cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.20372/aau_rdr/oz73mz
title: CONTRIBUTIONS OF AGRICULTURAL COOPERATIVES TO IMPROVE THE LIVELIHOOD OF RURAL HOUSEHOLDS: THE CASE OF HULET EJU ENESE WOREDA, EAST GOJJAM ZONE AMHARA NATIONAL REGIONAL STATE, ETHIOPIA

description: CONTRIBUTIONS OF AGRICULTURAL COOPERATIVES TO IMPROVE THE LIVELIHOOD OF RURAL HOUSEHOLDS: THE CASE OF HULET EJU ENESE WOREDA, EAST GOJJAM ZONE AMHARA NATIONAL REGIONAL STATE, ETHIOPIA
DOI: 10.5517/ccdc.csd.cc28ff8f
title: CCDC 2098274: Experimental Crystal Structure Determination

description: Related Article: Wen-Min Wang, Na Qiao, Xiao-Yan Xin, Zhi-Lei Wu, Jian-Zhong Cui|2022|Cryst.Growth Des.|23|87|doi:10.1021/acs.cgd.2c00746
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.cc28ffdk
title: CCDC 2098278: Experimental Crystal Structure Determination

description: Related Article: Wen-Min Wang, Na Qiao, Xiao-Yan Xin, Zhi-Lei Wu, Jian-Zhong Cui|2022|Cryst.Growth Des.|23|87|doi:10.1021/acs.cgd.2c00746
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.cc26pdr2
title: CCDC 2046364: Experimental Crystal Structure Determination

description: Related Article: Silvia Collavini, Sebastian F. Völker, Andrea Cabrera-Espinoza, Manuel A. Martínez, Abel De Cózar, Leire San Felices, Luis Sánchez, Juan Luis Delgado|2022|Inorg.Chem.|61|4046|doi:10.1021/acs.inorgchem.1c03761
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.cc2952n7
title: CCDC 2120048: Experimental Crystal Structure Determination

description: Related Article: Silvia Collavini, Sebastian F. Völker, Andrea Cabrera-Espinoza, Manuel A. Martínez, Abel De Cózar, Leire San Felices, Luis Sánchez, Juan Luis Delgado|2022|Inorg.Chem.|61|4046|doi:10.1021/acs.inorgchem.1c03761
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.7501239
title: An Ice Age JWST inventory of dense molecular cloud ices

description: This dataset is the first observational data release for the JWST Early Release Science Ice Age program (#1309). More information about this program can be found at our team website (http://jwst-iceage.org/) and the STScI website (https://www.stsci.edu/jwst/science-execution/approved-programs/dd-ers/program-1309). The data is analyzed in the article by McClure et al. (2023), to be published on January 24th, 2023 by Nature Astronomy. The dataset consists of 5 files, each containing a spectrum of one of two background stars analyzed in that publication. The spectra are given as wavelength in microns (column 1), flux in milli-Janskys (column 2), and uncertainty in the flux (column 3). Some basic information about the JWST pipeline version is given in the header of each text file, but users should refer to the Methods section of McClure et al. (2023) for the full description of how the data were processed and extracted, as it extends beyond the basic pipelines. Information about how the data were observed is given in the APT file, accessible through a query in STScI's APT application (search by PID 1309) or here at STScI (https://www.stsci.edu/jwst/science-execution/program-information.html?id=1309). Three of the files correspond to the background star NIR38. These represent spectra of this star taken separately by JWST with the NIRCam WFSS, NIRSpec FS, and MIRI LRS FS instrument modes on JWST. The other two files correspond to the background star J110621 and are spectra taken separately by JWST using the NIRSpec FS and MIRI LRS FS instrument modes. It is necessary to cite the McClure et al. (2023) Nature Astronomy publication when making use of these data, to fully describe the data processing, as well as this Zenodo DOI.
DOI: 10.5281/zenodo.7501238
title: An Ice Age JWST inventory of dense molecular cloud ices

description: This dataset is the first observational data release for the JWST Early Release Science Ice Age program (#1309). More information about this program can be found at our team website (http://jwst-iceage.org/) and the STScI website (https://www.stsci.edu/jwst/science-execution/approved-programs/dd-ers/program-1309). The data is analyzed in the article by McClure et al. (2023), to be published on January 24th, 2023 by Nature Astronomy. The dataset consists of 5 files, each containing a spectrum of one of two background stars analyzed in that publication. The spectra are given as wavelength in microns (column 1), flux in milli-Janskys (column 2), and uncertainty in the flux (column 3). Some basic information about the JWST pipeline version is given in the header of each text file, but users should refer to the Methods section of McClure et al. (2023) for the full description of how the data were processed and extracted, as it extends beyond the basic pipelines. Information about how the data were observed is given in the APT file, accessible through a query in STScI's APT application (search by PID 1309) or here at STScI (https://www.stsci.edu/jwst/science-execution/program-information.html?id=1309). Three of the files correspond to the background star NIR38. These represent spectra of this star taken separately by JWST with the NIRCam WFSS, NIRSpec FS, and MIRI LRS FS instrument modes on JWST. The other two files correspond to the background star J110621 and are spectra taken separately by JWST using the NIRSpec FS and MIRI LRS FS instrument modes. It is necessary to cite the McClure et al. (2023) Nature Astronomy publication when making use of these data, to fully describe the data processing, as well as this Zenodo DOI.
DOI: 10.6084/m9.figshare.21750494
title: Supplementary data for Button et al. Multiple pathways to herbivory underpinned deep divergences in ornithischian evolution

description: Folder contains surfaces and model files of reconstructed skulls of ornithischian taxa as supplementary data for the paper Button, D.J., Porro, L.B., Lautenschlager, S., Jones, M.E.H. & Barrett, P.M. 2023. Multiple pathways to herbivory underpinned deep divergences in ornithischian evolution. Current Biology 33, 1-9. https://doi.org/10.1016/j.cub.2022.12.019 See this paper. for more information on how these skull reconstructions were produced. <br> Each taxon folder contains two sets of surfaces: 1. "osteological_model" contains full-resolution surfaces of the retrodeformed skulls generated within the paper. Unified surfaces of the whole skull are provided, as are those for the cranium and mandible. Within these, separated surfaces for each material (bones, sutures, and teeth) are also provided. 2. "biomech_model" contains downsampled surfaces as imported into Strand7 for finite-element modelling. Separate surfaces for the modelled materials (bone, suture, and teeth) are provided for both the cranium and mandible. Loaded Strand7 model files for the cranium and mandible of each taxon are also provided. Surfaces are provided as both .stls and .plys. For alternative formats, additional files, or any questions, please contact David Button (david.button@bristol.ac.uk).
DOI: 10.5281/zenodo.6570258
title: Radiographers' Perspectives on Clinical Supervision of Students in Ireland

description: The authors developed and executed an online national survey of clinical radiographers in Ireland involved in supervision of radiography students. The aim of the study was to explore radiographers’ attitudes and perceptions of confidence in undertaking clinical supervision, along with perceived barriers in a ‘real-life’ clinical department. The survey instrument was designed to gather information across the following domains: (1) Demographic data of participants; (2) Attitude and perceived level of confidence towards clinical supervision; (3) Perceived potential barriers to the efficacy of clinical supervision; (4) Potential supports to improve radiographer motivation and quality of supervision. There is an opportunity for this dataset to add to the evidence base on radiography clinical education. Such information has the potential to inform future practices and interventions tailored to the needs of the context by contributing towards engaging the full spectrum of those involved in all aspects of the clinical education of student radiographers. Thus far, this is, to our knowledge, the first national survey conducted in Europe, of radiographers to identify perceptions, barriers and potential enablers of effective student supervision in the clinical setting.
DOI: 10.5281/zenodo.6570257
title: Radiographers' Perspectives on Clinical Supervision of Students in Ireland

description: The authors developed and executed an online national survey of clinical radiographers in Ireland involved in supervision of radiography students. The aim of the study was to explore radiographers’ attitudes and perceptions of confidence in undertaking clinical supervision, along with perceived barriers in a ‘real-life’ clinical department. The survey instrument was designed to gather information across the following domains: (1) Demographic data of participants; (2) Attitude and perceived level of confidence towards clinical supervision; (3) Perceived potential barriers to the efficacy of clinical supervision; (4) Potential supports to improve radiographer motivation and quality of supervision. There is an opportunity for this dataset to add to the evidence base on radiography clinical education. Such information has the potential to inform future practices and interventions tailored to the needs of the context by contributing towards engaging the full spectrum of those involved in all aspects of the clinical education of student radiographers. Thus far, this is, to our knowledge, the first national survey conducted in Europe, of radiographers to identify perceptions, barriers and potential enablers of effective student supervision in the clinical setting.
DOI: 10.3886/gs0c-s444
title: Lesotho Compact - Health Sector: Final Analysis Report
DOI: 10.3886/cwah-4366
title: Lesotho Compact - Health Sector: Final Analysis Report
DOI: 10.6084/m9.figshare.21815553
title: vRhyme_data.zip

description: Machine train and test datasets.
DOI: 10.6084/m9.figshare.21815553.v1
title: vRhyme_data.zip

description: Machine train and test datasets.
DOI: 10.20375/0000-000f-7a46-a
title: 3rd_wave_2014_Maidan_Sich.sav
DOI: 10.20375/0000-000f-7a47-9
title: 3rd wave (2014) - Maidan Sich.xlsx
DOI: 10.20375/0000-000f-7a48-8
title: cards_ua+eng.pdf
DOI: 10.20375/0000-000f-7a49-7
title: codebook_Maidan3_UA_EN.xlsx
DOI: 10.20375/0000-000f-7a4a-6
title: Data Documentation_3rd wave (2014) - Maidan Sich.pdf
DOI: 10.20375/0000-000f-7a4b-5
title: Maidan presentation KIIS.pdf
DOI: 10.20375/0000-000f-7a4c-4
title: Questionnaire_UKR.pdf
DOI: 10.48320/b845a62f-18e0-4321-9672-6a51b5ff1758
title: From "Maidan Camp" 2013 to "Maidan-Sich" 2014: what has changed since the beginning of the Maidan-protests?
DOI: 10.5519/qd.f0wpjblo
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (216 records)
DOI: 10.6073/pasta/4f9d285275ba5458fee8161d7132341d
title: WER01 Elevated CO2 counteracts effects of water stress on woody rangeland-encroaching species at Konza Prairie

description: Woody plants are increasing prevalence and dominance in many rangelands around the world. The reason for their increase is various but two common drivers that have changed are an increase in CO2 concentrations and alteration to precipitation dynamics. We asked what the physiological growth dynamics of four juvenile woody plant species (Cornus drummondii, Rhus glabra, Gleditsia triacanthos and Juniperus osteosperma) when grown in elevated CO2 and chronically water stressed. We found that elevated CO2 counteracts much of the physiological effects of chronic water stress in the four different woody plant species measured. The alleviation of water stress from increased CO2 concentrations will result in juvenile woody plants continuing to expand and establish in North American rangelands. This information will aid land managers in making long-term management objectives for reducing woody plants in rangelands.
DOI: 10.6084/m9.figshare.20557614
title: Public data_Figshare.xlsx

description: Data used for analysing people's stance towards climate change mitigation and adaptation in southern Ecuador
DOI: 10.6084/m9.figshare.20557614.v1
title: Public data_Figshare.xlsx

description: Data used for analysing people's stance towards climate change mitigation and adaptation in southern Ecuador
DOI: 10.5281/zenodo.7229808
title: CAPYBARA: Decompiled Binary Functions and Related Summaries

description: <strong>CAPYBARA</strong> This dataset is published as part of the paper: "Extending Source Code Pre-Trained Language Models to Summarise Decompiled Binaries". It includes both the training/evaluation data as well as the raw data. The data_split folder contains .pickle files with the test and validation repos, the train repos are all the remaining repos. It also contains a .pickle file with a dictionary that specifies the optimization level for each repository. In the processed_data folder, the processed datasets can be found in .csv format. The columns of the CSV are the `summaries`, the `original documentation`, the `repo`, the `source` and `decompiled` code, the `function name` and a unique `identifier`. We also include the deduplicated samples in separate CSVs. The processed training files can be found in the training_data folder. `Source C`, `decompiled`, `demiStripped`, and `stripped` can each be found in their corresponding folders and are split into deduplicated and regular datasets. The data is further split into .jsonl files, for the train, test, and validation sets. These .jsonl files can be loaded into CodeT5 and CodeXGlue as is. The raw_data folder contains all the stripped and decompiled functions without any pre-processing applied. The columns of the CSV are `repo`, the `location`, the `original` code, the corresponding `decompiled` code, the `function name`, a unique `identifier` key, and the corresponding `documentation` for both the decompiled and stripped functions. <strong>License</strong> Copyright 2022 ########## Licensed under the Apache License, Version 2.0 (the "License"); you may not use this file except in compliance with the License. You may obtain a copy of the License at: http://www.apache.org/licenses/LICENSE-2.0 Unless required by applicable law or agreed to in writing, software distributed under the License is distributed on an "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the License for the specific language governing permissions and limitations under the License.
DOI: 10.5281/zenodo.7229809
title: CAPYBARA: Decompiled Binary Functions and Related Summaries

description: <strong>CAPYBARA</strong> This dataset is published as part of the paper: "Extending Source Code Pre-Trained Language Models to Summarise Decompiled Binaries". It includes both the training/evaluation data as well as the raw data. The data_split folder contains .pickle files with the test and validation repos, the train repos are all the remaining repos. It also contains a .pickle file with a dictionary that specifies the optimization level for each repository. In the processed_data folder, the processed datasets can be found in .csv format. The columns of the CSV are the `summaries`, the `original documentation`, the `repo`, the `source` and `decompiled` code, the `function name` and a unique `identifier`. We also include the deduplicated samples in separate CSVs. The processed training files can be found in the training_data folder. `Source C`, `decompiled`, `demiStripped`, and `stripped` can each be found in their corresponding folders and are split into deduplicated and regular datasets. The data is further split into .jsonl files, for the train, test, and validation sets. These .jsonl files can be loaded into CodeT5 and CodeXGlue as is. The raw_data folder contains all the stripped and decompiled functions without any pre-processing applied. The columns of the CSV are `repo`, the `location`, the `original` code, the corresponding `decompiled` code, the `function name`, a unique `identifier` key, and the corresponding `documentation` for both the decompiled and stripped functions. <strong>License</strong> Copyright 2022 ########## Licensed under the Apache License, Version 2.0 (the "License"); you may not use this file except in compliance with the License. You may obtain a copy of the License at: http://www.apache.org/licenses/LICENSE-2.0 Unless required by applicable law or agreed to in writing, software distributed under the License is distributed on an "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the License for the specific language governing permissions and limitations under the License.
DOI: 10.6084/m9.figshare.21815832.v1
title: probiotic LAB.sav

description: Consumption of fermented foods and beverages has health benefits; fermented milk products in particular are thought to contain probiotics. The purpose of this study was to characterize probiotic lactic acid bacteria isolates from metata ayib (Traditional spiced cottage cheese).
DOI: 10.6073/pasta/b932c06917e011e4371b706c3fc1267d
title: Normalized Difference Vegetation Index (NDVI) derived from 2019 National Agriculture Imagery Program (NAIP) data for the central Arizona region

description: This project calculates two vegetation indices—Normalized Difference Vegetation Index (NDVI) and Soil Adjusted Vegetation Index (SAVI) from the National Agriculture Imagery Program (NAIP) remotely sensed imagery. The intent is to make remotely sensed variables and visualizations accessible to stakeholders and researchers studying the Phoenix metropolitan area. NDVI and SAVI are calculated from the 2019 NAIP imagery (1m resolution). This dataset extends the 2010, 2013, 2015, and 2017 NDVI and SAVI products derived from NAIP imagery (also 1m resolution). All images are cropped to the CAP study area boundary.
DOI: 10.6073/pasta/0650f1cba18af503915e649f46e427e3
title: Meta-analysis data for Microcystin as a Biogeochemical Cycle: pools, fluxes, and fates of the cyanotoxin in inland waters

description: We constructed a conceptual biogeochemical model for microcystin through a comprehensive literature synthesis, identifying four major pools and nine major fluxes in lakes that also connect to the terrestrial environment. We also performed a literature synthesis, collating measurements of various pools and fluxes of microcystin in inland waters from the literature. A subset of those values were used in an analysis of microcystin detection for field surveys of waterbodies and a random effects model to estimate the mean and 95% confidence interval for various microcystin pools and fluxes in lakes.
DOI: 10.6084/m9.figshare.21815832.v3
title: Probiotic LAB

description: Consumption of fermented foods and beverages has health benefits; fermented milk products in particular are thought to contain probiotics. The purpose of this study was to characterize probiotic lactic acid bacteria isolates from metata ayib (Traditional spiced cottage cheese).
DOI: 10.6084/m9.figshare.21815832.v2
title: Antagonestic activity of LAB.savProbiotic LAB

description: Consumption of fermented foods and beverages has health benefits; fermented milk products in particular are thought to contain probiotics. The purpose of this study was to characterize probiotic lactic acid bacteria isolates from metata ayib (Traditional spiced cottage cheese).
DOI: 10.5281/zenodo.6545400
title: Dataset for Dynamics of Solid-Electrolyte Interphase Formation on Silicon Electrodes Revealed by Combinatorial Electrochemical Screening

description: This dataset provides the raw data to the manuscript "<strong>Dynamics of Solid-Electrolyte Interphase Formation on Silicon Electrodes Revealed by Combinatorial Electrochemical Screening"</strong> published in Angewandte Chemie International Edition (2022): https://doi.org/10.1002/anie.202207184 Specifically, the following measurements are provided: Electrochemical measurements for combinatorial preparation of solid-electrolyte layers under different conditions and repetitions ("SECCM/") Raman spectra obtained using SHINERS for all the prepared conditions and repetitions ("SHINERS/") Atomic force microscopy data for each SEI layer ("AFM/") Energy-dispersive X-ray spectroscopy data ("EDX/")
DOI: 10.5281/zenodo.6545399
title: Dataset for Dynamics of Solid-Electrolyte Interphase Formation on Silicon Electrodes Revealed by Combinatorial Electrochemical Screening

description: This dataset provides the raw data to the manuscript "<strong>Dynamics of Solid-Electrolyte Interphase Formation on Silicon Electrodes Revealed by Combinatorial Electrochemical Screening"</strong> published in Angewandte Chemie International Edition (2022): https://doi.org/10.1002/anie.202207184 Specifically, the following measurements are provided: Electrochemical measurements for combinatorial preparation of solid-electrolyte layers under different conditions and repetitions ("SECCM/") Raman spectra obtained using SHINERS for all the prepared conditions and repetitions ("SHINERS/") Atomic force microscopy data for each SEI layer ("AFM/") Energy-dispersive X-ray spectroscopy data ("EDX/")
DOI: 10.6073/pasta/37f143145be39f2d78cf4b02ecab6a26
title: Stream cross-section profiles in the Andrews Experimental Forest and Hagan Block RNA 1978-present

description: This database consists of periodically resurveyed cross-section profiles for 5 sites (stream reaches) located in the H.J. Andrews Experimental Forest on 3rd to 5th-order stream channels over the period 1978-present, and also includes historical data from Shorter Creek within the Andrews and two sites (North and South) on the Hagan Creek in the Hagan Block RNA. Each of these sites includes 10-20 cross sections spaced about 10-50 m apart. Observations include cross-sectional geometry based on surveys relative to a horizontal line between permanent stations on opposite sides of the stream, substrate type based on pebble counts and notes on extent of bedrock, and photo-documentation of the sites. Sampling was primarily done annually until 2000 and opportunistically since then depending on funding and noted geomorphic changes in response to floods. Sampling at least every 5 years is desired. Data tables cover 1. elevation and distance measurements between fixed end points, 2. pebble counts for particle size, 3. measures of extent of exposed bedrock, 4. vegetation (1984 only) in terms of % cover by spp., % cover of substrate types, and plant measurements for making biomass estimates with allometric equations, but such estimates are not presented. The original raw cross-section data for these sites has been adjusted to align profiles for consecutive year comparisons at each cross-section location to correct for imprecision in the survey methodology. John Faustini further corrected this cross-section data from 1978-1998 for the five main sites in Study GS019. The Shorter Creek cross-section surveys took place in 1978-1982 only.