cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.3535/0jz-bs9-dg3
title: Raja

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/xlt-t9j-sjy
title: †Hemipneustes striatoradiatus (Leske, 1778)

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.17632/g9gh68s5jt
title: Collection of building geometry measurements for 2D/3D modeling and anomaly detection using high-precision laser ranging

description: The presented dataset comprises eight tabulated measurement records corresponding to distinct height levels, acquired for the purpose of reconstructing a detailed cross-sectional model of a university building corridor.
For each height level, measurements represent the perpendicular distances from the central longitudinal axis of the corridor to the left and right structural boundaries, thereby enabling precise geometric profiling and the identification of potential structural anomalies.
Reference control measurements were obtained using a high-precision laser range finder (HAUPTSON 70/100M, model OZ045), ensuring metrological accuracy. Data acquisition was conducted at regular spatial intervals along the corridor’s longitudinal axis to capture structural variability with high fidelity.
The dataset schema includes unique point identifiers, longitudinal coordinates, distances to left and right boundaries, reference measurements, and computed deviations. Owing to its precision and spatial resolution, the dataset is suitable for diverse analytical applications, including two- and three-dimensional corridor modeling, structural integrity assessment, anomaly detection, and the development of indoor navigation and mapping systems.
DOI: 10.3535/76v-tct-xj7
title: Cetacea Brisson, 1762

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/c0v-1vq-znh
title: Mammalia Linnaeus, 1758

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/rbm-217-rf0
title: †Palorbitolina lenticularis (Blumenbach, 1805)

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.17632/g9gh68s5jt.1
title: Collection of building geometry measurements for 2D/3D modeling and anomaly detection using high-precision laser ranging

description: The presented dataset comprises eight tabulated measurement records corresponding to distinct height levels, acquired for the purpose of reconstructing a detailed cross-sectional model of a university building corridor.
For each height level, measurements represent the perpendicular distances from the central longitudinal axis of the corridor to the left and right structural boundaries, thereby enabling precise geometric profiling and the identification of potential structural anomalies.
Reference control measurements were obtained using a high-precision laser range finder (HAUPTSON 70/100M, model OZ045), ensuring metrological accuracy. Data acquisition was conducted at regular spatial intervals along the corridor’s longitudinal axis to capture structural variability with high fidelity.
The dataset schema includes unique point identifiers, longitudinal coordinates, distances to left and right boundaries, reference measurements, and computed deviations. Owing to its precision and spatial resolution, the dataset is suitable for diverse analytical applications, including two- and three-dimensional corridor modeling, structural integrity assessment, anomaly detection, and the development of indoor navigation and mapping systems.
DOI: 10.3535/4c4-rv9-l3p
title: Equus (Equus) caballus Linnaeus, 1758

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/580-brz-mcz
title: †Palorbitolina lenticularis (Blumenbach, 1805)

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/rvk-nxk-wpx
title: Bos taurus Linnaeus, 1758

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/vs0-891-g72
title: Bos taurus Linnaeus, 1758

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/tv8-zl2-exj
title: Cnidaria

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/vwa-h3c-lpf
title: Bos taurus Linnaeus, 1758

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/ecy-s73-2pg
title: Animalia

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/k4a-7be-rtk
title: Cnidaria

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/gza-f79-rc4
title: Echinodermata

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.6073/pasta/c441488904192629e04b324d8d646ff4
title: IISD Experimental Lakes Area: Atmospheric Conditions

description: The IISD Experimental Lakes Area (IELA) Atmospheric Conditions data package contains multiple datasets—some dating back to 1969—all collected at the IISD‑ELA meteorological station in northwestern Ontario, Canada (49°39′51″ N, 93°43′58″ W). The datasets are: air temperature - daily min and max, air temperature - hourly means, humidity (hourly), wind speed and direction (hourly), and solar photosynthetically active radiation (PAR).
 
 It should be noted that we have additional datasets from the meteorological site in the separate "Precipitation and Evaporation" data package (EDI Package ID 2262). The IISD-ELA meteorological site is also home to Environment and Climate Change Canada instruments collecting a variety of parameters, including as part of the CAPMoN (Canadian Air and Precipitation Monitoring Network). Those datasets can be found on the Canadian government website, with the station named as "Experimental Lakes Area" or "Rawson Lake".
 
 Each of the datasets in this package are included as separate CSV files. In the tables, each row represents a date or time range with corresponding parameter values (e.g. temperature, wind speed, etc.) and additional metadata codes and description (for example, gear or sample methods, which may change over time).
 
 Metadata files in this package are a summary table and several info sheets. The summary table presents an overview of the datasets, summarizing date ranges, number of records, and corresponding info sheets. The info sheets provide additional metadata details about the datasets, including background and uses of the datasets, data dictionaries (meanings of columns in the tables), photos or diagrams, any lookup tables, descriptions of methods, and additional references.
 
 This data package is ongoing — updates will be provided on a regular basis as newer data records are collected and additional datasets are ready to be added. Please don't hesitate to get in touch with us if you are looking for additional data or have any questions about these datasets. We also appreciate hearing about when and where our datasets are used.
DOI: 10.5281/zenodo.18777353
title: asap-raw-team-indipd-ipsc-lr-wgs-kolf21j-wt

description: This Zenodo deposit contains a publicly available description of the Dataset:

Title: "asap-raw-team-indipd-ipsc-lr-wgs-kolf21j-wt".

Description: This dataset includes the diploid assembly (.fa) and annotations (.gff3) for the KOLF2.1J assembly.   Additionally, we also have R9 ultra-long ONT data from iPSC as well as R9 30kb ONT data for iPSC, cortical neurons, NGN2-derived neurons, microglia, and 2 types of astrocytes. All these files have methylation tags on them for epigenetic analyses.   We also have PacBio HiFi IPSC data with methylation tags.





This dataset is made available to researchers via the ASAP CRN Cloud: cloud.parkinsonsroadmap.org. Instructions for how to request access can be found in the User Manual.

This research was funded by the Aligning Science Across Parkinson's Collaborative Research Network (ASAP CRN), through the Michael J. Fox Foundation for Parkinson's Research (MJFF).

This Zenodo deposit was created by the ASAP CRN Cloud staff on behalf of the dataset authors. It provides a citable reference for a CRN Cloud Dataset
DOI: 10.5281/zenodo.18777354
title: asap-raw-team-indipd-ipsc-lr-wgs-kolf21j-wt

description: This Zenodo deposit contains a publicly available description of the Dataset:

Title: "asap-raw-team-indipd-ipsc-lr-wgs-kolf21j-wt".

Description: This dataset includes the diploid assembly (.fa) and annotations (.gff3) for the KOLF2.1J assembly.   Additionally, we also have R9 ultra-long ONT data from iPSC as well as R9 30kb ONT data for iPSC, cortical neurons, NGN2-derived neurons, microglia, and 2 types of astrocytes. All these files have methylation tags on them for epigenetic analyses.   We also have PacBio HiFi IPSC data with methylation tags.





This dataset is made available to researchers via the ASAP CRN Cloud: cloud.parkinsonsroadmap.org. Instructions for how to request access can be found in the User Manual.

This research was funded by the Aligning Science Across Parkinson's Collaborative Research Network (ASAP CRN), through the Michael J. Fox Foundation for Parkinson's Research (MJFF).

This Zenodo deposit was created by the ASAP CRN Cloud staff on behalf of the dataset authors. It provides a citable reference for a CRN Cloud Dataset
DOI: 10.15468/dl.mzs6a4
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 },
 "DistanceFromCentroidInMeters is greater than or equal to 2000",
 "Geometry POLYGON ((105.610544 14.999999, 179.999961 14.999999, 179.999961 65.08290100000001, 105.610544 65.08290100000001, 105.610544 14.999999))",
 "TaxonKey is Pellona dayi"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001039-260225131425191/datasets/export for details.
DOI: 10.15468/dl.w8x8rd
title: Occurrence Download

description: A dataset containing 2290 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Picumnus lafresnayi",
 "Year is greater than or equal to 2000",
 "Year is less than or equal to 2026",
 "Country is Colombia",
 "HasCoordinate is true"
 ]
}

 The dataset includes 2290 records from 20 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001043-260225131425191/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.9pe7wk
title: Occurrence Download

description: A dataset containing 13 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Ameivula cipoensis)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 13 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001044-260225131425191/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.6ekfrv
title: Occurrence Download

description: A dataset containing 15716 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Humulus scandens",
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil)"
 ]
 }
 }
 ]
}

 The dataset includes 15716 records from 253 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001042-260225131425191/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.5653a7
title: Occurrence Download

description: A dataset containing 6027 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 },
 "TaxonKey is Stauntonia"
 ]
}

 The dataset includes 6027 records from 132 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001045-260225131425191/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.y3x7my
title: Occurrence Download

description: A dataset containing 1011 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((181.93098 51.14576,223.50022 16.25187,297.83937 -49.8948,296.9291 -18.18688,295.71539 -3.31905,294.80512 10.48679,289.48919 26.92339,286.56537 35.96372,283.31756 46.00582,281.60613 51.29747,181.93098 51.14576))",
 "HasCoordinate is true",
 "TaxonKey is Dermochelys coriacea",
 "Year 1980-2000"
 ]
}

 The dataset includes 1011 records from 58 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001046-260225131425191/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.28f2g7
title: Occurrence Download

description: A dataset containing 322 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is Tetranychus urticae collection records in a predator-prey system: Phytoseiulus persimilis (Acari: Phytoseiidae) and Tetranychus urticae (Acari: Tetranychidae)"
 ]
}

 The dataset includes 322 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001048-260225131425191/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.28466666
title: Figure 9

description: Image sequences underlying figure 9. Image sequences were captured at 1 Hz. Calcium was visualised with Cal520.
DOI: 10.6084/m9.figshare.28466666.v1
title: Figure 9

description: Image sequences underlying figure 9. Image sequences were captured at 1 Hz. Calcium was visualised with Cal520.
DOI: 10.5281/zenodo.18777319
title: asap-raw-team-indipd-ipsc-cageseq-kolf21j-wt

description: This Zenodo deposit contains a publicly available description of the Dataset:

Title: "asap-raw-team-indipd-ipsc-cageseq-kolf21j-wt".

Description: This dataset includes CAGE sequencing data from the KOLF2.1J reference line for iPSC, cortical neuron, and microglia. This data was generated by DNAform. Average length from all three cell types is 75bp at around 3Gb per cell.





This dataset is made available to researchers via the ASAP CRN Cloud: cloud.parkinsonsroadmap.org. Instructions for how to request access can be found in the User Manual.

This research was funded by the Aligning Science Across Parkinson's Collaborative Research Network (ASAP CRN), through the Michael J. Fox Foundation for Parkinson's Research (MJFF).

This Zenodo deposit was created by the ASAP CRN Cloud staff on behalf of the dataset authors. It provides a citable reference for a CRN Cloud Dataset
DOI: 10.5281/zenodo.18777318
title: asap-raw-team-indipd-ipsc-cageseq-kolf21j-wt

description: This Zenodo deposit contains a publicly available description of the Dataset:

Title: "asap-raw-team-indipd-ipsc-cageseq-kolf21j-wt".

Description: This dataset includes CAGE sequencing data from the KOLF2.1J reference line for iPSC, cortical neuron, and microglia. This data was generated by DNAform. Average length from all three cell types is 75bp at around 3Gb per cell.





This dataset is made available to researchers via the ASAP CRN Cloud: cloud.parkinsonsroadmap.org. Instructions for how to request access can be found in the User Manual.

This research was funded by the Aligning Science Across Parkinson's Collaborative Research Network (ASAP CRN), through the Michael J. Fox Foundation for Parkinson's Research (MJFF).

This Zenodo deposit was created by the ASAP CRN Cloud staff on behalf of the dataset authors. It provides a citable reference for a CRN Cloud Dataset
DOI: 10.5281/zenodo.18777156
title: dhd2026

description: This is a repository containing the data and code for our poster "Kombinieren statt neu trainieren. Zur automatisierten Erkennung diegetischen räumlichen Vokabulars mit Hilfe existierender Annotationen und Classifier" addressing the recognition of diegetic spatial vocabulary presented at DHd2026 in Vienna.

 

DFG Priority Program SPP 2207 “Computational Literary Studies“Online:



https://gepris.dfg.de/gepris/projekt/402743989

https://dfg-spp-cls.github.io/


Subproject: "Computational Approaches to Narrative Space in 19th and 20th Century Novels" (CANSpiN)Online:



https://gepris.dfg.de/gepris/projekt/508056813

https://dfg-spp-cls.github.io/projects_en/2020/01/24/TP-Computational_Approaches_to_Narrative_Space

https://www.canspin.uni-rostock.de
DOI: 10.5281/zenodo.18777155
title: dhd2026

description: This is a repository containing the data and code for our poster "Kombinieren statt neu trainieren. Zur automatisierten Erkennung diegetischen räumlichen Vokabulars mit Hilfe existierender Annotationen und Classifier" addressing the recognition of diegetic spatial vocabulary presented at DHd2026 in Vienna.

 

DFG Priority Program SPP 2207 “Computational Literary Studies“Online:



https://gepris.dfg.de/gepris/projekt/402743989

https://dfg-spp-cls.github.io/


Subproject: "Computational Approaches to Narrative Space in 19th and 20th Century Novels" (CANSpiN)Online:



https://gepris.dfg.de/gepris/projekt/508056813

https://dfg-spp-cls.github.io/projects_en/2020/01/24/TP-Computational_Approaches_to_Narrative_Space

https://www.canspin.uni-rostock.de
DOI: 10.6084/m9.figshare.28466651
title: CSV data for figures 7 and 8

description: Underlying data used to produce the graphs in figures 7 and 8.
DOI: 10.6084/m9.figshare.28466651.v1
title: CSV data for figures 7 and 8

description: Underlying data used to produce the graphs in figures 7 and 8.
DOI: 10.15468/dl.gcxwvn
title: Occurrence Download

description: A dataset containing 73410 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is New Zealand",
 "OccurrenceStatus is Present",
 "TaxonKey is Petroica macrocephala"
 ]
}

 The dataset includes 73410 records from 52 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000958-260225131425191/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.20383/102.0699
title: The effect of soil moisture and oxygen content on naphthalene biodegradation - Time series geochemistry data from an incubation experiment

description: Biodegradation is a key process contributing to the natural attenuation and remediation of petroleum hydrocarbons (PHCs) in soils and groundwater, but the rates and pathways of PHC biodegradation depend on various environmental factors including soil moisture. Soil moisture exerts an important control on porewater dissolved O2 availability and solute transport, and by extension, on microbial biodegradation activity. To investigate the effect of soil moisture and oxygen availability on naphthalene biodegradation rates, we performed a microcosm incubation experiment under soil moisture conditions ranging from 60% to 100% water-filled pore space (WFPS), with oxic or anoxic headspace conditions, at a constant temperature of 25°C. Naphthalene-spiked soil microcosms were incubated for 44 days and sampled weekly. Time series data were generated for headspace gas concentrations, porewater chemistry, and total soil naphthalene concentrations, which are included in this dataset. Results and findings from analysis of this data are reported in Naphthalene biodegradation kinetics under variable soil moisture and oxygen (pending submission, DOI: TBD).
DOI: 10.20383/103.0640
title: Modeling multi-year phosphorus dynamics in a bioretention cell: phosphorus partitioning, accumulation, and export

description: Abstract: Nutrient phosphorus (P) export from urban areas via stormwater runoff contributes to eutrophication of downstream aquatic ecosystems. Bioretention cells are a Low Impact Development (LID) technology promoted as a green solution to attenuate urban peak flow discharge, as well as the export of excess nutrients and other contaminants. Despite their rapidly growing implementation worldwide, a predictive understanding of the efficiency of bioretention cells in reducing P runoff remains limited. Here, we present a reaction-transport model data and codes that was used to simulate the fate and transport of P in a bioretention cell facility in the greater Toronto metropolitan area. The model incorporates a representation of the biogeochemical reaction network that controls P cycling within the cell. We used the model as a diagnostic tool to determine the relative importance of processes immobilizing P in the bioretention cell. The model predictions were compared to multi-year observational data on 1) the outflow loads of total P (TP) and soluble reactive P (SRP) during the 2012-2017 period, 2) TP depth profiles collected at 4 time points during the 2012-2019 period, and 3) sequential chemical P extractions performed on core samples from the filter media layer obtained in 2019. According to the modeling results, groundwater recharge was principally responsible for decreasing the surface water discharge from the bioretention cell (63% runoff reduction). From 2012 to 2017, the cumulative outflow export loads of TP and SRP only accounted for 1% and 2% of the corresponding inflow loads, respectively. Accumulation in the filter media layer was the predominant mechanism responsible for the reduction in P outflow loading (57% retention of TP inflow load) followed by plant uptake (21% TP retention). Of the P retained within the filter media layer, 48% occurred in stable, 41% in potentially mobilizable, and 11% in easily mobilizable forms. There were no signs that the P retention capacity of the bioretention cell would approach saturation in the near future. The design of this bioretention facility seems therefore especially efficient at controlling urban P runoff. This Dataset includes the model scripts and modelled results dataset for Elm Drive bio retention cell.
DOI: 10.20383/103.0582
title: Amorphous silica dissolution kinetics in freshwater environments: Effects of Fe2+ and other solution compositional controls

description: This dataset contains results of laboratory batch experiments in the Ecohydrology Research Group in Waterloo, Ontario. The goal of the research was to study the rates of amorphous silica dissolution as a function of solution chemical composition. The dataset includes time series chemical concentration data of dissolved silicon concentrations in the dissolution batch experiment systems for different batch system treatments representing different solution chemical compositions. Specifically, the solution composition effects studied were: pH, ferrous iron (Fe(II) concentration and salinity. These time series concentration data were used to calculate dissolution rate constants.
DOI: 10.20383/103.0634
title: Lake Wilcox sediment core analysis dataset supporting publication: Contrasting impacts of agricultural intensification and urbanization on lake phosphorus cycling and implications for managing eutrophication

description: The dataset contains sediment core analyses (extraction for total phosphorus, aluminum, iron, manganese, sodium, sulfur, and potassium, sequential chemical extractions of phosphorus species, and pigment concentrations) along with radioisotope-derived sediment core dating results (sediment age and sediment accumulate rates). The sediment core was collected from Lake Wilcox in 2019, and analyzed between 2019 and 2023, and the sediment age in the sediment core was dated back to circa 1920.