cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5517/ccdc.csd.cc24gywg
title: CCDC 1980586: Experimental Crystal Structure Determination

description: Related Article: Adam V. Marsh, Matthew J. Dyson, Nathan J. Cheetham, Matthew Bidwell, Mark Little, Andrew J.P. White, Colin N. Warriner, Anthony C. Swain, Iain McCulloch, Paul N. Stavrinou, Stefan C.J. Meskers, Martin Heeney|2020|Adv. Electron. Mater.|6|2000312|doi:10.1002/aelm.202000312
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.cc24gyxh
title: CCDC 1980587: Experimental Crystal Structure Determination

description: Related Article: Adam V. Marsh, Matthew J. Dyson, Nathan J. Cheetham, Matthew Bidwell, Mark Little, Andrew J.P. White, Colin N. Warriner, Anthony C. Swain, Iain McCulloch, Paul N. Stavrinou, Stefan C.J. Meskers, Martin Heeney|2020|Adv. Electron. Mater.|6|2000312|doi:10.1002/aelm.202000312
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.s8nfx6
title: Occurrence Download

description: A dataset containing 2040 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((-198 -78,-180 -78,-180 -60,-198 -60,-198 -78))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Dissostichus mawsoni",
 "Year 2003-2023"
 ]
}

 The dataset includes 2040 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002191-260129131611470/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.18432926
title: LINF_320016700

description: Exportin 1-like protein; Leishmania infantum (strain JPCM5)
DOI: 10.5281/zenodo.18432927
title: LINF_320016700

description: Exportin 1-like protein; Leishmania infantum (strain JPCM5)
DOI: 10.5281/zenodo.18432968
title: IMMUNOLOGIK MARKERLAR ASOSIDA GUILLAIN–BARRÉ SINDROMINI ERTA ANIQLASH VA KORREKSIYALASH

description: Guillain–Barré sindromi (GBS) — bu periferik asab tizimini zararlovchi o‘tkir autoimmun poliradikulonevropatiya bo‘lib, tez rivojlanadigan mushak kuchsizligi, reflekslarning yo‘qolishi va ayrim hollarda nafas yetishmovchiligi bilan kechadi. Kasallik ko‘pincha infeksiyalardan (Campylobacter jejuni, sitomegalovirus, Epstein–Barr virusi, Zika virusi) so‘ng rivojlanadi.(1-4) GBSni erta aniqlash hayot uchun muhim ahamiyatga ega bo‘lib, bu jarayonda immunologik markerlar muhim diagnostik vosita hisoblanadi. Guillain–Barré sindromi (GBS) periferik asab tizimini zararlovchi o‘tkir, immun vositachiligidagi kasallik bo‘lib, tez rivojlanadigan mushak kuchsizligi, arefleksiya va og‘ir holatlarda nafas yetishmovchiligi bilan namoyon bo‘ladi.(2)Kasallikning dastlabki bosqichlarida klinik belgilar o‘zgaruvchan bo‘lgani sababli erta tashxis qo‘yish qiyinchilik tug‘diradi. So‘nggi yillarda olib borilgan tadqiqotlar GBS patogenezida immunologik mexanizmlar yetakchi o‘rin tutishini ko‘rsatib, immunologik markerlarning erta diagnostika va davolash taktikasini belgilashdagi ahamiyatini oshirdi.GBS ko‘pincha oldindan kechgan infeksiyalardan so‘ng molekulyar mimikriya mexanizmi orqali rivojlanadi.(3-5) Bu jarayonda periferik nerv tolalari komponentlariga, ayniqsa gangliozidlarga qarshi autoantitanachalar ishlab chiqiladi. Anti-GM1, anti-GD1a, anti-GD1b va anti-GQ1b kabi anti-gangliozid antitanachalar GBSning ayrim klinik shakllari bilan chambarchas bog‘liq bo‘lib, kasallik og‘irligini va kechishini baholashda muhim ahamiyatga ega. Shuningdek, TNF-α, IL-6 va IL-17 kabi yallig‘lanish sitokinlarining oshishi hamda komplement tizimi faollashuvi nerv tolalari shikastlanishining immunologik asosini aks ettiradi.Immunologik markerlarni aniqlash GBSni erta tashxislash, uning klinik variantlarini farqlash va individual davolash usullarini tanlash imkonini beradi.(7-9)Immunologik korreksiyalashda vena ichiga immunoglobulin (IVIG) yuborish va plazmaferez asosiy davolash usullari bo‘lib, ular patogen autoantitanachalarni kamaytirish va immun yallig‘lanishni bostirishga qaratilgan.Mazkur sharhda Guillain–Barré sindromini erta aniqlash va korreksiyalashda immunologik markerlarning o‘rni yoritilib, shaxsiylashtirilgan davolash strategiyalarini ishlab chiqishdagi ahamiyati ta’kidlanadi
DOI: 10.5281/zenodo.18432967
title: IMMUNOLOGIK MARKERLAR ASOSIDA GUILLAIN–BARRÉ SINDROMINI ERTA ANIQLASH VA KORREKSIYALASH

description: Guillain–Barré sindromi (GBS) — bu periferik asab tizimini zararlovchi o‘tkir autoimmun poliradikulonevropatiya bo‘lib, tez rivojlanadigan mushak kuchsizligi, reflekslarning yo‘qolishi va ayrim hollarda nafas yetishmovchiligi bilan kechadi. Kasallik ko‘pincha infeksiyalardan (Campylobacter jejuni, sitomegalovirus, Epstein–Barr virusi, Zika virusi) so‘ng rivojlanadi.(1-4) GBSni erta aniqlash hayot uchun muhim ahamiyatga ega bo‘lib, bu jarayonda immunologik markerlar muhim diagnostik vosita hisoblanadi. Guillain–Barré sindromi (GBS) periferik asab tizimini zararlovchi o‘tkir, immun vositachiligidagi kasallik bo‘lib, tez rivojlanadigan mushak kuchsizligi, arefleksiya va og‘ir holatlarda nafas yetishmovchiligi bilan namoyon bo‘ladi.(2)Kasallikning dastlabki bosqichlarida klinik belgilar o‘zgaruvchan bo‘lgani sababli erta tashxis qo‘yish qiyinchilik tug‘diradi. So‘nggi yillarda olib borilgan tadqiqotlar GBS patogenezida immunologik mexanizmlar yetakchi o‘rin tutishini ko‘rsatib, immunologik markerlarning erta diagnostika va davolash taktikasini belgilashdagi ahamiyatini oshirdi.GBS ko‘pincha oldindan kechgan infeksiyalardan so‘ng molekulyar mimikriya mexanizmi orqali rivojlanadi.(3-5) Bu jarayonda periferik nerv tolalari komponentlariga, ayniqsa gangliozidlarga qarshi autoantitanachalar ishlab chiqiladi. Anti-GM1, anti-GD1a, anti-GD1b va anti-GQ1b kabi anti-gangliozid antitanachalar GBSning ayrim klinik shakllari bilan chambarchas bog‘liq bo‘lib, kasallik og‘irligini va kechishini baholashda muhim ahamiyatga ega. Shuningdek, TNF-α, IL-6 va IL-17 kabi yallig‘lanish sitokinlarining oshishi hamda komplement tizimi faollashuvi nerv tolalari shikastlanishining immunologik asosini aks ettiradi.Immunologik markerlarni aniqlash GBSni erta tashxislash, uning klinik variantlarini farqlash va individual davolash usullarini tanlash imkonini beradi.(7-9)Immunologik korreksiyalashda vena ichiga immunoglobulin (IVIG) yuborish va plazmaferez asosiy davolash usullari bo‘lib, ular patogen autoantitanachalarni kamaytirish va immun yallig‘lanishni bostirishga qaratilgan.Mazkur sharhda Guillain–Barré sindromini erta aniqlash va korreksiyalashda immunologik markerlarning o‘rni yoritilib, shaxsiylashtirilgan davolash strategiyalarini ishlab chiqishdagi ahamiyati ta’kidlanadi
DOI: 10.5281/zenodo.18411073
title: Farm Calendar Data from Pilot 3 – Site 1 (Eastern Macedonia and Thrace, Greece), 2023

description: This dataset contains farm calendar data collected from Site 1 of Pilot 3, located in Eastern Macedonia and Thrace (Kavala area), through the gaiasense smart farming system. It includes structured information on agricultural practices and resource use to support farm monitoring and decision-making. The dataset covers the period from 1 January 2023 to 31 December 2023.The Excel file comprises six sheets covering: Area (cultivated area, type of production, and total olive production in 2023), Irrigation (irrigation practices), Plant Protection, Fertiliser application, Energy consumption, and Waste management.

Geographic coverage: Eastern Macedonia and Thrace, Greece (Kavala area)Temporal coverage: 2023-01-01 to 2023-12-31Data source: gaiasense smart farming system, scientific literature
DOI: 10.5281/zenodo.18411074
title: Farm Calendar Data from Pilot 3 – Site 1 (Eastern Macedonia and Thrace, Greece), 2023

description: This dataset contains farm calendar data collected from Site 1 of Pilot 3, located in Eastern Macedonia and Thrace (Kavala area), through the gaiasense smart farming system. It includes structured information on agricultural practices and resource use to support farm monitoring and decision-making. The dataset covers the period from 1 January 2023 to 31 December 2023.The Excel file comprises six sheets covering: Area (cultivated area, type of production, and total olive production in 2023), Irrigation (irrigation practices), Plant Protection, Fertiliser application, Energy consumption, and Waste management.

Geographic coverage: Eastern Macedonia and Thrace, Greece (Kavala area)Temporal coverage: 2023-01-01 to 2023-12-31Data source: gaiasense smart farming system, scientific literature
DOI: 10.15468/dl.k584qa
title: Occurrence Download

description: A dataset containing 378 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Dactylaena microphylla",
 "HasCoordinate is true",
 "BasisOfRecord is one of (Specimen)"
 ]
}

 The dataset includes 378 records from 50 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002192-260129131611470/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.18431044
title: Test
DOI: 10.15468/dl.trqexr
title: Occurrence Download

description: A dataset containing 305 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Tetramerium hispidum"
 ]
}

 The dataset includes 305 records from 67 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002193-260129131611470/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.18433010
title: THEORETICAL FOUNDATIONS AND HISTORICAL DEVELOPMENT OF THE INTEGRATIVE APPROACH IN TEACHING NATURAL SCIENCES IN PRIMARY EDUCATION

description: This article provides an in-depth analysis of the theoretical foundations of the integrative approach in teaching natural sciences at the primary education level and its historical development within Uzbek pedagogy. Drawing on the IMRAD structure, the study relies on the scientific works of Uzbek scholars published since 2020. It examines interdisciplinary connections, STEAM integration, transdisciplinary approaches, and cognitive theories as mechanisms for developing children’s understanding of nature and ecological competencies. The research findings demonstrate that integrative methods significantly enhance education quality within the framework of Uzbekistan’s education reforms (2020–2030), while strengthening students’ cognitive and creative potential. The article holds both theoretical and practical value for master’s-level research in pedagogy theory and history, and offers recommendations for the effective implementation of the integrative approach in Uzbekistan’s education system.
DOI: 10.5281/zenodo.18433009
title: THEORETICAL FOUNDATIONS AND HISTORICAL DEVELOPMENT OF THE INTEGRATIVE APPROACH IN TEACHING NATURAL SCIENCES IN PRIMARY EDUCATION

description: This article provides an in-depth analysis of the theoretical foundations of the integrative approach in teaching natural sciences at the primary education level and its historical development within Uzbek pedagogy. Drawing on the IMRAD structure, the study relies on the scientific works of Uzbek scholars published since 2020. It examines interdisciplinary connections, STEAM integration, transdisciplinary approaches, and cognitive theories as mechanisms for developing children’s understanding of nature and ecological competencies. The research findings demonstrate that integrative methods significantly enhance education quality within the framework of Uzbekistan’s education reforms (2020–2030), while strengthening students’ cognitive and creative potential. The article holds both theoretical and practical value for master’s-level research in pedagogy theory and history, and offers recommendations for the effective implementation of the integrative approach in Uzbekistan’s education system.
DOI: 10.5281/zenodo.18411164
title: Farm Calendar Data from Pilot 3 – Site 1 (Eastern Macedonia and Thrace, Greece), 2024

description: This dataset contains farm calendar data collected from Site 1 of Pilot 3, located in Eastern Macedonia and Thrace (Kavala area), through the gaiasense smart farming system. It includes structured information on agricultural practices and resource use to support farm monitoring and decision-making. The dataset covers the period from 1 January 2024 to 31 December 2024.The Excel file comprises six sheets covering: Area (cultivated area, type of production, and total olive production in 2024), Irrigation (irrigation practices), Plant Protection, Fertiliser application, Energy consumption, and Waste management.

Geographic coverage: Eastern Macedonia and Thrace, Greece (Kavala area)Temporal coverage: 2024-01-01 to 2024-12-31Data source: gaiasense smart farming system, scientific literature
DOI: 10.5281/zenodo.18411165
title: Farm Calendar Data from Pilot 3 – Site 1 (Eastern Macedonia and Thrace, Greece), 2024

description: This dataset contains farm calendar data collected from Site 1 of Pilot 3, located in Eastern Macedonia and Thrace (Kavala area), through the gaiasense smart farming system. It includes structured information on agricultural practices and resource use to support farm monitoring and decision-making. The dataset covers the period from 1 January 2024 to 31 December 2024.The Excel file comprises six sheets covering: Area (cultivated area, type of production, and total olive production in 2024), Irrigation (irrigation practices), Plant Protection, Fertiliser application, Energy consumption, and Waste management.

Geographic coverage: Eastern Macedonia and Thrace, Greece (Kavala area)Temporal coverage: 2024-01-01 to 2024-12-31Data source: gaiasense smart farming system, scientific literature
DOI: 10.15468/dl.rcg453
title: Occurrence Download

description: A dataset containing 114 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((-87.02881 34.33374,-83.15229 34.68157,-83.52181 36.45526,-86.84502 36.04917,-87.02881 34.33374))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Percina tanasi"
 ]
}

 The dataset includes 114 records from 17 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002194-260129131611470/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.d2r6fd
title: Occurrence Download

description: A dataset containing 47 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((-81.12912 32.71841,-74.83076 32.71841,-74.83076 35.23668,-81.12912 35.23668,-81.12912 32.71841))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Pseudacris ornata"
 ]
}

 The dataset includes 47 records from 10 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002195-260129131611470/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.kxaszj
title: Occurrence Download

description: A dataset containing 106 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Podandrogyne mathewsii",
 "HasCoordinate is true",
 "BasisOfRecord is one of (Specimen)"
 ]
}

 The dataset includes 106 records from 7 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002196-260129131611470/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.semsy4
title: Occurrence Download

description: A dataset containing 173513 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Andrena",
 "MediaType is Image",
 "BasisOfRecord is one of (Specimen, Human Observation)",
 "OccurrenceStatus is one of (Present)",
 "Year is greater than or equal to 1950",
 {
 "not" : {
 "DatasetKey" : [
 "is Snow Entomological Museum Collection"
 ]
 }
 },
 {
 "not" : {
 "PublishingOrg" : [
 "is bb646dff-a905-4403-a49b-6d378c2cf0d9"
 ]
 }
 }
 ]
}

 The dataset includes 173513 records from 63 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002146-260129131611470/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.18433067
title: ESTRADA SAN'ATINING MILLIY O'ZLIKNI SAQLASHDAGI O'RNI

description: Ushbu maqolada globallashuv jarayonlari sharoitida estrada san’atining milliy o‘zlikni saqlash va mustahkamlashdagi o‘rni ilmiy-nazariy jihatdan tahlil qilinadi. Estrada san’atida milliy folklor, maqom va xalqona kuy elementlarini zamonaviy janrlarga uyg‘unlashtirish orqali milliy musiqani global maydonda raqobatbardosh saqlash yo‘llari ko‘rib chiqilgan.
DOI: 10.5281/zenodo.18433066
title: ESTRADA SAN'ATINING MILLIY O'ZLIKNI SAQLASHDAGI O'RNI

description: Ushbu maqolada globallashuv jarayonlari sharoitida estrada san’atining milliy o‘zlikni saqlash va mustahkamlashdagi o‘rni ilmiy-nazariy jihatdan tahlil qilinadi. Estrada san’atida milliy folklor, maqom va xalqona kuy elementlarini zamonaviy janrlarga uyg‘unlashtirish orqali milliy musiqani global maydonda raqobatbardosh saqlash yo‘llari ko‘rib chiqilgan.
DOI: 10.15468/dl.pg8yd3
title: Occurrence Download

description: A dataset containing 451 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Sylvilagus obscurus"
 ]
}

 The dataset includes 451 records from 12 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002197-260129131611470/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25574/26967
title: Chandra X-ray Observatory ObsId 26967

description: The Beat Goes On
DOI: 10.5281/zenodo.18432451
title: Ki based interaction

description: Ki System save
DOI: 10.5281/zenodo.18432452
title: Ki based interaction

description: Ki System save
DOI: 10.5281/zenodo.18160631
title: Dataset for the publication "A Water Analysis Trailer for Environmental Research (WATER)"

description: Data and Python scripts used for Figures 4-6 and associated analysis in the publication: "A Water Analysis Trailer for Environmental Research"

 

Structure

Folder: analysis_scripts

subsampling_water_percentile_step_fd.py -> for sub-sampling the data based on different sampling scenarios, generating histograms (Fig 6), and summarising the data for each scenario. 

water_paper_data_plot.py -> for creating the data figures (Fig 4 and Fig 5) and generating summary statistics.

Folder: discharge

discharge_ls_176_10min_infill.csv -> stream discharge at the outlet of the Schwingbach at 10 minute resolution. 

Folder: rainfall

precipitation_pluvio178_mm10min_infill.csv -> 10 minute rainfall totals Pluivo rainfall sampler.

Folder: sub-samples-hist

Created by /analysis_scripts/subsampling_water_percentile_step_fd.py

In all files, water quality parameters are labelled 0 (stable water isotopes), 1 (nitrate), 2 (electrical conductivity). 

Sub-folders (Base, Daily, S1) contain .csv for each source containing the retained samples for each sub-sampling scenario. For Daily, missing days have been infilled with NaN. For other scenarios, no infilling of data takes place.

changes_focused.xlsx -> summarises the changes in parameter summary statistics for the focused period.

hist_bins_density_all_new_n.csv -> for each source (n), the histogram bins from the baseline scenario and the probability densities in each bin for all scenarios. Also given are summary statistics for each parameter for all scenarios and the differences in summary statistics for alternative sampling strategies relative to the baseline. 

hist_bins_density_focused_new_n.csv -> as above, but based on the focused period of analysis. 

sampling_sequence.csv -> the sequence of samples successfully taken by the WATER. 

Folder: summaries

summary_overview_plot_final.csv -> created by /analysis_scripts/water_paper_data_plot.py and contains summary statistics of hydrometric, water quality and isotope data collected at each site.

summary_focussed_plot_final.csv -> as above but based on a focussed period of analysis.

Folder: test

This is where output would be generated by running the scripts in the analysis_scripts folders

Folder: trailer

Site ids -> 176 = SW1, 259 = SW2, 125 = GW1, 234 = GW2, 195 = GW3.

water_quality_n_adv1hr.csv -> stable water isotope, nitrate and electrical conductivity data collected by the WATER at each non-precipitation site.

water_quality_258_adv1hr_filtered.csv -> stable water isotope, nitrate and electrical conductivity data for precipitation.
DOI: 10.5281/zenodo.18160630
title: Dataset for the publication "A Water Analysis Trailer for Environmental Research (WATER)"

description: Data and Python scripts used for Figures 4-6 and associated analysis in the publication: "A Water Analysis Trailer for Environmental Research"

 

Structure

Folder: analysis_scripts

subsampling_water_percentile_step_fd.py -> for sub-sampling the data based on different sampling scenarios, generating histograms (Fig 6), and summarising the data for each scenario. 

water_paper_data_plot.py -> for creating the data figures (Fig 4 and Fig 5) and generating summary statistics.

Folder: discharge

discharge_ls_176_10min_infill.csv -> stream discharge at the outlet of the Schwingbach at 10 minute resolution. 

Folder: rainfall

precipitation_pluvio178_mm10min_infill.csv -> 10 minute rainfall totals Pluivo rainfall sampler.

Folder: sub-samples-hist

Created by /analysis_scripts/subsampling_water_percentile_step_fd.py

In all files, water quality parameters are labelled 0 (stable water isotopes), 1 (nitrate), 2 (electrical conductivity). 

Sub-folders (Base, Daily, S1) contain .csv for each source containing the retained samples for each sub-sampling scenario. For Daily, missing days have been infilled with NaN. For other scenarios, no infilling of data takes place.

changes_focused.xlsx -> summarises the changes in parameter summary statistics for the focused period.

hist_bins_density_all_new_n.csv -> for each source (n), the histogram bins from the baseline scenario and the probability densities in each bin for all scenarios. Also given are summary statistics for each parameter for all scenarios and the differences in summary statistics for alternative sampling strategies relative to the baseline. 

hist_bins_density_focused_new_n.csv -> as above, but based on the focused period of analysis. 

sampling_sequence.csv -> the sequence of samples successfully taken by the WATER. 

Folder: summaries

summary_overview_plot_final.csv -> created by /analysis_scripts/water_paper_data_plot.py and contains summary statistics of hydrometric, water quality and isotope data collected at each site.

summary_focussed_plot_final.csv -> as above but based on a focussed period of analysis.

Folder: test

This is where output would be generated by running the scripts in the analysis_scripts folders

Folder: trailer

Site ids -> 176 = SW1, 259 = SW2, 125 = GW1, 234 = GW2, 195 = GW3.

water_quality_n_adv1hr.csv -> stable water isotope, nitrate and electrical conductivity data collected by the WATER at each non-precipitation site.

water_quality_258_adv1hr_filtered.csv -> stable water isotope, nitrate and electrical conductivity data for precipitation.