cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.28911410
title: Evaluating <i>Cryptosporidium</i> Oocyst Removal in SSF: Impact of Underwater Skimming and Dry Skimming

description: Data for Evaluating <i>Cryptosporidium</i> Oocyst Removal in SSF: Impact of Underwater Skimming and Dry Skimming<br><i>Cryptosporidium</i> is a protozoan parasite that presents significant challenges to water supply security due to its resilience against conventional chemical disinfection. This study evaluates the effectiveness of two slow sand filter (SSF) skimming techniques—dry skimming (DS) and underwater skimming (UWS)—in removing <i>Cryptosporidium</i> oocysts under pilot-scale conditions using 10 filters. Oocyst retention was monitored during dosing, post-dosing, and following each skimming event. Results demonstrated that UWS achieved superior pathogen removal, evidenced by fewer oocyst breakthroughs and higher cumulative log retention values (LRVs). During dosing, UWS filters attained LRVs consistently exceeding 6.6, whereas DS filters averaged 5.6. In the post-dosing period, UWS retained LRVs above 6.9, while DS averaged 5.9. A quantitative microbial risk assessment (QMRA) indicated a substantially lower probability of illness from oocyst breakthrough in UWS-treated water, with a daily risk of ~2.6 × 10⁻⁶ for immunocompetent individuals, compared to up to 8.2 × 10⁻⁶ in DS-treated water—equating to a 3.2-fold risk reduction. These findings highlight that the UWS maintenance technique enhances SSF operation by improving pathogen retention while enabling minimal filter downtime, thereby contributing to improved water safety and public health protection. The work also provides novel empirical data and theoretical predictions regarding the potential risk of <i>Cryptosporidium</i> penetration or compromised water quality arising from the routine requirement to skim SSFs.
DOI: 10.6084/m9.figshare.28911410.v2
title: Evaluating <i>Cryptosporidium</i> Oocyst Removal in SSF: Impact of Underwater Skimming and Dry Skimming

description: Data for Evaluating <i>Cryptosporidium</i> Oocyst Removal in SSF: Impact of Underwater Skimming and Dry Skimming<br><i>Cryptosporidium</i> is a protozoan parasite that presents significant challenges to water supply security due to its resilience against conventional chemical disinfection. This study evaluates the effectiveness of two slow sand filter (SSF) skimming techniques—dry skimming (DS) and underwater skimming (UWS)—in removing <i>Cryptosporidium</i> oocysts under pilot-scale conditions using 10 filters. Oocyst retention was monitored during dosing, post-dosing, and following each skimming event. Results demonstrated that UWS achieved superior pathogen removal, evidenced by fewer oocyst breakthroughs and higher cumulative log retention values (LRVs). During dosing, UWS filters attained LRVs consistently exceeding 6.6, whereas DS filters averaged 5.6. In the post-dosing period, UWS retained LRVs above 6.9, while DS averaged 5.9. A quantitative microbial risk assessment (QMRA) indicated a substantially lower probability of illness from oocyst breakthrough in UWS-treated water, with a daily risk of ~2.6 × 10⁻⁶ for immunocompetent individuals, compared to up to 8.2 × 10⁻⁶ in DS-treated water—equating to a 3.2-fold risk reduction. These findings highlight that the UWS maintenance technique enhances SSF operation by improving pathogen retention while enabling minimal filter downtime, thereby contributing to improved water safety and public health protection. The work also provides novel empirical data and theoretical predictions regarding the potential risk of <i>Cryptosporidium</i> penetration or compromised water quality arising from the routine requirement to skim SSFs.
DOI: 10.6084/m9.figshare.28911410.v1
title: Evaluating <i>Cryptosporidium</i> Oocyst Removal in SSF: Impact of Underwater Skimming and Dry Skimming

description: Data for Evaluating <i>Cryptosporidium</i> Oocyst Removal in SSF: Impact of Underwater Skimming and Dry Skimming<br><i>Cryptosporidium</i> is a protozoan parasite that presents significant challenges to water supply security due to its resilience against conventional chemical disinfection. This study evaluates the effectiveness of two slow sand filter (SSF) skimming techniques—dry skimming (DS) and underwater skimming (UWS)—in removing <i>Cryptosporidium</i> oocysts under pilot-scale conditions using 10 filters. Oocyst retention was monitored during dosing, post-dosing, and following each skimming event. Results demonstrated that UWS achieved superior pathogen removal, evidenced by fewer oocyst breakthroughs and higher cumulative log retention values (LRVs). During dosing, UWS filters attained LRVs consistently exceeding 6.6, whereas DS filters averaged 5.6. In the post-dosing period, UWS retained LRVs above 6.9, while DS averaged 5.9. A quantitative microbial risk assessment (QMRA) indicated a substantially lower probability of illness from oocyst breakthrough in UWS-treated water, with a daily risk of ~2.6 × 10⁻⁶ for immunocompetent individuals, compared to up to 8.2 × 10⁻⁶ in DS-treated water—equating to a 3.2-fold risk reduction. These findings highlight that the UWS maintenance technique enhances SSF operation by improving pathogen retention while enabling minimal filter downtime, thereby contributing to improved water safety and public health protection. The work also provides novel empirical data and theoretical predictions regarding the potential risk of <i>Cryptosporidium</i> penetration or compromised water quality arising from the routine requirement to skim SSFs.
DOI: 10.15468/dl.dv2gbh
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{"type":"and","predicates":[{"type":"within","geometry":"POLYGON ((111.931 2.918175, 111.860647 2.912606, 111.792028 2.896036, 111.726834 2.868874, 111.666673 2.83179, 111.613026 2.785696, 111.567214 2.73173, 111.530366 2.671221, 111.503387 2.60566, 111.48694 2.536661, 111.481429 2.465924, 111.486987 2.39519, 111.503476 2.326202, 111.530489 2.260657, 111.567359 2.200169, 111.613178 2.146226, 111.666817 2.100156, 111.726957 2.063092, 111.792117 2.035947, 111.860694 2.019388, 111.931 2.013822, 112.001306 2.019388, 112.069883 2.035947, 112.135043 2.063092, 112.195183 2.100156, 112.248822 2.146226, 112.294641 2.200169, 112.331511 2.260657, 112.358524 2.326202, 112.375013 2.39519, 112.380571 2.465924, 112.37506 2.536661, 112.358613 2.60566, 112.331634 2.671221, 112.294786 2.73173, 112.248974 2.785696, 112.195327 2.83179, 112.135166 2.868874, 112.069972 2.896036, 112.001353 2.912606, 111.931 2.918175))"},{"type":"equals","key":"CLASS_KEY","value":"212","matchCase":false},{"type":"greaterThanOrEquals","key":"YEAR","value":"2015","matchCase":false},{"type":"not","predicate":{"type":"in","key":"BASIS_OF_RECORD","values":["MATERIAL_CITATION","MATERIAL_SAMPLE","PRESERVED_SPECIMEN"],"matchCase":false}},{"type":"lessThanOrEquals","key":"COORDINATE_UNCERTAINTY_IN_METERS","value":"10000","matchCase":false},{"type":"equals","key":"LICENSE","value":"CC BY 4.0","matchCase":false}]}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0044622-251120083545085/datasets/export for details.
DOI: 10.15468/dl.j4qab9
title: Occurrence Download

description: A dataset containing 21188 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Australia",
 "TaxonKey is Dysphania"
 ]
}

 The dataset includes 21188 records from 99 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0044620-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.xha9su
title: Occurrence Download

description: A dataset containing 504428 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is one of (Human Observation, Specimen)",
 "CoordinateUncertaintyInMeters is less than or equal to 500.0",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Tracheophyta",
 "Year 1950-1960"
 ]
}

 The dataset includes 504428 records from 489 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0044598-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.48320/ae651294-389d-441c-adfe-b9754702b4e1
title: ISFED Survey on election-related processes in Georgia, 2021
DOI: 10.5281/zenodo.17879564
title: ISFED Survey on election-related processes in Georgia, 2021

description: The main objective of this research was to study the attitudes of Georgian population towards election-related processes. The survey examined people's attitudes towards participation in elections, as well as the assessment of the pre-election processes and violations.

Population: Adult population (18 years old and over), excluding the populations living in territories affected by military conflict (South Ossetia and Abkhazia). Besides nationwide, data is representative of Tbilisi, urban and rural areas of Georgia.

Sample Design: Simple random sampling using random-digit-dial method.

Sample Size: 3,100 respondents.

Response rate: 20%

Survey mode: Computer-assisted telephone interview (CATI).

Interview languages: Georgian, Armenian, Azerbaijani and Russian.

Fieldwork Dates: August 13, 2021 to September 4, 2021.

Results are weighted.
description: Published on Discuss Data, https://discuss-data.net/dataset/ae651294-389d-441c-adfe-b9754702b4e1/
Dataset creation: 2021
description: Method(s) of data collection: Quantitative Survey
DOI: 10.5281/zenodo.17879565
title: ISFED Survey on election-related processes in Georgia, 2021

description: The main objective of this research was to study the attitudes of Georgian population towards election-related processes. The survey examined people's attitudes towards participation in elections, as well as the assessment of the pre-election processes and violations.

Population: Adult population (18 years old and over), excluding the populations living in territories affected by military conflict (South Ossetia and Abkhazia). Besides nationwide, data is representative of Tbilisi, urban and rural areas of Georgia.

Sample Design: Simple random sampling using random-digit-dial method.

Sample Size: 3,100 respondents.

Response rate: 20%

Survey mode: Computer-assisted telephone interview (CATI).

Interview languages: Georgian, Armenian, Azerbaijani and Russian.

Fieldwork Dates: August 13, 2021 to September 4, 2021.

Results are weighted.
description: Published on Discuss Data, https://discuss-data.net/dataset/ae651294-389d-441c-adfe-b9754702b4e1/
Dataset creation: 2021
description: Method(s) of data collection: Quantitative Survey
DOI: 10.48544/981ecba5-457d-47f1-ace2-a9149ff882b5
title: Nabije Stad Almere Buiten
DOI: 10.24435/materialscloud:ef-hy
title: Modeling the equilibrium vacancy concentration in multi-principal element alloys from first-principles

description: This dataset contains a list of ComputedStructureEntry objects used to parameterize an embedded cluster expansion in the paper https://doi.org/10.1016/j.actamat.2025.121752. We used this model to predict finite-temperature vacancy concentrations in 9-component refractory alloys (Ti-Zr-Hf-V-Nb-Ta-Cr-Mo-W). The symmetrically distinct orderings of group 5 and 6 elements in small cells correspond to calculations reported in https://doi.org/10.1038/s41524-025-01543-3.
DOI: 10.24435/materialscloud:xn-j1
title: Modeling the equilibrium vacancy concentration in multi-principal element alloys from first-principles

description: This dataset contains a list of ComputedStructureEntry objects used to parameterize an embedded cluster expansion in the paper https://doi.org/10.1016/j.actamat.2025.121752. We used this model to predict finite-temperature vacancy concentrations in 9-component refractory alloys (Ti-Zr-Hf-V-Nb-Ta-Cr-Mo-W). The symmetrically distinct orderings of group 5 and 6 elements in small cells correspond to calculations reported in https://doi.org/10.1038/s41524-025-01543-3.
DOI: 10.15468/dl.hw9ces
title: Occurrence Download

description: A dataset containing 256 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Salvatoria limbata",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 256 records from 53 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0044624-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.4121/6672119c-3a05-4969-9f9e-6775db634446
title: Software and MATLAB code underlying the PhD thesis “Orchestrating Distributed Energy Resources to Provide Power System Ancillary Services”

description: This dataset contains MATLAB code that underpins the numerical results presented in the PhD thesis “Orchestrating Distributed Energy Resources to Provide Power System Ancillary Services” (Delft University of Technology).The code implements: – Chapter 2: distributed game-theoretic learning for Fast Frequency Response (FFR) in a Dynamic Virtual Power Plant (DVPP); – Chapter 3: scalable latency-aware DVPP coordination via dual decomposition; – Chapter 4: nudging-based ancillary service provision for prosumers.All results are obtained from simulations; no external or personal data are included. The main entry points and dependencies are documented in the accompanying README file.
DOI: 10.4121/6672119c-3a05-4969-9f9e-6775db634446.v1
title: Software and MATLAB code underlying the PhD thesis “Orchestrating Distributed Energy Resources to Provide Power System Ancillary Services”

description: This dataset contains MATLAB code that underpins the numerical results presented in the PhD thesis “Orchestrating Distributed Energy Resources to Provide Power System Ancillary Services” (Delft University of Technology).The code implements: – Chapter 2: distributed game-theoretic learning for Fast Frequency Response (FFR) in a Dynamic Virtual Power Plant (DVPP); – Chapter 3: scalable latency-aware DVPP coordination via dual decomposition; – Chapter 4: nudging-based ancillary service provision for prosumers.All results are obtained from simulations; no external or personal data are included. The main entry points and dependencies are documented in the accompanying README file.
DOI: 10.15468/dl.khc4uk
title: Occurrence Download

description: A dataset containing 2094533 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is one of (China, Chinese Taipei, Hong Kong, Macao)",
 "OccurrenceStatus is Present",
 "TaxonKey is Plantae",
 "Year 1995-2025"
 ]
}

 The dataset includes 2094533 records from 831 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001799-250415084134356/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25549/pcra-c14-46124
title: Redemption tidings, vol. 16, nos. 1-26, 1 Jan. - 13 Dec. 1940

description: [description english/roman)] Issued fortnightly (every two weeks). "A full gospel magazine for all believers" -- subtitle. Includes Tidings from our missionaries in each issue (1 Jan. - 13 Dec. 1940).
DOI: 10.15468/dl.pkvpav
title: Occurrence Download

description: A dataset listing the 32192 species recorded in GBIF matching the query:
{
 "and" : [
 "Country is Germany",
 "OccurrenceStatus is Present",
 "TaxonKey is Tracheophyta"
 ]
}

 The dataset's 32192 records were derived from 1448 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0167632-220831081235567/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ktaohh
title: Occurrence Download

description: A dataset containing 2 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "TaxonKey is Strophopappus emarginatus (Gardner) R.Esteves",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 2 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0037516-180508205500799/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.s89fve
title: Occurrence Download

description: A dataset containing 19197 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Colutea arborescens L.",
 "Year is greater than or equal to 1900",
 "HasCoordinate is true"
 ]
}

 The dataset includes 19197 records from 402 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0020718-240321170329656/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.27kef7
title: Occurrence Download

description: A dataset containing 953 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is Occurrence of bees along grazing and agricultural gradients in Northern Tanzania"
 ]
}

 The dataset includes 953 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0237004-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.o97prx
title: Occurrence Download

description: A dataset containing 3 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "TaxonKey is Strophopappus ferrugineus (Baker) R.Esteves",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 3 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0037517-180508205500799/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.jx2t9f
title: Occurrence Download

description: A dataset containing 416 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Hieracium eximium Backh.fil."
 ]
}

 The dataset includes 416 records from 24 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0020752-240321170329656/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.2w9h93
title: Occurrence Download

description: A dataset containing 1 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Burmeistera fruticosa E.Wimm."
 ]
}

 The dataset includes 1 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0147760-240321170329656/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.w29q7x
title: Occurrence Download

description: A dataset containing 4345 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Norway",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Lemmus lemmus (Linnaeus, 1758)"
 ]
}

 The dataset includes 4345 records from 19 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0237007-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.zagzwu
title: Occurrence Download

description: A dataset containing 407 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Crinum ornatum (Aiton) Herb."
 ]
}

 The dataset includes 407 records from 32 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0037517-181108115102211/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.vgnd9z
title: Occurrence Download

description: A dataset containing 1 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Hieracium excubitum Elfstr."
 ]
}

 The dataset includes 1 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0020741-240321170329656/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.fgo8gy
title: Occurrence Download

description: A dataset containing 110 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Crinum purpurascens Herb."
 ]
}

 The dataset includes 110 records from 16 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0037519-181108115102211/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.zgcksk
title: Occurrence Download

description: A dataset containing 101 species occurrences available in GBIF matching the query:
{
 "and" : [
 "DatasetKey is UK Roadkill Records",
 "Month is February",
 "TaxonKey is Meles meles (Linnaeus, 1758)",
 "Year 2015-2015"
 ]
}

 The dataset includes 101 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0242697-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.w3rwj5
title: Occurrence Download

description: A dataset containing 16 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Aristolochia pyriflora Lombardi & D.Frank"
 ]
}

 The dataset includes 16 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0147761-240321170329656/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.h7a8np
title: Occurrence Download

description: A dataset containing 1017 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Hemarthria compressa (L.f.) R.Br."
 ]
}

 The dataset includes 1017 records from 78 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0020772-240321170329656/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.nusmnu
title: Occurrence Download

description: A dataset containing 562 species occurrences available in GBIF matching the query:
{
 "and" : [
 "CoordinateUncertaintyInMeters 0.0-100.0",
 {
 "or" : [
 "Country is Austria",
 "Country is France",
 "Country is Czechia",
 "Country is Switzerland",
 "Country is Germany",
 "Country is Belgium",
 "Country is Luxembourg",
 "Country is Poland",
 "Country is Netherlands"
 ]
 },
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Cardamine amara L.",
 "Year 2015-2021"
 ]
}

 The dataset includes 562 records from 14 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0194039-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ufzwjr
title: Occurrence Download

description: A dataset containing 7 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Cryptanthus reptans Leme & J.A.Siqueira"
 ]
}

 The dataset includes 7 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0037516-160910150852091/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.