cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.7625615
title: Raw data files associated with the paper "Beyond generalists: the Brassicaceae pollen specialist Osmia brevicornis as a prospective model organism when exploring pesticide risk to bees"

description: These are the raw data CSV files associated with the results described in the paper "Beyond generalists: the Brassicaceae pollen specialist Osmia brevicornis as a prospective model organism when exploring pesticide risk to bees".


By Sara Hellström, Verena Strobl, Lars Straub, Wilhelm H. A. Osterman, Robert J. Paxton, Julia Osterman
DOI: 10.5281/zenodo.6727631
title: Intraspecific variation in the sensitivity of bees to pesticides: a comparative analysis in Bombus terrestris and Osmia bicornis

description: These files describe the archived CSV files associated with the paper "Intraspecific variation in the sensitivity of bees to pesticides: a comparative analysis in Bombus terrestris and Osmia bicornis" By Alberto Linguadoca, Margret Jürison, Sara Hellström, Edward A. Straw1, Peter Šima, Reet Karise, Cecilia Costa, Giorgia Serra, Roberto Colombo, Robert J. Paxton, Marika Mänd, Mark J. F. Brown<br>
DOI: 10.5281/zenodo.7046190
title: Intraspecific variation in the sensitivity of bees to pesticides: a comparative analysis in Bombus terrestris and Osmia bicornis

description: These files describe the archived CSV files associated with the paper "Intraspecific variation in the sensitivity of bees to pesticides: a comparative analysis in Bombus terrestris and Osmia bicornis" By Alberto Linguadoca, Margret Jürison, Sara Hellström, Edward A. Straw1, Peter Šima, Reet Karise, Cecilia Costa, Giorgia Serra, Roberto Colombo, Robert J. Paxton, Marika Mänd, Mark J. F. Brown<br>
DOI: 10.5281/zenodo.6727630
title: Intraspecific variation in the sensitivity of bees to pesticides: a comparative analysis in Bombus terrestris and Osmia bicornis

description: These files describe the archived CSV files associated with the publication "Intra-specific variation in sensitivity of Bombus terrestris and Osmia bicornis to three pesticides"

By Alberto Linguadoca, Margret Jürison, Sara Hellström, Edward A. Straw1, Peter Šima, Reet Karise, Cecilia Costa, Giorgia Serra, Roberto Colombo, Robert J. Paxton, Marika Mänd, Mark J. F. Brown
DOI: 10.5281/zenodo.7065152
title: Intraspecific variation in the sensitivity of bees to pesticides: a comparative analysis in Bombus terrestris and Osmia bicornis

description: These files describe the archived CSV files associated with the publication "Intra-specific variation in sensitivity of Bombus terrestris and Osmia bicornis to three pesticides"

By Alberto Linguadoca, Margret Jürison, Sara Hellström, Edward A. Straw1, Peter Šima, Reet Karise, Cecilia Costa, Giorgia Serra, Roberto Colombo, Robert J. Paxton, Marika Mänd, Mark J. F. Brown
DOI: 10.5281/zenodo.10839849
title: Zebra finch dataset for the paper: Benchmarking nearest neighbor retrieval of zebra finch vocalizations across development

description: This is the dataset created in the paper "Benchmarking nearest neighbor retrieval of zebra finch vocalizations across development".
DOI: 10.5281/zenodo.10839850
title: Zebra finch dataset for the paper: Benchmarking nearest neighbor retrieval of zebra finch vocalizations across development

description: This is the dataset created in the paper "Benchmarking nearest neighbor retrieval of zebra finch vocalizations across development".
DOI: 10.25345/c5rr1pz23
title: MassIVE MSV000094361 - An accessible workflow for high sensitivity proteomics using Parallel Accumulation-Serial Fragmentation (PASEF)
title: Deep and accurate proteome analysis is crucial for understanding cellular processes and disease mechanisms, however, it is also challenging to implement in routine settings. In this protocol we combine a robust and accessible chromatographic platform with an equally robust but high-performance mass spectrometric set up, to enable routine yet in-depth proteome coverage for a broad community. This entails tip-based sample preparation and pre-formed gradients combined with trapped ion mobility - quadrupole - time-of-flight mass spectrometry. It enables parallel accumulation - serial fragmentation (PASEF), in which all ions are used but spectra are resolved by ion mobility. Combined with data-independent acquisition (dia-PASEF), it offers high peak sampling rates and near-complete ion coverage. Here we explain how to balance quantitative accuracy, specificity, proteome coverage, and sensitivity by choosing best PASEF and DIA method parameters. The protocol streamlines the liquid chromatography - mass spectrometry setup and enables PASEF method generation and evaluation for varied samples. Our py_diAID tool automatically generates acquisition schemes where isolation windows are optimally positioned on the mass-to-charge and ion mobility plane. Hands-on time is three hours, and simple biological projects can be performed in three days. The implementation shown here allows reproducible quantification of 7,300 proteins in a human cancer cell line in 21 min with quadruplicate single-shot injections and 27,000 phosphosites in 21 min from for phospho-enriched quadruplicates. Synchro-PASEF, a next-generation scan mode, mirrored the proteomic depth of dia-PASEF, but when analyzed with AlphaDIA, it showed superior quantitative reproducibility due to its very short cycle times.
DOI: 10.5517/ccy97ct
title: CCDC 872816: Experimental Crystal Structure Determination

description: Related Article: Shao-Ming Ying,Feng Chen,Xiao-Hui Huang,Jin-Yu Xie|2013|Jiegou Huaxue|32|193|
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.cc2gks4z
title: CCDC 2281201: Experimental Crystal Structure Determination

description: Related Article: Yi Yin, Rong Luo, Wen Wang, Rui Wang, Nan Jiang, Peng Chen, Hai-Jun Yu, Shuang-Yu Bi, Feng Shao|2024|Dalton Trans.|53|5544|doi:10.1039/D3DT03546H
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.cc2fsgxm
title: CCDC 2257851: Experimental Crystal Structure Determination

description: Related Article: Nataliya S. Rukk, Grigorii A. Buzanov, Nikita S. Kabernik, Lyudmila G. Kuzmina, Nikolay N. Efimov, Ravshan S. Shamsiev, Vladimir A. Lazarenko, Taisiya V. Ivanova, Evgeniya I. Kozhukhova, Svetlana K. Belus, Vasilii M. Retivov, Alexandra I. Ivanova|2024|Inorg.Chim.Acta|566|122007|doi:10.1016/j.ica.2024.122007
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.cc2fsgyn
title: CCDC 2257852: Experimental Crystal Structure Determination

description: Related Article: Nataliya S. Rukk, Grigorii A. Buzanov, Nikita S. Kabernik, Lyudmila G. Kuzmina, Nikolay N. Efimov, Ravshan S. Shamsiev, Vladimir A. Lazarenko, Taisiya V. Ivanova, Evgeniya I. Kozhukhova, Svetlana K. Belus, Vasilii M. Retivov, Alexandra I. Ivanova|2024|Inorg.Chim.Acta|566|122007|doi:10.1016/j.ica.2024.122007
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.cc2fsgzp
title: CCDC 2257853: Experimental Crystal Structure Determination

description: Related Article: Nataliya S. Rukk, Grigorii A. Buzanov, Nikita S. Kabernik, Lyudmila G. Kuzmina, Nikolay N. Efimov, Ravshan S. Shamsiev, Vladimir A. Lazarenko, Taisiya V. Ivanova, Evgeniya I. Kozhukhova, Svetlana K. Belus, Vasilii M. Retivov, Alexandra I. Ivanova|2024|Inorg.Chim.Acta|566|122007|doi:10.1016/j.ica.2024.122007
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.cc2gxplp
title: CCDC 2291693: Experimental Crystal Structure Determination

description: Related Article: Paweł Pakulski, Michał Magott, Szymon Chorazy, Marcin Sarewicz, Monika Srebro-Hooper, Dominika Tabor, Łukasz Łapok, Dariusz Szczepanik, Selvan Demir, Dawid Pinkowicz|2024|Chem (Cell Press)|10|971|doi:10.1016/j.chempr.2023.12.024
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.cc2gywy8
title: CCDC 2292851: Experimental Crystal Structure Determination

description: Related Article: Paweł Pakulski, Michał Magott, Szymon Chorazy, Marcin Sarewicz, Monika Srebro-Hooper, Dominika Tabor, Łukasz Łapok, Dariusz Szczepanik, Selvan Demir, Dawid Pinkowicz|2024|Chem (Cell Press)|10|971|doi:10.1016/j.chempr.2023.12.024
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: 10.5281/zenodo.10839834
title: Imidacloprid exposure through soil and its effect on Anthophora plumipes, a ground-nesting bee

description: These are the raw data files is associated with the manuscript titled "Neonicotinoid exposure through soil and its effect on Anthophora plumipes, a ground-nesting bee".
DOI: 10.5281/zenodo.10839835
title: Imidacloprid exposure through soil and its effect on Anthophora plumipes, a ground-nesting bee

description: These are the raw data files is associated with the manuscript titled "Neonicotinoid exposure through soil and its effect on Anthophora plumipes, a ground-nesting bee".
DOI: 10.5281/zenodo.10839370
title: Like-a-PRO: WP2:T2.1: Samples (Olypep/Krill hydrolysate powder) provided by Rimfrost to Like-a-PRO partners

description: The dataset provides an overview of dates, quantites and sample types sent from Rimfrost to partners in the Like-a-PRO project. All samples are specifically form the krill species: Antarctic krill (Euphausia superba).  In addition, a brief explination of intial and futher processing along with simplified goals for the samples is added in the overview. 

Contact the data collectors (contact persons) for more information regarding specifics on the processing/development and/or goals for each sample.
DOI: 10.5281/zenodo.10839371
title: Like-a-PRO: WP2:T2.1: Samples (Olypep/Krill hydrolysate powder) provided by Rimfrost to Like-a-PRO partners

description: The dataset provides an overview of dates, quantites and sample types sent from Rimfrost to partners in the Like-a-PRO project. All samples are specifically form the krill species: Antarctic krill (Euphausia superba).  In addition, a brief explination of intial and futher processing along with simplified goals for the samples is added in the overview. 

Contact the data collectors (contact persons) for more information regarding specifics on the processing/development and/or goals for each sample.
DOI: 10.5281/zenodo.10839958
title: Auslan

description: This data consists of sample of Auslan (Australian Sign Language) signs. 27 examples of each of 95 Auslan signs were captured from a native signer using high-quality position trackers.

This is a pre-processed version saved in numpy format. The original dataset and additional information can be found here.

The data are 3-dimensional arrays of shape [n_samples, time_steps, n_variables]. The data can be loaded as follows:

loaded_data = np.load("Auslan.npz")
Xtr = loaded_data['Xtr']  # Training data of shape (1140, 136, 22)
Ytr = loaded_data['Ytr']  # Training labels of shape (1140, 1)
Xte = loaded_data['Xte']  # Test data of shape (1425, 136, 22)
Yte = loaded_data['Yte']  # Test labels of shape (1425, 1)
DOI: 10.5281/zenodo.10839959
title: Auslan

description: This data consists of sample of Auslan (Australian Sign Language) signs. 27 examples of each of 95 Auslan signs were captured from a native signer using high-quality position trackers.

This is a pre-processed version saved in numpy format. The original dataset and additional information can be found here.

The data are 3-dimensional arrays of shape [n_samples, time_steps, n_variables]. The data can be loaded as follows:

loaded_data = np.load("Auslan.npz")
Xtr = loaded_data['Xtr']  # Training data of shape (1140, 136, 22)
Ytr = loaded_data['Ytr']  # Training labels of shape (1140, 1)
Xte = loaded_data['Xte']  # Test data of shape (1425, 136, 22)
Yte = loaded_data['Yte']  # Test labels of shape (1425, 1)
DOI: 10.13020/27hq-zx30
title: R Code and Output Supporting: Modeling individual variability in habitat selection and movement using integrated step-selection analyses

description: This repository contains data and R code (along with associated output from running the code) supporting all results reported in: Chatterjee, Nilanjan; Wolfson, David; Kim, Dongmin; Vélez, Juliana; Freeman, Smith; Bacheler, Nathan; Shertzer, Kyle; Taylor, J.; Fieberg, John 2024. Modelling individual variability in habitat selection and movement using integrated step-selection analysis. Methods in Ecology and Evolution. The code demonstrates how to model the individual variation in habitat selection and movement parameters using integrated step-selection analysis.
DOI: 10.25345/c5n01049x
title: MassIVE MSV000094362 - TopDIA: A Software Tool for Top-Down Data-Independent Acquisition Proteomics
title: E. coli proteins (300 ng) extracted from the sample were analyzed using an Orbitrap Fusion Lumos mass spectrometer (Thermo Fisher Scientific) coupled with an Ultimate 3000 (Thermo Fisher Scientific) reversed-phase liquid chromatography (RPLC) separation system with a C2 column (60 cm length, CoAnn Inc.). In the RPLC system, phase A was water with 0.1% formic acid (FA), and phase B was 60% acetonitrile (ACN) and 15% isopropanol (IPA) with 0.1% FA. A 98-min gradient of mobile phase B (0-5 min 5%, 5-7 min for 5% to 35%, 7-10 min for 35% to 50%, 10-97 min for 50% to 80%, 97-98 min from 80% to 99%) was applied with a flow rate of 400 nL/min. E. coli proteins were analyzed using both DDA and DIA modes. In each mode, six runs were performed separately, with each targeting a specific m/z range within the MS1 scan: 720-800, 800-880, 880-960, 960-1040, 1040-1120, and 1120-1200 m/z. MS1 spectra were collected with a resolution of 240,000 (at 200 m/z), 4 microscans, an automatic gain control (AGC) target value of 1x106, and a maximum injection time of 200 ms. MS/MS spectra were obtained with a scan range of 400-2000 m/z, a resolution of 60,000 (at 200 m/z), 1 microscan, an AGC target value of 1x106, and a maximum injection time of 500 ms. Fragmentation was performed using higher-energy collisional dissociation (HCD) with 30% NCE. In the DDA runs, the top six precursor ions from each MS1 scan were isolated with a 3 m/z window for MS/MS analysis. The dynamic exclusion was set to 60 seconds. In the DIA runs, a 4 m/z isolation window was used, resulting in a total of 20 MS/MS spectra for each cycle. Three technical replicates were obtained for each experiment.
DOI: 10.25810/fx6e-r462.59
title: European Newspaper Coverage of Climate Change or Global Warming, 2004-2024 - February 2024

description: The Media and Climate Change Observatory Data monitors 126 sources (across newspapers, radio and TV) in 58 countries in seven different regions around the world. Data is assembled by accessing archives through the Lexis Nexis, Proquest and Factiva databases via the University of Colorado libraries. More information may be found at: http://mecco.colorado.edu.
DOI: 10.5281/zenodo.10839880
title: ECG 2D

description: The original version of this dataset was formatted by R. Olszewski as part of his thesis Generalized feature extraction for structural pattern recognition in time-series data at Carnegie Mellon University, 2001. Each series traces the electrical activity recorded during one heartbeat. The two classes are a normal heartbeat and a Myocardial Infarction.

This is a modified multivariate version of the dataset saved in numpy format. The original dataset was obtained from here.

The data are 3-dimensional arrays of shape [n_samples, time_steps, n_variables]. The data can be loaded as follows:

loaded_data = np.load("ECG_2D.npz")
Xtr = loaded_data['Xtr'] # Training data of shape (100, 152, 2)
Ytr = loaded_data['Ytr'] # Training labels of shape (100, 1)
Xte = loaded_data['Xte'] # Test data of shape (100, 152, 2)
Yte = loaded_data['Yte'] # Test labels of shape (100, 1)
DOI: 10.5281/zenodo.10839881
title: ECG 2D

description: The original version of this dataset was formatted by R. Olszewski as part of his thesis Generalized feature extraction for structural pattern recognition in time-series data at Carnegie Mellon University, 2001. Each series traces the electrical activity recorded during one heartbeat. The two classes are a normal heartbeat and a Myocardial Infarction.

This is a modified multivariate version of the dataset saved in numpy format. The original dataset was obtained from here.

The data are 3-dimensional arrays of shape [n_samples, time_steps, n_variables]. The data can be loaded as follows:

loaded_data = np.load("ECG_2D.npz")
Xtr = loaded_data['Xtr'] # Training data of shape (100, 152, 2)
Ytr = loaded_data['Ytr'] # Training labels of shape (100, 1)
Xte = loaded_data['Xte'] # Test data of shape (100, 152, 2)
Yte = loaded_data['Yte'] # Test labels of shape (100, 1)
DOI: 10.5281/zenodo.10839948
title: Global Transport NDCs - Comparative Analysis Tool

description: This comparative analysis tool allows efficient visualisation of nations' transport NDC commitment level and Avoid-Shift-Improve pathway employment within climate mitigation transitions.
DOI: 10.5281/zenodo.10839949
title: Global Transport NDCs - Comparative Analysis Tool

description: This comparative analysis tool allows efficient visualisation of nations' transport NDC commitment level and Avoid-Shift-Improve pathway employment within climate mitigation transitions.
DOI: 10.5281/zenodo.8182207
title: Hydrological Reanalysis for the Congo River Basin (1983-2020)

description: The Congo River basin (CRB), the world's second-largest river system, is subject to extreme hydrological events that strongly impact its ecosystems and population. Here we present an unprecedented 38-year (1983-2020) hydrological reanalysis of CRB daily discharge that helped us to analyze the spatiotemporal dynamics of recent major CRB floods and droughts, and their teleconnection with El Niño Southern Oscillation (ENSO), the dominant driver of tropical precipitation. To develp this dataset, we employ a large-scale hydrologic-hydrodynamic model (MGB) with lake storage dynamics representation and a data assimilation (DA) technique using in-situ discharge and water level and remote sensing observations from radar altimetry. The performance of MGB is satisfactory, with KGE indices of 0.84 and 0.71 for calibration and validation, respectively. Incorporating lake representation significantly improves the simulations, from 0.3 to 0.63 for the Pearson correlation coefficient. Furthermore, DA shows a ~13% reduction in simulated discharge errors through cross-validation. This final version of the product uses all in-situ and radar altimetry observations during the simulation period, after satisfactory performance was verified in the DA cross-validation process. The original simulation period was from 1981 but the first two years were removed to avoid inconsistencies due to model initial conditions.<br>
description: We make available the daily discharge data set of the Hydrological Reanalysis for the Congo Basin in its v1.0 version, which correspond to the HR_Congo_1983-2020.nc file. The matrix of daily discharge contains 13880 columns (one per day, starting at 01Jan/1983) and 11580 rows (one per unit-catchment). Authors: Sly Wongchuig Correa Benjamin Kitambo Fabrice Papa Adrien Paris Ayan Santos Fleischmann Laetitia Gal Julien Boucharel Rodrigo Cauduro Dias de Paiva Romulo Jucá Oliveira Raphael M. Tshimanga Stéphane Calmant
DOI: 10.5281/zenodo.10839759
title: Hydrological Reanalysis for the Congo River Basin (1983-2020)

description: The Congo River basin (CRB), the world's second-largest river system, is subject to extreme hydrological events that strongly impact its ecosystems and population. Here we present an unprecedented 38-year (1983-2020) hydrological reanalysis of CRB daily discharge that helped us to analyze the spatiotemporal dynamics of recent major CRB floods and droughts, and their teleconnection with El Niño Southern Oscillation (ENSO), the dominant driver of tropical precipitation.


To develp this dataset, we employ a large-scale hydrologic-hydrodynamic model (MGB) with lake storage dynamics representation and a data assimilation (DA) technique using in-situ discharge and water level and remote sensing observations from radar altimetry.


The performance of MGB is satisfactory, with KGE indices of 0.84 and 0.71 for calibration and validation, respectively. Incorporating lake representation significantly improves the simulations, from 0.3 to 0.63 for the Pearson correlation coefficient. Furthermore, DA shows a ~13% reduction in simulated discharge errors through cross-validation.


This final version of the product uses all in-situ and radar altimetry observations during the simulation period, after satisfactory performance was verified in the DA cross-validation process. The original simulation period was from 1981 but the first two years were removed to avoid inconsistencies due to model initial conditions.
 


 


Please cite as:


Wongchuig, S.; Kitambo, B.; Papa, F.; Paris, A.; Fleischmann, A.; Gal, L.; Boucharel, J.; Paiva, R.; Oliveira, R.; Tshimanga, R. M.; Calmant, S. 2023. Improved modeling of Congo's hydrology for floods and droughts analysis and ENSO teleconnections.
description: We make available the daily discharge data set of the Hydrological Reanalysis for the Congo Basin in its v1.0 version, which correspond to the "HR_Congo_1983-2020.nc" and and its version in csv format "HR_Congo_1983-2020.nc" and "coordinates.csv" files.
The matrix of daily discharge contains 13880 columns (one per day, starting at 01Jan/1983) and 11580 rows (one per unit-catchment). These irregular unit-catchments have an average spatial resolution of ~15km.
Shapefiles containing the "Basin_boundary", "Centroids", "Drainage" and "Unitcatchments" are attached.


Authors:
Sly Wongchuig Correa
Benjamin Kitambo
Fabrice Papa
Adrien Paris
Ayan Santos Fleischmann
Laetitia Gal
Julien Boucharel
Rodrigo Cauduro Dias de Paiva
Romulo Jucá Oliveira
Raphael M. Tshimanga
Stéphane Calmant