cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15468/dl.zk2twf
title: Occurrence Download

description: A dataset containing 1562 species occurrences available in GBIF matching the query:
{
 "and" : [
 "OccurrenceStatus is Present",
 "TaxonKey is Fragaria vesca subsp. americana (Porter) Staudt"
 ]
}

 The dataset includes 1562 records from 115 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003226-250221090833381/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.8mpeby
title: Occurrence Download

description: A dataset containing 2846 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Vaccinium corymbosum L.)",
 "BasisOfRecord is one of (Observation, Human Observation, Material sample, Specimen, Unknown evidence, Machine Observation, Occurrence evidence)",
 "Year is greater than or equal to 1971",
 "Year is less than or equal to 2010",
 "HasCoordinate is true"
 ]
}

 The dataset includes 2846 records from 137 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003227-250221090833381/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.3886/e214263v1
title: Oral Health and Dental Care Utilization Among Formerly Incarcerated Older Adults in the United States

description: Data posted on this repository are from studies supported by National Institute of Dental and Craniofacial Reserach Grant R03DE033486: Oral Health and Dental Care Utilization Among Formerly Incarcerated Older Adults in the United States.<br>
DOI: 10.3886/e214263v2
title: Oral Health and Dental Care Utilization Among Formerly Incarcerated Older Adults in the United States

description: Data posted on this repository are from studies supported by National Institute of Dental and Craniofacial Reserach Grant R03DE033486: Oral Health and Dental Care Utilization Among Formerly Incarcerated Older Adults in the United States.<br>
DOI: 10.3886/e214263
title: Oral Health and Dental Care Utilization Among Formerly Incarcerated Older Adults in the United States

description: Data posted on this repository are from studies supported by National Institute of Dental and Craniofacial Reserach Grant R03DE033486: Oral Health and Dental Care Utilization Among Formerly Incarcerated Older Adults in the United States.<br>
DOI: 10.3886/e214263v3
title: Oral Health and Dental Care Utilization Among Formerly Incarcerated Older Adults in the United States

description: Data posted on this repository are from studies supported by National Institute of Dental and Craniofacial Reserach Grant R03DE033486: Oral Health and Dental Care Utilization Among Formerly Incarcerated Older Adults in the United States.<br>
DOI: 10.15468/dl.u35g5w
title: Occurrence Download

description: A dataset containing 452 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 Carex tristachya Thunb.",
 "Year is less than or equal to 2000",
 "Year is greater than or equal to 1970",
 {
 "or" : [
 {
 "not" : {
 "EstablishmentMeans" : [
 "is one of (MANAGED, INTRODUCED)"
 ]
 }
 },
 "EstablishmentMeans is null"
 ]
 },
 {
 "or" : [
 "CoordinateUncertaintyInMeters is less than 1000",
 "CoordinateUncertaintyInMeters is null"
 ]
 }
 ]
}

 The dataset includes 452 records from 31 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003229-250221090833381/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.eng65p
title: Occurrence Download

description: A dataset containing 8 species occurrences available in GBIF matching the query:
{
 "and" : [
 "GadmGid is CAN.9_1",
 "TaxonKey is Cryptotis parva (Say, 1823)"
 ]
}

 The dataset includes 8 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003230-250221090833381/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.qeafyj
title: Occurrence Download

description: A dataset containing 37 species occurrences available in GBIF matching the query:
{
 "and" : [
 "GadmGid is one of (ITA.1_1, ITA.8_1, ITA.11_1, ITA.12_1, ITA.18_1)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Coenonympha glycerion Borkhausen, 1788"
 ]
}

 The dataset includes 37 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003231-250221090833381/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.39kgpu
title: Occurrence Download

description: A dataset containing 13431 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Morone americana (Gmelin, 1789)"
 ]
}

 The dataset includes 13431 records from 80 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003232-250221090833381/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.21227/bxqc-dg69
title: The Channel Fading Characteristic Measurement Dataset of the North Campus of Xidian University

description: The measurements in this study were carried out at Xidian University's north campus in China. The building density and height in this area are typical of urban environments, and there are fewer uncertainties that could affect the experimental results. Figure shows an aerial view of the measurement environment, including the chosen Tx and Rx locations. Centered at each receiver, a square with a side length 15 times the wavelength of the transmitted signal was constructed. The receiving antenna was moved inside each square following the path shown in the figure. The transmitter was composed of an SMB100A signal generator manufactured by Rohde \& Schwarz and a 30 dB gain amplifier, set to emit a continuous wave signal at 2.3 GHz with an output power of +43 dBm. During the measurements, the TX antenna was placed on a 2.0 m stand, oriented vertically, and kept stationary at all times. For the receiver, the Rx antenna was mounted on a carbon fiber rod at 2.0 m above ground, secured to a cart to maintain vertical polarization during movement. This antenna was then connected to a Rohde \& Schwarz FSW50 signal and spectrum analyzer using a low-loss coaxial cable. The spectrum analyzer recorded the received signal power incident on the RF input port with a bandwidth of 10 kHz, centered at 2.3 GHz. The received signal power was automatically collected and stored on a laptop through local area network (LAN), with 100 sets of traces stored per second. Both the TX and RX used the same omnidirectional sleeve discone antennas with +4 dBi gain (A-INFO model PZ-100800/P).
DOI: 10.5281/zenodo.14918361
title: Data and analysis code for Prevention of ribozyme catalysis through cDNA synthesis enables accurate RT-qPCR measurements of context-dependent ribozyme activity

description: Raw RT-qPCR data and associated analysis code, uncropped gel images
DOI: 10.5281/zenodo.14918362
title: Data and analysis code for Prevention of ribozyme catalysis through cDNA synthesis enables accurate RT-qPCR measurements of context-dependent ribozyme activity

description: Raw RT-qPCR data and associated analysis code, uncropped gel images
DOI: 10.21227/jaaa-h321
title: Household appliance-usage preferences, appliance energy consumption and hourly renewable-energy production, per season and date

description: Twelve (12) realistic datasets encapsulating residents’ preferences, with each dataset representing the appliance-usage preferences expressed for a variant set of households by their respective residents for a specific season and day. The preferences were extracted from the REFIT dataset, a public 500MB dataset which contains real kW readings of the power output for the most energy-intensive shiftable/real-time appliances in 20 households in the UK, between September 2013 and July 2015. The pre-processing performed in order to extract the preferences included (i) converting kW readings per second into perminute readings by removing duplicate records, (ii) converting per-minute readings into hourly readings by summing them up, (iii) defining preference (or not) of an appliance, per hour, through threshold values, and (iv) mapping each household to a resident and assigning the 24-hour preference-batch for a specific date for that household to the corresponding resident. Furthermore, the energy consumption per appliance was derived by examining the kW readings in the original dataset. The datasets that resulted from the above pre-processing can be found in the table below. Each dataset also includes renewable-energy production data, which is uniformly varied based on the number of households and season. A dataset’s hourly peak-production was defined as the output of a 4.5kW PV-system per household, using the standard formula for calculating solar panel energy production:P_PV = Ppeak ∗ (G / Gstandard) − a ∗ (T − Tstandard)subject to (i) solar panels with Ppeak = 450W and a temperature-coefficient a = 0.3, (ii) the Standard Test Conditions and (iii) the average seasonal temperature G3 and irradiance T in the UK:Autumn: G : 9, T : 833Winter: G : 5, T : 750Spring: G : 13, T : 916Summer: G : 17, T : 1000Finally, a renewable-energy production curve is formed from 06:00 to 18:00 by assigning the peak-production value at 12:00 and adjusting the hourly production values according to the standard renewable-energy production curve, as often encountered. THE DATASETS GENERATED BY USING INFORMATION FROM THE REFIT PUBLIC DATASETDatasetDateNum of residents (U)Num of appliances (A)Num of timeslots (T)Households (IDs)Demand (kWh)Available Renewable energy (kWh)Sml_Aut23/10/2013525241 2 3 4 5113.4114Sml_Win11/12/2013525241 3 4 5 696.292Sml_Spg05/04/2014525241 2 3 4 5156.7136Sml_Sum02/06/2014 525241 2 3 4 597.5162Med_Aut29/11/20131049241-10 (2*, 9*)183.6228Med_Win19/01/20141050241 3 4 5 67 8 9 10 13241.0184Med_Spg18/03/2014 1049241-10186.4272Med_Sum15/06/20141047241 2 3 4 517-21156.0324Lrg_Aut23/10/2014 2091241-21 (all)248.9456Lrg_Win25/01/20152091241-21 (all)418.7368Lrg_Spg21/03/20142091241-21 (all)(4*, 11*)340.8544Lrg_Sum28/06/2014 2091241-21 (all)302.1648*date unavailable, closest date retrieved
DOI: 10.5281/zenodo.14856337
title: Finnish Winter Driving Dataset

description: This is a Winter Driving Dataset with high-quality GNSS/INS readings, forward-facing images, and 32-channel lidar scans (top mounted) for 1000 samples. Road segmentation annotations are provided for the images. The data is used in this paper. The source code for the paper is available in github. Image data has been anonymized so that it doesn't contain personal data. This work was funded by Henry Ford Foundation Finland and Aalto Doctoral School. 

The exact sensor setup is:



GNSS/INS: Novatel PWRPAK 7DE2

Camera: FLIR blackfly S 2448x2048

Lidar: Velodyne VLP-32C


The dataset is divided into countryside and suburb subsets, both containing a test sequence with 400 samples and a validation sequence with 100 samples. The file structure is as follows:

finnish_winter_driving_dataset/├─ processed/│   ├─ countryside_test/│   │   ├─ data/│   │   │   ├─ images/│   │   │   │  ├─ 0.png│   │   │   │  ├─ ...│   │   │   ├─ scans/│   │   │   │   ├─ 0.npy│   │   │   │   ├─ ...│   │   │   ├─ pose_ids.txt│   │   │   ├─ poses.csv│   │   ├─ labels│   │   │   ├─ 0.png│   │   │   ├─ ...│   ├─ countryside_validation/│   │   ├─ ...│   ├─ suburb_test/│   │   ├─ ...│   ├─ suburb_validation/│   │   ├─ ... ├─ calib.yaml



images folder contains undistorted images

scans folder contains lidar scans separated into scan rings in numpy npy format.

poses.csv contains latitude, longitude, and azimuth measurements at 10 Hz

pose_ids.txt contains the id of each sample in poses.csv. The pose for the n:th sample can be retrieved by taking the n:th pose_id from pose_ids.txt and then taking the pose_id:th value from poses.csv. 

labels folder contains the manual road segmentation ground truth labels for the images

calib.yaml contains the extrinsic and intrinsic calibration parameters. 


 

If you use this dataset, please cite

@article{alamikkotervo2024trajectory,
  title={Trajectory-based Road Autolabeling with Lidar-Camera Fusion in Winter Conditions},
  author={Alamikkotervo, Eerik and Toikka, Henrik and Tammi, Kari and Ojala, Risto},
  journal={arXiv preprint arXiv:2412.02370},
  year={2024}
}
DOI: 10.5281/zenodo.14856338
title: Finnish Winter Driving Dataset

description: This is a Winter Driving Dataset with high-quality GNSS/INS readings, forward-facing images, and 32-channel lidar scans (top mounted) for 1000 samples. Road segmentation annotations are provided for the images. The data is used in this paper. The source code for the paper is available in github. Image data has been anonymized so that it doesn't contain personal data. This work was funded by Henry Ford Foundation Finland and Aalto Doctoral School. 

The exact sensor setup is:



GNSS/INS: Novatel PWRPAK 7DE2

Camera: FLIR blackfly S 2448x2048

Lidar: Velodyne VLP-32C


The dataset is divided into countryside and suburb subsets, both containing a test sequence with 400 samples and a validation sequence with 100 samples. The file structure is as follows:

finnish_winter_driving_dataset/├─ processed/│   ├─ countryside_test/│   │   ├─ data/│   │   │   ├─ images/│   │   │   │  ├─ 0.png│   │   │   │  ├─ ...│   │   │   ├─ scans/│   │   │   │   ├─ 0.npy│   │   │   │   ├─ ...│   │   │   ├─ pose_ids.txt│   │   │   ├─ poses.csv│   │   ├─ labels│   │   │   ├─ 0.png│   │   │   ├─ ...│   ├─ countryside_validation/│   │   ├─ ...│   ├─ suburb_test/│   │   ├─ ...│   ├─ suburb_validation/│   │   ├─ ... ├─ calib.yaml



images folder contains undistorted images

scans folder contains lidar scans separated into scan rings in numpy npy format.

poses.csv contains latitude, longitude, and azimuth measurements at 10 Hz

pose_ids.txt contains the id of each sample in poses.csv. The pose for the n:th sample can be retrieved by taking the n:th pose_id from pose_ids.txt and then taking the pose_id:th value from poses.csv. 

labels folder contains the manual road segmentation ground truth labels for the images

calib.yaml contains the extrinsic and intrinsic calibration parameters. 


 

If you use this dataset, please cite

@article{alamikkotervo2024trajectory,
  title={Trajectory-based Road Autolabeling with Lidar-Camera Fusion in Winter Conditions},
  author={Alamikkotervo, Eerik and Toikka, Henrik and Tammi, Kari and Ojala, Risto},
  journal={arXiv preprint arXiv:2412.02370},
  year={2024}
}
DOI: 10.15468/dl.2f9zqv
title: Occurrence Download

description: A dataset containing 8 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Longitarsus springeri Leonardi, 1975"
 ]
}

 The dataset includes 8 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003235-250221090833381/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.s8zxhs
title: Occurrence Download

description: A dataset containing 12 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Netherlands",
 "TaxonKey is Rapana venosa (Valenciennes, 1846)",
 "Year 1925-2025"
 ]
}

 The dataset includes 12 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003236-250221090833381/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25934/pr00006166.1
title: Available IPD datapackage for study 'A 52-Week, Multi-Centre, Randomised, Parallel-Group, Double-Blind, Active Controlled, Phase IV Study to Evaluate the Safety and Efficacy of Dapagliflozin or Dapagliflozin Plus Saxagliptin Compared With Sulphonylurea All Given as Add-on Therapy to Metformin in Adult Patients With Type 2 Diabetes Who Have Inadequate Glycaemic Control on Metformin Monotherapy'

description: This study is being carried out to see if dapagliflozin and dapagliflozin plus saxagliptin as an addition to metformin is effective and safe in treating patients with type 2 diabetes when compared to glimepiride (sulphonylurea) as an addition to metformin treatment.
DOI: 10.15468/dl.hf69x9
title: Occurrence Download

description: A dataset containing 210 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is Invertebrate collection from reference (nearly pristine) Southern Apennine river sites hosted at CNR-IRSA Brugherio (Milano, Italy)"
 ]
}

 The dataset includes 210 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003234-250221090833381/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.wwdrda
title: Occurrence Download

description: A dataset containing 943 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Specimen",
 "GadmGid is COL.31_2",
 "OccurrenceStatus is Present",
 "TaxonKey is Chiroptera",
 "Year 2000-2025"
 ]
}

 The dataset includes 943 records from 12 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003237-250221090833381/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ywdq5n
title: Occurrence Download

description: A dataset containing 15107 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 Carex vaginata Tausch",
 "Year is less than or equal to 2000",
 "Year is greater than or equal to 1970",
 {
 "or" : [
 {
 "not" : {
 "EstablishmentMeans" : [
 "is one of (MANAGED, INTRODUCED)"
 ]
 }
 },
 "EstablishmentMeans is null"
 ]
 },
 {
 "or" : [
 "CoordinateUncertaintyInMeters is less than 1000",
 "CoordinateUncertaintyInMeters is null"
 ]
 }
 ]
}

 The dataset includes 15107 records from 108 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003233-250221090833381/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.mwzg8b
title: Occurrence Download

description: A dataset containing 7162 species occurrences available in GBIF matching the query:
{
 "and" : [
 "IucnRedListCategory is CR",
 "TaxonKey is Asteraceae"
 ]
}

 The dataset includes 7162 records from 290 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003238-250221090833381/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.21227/r83w-g590
title: Model development dataset

description: Data was acquired using data aquisiton interface in a laboratory on a flow control unit. The data has been transformed into two excel spreadsheets which was later used in Matlab. This dataset also consists of three Matlab codes. First one is the code for the experiment in which the ANN models were developed. Second Matlab code is the code for data importing from the excel spreadsheets and the third Matlab code is the data preparation code for the Simulink purposes in order to test the models. This data repository is a part of an ongoing research, aiming to examine the potential of the ANN in fluid flow processes modeling onboard a ship.
DOI: 10.5281/zenodo.14918369
title: AMPERE Summary Plot Movies (2022-May)

description: 2022-May AMPERE summary plot movies. See included zenodo_summary_plot_movie_description document for details.
DOI: 10.5281/zenodo.14918370
title: AMPERE Summary Plot Movies (2022-May)

description: 2022-May AMPERE summary plot movies. See included zenodo_summary_plot_movie_description document for details.
DOI: 10.48320/ee112e87-6dc0-4086-8a8a-84bfbe57cab6
title: Opinions and Views of the Population of Ukraine: December 2024 (KIIS Omnibus 2024/12)
DOI: 10.5281/zenodo.14918452
title: Opinions and Views of the Population of Ukraine: December 2024 (KIIS Omnibus 2024/12) – Data from a nationwide public opinion poll conducted by KIIS in December 2024

description: "Opinions and Views of the Population of Ukraine" is a regular omnibus survey, conducted by Kyiv International Institute of Sociology (KIIS) among Ukraine's adult population and covering a wide range of topics. The data presented here is a subset of the survey conducted in December 2024 and includes KIIS's own research questions.
Topics covered by the survey include: readiness for concessions for peace, and acceptability of specific hypothetical scenarios for the end of the war; how long Ukrainians are ready to bear the burden of war; the potential impact of Donald Trump's election as President of the United States on the conflict in Ukraine; perceptions of Ukraine's future in 10 years; Ukraine's progress toward becoming a unified political nation; trust in Volodymyr Zelenskyy; trust in social institutions; public confidence in sociological surveys; attitudes towards the EU and NATO; attitudes towards the concept of Ukraine potentially restoring nuclear weapons; personal experiences with stressful situations.
Data collection took place from December 2 to 17, 2024.
The full sample consists of 2,000 respondents, divided into two subsamples of approximately 1,000 respondents each for specific questions.
The data is available in an SAV format (Ukrainian, English) and a converted CSV format (with a codebook).
The Data Documentation (pdf file) also includes a short overview and discussion of survey results as well as the relevant parts of the original questionnaire.
description: Published on Discuss Data, https://discuss-data.net/dataset/ee112e87-6dc0-4086-8a8a-84bfbe57cab6/
description: Method(s) of data collection: Public Opinion Poll