cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.21335/nmdc-1473196070-t2
title: CTD profile from 78.3515 N, 16.524 E in Isfjorden, Svalbard, sampled at 04.11.2022, 20:31 UTC during the UNIS AGF311/811-cruise.

description: The file contains temperature, practical salinity and depth measurements binned into 1 db pressure bins. The raw data was measured at 78.3515 N, 16.524 E at 04.11.2022, 20:31 UTC using a Seabird SBE9plus CTD and post-processed with the Seasoft software package. The following processing steps were applied (with default settings): 1. Data Conversion, 2. Wild Edit, 3. Align CTD, 4. Cell Thermal Mass, 5. Filter, 6. Bin Average. If not specified differently, the downcast of the profile was used.
DOI: 10.21335/nmdc-1473196070-t10
title: CTD profile from 78.403 N, 16.4695 E in Isfjorden, Svalbard, sampled at 04.11.2022, 21:12 UTC during the UNIS AGF311/811-cruise.

description: The file contains temperature, practical salinity and depth measurements binned into 1 db pressure bins. The raw data was measured at 78.403 N, 16.4695 E at 04.11.2022, 21:12 UTC using a Seabird SBE9plus CTD and post-processed with the Seasoft software package. The following processing steps were applied (with default settings): 1. Data Conversion, 2. Wild Edit, 3. Align CTD, 4. Cell Thermal Mass, 5. Filter, 6. Bin Average. If not specified differently, the downcast of the profile was used.
DOI: 10.21335/nmdc-1473196070-t3
title: CTD profile from 78.42183333333334 N, 16.443 E in Isfjorden, Svalbard, sampled at 04.11.2022, 21:42 UTC during the UNIS AGF311/811-cruise.

description: The file contains temperature, practical salinity and depth measurements binned into 1 db pressure bins. The raw data was measured at 78.42183333333334 N, 16.443 E at 04.11.2022, 21:42 UTC using a Seabird SBE9plus CTD and post-processed with the Seasoft software package. The following processing steps were applied (with default settings): 1. Data Conversion, 2. Wild Edit, 3. Align CTD, 4. Cell Thermal Mass, 5. Filter, 6. Bin Average. If not specified differently, the downcast of the profile was used.
DOI: 10.21335/nmdc-1473196070-157
title: CTD profile from 78.35566666666666 N, 15.871166666666667 E in Isfjorden, Svalbard, sampled at 04.11.2022, 23:11 UTC during the UNIS AGF311/811-cruise.

description: The file contains temperature, practical salinity and depth measurements binned into 1 db pressure bins. The raw data was measured at 78.35566666666666 N, 15.871166666666667 E at 04.11.2022, 23:11 UTC using a Seabird SBE9plus CTD and post-processed with the Seasoft software package. The following processing steps were applied (with default settings): 1. Data Conversion, 2. Wild Edit, 3. Align CTD, 4. Cell Thermal Mass, 5. Filter, 6. Bin Average. If not specified differently, the downcast of the profile was used.
DOI: 10.21335/nmdc-1473196070-158
title: CTD profile from 78.362 N, 15.842833333333333 E in Isfjorden, Svalbard, sampled at 04.11.2022, 23:37 UTC during the UNIS AGF311/811-cruise.

description: The file contains temperature, practical salinity and depth measurements binned into 1 db pressure bins. The raw data was measured at 78.362 N, 15.842833333333333 E at 04.11.2022, 23:37 UTC using a Seabird SBE9plus CTD and post-processed with the Seasoft software package. The following processing steps were applied (with default settings): 1. Data Conversion, 2. Wild Edit, 3. Align CTD, 4. Cell Thermal Mass, 5. Filter, 6. Bin Average. If not specified differently, the downcast of the profile was used.
DOI: 10.21335/nmdc-1473196070-159
title: CTD profile from 78.37 N, 15.810333333333332 E in Isfjorden, Svalbard, sampled at 05.11.2022, 00:03 UTC during the UNIS AGF311/811-cruise.

description: The file contains temperature, practical salinity and depth measurements binned into 1 db pressure bins. The raw data was measured at 78.37 N, 15.810333333333332 E at 05.11.2022, 00:03 UTC using a Seabird SBE9plus CTD and post-processed with the Seasoft software package. The following processing steps were applied (with default settings): 1. Data Conversion, 2. Wild Edit, 3. Align CTD, 4. Cell Thermal Mass, 5. Filter, 6. Bin Average. If not specified differently, the downcast of the profile was used.
DOI: 10.21335/nmdc-1473196070-160
title: CTD profile from 78.39066666666666 N, 15.7325 E in Isfjorden, Svalbard, sampled at 05.11.2022, 00:40 UTC during the UNIS AGF311/811-cruise.

description: The file contains temperature, practical salinity and depth measurements binned into 1 db pressure bins. The raw data was measured at 78.39066666666666 N, 15.7325 E at 05.11.2022, 00:40 UTC using a Seabird SBE9plus CTD and post-processed with the Seasoft software package. The following processing steps were applied (with default settings): 1. Data Conversion, 2. Wild Edit, 3. Align CTD, 4. Cell Thermal Mass, 5. Filter, 6. Bin Average. If not specified differently, the downcast of the profile was used.
DOI: 10.21335/nmdc-1473196070-161
title: CTD profile from 78.40516666666667 N, 15.681166666666666 E in Isfjorden, Svalbard, sampled at 05.11.2022, 01:11 UTC during the UNIS AGF311/811-cruise.

description: The file contains temperature, practical salinity and depth measurements binned into 1 db pressure bins. The raw data was measured at 78.40516666666667 N, 15.681166666666666 E at 05.11.2022, 01:11 UTC using a Seabird SBE9plus CTD and post-processed with the Seasoft software package. The following processing steps were applied (with default settings): 1. Data Conversion, 2. Wild Edit, 3. Align CTD, 4. Cell Thermal Mass, 5. Filter, 6. Bin Average. If not specified differently, the downcast of the profile was used.
DOI: 10.21335/nmdc-1473196070-162
title: CTD profile from 78.41916666666667 N, 15.644333333333334 E in Isfjorden, Svalbard, sampled at 05.11.2022, 01:39 UTC during the UNIS AGF311/811-cruise.

description: The file contains temperature, practical salinity and depth measurements binned into 1 db pressure bins. The raw data was measured at 78.41916666666667 N, 15.644333333333334 E at 05.11.2022, 01:39 UTC using a Seabird SBE9plus CTD and post-processed with the Seasoft software package. The following processing steps were applied (with default settings): 1. Data Conversion, 2. Wild Edit, 3. Align CTD, 4. Cell Thermal Mass, 5. Filter, 6. Bin Average. If not specified differently, the downcast of the profile was used.
DOI: 10.21335/nmdc-1473196070-163
title: CTD profile from 78.43916666666667 N, 15.602 E in Isfjorden, Svalbard, sampled at 05.11.2022, 02:15 UTC during the UNIS AGF311/811-cruise.

description: The file contains temperature, practical salinity and depth measurements binned into 1 db pressure bins. The raw data was measured at 78.43916666666667 N, 15.602 E at 05.11.2022, 02:15 UTC using a Seabird SBE9plus CTD and post-processed with the Seasoft software package. The following processing steps were applied (with default settings): 1. Data Conversion, 2. Wild Edit, 3. Align CTD, 4. Cell Thermal Mass, 5. Filter, 6. Bin Average. If not specified differently, the downcast of the profile was used.
DOI: 10.21335/nmdc-1473196070-164
title: CTD profile from 78.446 N, 15.587666666666667 E in Isfjorden, Svalbard, sampled at 05.11.2022, 02:35 UTC during the UNIS AGF311/811-cruise.

description: The file contains temperature, practical salinity and depth measurements binned into 1 db pressure bins. The raw data was measured at 78.446 N, 15.587666666666667 E at 05.11.2022, 02:35 UTC using a Seabird SBE9plus CTD and post-processed with the Seasoft software package. The following processing steps were applied (with default settings): 1. Data Conversion, 2. Wild Edit, 3. Align CTD, 4. Cell Thermal Mass, 5. Filter, 6. Bin Average. If not specified differently, the downcast of the profile was used.
DOI: 10.21335/nmdc-1473196070-333_1
title: CTD profile from 78.41416666666667 N, 17.145833333333332 E in Isfjorden, Svalbard, sampled at 05.11.2022, 08:38 UTC during the UNIS AGF311/811-cruise.

description: The file contains temperature, practical salinity and depth measurements binned into 1 db pressure bins. The raw data was measured at 78.41416666666667 N, 17.145833333333332 E at 05.11.2022, 08:38 UTC using a Seabird SBE9plus CTD and post-processed with the Seasoft software package. The following processing steps were applied (with default settings): 1. Data Conversion, 2. Wild Edit, 3. Align CTD, 4. Cell Thermal Mass, 5. Filter, 6. Bin Average. If not specified differently, the downcast of the profile was used.
DOI: 10.1285/i26113775n2p67
title: México y su complejo sistema de planificación territorial
DOI: 10.21335/nmdc-1473196070-333_2
title: CTD profile from 78.41416666666667 N, 17.145833333333332 E in Isfjorden, Svalbard, sampled at 05.11.2022, 08:46 UTC during the UNIS AGF311/811-cruise.

description: The file contains temperature, practical salinity and depth measurements binned into 1 db pressure bins. The raw data was measured at 78.41416666666667 N, 17.145833333333332 E at 05.11.2022, 08:46 UTC using a Seabird SBE9plus CTD and post-processed with the Seasoft software package. The following processing steps were applied (with default settings): 1. Data Conversion, 2. Wild Edit, 3. Align CTD, 4. Cell Thermal Mass, 5. Filter, 6. Bin Average. If not specified differently, the downcast of the profile was used.
DOI: 10.5281/zenodo.7432273
title: Snow phenological parameters based on Northern Hemisphere EASE Grid 2.0 Weekly Snow and Sea Ice Extent (NHSCE) from 1972-2019

description: This dataset include three parts to obtain Figures 1 and 2 in the study of "<strong>Review of snow phenology variation in the Northern Hemisphere and its relationship with climate and vegetation</strong>". The first one is the annual spatial distribution maps of the Snow Cover Onset Date(SCOD), Snow Cover End Date(SCED) and the Snow Cover Days(SCD). The second one is the annual average SCOD, SCED and SCD. The three one is the annual statistics of the SCOD, SCED and SCD. The snow phenological parameters are calculated based on Northern Hemisphere EASE Grid 2.0 Weekly Snow and Sea Ice Extent (NHSCE).
DOI: 10.6084/m9.figshare.12233723.v1
title: Crustal structure of southeast Australia from teleseismic receiver functions.

description: This seismic data was recorded by 24 temporary stations (Bass array) and 8 permanent stations covering southeast Australia. The data was pre-processed by using SAC, then receiver functions were computed, which were subsequently interpreted to yield crustal thickness estimates and bulk crustal composition.<br>
DOI: 10.6084/m9.figshare.21311169.v3
title: Stata Code

description: Stata code for paper <strong>Effects of cannabinoids in Parkinson’s disease animal models: a systematic review and meta-analysis.</strong>
DOI: 10.21335/nmdc-1473196070-333_3
title: CTD profile from 78.41416666666667 N, 17.145833333333332 E in Isfjorden, Svalbard, sampled at 05.11.2022, 08:52 UTC during the UNIS AGF311/811-cruise.

description: The file contains temperature, practical salinity and depth measurements binned into 1 db pressure bins. The raw data was measured at 78.41416666666667 N, 17.145833333333332 E at 05.11.2022, 08:52 UTC using a Seabird SBE9plus CTD and post-processed with the Seasoft software package. The following processing steps were applied (with default settings): 1. Data Conversion, 2. Wild Edit, 3. Align CTD, 4. Cell Thermal Mass, 5. Filter, 6. Bin Average. If not specified differently, the downcast of the profile was used.
DOI: 10.3886/e119121v1
title: Code for: Job Loss, Credit and Crime in Colombia

description: We investigate the effects of job displacement, as a result of mass-layoffs, on criminal arrests using a matched employer-employee-crime dataset from Medell\'in, Colombia. Job displacement leads to immediate and persistent earnings losses, and higher probability of arrest for both the displaced worker and family members. Leveraging a banking policy-reform, we find that greater access to credit attenuates the criminal response to job loss. Impacts on arrests are pronounced for property crimes and among younger men for whom opportunities in criminal enterprises are prevalent. Taken together, our results are consistent with economic incentives contributing to criminal participation decisions after job losses.
DOI: 10.5281/zenodo.3885404
title: Gravity modeling of the Alpine lithosphere affected by magmatism based on seismic tomography

description: The Southern Alpine regions have been affected by several magmatic and volcanic events between the Paleozoic and the Tertiary. This activity has undoubtedly had an important effect on the density distribution and structural setting at lithosphere scale. Combining the information from gravity field and a high-resolution seismic tomography has been carried out a new 3D lithosphere density model of the Alpine region.
description: {"references": ["Tadiello D., Braitenberg C., 2021, \"Gravity modelling of the Alpine lithosphere affected by magmatism based on seismic tomography\", Solid Earth, https://doi.org/10.5194/se-12-1-2021."]}
DOI: 10.6084/m9.figshare.21485256.v1
title: Data file 2 - In vivo data

description: The present study, an investigation was made on Centella asiatica extract and its one component AA with the positively charged chitosan-coated liposome as oral drug therapy for initial stage treatment against AD. <br> Alcl3 model was used to induce Alzheimer's disease.
DOI: 10.15156/bio/786386
title: UNITE QIIME release for eukaryotes

description: Three sets of QIIME files are released, corresponding to the SHs resulting from clustering at the 97% and 99% threshold levels. The third set of files is the result of a dynamic use of clustering thresholds, such that some SHs are delimited at the 97% level, some at the 97.5% level, some at the 98% level, and so on; these choices were made manually by experts of those particular lineages of fungi. The syntax is the same throughout the three sets of files.
DOI: 10.17632/4y3txnhg8z.1
title: UMS-euthanasia and nursing students' attitudes

description: Nursing Students’ Attitudes Regarding Euthanasia Due to Unbearable Mental Suffering: A cross-sectional Study

Abstract
Background: There is an increasing debate on euthanasia worldwide (e.g. Portugal), with some countries, such as Belgium, altering the legal framework. The euthanasia legislation in certain countries notes that 'unbearable suffering' of a mental nature may also be considered grounds for euthanasia. If such legislation becomes standard practice in the field, the consequences for healthcare workers would be significant. Since nursing students are the nurses of the future, it is important to examine their attitudes towards euthanasia due to unbearable mental suffering (UMS-euthanasia).
Objective: The current study introduces the adaptation of the validated Euthanasia Attitude Scale (EAS) with a focus on UMS-euthanasia in the Flemish (Belgium) setting, as well as final year nursing students’ attitudes towards UMS-euthanasia.
Design: Cross-sectional survey.
Setting/ participants: A sample of final-year baccalaureate nursing students (n=273) from eight of the eleven Flemish university colleges that agreed to participate.
Methods: Explorative, descriptive cross-sectional study conducted using an e-mail survey. The actual questionnaire contains 21 questions and was developed based on a consensus reached following independent translations by a native English speaker, a health education expert, and an end-of-life specialist. The psychometric properties of the EAS were assessed, including reliability and validity. Independent-Samples T Test was used to investigate relation between demographic and education-related data, and domain and total score of the UMS-EAS-NL. This study received ethical approval from the Ethical Committee of the University Hospital Brussels. This study was not registered.
Results: McDonald's Omega was 0.838 for the total EAS scores, supporting the validity of the questionnaire. There is a statistically significant difference in total questionnaire score between those who have been involved in euthanasia and those who have not (95% CI 0.031–0.511), as well as for ‘ethical considerations’ (95% CI 0.064–0.545). There are clinically important results for ‘Treasuring Life’ and ‘Naturalistic beliefs’.
Conclusions: This study’s sample is representative of the concerned population. McDonald's Omega quantifies the reliability allowing for some sub-domains. However, in order to compare with similar studies, the Cronbach's alpha was also calculated, and it is similar to previous studies (α=.812). Most of the final-year nursing students supported the availability of UMS-euthanasia. In order to monitor adequate care, it is necessary to prepare nursing students adequately for this complex matter.
DOI: 10.3886/icpsr02986
title: New York Times New York State Poll, June 2000
title: Archival Version

description: This special topic poll, fielded June 21-29, 2000, queried residents of New York State on a range of political and social issues. Respondents were asked to give their opinions of President Bill Clinton, New York State Governor George Pataki, Republican Senate candidate Rick Lazio, First Lady/Democratic Senate candidate Hillary Rodham Clinton, New York Mayor Rudolph Giuliani, and former State Senator Al D'Amato. Respondents were asked a series of questions regarding the current race for the United States Senate in New York and the presidential election. Issues addressed included respondents' feelings about abortion, whether vouchers should be issued to pay for private schooling, how best to deal with the budget surplus, and whether all guns should be registered with the state. Additionally, respondents were asked for their views on the nature of the Senate campaign, the importance of candidates' political experience, the relevance of a candidate being a naturalized New York citizen, and whether the current Senate campaign tactics were overly divisive. Background information on respondents includes age, sex, race, education, religion, voter registration and participation history, political party, political orientation, Hispanic descent, marital status, gun ownership, computer access, stock market investments, age of children in household, and family income.
description: ICPSR data undergo a confidentiality review and are altered when necessary to limit the risk of disclosure. ICPSR also routinely creates ready-to-go data files along with setups in the major statistical software formats as well as standard codebooks to accompany the data. In addition to these procedures, ICPSR performed the following processing steps for this data collection: Created variable labels and/or value labels..
description: Datasets: 
 
 DS1: Dataset
description: (1) This collection has not been processed by ICPSR staff. ICPSR is distributing the data and documentation for this collection in essentially the same form in which they were received. When appropriate, hardcopy documentation has been converted to machine-readable form, data files have been converted to non-platform-specific formats, and variables have been recoded to ensure respondents' anonymity. (2) The codebook is provided as a Portable Document Format (PDF) file. The PDF file format was developed by Adobe Systems Incorporated and can be accessed using PDF reader software, such as the Adobe Acrobat Reader. Information on how to obtain a copy of the Acrobat Reader is provided on the ICPSR Web site.
DOI: 10.48443/fb19-g348
title: Dissolved gases in surface water (DP1.20097.001)
title: RELEASE-2021

description: This data product contains the quality-controlled, native sampling resolution data from NEON's surface water dissolved gas sampling protocol. Water samples are equilibrated with air in the field. Samples of reference air (pre-equilibration) and equilibrated air (post-equilibration) are sent to external facilities for analysis to determine carbon dioxide, methane, and nitrous oxide concentrations in the gas samples. Data users should refer to the user guide for dissolved gases in surface water ([`NEON_dissolvGasInWater_UserGuide`](http://data.neonscience.org/api/v0/documents/NEON_dissolvGasInWater_userGuide_vA)) for suggestions on how to calculate dissolved concentrations of carbon dioxide, methane, and nitrous oxide in the surface waters from which samples were collected using Henry's Law and mass balance equations. For additional details, see the user guide, protocols, and science design listed in the Documentation section in this data product's details webpage.

Latency:
The expected time from data and/or sample collection in the field to data publication is as follows, for each of the data tables (in days) in the downloaded data package. See the Data Product User Guide for more information.

sdg_externalLabData:  120

sdg_externalLabSummaryData:  14

sdg_fieldData:  30

sdg_fieldDataAir:  30

sdg_fieldDataProc:  30

sdg_fieldSuperParent:  30
description: The dissolved gas sampling protocol is completed in conjunction with the water chemistry and aquatic stable isotope protocol. Grab samples of surface water at NEON aquatic sites are collected in streams 26 times per year and 12 times per year in lakes. In streams, 12 samples are collected at regular intervals during the sampling season, while the remaining 14 are collected on an irregular basis to capture major flow events. In lakes, samples are collected approximately monthly and to capture ice-on and ice-off events. For more information see [NEON.DOC.001199](http://data.neonscience.org/api/v0/documents/NEON.DOC.001199vK).
DOI: 10.5067/viirs/vnp02dnb_nrt.001
title: VIIRS/NPP Day/Night Band 6-Min L1B Swath SDR- 750m NRT
DOI: 10.5281/zenodo.7260689
title: 1-hour meteorological data set

description: 1-hour meteorological data set
DOI: 10.6084/m9.figshare.12594248
title: Metadata record for: A global-scale data set of mining areas

description: This dataset contains key characteristics about the data described in the Data Descriptor A global-scale data set of mining areas. <br> Contents: <br> 1. human readable metadata summary table in CSV format 2. machine readable metadata file in JSON format
DOI: 10.6084/m9.figshare.21749447
title: Supplementary Material for: Molecular Cytogenetic Characterization of C-Band-Positive Heterochromatin of the Greater Long-Tailed Hamster (<b><i>Tscherskia triton</i></b>, Cricetinae)

description: The greater long-tailed hamster (<i>Tscherskia triton</i>, Cricetinae) has a unique karyotype (2n = 28), containing 11 pairs of acrocentric chromosomes with large C-band-positive centromeric heterochromatin blocks. To understand the origin and evolutionary process of heterochromatin in this species, we isolated novel families of chromosome site-specific highly repetitive DNA sequences from <i>Taq</i>I-digested genomic DNA and then characterized them by chromosome in situ and filter hybridization. The <i>Taq</i>I-families of repetitive sequences were classified into 2 types by their genome organization and chromosomal distribution: the 110-bp repeated sequence organized in large tandem arrays (as satellite DNA), localized to centromeric C-positive heterochromatin of acrocentric autosomes (chromosomes 1–11) and submetacentric X chromosome, and the 405-bp repeated sequence that was composed of 30–32-bp internal repeats, distributed in the pericentromeric region on the short arms of X and Y chromosomes. The repetitive sequences did not cross-hybridize with genomic DNA of any genera of Cricetinae (<i>Mesocricetus</i>, <i>Cricetulus</i>, and <i>Phodopus</i>). These results suggest that the 110-bp and 405-bp repeats rapidly diverged in the lineage of <i>T. triton</i>, evolving in a concerted manner among autosomes and X chromosome and within X and Y chromosomes, respectively. The 110-bp centromeric repeat contained a 17-bp motif in which 9 bases are essential for binding with the centromere-associated protein CENP-B, suggesting the possibility that the 110-bp major satellite DNA carrying the 17-bp motif may have a role in the formation of specified structure and/or function of centromeres in <i>T. triton</i>.