme Performansına Etkisi: Acemi Yüzücüler Üzerinde Bir İnceleme

description: Yüzmede motor beceri ediniminin karmaşık dinamiklerini anlamak, etkili eğitim programları için kritik öneme sahiptir. Sanal gerçeklik ve artırılmış gerçeklik gibi teknolojideki gelişmeler, bu alanda öğrenme ve performansı artırmak için yeni fırsatlar sunmaktadır. Bu bağlamda yapılan araştırma sanal gerçeklik (VR) tabanlı video modellemenin acemi yüzücülerde yüzme performansına etkisini araştırmayı amaçlamaktadır.

Araştırma yüzmede, kulaç sayısı, hız, ayak vuruş sıklığı, kalp atış hızı ve algılanan efor gibi temel performans parametrelerine odaklanmaktadır. Araştırmaya toplam 55 üniversite öğrencisi katılmıştır. Katılımcılar VR modellemenin yanı sıra geleneksel yüzme eğitimi alan deney (n=28) ve yalnızca geleneksel yüzme eğitimi alan kontrol gruplarına (n=27) rastgele atanmıştır. Bulgular, sanal gerçeklik tabanlı video modellemenin acemi yüzücülerde kulaç sayısı, hız, ayak vuruş sıklığı ve algılanan efor gibi çeşitli performans parametrelerini önemli ölçüde geliştirdiğini ortaya koymaktadır. Bununla birlikte, kalp atış hızı hızında deney ve kontrol grubunda anlamlı bir fark gözlenmemiştir.

Sonuç olarak yapılan araştırma bulguları motor beceri kazanımında geleneksel eğitimlere kıyasla sanal gerçeklik gibi teknolojilerin kullanıldığı video modelleme antrenmanlarının daha etkili olabileceğini göstermiştir. Ayrıca sanal gerçeklik tabanlı video modellemenin bilişsel yükü azaltma, gözlemsel öğrenmeyi teşvik etme ve motor korteks plastisitesini uyarma potansiyelinin altını çizmektedir. Bu bulguların sonuçları, gelecekteki yüzme eğitim programlarını bilgilendirebilir ve spor öğrenimi ve performansı araştırmaları için yeni yönler önerebilir.
DOI: 10.6084/m9.figshare.24856164
title: BMI_provider_sat_data.sav

description: Data are from the HATCH Project (P20GM109097), a study conducted by Research Project Leader Karina Shreffler. Additional data will be provided from Dr. Shreffler upon reasonable request.
DOI: 10.6084/m9.figshare.24856368
title: Testing the Accuracy of Wildlife Insight in Detecting Animal Presence.

description: Here we tested the accuracy of utilizing the automatic application, Wildlife Insight, in accurately detecting and identifying observed animal species. We compared over 1500 processed images fro wildlife insight with the same 1500 images visually processed by observers to determine the accuracy of this application.
DOI: 10.6084/m9.figshare.21454413.v2
title: MUG: a Multimodal Classification Benchmark on Game Data with Tabular, Textual, and Visual Fields

description: The data used in this benchmark is collected from the Internet, and can only be used for research purposes.
<br>
License: <strong>CC BY-NC-SA 4.0</strong>
DOI: 10.6084/m9.figshare.21454413
title: MuG: a Multimodal Classification Benchmark on Game Data with Tabular, Textual, and Visual Fields

description: MuG DatasetData of the <i>Findings of EMNLP'23</i> paper "MuG: A Multimodal Classification Benchmark on Game Data with Tabular, Textual, and Visual Fields".The data used in this benchmark is collected from the Internet, and can only be used for research purposes. For detailed instructions, please refer to our GitHub repo: https://github.com/lujiaying/MUG-Bench.<br>License: <b>CC BY-NC-SA 4.0</b>
DOI: 10.5281/zenodo.10403150
title: Byrd Polar and Climate Research Center Ice Core Paleoclimatology Datasets in a Standardized Excel Format

description: All published datasets from the ice core paleoclimatology (ICP) group at the Byrd Polar and Climate Research Center (BPCRC) are archived in the NOAA-NCEI Paleoclimatology Database (https://www.ncei.noaa.gov/access/paleo-search/?dataTypeId=7). However, the formatting of these datasets is not consistent across the archival files, making it difficult to download and aggregate multiple datasets for research purposes. This repository is intended to provide a simple, consistently formatted archive of Excel files containing the published data for more than 16 ice core records collected by the BPCRC-ICP group since the 1980s. 


These files can be accessed directly in MATLAB with the assistance of the Byrd-ICP Data App, downloadable on Github (https://github.com/weber1158/Byrd-ICP-Data-App).


The file "2023-ByrdICP-datasets.xlsx " contains a column for each ice core location and a list of the sheet names within the corresponding Excel file for that ice core location. 
description: V1.2.0 Added new datasets for the Elbrus and Guliya ice core records. Updated "2023-ByrdICP-datasets.xlsx".
DOI: 10.5281/zenodo.8353856
title: Byrd Polar and Climate Research Center Ice Core Paleoclimatology Datasets in a Standardized Excel Format

description: All published datasets from the ice core paleoclimatology (ICP) group at the Byrd Polar and Climate Research Center (BPCRC) are archived in the NOAA-NCEI Paleoclimatology Database (https://www.ncei.noaa.gov/access/paleo-search/?dataTypeId=7). However, the formatting of these datasets is not consistent across the archival files, making it difficult to download and aggregate multiple datasets for research purposes. This repository is intended to provide a simple, consistently formatted archive of Excel files containing the published data for more than 16 ice core records collected by the BPCRC-ICP group since the 1980s. 


These files can be accessed directly in MATLAB with the assistance of the Byrd-ICP Data App, downloadable on Github (https://github.com/weber1158/Byrd-ICP-Data-App).


The file "2023-ByrdICP-datasets.xlsx " contains a column for each ice core location and a list of the sheet names within the corresponding Excel file for that ice core location. 
description: V1.2.0 Added new datasets for the Elbrus and Guliya ice core records. Updated "2023-ByrdICP-datasets.xlsx".
DOI: 10.5281/zenodo.8353857
title: Byrd Polar and Climate Research Center Ice Core Paleoclimatology Datasets in a Standardized Excel Format

description: All published datasets from the ice core paleoclimatology (ICP) group at the Byrd Polar and Climate Research Center (BPCRC) are archived in the NOAA-NCEI Paleoclimatology Database (https://www.ncei.noaa.gov/access/paleo-search/?dataTypeId=7). However, the formatting of these datasets is not consistent across the archival files, making it difficult to download and aggregate multiple datasets for research purposes. This repository is intended to provide a simple, consistently formatted archive of Excel files containing the published data for more than 16 ice core records collected by the BPCRC-ICP group since the 1980s. The file "2023-ByrdICP-datasets.xlsx " contains a column for each ice core location and a list of the sheet names within the corresponding Excel file for that ice core location.
DOI: 10.5281/zenodo.8427843
title: Byrd Polar and Climate Research Center Ice Core Paleoclimatology Datasets in a Standardized Excel Format

description: All published datasets from the ice core paleoclimatology (ICP) group at the Byrd Polar and Climate Research Center (BPCRC) are archived in the NOAA-NCEI Paleoclimatology Database (https://www.ncei.noaa.gov/access/paleo-search/?dataTypeId=7). However, the formatting of these datasets is not consistent across the archival files, making it difficult to download and aggregate multiple datasets for research purposes. This repository is intended to provide a simple, consistently formatted archive of Excel files containing the published data for more than 16 ice core records collected by the BPCRC-ICP group since the 1980s. These files can be accessed directly in MATLAB with the assistance of the Byrd-ICP Data App, downloadable on Github (https://github.com/weber1158/Byrd-ICP-Data-App). The file "2023-ByrdICP-datasets.xlsx " contains a column for each ice core location and a list of the sheet names within the corresponding Excel file for that ice core location.
description: V1.1.0. Fixed column-duplication issue in the Puncak Jaya rainfall isotope data.
DOI: 10.5281/zenodo.10403088
title: SSCS and DCS fastq data for AKR conplastic mice mitochondrial DNA profiling

description: The SSCS and DCS fq files for AKR conplastic mice associated with https://doi.org/10.5281/zenodo.10127101 repo.
DOI: 10.5281/zenodo.10403087
title: SSCS and DCS fastq data for AKR conplastic mice mitochondrial DNA profiling

description: The SSCS and DCS fq files for AKR conplastic mice associated with https://doi.org/10.5281/zenodo.10127101 repo.
DOI: 10.7274/24857100
title: Final Department Rankings

description: Ranking Relevance, II project
DOI: 10.7274/24857100.v1
title: Final Department Rankings

description: Ranking Relevance, II project
DOI: 10.5281/zenodo.10403214
title: Water Quality Data for Narragansett Bay, RI (USA) from 2014 to 2022

description: This dataset includes results of a monthly monitoring program conducted in Narragansett Bay, RI (USA)between January 2014 and December 2022. Eight stations were sampled at three depths (surface, mid-depth,and bottom) using a combination of sondes, secchi disk, and discrete water collections. Watersamples were processed in laboratory immediately after collection to be either filtered, preserved, orstored and then later analyzed for chlorophyll-a, dissolved inorganic nutrients (nitrate+nitrite, nitrite,ammonium, and orthophosphate), dissolved organic carbon, stable isotopes of particulate carbon andnitrogen, and total suspended solids. These water quality data are being made available to use, inconjunction with pre-existing datasets collected by others, to better understand the ecological dynamicsof the Narragansett Bay ecosystem.
DOI: 10.5281/zenodo.10403215
title: Water Quality Data for Narragansett Bay, RI (USA) from 2014 to 2022

description: This dataset includes results of a monthly monitoring program conducted in Narragansett Bay, RI (USA)between January 2014 and December 2022. Eight stations were sampled at three depths (surface, mid-depth,and bottom) using a combination of sondes, secchi disk, and discrete water collections. Watersamples were processed in laboratory immediately after collection to be either filtered, preserved, orstored and then later analyzed for chlorophyll-a, dissolved inorganic nutrients (nitrate+nitrite, nitrite,ammonium, and orthophosphate), dissolved organic carbon, stable isotopes of particulate carbon andnitrogen, and total suspended solids. These water quality data are being made available to use, inconjunction with pre-existing datasets collected by others, to better understand the ecological dynamicsof the Narragansett Bay ecosystem.
DOI: 10.18739/a27m04222
title: Parameters and code for estimating methane emissions from Arctic-boreal lakes, 2022

description: This data set accompanies a paper (Kyzivat & Smith, 2023, https://doi.org/10.1029/2023GL104825) looking at the relative importance of three variables in upscaling Arctic lake methane emissions: the area of small, non-inventoried lakes; lake aquatic vegetation coverage; and potential double counting with wetlands. A baseline bottom-up emissions estimate based on temperature and lake area is provided for all inventoried lakes within the Boreal-Arctic Wetland and Lake Dataset (BAWLD, Olefeldt et al., 2021, https://doi.org/10.18739/A2C824F9X), with estimates for extrapolated lake area bins below the inventory resolution. The data set includes two comma separated value (CSV) files with an index column corresponding to either lakes in the HydroLAKES inventory (Messager et al., 2016; https://www.hydrosheds.org/products/hydrolakes), or grid cells in BAWLD. The global surface water data set (GSW, Pekel et al., 2016) was used to derive lake aquatic vegetation (LAV) and potential wetland double-counting, defined as areas within lakes corresponding to less than 50% water occurrence. A third CSV dataset provides estimates for lake and aquatic vegetation areas and methane emissions for extrapolated area bins corresponding to lakes below the 0.5 km2 inventory threshold used in the paper. The python package developed for this data analysis is also included. Further details are given below and in the accompanying publication.
DOI: 10.6084/m9.figshare.13530209.v2
title: The Winchmore long-term Fertiliser and Irrigation Trial data

description: There are two files containing the soil chemistry data for the Fertiliser and Irrigation trials and two files containing pasture production and botanical composition data. Data are also available for irrigation schedules and soil moisture, temperature and physical measures for the Irrigation trial. Note that the Fertiliser trial was irrigated on the same three-weekly schedule as the Irrigation trial. All files have information concerning the trial design and metadata included in the first two tabs.<br>Please complete the data use form and send it to winchmore@agresearch.co.nz.
DOI: 10.34740/kaggle/dsv/7233054
title: gifts_eua_uk_19/22
DOI: 10.6084/m9.figshare.24734454
title: Supplemental Table S2

description: Mean ± standard error (SE), minimum, and maximum values for the parameters a, b, c, d, and f from the Ali Schaffer, Wilmink, and Wood lactation models, milk (MY), fat (FY), protein (PY), and <i>mozzarella</i> (MZY) yields, fat-to-protein ratio (FPR), and somatic cell score (SCS). Features of the marginal posterior distributions of heritability and highest probability density (HPD) of lactation curve parameters from different nonlinear models for each parameter.
DOI: 10.5281/zenodo.10401639
title: Distinct Intratumoral Microbiome of Young-Onset and Average-Onset Colorectal Cancer

description: Raw 16S rRNA Amplicon sequencing Data.
DOI: 10.5281/zenodo.10401638
title: Distinct Intratumoral Microbiome of Young-Onset and Average-Onset Colorectal Cancer

description: Raw 16S rRNA Amplicon sequencing Data.
DOI: 10.5281/zenodo.10403241
title: H -> Za, a->gg OmniFold dataset

description: Dataset used in the publication "Preserving New Physics while Simultaneously Unfolding All Observables". The dataset consists of the main signal used in  the paper: 250 GeV scalar decays to Z and a 16 GeV pseudoscalar, which decays into a pair of gluons, H -> Za, a->gg.Once you load the file, there are 10 dictionaries:gen_nsubsgen_sdmsgen_zgsgen_multsgen_n95ssim_nsubssim_sdmssim_zgssim_multssim_n95sThese are simply arrays for the particle-level and detector-level observables for the MultiFold dataset.
DOI: 10.5281/zenodo.10403242
title: H -> Za, a->gg OmniFold dataset

description: Dataset used in the publication "Preserving New Physics while Simultaneously Unfolding All Observables". The dataset consists of the main signal used in  the paper: 250 GeV scalar decays to Z and a 16 GeV pseudoscalar, which decays into a pair of gluons, H -> Za, a->gg.Once you load the file, there are 10 dictionaries:gen_nsubsgen_sdmsgen_zgsgen_multsgen_n95ssim_nsubssim_sdmssim_zgssim_multssim_n95sThese are simply arrays for the particle-level and detector-level observables for the MultiFold dataset.
DOI: 10.7274/24857379
title: Department Rank Compare Tables

description: Ranking Relevance, II project
DOI: 10.7274/24857379.v1
title: Department Rank Compare Tables

description: Ranking Relevance, II project
DOI: 10.25505/fiz.icsd.cc26q436
title: CSD 2047057: Experimental Crystal Structure Determination

description: Related Article: Hang Liu, Yanhong Wang, Yadong Zhou, Shuang Li, Yaling Dou, Tao Wang, Hongcheng Lu|2022|Inorg.Chem.|61|17838|doi:10.1021/acs.inorgchem.2c03167
description: An entry from the Inorganic Crystal Structure Database, the world’s repository for inorganic crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the joint CCDC and FIZ Karlsruhe Access Structures service and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.25505/fiz.icsd.cc26v27d
title: CSD 2050843: Experimental Crystal Structure Determination

description: Related Article: Hong-Xin Tang, Rui-Biao Fu, Zu-Ju Ma, Xin-Tao Wu|2023|J.Alloys Compd.|945|169288|doi:10.1016/j.jallcom.2023.169288
description: Related Article: Hong-Xin Tang|2022|ICSD Communication|||
description: An entry from the Inorganic Crystal Structure Database, the world’s repository for inorganic crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the joint CCDC and FIZ Karlsruhe Access Structures service and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc26lwj7
title: CCDC 2043939: Experimental Crystal Structure Determination

description: Related Article: Yu-Qiao Su, Ruo-Tong Wang, Olga A. Blatova, Yong-Sheng Shi, Guang-Hua Cui|2022|CrystEngComm|24|182|doi:10.1039/D1CE01447A
description: Related Article: Xu-Peng Zhang, Lianshe Fu, Olga A. Blatova, Guang-Hua Cui|2023|J.Solid State Chem.|324|124124|doi:10.1016/j.jssc.2023.124124
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: 10.25505/fiz.icsd.cc26w7r3
title: CSD 2051975: Experimental Crystal Structure Determination

description: Related Article: Felix Christian Goerigk, Ralf Locke, Thomas Schleid|2021|Z.Krist. - Supplement issues|41|78|
description: An entry from the Inorganic Crystal Structure Database, the world’s repository for inorganic crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the joint CCDC and FIZ Karlsruhe Access Structures service and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.25505/fiz.icsd.cc2707vc
title: CSD 2055822: Experimental Crystal Structure Determination

description: Related Article: Dmitri O. Charkin, Sergey N. Volkov, Vasili Yu Grishaev, Valeri A. Dolgikh, Alexey N. Kuznetsov, Dina V. Deyneko, Konstantin A. Lyssenko, Sergey M. Aksenov|2023|J.Solid State Chem.|320|123822|doi:10.1016/j.jssc.2022.123822
description: An entry from the Inorganic Crystal Structure Database, the world’s repository for inorganic crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the joint CCDC and FIZ Karlsruhe Access Structures service and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.25505/fiz.icsd.cc2707wd
title: CSD 2055823: Experimental Crystal Structure Determination

description: Related Article: Dmitri O. Charkin, Sergey N. Volkov, Vasili Yu Grishaev, Valeri A. Dolgikh, Alexey N. Kuznetsov, Dina V. Deyneko, Konstantin A. Lyssenko, Sergey M. Aksenov|2023|J.Solid State Chem.|320|123822|doi:10.1016/j.jssc.2022.123822
description: An entry from the Inorganic Crystal Structure Database, the world’s repository for inorganic crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the joint CCDC and FIZ Karlsruhe Access Structures service and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.25505/fiz.icsd.cc274k10
title: CSD 2059951: Experimental Crystal Structure Determination

description: Related Article: Lawrence V. D. Gammond, Henry Auer, Rita Mendes Da Silva, Anita Zeidler, Jairo F. Ortiz-Mosquera, Adriana M. Nieto-Muñoz, Ana Candida M. Rodrigues, Igor d’Anciães Almeida Silva, Hellmut Eckert, Chris J. Benmore, Philip S. Salmon|2021|AIP J.Chem.Phys.|155|074501|doi:10.1063/5.0049399
description: Related Article: Lawrence V.D. Gammond, Henry Auer, Rita Mendes Da Silva, Anita Zeidler, Jairo F. Ortiz-Mosquera, Adriana M. Nieto-MuA A{+/-}oz, Ana Candida M. Rodrigues, Igor dA{cent}a {not}a {cent}AnciA A{pound}es Almeida Silva, Hellmut Eckert, Chris J. Benmore, Philip S. Salmon|2021|AIP J.Chem.Phys.|155|74501|
description: An entry from the Inorganic Crystal Structure Database, the world’s repository for inorganic crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the joint CCDC and FIZ Karlsruhe Access Structures service and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.25505/fiz.icsd.cc274k21
title: CSD 2059952: Experimental Crystal Structure Determination

description: Related Article: Lawrence V. D. Gammond, Henry Auer, Rita Mendes Da Silva, Anita Zeidler, Jairo F. Ortiz-Mosquera, Adriana M. Nieto-Muñoz, Ana Candida M. Rodrigues, Igor d’Anciães Almeida Silva, Hellmut Eckert, Chris J. Benmore, Philip S. Salmon|2021|AIP J.Chem.Phys.|155|074501|doi:10.1063/5.0049399
description: Related Article: Lawrence V.D. Gammond, Henry Auer, Rita Mendes Da Silva, Anita Zeidler, Jairo F. Ortiz-Mosquera, Adriana M. Nieto-MuA A{+/-}oz, Ana Candida M. Rodrigues, Igor dA{cent}a {not}a {cent}AnciA A{pound}es Almeida Silva, Hellmut Eckert, Chris J. Benmore, Philip S. Salmon|2021|AIP J.Chem.Phys.|155|74501|
description: An entry from the Inorganic Crystal Structure Database, the world’s repository for inorganic crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the joint CCDC and FIZ Karlsruhe Access Structures service and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.25505/fiz.icsd.cc274k32
title: CSD 2059953: Experimental Crystal Structure Determination

description: Related Article: Lawrence V. D. Gammond, Henry Auer, Rita Mendes Da Silva, Anita Zeidler, Jairo F. Ortiz-Mosquera, Adriana M. Nieto-Muñoz, Ana Candida M. Rodrigues, Igor d’Anciães Almeida Silva, Hellmut Eckert, Chris J. Benmore, Philip S. Salmon|2021|AIP J.Chem.Phys.|155|074501|doi:10.1063/5.0049399
description: Related Article: Lawrence V.D. Gammond, Henry Auer, Rita Mendes Da Silva, Anita Zeidler, Jairo F. Ortiz-Mosquera, Adriana M. Nieto-MuA A{+/-}oz, Ana Candida M. Rodrigues, Igor dA{cent}a {not}a {cent}AnciA A{pound}es Almeida Silva, Hellmut Eckert, Chris J. Benmore, Philip S. Salmon|2021|AIP J.Chem.Phys.|155|74501|
description: An entry from the Inorganic Crystal Structure Database, the world’s repository for inorganic crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the joint CCDC and FIZ Karlsruhe Access Structures service and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.