cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.3886/e192027v1
title: Data and Code for: Transmission Impossible? Prospects for Decarbonizing the US Grid

description: This data and code archive provides the raw data and code used to create the figures for the paper "Transmission Impossible? Prospects for Decarbonizing the US Grid" under preparation for the Journal of Economic Perspectives.
description: - Electricity generation types (wind, solar, etc.) in the US by year, 2010-2022.<br><br>- Electricity generation types (wind, solar, etc.) in the US by month, 2010-2023.<br><br>- Renewable electricity generation (wind, solar) that an Independent System Operator curtailed, for the CAISO and SPP markets in the US, 2014-2023.<br><br>- New transmission lines built in the US, 2005-2020.
DOI: 10.6084/m9.figshare.24468274
title: rmd_counts.zip

description: Counts of mutations in 1Mb windows along the genome (with matched tri-nt context between the windows) for 4221 tumor samples. The "nt_risk" column is the number of nucleotides remaining after removing problematic regions and performing the tri-nt matching. To calculate the regional mutation density (RMD), we need to divide the count/nt_at_risk columns.
DOI: 10.6084/m9.figshare.24468274.v1
title: rmd_counts.zip

description: Counts of mutations in 1Mb windows along the genome (with matched tri-nt context between the windows) for 4221 tumor samples. The "nt_risk" column is the number of nucleotides remaining after removing problematic regions and performing the tri-nt matching. To calculate the regional mutation density (RMD), we need to divide the count/nt_at_risk columns.
DOI: 10.3886/e192141
title: Data and Code for: The Economics of Electricity Reliability

description: Code and data to replicate Borenstein, Bushnell and Mansur.
description: Smallest Geographic Unit: utility area
DOI: 10.3886/e192141v1
title: Data and Code for: The Economics of Electricity Reliability

description: Code and data to replicate Borenstein, Bushnell and Mansur.
description: Smallest Geographic Unit: utility area
DOI: 10.5281/zenodo.3713272
title: PAN12 Author Identification: Attribution

description: We provide you with a training corpus that comprises several different common attribution and clustering scenarios.


In last year’s competition, the corpus consisted of several thousand relatively small documents, with distractor sets consisting of hundreds of authors. This was considered to create impracticalities for many participants, especially those that relied upon machine-aided instead of fully automatic analysis. We have instead focused on a smaller group of larger documents, perhaps more typical of the type of cases usually analyzed by “traditional” close reading.


Last year’s corpus was taken from the Enron email corpus; this years instead was collected from the free fiction collection published by Feedbooks.com, including both classic fiction that is now out-of-copyright as well as (fiction, represented by the Feedbooks.com site). This of course introduces the standard issue of analysis-by-Google, but that’s a very difficult problem to avoid short of generating content to order.
DOI: 10.5281/zenodo.3713273
title: PAN12 Author Identification: Attribution

description: We provide you with a training corpus that comprises several different common attribution and clustering scenarios.


In last year’s competition, the corpus consisted of several thousand relatively small documents, with distractor sets consisting of hundreds of authors. This was considered to create impracticalities for many participants, especially those that relied upon machine-aided instead of fully automatic analysis. We have instead focused on a smaller group of larger documents, perhaps more typical of the type of cases usually analyzed by “traditional” close reading.


Last year’s corpus was taken from the Enron email corpus; this years instead was collected from the free fiction collection published by Feedbooks.com, including both classic fiction that is now out-of-copyright as well as (fiction, represented by the Feedbooks.com site). This of course introduces the standard issue of analysis-by-Google, but that’s a very difficult problem to avoid short of generating content to order.
DOI: 10.5281/zenodo.10058816
title: Flux Emergence Photospheric Data from Simulation with Twist 0.5
DOI: 10.5281/zenodo.10058815
title: Flux Emergence Photospheric Data from Simulation with Twist 0.5
DOI: 10.3886/e193683
title: Data and Code for: The Economics Profession's Socioeconomic Diversity Problem

description: This package provides the data and code to accompany the article "The Economics Profession's Socioeconomic Diversity Problem" by Anna Stansbury and Robert Schultz, published in the Journal of Economic Perspectives. <br>
DOI: 10.3886/e193683v1
title: Data and Code for: The Economics Profession's Socioeconomic Diversity Problem

description: This package provides the data and code to accompany the article "The Economics Profession's Socioeconomic Diversity Problem" by Anna Stansbury and Robert Schultz, published in the Journal of Economic Perspectives. <br>
DOI: 10.5284/1114693
title: Records of Buckinghamshire

description: This collection comprises volumes of the Records of Buckinghamshire, a journal published annually by the Buckinghamshire Archaeological Society since 1854. The journal covers the full range of the county's local history and archaeology.
DOI: 10.3886/e193216v1
title: Code for "Early Career Paths of Economists Inside and Outside of Academia"

description: Economics job candidates face considerable professional and financial uncertainties when deciding between academic and nonacademic career paths. Using novel panel data, we provide a broad picture of PhD economists’ early career mobility and earnings growth – both in and outside of academia. We find that academic jobs have fallen to just over half of US placements, with growing shares in tech, consulting, and government. We document considerable early career job mobility and higher earnings growth among job changers, private-sector economists, and men. We also find an earnings premium for graduates of top-ranked PhD programs that grows over early career years in academia while shrinking in the private sector. These different earnings dynamics mean the opportunity cost (in terms of potential earnings) of remaining in academia is generally less for graduates of top-ranked programs, although there is significant dispersion in mid-career earnings among these academics.
description: Frame of analysis is economics PhDs granted by US institutions between 2001-2017, linked to earnings histories spanning 2000-2021. .
DOI: 10.5281/zenodo.10058882
title: Validation dataset

description: This dataset presents reported patient home communities and health facilities which they attended for malaria testing.
DOI: 10.5281/zenodo.10058881
title: Validation dataset

description: This dataset presents reported patient home communities and health facilities which they attended for malaria testing.
DOI: 10.5281/zenodo.10058906
title: Dataset: Pyroelectric Influence on Lithium Niobate During the Thermal Transition for Cryogenic Integrated Photonics

description: Dataset of the publication "Pyroelectric Influence on Lithium Niobate During the Thermal Transition for Cryogenic Integrated Photonics", F. Thiele, et al., in the journal Materials for Quantum Technology (2023).


Abstract:




Lithium niobate has emerged as a promising platform for integrated quantum optics, enabling efficient generation, manipulation, and detection of quantum states of light. However, integrating single-photon detectors requires cryogenic operating temperatures, since the best performing detectors are based on narrow superconducting wires. While previous studies have demonstrated the operation of quantum light sources and electro-optic modulators in LiNbO3 at cryogenic temperatures, the thermal transition between room temperature and cryogenic conditions introduces additional effects that can significantly influence device performance. In this paper, we investigate the generation of pyroelectric charges and their impact on the optical properties of lithium niobate waveguides when changing from room temperature to 25 K, and vice versa. We measure the generated pyroelectric charge flow and correlate this with fast changes in the birefringence acquired through the Sénarmont-method. Both electrical and optical influence of the pyroelectric effect occur predominantly at temperatures above 100 K.
description: This work was supported by the Bundesministerium f ̈ur Bildung und Forschung (Grant No. 13N14911) and the Deutsche Forschungsgemeinschaft (231447078–TRR 142).
DOI: 10.5281/zenodo.8341035
title: Dataset: Pyroelectric Influence on Lithium Niobate During the Thermal Transition for Cryogenic Integrated Photonics

description: Dataset of the publication "Pyroelectric Influence on Lithium Niobate During the Thermal Transition for Cryogenic Integrated Photonics", F. Thiele, et al., in the journal Materials for Quantum Technology (2023).


Abstract:




Lithium niobate has emerged as a promising platform for integrated quantum optics, enabling efficient generation, manipulation, and detection of quantum states of light. However, integrating single-photon detectors requires cryogenic operating temperatures, since the best performing detectors are based on narrow superconducting wires. While previous studies have demonstrated the operation of quantum light sources and electro-optic modulators in LiNbO3 at cryogenic temperatures, the thermal transition between room temperature and cryogenic conditions introduces additional effects that can significantly influence device performance. In this paper, we investigate the generation of pyroelectric charges and their impact on the optical properties of lithium niobate waveguides when changing from room temperature to 25 K, and vice versa. We measure the generated pyroelectric charge flow and correlate this with fast changes in the birefringence acquired through the Sénarmont-method. Both electrical and optical influence of the pyroelectric effect occur predominantly at temperatures above 100 K.
description: This work was supported by the Bundesministerium f ̈ur Bildung und Forschung (Grant No. 13N14911) and the Deutsche Forschungsgemeinschaft (231447078–TRR 142).
DOI: 10.5281/zenodo.8341036
title: Dataset: Pyroelectric Influence on Lithium Niobate During the Thermal Transition for Cryogenic Integrated Photonics

description: Dataset of the publication "Pyroelectric Influence on Lithium Niobate During the Thermal Transition for Cryogenic Integrated Photonics", F. Thiele, et al., in the journal Materials for Quantum Technology (2023). Abstract: Lithium niobate has emerged as a promising platform for integrated quantum optics, enabling efficient generation, manipulation, and detection of quantum states of light. However, integrating single-photon detectors requires cryogenic operating temperatures, since the best performing detectors are based on narrow superconducting wires. While previous studies have demonstrated the operation of quantum light sources and electro-optic modulators in LiNbO<sub>3</sub> at cryogenic temperatures, the thermal transition between room temperature and cryogenic conditions introduces additional effects that can significantly influence device performance. In this paper, we investigate the generation of pyroelectric charges and their impact on the optical properties of lithium niobate waveguides when changing from room temperature to 25 K, and vice versa. We measure the generated pyroelectric charge flow and correlate this with fast changes in the birefringence acquired through the Sénarmont-method. Both electrical and optical influence of the pyroelectric effect occur predominantly at temperatures above 100 K.
description: This work was supported by the Bundesministerium f ̈ur Bildung und Forschung (Grant No. 13N14911) and the Deutsche Forschungsgemeinschaft (231447078–TRR 142).
DOI: 10.3886/icpsr37840.v1
title: Optimizing Juvenile Assessment Performance, United States, 2003-2019
title: Version 1

description: In nearly every state and in the vast majority of juvenile justice agencies, risk assessments are incorporated into diversion, case management, supervision, and placement practices. Despite two decades of use within the juvenile justice system, little research regarding the methods of risk assessment development is discussed or translated to the field and practitioners. Many of the contemporary tools used today are implemented off-the-shelf, meaning that tools were developed with a specific set of methods, selecting and weighting items used in the prediction of a specified sample of youth. What is not known is how the various designs, methods, and circumstances of tool development impact the predictive performance when adopted by a jurisdiction. This study seeks to provide input into this dilemma. Demographic information in this study includes age, race, and sex.
description: The study sought to isolate, test, and evaluate the relative impact of seven notable risk assessment development variations, namely: Item selection technique, Weighting, Gender-specificity, Race-ethnicity neutrality, Outcome specificity, Prediction duration, and Jurisdiction variation. It was anticipated that each tested variation would provide a small-to-substantial impact on the predictive performance of assessments evaluated.
description: Using a large, aggregated, multi-state sample of youth assessed using the same risk-needs assessment item pool, the study created risk assessments using the seven development methods outlined. Item clusters, or factors, were also identified, for potential use as scales in the modeling process. Where required, boosted regression models were used for identifying predictive items and providing coefficient weights. In addition, several sub-samples were created to examine and compare approaches between gender and race/ethnic groupings. Furthermore, comparisons were made between the 10-site unified sample and models created to capture individual site differences. To identify model performance, M-fold validation was completed, where industry standard Area Under the Curve (AUC) statistics are provided.
description: The variables in this study are divided into the following categories: Recidivism measures Criminal history School status Use of free time Employment status Status of relationships Family history Living arrangements Alcohol and drug use Mental health status Attitudes/behaviors Aggression Skills
description: Data gathered in 10 states by risk assessment tools based on the Washington State Juvenile Court Authority - Risk Assessment (WSJCA-RA).
description: Datasets: DS0: Study-Level Files DS1: Master Dataset DS2: Eastern 1 Dataset DS3: Eastern 2 Dataset DS4: Southeastern Dataset DS5: Southern 1 Dataset DS6: Southern 2 Dataset DS7: Midwestern Dataset DS8: Mountain 1 Dataset DS9: Mountain 2 Dataset DS10: Western 1 Dataset DS11: Western 2 Dataset
description: Risk assessment tools used by juvenile justice agencies. Smallest Geographic Unit: Other
description: record abstracts
DOI: 10.5281/zenodo.10052251
title: GTDA-based ReebNet for full ImageNet data with ResNet, VOLO, and AlexNet

description: This folder is used to produce the experiments of ImageNet reported in paper Topological structure of complex predictions. A preprint version of the paper is available on arXiv: https://arxiv.org/abs/2207.14358
Unzip the three .tar.gz files. At the end, you should have a directory that looks like:

exp_comparison_plotting_resnet_alexnet.py
exp_comparison_plotting_volo_resnet.py
GTDA
GTDA.tar.gz
GTDA.yml
ImageNet
ImageNet-details.txt
meta.mat
README.txt
resnet_alexnet
resnet_alexnet.tar.gz
volo_resnet
volo_resnet.tar.gz
The ImageNet files are too large to include and are available from many other sources. You can verify you have the right setup by checking the ImageNet-details.txt file, which has the sha sum for each file we used along with the directory structure. 
There are additional instructions inside the REAMDE.txt file on how to setup the python environment to reproduce the figures.
DOI: 10.5281/zenodo.10052250
title: GTDA-based ReebNet for full ImageNet data with ResNet, VOLO, and AlexNet

description: This folder is used to produce the experiments of ImageNet reported in paper Topological structure of complex predictions. A preprint version of the paper is available on arXiv: https://arxiv.org/abs/2207.14358
Unzip the three .tar.gz files. At the end, you should have a directory that looks like:

exp_comparison_plotting_resnet_alexnet.py
exp_comparison_plotting_volo_resnet.py
GTDA
GTDA.tar.gz
GTDA.yml
ImageNet
ImageNet-details.txt
meta.mat
README.txt
resnet_alexnet
resnet_alexnet.tar.gz
volo_resnet
volo_resnet.tar.gz
The ImageNet files are too large to include and are available from many other sources. You can verify you have the right setup by checking the ImageNet-details.txt file, which has the sha sum for each file we used along with the directory structure. 
There are additional instructions inside the REAMDE.txt file on how to setup the python environment to reproduce the figures.
DOI: 10.5281/zenodo.10058708
title: AGIMUS semi-structured interviews
DOI: 10.5281/zenodo.10058707
title: AGIMUS semi-structured interviews
DOI: 10.6084/m9.figshare.24468280
title: RMDsignatures_window_weights_hg19_k=13_nFact=13.csv

description: Regional mutation density (RMD) signatures obtained after appling NMF into a matrix of mutation density across 1Mb windows along the genome for 4221 tumor samples. The values provided (NMF weights) represent the weight each window has for each signature.
DOI: 10.6084/m9.figshare.24468280.v1
title: RMDsignatures_window_weights_hg19_k=13_nFact=13.csv

description: Regional mutation density (RMD) signatures obtained after appling NMF into a matrix of mutation density across 1Mb windows along the genome for 4221 tumor samples. The values provided (NMF weights) represent the weight each window has for each signature.
DOI: 10.57995/7y9m-w269
title: Data for: Investigating solid waste management strategies in developing countries using Nigeria as a case study

description: These data were collected as part of a PhD project.

The study was carried out to develop a participatory framework with the aim of proffering appropriate waste management and collection strategies in peri-urban areas. Qualitative and quantitative data were collected from collective action groups, households, and State waste agencies. The investigation of the social aspects was explored by using a household survey to understand the perception of waste among the households and waste collection methods. The results on the social aspect show that the knowledge of solid waste management is not translated into the desired outcome.

 The household survey was printed and distributed due to limited availability of electronic devices by households. The printed questionnaires were answered and uploaded on SPSS to derive descriptive statistics on the variables (N=410). The survey questionnaire was designed to build an understanding of solid waste management and the causal links of poor waste services.

Data validation was ensured using triangulation method. This required adopting Focus Group Discussion (FGD) for validation. For this purpose, households and relevant informants participated in an open discussion that was moderated by the researcher. NVivo was used to analyse the interviews and focus group discussions.
DOI: 10.6084/m9.figshare.21980066
title: Data for the SAMURAI-Terrain JTECH manuscript

description: Real radar observational data, CR-SIM data, Radar-filter data created by CR-SIM, and WRF simulation data of Typhoon Chnathu.
DOI: 10.6084/m9.figshare.21980066.v1
title: Data for the SAMURAI-Terrain JTECH manuscript

description: Real radar observational data, CR-SIM data, Radar-filter data created by CR-SIM, and WRF simulation data of Typhoon Chnathu.
DOI: 10.5517/ccdc.csd.cc2b9my7
title: CCDC 2154219: Experimental Crystal Structure Determination

description: Related Article: Joschua Helmer, Alexander Hepp, Raphael J. F. Berger, Felicitas Lips|2023|Dalton Trans.|52|14949|doi:10.1039/D2DT03952D
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc2b9n1c
title: CCDC 2154222: Experimental Crystal Structure Determination

description: Related Article: Joschua Helmer, Alexander Hepp, Raphael J. F. Berger, Felicitas Lips|2023|Dalton Trans.|52|14949|doi:10.1039/D2DT03952D
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.3886/icpsr37839.v1
title: Long-term Mentoring Relationships and Extending the Impacts of the Youth Mentoring Experience into Young Adulthood, Missouri, 2017-2019
title: Version 1

description: The focus of this study is on the relationship between participants in a mentoring program for youths at risk and program staff. A motive for this study is to determine the existence of a genuine long-term impact between these two groups. Although numerous mentoring programs argue that there are benefits to their existence, there had been previously little data to justify these claims. This study contains a mixture of statistical data and qualitative information.
description: The purpose of this study is to determine the effectiveness of mentoring programs for youths at risk. Specifically, if participants in different roles (mentor, mentee, parent or caregiver, and mentoring program staff) support and sustain the development of a long-term mentoring relationship. Additionally, if young adults who participate in a mentoring transition program after their long-term mentoring relationship has formally ended differ from young adult former mentees who do not participate in this program.
description: This study consists of a mixed-methods approach between two distinct groups. Program staff were interviewed in a semi-structured format, and their responses were transcribed into qualitative information. Former mentees were administered an online survey.
description: Both datasets consist of demographic information of respondents (race, age, sex, educational background). For program staff, the respective dataset includes variables related to the work background of respondents. The former mentees dataset consists of respondents' views on participating in the mentoring program and related outcomes.
description: Not applicable.
description: Response Rates: Not applicable.
description: Presence of Common Scales: None.
description: This study utilized a convenience sample and consists of two populations: mentoring program staff (n = 19) from six, one-to-one, community-based mentoring programs and adult, former mentees (n = 117) from a single youth mentoring program.
description: Datasets: DS0: Study-Level Files DS1: Former Mentees Dataset DS2: Program Staff Dataset
description: Staff and participants in a mentoring program for youths. Smallest Geographic Unit: None
description: face-to-face interview; telephone interview; web-based survey