cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15468/dl.2sunun
title: Occurrence Download

description: A dataset containing 2 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 {
 "or" : [
 "Country is Angola",
 "Country is Bahrain",
 "Country is Benin",
 "Country is Cameroon",
 "Country is Comoros",
 "Country is Congo",
 "Country is Congo, Democratic Republic of the",
 "Country is Côte d’Ivoire",
 "Country is Djibouti",
 "Country is Egypt",
 "Country is Eritrea",
 "Country is Equatorial Guinea",
 "Country is Gabon",
 "Country is Gambia",
 "Country is Ghana",
 "Country is Guinea",
 "Country is Guinea-Bissau",
 "Country is Iran (Islamic Republic of)",
 "Country is Iraq",
 "Country is Jordan",
 "Country is Kenya",
 "Country is Kuwait",
 "Country is Liberia",
 "Country is Madagascar",
 "Country is Mauritania",
 "Country is Mauritius",
 "Country is Mozambique",
 "Country is Nigeria",
 "Country is Oman",
 "Country is Qatar",
 "Country is Réunion",
 "Country is Saudi Arabia",
 "Country is Senegal",
 "Country is Seychelles",
 "Country is Sierra Leone",
 "Country is Somalia",
 "Country is South Africa",
 "Country is South Sudan",
 "Country is Sudan",
 "Country is Tanzania, United Republic of",
 "Country is Togo",
 "Country is United Arab Emirates",
 "Country is Yemen",
 "Country is Zambia",
 "Country is Zimbabwe"
 ]
 },
 "TaxonKey is Avicennia officinalis L.",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil)"
 ]
 }
 },
 {
 "or" : [
 {
 "not" : {
 "EstablishmentMeans" : [
 "is one of (VAGRANT)"
 ]
 }
 },
 "EstablishmentMeans is null"
 ]
 },
 {
 "or" : [
 {
 "not" : {
 "DegreeOfEstablishment" : [
 "is one of (CULTIVATED)"
 ]
 }
 },
 "DegreeOfEstablishment is null"
 ]
 }
 ]
}

 The dataset includes 2 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0018291-250127130748423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.13901564
title: Data and software for Chukalla et al: Blue and green water consumption of global 2020 SPAM crop production in high spatial resolution

description: This dataset comprises spatial and temporal data related to our analysis on blue and green water consumption (WC) of global crop production in high spatial resolution (5 arc-minutes – approximately 10 km at the equator) for the years 2020, 2010 and 2000.

Modelling water consumption of SPAM data

We use SPAM (Spatial Production Allocation Model) data, released by the International Food Policy research Institute (IFPRI). We use SPAM2020 data for the year 2020 (46 crops), SPAM2010 data for the year 2010 (42 crops) and SPAM2000 data for the year 2000 (20 crops).

We develop a Python-based global gridded crop green and blue WC assessment tool, entitled CropGBWater. Operating on a daily time scale, CropGBWater dynamically simulates rootzone water balance and related fluxes. We provide this model open access.

SPAM2020 crop data are modelled for the years 2018-2022, SPAM2010 crop data for the years 2008-2012 and SPAM2000 crop data for the years 1998-2002. We compute WCbl (blue WC) and WCgn (green WC), with components WCgn,irr (green WC of irrigated area) and WCgn,rf (green WC of rainfed area)File description:

The data-set consists of the following files:



Data_S4: Data_S4_Y2020_WC_m3_gridded.zipFolder with 46 crop grids (5arc min resolution, with x & y coordinates), monthly and annual WCbl, WCgn,irr and WCgn,rf values in m3 in csv format, year 2020

Data_S5: Data_S5_YR2020_WC_mm_gridded_csvFolder with 46 crop grids (5arc min resolution, with x & y coordinates), monthly and annual WCbl, WCgn,irr and WCgn, rf  as well as SPAM harvested area values in mm in csv format, year 2020

Data_S6: Data_S6_YR2020_WC_gridded_individual-crops-m3_annual.xlsxGrid (5arc min resolution, with x & y coordinates) with annual WCbl, WCgn,irr and WCgn, rf values in m3, differentiating between individual crops, year 2020

Data_S7: Data_S7_YR2020_WC_gridded_sum-of-crops-m3_monthly-annual.csvGrid (5arc min resolution, with x & y coordinates) with monthly and annual WCbl, WCgn,irr and WCgn, rf values in m3, for the sum of all crops, year 2020

Data_S8: Data_S8_YR2000_WC_mm_m3_gridded.zipGrid (5arc min resolution, with x & y coordinates) with annual WCbl, WCgn,irr and WCgn, rf values in mm and m3, as well as SPAM harvested area amounts, for each crop, year 2000

Data_S9: Data_S9_YR2010_WC_mm_m3_gridded.zipGrid (5arc min resolution, with x & y coordinates) with annual WCbl, WCgn,irr and WCgn, rf values in mm and m3, as well as SPAM harvested area amounts, for each crop, year 2010


Publication:

Please refer to the related paper for all details

Funding:

This research was funded by the CGIAR Initiative on Foresight
DOI: 10.34740/kaggle/dsv/10680355
title: Mahanagar Yatayat Transport Dataset
DOI: 10.15468/dl.hna5qb
title: Occurrence Download

description: A dataset containing 27399 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is Colección de Herpetología del Instituto de Ciencias Naturales (ICN-MHN-Her)"
 ]
}

 The dataset includes 27399 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0018290-250127130748423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.g6ce8r
title: Occurrence Download

description: A dataset containing 47118247 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Baeolophus bicolor (Linnaeus, 1766), Centrocercus urophasianus (Bonaparte, 1827), Centronyx henslowii (Audubon, 1829), Corvus ossifragus A.Wilson, 1812, Geothlypis formosa (A.Wilson, 1811), Haemorhous cassinii (S.F.Baird, 1854), Megascops asio (Linnaeus, 1758), Melanerpes carolinus (Linnaeus, 1758), Melanerpes erythrocephalus (Linnaeus, 1758), Nucifraga columbiana (A.Wilson, 1811), Peucaea aestivalis (M.H.K.Lichtenstein, 1823), Pica nuttalli (Audubon, 1837), Quiscalus major Vieillot, 1819, Recurvirostra americana J.F.Gmelin, 1789, Sitta pusilla Latham, 1790, Thryothorus ludovicianus (Latham, 1790), Toxostoma rufum (Linnaeus, 1758), Vermivora chrysoptera (Linnaeus, 1766))",
 "Country is United States of America",
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present"
 ]
}

 The dataset includes 47118247 records from 121 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0018282-250127130748423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5066/p9k44alr
title: FaSTMECH model water surface elevation and velocities for the Lower Sheboygan River, Wisconsin

description: In 2011-12, the U.S. Geological Survey conducted a study of the and hydrogeomorphic history and hydrodynamic characteristics of the lower 5 kilometers of the Sheboygan River, a tributary to Lake Michigan in eastern Wisconsin. The hydrogeomorphic history and stability of an ecologically important island complex in the Sheboygan River, the Wildwood Islands, was studied to determine the potential effects of inundation of island surfaces on riparian vegetation and potential areas of erosion and deposition. A two-dimensional (2D) channel hydraulics model was developed for simulating the interaction of riverine flows with varying lake levels and seiche effects. This dataset contains model input and output associated with 10 scenarios involving combinations of Lake Michigan water surface elevations and Sheboygan River discharge values.
DOI: 10.5517/ccdc.csd.cc2bv1js
title: CCDC 2169985: Experimental Crystal Structure Determination

description: Related Article: Kevin I. Y. Ketchemen, Vaidehi Lapalikar, Eduardo Carrillo‐Aravena, Linda D. Nyamen, Peter T. Ndifon, Michael Ruck|2023|ChemistryOpen|12|e202300045|doi:10.1002/open.202300045
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.cc2bv56l
title: CCDC 2170099: Experimental Crystal Structure Determination

description: Related Article: Kevin I. Y. Ketchemen, Vaidehi Lapalikar, Eduardo Carrillo‐Aravena, Linda D. Nyamen, Peter T. Ndifon, Michael Ruck|2023|ChemistryOpen|12|e202300045|doi:10.1002/open.202300045
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.cc2g161s
title: CCDC 2265264: Experimental Crystal Structure Determination

description: Related Article: Siyang Feng, Liangxuan Wang, Begoña Milián‐Medina, Alfred J. Meixner, Min Sang Kwon, Soo Young Park, Reinhold Wannemacher, Johannes Gierschner|2023|Adv.Mater.|35|2306678|doi:10.1002/adma.202306678
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.14826082
title: Angle-Resolved Lattice Population Density Plots: A Novel Approach for Fast 2D Unit Cell Determination from HAADF STEM Images

description: Images, data and results used for:  Weirich, T. E. (2025). Angle-Resolved Lattice Population Density Plots: A Novel Approach for Fast 2D Unit Cell Determination from HAADF STEM Images. Symmetry, 17(2), 239. https://doi.org/10.3390/sym17020239 

 

Funding:The author has carried out this study within Collaborative Research Centre Transregio 188: Damage Controlled Forming Processes (DFG—German Research Foundation, Project-ID 278868966) and SFB 1394: Structural and Chemical Atomic Complexity: From Defect Phase Diagrams to Material Properties (DFG—German Research Foundation, Project-ID 409476157).
DOI: 10.5281/zenodo.14826083
title: Angle-Resolved Lattice Population Density Plots: A Novel Approach for Fast 2D Unit Cell Determination from HAADF STEM Images

description: Images, data and results used for:  Weirich, T. E. (2025). Angle-Resolved Lattice Population Density Plots: A Novel Approach for Fast 2D Unit Cell Determination from HAADF STEM Images. Symmetry, 17(2), 239. https://doi.org/10.3390/sym17020239 

 

Funding:The author has carried out this study within Collaborative Research Centre Transregio 188: Damage Controlled Forming Processes (DFG—German Research Foundation, Project-ID 278868966) and SFB 1394: Structural and Chemical Atomic Complexity: From Defect Phase Diagrams to Material Properties (DFG—German Research Foundation, Project-ID 409476157).
DOI: 10.6084/m9.figshare.28303574
title: Data outputs for research project

description: Independent walking is a crucial milestone, allowing infants to explore their environment efficiently. This phase introduces complex foot-ground interactions. However, previous studies have focused on either center of pressure (CoP) or plantar pressure distribution alone, often losing critical information. The impact of variables like body weight, height, and foot size on pressure distribution in infants remains also underexplored. Our study uses continuous statistical approaches to comprehensively analyze anterior-posterior (AP) and medio-lateral (ML) trajectories of CoP and plantar pressure distribution in infancy, mapping foot-ground interactions from new to confident walking stages.
DOI: 10.15468/dl.2sz4gj
title: Occurrence Download

description: A dataset containing 88783 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Bombina variegata (Linnaeus, 1758)"
 ]
}

 The dataset includes 88783 records from 504 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0018293-250127130748423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5519/qd.nkq8kq4r
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (125727 records)
DOI: 10.48510/fk2/ptjhf7
title: Fourier-Transform Infrared (FTIR) Attenuated Total Reflectance (ATR) Spectroscopy Profiles of Polyols

description: Pharmaceutically applicable polyols are represented by various chemical compounds, each with distinct molecular structures and functional group properties. These properties are crucial for understanding the material's behavior in formulations, processing, and its stability over time. Functional group analysis, molecular interactions, and the presence of polymorphs or specific phases are essential aspects in evaluating the physical and chemical characteristics of pharmaceutical materials. One of the most reliable and non-destructive techniques for characterizing functional groups, molecular interactions, and phase transitions is Fourier Transform Infrared Spectroscopy with Attenuated Total Reflectance (FTIR-ATR). FTIR-ATR offers a powerful method for identifying specific molecular bonds and functional groups, providing insight into the structural properties, polymorphic forms, and chemical stability of solid-state materials.
Thus, project-related samples of commercially available polyols were characterized with FTIR-ATR using a FTIR spectrometer (Nicolete IS20; Thermo Scientific, Karlsruhe, Germany). The representative individual FTIR-ATR profiles were organized in a dataset in the form of an Excel spreadsheet. To simplify the perception of data, on the separate Excel spreadsheet, FTIR-ATR profiles are visualized in graphical form (Absorbance vs. Wavenumber, cm-1).
Method. To investigate the spectral properties of polyols such as sucrose, dextrin, inulin, xylitol, sorbitol, isomalt, and mannitol, a FTIR-ATR study of the samples was performed on a FTIR spectrometer (Nicolete IS20; Thermo Scientific, Karlsruhe, Germany) using a diamond prism by scanning from 4000 to 400 cm−1, with 2.0 cm−1 resolution and 100 scans per spectrum (the background was taken before each sample). Every graphically represented FTIR-profile was obtained by averaging 3 spectra.
Data. The dataset in the form of an Excel spreadsheet was composed of the representative individual FTIR-ATR profiles (no manipulation; as it is) of specific polyol grades: Absorbance vs. Wavenumber, cm-1. To simplify the reusing of data, on the separate CSV spreadsheet all raw FTIR-ATR profiles were presented and the same profiles are presented as graph (Absorbance vs. Wavenumber, cm-1).
description: OMNIC 9.13.1224 Thermo Scientific Spectroscopy, 2.02
DOI: 10.15468/dl.e2m3yw
title: Occurrence Download

description: A dataset containing 1043 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Anemonoides trifolia (L.) Holub"
 ]
}

 The dataset includes 1043 records from 9 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0018295-250127130748423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.12737463
title: Supplemental information of "Food waste utilized as resources can reduce climate and resource burdens in agrifood systems"

description: (1) Source data (Data 1) for bootstrapping analysis to compute means and 95% CIs of carbon footprint and product metrics of food waste treatments, as well as food waste landfill emissions. The revised version incorporated the original reported carbon footprint data for different food waste managements.

(2) Source data (Data 2) for food waste management schemes of US, EU, and China for emission estimation as well as emission mitigation analyses.

(3) List of studies selected from a systematic literature review.

(4) Script code and output report from STATA.
DOI: 10.5281/zenodo.12737464
title: Supplemental information of "Food waste treated as resources can achieve meaningful reductions in the climate and resource burdens of agrifood systems"

description: (1) Source data (Data 1) for bootstrapping analysis to compute means and 95% CIs of carbon footprint and product metrics of food waste treatments, as well as food waste landfill emissions

(2) Source data (Data 2) for food waste management schemes of US, EU, and China for emission estimation as well as emission mitigation analyses

(3) STATA output report

(4) List of studies selected from a systematic literature review
DOI: 10.5281/zenodo.14031984
title: Supplemental information of "Food waste treated as resources can achieve meaningful reductions in the climate and resource burdens of agrifood systems"

description: (1) Source data (Data 1) for bootstrapping analysis to compute means and 95% CIs of carbon footprint and product metrics of food waste treatments, as well as food waste landfill emissions

(2) Source data (Data 2) for food waste management schemes of US, EU, and China for emission estimation as well as emission mitigation analyses

(3) List of studies selected from a systematic literature review
DOI: 10.5281/zenodo.14416744
title: Supplemental information of "Food waste treated as resources can achieve meaningful reductions in the climate and resource burdens of agrifood systems"

description: (1) Source data (Data 1) for bootstrapping analysis to compute means and 95% CIs of carbon footprint and product metrics of food waste treatments, as well as food waste landfill emissions. The revised version incorporated the original reported carbon footprint data for different food waste managements.

(2) Source data (Data 2) for food waste management schemes of US, EU, and China for emission estimation as well as emission mitigation analyses.

(3) List of studies selected from a systematic literature review.
DOI: 10.5281/zenodo.14826061
title: Supplemental information of "Food waste utilized as resources can reduce climate and resource burdens in agrifood systems"

description: (1) Source data (Data 1) for bootstrapping analysis to compute means and 95% CIs of carbon footprint and product metrics of food waste treatments, as well as food waste landfill emissions. The revised version incorporated the original reported carbon footprint data for different food waste managements.

(2) Source data (Data 2) for food waste management schemes of US, EU, and China for emission estimation as well as emission mitigation analyses.

(3) List of studies selected from a systematic literature review.

(4) Script code and output report from STATA.
DOI: 10.6084/m9.figshare.28136420
title: Validation of the Thai version of the World Health Organization’s Quality of Life Scale (WHOQOL-BREF-THAI) among Thai Nursing Students in Northeast Thailand: A multi-canter study

description: Background: The Thai version of World Health Organization Quality of Life Scale (WHOQOL-BREF-THAI) has been verified among a variety of populations. However, existing research lacks comprehensive psychometric properties, including factor structure, specifically among nursing students. This study examined the WHOQOL-BREF's unique psychometric features for the Thai nursing students in Northeast Thailand.Methods: A cross-sectional study recruited the Thai nursing students using multi-stage simple random sampling from 15 universities located in the Northeast of Thailand. The data was collected via self-assessment questionnaires, and the 3,570 participants were then randomly split into two subsamples (group 1, n=2,000, and group 2, n=1,570). After reducing some items using statistical methods, an exploratory factor analysis (EFA) was carried out on group 1 to explore the factor structure of the WHOQOL-BREF-THAI. Finally, group 2 was used in a confirmatory factor analysis (CFA) to validate the EFA's modified structure along with an assessment of the construct validity of the WHOQOL-BREF-THAI.Results: A total of 3,570 Thai nursing students were enrolled. Principal component analysis in a random subsample supported a four-factors model with 24 items was originally suggested for the factorial construct validity, and contained 24 items, spread across four components as follows: physical (7 items), psychological (6 items), social relationship (3 items) and environmental (8 items). The purpose domain structure showed good fit in CFA in the other subsample. Internal reliability was satisfactory (Cronbach's alpha was greater than 0.70) for both the total scale and subscales. In terms of convergent validity, average variance extracted (AVE) revealed that all WHOQOL-BREF-THAI subscales achieved convergence effect with AVE ranging from 0.50 to 0.69.Conclusion: These results reveal that the WHOQOL-BREF-THAI is a valid and reliable tool for health care providers to utilize to measure QOL among Thai nursing students. QOL is also likely to have an impact on their future clinical success. Therefore, the WHOQOL-BREF can be an essential inventory for researching the factors influencing nursing students'QOL, with implications for nursing education.<br>
DOI: 10.5281/zenodo.14826235
title: bioimage.io upload: flavorful-sweet-potato

description: View on bioimage.io # LightMyCells 

Documentation at https://lightmycells.grand-challenge.org/
description: The Light My Cells dataset aims to contribute to the development of new image-to-image 'deep-label' methods in the fields of biology and microscopy.
(Uploaded via https://bioimage.io)
DOI: 10.5281/zenodo.14826236
title: bioimage.io upload: flavorful-sweet-potato

description: View on bioimage.io # LightMyCells 

Documentation at https://lightmycells.grand-challenge.org/
description: The Light My Cells dataset aims to contribute to the development of new image-to-image 'deep-label' methods in the fields of biology and microscopy.
(Uploaded via https://bioimage.io)
DOI: 10.5281/zenodo.14826245
title: bioimage.io upload: divine-melon

description: View on bioimage.io # CartoCell 

Documentation at https://zenodo.org/records/10973241
description: CartoCell is a deep learning-based image processing pipeline for the high-content segmentation of whole epithelial cysts acquired at low resolution with minimal human intervention. This pipeline enables high-precision cell segmentation that allows a single cell cartography study of major interest for the search of cellular patterns.
(Uploaded via https://bioimage.io)
DOI: 10.5281/zenodo.14826246
title: bioimage.io upload: divine-melon

description: View on bioimage.io # CartoCell 

Documentation at https://zenodo.org/records/10973241
description: CartoCell is a deep learning-based image processing pipeline for the high-content segmentation of whole epithelial cysts acquired at low resolution with minimal human intervention. This pipeline enables high-precision cell segmentation that allows a single cell cartography study of major interest for the search of cellular patterns.
(Uploaded via https://bioimage.io)
DOI: 10.5281/zenodo.14826261
title: bioimage.io upload: bountiful-moon-cake

description: View on bioimage.io # StarDist (2D) example training and test dataset - ZeroCostDL4Mic 

documentation at https://doi.org/10.5281/zenodo.3715492
description: Fluorescence microscopy (SiR-DNA) and masks obtained via manual segmentation
(Uploaded via https://bioimage.io)
DOI: 10.5281/zenodo.14826262
title: bioimage.io upload: bountiful-moon-cake

description: View on bioimage.io # StarDist (2D) example training and test dataset - ZeroCostDL4Mic 

documentation at https://doi.org/10.5281/zenodo.3715492
description: Fluorescence microscopy (SiR-DNA) and masks obtained via manual segmentation
(Uploaded via https://bioimage.io)