cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15468/dl.aj76vp
title: Occurrence Download

description: A dataset containing 730 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Tridacna gigas (Linnaeus, 1758)"
 ]
}

 The dataset includes 730 records from 44 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0004179-250218110819086/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.89uw5p
title: Occurrence Download

description: A dataset containing 2 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Specimen",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Stelis asperilinguis (Rchb.f. & Warsz.) Karremans"
 ]
}

 The dataset includes 2 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0004180-250218110819086/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.8emxfj
title: Occurrence Download

description: A dataset containing 3105 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Felis chaus Schreber, 1777"
 ]
}

 The dataset includes 3105 records from 58 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0004181-250218110819086/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17632/fxzjkryx2n.1
title: An image dataset for classification of pebble types

description: The dataset contains 3795 images. There are total 13 types of Pebble. 
Each of this folder contains more than 200 images. All the images are in .jpg format.
DOI: 10.6073/pasta/076c743dc3e825b7881b96e6d38753d4
title: Meteorology Data from the Sevilleta National Wildlife Refuge, New Mexico

description: These files contain hourly meteorological data that were collected from a network of permanent weather stations on the Sevilleta National Wildlife Refuge as part of the Sevilleta Long Term Ecological Research Program.
DOI: 10.15468/dl.6nqqz6
title: Occurrence Download

description: A dataset containing 60307 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Felis silvestris Schreber, 1777"
 ]
}

 The dataset includes 60307 records from 494 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0004182-250218110819086/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17632/scpw5sncwd.1
title: An image dataset for leather types in Bangladesh

description: This dataset focuses on leather goods commonly found in Bangladesh.
The main objective was to gather information and images of these items to study their material composition and understand the manufacturing and design processes.
This dataset contains 9 folder and a total number of 1183 images has been collected.
DOI: 10.17632/w68f9w6jmm.1
title: An image dataset for food waste in Bangladesh

description: The dataset comprises a collection of images documenting food waste from various contexts, such as restaurants, buffets, and events like weddings. These images aim to capture diverse scenarios of food waste to aid in understanding and analyzing waste patterns in different settings. The data collection process involved visiting multiple locations, including restaurants, buffet establishments, and weddings, and capturing pictures.
There are total 5 folder and the dataset contains 645 images. All the images are in .jpg format.
DOI: 10.15468/dl.qcdwaj
title: Occurrence Download

description: A dataset containing 8464 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Plantae",
 "Geometry POLYGON ((-96.96667 19.56667, -96.83333 19.56667, -96.83333 19.63333, -96.96667 19.63333, -96.96667 19.56667))",
 "Year is greater than or equal to 1900",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Material citation)"
 ]
 }
 }
 ]
}

 The dataset includes 8464 records from 101 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0004183-250218110819086/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17632/6srvhg39t8.1
title: Evaluating the influences of bedrock composition and seasonality on silicate weathering processes and dissolved δ7Li in Hong Kong rivers

description: Data Repository Items for our upcoming manuscript on "Evaluating the influences of bedrock composition and seasonality on silicate weathering processes and dissolved δ7Li in Hong Kong rivers".

2 files are attached in this repository:
Manuscript Tables: Table 1, Table 2 and Table S1 located in the manuscript and supplementary material are included in separate sheets. 
Supplementary Data File 1: The supplementary data file contains the complete dataset for all individual samples and elements measured in this study.

Table captions:
Table 1: Selected in-situ geochemical data, dissolved load elemental concentrations and isotopic ratios from all localities. Full elemental data are in supplementary file 1.
a Mean value from all repeated samples from each season is presented.
b “W” indicates mean value from wet summer season samples. “D” indicates mean value from dry winter season values. 
c “n” indicates how many repeated samples obtained to calculate mean values
d “ND” indicates this variable was not determined during analyses.

Table 2: Breakdown of clay mineralogical abundances for all 7 sampling localities.

Table S1: Certified reference materials (CRM) and their errors for lithium isotopic measurements. Run 1 includes only wet season samples from July-August 2019. Run 2 includes both dry and wet season samples from January 2020 and September 2021 respectively. “n” indicates how many repeated measurements for each CRM during the run.
DOI: 10.17632/6srvhg39t8.2
title: Lithological and seasonal influences on Li isotope fractionation during silicate weathering

description: Data Repository Items for our upcoming manuscript on "Lithological and seasonal influences on Li isotope fractionation during silicate weathering" submitted to Geochimica et Cosmochimica Acta.

2 files are attached in this repository:
Manuscript Tables: Table 1, Table 2, Table 3 and Table 4 and Table S1 located in the manuscript and supplementary material are included in separate sheets. 
Supplementary Data File 1: The supplementary data file contains the complete dataset for all individual samples and elements measured in this study.

Table captions:
Table 1. Information on sampling localities

Table 2. Selected in-situ geochemical data, dissolved load elemental concentrations and Li isotopic ratios from all localities. Full elemental data are in supplementary file 1.
a Mean value from all repeated samples from each season is presented.
b “W” indicates mean value from wet summer season samples. “D” indicates mean value from dry winter season values. 
c “n” indicates how many repeated samples obtained to calculate mean values
d “ND” indicates this variable was not determined during analyses.

Table 3. Li concentrations and isotopic values from bedload and bedrock from all localities. The lithology of the bedrock digested is also listed.
a “ND” indicates this variable was not determined during analyses.

Table 4. Breakdown of bedload clay mineralogical abundances.

Table S1: Certified reference materials (CRM) and their errors for lithium isotopic measurements. Run 1 includes only wet season samples from July-August 2019. Run 2 includes both dry and wet season samples from January 2020 and September 2021 respectively. “n” indicates how many repeated measurements for each CRM during the run.
DOI: 10.17632/6srvhg39t8.3
title: Lithological and seasonal influences on Li isotope fractionation during silicate weathering

description: Data Repository Items for our upcoming manuscript on "Lithological and seasonal influences on Li isotope fractionation during silicate weathering" submitted to Geochimica et Cosmochimica Acta.

2 files are attached in this repository:
Manuscript Tables: Table 1, Table 2, Table 3 and Table 4 and Table S1 located in the manuscript and supplementary material are included in separate sheets. 
Supplementary Data File 1: The supplementary data file contains the complete dataset for all individual samples and elements measured in this study.

Table captions:
Table 1. Information on sampling localities

Table 2. Selected in-situ geochemical data, dissolved load elemental concentrations and Li isotopic ratios from all localities. Full elemental data are in supplementary file 1.
a Mean value from all repeated samples from each season is presented.
b “W” indicates mean value from wet summer season samples. “D” indicates mean value from dry winter season values. 
c “n” indicates how many repeated samples obtained to calculate mean values
d “ND” indicates this variable was not determined during analyses.

Table 3. Li concentrations and isotopic values from bedload and bedrock from all localities. The lithology of the bedrock digested is also listed.
a “ND” indicates this variable was not determined during analyses.

Table 4. Breakdown of bedload clay mineralogical abundances.

Table S1: Certified reference materials (CRM) and their errors for lithium isotopic measurements. Run 1 includes only wet season samples from July-August 2019. Run 2 includes both dry and wet season samples from January 2020 and September 2021 respectively. “n” indicates how many repeated measurements for each CRM during the run.
DOI: 10.17632/6srvhg39t8.4
title: Lithological and seasonal influences on Li isotope fractionation during silicate weathering

description: Data Repository Items for our upcoming manuscript on "Lithological and seasonal influences on Li isotope fractionation during silicate weathering" submitted to Geochimica et Cosmochimica Acta.

2 files are attached in this repository:
Manuscript Tables: Table 1, Table 2, Table 3 and Table 4 and Table S1 located in the manuscript and supplementary material are included in separate sheets. 
Supplementary Data File 1: The supplementary data file contains the complete dataset for all individual samples and elements measured in this study.

Table captions:
Table 1. Information on sampling localities

Table 2. Selected in-situ geochemical data, dissolved load elemental concentrations and Li isotopic ratios from all localities. Full elemental data are in supplementary file 1.
a Mean value from all repeated samples from each season is presented.
b “W” indicates mean value from wet summer season samples. “D” indicates mean value from dry winter season values. 
c “n” indicates how many repeated samples obtained to calculate mean values
d “ND” indicates this variable was not determined during analyses.

Table 3. Li concentrations and isotopic values from bedload and bedrock from all localities. The lithology of the bedrock digested is also listed.
a “ND” indicates this variable was not determined during analyses.

Table 4. Breakdown of bedload clay mineralogical abundances.

Table S1: Certified reference materials (CRM) and their errors for lithium isotopic measurements. Run 1 includes only wet season samples from July-August 2019. Run 2 includes both dry and wet season samples from January 2020 and September 2021 respectively. “n” indicates how many repeated measurements for each CRM during the run.
DOI: 10.17632/xdppjz4674.1
title: Plant pollinator interactions in green areas subjected to spillover analysis

description: This dataset highlights the interactions between plants, pollinators and pathogens in green spaces. The data were collected in Milan, Italy, a highly urbanised city with a well-distributed network of green areas. The data provide insights into these interactions in six green areas of different categories (historic parks, modern parks and roundabouts). The dataset is particularly relevant for research aimed at understanding and mitigating threats to pollinator health and biodiversity in urban environments, where the interaction between managed and wild bees is a major concern.
DOI: 10.6084/m9.figshare.28395590
title: Supplementary Data 8

description: Fasta file of all identified protein sequences from these experiments that were used as input for MetaGOmics analysis.
DOI: 10.6084/m9.figshare.28395590.v2
title: Supplementary Data 8

description: Fasta file of all identified protein sequences from these experiments that were used as input for MetaGOmics analysis.
DOI: 10.6084/m9.figshare.28395590.v1
title: File S3

description: Fasta file of all identified protein sequences from these experiments that were used as input for MetaGOmics analysis.
DOI: 10.5281/zenodo.14902893
title: AMPERE Summary Plot Movies (2011-Jun)

description: 2011-Jun AMPERE summary plot movies. See included zenodo_summary_plot_movie_description document for details.
DOI: 10.5281/zenodo.14902894
title: AMPERE Summary Plot Movies (2011-Jun)

description: 2011-Jun AMPERE summary plot movies. See included zenodo_summary_plot_movie_description document for details.
DOI: 10.15468/dl.2t2kh4
title: Occurrence Download

description: A dataset containing 3851 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Plantae",
 "Geometry POLYGON ((-97.03417 18.54722, -96.84139 18.54722, -96.84139 18.79694, -97.03417 18.79694, -97.03417 18.54722))",
 "Year is greater than or equal to 1900",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Material citation)"
 ]
 }
 }
 ]
}

 The dataset includes 3851 records from 72 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0004184-250218110819086/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17632/8gzxg4zyr4.1
title: Depressive Symptoms in Children and Adolescents with Autism Spectrum Disorder: Application of Cognitive Behavioral Therapy in School

description: Children and adolescents with Autism Spectrum Disorder (ASD) often exhibit symptoms of various mental disorders along with the defining features of ASD. High rates of several mental disorders have been reported in children and adolescents with or without ASD, such depression, emotional regulation difficulties, and can occur in children of all ages with evidence of ASD. Cognitive and Behavioral Therapy (CBT), through various therapeutic techniques and programs, can help children and adolescents with evidence of autism to recognize and manage their symptoms. The present study aims to examine whether a therapeutic CBT program can improve symptoms of depression a in children and adolescents with elements of ASD in the school context. Data were collected from 102 students (intervention group, N=67), (control group, N=35), Primary and Secondary Education with evidence of autism and coexisting mental disorder aged 7-16 years, through therapeutic intervention and quantitative research. The research was carried out within the school framework with the consent of the children's parents during the 2021-2023. A significant reduction in symptoms of depression were observed after the intervention. There wasn’t a gender difference before intervention. CBT programs are important tools for reducing symptoms of depression in children and adolescents with or without ASD.
Keywords: [symptoms of depressions, Autism Spectrum Disorder, Cognitive and Behavioral Therapy, school context]
DOI: 10.15468/dl.a32raq
title: Occurrence Download

description: A dataset containing 1 species occurrences available in GBIF matching the query:
{
 "and" : [
 "DatasetKey is University of Florida Herbarium (FLAS)",
 "TaxonKey is Trigonobalanus Forman"
 ]
}

 The dataset includes 1 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0004185-250218110819086/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.jut8dh
title: Occurrence Download

description: A dataset containing 2 species occurrences available in GBIF matching the query:
{
 "and" : [
 "DatasetKey is Herbario TULV - Jardín Botánico \"Juan María Céspedes\"",
 "TaxonKey is Trigonobalanus Forman"
 ]
}

 The dataset includes 2 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0004186-250218110819086/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25345/c5tb0z71m
title: MassIVE MSV000097174 - coffea_arabica_analisecromatograficaoleo
title: Amostras cromatograficas de oleo das sementes verdes de coffea arabica.
DOI: 10.17632/n87n4hvkg4.1
title: Effects of Alhagi sparsifolia Root Systems on Deformation and Strength of Sandy Soil in Cold-Arid Regions

description: This dataset contains all the original data regarding "Effects of Alhagi sparsifolia Root Systems on Deformation and Strength of Sandy Soil in Cold-Arid Regions".
DOI: 10.17909/68zd-jx71
title: The internal kinematics of NGC 2808 and its multiple populations

description: Data used in the paper
DOI: 10.17632/b5bbp256fy.1
title: LINF_070017400

description: Quinoprotein alcohol dehydrogenase-like protein; Leishmania infantum (strain JPCM5)
DOI: 10.17632/4fmddjnpy6.1
title: LINF_070017200

description: Lipoate-protein ligase-like protein; Leishmania infantum (strain JPCM5)
DOI: 10.13020/nx0a-ds57
title: Data for Detection of Exchangeable Protons in NMR Metabolomic Analysis using AI-Designed Water Irradiation Devoid Pulses

description: 1H NMR spectroscopy has enabled the quantitative profiling of metabolites in various biofluids, emerging as a possible di-agnostic tool for metabolic disorders and other diseases. To boost the signal-to-noise ratio and detect proton resonances near the water signal, current 1H NMR experiments require solvent suppression schemes (e.g., presaturation, jump-and-return, WATERGATE, excitation sculpting, etc.). Unfortunately, these techniques affect the quantitative assessment of analytes containing exchangeable protons. To address this issue, we introduce two new1D 1H NMR techniques that eliminates the water signal, preserving the intensities of exchangeable protons. Using GENETICS-AI, a software that combines an evolutionary algorithm and artificial intelligence, we tailored new WAter irradiation DEvoid (WADE) pulses and optimized 1D 1H NOESY sequence for metabolomics analysis. When applied to human urine samples, kidney tissue extract, and plasma, the WADE technique allowed for accurate measurement of typical metabolites and direct quantification of urea, which is usually challenging to measure using standard NMR experiments. We anticipate that these new NMR techniques will significantly improve the accuracy and reliability of metabolite quantitative assessment for a wide range of biological fluids.
description: Repository includes Bruker RF pulse (.mrf) files and Bruker Pulse sequence (.mpp) files
DOI: 10.6084/m9.figshare.28395587
title: Supplementary Data 7

description: Fasta files of protein sequences predicted from transcriptome for <i>Montipora capitata </i>plus contaminant protein database and 5 viral proteomes (see Table S2).
DOI: 10.6084/m9.figshare.28395587.v2
title: File S2

description: Fasta files of protein sequences predicted from transcriptome for <i>Montipora capitata </i>plus contaminant protein database and 5 viral proteomes (see Table S2).
DOI: 10.6084/m9.figshare.28395587.v3
title: Supplementary Data 7

description: Fasta files of protein sequences predicted from transcriptome for <i>Montipora capitata </i>plus contaminant protein database and 5 viral proteomes (see Table S2).
DOI: 10.15468/dl.wx5rf7
title: Occurrence Download

description: A dataset containing 10 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Mollusca",
 "Geometry POLYGON ((-93.23333 18.26667, -93.06667 18.26667, -93.06667 18.43333, -93.23333 18.43333, -93.23333 18.26667))",
 "Year is greater than or equal to 1900",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Material citation)"
 ]
 }
 }
 ]
}

 The dataset includes 10 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0004187-250218110819086/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ebetyd
title: Occurrence Download

description: A dataset containing 195 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Colombia",
 "TaxonKey is Boana rosenbergi (Boulenger, 1898)"
 ]
}

 The dataset includes 195 records from 31 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0004188-250218110819086/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.28395581
title: Supplementary Data 6

description: Fasta files of protein sequences predicted from transcriptome for <i>Montipora capitata</i> plus contaminant protein database
DOI: 10.6084/m9.figshare.28395581.v2
title: Supplementary Data 6

description: Fasta files of protein sequences predicted from transcriptome for <i>Montipora capitata</i> plus contaminant protein database
DOI: 10.6084/m9.figshare.28395581.v1
title: File S1

description: Fasta files of protein sequences predicted from transcriptome for <i>Montipora capitata</i> plus contaminant protein database
DOI: 10.6073/pasta/c33742c3986658a2d8ed06e2cfb896a1
title: Long-term seasonally and annually aggregated climatic variables for the greater Phoenix, Arizona, USA, metropolitan area and the surrounding Sonoran desert, derived from single-day NASA Daymet images, 2000 to 2022

description: This data package consists of multiple decades of bioclimatic raster data across the Central Arizona-Phoenix Long-Term Ecological Research (CAP LTER) study area within metropolitan Phoenix, Arizona, USA, temporally aggregated by year and by four meteorological seasons (winter, spring, summer, fall). We sourced each bioclimatic variable from 1-km resolution gridded estimates of daily climatic data from NASA Daymet V4, including daily mean (ppt) and total precipitation (ppt_sum), daily maximum air temperature (temp_max), daily minimum air temperature (temp_min), incident shortwave radiation flux density (srad), and daily average partial pressure of water vapor (vp). For each of these six variables, we created temporally aggregated raster images by calculating mean pixel-values of each for each season and year, as well as producing a seventh variable of seasonally and annually summed precipitation (ppt_sum). Finally, we exported images as individual GeoTIFF raster files, each with five bands corresponding values summarized annually (band 1) and seasonally (bands 2-5). All imagery retrieval and data processing were completed with Google Earth Engine (Gorelick et al. 2017) and program R. A complete description of data processing methods, including the aggregation of imagery by year and season, can be found in the data package metadata (see 'Methods and Protocols') and accompanying Javascript code.

### citations

- Gorelick N, Hancher M, Dixon M, et al. (2017) Google Earth Engine: Planetary-scale geospatial analysis for everyone. Remote Sensing of Environment 202:18–27. https://doi.org/10.1016/j.rse.2017.06.031