cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.17632/vy6pzcgcy6.1
title: Data for Ni-Goethite sulfidation

description: Including XRD data; solution chemistry; XAS data at Fe K-edges; TGA data; Chemical analyses upon HCl/HNO3 acid treatment.
DOI: 10.17632/fw5v83xg65.1
title: 'Assessing the dynamics of international competitiveness based on high-tech exports: Insights from a heterogenous panel of selected G20 countries

description: This dataset is used in the empirical analysis of the article titled: Assessing the dynamics of international competitiveness based on high-tech exports: Insights from a heterogenous panel of selected G20 countries
DOI: 10.34740/kaggle/dsv/5223789
title: Genre-Based Book's Data from Powell's city of Book
DOI: 10.5281/zenodo.7765019
title: ENSO influence on water vapor transport and thermodynamics over Northwestern South America

description: Datasets used, generated and analysed during the study "ENSO influence on water vapor transport and thermodynamics over Northwestern South America"
DOI: 10.5281/zenodo.7765018
title: ENSO influence on water vapor transport and thermodynamics over Northwestern South America

description: Datasets used, generated and analysed during the study "ENSO influence on water vapor transport and thermodynamics over Northwestern South America"
DOI: 10.17632/43j2fywzj4.1
title: MPS-mitochondrial genome-The control DNA 9947A

description: The sequencing datafiles of the control DNA 9947A
DOI: 10.5281/zenodo.7765059
title: Data and Code for "A planetary health innovation for disease, food, and water challenges in Africa"

description: Data and R code for both economic and non-economic analysis for the paper titled, "A planetary health innovation for disease, food, and water challenges in Africa"
description: This research was supported by a National Institutes of Health grant (R01GM109499) to JRR, JVR, SHS, GAD, NJ, and GR. Additionally, this research was supported by grants from the National Science Foundation (EF-1241889, DEB- 2109293, DEB-2017785, DEB – 2011179, ICER-2024383), National Institutes of Health (R01TW010286), and the Indiana Clinical and Translational Sciences Institute to JRR; the National Institutes of Health (K01AI091864) and the National Science Foundation (EAR-1646708, EAR-1360330) to JVR, and the National Science Foundation (CNH grant # 1414102), Bill and Melinda Gates Foundation (OPP1114050), National Institutes of Health (R01TW010286-01), Stanford GDP SEED (grant # 1183573-100-GDPAO), and SNAP-NCEAS (working group "Ecological levers for health: Advancing a priority agenda for Disease Ecology and Planetary Health in the 21st century") to SHS and GAD.
DOI: 10.5281/zenodo.7765058
title: Data and Code for "A planetary health innovation for disease, food, and water challenges in Africa"

description: Data and R code for both economic and non-economic analysis for the paper titled, "A planetary health innovation for disease, food, and water challenges in Africa"
description: This research was supported by a National Institutes of Health grant (R01GM109499) to JRR, JVR, SHS, GAD, NJ, and GR. Additionally, this research was supported by grants from the National Science Foundation (EF-1241889, DEB- 2109293, DEB-2017785, DEB – 2011179, ICER-2024383), National Institutes of Health (R01TW010286), and the Indiana Clinical and Translational Sciences Institute to JRR; the National Institutes of Health (K01AI091864) and the National Science Foundation (EAR-1646708, EAR-1360330) to JVR, and the National Science Foundation (CNH grant # 1414102), Bill and Melinda Gates Foundation (OPP1114050), National Institutes of Health (R01TW010286-01), Stanford GDP SEED (grant # 1183573-100-GDPAO), and SNAP-NCEAS (working group "Ecological levers for health: Advancing a priority agenda for Disease Ecology and Planetary Health in the 21st century") to SHS and GAD.
DOI: 10.17632/jfsd492kzs.1
title: Relationship between IQ, DQ and SQ in young children with hearing impairment

description: The data was collected from 40 young children with hearing impairment (YCHI) and their caregivers at the Department of Clinical Psychology, in a Government teaching Institute of Speech and Hearing. These 40 YCHI underwent the SFBT, the GDT, the DST, and the VSMS. YCHI were referred for assessment of intelligence prior to cochlear implant surgery. Assent from the caregivers of the participants was taken. 
A positive correlation was found between the GDT IQ and the SQ (r= 0.558, p < 0.01), the GDT IQ and the DQ (r= 0.431, p < 0.01), the SQ and the DQ (r=0.576, p< 0.01). On comparing the means of the SFBT IQ, the GDT IQ, the DQ and the SQ, the mean of the SFBT IQ was the highest and the mean of the DQ was the lowest. The DQ was 35 and 31 points lesser than the SFBT IQ and the SQ respectively. SFBT IQ score was higher (3 points) than the SQ.
DOI: 10.17632/k7khzz7jr6.1
title: Dataset used to refine a treatment protocol of a biofeedback-based virtual reality intervention for pain and anxiety in children and adolescents undergoing surgery

description: This data was generated as part of a prospective pilot clinical trial aimed to establish measurable outcomes for biofeedback-based virtual reality (VR-BF), a novel pain management therapy, impacting a treatment protocol for preoperative education and training and postoperative application of VR-BF in the pediatric population. Achievement of target physiological parameters, including heart rate variability (HRV), was measured in children and adolescents undergoing surgery anticipated to cause moderate to severe pain (e.g., orthopedic, chest) requiring postoperative pain management by the Acute Pain Services at a tertiary care, academic, pediatric hospital. This dataset includes analyzed quantitative data and raw qualitative data.
DOI: 10.17632/knbt7xt9d3.1
title: Intracranial Aneurysm

description: Aneurysm rupture is the determining clinical situation from the point of view of public health and particular case since it has a high morbidity and mortality rate depending on the degree of subarachnoid hemorrhage present. There are studies that indicate different aspects that are related to the likelihood of aneurysm rupture, being the size the characteristic that varies the most because there are reports of increased risk when aneurysms are large or giant but there are also studies that report that smaller ones are those with higher risk.
The data show that aneurysms that ruptured are slightly smaller in size than those that did not rupture, since the difference is not statistically significant, with our data we can support the idea that rupture depends mostly on the shape of the aneurysm neck, the proximity to a bifurcation, the morphological characteristics of the sac and the pathophysiological conditions of the patient. It is noteworthy that a statistically significant difference was found in the size of internal carotid artery aneurysms in women compared to men.  The data have the potential to continue to evaluate size differences by location and perform different types of correlations or analyses related to the surgical management performed on the patient.
DOI: 10.5281/zenodo.7126141
title: Sea-Level Rise in Southwest Greenland as a Contributor to Viking Abandonment

description: Data and code to accompany the journal publication "Sea-Level Rise in Southwest Greenland as a Contributor to Viking Abandonment" in the Proceedings of the National Academy of Sciences of the United States of America (PNAS). This dataset includes data sets, computer codes and associated scripts, necessary to reproduce results in the article: (1) the surface computational grid; (2) model Greenland Ice Sheet history in time steps of 20 years from 1000 CE to present-day; (3) code to compute the relative sea-level change at any user specified set of sites across the same time steps; (4) code to map (2) and (3) on to conventional grids (e.g., latitude-longitude; Gauss-Legendre, etc.) based on a non-linear interpolation of data on a triangular grid via a second-order scheme; (5) code to convert sea level changes into time series of past topography from which flooding geometry (i.e., shoreline migration) can be tracked; and (6) code to integrate the flood geometries in (5) to compute time series of total flood area. More details in Readme.pdf.
description: Support for this work was provided by the Heising-Simons Foundation 2018-0769 (R.B.A.), a Los Alamos National Laboratory Director's Postdoctoral Fellowship (S.C.), NASA grant 80NSSC21K1790 (E.M.P.), Harvard University (M.B., E.M.P., J.X.M.), and the John D. and Catherine T. MacArthur Foundation (J.X.M.).
DOI: 10.17632/cgwjjk35yg.1
title: IGF-1 and risk of morbidity and mortality from cancer, cardiovascular diseases, and all-causes in EPIC – Heidelberg: A case-cohort study - supplementary files

description: Supplementary files linked to the manuscript titled "IGF-1 and risk of morbidity and mortality from cancer, cardiovascular diseases, and all-causes in EPIC – Heidelberg: A case-cohort study"
DOI: 10.5281/zenodo.7765084
title: Refining Large Integrated Identity Graphs using the Unique Name Assumption

description: Thank you for checking the code, data, and the execution history. This Zenodo repository corresponds to our publication at the ESWC'23 conference. 1) There are three kinds of sources in the directory ./sources 2) The scripts corresponding to the algorithm are in the ./algorithm directory 3) The gold standard is in the directory ./gold_standard together with additional information of each connected component (as a file on its own) including error degree of the edges. The annotation of volunteers is in the *.tsv file. 4) Some scripts for analysis, for extraction/processing of data, and plotting are included in the ./other_scripts directory. 5) The ./execution_history directory consists of all the log files during evaluation. The summaries are in *.log. Please see each directory for detailed description in PDF or txt. The latest version of the code is online at https://github.com/shuaiwangvu/sameAs-iUNA In case of any mistake to report, please contact Shuai Wang at shuai.wang@vu.nl.
DOI: 10.5281/zenodo.7126140
title: Sea-Level Rise in Southwest Greenland as a Contributor to Viking Abandonment

description: Data and code to accompany the journal publication "Sea-Level Rise in Southwest Greenland as a Contributor to Viking Abandonment" in the Proceedings of the National Academy of Sciences of the United States of America (PNAS). This dataset includes data sets, computer codes and associated scripts, necessary to reproduce results in the article: (1) the surface computational grid; (2) model Greenland Ice Sheet history in time steps of 20 years from 1000 CE to present-day; (3) code to compute the relative sea-level change at any user specified set of sites across the same time steps; (4) code to map (2) and (3) on to conventional grids (e.g., latitude-longitude; Gauss-Legendre, etc.) based on a non-linear interpolation of data on a triangular grid via a second-order scheme; (5) code to convert sea level changes into time series of past topography from which flooding geometry (i.e., shoreline migration) can be tracked; and (6) code to integrate the flood geometries in (5) to compute time series of total flood area. More details in Readme.pdf.
description: Support for this work was provided by the Heising-Simons Foundation 2018-0769 (R.B.A.), a Los Alamos National Laboratory Director's Postdoctoral Fellowship (S.C.), NASA grant 80NSSC21K1790 (E.M.P.), Harvard University (M.B., E.M.P., J.X.M.), and the John D. and Catherine T. MacArthur Foundation (J.X.M.).
DOI: 10.5281/zenodo.7761617
title: CoastSeg: Shoreline data at 30-m spatial resolution for 2001 coastal provinces or regions of the world, in geoJSON format.

description: Region: 2001 coastal provinces or regions of the world Data fields: MEAN_SIG_WAVEHEIGHT TIDAL_RANGE CHLOROPHYLL TURBIDITY TEMP_MOISTURE EMU_PHYSICAL REGIONAL_SINUOSITY GHM MAX_SLOPE % OUTFLOW_DENSITY ERODIBILITY LENGTH_GEO ch_label river_label sinuosity_label slope_label tidal_label turbid_label wave_label CSU_Descriptor CSU_ID The data originally come from https://rmgsc.cr.usgs.gov/outgoing/ecosystems/Global/USGSEsriGlobalCoastalSegmentsv1.mpk The data are described in the following publication Roger Sayre, Suzanne Noble, Sharon Hamann, Rebecca Smith, Dawn Wright, Sean Breyer, Kevin Butler, Keith Van Graafeiland, Charlie Frye, Deniz Karagulle, Dabney Hopkins, Drew Stephens, Kevin Kelly, Zeenatul Basher, Devon Burton, Jill Cress, Karina Atkins, D. Paco Van Sistine, Beverly Friesen, Rebecca Allee, Tom Allen, Peter Aniello, Irawan Asaad, Mark John Costello, Kathy Goodin, Peter Harris, Maria Kavanaugh, Helen Lillis, Eleonora Manca, Frank Muller-Karger, Bjorn Nyberg, Rost Parsons, Justin Saarinen, Jac Steiner & Adam Reed (2019) A new 30 meter resolution global shoreline vector and associated global islands database for the development of standardized ecological coastal units, Journal of Operational Oceanography, 12:sup2, S47-S56, DOI: 10.1080/1755876X.2018.1529714 Metadata file (each file listed alongside the bounds in WGS84 latitude/longitude): province_files_bounds.json
DOI: 10.5281/zenodo.7761616
title: CoastSeg: Shoreline data at 30-m spatial resolution for 2001 coastal provinces or regions of the world, in geoJSON format.

description: Region: 2001 coastal provinces or regions of the world Data fields: MEAN_SIG_WAVEHEIGHT TIDAL_RANGE CHLOROPHYLL TURBIDITY TEMP_MOISTURE EMU_PHYSICAL REGIONAL_SINUOSITY GHM MAX_SLOPE % OUTFLOW_DENSITY ERODIBILITY LENGTH_GEO ch_label river_label sinuosity_label slope_label tidal_label turbid_label wave_label CSU_Descriptor CSU_ID The data originally come from https://rmgsc.cr.usgs.gov/outgoing/ecosystems/Global/USGSEsriGlobalCoastalSegmentsv1.mpk The data are described in the following publication Roger Sayre, Suzanne Noble, Sharon Hamann, Rebecca Smith, Dawn Wright, Sean Breyer, Kevin Butler, Keith Van Graafeiland, Charlie Frye, Deniz Karagulle, Dabney Hopkins, Drew Stephens, Kevin Kelly, Zeenatul Basher, Devon Burton, Jill Cress, Karina Atkins, D. Paco Van Sistine, Beverly Friesen, Rebecca Allee, Tom Allen, Peter Aniello, Irawan Asaad, Mark John Costello, Kathy Goodin, Peter Harris, Maria Kavanaugh, Helen Lillis, Eleonora Manca, Frank Muller-Karger, Bjorn Nyberg, Rost Parsons, Justin Saarinen, Jac Steiner & Adam Reed (2019) A new 30 meter resolution global shoreline vector and associated global islands database for the development of standardized ecological coastal units, Journal of Operational Oceanography, 12:sup2, S47-S56, DOI: 10.1080/1755876X.2018.1529714 Metadata file (each file listed alongside the bounds in WGS84 latitude/longitude): province_files_bounds.json
DOI: 10.17632/nddmgkm3cc.5
title: Supply Chain Impact Mapping (SCIM) Matlab Tool

description: Version 5: Runs with all matlab versions and is based on EXIOBASE version 3.4. In contrast to version 4, this Matlab tool is provided as zip file containing the data for the year 1995 and 2015. The data for the remaining years can be downloaded from the exiobase homepage (https://www.exiobase.eu/index.php/data-download/exiobase3mon) or requested. Also, further information on how to work with the tool are available upon request (contact: livia.cabernard@istp.ethz.ch)

This version was recently applied for mapping the impacts of the global plastics supply chain: https://doi.org/10.1038/s41893-021-00807-2

The methodology is described by the example of global material production in https://doi.org/10.1016/j.scitotenv.2019.04.434 and https://doi.org/10.1038/s41561-021-00690-8, and prevents the issue of double counting based on https://doi.org/10.1016/j.resconrec.2017.12.011.

The regionalized impact assessment is based on UNEP-SETAC: https://www.lifecycleinitiative.org/training-resources/global-guidance-lcia-indicators-v-1/ and described in: https://doi.org/10.1007/s11367-017-1333-8 (water stress), https://doi.org/10.1021/acs.est.5b06153 (land-use related biodiversity loss) and https://doi.org/10.1021/acs.est.7b02589 (PM health impacts)

Further application examples of SCIM (a selection):
•	Global Resource Outlook 2019 (Chapter 3): https://www.resourcepanel.org/reports/global-resources-outlook
•	Natural resource use in the G20: https://www.resourcepanel.org/reports/natural-resource-use-group-20 and https://doi.org/10.1088/1748-9326/ac52c7
•	Brazil's food and beverage industry: https://doi.org/10.1016/j.jclepro.2021.129283
•	Mining-related biodiversity loss footprint of metals and global electricity generation: https://doi.org/10.31223/X5T064 (using the Resolved Exiobase database REX: https://doi.org/10.5281/zenodo.6609852)
DOI: 10.17632/nddmgkm3cc.6
title: Supply Chain Impact Mapping (SCIM) Matlab Tool – time series up to 2022 (Exiobase v3.82)

description: same as Version 5 but based on EXIOBASE3 version 3.8.2, covering time series from 1995 to 2022 (https://zenodo.org/record/5589597#.ZBxkDy9Xbjw)

Data for the years 1995,2011, and 2022 are already contained in the tool (in the folder Input_Data). Data for the other years need to be downloaded from this link: https://zenodo.org/record/5589597#.ZBxkDy9Xbjw
and stored in the folder Input_Data.
e.g.: SCIM_v6/Input_Data/IOT_2011_ixi

HOW TO USE THE TOOL:

1. Download matlab
A test matlab software for free can be downloaded here: https://ch.mathworks.com/de/campaigns/products/trials.html

2. Download the folder "SCIM_v6" below.

3. In the folder "SCIM_v6" open the matlab app called “Sustainability_Performance_Analysis.mlapp”. This will also open matlab which will run in the background. Take your settings from the provided listboxes (select the target sectors, target regions, indicators, timespan and how you want to display your results). Label your folder and press the calculation button. You will be informed when your results are ready. The results will be stored as text files (which can be opened as excel files) in your created folder.
DOI: 10.17632/5xvj4t4b2t.1
title: Locomotion Score and Postpartum Conception Jerseys

description: We aimed to relate the locomotion score of milking Jersey cows raised under hot humid tropical conditions with reproductive variables such as the services per conception and calving to conception interval or days open. Lameness affected reproductive performance since twice as many inseminations were required to achieve a pregnancy, increasing the calving to conception interval and decreasing the herd’s conception rate.
DOI: 10.5281/zenodo.7764756
title: Inferring the Photolysis Rate of NO2 in the Stratosphere Based on Satellite Observations

description: Dataset for the paper
DOI: 10.17632/84c3z7vfgy.1
title: LFXCM Model Main Code

description: This folder contains the main executable files for the LFX Canadian Model version 6.0 including CGE search system, nesting functions and commands to generate the output. Some of the input data are included but the base data files are over 2 Gb and can be obtained from Statistics Canada (provincial IO tables). Current technical description is posted at https://www.lfxassociates.ca/publications.html. This is not turnkey, executable code because there are many policy parameters that need to be chosen and placed in input files to characterize the policy experiment.
DOI: 10.5281/zenodo.7764755
title: Inferring the Photolysis Rate of NO2 in the Stratosphere Based on Satellite Observations

description: Dataset for the paper
DOI: 10.17632/y34xb7gwgw.1
title: Lactibute VGZ

description: Anonymized trial data pertaining to Lactibute VGZ
DOI: 10.17632/wc9j7xr772.1
title: List of herbariums in Russia, 2023

description: In 2022, we carried out the work on the next systematization and updating of information regarding the herbarium collections in Russia. The table shows the number of herbaria in various subjects of the Russian Federation and the number of samples in them as of January 2023. The subjects of the Russian Federation are given according to the text of the Constitution of the Russian Federation (2022). The data are ranked by the volume of the herbarium funds. The total number of herbaria in 89 subjects of the Russian Federation is 293, of which 144 herbaria have international indices; the total herbarium fund includes 21.34 million specimens. The distribution of collections by administrative regions is given on a separate sheet of the file. We also note that a significant part of the collections is located in universities - 124 herbariums, however, only 32.8% of all herbarium funds are located here. At the same time, 2/3 of the herbarium fund is located in the herbaria of the research institutes - 62.7%. In 69 herbariums of the reserves, 2.2% of herbarium sheets are concentrated, in 39 museums - 1.8%, in three private collections - 0.4%.
The data presented is not final. The author will be grateful for additions and comments. Correspondence address: GarinEV@mail.ru
*****
В 2022 г. нами была проведена работа по очередной систематизации и обновлению сведений, касающихся гербарных коллекций России. В таблице представлено количество гербариев в различных субъектах РФ и количество образцов в них на январь 2023 г. Субъекты РФ приводятся по тексту Конституции РФ (2022). Данные ранжированы по объёму гербарного фонда. Общее количество гербариев в 89 субъектах РФ – 293, из них 144 гербария имеют международные индексы; общий гербарный фонд насчитывает 21,34 млн образцов. Распределение коллекций по административным районам приводится на отдельном листе файла. Отметим также, что значительная часть коллекций находится в вузах - 124 гербария, однако, здесь расположено только 32,8% всех гербарных фондов. В то же время 2/3 гербарного фонда расположено в гербариях НИИ - 62,7%. В 69 гербариях заповедников сосредоточено 2,2% гербарных листов, в 39 музеях - 1,8%, в трёх частных собраниях - 0,4%.
Представленные данные не являются окончательными. Автор будет благодарен за дополнения и замечания. Адрес для корреспонденции: GarinEV@mail.ru
DOI: 10.17632/729m9vxf4v.1
title: Published Chronic alcohol consumption dysregulates innate immune response to SARS-CoV-2 in the lung - Supp Table 2

description: List of genes used for module scoring in scRNA sequencing analysis.
DOI: 10.17632/fsv65wzbbr.1
title: Anexo de la Resolución CNRT 634/2016

description: Anexo de la Resolución CNRT 634/2016 por el que se aprueba la metodología para el control técnico operativa de los servicios ferroviarios de pasajeros regionales de larga distancia y de carga.
DOI: 10.17632/6cj9zddgz6.1
title: GEOPROCESSING AND GEOMORPHOLOGICAL CHARACTERIZATION OF THE PLEISTOCENE PLAIN IN PARANÁ COASTAL, SOUTHERN BRAZIL

description: The dataset includes the raw optical images and SRTM data used in the article.
DOI: 10.17632/mb832f9zh8.1
title: Anexo de la Resolución CNRT 1367/2016

description: Anexo de la Resolución CNRT 1367/2016, en la que se aprueban los “indicadores de calidad de servicios ferroviarios de pasajeros de larga distancia y regionales” y los “indicadores de calidad y prestación de servicios ferroviarios de pasajeros del Área Metropolitana de Buenos Aires”.
DOI: 10.25919/v0r5-sw08
title: AuPd Nanoparticle Data Set

description: This is a set of 145103 gold-palladium (AuPd) nanoparticle FINAL CONFIGURATIONS, for use in data-driven studies. These structures have been optimised (fully relaxed) using molecular dynamics with an embedded atom (EAM) interatomic potential, at various temperatures. All files are in XYZ format, and the naming convention is defined in the accompanying CSV file that lists all of the structural features and property indicators (see Supporting Attachments). Sizes range from 93 atoms to 4631 atoms, with both crystalline and non-crystalline configurations and regions. Each nanoparticle has been characterised using a variety of topological features, including size, lattice structure, surface curvature, and several order parameters. The final 2 columns are target labels, providing the total energy and the excess formation energy. Links to publications describing these property labels are provided in the meta data. Other features can also be used as labels as desired.