cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5066/p9wu48ky
title: Monthly and Annual population and water withdrawal maps of Rhode Island 2014-2021

description: This data release consists of multi-band 30-meter x 30-meter pixel rasters of estimated population and domestic self-supplied water withdrawals in Rhode Island between July 2014 and June 2021. Population raster data were generated using a national data product of 2010 population spatially distributed across land cover data and U.S. Census Bureau data of population growth estimates to adjust populations for each year 2014-2021. Estimates for changes in population between winter and summer months are also included to generate seasonal population estimates. The coefficients used to describe these variations in populations for each U.S. Census Bureau block group in Rhode Island are included in this data release. Estimated water withdrawal rasters were generated using an estimated population for each pixel and domestic per capita water use rates calculated from public-supply data. Spatial boundaries of public supplies in Rhode Island were used to classify areas of domestic water use outside of those served by public suppliers as self-supplied. Three comma-separated values (CSV) files contain the coefficients used to develop the final products. The three multi-band raster (tagged image format [TIF]) files contain the spatial representation of the estimated populations and self-supplied domestic water withdrawals in Rhode Island.
DOI: 10.5517/ccdc.csd.cc2fzpgl
title: CCDC 2263820: Experimental Crystal Structure Determination

description: Related Article: Serim Choi, Yongseok Choi, Yongjae Kim, Jaehoo Lee, Sarah Yunmi Lee|2023|J.Am.Chem.Soc.|145|24897|doi:10.1021/jacs.3c09369
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.cc2drmc5
title: CCDC 2227237: Experimental Crystal Structure Determination

description: Related Article: Kuntrapakam Hema, Angela B. Grommet, Micha J. Biaek, Jinhua Wang, Laura Schneider, Christoph Drechsler, Oksana Yanshyna, Yael Diskin-Posner, Guido H. Clever, Rafal Klajn|2023|J.Am.Chem.Soc.|145|24755|doi:10.1021/jacs.3c08666
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.cc2ggqym
title: CCDC 2278281: Experimental Crystal Structure Determination

description: Related Article: Kuntrapakam Hema, Angela B. Grommet, Micha J. Biaek, Jinhua Wang, Laura Schneider, Christoph Drechsler, Oksana Yanshyna, Yael Diskin-Posner, Guido H. Clever, Rafal Klajn|2023|J.Am.Chem.Soc.|145|24755|doi:10.1021/jacs.3c08666
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: 10.15468/dl.qrnjv2
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Paraliparis dactylosus Gilbert, 1896",
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 "Year is greater than or equal to 1900",
 "CoordinateUncertaintyInMeters is less than or equal to 10000"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0042087-241126133413365/datasets/export for details.
DOI: 10.5517/ccdc.csd.cc2gmxkl
title: CCDC 2283260: Experimental Crystal Structure Determination

description: Related Article: Siding Wang, Guangning Wang, Haijun Pang, Tianyang Wang, Lu Li, Shaobin Li, Li Zhang, Tingting Chen|2023|Eur.J.Inorg.Chem.|27|202300533|doi:10.1002/ejic.202300533
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.cc2gzkwx
title: CCDC 2293500: Experimental Crystal Structure Determination

description: Related Article: Felix Krämer, Maxim Leskov, Frank Breher|2023|Eur.J.Inorg.Chem.|27|e202300561|doi:10.1002/ejic.202300561
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: 10.15468/dl.tq8ymp
title: Occurrence Download

description: A dataset containing 3 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Paraliparis deani Burke, 1912",
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 "Year is greater than or equal to 1900",
 "CoordinateUncertaintyInMeters is less than or equal to 10000"
 ]
}

 The dataset includes 3 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0042089-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.14530267
title: FOXDEN dataset did=/beamline=3a/btr=test-987-b/cycle=2024-3/sample_name=lup-20kev-1/test=embed

description: test zenodo publication with meta-data record
DOI: 10.5281/zenodo.14530268
title: FOXDEN dataset did=/beamline=3a/btr=test-987-b/cycle=2024-3/sample_name=lup-20kev-1/test=embed

description: test zenodo publication with meta-data record
DOI: 10.5281/zenodo.11509259
title: Sedimentary ancient DNA (sedaDNA) from Tramacastilla Lake (Central Pyrenees, Spain)

description: Here is the data used in Julián-Posada et al., 2024 for sedaDNA analysis in a Pyrenean lacustrine sequence (Tramacastilla lake, 1682 m a.s.l.)
DOI: 10.5281/zenodo.14513521
title: Sedimentary ancient DNA (sedaDNA) from Tramacastilla Lake (Central Pyrenees, Spain)

description: Here is the data used in Julián-Posada et al., 2024 for sedaDNA analysis in a Pyrenean lacustrine sequence (Tramacastilla lake, 1682 m a.s.l.)
DOI: 10.5281/zenodo.14530140
title: Sedimentary ancient DNA (sedaDNA) from Tramacastilla Lake (Central Pyrenees, Spain)

description: Here is the data used in Julián-Posada et al., 2024 for sedaDNA analysis in a Pyrenean lacustrine sequence (Tramacastilla lake, 1682 m a.s.l.)
DOI: 10.5281/zenodo.11509258
title: Sedimentary ancient DNA (sedaDNA) from Tramacastilla Lake (Central Pyrenees, Spain)

description: Here is the data used in Julián-Posada et al., 2024 for sedaDNA analysis in a Pyrenean lacustrine sequence (Tramacastilla lake, 1682 m a.s.l.)
DOI: 10.5281/zenodo.14530281
title: Sedimentary ancient DNA (sedaDNA) from Tramacastilla Lake (Central Pyrenees, Spain)

description: Here is the data used in Julián-Posada et al., 2024 for sedaDNA analysis in a Pyrenean lacustrine sequence (Tramacastilla lake, 1682 m a.s.l.)
DOI: 10.17632/c72dnzz52r.1
title: Benzoyl Peroxide Acne Treatment Shows No Association with Benzene-Related Cancers: A Multicenter Retrospective Analysis

description: Supplemental Methods. Benzoyl Peroxide Acne Treatment Shows No Association with Benzene-Related Cancers: A Multicenter Retrospective Analysis.
DOI: 10.17632/z6hmhrk39y
title: Soil Microbial and Organic Matter Dynamics in Tropical Cropping Systems

description: This dataset contains data on microbial dynamics and organic matter fractions in cropping systems of elephant grass (Mercker and Mott) and butterfly pea, evaluated across soil depths and seasons (dry and rainy). It includes indicators such as basal respiration, microbial biomass, glomalin, HA/FA ratios, qCO₂, qMIC, qMin.
DOI: 10.17632/z6hmhrk39y.1
title: Soil Microbial and Organic Matter Dynamics in Tropical Cropping Systems

description: This dataset contains data on microbial dynamics and organic matter fractions in cropping systems of elephant grass (Mercker and Mott) and butterfly pea, evaluated across soil depths and seasons (dry and rainy). It includes indicators such as basal respiration, microbial biomass, glomalin, HA/FA ratios, qCO₂, qMIC, qMin.
DOI: 10.17632/c72dnzz52r.2
title: Benzoyl Peroxide Acne Treatment Shows No Association with Benzene-Related Cancers: A Multicenter Retrospective Analysis

description: Supplemental Methods. Benzoyl Peroxide Acne Treatment Shows No Association with Benzene-Related Cancers: A Multicenter Retrospective Analysis.
DOI: 10.15468/dl.f26mnw
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Paraliparis membranaceus Günther, 1887",
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 "Year is greater than or equal to 1900",
 "CoordinateUncertaintyInMeters is less than or equal to 10000"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0042091-241126133413365/datasets/export for details.
DOI: 10.17632/h2pnwgt5f2.1
title: NCHS US Natality Data (2020)

description: In comparison to vaginal deliveries, caesarean (C-section) deliveries have been linked to poorer health outcomes for both mother and infant; nevertheless, the rate of C-section deliveries continues to rise worldwide (Keag et al., 2018; Negrini et al., 2021). Using the Natality Data (2020) from the US National Center for Health Statistics (NCHS) (N=3,619,826), this study analyzes structural inequalities and systemic racism that exist within ubiquitous social institutions, such as hospitals (Bonilla-Silva, 1997; Meyer & Rowan, 1977). We estimate multinomial logistical regression models to predict differences in risk of C-section deliveries across racialized and non-racialized mothers, as well as for immigrant women. We also investigate the effect of source of payment for the birth, both as a signal of socioeconomic status of the mother and cost to the hospital. 

This data set uses the following exclusion criteria: breech/transverse births, non-hospital births, "other" methods of payment. "Other" method of payment refers to any payment method used for the delivery other than private insurance, Medicaid, or self-pay. Moreover, any records missing data on race of mother were also excluded.
DOI: 10.17632/h2pnwgt5f2.2
title: NCHS US Natality Data (2020)

description: In comparison to vaginal deliveries, caesarean (C-section) deliveries have been linked to poorer health outcomes for both mother and infant; nevertheless, the rate of C-section deliveries continues to rise worldwide (Keag et al., 2018; Negrini et al., 2021). Using the Natality Data (2020) from the US National Center for Health Statistics (NCHS) (N=3,619,826), this study analyzes structural inequalities and systemic racism that exist within ubiquitous social institutions, such as hospitals (Bonilla-Silva, 1997; Meyer & Rowan, 1977). We estimate multinomial logistical regression models to predict differences in risk of C-section deliveries across racialized and non-racialized mothers, as well as for immigrant women. We also investigate the effect of source of payment for the birth, both as a signal of socioeconomic status of the mother and cost to the hospital. 

This data set uses the following exclusion criteria: breech/transverse births, non-hospital births, "other" methods of payment. "Other" method of payment refers to any payment method used for the delivery other than private insurance, Medicaid, or self-pay. Moreover, any records missing data on race of mother were also excluded.
DOI: 10.17632/m7w55sw88b.1
title: PMRAM: Bangladeshi Brain Cancer - MRI Dataset

description: This Bangladeshi Brain Cancer MRI Dataset is a large dataset of Magnetic Resonance Imaging (MRI) images created to aid researchers in medical diagnosis, especially for brain cancer research. This collection contains a total of 1600 raw photos (every class have 400 raw images) after augmentation it contains total 6000 images, which are wisely divided into four main categories as: 

Glioma -1500 images 

Meningioma -1500 images 

Pituitary-1500 images 

No Tumor-1500 images 

All the images in this dataset were collected from different hospitals around Bangladesh. It brought diversity and representation into the sample. To make the images compatible with various image processing, machine learning and deep-learning pipelines as possible they are then resized to a standardize size of 512×512. 

This dataset is incredibly significant since high-quality data, such as medical imaging data, are few and difficult to obtain, particularly in the context of brain cancer. Assume that four prominent doctors collaborate on data collection in order to give more accurate and helpful content. It made it feasible. The cooperation emphasizes the dataset's potential to improve medical practice today by providing a dependable supply of diagnoses for use in diagnostic tool creation and testing within current medicine. 

This dataset can be used by researchers and practitioners for a variety of applications such as Dense net 201, yolov8x/s, CNN, resnet50v2, VGG-16, MobilenetV2 etc. 

 

Image Processing Details: 

 

Images are randomly rotated within a range of 45 degrees. (rotation range=45) 

Images are horizontally shifted by up to 20% of the width of the image. (width_shift_range=0.2) 

Images are vertically shifted by up to 20% of the height of the image. (height_shift_range=0.2) 

Shear transformation is applied to the image within a range of 20%. (shear range=0.2) 

Images are randomly zoomed in or out by up to 20%. (zoom range=0.2) 

Images are randomly flipped horizontally. (horizontal flip=True) 

When transformations like rotations or shifts leave empty areas in the image, they are filled in by the nearest pixel values. (fill mode='nearest') 

 

Hospital List(for Data Collection): 

Ibn Sina Medical College, Kollanpur, 1, 1-B Mirpur Rd, Dhaka 1207 

Dhaka Medical College & Hospital, Secretariat Rd, Dhaka 1000 

Cumilla Medical College, Kuchaitoli, Dr. Akhtar Hameed Khan Road, Cumilla 3500, Bangladesh 

 

Supervisor & investigator: 

Md. Mizanur Rahman 

Lecturer, 

Computer Science and Engineering 

Daffodil International University 

Dhaka, Bangladesh 

mizanurrahman.cse@diu.edu.bd 

 

 

Data Collectors: 

Md Shahriar Mannan Prottoy 

Mahtab Chowdhury 

Redwan Rahman 

Azim Ullah Tamim
DOI: 10.5281/zenodo.13984578
title: Study of acute lethality, teratogenesis, and metabolomic changes of N-(2'-Hydroxyphenyl)-2-Propylpentanamide (HO-AAVPA) on Artemia franciscana
DOI: 10.15468/dl.vsbgwg
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Paraliparis paucidens Stein, 1978",
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 "Year is greater than or equal to 1900",
 "CoordinateUncertaintyInMeters is less than or equal to 10000"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0042092-241126133413365/datasets/export for details.
DOI: 10.5284/1124658
title: Images from Historic Building Recording Work at East Barrack, Berwick Barracks, Berwick upon Tweed, Northumberland, December 2023

description: This collection comprises images from Historic Building Recording work at East Barrack, Berwick Barracks, Berwick upon Tweed, Northumberland. The work was undertaken by Archaeological Services Durham University in December 2023.
DOI: 10.25422/azu.data.28012532
title: <b>Global Snow and Ice Cover (1980–1987): An Extended GMASI Dataset</b>

description: This dataset provides globally continuous, daily snow and ice cover information at a high spatial resolution (0.1° latitude/longitude grid) for the period from January 1, 1980, to June 30, 1987. It extends the Global Automated Snow and Ice Mapping System (GMASI) dataset, which begins in July 1987. For access to GMASI snow and ice cover data starting in 1987, users can visit: https://www.star.nesdis.noaa.gov/pub/smcd/emb/snow/gmasi_reprocessing/dailymaps/data/.<br><br>The extended dataset was developed using advanced machine learning techniques, specifically a Random Forest algorithm, applied to ERA5 reanalysis data. This dataset is designed to support diverse applications, including climate studies, hydrological modeling, and long-term precipitation analyses.<br><br><br><i>For inquiries regarding the contents of this dataset, please contact the Corresponding Author listed in the README.txt file. Administrative inquiries (e.g., removal requests, trouble downloading, etc.) can be directed to data-management@arizona.edu</i>
DOI: 10.15468/dl.nytqea
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Paraliparis pectoralis Stein, 1978",
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 "Year is greater than or equal to 1900",
 "CoordinateUncertaintyInMeters is less than or equal to 10000"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0042093-241126133413365/datasets/export for details.
DOI: 10.15468/dl.wb7p7a
title: Occurrence Download

description: A dataset containing 549366 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Frangula alnus Mill."
 ]
}

 The dataset includes 549366 records from 1983 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0042081-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.taauhx
title: Occurrence Download

description: A dataset containing 4863 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Bombus mendax"
 ]
}

 The dataset includes 4863 records from 34 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0005601-251009101135966/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15156/bio/sh1158873.10fu
title: SH1158873.10FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.15156/bio/sh1158874.10fu
title: SH1158874.10FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.15156/bio/sh1158875.10fu
title: SH1158875.10FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.15156/bio/sh1158876.10fu
title: SH1158876.10FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.