cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15468/dl.shue5u
title: Occurrence Download

description: A dataset containing 606533 records in GBIF matching the query:
SELECT
 kingdom,
 kingdomkey,
 phylum,
 phylumkey,
 class,
 classkey,
 "order",
 orderkey,
 family,
 familykey,
 genus,
 genuskey,
 species,
 specieskey,
 "year",
 IF(ISNULL(kingdomkey), NULL, SUM(COUNT(*)) OVER (
 PARTITION BY kingdomkey, "year")) kingdomcount,
 IF(ISNULL(phylumkey), NULL, SUM(COUNT(*)) OVER (
 PARTITION BY phylumkey, "year")) phylumcount,
 IF(ISNULL(classkey), NULL, SUM(COUNT(*)) OVER (
 PARTITION BY classkey, "year")) classcount,
 IF(ISNULL(orderkey), NULL, SUM(COUNT(*)) OVER (
 PARTITION BY orderkey, "year")) ordercount,
 IF(ISNULL(familykey), NULL, SUM(COUNT(*)) OVER (
 PARTITION BY familykey, "year")) familycount,
 IF(ISNULL(genuskey), NULL, SUM(COUNT(*)) OVER (
 PARTITION BY genuskey, "year")) genuscount,
 COUNT(*) occurrences,
 MIN(GBIF_TEMPORALUNCERTAINTY(eventdate, eventtime)) mintemporaluncertainty,
 MIN(COALESCE(coordinateuncertaintyinmeters, 1000)) mincoordinateuncertaintyinmeters
FROM
 occurrence
WHERE
 occurrence.countrycode = 'BR'
 AND occurrence.occurrencestatus = 'PRESENT'
 AND (occurrence."year" &gt;= 2000 AND occurrence."year" &lt;= 2025)
 AND occurrence.hasgeospatialissues = FALSE
 AND NOT GBIF_STRINGARRAYCONTAINS(occurrence.issue, 'TAXON_MATCH_FUZZY', TRUE)
 AND (occurrence.distancefromcentroidinmeters &gt;= 2000.0 OR occurrence.distancefromcentroidinmeters IS NULL)
 AND NOT occurrence.basisofrecord IN ('FOSSIL_SPECIMEN', 'LIVING_SPECIMEN')
 AND (occurrence.specieskey IS NOT NULL AND occurrence."year" IS NOT NULL)
GROUP BY
 occurrence.kingdom,
 occurrence.kingdomkey,
 occurrence.phylum,
 occurrence.phylumkey,
 occurrence.class,
 occurrence.classkey,
 occurrence."order",
 occurrence.orderkey,
 occurrence.family,
 occurrence.familykey,
 occurrence.genus,
 occurrence.genuskey,
 occurrence.species,
 occurrence.specieskey,
 occurrence."year"

 The dataset's 606533 records were derived from 2250 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0038996-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.fv642g
title: Occurrence Download

description: A dataset containing 48 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Canada",
 "DatasetKey is Natural History Museum (London) Collection Specimens",
 "OccurrenceStatus is Present",
 "Year 1766-1766"
 ]
}

 The dataset includes 48 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0072820-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.e34aak
title: Occurrence Download

description: A dataset containing 561 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Peru",
 "Geometry POLYGON((-71.3005 -17.57187,-70.46046 -16.98654,-69.98368 -16.00694,-70.6875 -15.26358,-71.68646 -14.8909,-72.93517 -14.78117,-73.61629 -14.69334,-75.64573 -14.74319,-71.3005 -17.57187))",
 "HasGeospatialIssue is false",
 "TaxonKey is Anas flavirostris Vieillot, 1816",
 "Year 2021-2025"
 ]
}

 The dataset includes 561 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0072821-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.6073/pasta/a917f65f878dbeee838c7698bf266322
title: PIE LTER 15-minute Wind speed and direction in the lower Plum Island Sound at the Ipswich Bay Yacht Club pier, Ipswich, MA, year 2024.

description: Wind speed and direction measurements for 2024 at Ipswich Bay Yacht Club, Ipswich, MA. Wind speed is measured every 5 seconds and reported as an average in 15 minute intervals. Maximum wind speed is also reported for each 15 minute interval with a timestamp. Wind direction is measured every 15 minutes.
DOI: 10.15468/dl.dwwwke
title: Occurrence Download

description: A dataset containing 1045934 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Carassius auratus (Linnaeus, 1758), Carassius carassius (Linnaeus, 1758), Ctenopharyngodon idella (Valenciennes, 1844), Cyprinus carpio Linnaeus, 1758, Esox lucius Linnaeus, 1758)",
 "HasCoordinate is true"
 ]
}

 The dataset includes 1045934 records from 1127 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0072815-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.cfcf43
title: Occurrence Download

description: A dataset containing 9459 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is United States of America",
 "DatasetKey is iNaturalist Research-grade Observations",
 "Geometry POLYGON((-105.02536 31.81319,-104.71119 31.81319,-104.71119 32.00043,-105.02536 32.00043,-105.02536 31.81319))"
 ]
}

 The dataset includes 9459 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0072822-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.2b8j6e
title: Occurrence Download

description: A dataset containing 6544 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is United States of America",
 "DatasetKey is iNaturalist Research-grade Observations",
 "Geometry POLYGON((-156.25676 20.62638,-156.04041 20.62638,-156.04041 20.77244,-156.25676 20.77244,-156.25676 20.62638))"
 ]
}

 The dataset includes 6544 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0072823-241126133413365/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.28220000
title: Date SET <b>“Factors Influencing the Integration of Technology of High School English Teachers in Indonesia: Analysis Structural Equation Modelling (SEM) and Partial Least Square (PLS)</b>

description: This study aims to present teachers’ understanding of TPACK(technology, pedagogy, and content knowledge) and how TPACK is manifestedin use, and the research examines the concept of teachers’ technology integration(Tecint). In particular, the primary purpose of this study is to find out the factorsthat influence English teachers in technology integration in Jambi city,Indonesia. This study is a cross-sectional survey in which the data were collectedat one point in time from a sample of 294 English teachers.
DOI: 10.5281/zenodo.14646747
title: Data from Hot spots and prospects of rural landscape aesthetics research based on bibliometric methods

description: 数据来源于 CNKI(中国国家知识基础设施)和 SCI(科学引文索引),包括国内和国际乡村景观美学研究第一阶段的研究文本 (TXT),以及第二阶段的研究文献数据(跨越五个不同的研究领域)。
DOI: 10.5281/zenodo.14646748
title: Data from Hot spots and prospects of rural landscape aesthetics research based on bibliometric methods

description: 数据来源于 CNKI(中国国家知识基础设施)和 SCI(科学引文索引),包括国内和国际乡村景观美学研究第一阶段的研究文本 (TXT),以及第二阶段的研究文献数据(跨越五个不同的研究领域)。
DOI: 10.13021/orc2020/50yzlt/gmlsug
title: DEMend - Tutorial.docx
DOI: 10.13021/orc2020/50yzlt/qvsffn
title: BridgesCulverts.zip
DOI: 10.13021/orc2020/50yzlt/hpetvj
title: DEM.tfw
DOI: 10.13021/orc2020/50yzlt/ly0a8q
title: DEM.tif
DOI: 10.13021/orc2020/50yzlt/tds2yz
title: DEMend.atbx
DOI: 10.13021/orc2020/50yzlt/56fb2b
title: DEM.tif.aux.xml
DOI: 10.13021/orc2020/50yzlt/b3ps4i
title: arcgispro-py3-clone.yml
DOI: 10.13021/orc2020/50yzlt/cwppup
title: DEM.tif.xml
DOI: 10.13021/orc2020/50yzlt/jck7hb
title: domain.zip
DOI: 10.13021/orc2020/50yzlt/tleag7
title: DEM.tif
DOI: 10.5281/zenodo.14284408
title: Analysis of associations between cancer driver mutations and PPI neighbours

description: Data files necessary to run the analysis of associations between cancer driver mutation status and its protein physical interactors.

Code for the analysis is available at: https://github.com/GamaPintoLab/driver_neighbours

The raw data files were retrieved from the TCGA Pan Cancer cohort through the UCSC Xena online tool (https://pancanatlas.xenahubs.net):

1- gene expression data  https://tcga-pancan-atlas-hub.s3.us-east-1.amazonaws.com/download/EB%2B%2BAdjustPANCAN_IlluminaHiSeq_RNASeqV2.geneExp.xena.gz2- mutation data https://tcga-pancan-atlas-hub.s3.us-east-1.amazonaws.com/download/mc3.v0.2.8.PUBLIC.nonsilentGene.xena.gz3- clinical data https://tcga-pancan-atlas-hub.s3.us-east-1.amazonaws.com/download/Survival_SupplementalTable_S1_20171025_xena_sp4- disease and sample type data https://tcga-pancan-atlas-hub.s3.us-east-1.amazonaws.com/download/TCGA_phenotype_denseDataOnlyDownload.tsv.gz

Cancer driver genes included in the study were collected from http://network-cancer-genes.org/
DOI: 10.5281/zenodo.14674267
title: Analysis of associations between cancer driver mutations and PPI neighbours

description: Data files necessary to run the analysis of associations between cancer driver mutation status and its protein physical interactors.

Code for the analysis is available at: https://github.com/GamaPintoLab/driver_neighbours

The raw data files were retrieved from the TCGA Pan Cancer cohort through the UCSC Xena online tool (https://pancanatlas.xenahubs.net):

1- gene expression data  https://tcga-pancan-atlas-hub.s3.us-east-1.amazonaws.com/download/EB%2B%2BAdjustPANCAN_IlluminaHiSeq_RNASeqV2.geneExp.xena.gz2- mutation data https://tcga-pancan-atlas-hub.s3.us-east-1.amazonaws.com/download/mc3.v0.2.8.PUBLIC.nonsilentGene.xena.gz3- clinical data https://tcga-pancan-atlas-hub.s3.us-east-1.amazonaws.com/download/Survival_SupplementalTable_S1_20171025_xena_sp4- disease and sample type data https://tcga-pancan-atlas-hub.s3.us-east-1.amazonaws.com/download/TCGA_phenotype_denseDataOnlyDownload.tsv.gz

Cancer driver genes included in the study were collected from http://network-cancer-genes.org/
DOI: 10.13021/orc2020/50yzlt
title: DEMend: Automating hydrological correction of Digital Elevation Models for enhanced urban flood modeling

description: The DEMend Toolbox is designed to automate the process of hydrological correction for Digital Elevation Models (DEMs). It incorporates existing, publicly available datasets, such as road networks, stream networks, and bridges/culverts, to identify and remove obstructions from DEMs. This improves flood modeling and hydrological analysis by ensuring accurate terrain representation for water flow analysis.
description: Also available on Github: 
https://github.com/MasonFloodHazardsResearchLab/DEMend
DOI: 10.13021/orc2020/50yzlt/omz57c
title: Roads.zip
DOI: 10.13021/orc2020/50yzlt/y1tkmo
title: StreamNetwork.zip
DOI: 10.15468/dl.b4jg92
title: Occurrence Download

description: A dataset containing 39441 species occurrences available in GBIF matching the query:
{
 "and" : [
 "GadmGid is BRA.22_1",
 "TaxonKey is Insecta"
 ]
}

 The dataset includes 39441 records from 132 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0072824-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.13021/orc2020/ta0syj/6ltoks
title: Controle_GFAP_Fisiologico_24h_05dapi.tif
DOI: 10.13021/orc2020/ta0syj/xjpokz
title: Controle_GFAP_Fisiologico_24h_09.tif
DOI: 10.13021/orc2020/ta0syj/pc8v6m
title: Controle_GFAP_glutamato_24h_01_dapi.tif
DOI: 10.13021/orc2020/ta0syj/vszqt7
title: Controle_GFAP_Fisiologico_24h_15.tif
DOI: 10.13021/orc2020/ta0syj/ueo1qo
title: Controle_GFAP_glutamato_24h_14_dapi.tif
DOI: 10.13021/orc2020/ta0syj/7cgcje
title: Controle_GLAST_06_DAPI_40x.png
DOI: 10.13021/orc2020/ta0syj/bfswrk
title: Controle_GLAST_05_DAPI_40x.png
DOI: 10.13021/orc2020/ta0syj/s8tmk3
title: Controle_GLAST_02_40x.png
DOI: 10.13021/orc2020/ta0syj/yvrrxa
title: Controle_GLAST_02_DAPI_40x.png
DOI: 10.13021/orc2020/ta0syj/7oqpec
title: Controle_GLAST_13_DAPI_40x.png
DOI: 10.13021/orc2020/ta0syj/yfwss4
title: Controle_GLAST_10_DAPI_40x.png
DOI: 10.13021/orc2020/ta0syj/gdutzi
title: Controle_GLT1_0710_11.tif
DOI: 10.13021/orc2020/ta0syj/ibipkh
title: Controle_GS_0710_04.tif
DOI: 10.13021/orc2020/ta0syj/t1mowu
title: Controle_GS_0710_07.tif
DOI: 10.13021/orc2020/ta0syj/jelqy6
title: Glutamato_GLAST_02N.tif
DOI: 10.13021/orc2020/ta0syj/ejwcb1
title: Glutamato_GLAST_08N_DAPI.tif
DOI: 10.13021/orc2020/ta0syj/xa3c8i
title: Glutamato_GLAST_07N_DAPI.tif
DOI: 10.13021/orc2020/ta0syj/dx70si
title: Glutamato_GLAST_09N.tif
DOI: 10.13021/orc2020/ta0syj/e88nv6
title: Glutamato_GLAST_10N_DAPI.tif
DOI: 10.13021/orc2020/ta0syj/qgsfie
title: Glutamato_GLAST_13N_DAPI.tif
DOI: 10.13021/orc2020/ta0syj/5ggb3j
title: Glutamato_GLAST_17N.tif
DOI: 10.13021/orc2020/ta0syj/ahzkja
title: Glutamato_GLT1_0710_03.tif
DOI: 10.13021/orc2020/ta0syj/0ec9n9
title: Glutamato_GLT1_0710_10_DAPI.tif
DOI: 10.13021/orc2020/ta0syj/lrxxsg
title: Glutamato_GLT1_0710_07.tif
DOI: 10.13021/orc2020/ta0syj/qv5xgq
title: Glutamato_GLT1_0710_05_DAPI.tif
DOI: 10.13021/orc2020/ta0syj/uc7i9e
title: Glutamato_GLT1_0710_07_DAPI.tif
DOI: 10.13021/orc2020/ta0syj/fulp9q
title: Glutamato_IGLAST_02_DAPI_40x.png
DOI: 10.13021/orc2020/ta0syj/qechbl
title: Glutamato_IGS_01_40x.png
DOI: 10.13021/orc2020/ta0syj/skje54
title: Glutamato_IGS_03_40x.png
DOI: 10.13021/orc2020/ta0syj/ven89c
title: iglast_GFAP_glutamato_24h_05_dapi.tif
DOI: 10.13021/orc2020/ta0syj/iqxtu0
title: IGLAST_GLAST_06_DAPI_40x.png
DOI: 10.13021/orc2020/ta0syj/owgejw
title: IGLAST_GLAST_05_40x.png
DOI: 10.13021/orc2020/ta0syj/tzk7sv
title: IGLAST_GLAST_01_40x.png
DOI: 10.13021/orc2020/ta0syj/d8og9d
title: IGLAST_GLT1_01_40x.png
DOI: 10.13021/orc2020/ta0syj/j6tuzt
title: IGLAST_GLAST_09_40x.png
DOI: 10.13021/orc2020/ta0syj/undvjx
title: IGLAST_GLAST_11_40x.png
DOI: 10.13021/orc2020/ta0syj/jzfxhp
title: IGLAST_GLT1_11_40x.png
DOI: 10.13021/orc2020/ta0syj/kckuix
title: IGS_GFAP_Glutamato_24h_02_dapi.tif
DOI: 10.13021/orc2020/ta0syj/yb6hpe
title: IGLAST_GLT1_06_40x.png
DOI: 10.13021/orc2020/ta0syj/alff62
title: IGS_GFAP_Glutamato_24h_13_dapi.tif
DOI: 10.13021/orc2020/ta0syj/ljhndk
title: IGS_GFAP_Glutamato_24h_10_dapi.tif
DOI: 10.13021/orc2020/ta0syj/lulyq7
title: IGS_GFAP_Glutamato_24h_09_dapi.tif
DOI: 10.13021/orc2020/ta0syj/pe7qko
title: IGS_GFAP_Glutamato_24h_12_dapi.tif
DOI: 10.13021/orc2020/ta0syj/fydwq5
title: IGS_GFAP_Glutamato_24h_14.tif
DOI: 10.13021/orc2020/ta0syj/vvrpzw
title: IGS_GFAP_Glutamato_24h_15_dapi.tif
DOI: 10.15468/dl.g9mt5c
title: Occurrence Download

description: A dataset containing 20729 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is United States of America",
 "DatasetKey is iNaturalist Research-grade Observations",
 "Geometry POLYGON((-155.79839 19.05822,-155.01632 19.05822,-155.01632 19.54759,-155.79839 19.54759,-155.79839 19.05822))"
 ]
}

 The dataset includes 20729 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0072825-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.13021/orc2020/ta0syj/c8etfk
title: iglast_GFAP_glutamato_24h_06_dapi.tif
DOI: 10.13021/orc2020/ta0syj/39ba80
title: Controle_GLT1_0710_01.tif
DOI: 10.13021/orc2020/ta0syj/ahe1qi
title: Controle_GFAP_Fisiologico_24h_14dapi.tif
DOI: 10.15468/dl.mwrbap
title: Occurrence Download

description: A dataset containing 120983 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is United States of America",
 "DatasetKey is iNaturalist Research-grade Observations",
 "Geometry POLYGON((-84.01389 35.42899,-82.99804 35.42899,-82.99804 35.84132,-84.01389 35.84132,-84.01389 35.42899))"
 ]
}

 The dataset includes 120983 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0072819-241126133413365/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.28156697.v6
title: Planted forests in China have higher drought risk than natural forests

description: Drought resistance and resilience data for natural and planted forests and Extreme Gradient Boosting (XGBoost) and Shapley Additive Properties Interpretation (SHAP) modelling codes used in ‘Drought Risks of Planted Forests are Higher than Natural Forests in China’
DOI: 10.13021/orc2020/ta0syj/jvyezf
title: Glutamato_GS_0710_06.tif
DOI: 10.13021/orc2020/ta0syj/yrfkzm
title: Glutamato_GLT1_0710_08_DAPI.tif
DOI: 10.13021/orc2020/ta0syj/zzhib3
title: Glutamato_GLT1_0710_02.tif
DOI: 10.13021/orc2020/ta0syj/rkcqai
title: Controle_GFAP_Fisiologico_24h_10dapi.tif
DOI: 10.13021/orc2020/ta0syj/ktb3kg
title: iglast_GFAP_glutamato_24h_12_dapi.tif
DOI: 10.13021/orc2020/ta0syj/sxxoiw
title: GFAP.pzfx
DOI: 10.13021/orc2020/ta0syj/cvs53q
title: Controle_GS_0710_13_DAPI.tif
DOI: 10.13021/orc2020/ta0syj/fiqjr8
title: Glutamato_GLT1_0710_02_DAPI.tif
DOI: 10.13021/orc2020/ta0syj/vlhtle
title: Glutamato_IGLAST_01_DAPI_40x.png
DOI: 10.13021/orc2020/ta0syj/av6ofs
title: Controle_GLAST_08_40x.png
DOI: 10.13021/orc2020/ta0syj/e3eruz
title: IGS_GFAP_Glutamato_24h_12.tif
DOI: 10.13021/orc2020/ta0syj/irqpq4
title: Glutamato_GS_0710_03.tif
DOI: 10.13021/orc2020/ta0syj/j5fnqu
title: Glutamato_IGS_01_DAPI_40x.png
DOI: 10.13021/orc2020/ta0syj/p97iyt
title: Glutamato_GLAST_08N.tif
DOI: 10.13021/orc2020/ta0syj/qesbud
title: Glutamato_GLT1_0710_04_DAPI.tif
DOI: 10.13021/orc2020/ta0syj/spdevi
title: IGLAST_GLAST_02_DAPI_40x.png
DOI: 10.13021/orc2020/ta0syj/t4vkpj
title: Glutamato_GS_0710_11.tif
DOI: 10.15468/dl.wg6umk
title: Occurrence Download

description: A dataset containing 4899 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is United States of America",
 "DatasetKey is iNaturalist Research-grade Observations",
 "Geometry POLYGON((-93.11355 34.49878,-93.01826 34.49878,-93.01826 34.55955,-93.11355 34.55955,-93.11355 34.49878))"
 ]
}

 The dataset includes 4899 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0072826-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.13021/orc2020/ta0syj/4354hm
title: Glutamato_GLAST_14N_DAPI.tif
DOI: 10.13021/orc2020/ta0syj/52inp5
title: Controle_GLAST_12_DAPI_40x.png
DOI: 10.13021/orc2020/ta0syj/i33daf
title: Controle_GFAP_glutamato_24h_13.tif
DOI: 10.13021/orc2020/ta0syj/ngk2ha
title: Glutamato_IGLAST_01_40x.png
DOI: 10.13021/orc2020/ta0syj/ptxgyd
title: Controle_GFAP_glutamato_24h_03.tif
DOI: 10.13021/orc2020/ta0syj/r99nwt
title: Glutamato_GLAST_13N.tif
DOI: 10.13021/orc2020/ta0syj/vnbj03
title: Glutamato_GLAST_01N_DAPI.tif
DOI: 10.13021/orc2020/ta0syj/aybq5m
title: Glutamato_IGLAST_05_40x.png
DOI: 10.13021/orc2020/ta0syj/cvfbdo
title: Controle_GS_0710_17_DAPI.tif
DOI: 10.13021/orc2020/ta0syj/qmpzvv
title: Controle_GFAP_glutamato_24h_03_dapi.tif
DOI: 10.13021/orc2020/ta0syj/agrkvl
title: Glutamato_IGLAST_07_40x.png
DOI: 10.13021/orc2020/ta0syj/fhfdyd
title: Glutamato_GLAST_14N.tif
DOI: 10.13021/orc2020/ta0syj/pdak0q
title: IGS_GFAP_Glutamato_24h_05_dapi.tif
DOI: 10.13021/orc2020/ta0syj/pvaso0
title: Glutamato_IGS_02_40x.png
DOI: 10.13021/orc2020/ta0syj/0szahw
title: Glutamato_GS_0710_02.tif
DOI: 10.13021/orc2020/ta0syj/0uf4qx
title: Controle_GFAP_glutamato_24h_10.tif
DOI: 10.13021/orc2020/ta0syj/6vdq9m
title: Controle_GLAST_05_40x.png
DOI: 10.13021/orc2020/ta0syj/8h21qz
title: iglast_GFAP_glutamato_24h_13_DAPI.tif
DOI: 10.13021/orc2020/ta0syj/bvb119
title: Glutamato_GS_0710_05_DAPI.tif
DOI: 10.13021/orc2020/ta0syj/coymu0
title: Glutamato_IGS_02_DAPI_40x.png
DOI: 10.13021/orc2020/ta0syj/f07aks
title: Glutamato_GS_0710_07_DAPI.tif
DOI: 10.13021/orc2020/ta0syj/gp9mre
title: Controle_GFAP_Fisiologico_24h_12dapi.tif
DOI: 10.13021/orc2020/ta0syj/kjvimg
title: IGS_GFAP_Glutamato_24h_08_dapi.tif
DOI: 10.13021/orc2020/ta0syj/mbmhhp
title: IGS_GFAP_Glutamato_24h_01_dapi.tif
DOI: 10.13021/orc2020/ta0syj/mmeuzw
title: Glutamato_GLT1_0710_05.tif
DOI: 10.13021/orc2020/ta0syj/mt5nha
title: Glutamato_IGLAST_10_40x.png
DOI: 10.15468/dl.g86vf5
title: Occurrence Download

description: A dataset containing 3937 species occurrences available in GBIF matching the query:
{
 "and" : [
 "GadmGid is USA.5_1",
 "OccurrenceStatus is Present",
 "TaxonKey is Anthomyiidae"
 ]
}

 The dataset includes 3937 records from 20 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0072827-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.13021/orc2020/ta0syj/5de4ze
title: Controle_GS_0710_11.tif
DOI: 10.13021/orc2020/ta0syj/5mkkgk
title: Controle_GLT1_0710_10_DAPI.tif
DOI: 10.13021/orc2020/ta0syj/b1l4xg
title: IGLAST_GLT1_03_40x.png
DOI: 10.13021/orc2020/ta0syj/cfqlwq
title: Controle_GLT1_0710_01_DAPI.tif
DOI: 10.13021/orc2020/ta0syj/gsgdkk
title: Controle_GFAP_glutamato_24h_12.tif
DOI: 10.13021/orc2020/ta0syj/kmf4vr
title: Controle_GLT1_0710_12_DAPI.tif
DOI: 10.13021/orc2020/ta0syj/mxrm95
title: Controle_GFAP_Fisiologico_24h_12.tif
DOI: 10.13021/orc2020/ta0syj/rzkuvi
title: Controle_GLAST_13_40x.png
DOI: 10.13021/orc2020/ta0syj/tsrfcd
title: Controle_GFAP_glutamato_24h_07_dapi.tif
DOI: 10.13021/orc2020/ta0syj/00f91r
title: Controle_GFAP_Fisiologico_24h_08.tif
DOI: 10.13021/orc2020/ta0syj/fzpz57
title: Glutamato_GS_0710_08_DAPI.tif
DOI: 10.13021/orc2020/ta0syj/gd0rnv
title: IGS + GLUTAMATO_12 (1).png
DOI: 10.13021/orc2020/ta0syj/mhgce1
title: Controle_GFAP_glutamato_24h_08.tif
DOI: 10.13021/orc2020/ta0syj/xh9pab
title: Controle_GFAP_glutamato_24h_13_dapi.tif
DOI: 10.17035/cardiff.28142579
title: Data for the paper : <i>Age-Trajectories of Higher-Order Diffusion Properties of Major Brain Metabolites in Cerebral and Cerebellar Gray Matter Using In Vivo Diffusion-Weighted MR Spectroscopy at 3T</i>

description: Quantified metabolite (total N-acetyl-aspartate, total Choline and total Creatine) signals for different participant diffusion-weightings are stored in the <b><i>dMRS_aging_fitResults file</i></b>. Data is stored in 'xlsx' format including the participants' demographic information (age and sex).The b-values for all directions, obtained from the gradient chronograms, are stored in the <b><i>b_values_from_chrono</i></b> file.The JSON file contains the diffusion model fitting results using the nonlinear least squares method. (<b><i>dMRS_aging_diffAnalysis_least_squares.json</i></b>)<br><br><br><br>
DOI: 10.13021/orc2020/ta0syj/2zf8bd
title: IGS_GFAP_Glutamato_24h_08.tif
DOI: 10.13021/orc2020/ta0syj/cnkjef
title: Glutamato_GLAST_06N_DAPI.tif
DOI: 10.13021/orc2020/ta0syj/ediyen
title: Glutamato_GS_0710_10.tif
DOI: 10.13021/orc2020/ta0syj/iiin15
title: Controle_GLAST_08_DAPI_40x.png
DOI: 10.13021/orc2020/ta0syj/iw5hee
title: Glutamato_GLT1_0710_06_DAPI.tif
DOI: 10.13021/orc2020/ta0syj/qiquou
title: Controle_GFAP_Fisiologico_24h_06dapi.tif
DOI: 10.13021/orc2020/ta0syj/rputbi
title: Controle_GFAP_Fisiologico_24h_03dapi.tif
DOI: 10.13021/orc2020/ta0syj/ugjmu0
title: Glutamato_GS_0710_05.tif
DOI: 10.13021/orc2020/ta0syj/2lcunp
title: Controle_GFAP_Fisiologico_24h_14.tif
DOI: 10.13021/orc2020/ta0syj/edjw5r
title: IGLAST_GLAST_07_40x.png
DOI: 10.13021/orc2020/ta0syj/iqdjn0
title: IGLAST_GLT1_05_40x.png
DOI: 10.13021/orc2020/ta0syj/iuq3n3
title: Controle_GS_0710_02.tif
DOI: 10.13021/orc2020/ta0syj/jmskbr
title: Controle_GLT1_0710_06.tif
DOI: 10.13021/orc2020/ta0syj/pjo5ef
title: Glutamato_GLAST_03N_DAPI.tif
DOI: 10.13021/orc2020/ta0syj/wkskwt
title: Glutamato_GLAST_15N_DAPI.tif
DOI: 10.13021/orc2020/ta0syj/s7qzcc
title: Controle_GS_0710_06.tif
DOI: 10.13021/orc2020/ta0syj/tlt2mz
title: Glutamato_GLAST_12N_DAPI.tif
DOI: 10.13021/orc2020/ta0syj/0ykgng
title: Controle_GS_0710_08.tif
DOI: 10.13021/orc2020/ta0syj/u9qdkd
title: Glutamato_GS_0710_09.tif
DOI: 10.13021/orc2020/ta0syj/x2r9r5
title: IGS_GFAP_Glutamato_24h_13.tif
DOI: 10.13021/orc2020/ta0syj/wsoipz
title: Glutamato_GLT1_0710_01_DAPI.tif