cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.3886/e118084
title: Data and Code for: POLITICAL ALIGNMENT, ATTITUDES TOWARD GOVERNMENT AND TAX EVASION

description: We provide real-world evidence that a positive outlook on government lowers tax evasion.Using individual-level survey data we demonstrate a link between sharing the party of the president and opinions on taxation and spending. We then measure county tax behavior as turnover elections push voters in partisan counties into and out of alignment with the party of the president. As a county moves into alignment we find 1) taxpayers report more easily-evaded forms of income; 2) suspect EITC claims decrease; and 3) audits triggered and audits found to owe additional taxes decrease.
description: All counties that were in existence all years.
DOI: 10.48370/ofd/brq6jf/kloyng
title: HMW_Cyperus_fuscus_L._H_8043.jpg

description: :unav
DOI: 10.48370/ofd/brq6jf
title: Cibora brunatna (Cyperus fuscus L.), 8043

description: Herbarium
DOI: 10.3886/e118084v1
title: Data and Code for: POLITICAL ALIGNMENT, ATTITUDES TOWARD GOVERNMENT AND TAX EVASION

description: We provide real-world evidence that a positive outlook on government lowers tax evasion.Using individual-level survey data we demonstrate a link between sharing the party of the president and opinions on taxation and spending. We then measure county tax behavior as turnover elections push voters in partisan counties into and out of alignment with the party of the president. As a county moves into alignment we find 1) taxpayers report more easily-evaded forms of income; 2) suspect EITC claims decrease; and 3) audits triggered and audits found to owe additional taxes decrease.
description: All counties that were in existence all years.
DOI: 10.48370/ofd/3msaxe/fi7cgt
title: HMW_Coronilla_varia_L._H_8628.jpg

description: :unav
DOI: 10.48370/ofd/3msaxe
title: Cieciorka pstra (Coronilla varia L.), 8628

description: Herbarium
DOI: 10.48370/ofd/iwyo7i/xrb55o
title: HMW_Coronilla_varia_L._H_2285.jpg

description: :unav
DOI: 10.48370/ofd/iwyo7i
title: Cieciorka pstra (Coronilla varia L.), 2285

description: Herbarium
DOI: 10.48370/ofd/k9lcox/ivebrf
title: HMW_Coronilla_varia_L._H_4014.jpg

description: :unav
DOI: 10.48370/ofd/k9lcox
title: Cieciorka pstra (Coronilla varia L.), 4014

description: Herbarium
DOI: 10.48370/ofd/xqph1e/wkfluy
title: HMW_Coronilla_varia_L._H_0826.jpg

description: :unav
DOI: 10.48370/ofd/xqph1e
title: Cieciorka pstra (Coronilla varia L.), 826

description: Herbarium
DOI: 10.34810/data72/601
title: 02AC_1.MR.0009.0131.2013.03.10.09.04.41.296875.165175674.IMA
DOI: 10.34740/kaggle/dsv/2445053
title: COVID Vaccination in World (updated daily)
DOI: 10.5281/zenodo.5113009
title: Multi-layout Invoice Document Dataset (MIDD)

description: Research Purpose/Goal of Multi-Layout Invoice Document Dataset (MIDD) · To provide the annotated and varied invoice layout documents in IOB format to identify and extract named entities (named entity recognition) from the invoice documents to the researchers working in this domain. Obtaining a high-quality and sufficient annotated corpus for automated information extraction from unstructured documents is the biggest challenge researchers face. · To overcome the limitations of rule-based and template-based named entity extraction from unstructured documents traditionally used so far in information extraction approaches. Template-free processing is the only key to processing, and managing a huge pile of unstructured documents in the recent digitized era. · To provide varied invoice layouts so that researchers can develop a generalized AI-based model that will train on various unstructured invoice layouts. Obtained structured output can later be utilized for integrating into information management application of the organization and used for the decision-making process.
description: Pune
DOI: 10.15468/5vzb5c
title: Description of a new species of rabbitfish (Perciformes: Siganidae) from southern India, Sri Lanka and the Maldives

description: This dataset contains the digitized treatments in Plazi based on the original journal article Woodland, David J., Anderson, R. Charles (2014): Description of a new species of rabbitfish (Perciformes: Siganidae) from southern India, Sri Lanka and the Maldives. Zootaxa 3811 (1): 129-136, DOI: http://dx.doi.org/10.11646/zootaxa.3811.1.8
DOI: 10.5281/zenodo.5113008
title: Multi-layout Invoice Document Dataset (MIDD)

description: Research Purpose/Goal of Multi-Layout Invoice Document Dataset (MIDD) · To provide the annotated and varied invoice layout documents in IOB format to identify and extract named entities (named entity recognition) from the invoice documents to the researchers working in this domain. Obtaining a high-quality and sufficient annotated corpus for automated information extraction from unstructured documents is the biggest challenge researchers face. · To overcome the limitations of rule-based and template-based named entity extraction from unstructured documents traditionally used so far in information extraction approaches. Template-free processing is the only key to processing, and managing a huge pile of unstructured documents in the recent digitized era. · To provide varied invoice layouts so that researchers can develop a generalized AI-based model that will train on various unstructured invoice layouts. Obtained structured output can later be utilized for integrating into information management application of the organization and used for the decision-making process.
description: Pune
DOI: 10.3886/e120757
title: Data and Code for: Horizontal Differentiation and the Policy Effect of Charter Schools

description: While school choice may enhance competition, incentives for public schools to raise productivity may be muted if public education is imperfectly substitutable with alternatives. This paper estimates the aggregate effect of charter school expansion on education quality while accounting for the horizontal differentiation of charter programs. Our research design leverages variation following the removal of North Carolina's statewide cap to compare test score changes for students who lived near entering charters to those farther away. We find learning gains that are driven by public schools responding to increased competition from non-horizontally differentiated charter schools, even before those charters actually open.
description: All students in North Carolina public schools for school years 2009-10 through 2014-15.
DOI: 10.3886/e120757v1
title: Data and Code for: Horizontal Differentiation and the Policy Effect of Charter Schools

description: While school choice may enhance competition, incentives for public schools to raise productivity may be muted if public education is imperfectly substitutable with alternatives. This paper estimates the aggregate effect of charter school expansion on education quality while accounting for the horizontal differentiation of charter programs. Our research design leverages variation following the removal of North Carolina's statewide cap to compare test score changes for students who lived near entering charters to those farther away. We find learning gains that are driven by public schools responding to increased competition from non-horizontally differentiated charter schools, even before those charters actually open.
description: All students in North Carolina public schools for school years 2009-10 through 2014-15.
DOI: 10.34810/data72/602
title: 02AC_1.MR.0009.0226.2013.03.10.09.04.41.296875.165177391.IMA
DOI: 10.3886/e119105
title: Data and Code for: The Effect of SNAP on the Composition of Purchased Foods: Evidence and Implications

description: We use detailed data from a large retail panel to study the effect of participation in the Supplemental Nutrition Assistance Program (SNAP) on the composition and nutrient content of foods purchased for at-home consumption. We find that the effect of SNAP participation is small relative to the cross-sectional variation in most of the outcomes we consider. Estimates from a model relating the composition of a household’s food purchases to the household’s current level of food spending imply that closing the gap in food spending between high- and low-SES households would not close the gap in summary measures of food healthfulness.
DOI: 10.3886/e119105v1
title: Data and Code for: The Effect of SNAP on the Composition of Purchased Foods: Evidence and Implications

description: We use detailed data from a large retail panel to study the effect of participation in the Supplemental Nutrition Assistance Program (SNAP) on the composition and nutrient content of foods purchased for at-home consumption. We find that the effect of SNAP participation is small relative to the cross-sectional variation in most of the outcomes we consider. Estimates from a model relating the composition of a household’s food purchases to the household’s current level of food spending imply that closing the gap in food spending between high- and low-SES households would not close the gap in summary measures of food healthfulness.
DOI: 10.15468/j5r9ux
title: Replacement names for Eutrigaster (Graffia) Csuzdi & Zicsi, 1991 and Dichogaster (Malawia) Csuzdi, 2010 (Oligochaeta, Acanthodrilidae)

description: This dataset contains the digitized treatments in Plazi based on the original journal article Csuzdi, Csaba (2014): Replacement names for Eutrigaster (Graffia) Csuzdi & Zicsi, 1991 and Dichogaster (Malawia) Csuzdi, 2010 (Oligochaeta, Acanthodrilidae). Zootaxa 3811 (1): 149-150, DOI: http://dx.doi.org/10.11646/zootaxa.3811.1.11
DOI: 10.5281/zenodo.5113439
title: Dataset for Reproduce "v2e: From Video Frames to Realistic DVS Events"

description: This dataset release is meant for reproducing the results in our paper "v2e: From Video Frames to Realistic DVS Events". The paper is published in The Third International Workshop on Event-Based Vision. Please check out DATASET_README.md for more information. The code that accompanies the dataset is published here. If you use this dataset, please cite: Y. Hu, S-C. Liu, and T. Delbruck. v2e: From Video Frames to Realistic DVS Events. In 2021 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW), 2021. Y. Hu, T. Delbruck, S-C. Liu, "Learning to Exploit Multiple Vision Modalities by Using Grafted Networks" in The 16th European Conference on Computer Vision (ECCV), Online, 2020.
description: This work was funded by the Swiss National Competence Center in Robotics (NCCR Robotics).
DOI: 10.5281/zenodo.5113438
title: Dataset for Reproduce "v2e: From Video Frames to Realistic DVS Events"

description: This dataset release is meant for reproducing the results in our paper "v2e: From Video Frames to Realistic DVS Events". The paper is published in The Third International Workshop on Event-Based Vision. Please check out DATASET_README.md for more information. The code that accompanies the dataset is published here. If you use this dataset, please cite: Y. Hu, S-C. Liu, and T. Delbruck. v2e: From Video Frames to Realistic DVS Events. In 2021 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW), 2021. Y. Hu, T. Delbruck, S-C. Liu, "Learning to Exploit Multiple Vision Modalities by Using Grafted Networks" in The 16th European Conference on Computer Vision (ECCV), Online, 2020.
description: This work was funded by the Swiss National Competence Center in Robotics (NCCR Robotics).
DOI: 10.34810/data72/603
title: 02AC_1.MR.0009.0217.2013.03.10.09.04.41.296875.165177229.IMA
DOI: 10.34810/data72/604
title: 02AC_1.MR.0009.0164.2013.03.10.09.04.41.296875.165176268.IMA
DOI: 10.15468/828aue
title: First record of the genus Baptista Distant, 1903 (Heteroptera: Veliidae) from China, with descriptions of two new species

description: This dataset contains the digitized treatments in Plazi based on the original journal article Ye, Zhen, Polhemus, Dan A., Bu, Wenjun (2014): First record of the genus Baptista Distant, 1903 (Heteroptera: Veliidae) from China, with descriptions of two new species. Zootaxa 3811 (3): 301-315, DOI: http://dx.doi.org/10.11646/zootaxa.3811.3.1
DOI: 10.34810/data72/605
title: 02AC_1.MR.0009.0219.2013.03.10.09.04.41.296875.165177265.IMA
DOI: 10.34808/01pc-as35
title: MODALITY corpus - SPEAKER 32 - SEQUENCE S2

description: The MODALITY corpus is one of the multimodal database of word recordings in English. It consists of over 30 hours of multimodal recordings. The database contains high-resolution, high-framerate stereoscopic video streams and audio signals obtained from a microphone array and a laptop microphone. The corpus can be employed to develop an AVSR system, as every utterance was labelled. Recordings in noisy conditions can be used to test the robustness of speech recognition systems.
The language material was based on a remote control scenario and it includes 231 words -numbers, names of months and days, a set of verbs and nouns related to a computer device control. They were read by speakers as separated words and sequences resulting in a set of 12 recording sessions per speaker. Half of the sessions were recorded in quiet conditions, the other half contained three kinds of intrusive signals (traffic, babble and factory noise).
The corpus includes recordings of 42 speakers (33 male, 9 female). The participants include 20 students and staff of Multimedia Systems Department of the Gdańsk University of Technology, 5 students of the Institute of English and American Studies of the University of Gdańsk, and 17 native English speakers.
The dataset consist of recordings and visual features for SPEAKER 32:
sex: woman
native speaker: yes
age: 44
The test material: SEQUENCE S2
All recordings for all speakers are available at http://www.modality-corpus.org/  Sample still from the corpus(SPEAKER 32) Due to the size of the corpus (approx. 2.5 TB of data), every speaker’s recording was placed in a separate zip file of the size approx. 4-7 GB each.
The recordings were organized according to the speakers’ language skills. The group A (17 speakers) consists of native-speakers. Non-native speakers recordings (Polish nationals) were placed in the Group B (25 speakers).
The audio files use the Waveform Audio File Format (.wav), and contain a single PCM audio stream sampled at 44.1 kSa/s with 16-bit depth. The video files utilize the Matroska Multimedia Container Format (.mkv) in which a video stream in 1080p resolution, captured at 100 fps was placed after being compressed with h.264 codec (using High 4:4:4 profile). The ‘.lab’ files are text files containing the information on word positions in audio files, and follow the HTK label format. Each line of a ‘.lab’ file contains the actual label preceded by start and end times (in 100 ns units) e.g. : 1239620000 1244790000 FIVE which denotes the word “five”, occurring between the 123.962 s and 124.479 s of audio.Word-accurate SNR values calculated for every recording are also included in the ZIP file.
DOI: 10.34808/1y69-s783
title: MODALITY corpus - SPEAKER 32 - COMMANDS C2

description: The MODALITY corpus is one of the multimodal database of word recordings in English. It consists of over 30 hours of multimodal recordings. The database contains high-resolution, high-framerate stereoscopic video streams and audio signals obtained from a microphone array and a laptop microphone. The corpus can be employed to develop an AVSR system, as every utterance was labelled. Recordings in noisy conditions can be used to test the robustness of speech recognition systems.
The language material was based on a remote control scenario and it includes 231 words -numbers, names of months and days, a set of verbs and nouns related to a computer device control. They were read by speakers as separated words and sequences resulting in a set of 12 recording sessions per speaker. Half of the sessions were recorded in quiet conditions, the other half contained three kinds of intrusive signals (traffic, babble and factory noise).
The corpus includes recordings of 42 speakers (33 male, 9 female). The participants include 20 students and staff of Multimedia Systems Department of the Gdańsk University of Technology, 5 students of the Institute of English and American Studies of the University of Gdańsk, and 17 native English speakers.
The dataset consist of recordings and visual features for SPEAKER 32:
sex: woman
native speaker: yes
age: 44
The test material: COMMANDS C2
All recordings for all speakers are available at http://www.modality-corpus.org/  Sample still from the corpus(SPEAKER 32) Due to the size of the corpus (approx. 2.5 TB of data), every speaker’s recording was placed in a separate zip file of the size approx. 4-7 GB each.
The recordings were organized according to the speakers’ language skills. The group A (17 speakers) consists of native-speakers. Non-native speakers recordings (Polish nationals) were placed in the Group B (25 speakers).
The audio files use the Waveform Audio File Format (.wav), and contain a single PCM audio stream sampled at 44.1 kSa/s with 16-bit depth. The video files utilize the Matroska Multimedia Container Format (.mkv) in which a video stream in 1080p resolution, captured at 100 fps was placed after being compressed with h.264 codec (using High 4:4:4 profile). The ‘.lab’ files are text files containing the information on word positions in audio files, and follow the HTK label format. Each line of a ‘.lab’ file contains the actual label preceded by start and end times (in 100 ns units) e.g. : 1239620000 1244790000 FIVE which denotes the word “five”, occurring between the 123.962 s and 124.479 s of audio.Word-accurate SNR values calculated for every recording are also included in the ZIP file.
DOI: 10.34808/nr43-7887
title: MODALITY corpus - SPEAKER 32 - COMMANDS C3

description: The MODALITY corpus is one of the multimodal database of word recordings in English. It consists of over 30 hours of multimodal recordings. The database contains high-resolution, high-framerate stereoscopic video streams and audio signals obtained from a microphone array and a laptop microphone. The corpus can be employed to develop an AVSR system, as every utterance was labelled. Recordings in noisy conditions can be used to test the robustness of speech recognition systems.
The language material was based on a remote control scenario and it includes 231 words -numbers, names of months and days, a set of verbs and nouns related to a computer device control. They were read by speakers as separated words and sequences resulting in a set of 12 recording sessions per speaker. Half of the sessions were recorded in quiet conditions, the other half contained three kinds of intrusive signals (traffic, babble and factory noise).
The corpus includes recordings of 42 speakers (33 male, 9 female). The participants include 20 students and staff of Multimedia Systems Department of the Gdańsk University of Technology, 5 students of the Institute of English and American Studies of the University of Gdańsk, and 17 native English speakers.
The dataset consist of recordings and visual features for SPEAKER 32:
sex: woman
native speaker: yes
age: 44
The test material: COMMANDS C3
All recordings for all speakers are available at http://www.modality-corpus.org/  Sample still from the corpus(SPEAKER 32) Due to the size of the corpus (approx. 2.5 TB of data), every speaker’s recording was placed in a separate zip file of the size approx. 4-7 GB each.
The recordings were organized according to the speakers’ language skills. The group A (17 speakers) consists of native-speakers. Non-native speakers recordings (Polish nationals) were placed in the Group B (25 speakers).
The audio files use the Waveform Audio File Format (.wav), and contain a single PCM audio stream sampled at 44.1 kSa/s with 16-bit depth. The video files utilize the Matroska Multimedia Container Format (.mkv) in which a video stream in 1080p resolution, captured at 100 fps was placed after being compressed with h.264 codec (using High 4:4:4 profile). The ‘.lab’ files are text files containing the information on word positions in audio files, and follow the HTK label format. Each line of a ‘.lab’ file contains the actual label preceded by start and end times (in 100 ns units) e.g. : 1239620000 1244790000 FIVE which denotes the word “five”, occurring between the 123.962 s and 124.479 s of audio.Word-accurate SNR values calculated for every recording are also included in the ZIP file.
DOI: 10.34808/07mt-ty74
title: MODALITY corpus - SPEAKER 32 - SEQUENCE S3

description: The MODALITY corpus is one of the multimodal database of word recordings in English. It consists of over 30 hours of multimodal recordings. The database contains high-resolution, high-framerate stereoscopic video streams and audio signals obtained from a microphone array and a laptop microphone. The corpus can be employed to develop an AVSR system, as every utterance was labelled. Recordings in noisy conditions can be used to test the robustness of speech recognition systems.
The language material was based on a remote control scenario and it includes 231 words -numbers, names of months and days, a set of verbs and nouns related to a computer device control. They were read by speakers as separated words and sequences resulting in a set of 12 recording sessions per speaker. Half of the sessions were recorded in quiet conditions, the other half contained three kinds of intrusive signals (traffic, babble and factory noise).
The corpus includes recordings of 42 speakers (33 male, 9 female). The participants include 20 students and staff of Multimedia Systems Department of the Gdańsk University of Technology, 5 students of the Institute of English and American Studies of the University of Gdańsk, and 17 native English speakers.
The dataset consist of recordings and visual features for SPEAKER 32:
sex: woman
native speaker: yes
age: 44
The test material: SEQUENCE S3
All recordings for all speakers are available at http://www.modality-corpus.org/  Sample still from the corpus(SPEAKER 32) Due to the size of the corpus (approx. 2.5 TB of data), every speaker’s recording was placed in a separate zip file of the size approx. 4-7 GB each.
The recordings were organized according to the speakers’ language skills. The group A (17 speakers) consists of native-speakers. Non-native speakers recordings (Polish nationals) were placed in the Group B (25 speakers).
The audio files use the Waveform Audio File Format (.wav), and contain a single PCM audio stream sampled at 44.1 kSa/s with 16-bit depth. The video files utilize the Matroska Multimedia Container Format (.mkv) in which a video stream in 1080p resolution, captured at 100 fps was placed after being compressed with h.264 codec (using High 4:4:4 profile). The ‘.lab’ files are text files containing the information on word positions in audio files, and follow the HTK label format. Each line of a ‘.lab’ file contains the actual label preceded by start and end times (in 100 ns units) e.g. : 1239620000 1244790000 FIVE which denotes the word “five”, occurring between the 123.962 s and 124.479 s of audio.Word-accurate SNR values calculated for every recording are also included in the ZIP file.
DOI: 10.34808/c649-my11
title: Substrate characterization in a electrochemically derived Manganium-Cobaltium thin films

description: 


Manganium-Cobaltium thin films were electrochemically deposited on a Ni foams subsrates in a one-step process at −1.1 V vs. Ag/AgCl in an aqueous solution of differently concentrated Mn(NO3)2·4H2O and Co(NO3)2·6H2O with the deposition time limited by charges of 60, 120, and 200 mC at 25 °C. The concentration ratios of Mn(NO3)2·4H2O to Co(NO3)2·6H2O were 2 mM to 4 mM, 2 mM to 6 mM, 2 mM to 8 mM, 4 mM to 2 mM, and 0 mM to 4 mM. The chemical characterisation of the substrate was performed by XPS method. High resolution spectra of the Ni2p region were measured. X-ray photoemission spectroscopy measurements were carried out with Omicron NanoTechnology ultra-high vacuum equipment. The hemispherical spectrophotometer was equipped with a 128-channel collector. The XPS measurements were performed at room temperature at a pressure below 1.1 × 10−8 mBar. The photoelectrons were excited by an Mg-Kα X-Ray source. The X-ray anode was operated at 15 keV and 300 W.