cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.21227/td2v-3898
title: "Hyderabad\u2019s Best Digital Marketing Company in 2026 \u2013 Sanbrains Agency Driving SEO & Social Media Growth"

description: "February 2026 has already proven one thing businesses that invest in strategic digital growth are dominating their markets. In a competitive landscape like Hyderabad, choosing the Best Digital marketing company is no longer optional; it\u2019s essential."
DOI: 10.18739/a2nv99d06
title: Total Sky Imager (TSI) Measurements at Summit Station, Greenland, 2021

description: ### Access
All files can be accessed and downloaded from the directory via: [http://arcticdata.io/data/10.18739/A2NV99D06](http://arcticdata.io/data/10.18739/A2NV99D06).

### Overview
This data set contains measurements from a Yankee Environmental Systems Total Sky Imager deployed at Summit Station, Greenland as part of the Integrated Characterization of Energy, Clouds, Atmospheric state, and Precipitation at Summit (ICECAPS) Project. This total sky imager points vertically and collects routine images of the hemispheric view of the sky overhead that can be used to classify the sky state, calculate cloud fraction, and provide other sky information. The total sky imager was originally installed at Summit Station by Konrad Steffen’s team and was eventually transferred to the ICECAPS team for stewardship. The instrument is owned by the University of Colorado – Boulder. Field operations support is provided by the National Science Foundation's Arctic Observing Network (AON) Program.
DOI: 10.6084/m9.figshare.31313225
title: Comparative evaluation of molecular technologies for the identification of prevalent non-tuberculous mycobacteria in pulmonary infections: a systematic review and meta-analysis

description: The increasing prevalence of non-tuberculous mycobacteria pulmonary disease (NTM PD) is a burden to public health. Successful management of NTM PD critically depends on accurate species identification and reliable drug susceptibility testing to guide appropriate antibiotic therapy. Emerging molecular technologies offer rapid diagnostic solutions compared to conventional methods, but their performance varies. This study aims to provide a comprehensive evaluation of current molecular techniques for NTM identification and to present a global antibiotic resistance profile. A systematic literature search was conducted in PubMed and Web of Science for studies published between 2005 and 2024. Studies applying molecular methods for NTM identification and resistance detection in humans were included. Data on study characteristics, diagnostic methods, sample types, sample sizes, identification sensitivity, and drug susceptibility results were extracted. Meta-analysis was performed using R with the <i>meta4diag</i> package. The quality of included studies was assessed using the QUADAS-2 tool. The analysis included 49 studies on NTM identification and 33 studies on antibiotic resistance. For species identification, all evaluated molecular technologies (MALDI-TOF MS, PCR-based methods, Sequencing, DNA chip, and DNA strip) demonstrated high pooled sensitivities (&gt;0.92). Subgroup analysis revealed that sample type significantly affected performance for MALDI-TOF MS. Preliminary analysis of antibiotic resistance rates revealed varying patterns. For slowly growing mycobacteria, a significantly high Ethambutol resistance rate was observed in <i>M. avium</i> (69.20%). Among rapidly growing mycobacteria, resistance to Imipenem was notable (54.22%), and Clarithromycin resistance varied significantly within the Mycobacterium abscessus complex. Emerging molecular technologies have revolutionized the methodology for NTM identification with excellent performance. However, their performance can be influenced by sample type, particularly for MALDI-TOF MS. The alarming and heterogeneous antibiotic resistance patterns also highlight the critical need for rapid and accurate species identification and drug susceptibility testing to inform effective therapeutic strategies.
Key messagesMolecular technologies demonstrate high accuracy for NTM identification.Antibiotic resistance is a serious concern with variations among NTM species and subspecies.Rapid and accurate species identification and drug susceptibility testing are crucial for guiding effective clinical management of NTM PD. Molecular technologies demonstrate high accuracy for NTM identification. Antibiotic resistance is a serious concern with variations among NTM species and subspecies. Rapid and accurate species identification and drug susceptibility testing are crucial for guiding effective clinical management of NTM PD.
DOI: 10.6084/m9.figshare.31313225.v1
title: Comparative evaluation of molecular technologies for the identification of prevalent non-tuberculous mycobacteria in pulmonary infections: a systematic review and meta-analysis

description: The increasing prevalence of non-tuberculous mycobacteria pulmonary disease (NTM PD) is a burden to public health. Successful management of NTM PD critically depends on accurate species identification and reliable drug susceptibility testing to guide appropriate antibiotic therapy. Emerging molecular technologies offer rapid diagnostic solutions compared to conventional methods, but their performance varies. This study aims to provide a comprehensive evaluation of current molecular techniques for NTM identification and to present a global antibiotic resistance profile. A systematic literature search was conducted in PubMed and Web of Science for studies published between 2005 and 2024. Studies applying molecular methods for NTM identification and resistance detection in humans were included. Data on study characteristics, diagnostic methods, sample types, sample sizes, identification sensitivity, and drug susceptibility results were extracted. Meta-analysis was performed using R with the <i>meta4diag</i> package. The quality of included studies was assessed using the QUADAS-2 tool. The analysis included 49 studies on NTM identification and 33 studies on antibiotic resistance. For species identification, all evaluated molecular technologies (MALDI-TOF MS, PCR-based methods, Sequencing, DNA chip, and DNA strip) demonstrated high pooled sensitivities (&gt;0.92). Subgroup analysis revealed that sample type significantly affected performance for MALDI-TOF MS. Preliminary analysis of antibiotic resistance rates revealed varying patterns. For slowly growing mycobacteria, a significantly high Ethambutol resistance rate was observed in <i>M. avium</i> (69.20%). Among rapidly growing mycobacteria, resistance to Imipenem was notable (54.22%), and Clarithromycin resistance varied significantly within the Mycobacterium abscessus complex. Emerging molecular technologies have revolutionized the methodology for NTM identification with excellent performance. However, their performance can be influenced by sample type, particularly for MALDI-TOF MS. The alarming and heterogeneous antibiotic resistance patterns also highlight the critical need for rapid and accurate species identification and drug susceptibility testing to inform effective therapeutic strategies.
Key messagesMolecular technologies demonstrate high accuracy for NTM identification.Antibiotic resistance is a serious concern with variations among NTM species and subspecies.Rapid and accurate species identification and drug susceptibility testing are crucial for guiding effective clinical management of NTM PD. Molecular technologies demonstrate high accuracy for NTM identification. Antibiotic resistance is a serious concern with variations among NTM species and subspecies. Rapid and accurate species identification and drug susceptibility testing are crucial for guiding effective clinical management of NTM PD.
DOI: 10.15468/dl.brqrhz
title: Occurrence Download

description: A dataset containing 994 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Bloomeria crocea",
 "HasCoordinate is true",
 "BasisOfRecord is one of (Specimen)"
 ]
}

 The dataset includes 994 records from 45 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0007594-260208012135463/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.t5k36r
title: Occurrence Download

description: A dataset containing 7177 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Human Observation",
 "Country is United States of America",
 "PublishingOrg is 28eb1a3f-1c15-4a95-931a-4af90ecb574d",
 "TaxonKey is Papilio multicaudata"
 ]
}

 The dataset includes 7177 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0007593-260208012135463/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.48512/xcv8495451
title: Artifact Dataset for ABC Project, Site Name, County, State

description: Artifact Dataset for ABC Project, Site Name, County, State
DOI: 10.48512/xcv8519345
title: Groundstone Image Dataset

description: Groundstone dataset used for the Groundstone Advanced Image Search additional metadata.
DOI: 10.6084/m9.figshare.31312618
title: <b>Soil Organic Carbon and Physicochemical Responses to Precipitation Manipulation Experiment</b>

description: This dataset contains soil physicochemical properties and biomass measurements collected under a precipitation manipulation experiment simulating reduced and increased annual rainfall conditions. Three treatments were established: 40% reduction in annual precipitation (P-4), ambient control (C), and 40% increase in annual precipitation (P+4).Measured variables include annual precipitation (PPT, mm), soil electrical conductivity (EC, mS cm⁻¹), soil pH, total biomass (TB, g m⁻²), and soil organic carbon (SOC, g kg⁻¹).The dataset is designed to assess the effects of altered precipitation regimes on soil properties and ecosystem productivity, providing experimental evidence for understanding ecosystem responses to climate change scenarios.
DOI: 10.6084/m9.figshare.31312618.v1
title: <b>Soil Organic Carbon and Physicochemical Responses to Precipitation Manipulation Experiment</b>

description: This dataset contains soil physicochemical properties and biomass measurements collected under a precipitation manipulation experiment simulating reduced and increased annual rainfall conditions. Three treatments were established: 40% reduction in annual precipitation (P-4), ambient control (C), and 40% increase in annual precipitation (P+4).Measured variables include annual precipitation (PPT, mm), soil electrical conductivity (EC, mS cm⁻¹), soil pH, total biomass (TB, g m⁻²), and soil organic carbon (SOC, g kg⁻¹).The dataset is designed to assess the effects of altered precipitation regimes on soil properties and ecosystem productivity, providing experimental evidence for understanding ecosystem responses to climate change scenarios.
DOI: 10.15468/dl.jypbc5
title: Occurrence Download

description: A dataset containing 4532 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Continent is one of (Africa, Asia, Europe)",
 "Country is one of (Algeria, China, Cyprus, Iran (Islamic Republic of), Lebanon, Syrian Arab Republic, Libya, Morocco, Nepal, Pakistan, Palestine, State of, Türkiye, Viet Nam, India, Lao People’s Democratic Republic, Tunisia, Jordan, Greece)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is one of (Cupressus atlantica, Cupressus cashmeriana, Cupressus dupreziana atlantica, Cupressus chengiana, Cupressus chengiana chengiana, Cupressus chengiana jiangeensis, Cupressus chengiana jiangensis, Cupressus chengiana jiangensis, Cupressus chengiana kansouensis, Cupressus chengiana wenchuanhsiensis, Cupressus chengiana kansouensis, Cupressus austrotibetica, Cupressus dupreziana lereddei, Cupressus dupreziana atlantica, Cupressus dupreziana, Cupressus dupreziana dupreziana, Cupressus corneyana, Cupressus corneyana, Cupressus fallax, Cupressus funebris, Cupressus funebris tonkinensis, Cupressus funebris gracilis, Cupressus gansuensis, Cupressus majestica, Cupressus rushforthii, Cupressus sempervirens, Cupressus tonkinensis, Cupressus torulosa, Cupressus torulosa)"
 ]
}

 The dataset includes 4532 records from 86 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0007595-260208012135463/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.9sh67u
title: Occurrence Download

description: A dataset containing 18 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Apareiodon argenteus",
 "DecimalLatitude is not null",
 "DecimalLongitude is not null"
 ]
}

 The dataset includes 18 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0007596-260208012135463/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.18739/a2j38kk6r
title: Total Sky Imager (TSI) Measurements at Summit Station, Greenland, 2022

description: ### Access
All files can be accessed and downloaded from the directory via: [http://arcticdata.io/data/10.18739/A2J38KK6R](http://arcticdata.io/data/10.18739/A2J38KK6R).

### Overview
This data set contains measurements from a Yankee Environmental Systems Total Sky Imager deployed at Summit Station, Greenland as part of the Integrated Characterization of Energy, Clouds, Atmospheric state, and Precipitation at Summit (ICECAPS) Project. This total sky imager points vertically and collects routine images of the hemispheric view of the sky overhead that can be used to classify the sky state, calculate cloud fraction, and provide other sky information. The total sky imager was originally installed at Summit Station by Konrad Steffen’s team and was eventually transferred to the ICECAPS team for stewardship. The instrument is owned by the University of Colorado – Boulder. Field operations support is provided by the National Science Foundation's Arctic Observing Network (AON) Program.
DOI: 10.5281/zenodo.7634679
title: Ensemble Digital Terrain Model (EDTM) of the world

description: Caution: this version has been removed due to the license issue of FABDEM. Please do not use. You can access EDTM v1.1 or GEDTM from:



EDTM v1.1: doi.org/10.5281/zenodo.7676373

GEDTM30: doi.org/10.5281/zenodo.14900180


Layers include: Ensemble Digital Terrain Model (EDTM) in 250-m resolution. Unit is in metre(m) and precision is in decimetre (dm). Maps are downscaled from 30-m resolution to 250-m in order to fit the size limit. We provide 30-m EDTM and its standard deviation as links:



30-m EDTM


https://s3.eu-central-1.wasabisys.com/openlandmap/dtm/dtm.bareearth_ensemble_p10_30m_s_2018_go_epsg4326_v20230210.tif 



Standard deviation


https://s3.eu-central-1.wasabisys.com/openlandmap/dtm/dtm.bareearth_ensemble_std_30m_s_2018_go_epsg4326_v20230210.tif 

Derived using ALOS AW3D, GLO-30, MERITDEM, and national DTMs. We derived a  lower 10% quantile from all maps. In order to create bare earth data, we used canopy height (canopy height > 2m) and standard deviation (sd > 6m) to mask building and forest in AW3D and GLO-30. Practical processing is written here in Python.

To access and visualize maps use:  OpenLandMap.org

If you discover a bug, artifact or inconsistency, or if you have a question please use some of the following channels:



Technical issues and questions about the code: https://gitlab.com/openlandmap/global-layers/-/issues 

General questions and comments: https://disqus.com/home/forums/landgis/


All files internally compressed using "COMPRESS=DEFLATE" creation option in GDAL in Cloud Optimised GeoTiff (COG). File naming convention:



dtm.bareearth = variable: digital terrain model (m), bare earth

ensemble = determination method: ensemble of mutli-source dsm and dtm

p10/std = aggregation/statistics method: 10th percentile / standard deviation

250m = spatial resolution / block support: 250 m,

s = vertical reference: at surface,

go = bounding box: global land without Antarctica

epsg.4326 = ESPG code: epsg.4326

v20230210 = version code: creation date 20230210
DOI: 10.5281/zenodo.7634678
title: Ensemble Digital Terrain Model (EDTM) of the world

description: Layers include: Ensemble Digital Terrain Model (EDTM) in 250-m resolution. Unit is in metre(m) and precision is in decimetre (dm). Maps are downscaled from 30-m resolution to 250-m in order to fit the size limit. We provide 30-m EDTM and its standard deviation as links:



30-m EDTM


https://s3.eu-central-1.wasabisys.com/openlandmap/dtm/dtm.bareearth_ensemble_p10_30m_s_2018_go_epsg4326_v20230221.tif



Standard deviation


https://s3.eu-central-1.wasabisys.com/openlandmap/dtm/dtm.bareearth_ensemble_std_30m_s_2018_go_epsg4326_v20230221.tif 

Derived using ALOS AW3D, GLO-30, MERITDEM, and national DTMs. We derived a  lower 10% quantile from all maps. In order to create bare earth data, we used canopy height (canopy height > 2m) and standard deviation (sd > 6m) to mask building and forest in AW3D and GLO-30. Practical processing is written here in Python.

To access and visualize maps use:  OpenLandMap.org

If you discover a bug, artifact or inconsistency, or if you have a question please use some of the following channels:



Technical issues and questions about the code: https://gitlab.com/openlandmap/global-layers/-/issues 

General questions and comments: https://disqus.com/home/forums/landgis/


All files internally compressed using "COMPRESS=DEFLATE" creation option in GDAL in Cloud Optimised GeoTiff (COG). File naming convention:



dtm.bareearth = variable: digital terrain model (m), bare earth

ensemble = determination method: ensemble of mutli-source dsm and dtm

p10/std = aggregation/statistics method: 10th percentile / standard deviation

250m = spatial resolution / block support: 250 m,

s = vertical reference: at surface,

go = bounding box: global land without Antarctica

epsg.4326 = ESPG code: epsg.4326

v20230221 = version code: creation date 20230221
DOI: 10.5281/zenodo.18605169
title: Surface-Specific Silkworm Pupae Gender Classification Dataset

description: This dataset contains RGB images of silkworm pupae captured from ventral and dorsal surfacesand used in the study:

"Enhancing Silkworm Pupae Gender Classification via Surface-Specific Deep Learning".

The dataset is archived to support reproducibility of the reported results.
DOI: 10.5281/zenodo.18605170
title: Surface-Specific Silkworm Pupae Gender Classification Dataset

description: This dataset contains RGB images of silkworm pupae captured from ventral and dorsal surfacesand used in the study:

"Enhancing Silkworm Pupae Gender Classification via Surface-Specific Deep Learning".

The dataset is archived to support reproducibility of the reported results.
DOI: 10.15468/dl.anutgc
title: Occurrence Download

description: A dataset containing 68 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Bowiea volubilis",
 "HasCoordinate is true",
 "BasisOfRecord is one of (Specimen)"
 ]
}

 The dataset includes 68 records from 16 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0007597-260208012135463/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.p7nw62
title: Occurrence Download

description: A dataset containing 10 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Apareiodon cavalcante",
 "DecimalLatitude is not null",
 "DecimalLongitude is not null"
 ]
}

 The dataset includes 10 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0007598-260208012135463/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.6084/m9.figshare.30875873
title: Data and Code for Rationales for microbial conservation

description: Data for three second-order meta-analyses. These analyses aim to: (1) identify and rank the global change drivers threatening microbial diversity, composition, and function; (2) quantify the instrumental value of microbes for ecosystem services and host health; and (3) determine the impact of existing conservation interventions on these community properties.
DOI: 10.6084/m9.figshare.30875873.v1
title: Data and Code for Rationales for microbial conservation

description: Data for three second-order meta-analyses. These analyses aim to: (1) identify and rank the global change drivers threatening microbial diversity, composition, and function; (2) quantify the instrumental value of microbes for ecosystem services and host health; and (3) determine the impact of existing conservation interventions on these community properties.
DOI: 10.57967/hf/7786
title: observatorio-cientifico-publico
DOI: 10.13140/rg.2.2.31911.00164
title: Organizational Culture
DOI: 10.15468/dl.7mjcru
title: Occurrence Download

description: A dataset containing 225 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Brimeura amethystina",
 "HasCoordinate is true",
 "BasisOfRecord is one of (Specimen)"
 ]
}

 The dataset includes 225 records from 30 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0007600-260208012135463/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.j59q7q
title: Occurrence Download

description: A dataset containing 3 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Apareiodon tigrinus",
 "DecimalLatitude is not null",
 "DecimalLongitude is not null"
 ]
}

 The dataset includes 3 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0007601-260208012135463/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.