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

description: A dataset containing 292 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Jacamaralcyon tridactyla (Vieillot, 1817)"
 ]
}

 The dataset includes 292 records from 25 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0007450-180730143533302/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.nx9d94
title: Occurrence Download

description: A dataset containing 18 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Erysimum boissieri Polatschek"
 ]
}

 The dataset includes 18 records from 10 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0154561-220831081235567/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.kmct4p
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is incertae sedis",
 "Year is greater than 2013",
 "Geometry MULTIPOLYGON (((13.488224 45.706743,13.488159 45.706743,13.488968 45.706001,13.487713 45.705712,13.485548 45.704784,13.482325 45.70401,13.478461 45.703261,13.47809 45.703313,13.477895 45.703546,13.477859 45.703772,13.477536 45.703747,13.477361 45.703567,13.477028 45.703429,13.476939 45.702982,13.476615 45.702958,13.476411 45.703078,13.475927 45.70306,13.47517 45.702977,13.474702 45.703145,13.474331 45.703197,13.473891 45.703065,13.473055 45.703323,13.472639 45.703489,13.472375 45.703537,13.472162 45.704221,13.471818 45.70461,13.471756 45.705176,13.47111 45.705802,13.470605 45.706197,13.470344 45.706282,13.469893 45.706675,13.469905 45.706825,13.470246 45.707015,13.469541 45.707628,13.46701 45.709491,13.464488 45.710791,13.46264 45.711126,13.460037 45.711416,13.458206 45.710624,13.457942 45.710672,13.45769 45.711545,13.459647 45.714585,13.459771 45.714805,13.45903 45.716936,13.459263 45.716925,13.470821 45.719628,13.474205 45.720396,13.475847 45.72082,13.476123 45.720246,13.476351 45.719749,13.47665 45.719474,13.477712 45.718682,13.479549 45.717521,13.480053 45.717126,13.480474 45.716358,13.480373 45.715762,13.479743 45.715261,13.478858 45.71492,13.477763 45.714625,13.476567 45.71441,13.476389 45.714191,13.47643 45.71404,13.477311 45.713667,13.477875 45.713345,13.478839 45.712669,13.480002 45.711797,13.481066 45.711042,13.481829 45.710524,13.481838 45.710496,13.483309 45.709602,13.485065 45.708782,13.48592 45.708749,13.488224 45.706743)))"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0027983-230530130749713/datasets/export for details.
DOI: 10.15468/dl.ovyzhp
title: Occurrence Download

description: A dataset containing 92 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "TaxonKey is Melanerpes formicivorus flavigula (Malherbe, 1849)",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 92 records from 13 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0007450-190415153152247/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ccfvfz
title: Occurrence Download

description: A dataset containing 118 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Psoralea striata Thunb."
 ]
}

 The dataset includes 118 records from 24 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0013364-230530130749713/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.48366/r684334
title: Analyzing Emergency Evacuation Strategies for Mass Gatherings using Crowd Simulation And Analysis framework: Hajj Scenario

description: Machine-readable form of paper Analyzing Emergency Evacuation Strategies for Mass Gatherings using Crowd Simulation And Analysis framework: Hajj Scenario.
DOI: 10.15468/dl.rs6zpc
title: Occurrence Download

description: A dataset containing 1609 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Persea palustris (Raf.) Sarg."
 ]
}

 The dataset includes 1609 records from 54 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0069189-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.f2mwge
title: Occurrence Download

description: A dataset containing 200353 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Phocoena phocoena (Linnaeus, 1758)"
 ]
}

 The dataset includes 200353 records from 426 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0013351-230530130749713/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ebcgy3
title: Occurrence Download

description: A dataset containing 6545 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is United States of America",
 "DatasetKey is iNaturalist Research-grade Observations",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Gopherus polyphemus (Daudin, 1801)",
 "Year 2017-2022"
 ]
}

 The dataset includes 6545 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0132415-220831081235567/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.yabs7r
title: Occurrence Download

description: A dataset containing 21 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Mitracarpus parvulus K.Schum."
 ]
}

 The dataset includes 21 records from 8 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0069192-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.herap9
title: Occurrence Download

description: A dataset containing 22 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Sesarmoides kraussi (De Man, 1888)"
 ]
}

 The dataset includes 22 records from 6 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0132417-220831081235567/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.7ea7yz
title: Occurrence Download

description: A dataset containing 2548 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Lagidium viscacia (Molina, 1782)"
 ]
}

 The dataset includes 2548 records from 49 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0048129-230530130749713/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.svjw9y
title: Occurrence Download

description: A dataset containing 366 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is South Africa",
 "TaxonKey is Erica densifolia Willd."
 ]
}

 The dataset includes 366 records from 19 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0069197-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.twagf2
title: Occurrence Download

description: A dataset containing 55 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Human Observation",
 "CoordinateUncertaintyInMeters 0.0-1000.0",
 "Country is Portugal",
 "OccurrenceStatus is Present",
 "TaxonKey is Triturus carnifex (Laurenti, 1768)"
 ]
}

 The dataset includes 55 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0145789-220831081235567/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.wnv5x7
title: Occurrence Download

description: A dataset containing 14120 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Stenella attenuata (Gray, 1846)"
 ]
}

 The dataset includes 14120 records from 275 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0013393-230530130749713/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.21989/d9/9dlp65
title: Within-hospital hospice racial disparity signatures

description: &lt;p&gt;In previous work, we describe healthcare utilization as a time-series signal from 6 months prior to death until the day of death [1]. This dataset specifically focuses on hospice utilization. We combined clinical information, systems engineering, and data science to develop hospital signatures that represent hospice utilization disparity between people of color and white people daily for six months before death for each hospital. We included hospitals with at least 11 people of color and 11 white people with poor-prognosis cancers. Specifically, for each patient with advanced cancer, hospice claims were used to identify which days prior to death they were enrolled in hospice. This data was converted into a 200-day vector of values (i.e., signal), with 0 for days not in hospice and 1 for days in hospice. For each hospital, patients were classified into one of two groups: white people (Non-Hispanic white) or people of color (Black or African-American, Asian/Pacific Islander, Hispanic, American Indian/Alaska Native, Unknown, Other) using the beneficiary race code from the Master Beneficiary Summary file. The signals for all patients belonging to a group were summed to generate the people of color and white people signals for each hospital. The signals were then normalized by dividing the signal values by the number of patients in each group. Next, a straightforward vector difference was calculated by subtracting the white signal from the minority signal to produce the difference signal, which results in positive or negative values from -100 to 100. In the case when the daily value is an event indicator variable, the difference described here is a difference of percentages. Positive values represent the percentage of higher hospice utilization by white people relative to people of color, and negative values represent the percentage of higher hospice utilization by people of color relative to white people. Each hospital difference signal represents the disparity signature for that hospital, which in the simple case of binary indicators for hospice status on a given day corresponds to the average difference in the number of days in hospice spent by white people compared to people of color at that hospital. Each row represents a time point labeled from 0 to 200, where 200 represents the day of death. Each column represents a hospital labeled by the hospital's CMS Certification number. There are also 7 columns for each of the “average” signals calculated for each of the hospital signature clusters (1-7) identified using machine learning from the related publication citation.&lt;p&gt;

&lt;p&gt;[1] Khayal IS, Brooks GA, Barnato AE. Development of dynamic health care delivery heatmaps for end-of-life cancer care: a cohort study. BMJ Open 2022;12:e056328. doi: &lt;a href="https://doi.org/10.1136/bmjopen-2021-056328" target="_blank"&gt;10.1136/bmjopen-2021-056328&lt;/a&gt;&lt;/p&gt;
DOI: 10.21989/d9/5ehr2x
title: Racial Inequality in Receipt of Medications for Opioid Use Disorder

description: &lt;h2&gt;BACKGROUND&lt;/h2&gt;
&lt;p&gt;Since 2010, Black persons in the United States have had a greater increase in opioid overdose–related mortality than other groups, but national-level evidence characterizing racial and ethnic disparities in the use of medications for opioid use disorder (OUD) is limited.&lt;/p&gt;

&lt;h2&gt;METHODS&lt;/h2&gt;
&lt;p&gt;We used Medicare claims data from the 2016–2019 period for a random 40% sample of fee-for-service beneficiaries who were Black, Hispanic, or White; were eligible for Medicare owing to disability; and had an index event related to OUD (nonfatal overdose treated in an emergency department or inpatient setting, hospitalization with injection drug use–related infection, or inpatient or residential rehabilitation or detoxification care). We measured the receipt of medications to treat OUD (buprenorphine, naltrexone, and naloxone), the receipt of high-risk medications (opioid analgesics and benzodiazepines), and health care utilization, all in the 180 days after the index event. We estimated differences in outcomes according to race and ethnic group with adjustment for beneficiary age, sex, index event, count of chronic coexisting conditions, and state of residence.&lt;/p&gt;

&lt;h2&gt;RESULTS&lt;/h2&gt;
&lt;p&gt;We identified 25,904 OUD-related index events among 23,370 beneficiaries, with 3937 events (15.2%) occurring among Black patients, 2105 (8.1%) among Hispanic patients, and 19,862 (76.7%) among White patients. In the 180 days after the index event, patients received buprenorphine after 12.7% of events among Black patients, after 18.7% of those among Hispanic patients, and after 23.3% of those among White patients; patients received naloxone after 14.4%, 20.7%, and 22.9%, respectively; and patients received benzodiazepines after 23.4%, 29.6%, and 37.1%, respectively. Racial differences in the receipt of medications to treat OUD did not change appreciably from 2016 to 2019 (buprenorphine receipt: after 9.1% of index events among Black patients vs. 21.6% of those among White patients in 2016, and after 14.1% vs. 25.5% in 2019). In all study groups, patients had multiple ambulatory visits in the 180 days after the index event (mean number of visits, 6.6 after events among Black patients, 6.7 after events among Hispanic patients, and 7.6 after events among White patients).&lt;/p&gt;

&lt;h2&gt;CONCLUSIONS&lt;/h2&gt;
&lt;p&gt;Racial and ethnic differences in the receipt of medications to treat OUD after an index event related to this disorder among patients with disability were substantial and did not change over time. The high incidence of ambulatory visits in all groups showed that disparities persisted despite frequent health care contact. (Funded by the National Institute on Drug Abuse and the National Institute on Aging.)&lt;/p&gt;
DOI: 10.21989/d9/5ehr2x/ulyjsr
title: fs1_exclusion_counts.sas
DOI: 10.21989/d9/5ehr2x/hpvu6n
title: 7_create_analyticfile.sas
DOI: 10.21989/d9/5ehr2x/mmfvhk
title: S13_opd_rcpt_desc_s3.sas
DOI: 10.21989/d9/5ehr2x/c5zo4z
title: T2_opd_rcpt_desc.sas
DOI: 10.21989/d9/5ehr2x/an1a81
title: S14_outcomes_rx_incl_death_s2.sas
DOI: 10.21989/d9/5ehr2x/8php8s
title: 6c_add_planid.sas
DOI: 10.21989/d9/5ehr2x/qotwjf
title: S16_ndc_results_s4.sas
DOI: 10.21989/d9/5ehr2x/c0fqo2
title: fig1_4yr_trends.sas
DOI: 10.21989/d9/5ehr2x/wplpcz
title: adj_contrasts.do
DOI: 10.21989/d9/5ehr2x/zrioon
title: 5_outcomes_rx.sas
DOI: 10.21989/d9/5ehr2x/oevt1j
title: 6b_add_mssp.sas
DOI: 10.21989/d9/5ehr2x/8o3slt
title: 2_create_cohort_s1.sas
DOI: 10.21989/d9/5ehr2x/cpnhy9
title: 3a_dx.sas
DOI: 10.21989/d9/5ehr2x/4eevay
title: S14_econmodel_s4.do
DOI: 10.21989/d9/5ehr2x/7r9oef
title: 6a_add_ccw.sas
DOI: 10.21989/d9/5ehr2x/qv6bdf
title: 2_create_cohort_s2.sas
DOI: 10.21989/d9/5ehr2x/l1iuoi
title: 4_stt_ptdfill.sas
DOI: 10.21989/d9/5ehr2x/ax8gpj
title: S14_cohort_incl_death_s1.sas
DOI: 10.21989/d9/5ehr2x/iv7txv
title: 3_outcomes_hc_util.sas
DOI: 10.21989/d9/5ehr2x/iku49p
title: S14_analyticfile_dth_s3.sas
DOI: 10.21989/d9/5ehr2x/rlaqgz
title: econmodel_main.do
DOI: 10.21989/d9/5ehr2x/kfvgwn
title: T4_hc_util.sas
DOI: 10.17632/z8cf7866bj.1
title: Macrogenomic raw data-1

description: LP-H
DOI: 10.21989/d9/5ehr2x/gmt6vl
title: S8_opd_rcpt_desc.sas
DOI: 10.5281/zenodo.10805407
title: Lex-Atlas:Covid-19 Federalism Data

description: The rapid response to the pandemic in countries around the globe made the use of emergency powers both essential and attractive for governments. The Author Guidance Code (AGC) asked authors to answer a range of questions in their country reports. In responding to the pandemic, countries took variations in the constitutional framework for pandemic law-making. In this dataset, we focus specifically on how Federal countries responded to the Covid-19 pandemic.

In the first section, we hand-coded both Constitutional and Legal frameworks, and how they interplayed between national and subnational jurisdictions. The topics covered in this section include: Constitutional and International Law, Statutory Emergency, Executive Rule-Making Power, and Guidance.

In the second section, we hand-coded issues related to Institutions and Oversight. The Role of Legislatures (and the functioning of subnational legislatures), Courts, Elections, Public Health Measures, and Enforcement are covered.

In the third section, we look into Social Protection measures. We cover a range of topics, including Social Assistance and Insurance, Tax Relief, Employment Protection, and Human Rights and Vulnerable Groups.

Dataset is available here: https://lexatlas-c19.org/federalism-data/.
DOI: 10.5281/zenodo.10805408
title: Lex-Atlas:Covid-19 Federalism Data

description: The rapid response to the pandemic in countries around the globe made the use of emergency powers both essential and attractive for governments. The Author Guidance Code (AGC) asked authors to answer a range of questions in their country reports. In responding to the pandemic, countries took variations in the constitutional framework for pandemic law-making. In this dataset, we focus specifically on how Federal countries responded to the Covid-19 pandemic.

In the first section, we hand-coded both Constitutional and Legal frameworks, and how they interplayed between national and subnational jurisdictions. The topics covered in this section include: Constitutional and International Law, Statutory Emergency, Executive Rule-Making Power, and Guidance.

In the second section, we hand-coded issues related to Institutions and Oversight. The Role of Legislatures (and the functioning of subnational legislatures), Courts, Elections, Public Health Measures, and Enforcement are covered.

In the third section, we look into Social Protection measures. We cover a range of topics, including Social Assistance and Insurance, Tax Relief, Employment Protection, and Human Rights and Vulnerable Groups.

Dataset is available here: https://lexatlas-c19.org/federalism-data/.
DOI: 10.21989/d9/5ehr2x/pzmapd
title: 1_oudevtlvl.sas
DOI: 10.17632/4jj6s23fty.1
title: PVG replication package

description: This data sets support the research paper "Towards Sustainable Practices in Photovoltaic and Agricultural Greenhouse Systems: Valuing Ecosystem Services". This paper uses a partial equilibrium model of Israel’s vegetative agriculture to evaluate the economic implications of introducing transparent solar panels as photovoltaic and agricultural greenhouse systems with low impact on agricultural activities. 

Authors: Aviv Steren, Yehuda Slater, Ofir D. Rubin1, Aliza Fleischer, and Iddo Kan
DOI: 10.21989/d9/5ehr2x/nmdqit
title: S16_cpt_results_s2.sas
DOI: 10.21989/d9/5ehr2x/tqeljc
title: 0_create_oud_formats.sas
DOI: 10.21989/d9/5ehr2x/mxzmwh
title: S16_cpt_model_s1.sas
DOI: 10.21989/d9/5ehr2x/zxmjpd
title: S13_econmodel_pln_clus.do
DOI: 10.17632/xv99b2mtfk.1
title: Customer Purchase Behavior

description: This dataset contains information about 3,900 customers and their purchase behavior in an e-commerce setting. The data spans various customer demographics, purchase preferences, and transactional details. It is designed to help analyze customer behavior, shopping patterns, and marketing effectiveness
DOI: 10.21989/d9/5ehr2x/9eubvl
title: S16_ndc_model_s3.sas
DOI: 10.21989/d9/5ehr2x/kir7to
title: T1_pt_char.sas
DOI: 10.21989/d9/5ehr2x/sn2k0y
title: 00_readme.txt
DOI: 10.21989/d9/mwpi6r
title: Medicare Mortality Rates (1999-2019)

description: &lt;h2&gt;Overview&lt;/h2&gt;
&lt;p&gt;The Dartmouth Institute for Health Policy and Clinical Practice (TDI) has created a publicly available source of data that provides researchers, payers, regulators, and innovators with metrics that quantify temporal and regional patterns of health care spending and utilization in the United States. Using CMS Medicare claims data (mostly for age &gt;64 enrollees), Atlas researchers built cohorts (“denominators”) and numerous measures or events (“numerators”) which were then used to calculate rates either by geography or for patients assigned to specific hospitals. These rates, which are calculated consistently across time and place, provide researchers with opportunities to evaluate spatial and temporal variation/trends. &lt;/p&gt;

&lt;p&gt;This entry contains Dartmouth Atlas mortality rate data for the 65+ Medicare population, including overall mortality rates, mortality rates for beneficiaries with health maintenance organization (HMO) coverage, and mortality rates for beneficiaries without HMO coverage. Rates are provided at the state, hospital referral region (HRR), and hospital service area (HSA) levels, and all rates have been adjusted for age, sex, and race. &lt;/p&gt;

&lt;p&gt; Users downloading data should review the methods sections of Dartmouth Atlas reports for context as well as for information about any temporal changes in methods. All reports in the Dartmouth Atlas of Health Care series are available from the National Library of Medicine &lt;a href="https://www.ncbi.nlm.nih.gov/books/NBK584737/"&gt;https://www.ncbi.nlm.nih.gov/books/NBK584737/&lt;/a&gt;&lt;p&gt;

&lt;p&gt; Note that for the general Dartmouth Atlas rate datasets, which span multiple decades, the author list includes all Dartmouth staff (programmers, analysts, supervisors, etc.) involved in generating all types of Atlas rates across all years. We do not attempt to assign individuals to specific datasets or years. &lt;p&gt;
DOI: 10.17632/z8cf7866bj.2
title: Macrogenomic raw data-1

description: LP-H
DOI: 10.5281/zenodo.14651982
title: rubens

description: Full set of scoring sheets of male-male interactions with Gryllus rubens individuals
DOI: 10.5281/zenodo.14651983
title: rubens

description: Full set of scoring sheets of male-male interactions with Gryllus rubens individuals
DOI: 10.17632/4jj6s23fty.2
title: PVG replication package

description: This data sets support the research paper "Towards Sustainable Practices in Photovoltaic and Agricultural Greenhouse Systems: Valuing Ecosystem Services". This paper uses a partial equilibrium model of Israel’s vegetative agriculture to evaluate the economic implications of introducing transparent solar panels as photovoltaic and agricultural greenhouse systems with low impact on agricultural activities. 

Authors: Aviv Steren, Yehuda Slater, Ofir D. Rubin1, Aliza Fleischer, and Iddo Kan